Department of Physics

Faculty of Engineering (FENG)

Faculty of Computer Science (FACIN)

Department of Control and Computer Engineering

Department of Chemical Science and Technology

Faculty of Language and Literature, Humanities, Arts and Education

Department of physics

Department of information engineering and computer science (DISI)

Department of industrial engineering (DII)

Department of psychology and cognitive science (COGSCI)

Centre for integrative biology (CIBIO)

Dipartimento di Studi Umanistici

Human inspired technology (HIT) research centre

Department of informatics, bioengineering, robotics and systems engineering (DIBRIS)

Department of information engineering (DINFO)

Department of information engineering (DII)

Department of electrical, electronic and information engineering (DEI)

Department of computer science

School of electronic engineering and computer science

Media Lab

Department of computing

Università degli Studi di Trento

agreement with phd schools

Strong partnership on all topics of ICT, cognitive science, bioinformatics, industrial engineering and physics

Università degli studi Di Padova

joint phd school

Strong partnership in particular with the Brain, Mind and Computer Science (BMCS) doctoral program

Università degli Studi di Bologna

joint phd school

Strong partnership on Electronics, Telecommunications, and Information Technologies Engineering

Consorzio delle Università degli Studi di Firenze, Pisa e Siena

joint phd school

Strong partnership on smart computing

Università degli Studi di Genova

joint phd school

Strong partnership on Security and Software Engineering, in particular with Prof. Alessandro Armando and Prof. Filippo Ricca

University College London, UK

agreement with phd school

Strong partnership with the Software Systems Engineering group, Prof. Mark Harman and Prof. Emmanuel Letier

Imperial College London, UK

agreement with phd school

Strong partnership on Distributed Software Engineering, in particular with Prof. Alessandra Russo

Queen Mary University, London, UK

agreement with phd school

Strong partnership on Computer Science

Massachusetts Institute of Technology, USA

agreement with phd school

Strong partnership on Computer Science

Università degli Studi di Pavia

agreement with phd school

Strong partnership on Linguistic Sciences, in particular with Prof. Elisabetta Jezek

Università degli Studi di Brescia

agreement with phd school

Strong partnership on Computer Science, in particular with Prof. Alfonso Gerevini

University of Luxembourg

agreement with phd school

Strong partnership on Social Sciences

Università degli Studi di Roma "Tor Vergata"

agreement with phd school

Strong partnership on Chemistry of Materials

Politecnico di Torino

agreement with phd school

Strong partnership on Control and Computer Engineering

Pontifical Catholic University of Rio Grande do Sul

agreement with phd school

Strong partnership on Computer Science and Engineering

University of Liverpool

agreement with phd school

Strong partnership on Physics

Mahmoud Fakhry Mahmoud Abdelraheem

Acoustic Scene Analysis and Distant-talking Speech Recognition

I'm a student of the University of Trento I come from Egypt My research is on Acoustic Scene Analysis and Distant-talking Speech Recognition My advisor is Omologo Maurizio

Greta Adamo

Formal ontologies

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

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"

more information https://pdi.fbk.eu/people/profile/adamo
You can contact me by email adamofbk.eu

Dhaval Adjodah

Understanding Human Dynamics

I'm a student of the MIT Media Lab I come from Mauritius islands My research is on Understanding Human Dynamics My advisor is Lepri Bruno

more information http://www.media.mit.edu/people/dhaval

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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).

