"...an excellence PhD program, in collaboration with top universities world wide" – Paolo Tonella, Director of the FBK International PhD Program
Three reasons to be a PhD student at FBK :)
Laboratories
FBK offers a unique stimulating and exciting environment to its PhD students. PhD students supervised by FBK researchers conduct their work in the lab of the research units, in strict collaboration with the units’ teams and under the supervision of top-ranked researchers, targeting the highest scientific and publication standards.
International network
The PhD program is carried out in collaboration with prestigious national and international affiliated universities. Over 90 PhD students are allocated to FBK's research units and are actively involved in international research projects and mobility programs.
Excellence
Most alumni of the PhD program have an exceptionally strong publication and citation record, and have been enrolled in prestigious institutions, as IBM T. J. Watson and University of Colorado at Boulder. During the FBK PhD Day, the best PhD student who graduated in the previous year is granted a monetary award.
OUR CENTERS
FBK's research includes information and communication technologies, materials and microsystems, religious studies.
The research institute for the evaluation of public policies
Open Calls
Apply for a PhD at FBK through one of our affiliated universities
Call For Internship Students
Opportunities for paid research internships at FBK
Title: Security Testing
Tutor: Mariano Ceccato (ceccato@fbk.eu)
Duration: Apr 1 - Oct 31, 2018
Url:http://selab.fbk.eu/jobs/Call%20for%20internship%20SE.pdf
Abstract: The goal is generating input values (referred to as test payloads), intended to exercise vulnerabilities and evaluating whether such payloads manage to expose an actual vulnerability, i.e., the security oracle.
More detail:
PhD School: Computer Science and Systems Engineering - Secure and Reliable Systems
Number of positions: 3
Info: http://www.dibris.unige.it Closing Date: June 12th, 2018
If you are interested in the following research topics, send your expression of interest to the contact persons:
Topic: Machine Learning for Neuroscience
Upcoming call:PhD call at the University of Trento
Contact: avesani@fbk.eu
Courses
FBK hosts lectures for PhD students given by renowned international lecturers as well as recognized FBK researchers. Attendance to the courses is open to any FBK PhD student or researcher.
IoT-Industry 4.0 - Fundamentals and Applications Martin Serrano
This 5 days course will be organised as follows: the first 2 days will include principles of IoT, mostly focusing on models, architectures and platforms, while the remaining three days will be specialised on Industry 4.0 applications with practical demonstrations with RFIC, BLE, WiFi etc. Both, technical and practical parts will be tailored to reflect profile and competences of the students.
Location Sala Grande Palazzina B (via della Cascata) - Trento
Schedule
december 11, 2017 10:00-16:30
december 12, 2017 10:00-16:30
december 13, 2017 10:00-16:30
december 14, 2017 10:00-16:30
december 15, 2017 10:00-16:30
Students
Get to know the students currently carrying out their PhD at FBK
Greta Adamo
Formal ontologies
Dhaval Adjodah
Understanding Human Dynamics
Ruchit Rajeshkumar Agrawal
Deep Learning for Machine Translation
Tahir Ahmad
Security and Trust
Salek Ali Muhammad
Application of blockchain technologies to the Internet of Things
Mattia Antonini
Embedded machine learning and AI techniques for cognitive IoT devices
Pietro Astolfi
Computational Methods for Brain Connectivity Analysis
Duygu Ataman
Flexible machine translation
Martina Azzolini
Monte Carlo simulations of electron transport and mechanical phenomena in graphene and related 2d materials and composites
Vevake Balaraman
Flexible Dialogue Models for Conversational Agents and ChatBots
Rasoul Behravesh
Control and data resiliency in 5G network and beyond
Elena Beretta
Data Ethics
Giulia Bertò
Machine Learning for Neuroscience
Matteo Biagiola
Software Engineering
Paolo Bosetti
Biologia Matematica e Computazionale
Hana Bredikovà
International Politics and Conflict Resolution
Gabriele Calabrò
Deep learning for behavioral data in reproducible autism research
Andrea Capuano
Microfluidic devices for microanalysis
Rocco Carcione
Diamond-based architectures for nanosystems and devices
Ilaria Cataldo
The relationships between genes, psychological traits, and behaviors
Simone Centellegher
Designing incentive models for citizen cooperation in smart communities
Gianmarco Cerutti
Energy efficient wearable computing for the Internet of Things
Rajen Chatterjee
Automatic Post-Editing for Machine Translation
Alessio Coletta
Security Monitoring for Cyber Physical Systems
Jacek Dabrowski
Investigation of techniques to improve requirements and architectural decisions during the development and evolution of complex software systems
Alessandro Daniele
Deep Learning for complex data trajectories
Salimeh Dashti
Data Protection
Federica De Luca
Diritto delle Relazioni industriali e di lavoro - PhD in Labour Productivity and Workplace Change”
Marco De Nadai
Investigating the relationships between spatial structures and urban characteristics
Martina De Sanctis
Design for Adaptation of Distributed Service-Based Systems
Biniam Fisseha Demissie
Automatic Generation of Security Test Cases for Inter-Component Communication Vulnerabilities
Mattia Antonino Di Gangi
Deep learning for human-in-the-loop advanced machine translation
Damu Ding
Robustness and security in SDN/NFV environments
Domenica Dininno
Il Circo Massimo nell’assetto urbanistico della Regio XI: ricostruzione diacronica e analisi topografica con l’applicazione delle tecnologie ICT
Elena Donini
Sub-surface modelling and understanding by information extraction from radar sounder data
Roberto Doriguzzi Corin
Methods and Techniques for Dynamic deployability of SDN/NFV systems
Shahi Dost
Machine Learning and Logical Reasoning for multimedia event detection
Raphael Durante
Arguing Religion in Europe
Mattia Duranti
Modelling and engineering of energy storage systems to balance variable and intermittent energy sources
Mohammad Amin Farajian
Machine translation for CAT
Ambra Fastelli
Francescomaria Faticanti
Strategic allocation of resources in highly distributed and heterogeneous computing and information systems under concurrency and multitenancy
Anna Feltracco
Linguistica Computazionale
Andrea Filippi
Sviluppo di fotorivelatori di singolo fotone al silicio con integrazione di nanostrutture plasmoniche
Francesco Maria Follega
Silvia Fornasini
Social inclusion and peer support in ICT for physical-mental wellbeing
Gabriele Franch
Silvio Fugattini
Tecniche avanzate per la realizzazione o la caratterizzazione di dispositivi a semiconduttore
Andrea Gaiardo
Tecnologie abilitanti di microlavorazione del silicio per la sensoristica di gas
Lorenzo Gatti
Natural language processing and production of persuasive messages
Simone Ghio
Design and microfabrication of multifunctional bio-inspires surfaces
Davide Giovanelli
Energy Efficient Embedded Digital Architectures
Damiano Giubertoni
Nanostrutturazione di film sottili di semiconduttori
Pawel Gomoluch
Decentralized Adataption with Partial and Distributed Knowledge
Eleonora Grilli
Segmentazione e semantica in nuvole di punti architettoniche
Didem Gundogdu
Modeling Human Social Dynamics
Aravind Harikumar
Remote sensing for environmental monitoring
Davit Harutyunyan
Functional split in 5g networks
Kerry Ellen Hellmuth
Nudging toward Better Health: Application of Behavioral Economics to Health Decisions
Ahmed Irfan
Efficient SMT-based Model Checking of Reactive Systems w
Gunel Jahangirova
The Oracle Problem in Software Testing
Ahmed Salih Fadhil Jumaah
Socio-Technical and Gamified Systems for managing Health and Wellbeing
Elena Kalinina
Machine Learning for Neuroscience
Abdullah Khan
Understanding multimedia contents
Moustafa Ahmed Soliman Khatib
Terahertz Image Sensors in CMOS technologies
Reza Khoshkangini
Brain, mind and computer science
Soufiane Krik
Ricerca e Sviluppo di materiali nanostrutturati per sensori di gas
Surafel Melaku Lakew
Deep learning for human-in-the-loop advanced machine translation
Mohamed Ilyes Lakhal
Deep learning for mobile camera networks
Isotta Landi
Predictive Models for developmental trajectories
Ivano Lauriola
Knowledge extraction from scientific publications in the life science domain exploiting existing knowledge repositories
Matteo Lorenzini
Enrica Loria
Gamification for Smart Cities and Communities
Samuel Louvan
Cross-Language Semantic Parsing
Lorenzo Lucchini
Modeling opinion, culture and knowledge dynamics using big data.
