"...an excellence PhD program, in collaboration with top universities world wide" – Bernardo Magnini, 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.
Valutazione della distribuzione dei fattori di rischio in popolazioni italiane, fattori nutrizionali, ambientali e genetici con metodi di Intelligenza Artificiale http://users2.unimi.it/scuolascifarm/?page_id=236
Advisor: Cesare Furlanello (furlan@fbk.eu)
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.
Conversational agent in computational linguistic Bernardo Magnini
Spring (TBD)
Abstract:
Process mining provides a new means to improve processes in a variety of application domains. There are two main drivers for this new technology. On the one hand, more and more events are being recorded thus providing detailed information about the history of processes. On the other hand, in most organizations there is a need to improve process performance (e.g., reduce costs and flow time) and compliance (e.g., avoid deviations or risks). This introductory course on process mining teaches students the theoretical foundations of process mining and exposes students to real-life data sets to understand challenges related to process discovery, conformance checking, and model extension.
Location: TBD
Students
Get to know the students currently carrying out their PhD at FBK
Maged Abdelaty
Anomaly Detection and Mitigation in Fog Computing
Greta Adamo
Formal ontologies
Dhaval Adjodah
Understanding Human Dynamics
Tahir Ahmad
Security and Trust
Salek Ali Muhammad
Application of blockchain technologies to the Internet of Things
Anna Rita Altamura
Development of internally-amplified semiconductor based radiation sensors
Gianpaolo Alvari
A Multimodal Deep learning framework for neurodevelopmental trajectories
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
Giulia Bassi
Virtual Coaching Technologies for interventions support in the behavioral change for patients with Type 2 Diabetes
Rasoul Behravesh
Control and data resiliency in 5G network and beyond
Hani Beirami
Automated planning for adaptive and autonomous systems
Barbara Benigni
Computational and Network Neuroscience
Elena Beretta
Data and Algorithms Ethics
Luca Bergamasco
Remote Sensing Image processing
Giulia Bertagnolli
Modeling geometry of complex networks
Giulia Bertò
Machine Learning for Neuroscience
Matteo Biagiola
Software Engineering
Andrea Bonassi
Genes, environmental factors and neuroimaging: A data-driven approach to economic behavior
Federico Bonetti
Gamification for linguistic annotations
Paolo Bosetti
Biologia Matematica e Computazionale
Hana Bredikovà
International Politics and Conflict Resolution
Nicole Bussola
Deep Learning for massive Data in Precision Medicine
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
Arlem Aleida Castillo Avila
Assessment of health status of patients using Machine Learning
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
Yi-Ling Chung
End-to-end Dialogue Models for Conversational Agents and ChatBots
Matteo Corsalini
Religion of Innovation
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
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
Andrea Di Luca
Deep Learning for high energy physics
Nicolò Giuseppe Di Novo
Microfluidic devices for space applications
Damu Ding
Robustness and security in SDN/NFV environments
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
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
Zhifu Feng
Ricerca e sviluppo di processi di nanofabbricazione per la realizzazione di nuovi sensori di gas
Andrea Filippi
Sviluppo di fotorivelatori di singolo fotone al silicio con integrazione di nanostrutture plasmoniche
Francesco Maria Follega
Silvia Fornasini
Personal experiments from education to discovery: shaping new processes in diabetes care
Gabriele Franch
Matthew Franks
Attivita di design di un sensore HV per detector di particelle (Univ.Liverpool_Casse)
Silvio Fugattini
Tecniche avanzate per la realizzazione o la caratterizzazione di dispositivi a semiconduttore
Margherita Galli
Mathematics applied to biological systems
Luca Geatti
Formal specification and verification of cyberphysical systems
Giuseppe Gebbia
Development of silicon photomultipliers for space applications
Davide Giovanelli
Energy Efficient Embedded Digital Architectures
Pawel Gomoluch
Decentralized Adataption with Partial and Distributed Knowledge
Eleonora Grilli
Segmentazione e semantica in nuvole di punti architettoniche
Aravind Harikumar
Remote sensing for environmental monitoring
Davit Harutyunyan
Functional split in 5g networks
Muhammad Awais Jadoon
Distributed Mobile Edge Computing in software defined 5G systems
Gunel Jahangirova
The Oracle Problem in Software Testing
Ahmed Salih Fadhil Jumaah
Socio-Technical and Gamified Systems for managing Health and Wellbeing
Alina Karakanta
Deep Learning for Machine Translation
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
Velu Prabhakar Kumaravel
Embedded systems design for investigating the neural substrates of core perceptual and cognitive function
Federico Carmelo La Vattiata
Artificial Intelligence and health