Muhammad Ali

CMOS Image Sensors for Advanced Applications

I'm a student of the University of Trento I come from Pakistan My research is on CMOS Image Sensors for Advanced Applications My advisor is Stoppa David

more information https://iris.fbk.eu/it/people/profile/muhali
You can contact me by email muhalifbk.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 Fabio Antonelli

Manuel Aravecchia

Vision based scene understanding

I'm a student of the University of Trento I come from Italy keywords: sensor fusion vision-based localisation and tracking on hand-held devices My research is on Vision based scene understanding My advisor is Messelodi Stefano

more information https://tev.fbk.eu/people/profile/aravecchia
You can contact me by email aravecchiafbk.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

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

more information http://www.ectstar.eu/people/profile/mazzolini
You can contact me by email mazzoliniectstar.eu

Danilo Benozzo

Neuroinformatics - Machine Learning for Neuroscience

I'm a student of the University of Trento I come from Italy My research is on Neuroinformatics - Machine Learning for Neuroscience My advisor is Avesani Paolo

more information https://nilab.fbk.eu/people/profile/benozzo
You can contact me by email benozzofbk.eu

Andrea Beretta

Interacting with big data

I'm a student of the University of Trento I come from Italy My research is on Interacting with big data My advisor is Zancanaro Massimo

Martino Bernard

Development of light-wave-circuits for quantum-optics

I'm a student of the University of Trento I come from Italy My research is on Development of light-wave-circuits for quantum-optics My advisor is Ghulinyan Mehr

more information https://it.linkedin.com/in/martino-bernard-1b3a655b
You can contact me by email bernardfbk.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.

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.

Marinko Bobic

Strategic studies and international security

I'm a student of the University of Trento I come from Croatia My research is on Strategic studies and international security My advisor is Andreatta Filippo

more information http://web.unitn.it/en/drsis/24825/bobic-marinko
You can contact me by email marinko.bobicgmail.com

Maddalena Boselli

Many-body Physics of Hadrons and Nuclei

I'm a student of the University of Trento I come from Italy My research is on Many-body Physics of Hadrons and Nuclei My advisor is Binosi Daniele

more information http://www.ectstar.eu/people/profile/boselli
You can contact me by email boselliectstar.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

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

more information http://web.unitn.it/en/drsis/40539/bredikova-hana

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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

more information http://web.unitn.it/node/40897
You can contact me by email capuanofbk.eu

Rocco Carcione

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

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.

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

more information https://mobs.fbk.eu/people/profile/centellegher
You can contact me by email centellegherfbk.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

more information https://hlt-mt.fbk.eu/people/profile/chatterjee
You can contact me by email chatterjeefbk.eu

Alessio Coletta

Security Monitoring for Cyber Physical Systems

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

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

Wenting Dang

Stretchable electrical interconnections for flexible electronics

I'm a student of the University of Glasow I come from China My research is on Stretchable electrical interconnections for flexible electronics My advisor is Leandro Lorenzelli Ravinder Dahiya, Vincenzo Vinciguerra

more information http://www.contest-itn.eu/node/89
You can contact me by email wdangfbk.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

Stanislav Dashevskyi

Certification of Third-Parties Applications

I'm a student of the University of Trento I come from Ukraine My research is on Certification of Third-Parties Applications My advisor is Massacci Fabio

more information http://www.secentis.eu/people
You can contact me by email dashevskyifbk.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

more information https://mobs.fbk.eu/people/profile/denadai
You can contact me by email denadaifbk.eu

Martina De Sanctis

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.

more information https://das.fbk.eu/people/profile/msanctis
You can contact me by email msanctisfbk.eu

Biniam Fisseha Demissie

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.

more information https://se.fbk.eu/people/profile/demissie
You can contact me by email demissiefbk.eu

Mattia Antonino Di Gangi

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

Ivan Donadello

Integrating logical and statistical reasoning

I'm a student of the University of Trento I come from Italy keywords: Semantic image interpretation, knowledge extraction, deep learning, semantic clustering My research is on Integrating logical and statistical reasoning My advisor is Serafini Luciano

Here is an abstract of my research:

In image retrieval there is an emerging interest in searching images on the basis of semantic descriptions of their content: for example searching for all the images that portray `a man riding a horse on a lawn`. Addressing this need requires (i) a language for describing image content and (ii) an automatic method to generate a description of such content. Our research proposes the use of ontologies in combination with machine learning to solve these problems. First, we explore the usage of ontological languages for expressing image content, which is represented as a partial model of an ontology. Second, we study the usage of ontology axioms, which impose constraints on image content, to improve the current image processing algorithms. Indeed, such algorithms are almost exclusively based on numerical methods, and integrating logical constraints in statistical algorithms is still an open problem. We therefore propose a novel method for combining logical reasoning with the processing of low-level image features, with the objective of improving the performance of current image interpretation systems.

more information https://dkm.fbk.eu/people/profile/donadello
You can contact me by email donadellofbk.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

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

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.