Babak Mafakheri
Centralized vs distributed Self-Organizing Network features in 5G Small Cell networks
Massimiliano Mancini
Local Deep Learning techniques for Scene Understanding
Marco Marcante
Development of cryogenic Silicon Photomultipliers for Dark Matter search
Francesca Marchetti
Application of graphene to nanofluids synthesis for solar thermal applications
Antonio Marsico
Intent-based networking and service negotiation
Damiano Martorelli
Development of multi-techniques systems and methodologies for material characterization in the fields of material science, cultural heritage and environmental control
Antonio Massaro
A study in game theory on resources allocation in distributed information and computing systems
Eleonora Mencarini
Haptic Feedback for Learning Sports
Stefano Menini
Diachronic and Synchronic Comparisons of Points of View
Stefano Merzi
Application of novel position-sensitive Silicon PhotoMultipliers to medical imaging
Tommaso Morresi
Numerical simulations on the mechanics of nanocomposites based on graphene or other 2D materials
Yaroslav Nechaev
Joint Attribute Extraction and Profile Alignment
David Novel
Tensile tests and traction of graphene and related 2d materials and composites
Andrea Pedrielli
Numerical simulations on energy storage and deformation of "3D" graphene and related materials
Matteo Perenzoni
Sensori di immagine multispettrali
Giulio Petrucci
Information Extraction for Learning Expressive Ontologies
Miguel Rodrigo Pincheira Caro
Security and privacy preservation in IoT discovery, authentication and access control through blockchain technologies
Davide Pirrone
Change detection methodologies for multi-temporal SAR images
Rajeev Kumar Piyare
Exploiting Ultra-low Power Wake-up Radios to enable Low Energy Internet of Things (LE-IoT)
Luca Putelli
Artificial Intelligence and Machine Learning for modern applications/Intelligenza Artificiale e Machine Learning per Applicazioni Moderne
Xinyuan Qian
Queen Mary University of London
Md Masoom Rabbani
Brain, Mind and Computer Science
Vandana Rajan
Electronic Engineering and Computer Science
Scott Nicholas Romaniuk
International Politics and Conflict Resolution
Alessandro Rossi
Attività di ricerca nell'area della Visione Artificiale
Subhankar Roy
Deep learning for image and video analysis
Manuele Rusci
Energy Efficient Heterogeneous Computing for smart wearable
Carolina Beniamina Rutta
Human-Computer Interaction: narration and deliberation
Sudipan Saha
Remote Sensing image processing
Francesco Segatta
Computational Based Design of Bio-Inspired Electrochromic Molecules for Colour Tuneable Electronic Ink
Mirko Sessa
Model-based design and planning in Plant Automation
Amir Sharif
Seyedmostafa Sheikhalishahi
Prediction of chronic diseases using deep learning
Federico Sinigaglia
Security Analysis and Testing of Strong Authentication Protocols based on Mobile Devices
Hari Siswantoro
Automated regulatory compliance checking of ABAC policies
Rachele Sprugnoli
Temporal Processing of Historical Texts
Swathikiran Sudhakaran
Vision for Multimedia Understanding
Amirhossein Tebbifakhr
Deep Learning for Machine Translation
Matteo Terzi
Alessio Xompero
A Distributed Approach for Localization, Mapping and Object Tracking in Mobile Smart Camera Networks
Marco Zanella
Majid Zarghami
CMOS readout ASIC for single-photon and radiation detectors
Chenfan Zhang
Attivita di design di un sensore HV per detector di particelle
Emre Özdemir
3D city modeling and 3D cadastre
Affiliated Universities
Our PhD students get their degree from top ranked national and international universities
Università degli Studi di Trento
joint phd school and agreement with phd schools
Università degli studi Di Padova
joint phd school
Università degli Studi di Bologna
joint phd school
Consorzio delle Università degli Studi di Firenze, Pisa e Siena
joint phd school
Università degli Studi di Genova
joint phd school
University College London, UK
agreement with phd school
Imperial College London, UK
agreement with phd school
Queen Mary University, London, UK
agreement with phd school
Massachusetts Institute of Technology, USA
agreement with phd school
Università degli Studi di Pavia
agreement with phd school
Università degli Studi di Brescia
agreement with phd school
University of Luxembourg
agreement with phd school
Università degli Studi di Roma "Tor Vergata"
agreement with phd school
Politecnico di Torino
agreement with phd school
Pontifical Catholic University of Rio Grande do Sul
Novel method and models to validate H2 storage in solid state material
Advisor: Crema Luigi
University of Trento
Students who graduated in 2016
Hesong Xu
Solid-state single-photon detectors and CMOS readout circuits for positron emission tomography applications
Advisor: Stoppa David
University of Trento
Matthieu Dominique Patrick Vergne
Expert Finding for Requirements Engineering
Advisor: Susi Angelo
University of Trento
Guido Sordo
Novel multi-modal wideband vibrations MEMS energy harvesting concepts for self-powered Internet of Things (IoT) applications, with focus on converterâ??s size and power scalability
Advisor: Iannacci Jacopo
University of Trento
Maria Secchi
Nanostructure formation on Germanium by ion irradiation
Advisor: Giubertoni Damiano
University of Trento
Gaia Cecilia Santini
Purification and detection of cancer-related miRNA in microdevices
Advisor: Potrich Cristina
University of Trento
Alina Samusenko
Silicon-based photonic integrated circuit for label-free biosensing
Advisor: Pucker Georg
University of Trento
Paramita Paramita Mirza
Extracting Temporal and Causal Relations between Events
Advisor: Tonelli Sara
University of Trento
Thien Bao Nguyen
Machine Learning for Tract Segmentation in dMRI data
Advisor: Avesani Paolo
University of Trento
Vo Ngoc Phuoc An
Contributions to Semantic Textual Similarity Algorithms
Advisor: Popescu Octavian
University of Trento
Katsiaryna Labunets
Empirical Comparison of Security Risk Assessment Methods
Advisor: Armando Alessandro/Fabio Massacci
University of Trento
Francesco Frizzera
I profughi trentini nella Grande Guerra. Identità multiple, fedeltà percepita, welfare statale
Advisor: Pombeni Paolo
University of Trento
Francesco Corcoglioniti
Frame-based Ontology Population from Text: Models, Systems and Applications
Advisor: Serafini Luciano, Marco Rospocher
University of Trento
Josè Guilherme Camargo De Souza
Adaptive Quality Estimation for Machine Translation and Automatic Speech Recognition
Advisor: Negri Matteo, Turchi Marco, Federico Marcello
University of Trento
Benjamin Bittner
Formal Failure Analyses for Effective Fault Management: An Aerospace Perspective
Advisor: Alessandro Cimatti, Marco Bozzano
University of Trento
Students who graduated in 2015
Tuan Anh Truong
Efficient Automated Security Analysis of Complex Authorization Policies
Advisor: Armando Alessandro
University of Trento
Gianluca Schiavo
Socially-Aware Interfaces for Supporting Co-located Interactions
Advisor: Zancanaro Massimo
University of Trento
Usman Raza
From Energy Efficient to Energy Neutral Wireless Sensor Networks
Advisor: Murphy Amy Lynn
University of Trento
Erica Raimondi
Increased qualifications and fewer dropouts? From compulsory schooling to vocational education in Italy.
Advisor: Schizzerotto Antonio
University of Trento
Sinan Mutlu
Multi-target tracking in unevenly illuminated scenes
Advisor: Messelodi Stefano
University of Trento
Itzel Morales Ramirez
Exploiting Online User Feedback in Requirements Engineering
Advisor: Perini Anna
University of Trento
Rad Nastaran Mohammadian
_empty_
Advisor: Furlanello Cesare
University of Trento
Andrea Micheli
Planning and Scheduling in Temporally Uncertain Domains
Advisor: Cimatti Alessandro
University of Trento
Cristian Mattarei
Scalable Safety and Reliability Analysis via Symbolic Model Checking Theory and Applications
Advisor: Cimatti Alessandro
University of Trento
Svetlana Kovaleva
Entrepreneurial Behavior is Still a Black Box. Three Essays on How Entrepreneurial Learning and Perceptions Can Influence Entrepreneurial Behavior and Firm Performance
Advisor: Rettore Enrico
University of Trento
Fitsum Meshesha Kifetew
Evolutionary Test Case Generation via Many Objective Optimization and Stochastic Grammars
Advisor: Tonella Paolo
University of Trento
Mathew Joseph
Query Answering over Contextualized RDF/OWL Knowledge with Expressive Bridge Rules Decidable classes
Advisor: Serafini Luciano
University of Trento
Anna Grillini
La mente dei civili. Storia e storie da un manicomio di confine (Pergine Valsugana 1909-1924)
Advisor: Bellabarba Marco/Mondini Marco
University of Trento
Marco Elio Gustavo Gario
A Formal Foundation of FDI Design via Temporal Epistemic Logic
Advisor: Cimatti Alessandro
University of Trento
Ailbhe Noelle Finnerty
Understanding Human Social Behaviour with Computational Social Science
Advisor: Pianesi Fabio
University of Trento
Simona Cicognani
Three essays in experimental and labor economics
Advisor: Schizzerotto Antonio
University of Trento
Attaullah Buriro
_empty_
Advisor: Armando Alessandro
University of Trento
Fabio Brigidi
Modelling of Grazing Incidence X-Ray Fluorescence (GIXRF) for surface layer characterisation
Advisor: Bersani Massimo
University of Trento
Alessander Botti Benevides
From states to objects and events through stratification: A formal account and an application to data analytics
Advisor: Ghidini Chiara
University of Trento
Students who graduated in 2014
Sergio Mover
Verification of Hybrid Systems using Satisfiability Modulo Theories
Advisor: Cimatti Alessandro
University of Trento
Elisabetta Mazzuca
A novel high-efficency SiPM-based system for Ps-TOF
Advisor: Piemonte Claudio
University of Trento
Lorenza Marocchi
Surface Functionalizations towards Nucleic Acid Purification: a nanoscale study
Advisor: Pederzolli Cecilia/Lunelli Lorenzo
University of Trento
Muhammad Tahir Khan
Involving Domain Experts in the construction of OWL ontologies experience oriented and tool base support for template-based modelling and knowledge reuse
Advisor: Serafini Luciano
University of Trento
Leo Huf Campos Braga
Modeling, Design and Characterization of a Multi-Pixel Digital SiPM for PET Applications
Advisor: Stoppa David
University of Trento
Tao Hu
Adaptation in Non-Parametric State Estimation with Application to People Tracking
Advisor: Messelodi Stefano
University of Trento
Suzana Domingues
CMOS Terahertz Sensors and Circuits for Imaging Applications
Advisor: Stoppa David
University of Trento
Ali Fawzi Najm Al-Shammari
OVVM Open Vote Verification Technique for DRE Systems
Advisor: Villafiorita Monteleone Adolfo
University of Bolzano
Michele Filosi
A network medicine approach on microarray and Next generation Sequencing data
Advisor: Furlanello Cesare
University of Trento
Students who graduated in 2013
Gözde Özbal
Computational Approaches to Linguistic Creativity for Real World Applications
Advisor: Strapparava Carlo
University of Trento
Mohammed Abdul Whaeed
Acoustic Model Adaptation For Reverberation Robust Automatic Speech Recognition
Advisor: Matassoni Marco
University of Trento
Roberto Visintainer
Distances and Stability in Biological Network Theory
Advisor: Jurman Giuseppe
University of Trento
Olga Shcherbakova
3D Camera based on gain-modulated CMOS avalanche photodiodes
Advisor: Stoppa David
University of Trento
Abdul Qader Ahsan Qureshi
Multilayer micromachined RF MEMS filters at Ka and L/S band for on-board satellite communication systems
Advisor: Margesin Benno
University of Trento
Luca Pelliccia
Tunable and Miniaturized Waveguide Filters for Advanced Communication Systems
Advisor: Margesin Benno
University of Trento
Giovanni Paternoster
Silicon concentrator solar cells: fabrication, characterization and development of innovative designs
Advisor: Ferrario Lorenza
University of Trento
Rajesh Pandiyan
Growth by radio frequency sputtering and characterisation of rare earth doped wide bandgap oxides
Advisor: Bensaada Laidani Nadhira
University of Trento
Kyriaki Kalimeri
Traits States And Situations Automatic Prediction Of Personality And Situations From Actual Behavior
Advisor: Pianesi Fabio
University of Trento
Ebrahimi Saameh Golzadeh
_empty_
Advisor: Omologo Maurizio
University of Trento
Andrea Gobbi
Theoretical and algorithmic solutions for null models in network theory
Advisor: Jurman Giuseppe
University of Trento
Mekuria Eshete Birhanu
Effective Analysis Characterization and Detection of Malicious Activities on the Web
Advisor: Villafiorita Monteleone Adolfo
University of Trento
Evgeny Demenev
Evolution of Arsenic nanometric distribution in Silicon under advanced ion implanation and annealing processes
Advisor: Giubertoni Damiano
University of Trento
Aaron Ciaghi
Standardizing ICT for Development Towards the Definition of a Standard Process and Maturity Model for ICTD Projects
Advisor: Villafiorita Monteleone Adolfo
University of Trento
Md Faisal Mahbub Chowdhury
Improving the Effectiveness of Information Extraction from Biomedical Text
Advisor: Lavelli Alberto
University of Trento
Antonino Calà Lesina
Parallel FDTD Electromagentic Simulation of Dispersive Plamonic Nanostructures and Opal Phothonic Crystals in the Optical Frequency Range
Advisor: Vaccari Alessandro
University of Trento
Arianna Bisazza
Linguistical motivated recordering modlling for phrase-based stastical machine translation
Advisor: Federico Marcello
University of Trento
Ligia Maria Batrinca
Multimodal Personality Recognition from Audiovisual Data
Advisor: Pianesi Fabio
University of Trento
Giorgio Baratti
Tecniche digitali di Modellazione 3D applicate alla ricerca e documentazione archelogica
Advisor: Stoppa David
University of Trento
Andrea Avancini
Security testing of Web en smart phone applicarions
Advisor: Ceccato Mariano/Tonella Paolo
University of Trento
Students who graduated in 2012
Kateryna Tymoshenko
A General Framework for Exploiting Background Knowledge in Natural Language Processing
Advisor: Giuliano Claudio
University of Trento
Iulia Sirbu Adina
Corrective Evolution of adaptable process models
Advisor: Pistore Marco
University of Trento
Yashar Mehdad
Cross-lingual Textual Entailment and Applications
Advisor: Federico Marcello
University of Trento
Ioana Luciu
RF plasma synthesis and characterization of thin films for transparent conductors
Advisor: Bensaada Laidani Nadhira
University of Trento
Gianluca Lebani
STaRS.sys designing and building a commonsense-knowledge enriched wordnet for therapeutic purposes
Advisor: Pianta Emanuele
University of Trento
Susanne Greiner
Bayesian Inference for Brain Decoding
Advisor: Avesani Paolo
University of Trento
Michela Ferron
Collective memories in Wikipedia
Advisor: Massa Paolo
University of Trento
Nicola Cottini
Ultra-Low-Power Vision Systems for Wireless Applications
Advisor: Gottardi Massimo
University of Trento
Anna Battisti
Computer simulations of biomolecular systems
Advisor: Dapor Maurizio
University of Trento
Surafel Lemma Abebe
Supporting Concept Extraction and Identifier Quality Improvement through Programmers' Lexicon Analysis
Advisor: Tonella Paolo
University of Trento
Students who graduated in 2011
Ahmed Qureshi Nauman
Requirements Engineering for Self-Adaptive Software Bridging the Gap Between Design-Time and Run-Time
Advisor: Perini Anna
University of Trento
Maksim Khadkevich
Music signal processing for automatic extraction of harmonic and rhythmic information
Advisor: Omologo Maurizio
University of Trento
Giorgio Guzzetta
A new computational approach to the integrated modeling of infectious diseases
Advisor: Furlanello Cesare
University of Trento
Matteo Ceriotti
Guaranteeing Communication Quality in Real World WSN Deployments
Advisor: Murphy Amy Lynn
University of Trento
Elena Cardillo
A lexi-ontological resource for consumer healthcare
Advisor: Serafini Luciano
University of Trento
Elena Cabrio
Component-Based Textual Entailment a Modular and Linguistically-Motivated Framework for Semantic Inferences
Advisor: Magnini Bernardo
University of Trento
Paolo Armani
Progress of Monte Carlo methods in nuclear physics using EFT–based NN interaction and in hypernuclear systems.