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
Irene Laudanna
Digital Technologies for mindfulness meditation
Ivano Lauriola
Knowledge extraction from scientific publications in the life science domain exploiting existing knowledge repositories
Yahui Liu
Using cross-modal deep learning representations to study human societies
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
Enrico Magnago
Automated verification of critical systems
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
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
Stefano Merzi
Application of novel position-sensitive Silicon PhotoMultipliers to medical imaging
Marta Missiaggia
Development of innovative micro- and nano detection systems for dosimetry applications
Majid Mollaeefar
Cyber security posture: a quantitative approach
Daniele Morabito
Cloud computing for image-based 3D Data generation, semantic elaboration and Web Visualization
Tommaso Morresi
Numerical simulations on the mechanics of nanocomposites based on graphene or other 2D materials
Asma Mushtaq
Smart gas sensors
Yaroslav Nechaev
Joint Attribute Extraction and Profile Alignment
David Novel
Tensile tests and traction of graphene and related 2d materials and composites
Matteo Perenzoni
Sensori di immagine multispettrali
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 Pratticò
Studio e miglioramento della geometria dei ricevitori di irradiazione solare nelle torri e concentrazione
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
Gabriele Quarta
CMOS sensors for multi-spectral and multifunctional imaging beyond visible wavelengths
Md Masoom Rabbani
Brain, Mind and Computer Science
Sebastian Raimondo
Network science of human mobility: Modelling and prediction
Vandana Rajan
Electronic Engineering and Computer Science
Williams Rizzi
Process Mining
Subhankar Roy
Deep learning for image and video analysis
Carolina Beniamina Rutta
Human-Computer Interaction: narration and deliberation
Sudipan Saha
Remote Sensing image processing
Ullah Sana
Automatic Estimation of Spoken Second Language Proficiency
Milene Santos Teixeira
Planning strategies for dialog-based behavior change interventions
Mirko Sessa
Model-based design and planning in Plant Automation
Amir Sharif
Dynamic Security Analysis of Android Mobile Applications
Seyedmostafa Sheikhalishahi
Prediction of chronic diseases using deep learning
Andrea Simonelli
Robust Dynamic Map Data Recognition and Localization from Large-Scale Crowdsourced Street-Level Imagery
Federico Sinigaglia
Security Analysis and Testing of Strong Authentication Protocols based on Mobile Devices
Swathikiran Sudhakaran
Vision for Multimedia Understanding
Amirhossein Tebbifakhr
Deep Learning for Machine Translation
Matteo Terzi
Chun Tian
Automated verification of critical systems
Alessandro Torresani
Multi-sensor data fusion for terrestrial and indoor 3D modeling
Alessio Xompero
A Distributed Approach for Localization, Mapping and Object Tracking in Mobile Smart Camera Networks
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
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 Trento
I come from Egypt
My research is on Anomaly Detection and Mitigation in Fog Computing
My advisor is Siracusa Domenico
You can contact me by email mabdelatyfbk.eu
Greta Adamo
Formal ontologies
I'm a student of the University of Genoa
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 Genoa
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
Anna Rita Altamura
Development of internally-amplified semiconductor based radiation sensors
I'm a student of the University of Udine
I come from Italy
My research is on Development of internally-amplified semiconductor based radiation sensors
My advisor is Gola Alberto
You can contact me by email aaltamurafbk.eu
Gianpaolo Alvari
A Multimodal Deep learning framework for neurodevelopmental trajectories
I'm a student of the University of Trento
I come from Italy
My research is on A Multimodal Deep learning framework for neurodevelopmental trajectories
My advisor is Furlanello Cesare
You can contact me by email galvarifbk.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
You can contact me by email balaramanfbk.eu
Giulia Bassi
Virtual Coaching Technologies for interventions support in the behavioral change for patients with Type 2 Diabetes
I'm a student of the University of Padova
I come from Italy
keywords: Neuroscience, Technology, Society, XXXIV series
My research is on Virtual Coaching Technologies for interventions support in the behavioral change for patients with Type 2 Diabetes
My advisor is Alberto Lavelli
Here is an abstract of my research:
Virtual Coaching Technologies for interventions support in the behavioral change for patients with Type 2 Diabetes. My project aims to monitor and improve the psychological well-being through a behaviour change with a view to the self-empowerment. In particular, through the development of an interactive chatbot, it is supposed to support these patients for what concern the health-coping, in respect with depression, anxiety and stress dimension.