Mojtaba Eskandari

Security Policy enforcement and monitoring

I'm a student of the University of Trento I come from Iran My research is on Security Policy enforcement and monitoring My advisor is Crispo Bruno

more information http://www.secentis.eu/people
You can contact me by email eskandarifbk.eu

Ahmed Salih Fadhil

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.

more information https://ahmedsalih.files.wordpress.com/2014/12/curriculum-vitae-14-28-36.pdf
You can contact me by email fadhilfbk.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.

more information https://hlt-mt.fbk.eu/people/profile/farajian
You can contact me by email farajianfbk.eu

Ambra Fastelli

I'm a student of the University of Padova I come from Italy My advisor is Traverso Paolo

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.

more information https://hlt-nlp.fbk.eu/people/profile/feltracco
You can contact me by email feltraccofbk.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

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

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

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

more information https://hlt-nlp.fbk.eu/people/profile/l.gatti
You can contact me by email l.gattifbk.eu

Simone Ghio

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

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.

more information https://e3da.fbk.eu/people/profile/dgiovanelli
You can contact me by email dgiovanellifbk.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.

more information https://das.fbk.eu/people/profile/gomoluch
You can contact me by email gomoluchfbk.eu

Eleonora Grilli

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.

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

more information http://mobs.fbk.eu/people/profile/gundogdu
You can contact me by email gundogdufbk.eu

Shoubhik Gupta

Bendable FET-Based Tactile sensors

I'm a student of the University of Glasow I come from India My research is on Bendable FET-Based Tactile sensors My advisor is Leandro Lorenzelli, Ravinder Dahiya

more information https://uk.linkedin.com/in/shoubhikgupta
You can contact me by email sguptafbk.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.

more information https://rsde.fbk.eu/people/profile/harikumar
You can contact me by email harikumarfbk.eu

Davit Harutyunyan

Functional split in 5g networks

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 Roberto Riggio

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.

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.

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

more information https://se.fbk.eu/people/profile/jahangirova
You can contact me by email jahangirovafbk.eu

Shahab Jalalvand

Speech transcription and translation for multimedia content

I'm a student of the University of Trento I come from Iran keywords: Automatic speech recognition, quality estimation, machine learning My research is on Speech transcription and translation for multimedia content My advisor is Falavigna Giuseppe

Here is an abstract of my research:

The work on ASR quality estimation (ASR QE) has several motivations. First, the steady increase of applications involving automatic speech recognition (e.g. video/TV programs subtitling, voice search engines, voice question answering, spoken dialog systems, meeting and broadcast news transcriptions) calls for an accurate method to estimate ASR output quality at run-time. In this thesis, we study and design strategies for predicting the quality of ASR transcriptions from feature extraction to machine learning and applications.

more information https://hlt-mt.fbk.eu/people/profile/jalalvand
You can contact me by email jalalvandfbk.eu

Bo Jin

Understanding multimedia contents

I'm a student of the University of Firenze I come from China My research is on Understanding multimedia contents My advisor is Furlanello Cesare

Something about me

Nothing is everything

Elena Kalinina

Machine Learning for Neuroscience

I'm a student of the University of Trento I come from Russia My research is on Machine Learning for Neuroscience My advisor is Avesani Paolo

more information https://nilab.fbk.eu/people/profile/kalinina
You can contact me by email kalininafbk.eu

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

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

more information https://iris.fbk.eu/it/people/profile/khatib
You can contact me by email khatibfbk.eu

Reza Khoshkangini

Brain, mind and computer science

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

more information https://das.fbk.eu/people/profile/khoshkangini
You can contact me by email khoshkanginifbk.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

Isotta Landi

Predictive Models for developmental trajectories

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

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.