Advisor: Pederiva Francesco
University of Trento
Students who graduated in 2010
Komminist Sisai Weldemariam
Using Formal Methods for Building more Reliable and Secure e-voting Systems
Advisor: Villafiorita Monteleone Adolfo
University of Trento
Parisa Ture Savadkoohi
Study of the electromechanic aspects of RF MEM devices with particular emphasis on the dynamic behavior for the case of RF MEM switches and tuneable capacitors
Advisor: Margesin Benno
University of Trento
Sara Tonelli
Semi-automatic techniques for extending the FrameNet lexical database to new languages
Advisor: Pianta Emanuele
University of Venezia Ca' Foscari
Francesco Solazzi
Novel Design Solutions for High Reliability RF MEMS Switches
Advisor: Margesin Benno
University of Trento
Cristina Ress
MICRO ELECTROCHEMICAL SENSORS AND PCR SYSTEMS: CELLULAR AND MOLECULAR TOOLS FOR WINE YEAST ANALYSIS
Advisor: Lorenzelli Leandro
University of Trento
Marina Repich
Development of a simulation environment for the analysis and the optimal design of fluorescence detectors based on single photon avalanche diodes
Advisor: Stoppa David
University of Trento
Daniele Pighin
Greedy Feature Selection in Tree Kernel Spaces
Advisor: Federico Marcello, Moschitti Alessandro
University of Trento
Lara Odorizzi
Lab-on-cell and cantilever-based sensors for gene analysis
Advisor: Lorenzelli Leandro
University of Trento
Nicole Novielli
Lexical Semantics of Dialogue Acts
Advisor: Strapparava Carlo
University of Bari
Francesco Nesta
Techniques for robust source separation and localization in adverse environments
Advisor: Omologo Maurizio
University of Trento
Mirko Morandini
Goal-Oriented Development of Self-Adaptive Systems
Advisor: Penserini Loris/Perini Anna
University of Trento
Chiara Di Francescomarino
Semantic Annotation of Business Process Models
Advisor: Tonella Paolo
University of Trento
Students who graduated in 2009
Alessandro Valitutti
Computational Production of Affect-Based Verbal Humorous Expressions
Advisor: Strapparava Carlo
University of Trento
Alberto Siena
Engineering Law-Compliant Requirements the Nomos Framework
Advisor: Susi Angelo
University of Trento
Samantha Riccadonna
Predictive Data Mining for Integrative Functional Genomics
Advisor: Furlanello Cesare
University of Trento
Silvano Paoli
A high performance computational environment for UHTS studies
Advisor: Furlanello Cesare
University of Trento
Bruno Lepri
Multimodal Recognition of Social Behaviors and Personality Traits in small group interaction
Advisor: Pianesi Fabio
University of Trento
Krishnamani Kalyanasundaram
An efficient effective and scalable methodology for formal verification
Advisor: Cimatti Alessandro
University of Trento
Syed Arsalan Jawed
CMOS readout interfaces for MEMS capacitive microphones
Advisor: Gottardi Massimo
University of Trento
Mikael Franzén Per Anders
Efficient Solving of the Satisfiability Modulo Bit-Vectors Problem and Some Extensions to SMT
Advisor: Cimatti Alessandro
University of Trento
Marco Ajelli
New–generation individual based models for infectious diseases transmission
Advisor: Merler Stefano
University of Trento
Students who graduated in 2008
Octavian Popescu
Ontological Constraints in a Statistical Framework for Person Cross Document Coreference
Advisor: Magnini Bernardo
University of Trento
Cu Nguyen Duy
Testing Techniques for Software Agents
Advisor: Perini Anna/Tonella Paolo
University of Trento
Bonaventura Coppola
Practical Frame Semantics for Natural Language Systems
Advisor: Magnini Bernardo
University of Trento
Roberto Bruttomesso
RTL verification: from SAT to SMT(BV) application of lazy satisfiability modulo theories techniques to the validation of combinational RTL designs
Advisor: Cimatti Alessandro
University of Trento
2002-2005
Alfio Gliozzo: Research Manager, Knowledge Induction @ IBM Research
Alfio Gliozzo has 16 years of research and development experience in the field of Artificial Intelligence, with strong focus on Natural Language Processing and Semantic Web. He is currently managing the Knowledge Induction department at IBM T.J. Watson Research and teaching Cognitive Computing at Columbia University. He was part of the Deep QA team that developed Jeopardy! system.
2007-2011
Elena Cabrio: Assistant Professor at the University of Nice Sophia Antipolis
Elena is an assistant Professor at the University of Nice Sophia Antipolis. Her research is on Natural Language Processing, Semantic Web, Question Answering, Textual Entailment and Linguistics
2010-2014
Leo Braga: EFFECT Photonics
Dr. Leo Huf Campos Braga worked on his PhD at FBK within IRIS team from October 2010 to April 2014. He got his PhD from University of Trento in April 2014 and joined NXP Semiconductors (Eindhoven, The Netherlands) as principal Scientist in August 2014. In January 2016 he moved to EFFECT Photonics where is now Module Engineering Manager of the team in charge of designing the optical communications module, including mechanics, electronics, firmware and optical sub-assembly.
2006-2010
Daniele Pighin: Research Scientist at Google
Specialties: Supervised learning, kernel methods, statistical machine translation, natural language processing, software architectures for text processing, summarization, information extraction, relation extraction, event learning.
2009-2014
Sergio Mover: Postdoctoral Researcher at University of Colorado Boulder
Research Interests: Formal methods, verification of hybrid systems, verification of infinite-state systems, abstraction refinement techniques, parameter synthesis, satisfiability modulo theories.
2008-2011
Yashar Mehdad: Research Manager at Yahoo
Research scientist, data scientist, research project manager and software engineer with more than 10 years experience in a variety of machine learning, ranking, personalization, text mining and natural language processing applications, including information extraction, summarization, topic labeling, text understanding, machine translation and semantics, in monolingual and cross-lingual environments. Interested primarily in bringing various creative ideas to real world applications.
2008-2012
Heorhi Raik: Sofware Engineer at Facebook (London)
Research scientist in the areas of service-oriented computing and artificial intelligence. His research interests include service composition, dynamic process adaptation, user-centric services, collective adaptive systems, AI planning. Heorhi obtained his Ph.D. in computer science in 2012, with the thesis: Service Composition in Dynamic Environments: From Theory to Practice.
I'm a student of the University of Genova
I come from Italy
keywords: ontologies, foundational ontologies
My research is on Formal ontologies
My advisor is Ghidini Chiara, Di Francescomarino Chiara
Something about me
October 2014 bachelor degree in Philosophy. Thesis "Knowledge Representation and Formal Ontologies". July 2016 master degree in Philosophy "Ontologies, Concepts and Mental Disorders DSM 5 and Schizophrenia"
I'm a student of the University of Trento
I come from India
My research is on Deep Learning for Machine Translation
My advisor is Turchi Marco
You can contact me by email ragrawalfbk.eu
Tahir Ahmad
Security and Trust
I'm a student of the University of Genova
I come from Pakistan
My research is on Security and Trust
My advisor is Ranise Silvio
Something about me
My area of research is IoT security - area of endeavor concerned with safeguarding connected device and networks in the Internet of things (IoT).