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 Roberto Riggio
You can contact me by email rbehraveshfbk.eu
Hani Beirami
Automated planning for adaptive and autonomous systems
I'm a student of the University of Trento
I come from Iran
My research is on Automated planning for adaptive and autonomous systems
My advisor is Cimatti Alessandro
You can contact me by email hbeiramifbk.eu
Barbara Benigni
Computational and Network Neuroscience
I'm a student of the University of Trento
I come from Italy
My research is on Computational and Network Neuroscience
My advisor is De Domenico Manlio, Merler Stefano
You can contact me by email bbenignifbk.eu
Elena Beretta
Data and Algorithms Ethics
I'm a student of the Politecnico of Torino
I come from Italy
keywords: Data, Algorithms,Ethics
My research is on Data and Algorithms Ethics
My advisor is Lepri Bruno
Here is an abstract of my research:
The general aim of the research is to investigate the impact of data and algorithms in our society, combining machine learning and statistical models with an epistemological approach from social sciences and humanities; the final purpose is to embed ethics and fairness in mathematical formalizations.
I'm a student of the University of Trento
I come from Italy
My research is on Remote Sensing Image processing
My advisor is Bovolo Francesca
You can contact me by email lbergamascofbk.eu
Giulia Bertagnolli
Modeling geometry of complex networks
I'm a student of the University of Trento
I come from Italy
My research is on Modeling geometry of complex networks
My advisor is De Domenico Manlio
You can contact me by email gbertagnollifbk.eu
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 Genoa
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
Andrea Bonassi
Genes, environmental factors and neuroimaging: A data-driven approach to economic behavior
I'm a student of the University of Trento
I come from Italy
My research is on Genes, environmental factors and neuroimaging: A data-driven approach to economic behavior
My advisor is Lepri Bruno
You can contact me by email abonassifbk.eu
Federico Bonetti
Gamification for linguistic annotations
I'm a student of the University of Trento
I come from Italy
My research is on Gamification for linguistic annotations
My advisor is Tonelli Sara
You can contact me by email fbonettifbk.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 massive Data in Precision Medicine
I'm a student of the University of Trento
I come from Italy
My research is on Deep Learning for massive Data in Precision Medicine
My advisor is Furlanello Cesare
You can contact me by email bussolafbk.eu
Gabriele Calabrò
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
Arlem Aleida Castillo Avila
Assessment of health status of patients using Machine Learning
I'm a student of the University of Trento
I come from Mexico
My research is on Assessment of health status of patients using Machine Learning
My advisor is Osmani Venet
You can contact me by email acastillo2301gmail.com
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
You can contact me by email gceruttifbk.eu
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
End-to-end Dialogue Models for Conversational Agents and ChatBots
I'm a student of the University of Trento
I come from China
My research is on End-to-end Dialogue Models for Conversational Agents and ChatBots
My advisor is Magnini Bernardo
You can contact me by email yilingchung27gmail.com
Matteo Corsalini
Religion of Innovation
I'm a student of the University of Siena
I come from Italy
keywords: religion, post-modern, post-secular societies
My research is on Religion of Innovation
My advisor is Ventura Marco
Here is an abstract of my research:
Matteo’s PhD project addresses the relation between new forms of spirituality and the law in the field of for-profit corporations. On the threshold of post-modern and post-secular societies, by assuming that innovation has become a vehicle for quasi-religious discourses, his research focuses on whether economic growth, unfettered profit-seeking and financial wellness has become itself a new option of faith. Hence, against this background, are we witnessing to the rise of corporate religious freedom in Europe? Were this question to be answered in the affirmative, then, how should the law deal with the new spiritual/quasi-religious conceptions of the good of business activities?