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.

Simone Magnolini

Automatic reasoning for semantic analysis of texts

I'm a student of the University of Brescia I come from Italy My research is on Automatic reasoning for semantic analysis of texts My advisor is Magnini Bernardo

more information http://hlt-nlp.fbk.eu/people/profile/magnolini
You can contact me by email magnolinifbk.eu

Md Shahriar Mahbub

Distributed energy generation: analysis and optimization tools

I'm a student of the University of Trento I come from Bangladesh My research is on Distributed energy generation: analysis and optimization tools My advisor is Crema Luigi

more information http://ares.fbk.eu/it/people/profile/mahbub
You can contact me by email mahbubfbk.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 Prof. Barbara Caputo

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.

more information https://tev.fbk.eu/people/profile/mancini
You can contact me by email mancinifbk.eu

Marco Marcante

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

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 Nadhira Bensaada Laidani

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 Domenico Siracusa

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

Valentina Marziano

Computational epidemiology

I'm a student of the University of Trento I come from Italy My research is on Computational epidemiology My advisor is Merler Stefano

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 Francesco De Pellegrini

Prashant Mathur

Domain adaptation in statistical machine translation

I'm a student of the University of Trento I come from India My research is on Domain adaptation in statistical machine translation My advisor is Federico Marcello

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

more information https://i3.fbk.eu/people/profile/mencarini
You can contact me by email mencarinifbk.eu

Stefano Menini

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.

more information https://dh.fbk.eu/people/profile/menini
You can contact me by email meninifbk.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 Alberto Gola

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.

Nadia Metoui

Risk-based access control

I'm a student of the University of Trento I come from Tunisia My research is on Risk-based access control My advisor is Armando Alessandro

more information http://www.secentis.eu/people
You can contact me by email metouifbk.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

more information http://www.ectstar.eu/people/profile/morresi
You can contact me by email morresiectstar.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.

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

Olufemi Akindele Olumodeji

Memristor-based computing architectures with advanced signal processing capabilities

I'm a student of the University of Trento I come from Nigeria My research is on Memristor-based computing architectures with advanced signal processing capabilities My advisor is Lorenzelli Leandro

Something about me

Olufemi Akindele Olumodeji received his Bachelors degree in Network & Telecommunication and his Masters degree in Microelectronic in 2011 and 2013 respectively. He is currently a PhD candidate at IRIS unit of FBK where he has been investigating novel electronic circuits for memristors which combine resistive and memory properties. His research interests are in the field of memristor-based anologue circuit applications.

more information https://iris.fbk.eu/it/people/profile/olumodeji
You can contact me by email olumodejifbk.eu

Lorenzo Papa

Communicating smart city: big data visualization and communication models for citizen, citizen manager and others stakeholders.

I'm a student of the University of Padova I come from Italy keywords: Interacting with smart cities. My research is on Communicating smart city: big data visualization and communication models for citizen, citizen manager and others stakeholders. My advisor is Pistore Marco

Here is an abstract of my research:

The main focus of my PhD regards smart cities (Smart health): nowadays, the possibility to change something in a city is only managed in a qualitatively fashion; the most common way to obtain some information from citizens about their cities, is still done by means of questionnaires or by directly interviewing. We still have not a quantitatively feedback from people. Technological development, namely wearable systems, and fast computation make it possible to measure quantitatively the biological signals produced by the human body. The concept of the research project is not only based on the feedback from people, but also on the control of their state by measuring their physiological signals (ECG, EDA, etc...) to assess in everyday-life and in real time how they could be improved, in order to also improve their life quality. Combining these signals, we could potentially obtain a comprehensive and reliable description of physiological indices related to specific scenarios that could be exploited, in every moment, to model the citizen behavior. Once defined the most significant parameters and analyzed them through processing, it will be necessary to define and display the results in a simple and understandable way to all citizens: the interaction between them and technological devices will be designed to be as easy as possible allowing people to react with fast and almost instantaneous changes. The data obtained will be accessible by users through user-friendly interfaces, which will not only allow an instant understanding of the values analyzed, but it could also lead to a new concept of smart city, from a static smart city (changes made after long periods) to a dynamic smart city (changes made in very short periods). The final goal of the PhD research project will be the development of guide protocols and a wearable equipment that can be used in all the cities, turning them into smart cities with a higher quality of life for the citizen.

more information http://hit.psy.unipd.it/lorenzo-papa
You can contact me by email lorenzo.papa89gmail.com

Federico Pederzolli

Control and management of next generation transport networks

I'm a student of the University of Trento I come from Italy My research is on Control and management of next generation transport networks My advisor is Domenico Siracusa

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

more information http://www.ectstar.eu/people/profile/pedrielli
You can contact me by email pedrielliectstar.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.

more information https://dkm.fbk.eu/people/profile/petrucci
You can contact me by email petruccifbk.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.

more information https://it.linkedin.com/in/davide-pirrone-41aa552b
You can contact me by email pirronefbk.eu

Rajeev Kumar Piyare

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).

more information http://ieee.confidentialresume.com/rajeev_piyare/
You can contact me by email piyarefbk.eu

Md Masoom Rabbani

I'm a student of the University of Padova I come from India My advisor is Ranise Silvio

Veronica Regazzoni

Development, optimization and utilization of Silicon Photomultipliers (SiPM) devices as radiation detector in fields of proton for radiotherapy

I'm a student of the University of Trento I come from Italy My research is on Development, optimization and utilization of Silicon Photomultipliers (SiPM) devices as radiation detector in fields of proton for radiotherapy My advisor is Gola Alberto

Something about me

I am currently at the Fondazione Bruno Kessler in the Integrated Radiation and Image Sensors group, working on the characterization of Silicon Photomultipliers and their use as radiation detectors in medical application as part of my research on the PhD program in Physics at the University of Trento, Italy.

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

more information http://web.unitn.it/en/drsis/37227/scott-nicholas-romaniuk
You can contact me by email scott.romaniukunitn.it

Alessandro Rossi

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

Nicholas Ruiz

Statistical Machine Translation

I'm a student of the University of Trento My research is on Statistical Machine Translation My advisor is Federico Marcello

more information https://hlt-mt.fbk.eu/people/profile/nicruiz
You can contact me by email nicruizfbk.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.

more information https://e3da.fbk.eu/people/profile/rusci
You can contact me by email ruscifbk.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.

Ali Sajjad

Embedded Systems

I'm a student of the University of Genova I come from Pakistan My research is on Embedded Systems My advisor is Bozzano Marco

Something about me

I'm a student of the University of Genova, I come from Pakistan. My research is on Model-based safety assessment for hybrid systems. My advisor is Alessandro Cimatti

Gaia Cecilia Santini

Nanostructured Materials for Sample Preparation in Deep Sequencing Systems

I'm a student of the University of Trento I come from Italy My research is on Nanostructured Materials for Sample Preparation in Deep Sequencing Systems My advisor is Pederzolli Cecilia

more information https://www.researchgate.net/profile/Gaia_Santini
You can contact me by email gcsantinifbk.eu

Giada Sciarretta

Security and Privacy of Mobile Applications: Authentication and Authorization

I'm a student of the University of Trento I come from Italy My research is on Security and Privacy of Mobile Applications: Authentication and Authorization My advisor is Armando Alessandro, Silvio Ranise, and Roberto Carbone

Something about me

I have received my MSc in mathematics at the University of Trento, Italy. I am currently pursuing a PhD in computer science at the University of Trento and working at the Security & Trust research unit of Fondazione Bruno Kessler on a project related to digital identity and access management for mobile applications.