You can contact me by email ahmadfbk.eu
Salek Ali Muhammad
Application of blockchain technologies to the Internet of Things
I'm a student of the University of Bologna
I come from Pakistan
My research is on Application of blockchain technologies to the Internet of Things
My advisor is Antonelli Fabio
You can contact me by email ms.alifbk.eu
Mattia Antonini
Embedded machine learning and AI techniques for cognitive IoT devices
I'm a student of the University of Trento
I come from Italy
My research is on Embedded machine learning and AI techniques for cognitive IoT devices
My advisor is Antonelli Fabio
You can contact me by email m.antoninifbk.eu
Pietro Astolfi
Computational Methods for Brain Connectivity Analysis
I'm a student of the University of Trento
I come from Italy
My research is on Computational Methods for Brain Connectivity Analysis
My advisor is Avesani Paolo
You can contact me by email pastolfifbk.eu
Duygu Ataman
Flexible machine translation
I'm a student of the University of Trento
I come from Turkey
My research is on Flexible machine translation
My advisor is Turchi Marco Negri Matteo
You can contact me by email atamanfbk.eu
Martina Azzolini
Monte Carlo simulations of electron transport and mechanical phenomena in graphene and related 2d materials and composites
I'm a student of the University of Trento
I come from Italy
My research is on Monte Carlo simulations of electron transport and mechanical phenomena in graphene and related 2d materials and composites
My advisor is Dapor Maurizio
Flexible Dialogue Models for Conversational Agents and ChatBots
I'm a student of the University of Trento
I come from India
My research is on Flexible Dialogue Models for Conversational Agents and ChatBots
My advisor is Magnini Bernardo
Rasoul Behravesh
Control and data resiliency in 5G network and beyond
I'm a student of the University of Bologna
I come from Iran
My research is on Control and data resiliency in 5G network and beyond
My advisor is Salvadori Elio
You can contact me by email rbehraveshfbk.eu
Elena Beretta
Data Ethics
I'm a student of the Politecnico of Torino
I come from Italy
My research is on Data Ethics
My advisor is Lepri Bruno
Giulia Bertò
Machine Learning for Neuroscience
I'm a student of the University of Trento
I come from Italy
My research is on Machine Learning for Neuroscience
My advisor is Avesani Paolo
Something about me
My PhD project aims to propose new methods to virtually segment white matter tracts of interest in the human brain. We apply machine learning techniques to diffusion MRI data in order to obtain automatic segmentations from examples. My research interests include brain connectivity, neural networks, neuroimage analysis and signal processing.
You can contact me by email gbertofbk.eu
Matteo Biagiola
Software Engineering
I'm a student of the University of Genova
I come from Italy
My research is on Software Engineering
My advisor is Tonella Paolo
Something about me
My interest in computer science was born attending classes in the university. From the beginning I wanted to explore many aspects of this topic, motivated by willing classmates and professors. During several university projects I explored in particular embedded systems enhanced with distributed artificial intelligence techniques. Recently I became curious about the development of web and mobile applications and I decided to start a phd in web application testing. I like the exciting, dynamic and challenging environment offered by research, which lets me find out and learn something new every day. I am open to meeting new people with my same passion and thirst for knowledge; I like teamwork, collaboration and sharing of ideas and time.
You can contact me by email biagiolafbk.eu
Paolo Bosetti
Biologia Matematica e Computazionale
I'm a student of the University of Trento
I come from Italy
My research is on Biologia Matematica e Computazionale
My advisor is Lepri Bruno
You can contact me by email pbosettifbk.eu
Hana Bredikovà
International Politics and Conflict Resolution
I'm a student of the University of Trento
I come from Slovak Republic
My research is on International Politics and Conflict Resolution
My advisor is Andreatta Filippo
Deep learning for behavioral data in reproducible autism research
I'm a student of the University of Trento
I come from Italy
My research is on Deep learning for behavioral data in reproducible autism research
My advisor is Furlanello Cesare
You can contact me by email gcalabrofbk.eu
Andrea Capuano
Microfluidic devices for microanalysis
I'm a student of the University of Trento
I come from Italy
My research is on Microfluidic devices for microanalysis
My advisor is Lorenzelli Leandro Adami Andrea
Diamond-based architectures for nanosystems and devices
I'm a student of the University of Roma Tor Vergata
I come from Italy
My research is on Diamond-based architectures for nanosystems and devices
My advisor is Pepponi Giancarlo
You can contact me by email carcionefbk.eu
Ilaria Cataldo
The relationships between genes, psychological traits, and behaviors
I'm a student of the University of Trento
I come from Italy
My research is on The relationships between genes, psychological traits, and behaviors
My advisor is Lepri Bruno
Something about me
I am attending the 1st year of PhD in Psychological Sciences and Education in a joint collaboration between FBK and Department of Psychology and Cognitive Science. I graduated in Neuroscience after a two-months internship at the Neurobiology and Behavior Laboratory of Nagasaki University. My current project is about the relationships between genes, psychological traits, and behaviors using smartphones and social media sites as assessment tools.
You can contact me by email cataldofbk.eu
Simone Centellegher
Designing incentive models for citizen cooperation in smart communities
I'm a student of the University of Trento
I come from Italy
My research is on Designing incentive models for citizen cooperation in smart communities
My advisor is Pistore Marco
Energy efficient wearable computing for the Internet of Things
I'm a student of the University of Bologna
I come from Italy
My research is on Energy efficient wearable computing for the Internet of Things
My advisor is Farella Elisabetta
Rajen Chatterjee
Automatic Post-Editing for Machine Translation
I'm a student of the University of Trento
I come from India
keywords: Machine Translation, Automatic Post editing, Natural language Processing, Human Language Technology, Machine Learning
My research is on Automatic Post-Editing for Machine Translation
My advisor is Negri Matteo, Turchi Marco
Here is an abstract of my research:
Automatic Post-Editing (APE) aims at automatic correction of machine translation (MT) errors, as it is one of the major challenges posed by the evolution of translation industry. The goal is to advance the state-of-the-art in APE and set the conditions for fair, informative and comparable evaluations (with APE-specific metrics and shared reusable benchmarks). Particular emphasis will be placed on creating flexible systems, which are portable across language pairs and domains, and are capable to model and customize to users' style and needs
I'm a student of the University of Trento
I come from Italy
My research is on Security Monitoring for Cyber Physical Systems
My advisor is Armando Alessandro
You can contact me by email acolettafbk.eu
Jacek Dabrowski
Investigation of techniques to improve requirements and architectural decisions during the development and evolution of complex software systems
I come from Poland
keywords: Software engineering, requirement engineering, decision support system, machine learning
My research is on Investigation of techniques to improve requirements and architectural decisions during the development and evolution of complex software systems
My advisor is Perini Anna
You can contact me by email dabrowskifbk.eu
Alessandro Daniele
Deep Learning for complex data trajectories
I'm a student of the University of Firenze
I come from Italy
My research is on Deep Learning for complex data trajectories
My advisor is Serafini Luciano
You can contact me by email danielefbk.eu
Salimeh Dashti
Data Protection
I'm a student of the University of Genova
I come from Iran
My research is on Data Protection
My advisor is Ranise Silvio
You can contact me by email sdashtifbk.eu
Federica De Luca
Diritto delle Relazioni industriali e di lavoro - PhD in Labour Productivity and Workplace Change”
I'm a student of the University of Bergamo and Adapt
I come from Italy
My research is on Diritto delle Relazioni industriali e di lavoro - PhD in Labour Productivity and Workplace Change”
My advisor is Curzel Monica
You can contact me by email fdelucafbk.eu
Marco De Nadai
Investigating the relationships between spatial structures and urban characteristics
I'm a student of the University of Trento
I come from Italy
My research is on Investigating the relationships between spatial structures and urban characteristics
My advisor is Lepri Bruno
Design for Adaptation of Distributed Service-Based Systems
I'm a student of the University of Trento
I come from Italy
keywords: Design for Adaptation, Runtime Adaptation, Distributed Adaptive Systems, Incremental Service Composition, Collective Adaptive Systems
My research is on Design for Adaptation of Distributed Service-Based Systems
My advisor is Pistore Marco
Here is an abstract of my research:
Internet of Services applications need to cope with a continuously changing environment, both in terms of the context in which they operate, and of the services, users and providers involved. In this setting, adaptivity is to be considered an intrinsic characteristic of applications rather than an exception to be handled. We propose a design for adaptation approach that fully exploits the advantages of the service-oriented paradigm to support the development and operation of service-based applications operating in highly dynamic environments. The approach is based on dynamic and incremental service composition and re-configuration techniques and it will be evaluated on a real-world scenario in the Smart Cities domain.
Automatic Generation of Security Test Cases for Inter-Component Communication Vulnerabilities
I'm a student of the University of Trento
I come from Ethiopia
keywords: Software Engineering, security testing, android apps, software analysis, static analysis
My research is on Automatic Generation of Security Test Cases for Inter-Component Communication Vulnerabilities
My advisor is Ceccato Mariano
Here is an abstract of my research:
Software systems are composed of multiple components. Components hold special privileges to perform different tasks. Controlled access to system resources is achieved through permission based security model. In order to gain privileges, a malicious component usually has to abuse a privileged component. This phenomenon is commonly known as the confused deputy attack. Confused deputy attack occurs when a privileged component performs an activity that needs special permission on behalf of other component that does not have the required permission. Static analysis is often used to detect existence of this vulnerability. However, reports of static analysis are vulnerability points rather than conditions that cause the vulnerability. Therefore, a developer that wishes to fix this vulnerability has to manually analyze the code in order to understand the conditions that cause the vulnerability. Similar to other permission based systems, the Android system also suffers from the confused deputy attack called permission redelegation. In our work, we investigate different approaches on how to automatically generate test cases that reveal permission redelegation vulnerabilities in Android apps. Test cases help developers easily trace, identify and fix the vulnerabilities. The test cases are also used to verify if the applied fix has resolved the vulnerability or not.