You can contact me by email matteo.corsalinime.com
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
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 Genoa
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
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
Andrea Di Luca
Deep Learning for high energy physics
I'm a student of the University of Trento
I come from Italy
My research is on Deep Learning for high energy physics
My advisor is Furlanello Cesare/Cristoforetti Marco
You can contact me by email adilucafbk.eu
Nicolò Giuseppe Di Novo
Microfluidic devices for space applications
I'm a student of the University of Trento
I come from Italy
My research is on Microfluidic devices for space applications
My advisor is Boscardin Maurizio
You can contact me by email andrea.dilucaunitn.it
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
You can contact me by email dingfbk.eu
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
You can contact me by email sdostfbk.eu
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
Ambra Fastelli
I'm a student of the University of Padova
I come from Italy
keywords: Neuroscience, Technology, Society, XXXIV series
My advisor is Mich Ornella
Here is an abstract of my research:
Spoken language consists of sequentially arrayed language units connected by statistical relations. Implicit Statistical Learning (SL) is a domain-general ability to learn structured sequential patterns which have been described as automatic, incidental, and spontaneous (Arciuli et al., 2012). Research has suggested it may underlie language acquisition starting from a really early age (Saffran, 2003). Some studies suggest that deaf children may lack of efficiency in this aspect of learning (Conway et al., 2007). The general purpose of my project is to investigate implicit and explicit language learning processes in children with deafness. It consists of two main phases: a basic research and an applicative training-phase. I aim to deepen the current theoretical knowledge of Sequence Learning and Working Memory processes, and examine how these abilities relate to the linguistic outcomes of deaf children. The proficiency obtained by this research is contributing to the development of a serious-game, that will serve as a training. Hopefully, this could represent an innovative starting point for new therapies addressed to all those children who are showing difficulties in language learning, such as children with deafness or learning disabilities.
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.
Ricerca e sviluppo di processi di nanofabbricazione per la realizzazione di nuovi sensori di gas
I'm a student of the University of Ferrara
I come from China
My research is on Ricerca e sviluppo di processi di nanofabbricazione per la realizzazione di nuovi sensori di gas
My advisor is Bellutti Pierluigi
You can contact me by email zfengfbk.eu
Andrea Filippi
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 UniversIty of Trento
I come from Italy
My advisor is Perenzoni Matteo
You can contact me by email f.follegafbk.eu
Silvia Fornasini
Personal experiments from education to discovery: shaping new processes in diabetes care
I'm a student of the UniversIty of Trento
I come from Italy
My research is on Personal experiments from education to discovery: shaping new processes in diabetes care
My advisor is Gabrielli Silvia
You can contact me by email s.fornasinifbk.eu
Gabriele Franch
I'm a student of the University of Trento
I come from Italy
My advisor is Furlanello Cesare
You can contact me by email franchfbk.eu
Matthew Franks
Attivita di design di un sensore HV per detector di particelle (Univ.Liverpool_Casse)
I'm a student of the University of Liverpool
I come from Great Britain
My research is on Attivita di design di un sensore HV per detector di particelle (Univ.Liverpool_Casse)
My advisor is Massari Nicola
You can contact me by email m.l.franksliverpool.ac.uk
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
Margherita Galli
Mathematics applied to biological systems
I'm a student of the University of Udine
I come from Italy
My research is on Mathematics applied to biological systems
My advisor is Merler Stefano
You can contact me by email mgallifbk.eu
Luca Geatti
Formal specification and verification of cyberphysical systems
I'm a student of the University of Udine
I come from Italy
My research is on Formal specification and verification of cyberphysical systems
My advisor is Cimatti Alessandro
You can contact me by email lgeattifbk.eu
Giuseppe Gebbia
Development of silicon photomultipliers for space applications
I'm a student of the University of Trento
I come from Italy
My research is on Development of silicon photomultipliers for space applications
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.