more information https://st.fbk.eu/people
You can contact me by email giada.sciarrettafbk.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

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.

more information https://www.linkedin.com/in/mirko-sessa-8a89a330
You can contact me by email sessafbk.eu

Nusrat Sharmin

Machine learning in diffusion MRI data

I'm a student of the University of Trento I come from Bangladesh keywords: Machine Learning, Brain Connectivity, dMRI Data, Graph Matching,Linear Assignment Problem My research is on Machine learning in diffusion MRI data My advisor is Avesani Paolo

Here is an abstract of my research:

Tractograms of different brains need to be aligned in a common representation space for various purposes, such as group-analysis, segmentation or atlas construction. We investigate the registrationbased alignment and propose to improve it, by what we call mapping. We formulate the mapping problem as combinatorial optimization problem.

more information http://nilab.fbk.eu/people/profile/sharmin
You can contact me by email sharminfbk.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.

more information http://st.fbk.eu/people/profile/sinigaglia
You can contact me by email sinigagliafbk.eu

Hari Siswantoro

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.

more information https://st.fbk.eu/people/profile/siswantoro
You can contact me by email siswantorofbk.eu

Yady Tatiana Solano Correa

Advanced Methods for the Analysis of Very High Resolution Multi-Sensor Optical Images Time-Series

I'm a student of the University of Trento I come from Colombia keywords: Image Processing Pattern recognition Remote sensing image analysis My research is on Advanced Methods for the Analysis of Very High Resolution Multi-Sensor Optical Images Time-Series My advisor is Bovolo Francesca

Here is an abstract of my research:

The use of remote sensing in the analysis and evaluation of environmental degeneration processes has become a valuable tool which relevance increased in conjunction with the use of digital image processing techniques. The improvement in acquisition sensor technology as well as in the data processing algorithm allowed an accurate and automatic identification and extraction of characteristics for the understanding of the environmental changes, especially while working with Very High Resolution (VHR) information. Nevertheless, the revisit of the sensors, the competing orders, and the weather conditions do not always allow the acquisition of proper and relevant information. To mitigate these limitations it is possible to construct time series by considering images acquired by different sensors. The main constraint becomes how to deal with this kind of information. Therefore, in this research we aim at developing an approach for the detection of changes in multisensor multitemporal VHR optical images by following two main steps: i) multi-sensor data homogenization; and ii) change detection for the analysis in multisensor multitemporal VHR images.

more information https://rsde.fbk.eu/people/profile/solano
You can contact me by email solanofbk.eu

Rachele Sprugnoli

Temporal Processing of Historical Texts

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.

more information https://dh.fbk.eu/people/profile/sprugnoli
You can contact me by email sprugnolifbk.eu

Swathikiran Sudhakaran

Vision for Multimedia Understanding

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.

more information http://tev.fbk.eu/people/profile/sudhakaran
You can contact me by email sudhakaranfbk.eu

Serra Sinem Tekiroglu

Sensorial Association of the words and its effects on Figurative Language

I'm a student of the University of Trento I come from Turkey keywords: Computational Linguistics, Natural Language Processing, Lexical Semantics My research is on Sensorial Association of the words and its effects on Figurative Language My advisor is Strapparava Carlo

Here is an abstract of my research:

To tackle the semantics of figurative language, several conceptual properties such as concreteness or imegeability are employed. However, there is no attempt in the literature to analyze and benefit from the sensorial elements for figurative language processing. In this thesis, the impact of sensorial features on metaphor processing is investigated.

more information https://it.linkedin.com/in/serra-sinem-tekiroğlu-39141317
You can contact me by email tekiroglufbk.eu

Matteo Terzi

I'm a student of the University of Padova I come from Italy My advisor is Serafini Luciano