Deep learning for human-in-the-loop advanced machine translation
I'm a student of the University of Trento
I come from Italy
My research is on Deep learning for human-in-the-loop advanced machine translation
My advisor is Federico Marcello
You can contact me by email mattiadigangigmail.com
Damu Ding
Robustness and security in SDN/NFV environments
I'm a student of the University of Bologna
I come from China
My research is on Robustness and security in SDN/NFV environments
My advisor is Siracusa Domenico
Domenica Dininno
Il Circo Massimo nell’assetto urbanistico della Regio XI: ricostruzione diacronica e analisi topografica con l’applicazione delle tecnologie ICT
I'm a student of the University of Firenze
I come from Italy
My research is on Il Circo Massimo nell’assetto urbanistico della Regio XI: ricostruzione diacronica e analisi topografica con l’applicazione delle tecnologie ICT
My advisor is Remondino Fabio
Elena Donini
Sub-surface modelling and understanding by information extraction from radar sounder data
I'm a student of the University of Trento
I come from Ethiopia
My research is on Sub-surface modelling and understanding by information extraction from radar sounder data
My advisor is Bovolo Francesca
You can contact me by email edoninifbk.eu
Roberto Doriguzzi Corin
Methods and Techniques for Dynamic deployability of SDN/NFV systems
I'm a student of the University of Bologna
I come from Italy
My research is on Methods and Techniques for Dynamic deployability of SDN/NFV systems
My advisor is Siracusa Domenico
Something about me
Roberto Doriguzzi Corin is a Senior Researcher at FBK. He received his degree in Mathematics in 1996 from the University of Trento, Italy, with a thesis in calculus of variations. From 1999 to 2008, he was employed in Neuricam in Trento as Head of the software development team on Embedded Systems. From May 2008 to December 2016 he worked as Senior Research Engineer at CREATE-NET, where he was involved in several European SDN-related projects such as OFELIA-FP7, ALIEN-FP7, NetIDE-FP7 and ACINO-H2020. He is currently working as a senior researcher at FBK and pursuing a Ph.D program in Telecommunication Engineering. His main research interests focus on network virtualisation, software defined networking (SDN), Linux embedded systems and network security. He has authored a number of publications on OpenFlow and SDN technologies as well as on network virtualisation
You can contact me by email rdoriguzzifbk.eu
Shahi Dost
Machine Learning and Logical Reasoning for multimedia event detection
I'm a student of the University of Padova
I come from Pakistan
My research is on Machine Learning and Logical Reasoning for multimedia event detection
My advisor is Serafini Luciano
Raphael Durante
Arguing Religion in Europe
I'm a student of the University of Luxembourg
I come from France
My research is on Arguing Religion in Europe
My advisor is Ventura Marco
Something about me
My research is on Political sciences, Comparative politics and Religious studies
You can contact me by email durante.raphaelhotmail.fr
Mattia Duranti
Modelling and engineering of energy storage systems to balance variable and intermittent energy sources
I'm a student of the University of Trento
I come from Italy
My research is on Modelling and engineering of energy storage systems to balance variable and intermittent energy sources
My advisor is Crema Luigi
Something about me
I joint FBK as a PhD student to pursue my interests in electrochemical energy conversion, solar fuel production and storage, and more generally exploitation of solar energy. My academic route maintains a strong link to the world of industry and engineering applications, with the aim of facilitating and encouraging the knowledge transfer between university and enterprises. In the ARES unit, I am currently working on the development of a Redox Flow Battery (RFB) based on the use of organic compounds.
You can contact me by email durantifbk.eu
Mohammad Amin Farajian
Machine translation for CAT
I'm a student of the University of Trento
I come from Iran
keywords: human language technology, natural language processing, statistical machine translation, word alignment
My research is on Machine translation for CAT
My advisor is Federico Marcello
Here is an abstract of my research:
I am currently working on online word alignment models for adaptive machine translation systems. The main challenges in our work are: speed (both for training and test), accuracy of the alignments, and handling the new and infrequent words for which there is no reliable information in the system. We are also trying to apply our word alignment models on the domain adaptation of SMTs where the systems are trained on large general out of domain corpora and then have to be adapted to another domain with relatively very small training data.
I'm a student of the University of Padova
I come from Italy
My advisor is Mich Ornella
Francescomaria Faticanti
Strategic allocation of resources in highly distributed and heterogeneous computing and information systems under concurrency and multitenancy
I'm a student of the University of Trento
I come from Italy
My research is on Strategic allocation of resources in highly distributed and heterogeneous computing and information systems under concurrency and multitenancy
My advisor is De Pellegrini Francesco
You can contact me by email ffaticantifbk.eu
Anna Feltracco
Linguistica Computazionale
I'm a student of the University of Pavia
I come from Italy
keywords: Lexical Studies, Natural language Processing, Human Language Technology
My research is on Linguistica Computazionale
My advisor is Magnini Bernardo
Here is an abstract of my research:
My research is mainly focused on the study of opposition relations at lexical level as a source of contradiction at textual level. Detecting oppositions, both among words and among portions of text, is a fundamental requirement for text analysis. Indeed, textual opposition plays a crucial role in applications such as machine translation, discourse understanding, and information retrieval. In the first year, I have mainly focused the research on the study of opposition relation among verbs. I have studied opposition relation taking in consideration that i) opposition relation is among senses of verbs, and ii) there exist different types of opposition relation with different characteristics. The future steps of my research project aims at studying cases in which an opposition relation between two verbs lead to a contradiction among pairs of sentences. The study of contradiction also requires the analysis of the conditions in which this relation occurs, both at sentence and at text level. In fact, the presence of a lexical opposition alone is not a sufficient condition for contradiction to exist: the opposite items need to be referred to the same entity/event. Consequently, for a complete study on contradiction, also co-reference need to be study from both a theoretical /linguistic and a computational point of view.
Sviluppo di fotorivelatori di singolo fotone al silicio con integrazione di nanostrutture plasmoniche
I'm a student of the University of Padova
I come from Italy
My research is on Sviluppo di fotorivelatori di singolo fotone al silicio con integrazione di nanostrutture plasmoniche
My advisor is Paternoster Giovanni
You can contact me by email anfilippifbk.eu
Francesco Maria Follega
I'm a student of the Univeristy of Trento
I come from Italy
My advisor is Perenzoni Matteo
You can contact me by email f.follegafbk.eu
Silvia Fornasini
Social inclusion and peer support in ICT for physical-mental wellbeing
I'm a student of the Univeristy of Trento
I come from Italy
My research is on Social inclusion and peer support in ICT for physical-mental wellbeing
My advisor is Piras Enrico Maria
You can contact me by email s.fornasinifbk.eu
Gabriele Franch
I'm a student of the Univesity of Trento
I come from Italy
My advisor is Furlanello Cesare
Silvio Fugattini
Tecniche avanzate per la realizzazione o la caratterizzazione di dispositivi a semiconduttore
I'm a student of the University of Ferrara
I come from Italy
My research is on Tecniche avanzate per la realizzazione o la caratterizzazione di dispositivi a semiconduttore
My advisor is Giubertoni Damiano
You can contact me by email silvio.fugattiniunife.it
Andrea Gaiardo
Tecnologie abilitanti di microlavorazione del silicio per la sensoristica di gas
I'm a student of the University of Ferrara
I come from Italy
My research is on Tecnologie abilitanti di microlavorazione del silicio per la sensoristica di gas
My advisor is Bellutti Pierluigi
You can contact me by email gaiardofbk.eu
Lorenzo Gatti
Natural language processing and production of persuasive messages
I'm a student of the University of Trento
I come from Italy
keywords: Persuasive Technologies, Natural Language Generation, Persuasive Language
My research is on Natural language processing and production of persuasive messages
My advisor is Stock Oliviero
Here is an abstract of my research:
Influencing people's attitudes and behavior is an important feature for intelligent communication systems. However, few systems tackled this problem in the field of Natural Language Generation, and mostly with an approach based on argumentation. Very few have dealt with the so called peripheral route, which relies instead on evocative and attention grabbing expressions. In particular, their resulting text is often deemed uncreative and repetitive by users. The goal of my research is to define a simple persuasion framework, and to use it for the development of a complex system that starts from a human-produced short text and modifies it to be more persuasive, avoiding the pitfalls of traditional NLG. To experiment with this concept in applied domains I also plan to develop prototypes for specific persuasive applications
Design and microfabrication of multifunctional bio-inspires surfaces
I'm a student of the University of Trento
I come from Italy
My research is on Design and microfabrication of multifunctional bio-inspires surfaces
My advisor is Boscardin Maurizio
You can contact me by email sghiofbk.eu
Davide Giovanelli
Energy Efficient Embedded Digital Architectures
I'm a student of the University of Bologna
I come from Italy
keywords: Wearable, energy efficiency, embedded systems, smart sensors, sport and rehabilitation, wireless protocols
My research is on Energy Efficient Embedded Digital Architectures
My advisor is Farella Elisabetta
Here is an abstract of my research:
Wireless embedded systems are shaping a new era of smart everything everywhere. New devices are entering in our daily lives contributing to novel scenarios where their co-existence opens opportunities for users' quality of life. Still old and novel challenges lies ahead. Wearables for Health and professional sport encounters the trade-off between energy efficiency, form factor at one side and the QoS and the human factors at the other. Moreover, their massive distribution pose challenges on their scalability, co-existence and cooperation. In this research, these challenges will be considered under the energy efficiency umbrella.
Nanostrutturazione di film sottili di semiconduttori
I'm a student of the Univeristy of Ferrara
I come from Italy
My research is on Nanostrutturazione di film sottili di semiconduttori
My advisor is Bellutti Pierluigi
You can contact me by email giubertofbk.eu
Pawel Gomoluch
Decentralized Adataption with Partial and Distributed Knowledge
I'm a student of the Imperial College
I come from Poland
keywords: machine learning, multi-agent systems, inductive logic programming, collective adaptive systems
My research is on Decentralized Adataption with Partial and Distributed Knowledge
My advisor is Marconi Annapaola
Here is an abstract of my research:
The aim of the thesis is a general and scalable distributed machine learning algorithm and its application in multi-agent systems to increase their ability of collective adaptation in dynamic environments.
Segmentazione e semantica in nuvole di punti architettoniche
I'm a student of the University of Bologna
I come from Italy
My research is on Segmentazione e semantica in nuvole di punti architettoniche
My advisor is Remondino Fabio
Something about me
Undergraduate institution: Alma Mater Studiorum di Bologna – Facoltà di Ingegneria dei Sistemi Edilizi e Urbani – Ravenna Research fields: Automatic segmentation of Point Cloud to facilitate the BIM approach. Working in 3DOM research unit, FBK Trento, Italy.
You can contact me by email grillifbk.eu
Didem Gundogdu
Modeling Human Social Dynamics
I'm a student of the University of Trento
I come from Turkey
My research is on Modeling Human Social Dynamics
My advisor is Lepri Bruno
I'm a student of the University of Trento
I come from India
keywords: Remote Sensing, Airborne Laser Scanner, LiDAR, Tree Species detection, Biophysical parameter estimation, modelling
My research is on Remote sensing for environmental monitoring
My advisor is Bovolo Francesca
Here is an abstract of my research:
Forests are an extremely important natural resource that need to be preserved for obvious environmental and economic reasons. An efficient forest management is essential for effective forest preservation. However such management demands an accurate inventory of biophysical parameters, such as the tree/crown height, the crown width, the biomass, which are costly to estimate by conducting on-site visits. In addition, the tree species information is also very essential for improving the accuracy of estimation. With the advancements in the airborne Light Detection and Ranging (LiDAR) remote sensing technology, it has become possible to capture three dimensional (3D) information of forests at the individual tree level in a much reliable and economical way. The high density multi-return airborne LiDAR data can provide a huge amount of spatial details about forest components, and hence can be used for accurately extracting the tree crowns and species information, which can facilitate the ultimate objective of accurate biophysical parameter estimation. Accurate modelling of the internal crown structure of the tree is necessary for extracting species information. Also, the information in the LiDAR data can be better exploited for accurate biophysical parameter estimation, by developing novel methodologies which incorporate the ability of Sparse methods in finding the prominent patterns in the data. Thus, the overall objectives of this proposal are to: 1) develop methods for identifying the species of trees belonging to the same tree-genera using high density airborne LiDAR data, 2) develop novel methods for 3D tree crown delineation in high density multi-return airborne LiDAR data, and 3) develop fully automatic biophysical parameter estimation techniques, by giving special emphasis on exploiting the capabilities of Sparse methods.