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
Aravind Harikumar
Remote sensing for environmental monitoring
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
Muhammad Awais Jadoon
Distributed Mobile Edge Computing in software defined 5G systems
I'm a student of the University of Trento
I come from Pakistan
My research is on Distributed Mobile Edge Computing in software defined 5G systems
My advisor is Riggio Roberto
You can contact me by email mawaisjadoongmail.com
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 Trento
I come from Greece
My research is on Deep Learning for Machine Translation
My advisor is Turchi Marco
You can contact me by email alina.karakantaunitn.it
Abdullah Khan
Understanding multimedia contents
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
Velu Prabhakar Kumaravel
Embedded systems design for investigating the neural substrates of core perceptual and cognitive function
I'm a student of the University of Trento
I come from India
My research is on Embedded systems design for investigating the neural substrates of core perceptual and cognitive function
My advisor is Farella Elisabetta
You can contact me by email vkumaravelfbk.eu
Federico Carmelo La Vattiata
Artificial Intelligence and health
I'm a student of the University of Trento
I come from Italy
My research is on Artificial Intelligence and health
My advisor is Graiff Antonella
You can contact me by email federico.lavattiataunitn.it
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
Irene Laudanna
Digital Technologies for mindfulness meditation
I'm a student of the University of Trento
I come from Italy
My research is on Digital Technologies for mindfulness meditation
My advisor is Zancanaro Massimo
You can contact me by email ilaudannafbk.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
Yahui Liu
Using cross-modal deep learning representations to study human societies
I'm a student of the University of Trento
I come from China
My research is on Using cross-modal deep learning representations to study human societies
My advisor is Lepri Bruno
You can contact me by email yahui.liuunitn.it
Matteo Lorenzini
I'm a student of the University of Trento
I come from Italy
My advisor is Tonelli Sara
You can contact me by email m.lorenzinifbk.eu
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
You can contact me by email eloriafbk.eu
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 Riggio Roberto
Here is an abstract of my research:
Currently, I have been working on one of the next generations of cellular networks, LTE-LAA, and its co-existence possibilities with WIFI. 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.
Something about me
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 the BBK/CREATE-NET research center in Povo, Trento Under supervision of Dr. Leonardo Goratti (now at Safran Aereospace) and Dr. Roberto Riggio.
You can contact me by email b.mafakherifbk.eu
Enrico Magnago
Automated verification of critical systems
I'm a student of the University of Trento
I come from Italy
My research is on Automated verification of critical systems
My advisor is Cimatti Alessandro
You can contact me by email en.magnagogmail.com
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
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
Stefano Merzi
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
Marta Missiaggia
Development of innovative micro- and nano detection systems for dosimetry applications
I'm a student of the University of Trento
I come from Italy
My research is on Development of innovative micro- and nano detection systems for dosimetry applications
My advisor is Boscardin Maurizio
You can contact me by email marta.missiaggiaunitn.it
Majid Mollaeefar
Cyber security posture: a quantitative approach
I'm a student of the University of Genoa
I come from Iran
My research is on Cyber security posture: a quantitative approach
My advisor is Ranise Silvio
You can contact me by email mmollaeefarfbk.eu
Daniele Morabito
Cloud computing for image-based 3D Data generation, semantic elaboration and Web Visualization
I'm a student of the University of Athens
I come from Italy
My research is on Cloud computing for image-based 3D Data generation, semantic elaboration and Web Visualization
My advisor is Remondino Fabio
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 Bolzano
I come from Pakistan
My research is on Smart gas sensors
My advisor is Bellutti Pierluigi
You can contact me by email amushtaqfbk.eu
Yaroslav Nechaev
Joint Attribute Extraction and Profile Alignment
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
Matteo Perenzoni
Sensori di immagine multispettrali
I'm a student of the University of Ferrara
I come from Italy
My research is on Sensori di immagine multispettrali
My advisor is Pepponi Giancarlo
You can contact me by email perenzonifbk.eu
Miguel Rodrigo Pincheira Caro
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).