Sajina Tinku

Functional contact lens for human health monitoring

I'm a student of the University of Glasow I come from India My research is on Functional contact lens for human health monitoring My advisor is Leandro Lorenzelli Ravinder Dahiya, Vincenzo Vinciguerra

Georgia Tryfou

Audio signal processing for music information retrieval

I'm a student of the University of Trento I come from Greece My research is on Audio signal processing for music information retrieval My advisor is Omologo Maurizio

more information https://shine.fbk.eu/people/profile/tryfou
You can contact me by email tryfoufbk.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.

more information http://www.eecs.qmul.ac.uk/people/view/46084/alessio-xompero
You can contact me by email a.xomperoqmul.ac.uk

Nivasan Yogeswaran

Graphene-based FET for larage area flexible sensors

I'm a student of the University of Glasow I come from Sri Lanka My research is on Graphene-based FET for larage area flexible sensors My advisor is Leandro Lorenzelli Ravinder Dahiya, Vincenzo Vinciguerra

more information http://www.contest-itn.eu/node/90
You can contact me by email yogesfbk.eu

Alessandro Zandonà

Predictive networks for functional metagenomics

I'm a student of the University of Trento I come from Italy My research is on Predictive networks for functional metagenomics My advisor is Furlanello Cesare

more information https://www.linkedin.com/in/alessandro-zandona-24884481?authType=NAME_SEARCH&authToken=Gkiz
You can contact me by email zandonafbk.eu

Marco Zanoli

CMOS low-noise readout circuits for arrays of THz sensors

I'm a student of the University of Trento I come from Italy My research is on CMOS low-noise readout circuits for arrays of THz sensors My advisor is Perenzoni Matteo

Gaetano Zappalà

Caratterizzazione di fotomoltiplicatori al silicio sensibili alla luce ultravioletta estrema

I'm a student of the University of Trento I come from Italy keywords: Silicon Radiation Sensors My research is on Caratterizzazione di fotomoltiplicatori al silicio sensibili alla luce ultravioletta estrema My advisor is Piemonte Claudio

Calogero Zarbo

Cloud computing solutions for big omics analytics in Bioinformatics

I'm a student of the University of Trento I come from Italy My research is on Cloud computing solutions for big omics analytics in Bioinformatics My advisor is Furlanello Cesare

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

Deep machine learning for speaker diarization

The problem of identifying who is speaking and when is a relevant task for many applications, ranging from electronic surveillance and telephone taping to speech recognition in cocktail party scenarios. This task is extremely challenging in presence of high environmental noise, reverberation and interfering sources, in particular when a single channel is available. However, recent progresses in the use of deep learning for single channel speech enhancement and source separation has opened the way to a variety of novel solutions towards the development of robust and effective solutions for speaker diarization in such critical operational conditions. The goal of this studentship is to develop state-of-the-art solutions for speaker diarization, possibly using open source toolkits, such as theano or tensorflow, taking into account possible issues related to both the computational cost and the training size . The algorithms will be developed and tested on both publicly available datasets (i.e.santa barbara corpus) as well as on internal datasets of telephone recordings, comparing them with free tools currently available (e.g., ALIZE and LIUM). This research area is challenging and topical. If significant results will be achieved during the course of the studentship, there will be the possibility to publish them in top conferences and journals. Furthermore, since the speaker diarization module is strategic for improving the performance of speech recognition engines, there will be the opportunity of collaborating with important companies and labs operating in the field.

Scheduling and workload placement in a highly distributed and heterogeneous cloud environment (edge/fog)

Starting from the state of the art of scheduling mechanisms implemented in well known cloud and container related orchestrators (e.g. OpenStack, Mesos, Kubernetes), optimize them in the context of edge/fog environments where high distribution, heterogeneity, bandwidth and latency constraints should be taken into account.