I'm a student of the University of Trento
I come from Armenia
My research is on Functional split in 5g networks
My advisor is Riggio Roberto
You can contact me by email d.harutyunyanfbk.eu
Kerry Ellen Hellmuth
Nudging toward Better Health: Application of Behavioral Economics to Health Decisions
I'm a student of the University of Trento
keywords: Behavioral Economics, Health Decision-Making
My research is on Nudging toward Better Health: Application of Behavioral Economics to Health Decisions
My advisor is Mittone Luigi
Here is an abstract of my research:
I am exploring the bases of decision-making through the lens of behavioral economics, particularly in the realm of personal health areas wherein the evidence indicates clearly that individuals often make decisions that are not rational and/or in their own best interest.
Something about me
An attorney from the US, Kerry has returned to study the effects of behavioral economics on individual decision-making regarding health. Her biggest passion is spending time with her children, Gino (12) and Giorgio (10), are you are likely to find her enjoying the Dolomites with them on bicycles or hiking trails.
You can contact me by email kerry.hellmuthunitn.it
Ahmed Irfan
Efficient SMT-based Model Checking of Reactive Systems w
I'm a student of the University of Trento
I come from Pakistan
keywords: array, formal methods, memory, model checking, reactive system,satisfiability, satisfiability modulo theories, software engin
My research is on Efficient SMT-based Model Checking of Reactive Systems w
My advisor is Cimatti Alessandro
Here is an abstract of my research:
Model Checking (MC) is a prominent technique for verifying reactive systems –both hardware and software systems. The presence of memory/array accesses in the systems under test, however, introduces many difficulties in current MC techniques. Although some work has been done to verify such systems by using MC techniques based on Satisfiability Modulo Theories (SMT), there is still a big margin for improving efficiency. The goal of our research is to provide efficient SMT-based MC techniques for verifying reactive systems with memory/array accesses. We focus on adapting Verification Modulo Theories techniques –e.g. bounded model checking, k-induction, counter example guided abstraction refinement– and on improving the underlying SMT tools for handling memory/array.
Something about me
My name is Ahmed Irfan, and I am a PhD student in the ICT School at University of Trento (UniTN) and in the Embedded Systems (ES) group at Fondazione Bruno Kessler (FBK). I am advised by Alessandro Cimatti (ES, FBK) and co-advised by Roberto Sebastiani (DISI, UniTN). My research work is on formal verification of non-linear transition systems, in particular on abstraction techniques based on Satisfiability Modulo Theory (SMT). I also participate in the tool development of MathSAT, nuXmv, and Kratos.
You can contact me by email irfanfbk.eu
Gunel Jahangirova
The Oracle Problem in Software Testing
I come from Azerbaijan
keywords: software engineering, software testing, oracle p
My research is on The Oracle Problem in Software Testing
My advisor is Tonella Paolo
Here is an abstract of my research:
The oracle problem remains one of the key challenges in software testing, for which little automated support has been developed so far. The effectiveness of a test case in revealing software faults depends critically on the quality of the oracle. My research is focused on the automated assessment and improvement of the oracle quality. The techniques proposed combine test case generation to reveal false positives, mutation testing to reveal false negatives and identification of the program points for internal oracle placement, which has the highest fault-finding capability
Socio-Technical and Gamified Systems for managing Health and Wellbeing
I'm a student of the University of Trento
I come from Iraq
keywords: Social Informatics, Health&wellbeing, gamification, persuasive technology, tailored approaches, diet plan
My research is on Socio-Technical and Gamified Systems for managing Health and Wellbeing
My advisor is Villafiorita Monteleone Adolfo
Here is an abstract of my research:
Various health risks are related to unhealthy lifestyles and poor dietary habits. A number of pathologies due to these health risk behaviors represent a serious challenge, resulting in disabling or life-threatening repercussions. People struggle to adhere to dietary requirements, exercise, and lifestyle recommendations. Additionally, decreased motivation results in a probability of negative health implications. This study evaluates existing technologies used to have users adhere to sustained healthy behavior. We investigate persuasive technology and gamification strategies to reinforce users in exercising and healthy food substitution. We intend to develop a model to be used in creating-producing widgets to persuade people change their lifestyle. Subsequently, our model facilitates a sustained diet management plan supported by healthcare experts to intervene in the activity, only when necessary.
Something about me
I am a Ph.D. candidate in the Department of Information Engineering and Computer Science at the University of Trento. By joining the ICT doctoral school program in 2014, I became a research fellow member of ICT4G research unit inside Fondazione Bruno Kessler FBK, Trento - Italy. At the same time, I was partially funded by CRG - Centro Ricerche GPI. I acquired my Master degree in 2014 from the university of Trento, and with a focus on semantic web and NLP. My Master of science in Computer science was titled "A semantic matching via web". Before all these, I earned my Bachelor (with high honours) in Information Technology in 2012 from Eastern Mediterranean University EMU - Cyprus. I earned a scholarship grand offered by the Cypriot government. My research aims to identify the correlation between diet and chronic diseases, and applying multidisciplinary research to promote healthy diet and lifestyle. I am researching motivational techniques, such as gamification and persuasive technologies to engage users in self-monitoring their condition. Additionally, I am also conducting research on AI and applying conversational UIs as a tool in preventive healthcare and quantified-self. My PhD research is specifically focused on diet management, quantified-self and prevention from chronic disease.
I'm a student of the University of Firenze
I come from Pakistan
My research is on Understanding multimedia contents
My advisor is Serafini Luciano
You can contact me by email akhanfbk.eu
Moustafa Ahmed Soliman Khatib
Terahertz Image Sensors in CMOS technologies
I'm a student of the University of Trento
I come from Egypt
My research is on Terahertz Image Sensors in CMOS technologies
My advisor is Perenzoni Matteo
I'm a student of the University of Padova
I come from Iran
keywords: Gamification, Recommender System, User Preferences, Personalization, Challenges
My research is on Brain, mind and computer science
My advisor is Marconi Annapaola
Ricerca e Sviluppo di materiali nanostrutturati per sensori di gas
I'm a student of the University of Ferrara
I come from Morocco
My research is on Ricerca e Sviluppo di materiali nanostrutturati per sensori di gas
My advisor is Bellutti Pierluigi
You can contact me by email skrikfbk.eu
Surafel Melaku Lakew
Deep learning for human-in-the-loop advanced machine translation
I'm a student of the University of Trento
I come from Ethiopia
My research is on Deep learning for human-in-the-loop advanced machine translation
My advisor is Federico Marcello
You can contact me by email lakewfbk.eu
Mohamed Ilyes Lakhal
Deep learning for mobile camera networks
I'm a student of the Queen Mary University
I come from Algerie
My research is on Deep learning for mobile camera networks
My advisor is Lanz Oswal
Something about me
I obtained my Bachelor degree in computer engineering (2010-2015) and the Master degree in computer science (2014-2015) from École nationale supérieure d'informatique, Algeria. After graduation, I spent a year collaborating with MLCV and HuPBA during which I worked on image classification, and action recognition using deep learning
I'm a student of the University of Trento
I come from Italy
My research is on Predictive Models for developmental trajectories
My advisor is Furlanello Cesare
You can contact me by email landifbk.eu
Ivano Lauriola
Knowledge extraction from scientific publications in the life science domain exploiting existing knowledge repositories
I'm a student of the University of Padova
I come from Italy
My research is on Knowledge extraction from scientific publications in the life science domain exploiting existing knowledge repositories
My advisor is Lavelli Alberto
You can contact me by email ilauriolafbk.eu
Matteo Lorenzini
I come from Italy
My advisor is Tonelli Sara
Enrica Loria
Gamification for Smart Cities and Communities
I'm a student of the University of Trento
I come from Italy
My research is on Gamification for Smart Cities and Communities
My advisor is Marconi Annapaola
Samuel Louvan
Cross-Language Semantic Parsing
I'm a student of the University of Trento
I come from Belgium
My research is on Cross-Language Semantic Parsing
My advisor is Magnini Bernardo
You can contact me by email slouvanfbk.eu
Lorenzo Lucchini
Modeling opinion, culture and knowledge dynamics using big data.
I'm a student of the University of Trento
I come from Italy
My research is on Modeling opinion, culture and knowledge dynamics using big data.
My advisor is Lepri Bruno
Something about me
A theoretical physicist from the University of Milano-Bicocca with a background in statistical mechanics and complex systems dynamics. Currently he is working with the Mobile-and-Social-computing lab (MobS group) at FBK and towards a PhD at the University of Trento, Italy.
You can contact me by email llucchinifbk.eu
Babak Mafakheri
Centralized vs distributed Self-Organizing Network features in 5G Small Cell networks
I'm a student of the University of Trento
I come from Iran
My research is on Centralized vs distributed Self-Organizing Network features in 5G Small Cell networks
My advisor is Leonardo Goratti
Something about me
WHO? I am PhD student of University of Bologna, Department of Electronics and Information(DEI). My academic supervisor is Prof. Roberto Verdone. However, I have been doing my whole PhD program at FBK/CREATE-NET research center in Povo, Trento Under supervision of Dr. Leonardo goratti.WHAT? The title of my PhD is “Centralized versus distributed Self-Organizing features in 5G small cell networks”. Currently, I have been working on one of the next generations of cellular networks, LTE-LAA, and its co-existence possibilities with WIFI.WHY? The deployment of modern mobile systems has faced severe challenges due to the dramatically increase of users. The situation could be even worse by development of different wireless technologies in the same frequency band. Moreover, the usage of smaller cells (e.g. Micro, femto and wireless LAN), coexistence among heterogeneous networks (such as LTE and Wi-Fi deployed in the same frequency band) has been a big field of research in the academy and industry.
You can contact me by email b.mafakherifbk.eu
Massimiliano Mancini
Local Deep Learning techniques for Scene Understanding
I'm a student of the Sapienza University
I come from Italy
keywords: Deep Learning, Scene Understanding, Robot Vision
My research is on Local Deep Learning techniques for Scene Understanding
My advisor is Ricci Elisa e Caputo Barbara
Here is an abstract of my research:
Convolutional Neural Networks (CNN) have shown to be very effective for addressing many computer vision tasks being the current state-of-the-art in object and scene recognition and semantic segmentation. In addition, their layers are able to create abstract images representation very effective as features, beating standard handcrafted approaches. However, there is still evidence that CNNs are not strong enough to tackle local variations and their training algorithms are not able to generalize enough to correctly address problems such as domain shift. My PhD goal is to exploit the CNNs power, together with the combination of local features, to clearly leverage the information coming from each part of the image, addressing tasks such as Scene Recognition and Understanding. The main idea is that not focusing on a single image representation helps building classifiers with enhanced generalization capabilities and increased power.
Something about me
I come from Monte Santa Maria Tiberina, a small village between Umbria and Tuscany. I received my Bachelor degree in Computer and Electronic Engineering from University of Perugia in 2014, continuing my studies at University of Rome "La Sapienza", where I received my Master degree in Artificial Intelligence and Robotics in 2016.