Studio e miglioramento della geometria dei ricevitori di irradiazione solare nelle torri e concentrazione
I'm a student of the Sapienza University
I come from Italy
My research is on Studio e miglioramento della geometria dei ricevitori di irradiazione solare nelle torri e concentrazione
My advisor is Crema Luigi
You can contact me by email pratticofbk.eu
Luca Putelli
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
You can contact me by email lputellifbk.eu
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
Gabriele Quarta
CMOS sensors for multi-spectral and multifunctional imaging beyond visible wavelengths
I'm a student of the University of Salento
I come from Italy
My research is on CMOS sensors for multi-spectral and multifunctional imaging beyond visible wavelengths
My advisor is Perenzoni Matteo
Here is an abstract of my research:
Silicon has demonstrated enormous potential for use as a visible light sensor. Nonetheless, it also demonstrated the ability to go further. Exploring and combining different detection principles in a single image sensor using integrated low noise electronics, is the purpose of this doctoral thesis. The activities will go through the study of the various detection principles, the potential applications, and the design and implementation of a multi-spectral and multifunctional CMOS image senso
You can contact me by email gabriele.quarta91gmail.com
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
Sebastian Raimondo
Network science of human mobility: Modelling and prediction
I'm a student of the University of Trento
I come from Italy
My research is on Network science of human mobility: Modelling and prediction
My advisor is De Domenico Manlio
You can contact me by email sebasraim4gmail.com
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
Williams Rizzi
Process Mining
I'm a student of the University of Bolzano
I come from Italy
My research is on Process Mining
My advisor is Ghidini Chiara
You can contact me by email rizzi.williamsme.com
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
Carolina Beniamina Rutta
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
Ullah Sana
Automatic Estimation of Spoken Second Language Proficiency
I'm a student of the University of Trento
I come from Pakistan
My research is on Automatic Estimation of Spoken Second Language Proficiency
My advisor is Matassoni Marco
You can contact me by email csemkdgmail.com
Milene Santos Teixeira
Planning strategies for dialog-based behavior change interventions
I'm a student of the University of Trento
I come from Brazil
My research is on Planning strategies for dialog-based behavior change interventions
My advisor is Eccher Claudio
You can contact me by email m.santosteixeiraunitn.it
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.
Dynamic Security Analysis of Android Mobile Applications
I'm a student of the University of Genoa
I come from Iran
My research is on Dynamic Security Analysis of Android Mobile Applications
My advisor is Carbone Roberto
You can contact me by email ashariffbk.eu
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
Andrea Simonelli
Robust Dynamic Map Data Recognition and Localization from Large-Scale Crowdsourced Street-Level Imagery
I'm a student of the University of Trento
I come from Italy
My research is on Robust Dynamic Map Data Recognition and Localization from Large-Scale Crowdsourced Street-Level Imagery
My advisor is Ricci Elisa
You can contact me by email asimonellifbk.eu
Federico Sinigaglia
Security Analysis and Testing of Strong Authentication Protocols based on Mobile Devices
I'm a student of the University of Genoa
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.
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 Turchi Marco, Negri Matteo
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
Here is an abstract of my research:
My research project is focused in two main parts: the first one is time-series classification and anomaly detection applied to several practical problems (such as activity recognition), which are not been investigated yet or are only partially solved. One of my objectives is to incorporate the dynamics information of the problem at hand within a machine learning algorithm. At this aim, deep learning solutions can provide state-of-art performance in terms of accuracy. However, it is well-known that current DL architectures are not robust with respect to small perturbations applied to the input signal. Currently, the state-of-the-art approach to tackle this issue is adversarial learning which consists on solving a saddle point problem. This approach provides more robust but less accurate solutions. Moreover, the training phase is very slow. Thus, my second part regards the study of robustness of deep-learning algorithm in order to provide solutions that are robust and accurate at the same time.
I'm a student of the University of Trento
I come from China
My research is on Automated verification of critical systems
My advisor is Cimatti Alessandro
You can contact me by email ctianfbk.eu
Alessandro Torresani
Multi-sensor data fusion for terrestrial and indoor 3D modeling
I'm a student of the University of Trento
I come from Italy
My research is on Multi-sensor data fusion for terrestrial and indoor 3D modeling
My advisor is Remondino Fabio
You can contact me by email atorresanifbk.eu
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.
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 Gasparini Leonardo
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
My advisor is Massari Nicola
You can contact me by email czhangfbk.eu
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.