DNN adaptation for acoustic modeling in speech recognition

DNNs are nowadays the state-of-the-art approach for acoustic models, able to provide results also in severe conditions that are often better than Gaussian Mixture Models (GMM) systems with various compensation strategies; nevertheless, although DNNs provide data representations usually invariant to some perturbations in the input features, there are scenarios where performance of a hybrid DNN-HMM (hidden Markov Model) system is significantly worse compared to the matched counterpart: for example in case of either distant-talking or children speech recognition. Therefore a large number of studies are addressing DNN adaptation for ASR, investigating various approaches such as linear transformations, regularization in DNN training, noise-aware or speaker-aware training and decoding. The work focus on methods for effectively adapting the DNN at hand (considering also recent architectures like CNN, RNN, LSTM), using a small set of adaptation data in supervised or unsupervised fashion. In particular, this latter modality calls for strategies capable to disregard or weigh the training samples in order to mitigate the impact of errors in the automatically generated transcriptions. Moreover, the studied adaptation techniques can be applied and evaluated in combination with other compensations methods according to the applicative scenario under analysis (e.g., signal enhancement in case of noisy conditions, feature transformation in case of spontaneous or children speech). This research area is challenging. If significant results will be achieved during the course of the studentship, there will be the possibility to publish them in top conferences and journals. Furthermore, there will be the opportunity of collaborating with important companies and labs operating in the field of ASR.

Predictive Process Monitoring – Investigating new application domains

Predictive process monitoring aims at predicting how a current ongoing case (logged in a process execution trace) will develop in the future by taking advantage of the history of past process executions. Different machine learning techniques have been applied and framework built so far in the literature for targeting this problem [1, 2, 3, 4, 5]. All these approaches have shown to provide excellent results in real-life scenarios, in which a set of traces, each describing the execution of a process as a sequence of activities and possibly data manipulated by these activities (as in the case of BPI Challenges) are available. By exploiting such a new and wide range of approaches developed within the BPM community, and in particular the framework described in [1,2], we would like to explore their applicability also in other domains. Purpose of this work is investigating whether and how state-of-the-art techniques and approaches can be applied to new domains and scenarios, such as Internet of Things (IoT) enabled predictive maintenance and domotics. Such a task poses different and interesting challenges:

Distributed Mobile Edge Computing in 5G Networks

Mobile Edge Computing (MEC) provides the ability of effectively process data related to 5G services (e.g. augmented reality, vehicle-to-vehicle communications) at the very edge of the mobile network, by relying on resources dynamically instantiated through solutions based on Software Defined Networking (SDN) and Network Function Virtualization (NFV). This environment is characterised by strict requirements in terms of performance, including latency, bandwidth and more. The scope of this studentshp is to combine radio access and transport networking solutions that, coupled with light storage and computing elements, will create a flexible environment for MEC.

Learning Semantic Constraints to Improve Automatic Test Input Generation for Grammar-based Systems

A grammar-based system (GBS) is a software application which performs computations on a highly-structured textual input. Compilers and interpreters of programming languages, such as Java or C#, are well-known examples of GBSs but many other types of applications are actually GBSs: html browsers, postscript rendering engines, SQL interpreters, to cite a few. Often the development process of a GBS is based on tools, such as Lex/Yacc and Antlr, which generate code from an annotated Context Free Grammar (CFG). Thus it is reasonable to assume that a CFG describing an over-approximation of the input strings accepted by a GBS exists. Many techniques were developed to randomly sample such over-approximating language. One of the main open challenges in test input generation for GBSs is how to deal with the set of semantic constraints not captured by CFG rules. The aim of this research internship is to investigate how the application of NLP and machine learning techniques, e.g. neural networks, can improve state-of-the-art sentence generators based on CFG.
Scientific Area: Software Engineering, Software Testing
Required Skills and knowledge: Solid Python programming skills; Basic knowledge of programming language compilers, and grammar-based system development tools, e.g. Antlr, Lex/Yacc, etc.
Competencies to be Acquired: Acquisition of advance knowledge and skills in Software Testing; Acquisition of knowledge and skills in NLP and Neural Network technologies; Contribution to the development of a state-of-the-art research-driven tool.