Development of cryogenic Silicon Photomultipliers for Dark Matter search
I'm a student of the University of Trento
I come from Italy
My research is on Development of cryogenic Silicon Photomultipliers for Dark Matter search
My advisor is Gola Alberto
Here is an abstract of my research:
Caratterizzazione di rivelatori di tipo silicon photomultiplier (SiPM) nei laboratori del gruppo IRIS di FBK, con particolare attenzione alla loro applicazione nell'esperimento Dark Side. Le specifiche d'interesse riguardano tutte le caratteristiche di rumore del SiPM, l'efficienza di rivelazione della luce (PDE) e le loro variazioni alle temperature criogeniche previste dall'esperimento
You can contact me by email marcantefbk.eu
Francesca Marchetti
Application of graphene to nanofluids synthesis for solar thermal applications
I'm a student of the University of Trento
I come from Italy
My research is on Application of graphene to nanofluids synthesis for solar thermal applications
My advisor is Bensaada Nadhira
You can contact me by email fmarchettifbk.eu
Antonio Marsico
Intent-based networking and service negotiation
I'm a student of the University of Trento
I come from Italy
My research is on Intent-based networking and service negotiation
My advisor is Siracusa Domenico
You can contact me by email amarsicofbk.eu
Damiano Martorelli
Development of multi-techniques systems and methodologies for material characterization in the fields of material science, cultural heritage and environmental control
I'm a student of the University of Trento
I come from Italy
My research is on Development of multi-techniques systems and methodologies for material characterization in the fields of material science, cultural heritage and environmental control
My advisor is Pepponi Giancarlo
You can contact me by email martorellifbk.eu
Antonio Massaro
A study in game theory on resources allocation in distributed information and computing systems
I'm a student of the University of Trento
I come from Italy
My research is on A study in game theory on resources allocation in distributed information and computing systems
My advisor is De Pellegrini Francesco
You can contact me by email amassarofbk.eu
Eleonora Mencarini
Haptic Feedback for Learning Sports
I'm a student of the University of Trento
I come from Italy
keywords: User-centered Design, Haptic Feedback, Sport Climbing
My research is on Haptic Feedback for Learning Sports
My advisor is Zancanaro Massimo
Here is an abstract of my research:
In my PhD project, I investigate the use of haptic feedback for learning sports. I consider climbing as case study, an extreme sport that requires both a high level of self-confidence and control over motor skills. By adopting research methods and practices of Interaction Design (such as Contextual Inquiry, Participatory Design, etc.), I aim at designing a valid device for the community of climbers and, at a broader level, to identify the communicative abilities of haptic feedback.
Something about me
I graduated in Communication Science in 2011 from the University of Siena (Italy) and before starting my PhD I worked as Interaction Designer in the research unit i3 of FBK
Diachronic and Synchronic Comparisons of Points of View
I'm a student of the University of Trento
I come from Italy
keywords: Digital Humanities, Quantitative History, Natural Language Processing
My research is on Diachronic and Synchronic Comparisons of Points of View
My advisor is Tonelli Sara
Here is an abstract of my research:
To deal with the large amount of political documents available we need to integrate traditional humanistic approaches with computational ones. Political documents present a multitude of interconnected points of view and opinions. We focus on the automatic evaluation of ideological positions, detecting divergences and similarities between authors.
Application of novel position-sensitive Silicon PhotoMultipliers to medical imaging
I'm a student of the University of Trento
I come from Italy
keywords: SiPM, position-sensitive, medical imaging
My research is on Application of novel position-sensitive Silicon PhotoMultipliers to medical imaging
My advisor is Gola Alberto
Here is an abstract of my research:
The Silicon Photo-multiplier (SiPM) is replacing the photomultiplier tube in several applications because of its solid-state nature, its better performance and customization level. Different position-sensitive SiPM (PS-SiPM) architectures have been proposed during the past few years. They allow the position of the light impinging on the SiPM active area to be identified using a limited number of readout channels, with an ultimate precision in the order of tens of microns and a sensitivity down to the single photon. The most important applications of PS-SiPMs are currently in the field of medical imaging, in which a scintillator is used for the detection of gamma-ray or X-ray photons. The PS-SiPM is used for the readout of the pixelated or monolithic scintillator with 2-dimensional position sensitivity and very good timing resolution. In this context, FBK has recently developed a new type of PS-SiPM, called Lineraly-Graded SiPM (LG-SiPM), showing beyond stateof-the-art performance during preliminary measurements. The PhD activity will focus on the research and development optimization of this technology, aiming at improving its performance and at extending its potential applications, within the current research programs of TIFPA and FBK.
You can contact me by email smerzifbk.eu
Tommaso Morresi
Numerical simulations on the mechanics of nanocomposites based on graphene or other 2D materials
I'm a student of the University of Trento
I come from Italy
My research is on Numerical simulations on the mechanics of nanocomposites based on graphene or other 2D materials
My advisor is Taioli Simone
I'm a student of the University of Trento
I come from German
keywords: Natural Language Processing, Machine Learning, User Profiling, Deep Learning
My research is on Joint Attribute Extraction and Profile Alignment
My advisor is Giuliano Claudio
Here is an abstract of my research:
Public user profiles are valuable source of data for a variety of promotional and marketing activities run by companies and governments. I aim to design a deep learning-based solution that can gather and infer user attributes by efficiently utilising all available user-related information from multiple social media accounts of the same person.
You can contact me by email nechaevfbk.eu
David Novel
Tensile tests and traction of graphene and related 2d materials and composites
I'm a student of the University of Trento
I come from Italy
My research is on Tensile tests and traction of graphene and related 2d materials and composites
My advisor is Speranza Giorgio
You can contact me by email novelfbk.eu
Andrea Pedrielli
Numerical simulations on energy storage and deformation of "3D" graphene and related materials
I'm a student of the University of Trento
I come from Italy
My research is on Numerical simulations on energy storage and deformation of "3D" graphene and related materials
My advisor is Garberoglio Giovanni
I'm a student of the University of Ferrara
I come from Italy
My research is on Sensori di immagine multispettrali
My advisor is Bellutti Pierluigi
You can contact me by email perenzonifbk.eu
Giulio Petrucci
Information Extraction for Learning Expressive Ontologies
I'm a student of the University of Trento
I come from Italy
keywords: Information Extraction, Ontology Learning, Natural Language Processing, Deep Learning
My research is on Information Extraction for Learning Expressive Ontologies
My advisor is Rospocher Marco, Ghidini Chiara
Here is an abstract of my research:
Ontologies are used to represent knowledge in a formal and unambiguous way, facilitating its reuse and sharing among people and computer systems. A large amount of knowledge is traditionally available in unstructured text sources and manually encoding their content into a formal representation is costly and time-consuming. Several methods have been proposed to support ontology engineers in the ontology building process, but they mostly turned out to be inadequate for building rich and expressive ontologies. In my research activities, I exploit the recent advances in Neural Networks research tailoring them to fit the ontology learning problem.
Security and privacy preservation in IoT discovery, authentication and access control through blockchain technologies
I'm a student of the University of Trento
I come from Chile
My research is on Security and privacy preservation in IoT discovery, authentication and access control through blockchain technologies
My advisor is Antonelli Fabio
You can contact me by email mpincheiracarofbk.eu
Davide Pirrone
Change detection methodologies for multi-temporal SAR images
I'm a student of the University of Trento
I come from Italy
keywords: Remote Sensing, Synthetic Aperture Radar (SAR), Change Detection, Multi-temporal image analysis, Image Processing
My research is on Change detection methodologies for multi-temporal SAR images
My advisor is Bovolo Francesca
Here is an abstract of my research:
In the remote sensing, modern Synthetic Aperture Radar (SAR) systems have capabilities of acquiring data raising spatial resolution to sub-meter level and/or controlling the wave polarization of both transmitted and received waves. These represent a powerful tool for the multi-temporal analysis of changes in natural and urban areas. If we consider urban areas, SAR image potential in the analysis of small changes (i.e., smaller than the building size) is not fully exploited yet. These changes are associated to specific patterns of amplitude backscattering variation, if we consider same polarization for the incident and the scattered wave; or other parameter, if we consider data with multiple polarization. Thus, my research activity aims at developing backscattering models for changes affecting parts of the buildings (i.e., the roof or one of the façades) It also aims at designing novel advanced methodologies for the detection of changes in multi-temporal SAR images, which exploits the information from the higher level of detail and the different combinations of wave polarization.
Exploiting Ultra-low Power Wake-up Radios to enable Low Energy Internet of Things (LE-IoT)
I'm a student of the University of Trento
I come from Fiji-Viti
keywords: wake-up radios, energy-efficiency, duty-cycling, LE-IoT, selective awakening, radio-on-demand
My research is on Exploiting Ultra-low Power Wake-up Radios to enable Low Energy Internet of Things (LE-IoT)
My advisor is Murphy Amy Lynn
Here is an abstract of my research:
Duty cycling Medium Access Control (MAC) protocols have been extensively applied in wireless sensor networks to reduce energy consumption by periodically putting the main radio into sleep mode. However, these protocols suffer from overhearing and idle listening causing considerable energy waste. This energy wastage can be greatly reduced by using a secondary ultra-low power wake-up radio to completely switch off the main radio and only wake it up when there is communication. To date, most effort has been devoted to the hardware level, but no consideration has been dedicated to the design of communication protocols based on wake-up radios. To exploit the full potential of wake-up radios, cross-layer integration at the higher level is required. My research work focuses on the design of novel wake-up radio MAC and Routing protocols with evaluation using test-beds and real-life deployments.
Something about me
Currently, I am working with some of the great minds in the area of Wireless Sensor Networks in Dynamic Distributed Decentralized Systems (D3S) group, a cross-institutional research group of University of Trento and Bruno Kessler Foundation. My research involves design and optimization of novel cross-layer MAC and Routing protocols for Ultra Low-Power Wake-up Radios to enable Low Energy Internet of Things (LE-IoT).
Artificial Intelligence and Machine Learning for modern applications/Intelligenza Artificiale e Machine Learning per Applicazioni Moderne
I'm a student of the University of Brescia
I come from Italy
My research is on Artificial Intelligence and Machine Learning for modern applications/Intelligenza Artificiale e Machine Learning per Applicazioni Moderne
My advisor is Lavelli Alberto
Xinyuan Qian
Queen Mary University of London
I'm a student of the Queen Mary University of London
I come from China
My research is on Queen Mary University of London
My advisor is Omologo Maurizio
You can contact me by email qianfbk.eu
Md Masoom Rabbani
Brain, Mind and Computer Science
I'm a student of the University of Padova
I come from India
My research is on Brain, Mind and Computer Science
My advisor is Ranise Silvio
You can contact me by email rabbanimath.unipd.it
Vandana Rajan
Electronic Engineering and Computer Science
I'm a student of the Queen Mary University of London
I come from India
My research is on Electronic Engineering and Computer Science
My advisor is Brutti Alessio
You can contact me by email vrajanfbk.eu
Scott Nicholas Romaniuk
International Politics and Conflict Resolution
I'm a student of the University of Trento
I come from Canada
My research is on International Politics and Conflict Resolution
My advisor is Andreatta Filippo
Attività di ricerca nell'area della Visione Artificiale
I'm a student of the University of Siena
I come from Italy
My research is on Attività di ricerca nell'area della Visione Artificiale
My advisor is Lanz Oswald
Subhankar Roy
Deep learning for image and video analysis
I'm a student of the University of Trento
I come from India
My research is on Deep learning for image and video analysis
My advisor is Ricci Elisa
You can contact me by email sroyfbk.eu
Manuele Rusci
Energy Efficient Heterogeneous Computing for smart wearable
I'm a student of the University of Bologna
I come from Italy
keywords: IoT, energy efficiency, embedded systems, always-on sensing. Heterogenous architectures
My research is on Energy Efficient Heterogeneous Computing for smart wearable
My advisor is Farella Elisabetta
Here is an abstract of my research:
Heterogeneous computing is the dominant megatrend in highperformance and mobile computing architecture. It is the second revolution, after the transition from single to multi-core, caused by the requirement for exponentially increasing energy efficiency, which cannot be met simply by technology scaling. The doctoral project will look into heterogeneous computing opportunities for ultra-low power platforms, such as those used for Internet of Things (IoT) applications. The defining characteristic of these applications is that they must fit in a power envelope of a few tens of mW, which at least one order of magnitude lower than the target of current heterogeneous computing solutions.
Human-Computer Interaction: narration and deliberation
I'm a student of the University of Trento
I come from Italy
My research is on Human-Computer Interaction: narration and deliberation
My advisor is Zancanaro Massimo
You can contact me by email ruttafbk.eu
Sudipan Saha
Remote Sensing image processing
I'm a student of the University of Trento
I come from India
My research is on Remote Sensing image processing
My advisor is Bovolo Francesca
Something about me
I received my M.Tech. degree in Electrical Engineering from Indian Institute of Technology Bombay, India in 2014 where I researched on medical image processing. Following that, I worked as a computational nano mask technology engineer at Taiwan Semiconductor Manufacturing Company Limited, Taiwan (2015-2016). Currently I am a PhD student at Remote Sensing for Digital Earth (RSDE) group of FBK working under supervision of Francesca Bovolo and Lorenzo Bruzzone (University of Trento). I am researching on detection of changes from high resolution optical satellite images. Recently deep learning methods have exhibited state-of-the-art performance in many computer vision tasks. Taking that cue, I am investigating whether deep learning techniques can be exploited for remote sensing change detection.
You can contact me by email sahafbk.eu
Francesco Segatta
Computational Based Design of Bio-Inspired Electrochromic Molecules for Colour Tuneable Electronic Ink
I'm a student of the University of Bologna
I come from Italy
My research is on Computational Based Design of Bio-Inspired Electrochromic Molecules for Colour Tuneable Electronic Ink
My advisor is Taioli Simone
You can contact me by email fsegattafbk.eu
Mirko Sessa
Model-based design and planning in Plant Automation
I'm a student of the University of Trento
I come from Italy
keywords: Component-based physical modeling, Hybrid DAE, formal verification, hybrid systems, temporal planning, model checking, SMT
My research is on Model-based design and planning in Plant Automation
My advisor is Cimatti Alessandro
Here is an abstract of my research:
Production plants are relevant examples of Cyber-Physical Systems where a complex engineered system is built from the seamless integration of computational algorithms and physical processes. Production plants present different challenges and needs. However, they share the need for technology that lowers the costs of design and verification, and optimizes the efficiency of production processes. This scenario provides the opportunity to satisfy such need through the development of a new generation of Planning Systems. The present research proposal aims to foster the joined application of Formal Verification (FV) and Temporal Planning in the Plant Automation domain leveraging the model-based approach.
I'm a student of the University of Genova
I come from Iran
My advisor is Ranise Silvio
Seyedmostafa Sheikhalishahi
Prediction of chronic diseases using deep learning
I'm a student of the University of Trento
I come from Iran
My research is on Prediction of chronic diseases using deep learning
My advisor is Osmani Venet
You can contact me by email ssheikhalishahifbk.eu
Federico Sinigaglia
Security Analysis and Testing of Strong Authentication Protocols based on Mobile Devices
I'm a student of the University of Genova
I come from Italy
keywords: Security and Privacy, Authentication Protocols, Strong Auhentication, Mobile Security, Security testing, Security Protocol Design Analysis, Security Protocols Testing, Sensible data protection
My research is on Security Analysis and Testing of Strong Authentication Protocols based on Mobile Devices
My advisor is Carbone Roberto
Here is an abstract of my research:
As the number of security-critical, online applications grows, the protection of the digital identities of the users is becoming a growing concern. Strong authentication protocols provide additional security by requiring the user to provide at least two independent proofs of identity for the authentication to succeed. With this work, we want to provide some tools for the analysis and the testing of a specific kind of security protocols: the Strong Authentication Protocols involving mobile devices. These security protocols are widely used for restricting access to critical resources, while their analysis and testing procedure is not fully developed. The aim of this research work is to help security expert to validate and improve the Strong Authentication Protocols design by providing testing tools and guidelines, in order to reach a higher security level for sensitive data access.
Automated regulatory compliance checking of ABAC policies
I'm a student of the University of Trento
I come from Indonesia
keywords: Legal compliance, Data protection regulation, Formal verification, Attribute based access control
My research is on Automated regulatory compliance checking of ABAC policies
My advisor is Armando Alessandro and Ranise Silvio
Here is an abstract of my research:
Nowadays, most of business practices involve personal data processing of customers and employees. And personal data processing is strictly regulated by legislation to protect the rights of the personal data owner. Enforcing regulation into enterprise information system is a non-trivial task, and a misinterpretation can lead to sanctions. This research presents an automatic legal compliance verification method of attribute based access control (ABAC) against the EU Data Protection Directive (DPD) 95/46/EC. The rights, obligations and conditions for lawful personal data processing from the directive are extracted and mapped to a formal legal model. We use this model to check whether an enterprise access control policy complies or violates the regulation.
Something about me
I am a PhD student in the ICT Doctoral School at the University of Trento, Italy. I received my master’s degree in security and cryptology from Université Joseph Fourier, Grenoble, France. My research interests include security, data protection and legal compliance.
I'm a student of the University of Trento
I come from Italy
keywords: Natural Language Processing, Digital Humanities, Temporal Information Processing
My research is on Temporal Processing of Historical Texts
My advisor is Tonelli Sara
Here is an abstract of my research:
Temporal processing has recently become an active area of research because the extraction of temporal information (e.g. temporal expressions, events, temporal relations) from text is a fundamental component of many Human Language Technologies applications. So far temporal processing has been extensively applied only to the news domain: however the recognition and elaboration of temporal information is a crucial step also when dealing with History-related matters. Finding new approaches to the identification of this information in historical texts can assist historians in enhancing their work and can have an impact both on Natural Language Processing and on Digital Humanities research.
I'm a student of the University of Trento
I come from India
keywords: Computer Vision, Multimedia, Machine Learning
My research is on Vision for Multimedia Understanding
My advisor is Lanz Oswald
Here is an abstract of my research:
Multimedia content analysis more and more relies on advanced machine learning to capture the enormous richness of multi-modal sources (commented videos, images with captions, etc.). At the other side, domain specific knowledge is often available to leverage the content analysis task, but effectively encoding it into machine learning (down to the development of task-specific feature representations) is still an open research issue. The goal of this PhD is to progress on the computer vision side of the problem, to go beyond a mono-modal approach where supervisions for learning are provided explicitly. Instead, I will investigate how structured (background knowledge) and semi-structured data (e.g. text captions and descriptions) can be used to provide implicit supervision to enrich the task-specific visual learning capabilities.
Something about me
I am a PhD student at the department of Information Engineering and Computer Science of the University of Trento, Italy, in collaboration with Fondazione Bruno Kessler. My research focuses on deep learning techniques for computer vision applications.
I'm a student of the University of Trento
I come from Iran
My research is on Deep Learning for Machine Translation
My advisor is Federico Marcello
You can contact me by email atebbifakhrfbk.eu
Matteo Terzi
I'm a student of the University of Padova
I come from Italy
My advisor is Serafini Luciano
Alessio Xompero
A Distributed Approach for Localization, Mapping and Object Tracking in Mobile Smart Camera Networks
I'm a student of the QMU London
I come from Italy
keywords: Smart Camera Networks, Computer Vision, Resource Allocation, People Tracking, Localisation and Mapping
My research is on A Distributed Approach for Localization, Mapping and Object Tracking in Mobile Smart Camera Networks
My advisor is Cavallaro Andrea and Lanz Oswald
Here is an abstract of my research:
Smart camera networks benefit from technological advances in sensing, processing and networking capabilities while offering novel opportunities in distributed computer vision research. Especially when people moving in a structured environment are to be monitored using wearable cameras and/or robotic platforms, the synergic collaboration among such devices exposes challenges to be further explored. This research will investigate opportunities of cooperative sensing and processing for real-time mapping, localisation and tracking in such contexts. The problem will be tackled with in a probabilistic framework with resource allocation capabilities to opportunistically manage the scalability-robustness trade-off. Performance assessment will itself require the definition of novel evaluation criteria.
I'm a student of the Universtiy of Padova
I come from Italy
My advisor is Traverso Paolo
Majid Zarghami
CMOS readout ASIC for single-photon and radiation detectors
I'm a student of the University of Trento
I come from Iran
My research is on CMOS readout ASIC for single-photon and radiation detectors
My advisor is Stoppa David
You can contact me by email zarghamifbk.eu
Chenfan Zhang
Attivita di design di un sensore HV per detector di particelle
I'm a student of the University of Liverpool
I come from China
My research is on Attivita di design di un sensore HV per detector di particelle
Emre Özdemir
3D city modeling and 3D cadastre
I'm a student of the Skolkovo Institute of Science and Technology
I come from Turkey
My research is on 3D city modeling and 3D cadastre
My advisor is Remondino Fabio
When engineering secure software systems and services, software testing is one of the prominent practices to detect faults as well as security vulnerabilities. Security testing (also called penetration testing) is a branch of software testing devoted to stress programs with respect to their security features, with the aim of identifying vulnerabilities. The aspects of security testing that will be investigated during the internship include: (1) generating input values (referred to as test payloads), intended to exercise vulnerabilities; (2) evaluating whether such payloads manage to expose an actual vulnerability, i.e., the security oracle. Security testing is highly expensive given the complexity of modern systems, typically providing a wide range of services, and the sophistication of attacks and exploitations. To reduce effort and cost, the focus will be on achieving a high level of automation in security testing.
