Università degli Studi dell'Insubria

Dipartimento di Scienze Teoriche e Applicate - DiSTA

Past Members

Naeimeh Laleh

Naeimeh Laleh

Naeimeh Laleh received her Ph.D. from the University of Insubria in September 2016, as a graduate of the STRICT social lab under the iSocial Marie Curie project with a focus on Privacy, Risk Analysis and Trust Management in Decentralize Social Networks (DOSN). She obtained her Bachelor degree in Computer Science from the School of Science and Engineering Islamic Azad University, IRAN and she received her Master’s in Information Technology (with a thesis entitled “Design and Prototyping a Fraud Detection System in Streaming Data with Emphasis on Minimizing False Alarms”) from IRAN University of Science and Technology (IUST).
She worked in companies developing core banking software to apply anomaly and fraud detection algorithms on bank transactions with a focus on fraud/anomaly detection on data warehouse – OLAP Cubes. Her main research interests are stream mining, Risk Analysis on Large Data set, Online Social Network Analysis, Distributed Graph Processing Algorithms for Fraud/Anomaly Detection, among others.

Leila Bahri

Leila Bahri

Leila Bahri received her Ph.D. from the University of Insubria in June 2016, as a graduate of the STRICT social lab. She has worked under the supervision and co-supervision of Prof. Ferrari and Prof. Carminati, respectively, as a fellow within the iSocial Marie Curie project. Prior to her Ph.D, she obtained both her Bachelor (in Computer Science with highest honor, 2008) and Master (in Software Engineering with a thesis on the implementation and adoption of ITIL in an academic IT department, 2011) degrees from Al Akhawayn University in Ifarne – AUI, Morocco. In 2009, she received a one year scholarship from the Japan Student Services Organization (JASSO), by which she performed research at a Robotics laboratory in Meijo University, Nagoya. In 2010, she received the Google University Excellence Award at her university. Her main current research interests are on access control, privacy preservation services, and transparency and accountability systems in social computing on different platforms.

Ngoc

Ngoc Hong Tran

Ngoc Hong Tran is an alumna of the STRICT Social Lab, receiving her doctoral degree in Computer Science in January 2016 from the university of Insubria. Her PhD thesis was about applied cryptography to achieve users privacy in different applications of the social web.

Ngoc obtained her BSc. degree in Information Technology and her MSc. degree in Computer Science from University of Science, Ho Chi Minh City – Vietnam National University (HCMC-VNU). She worked at the Telecommunication and Computer Network Department at HCMC-VNU and she was also a member of the FIT Security and the Cloud Grid research groups. Besides, she was a short-term researcher at National Informatics Institute, Tokyo, Japan in 2009 and at LAAS-CNRS, Toulouse, France in 2012. In 2010, she attended a scholar exchange program at Portland State University, USA. Her research interests are cryptography, privacy preserving in social network, mobile network, and cloud computing.

Cüneyt Gurcan Akçora

Cüneyt Gurcan Akçora

Cüneyt Gurcan Akçora is an alumnus of the STRICT Social Lab who worked under the supervision and co-supervision of professors Ferrari and Carminati respectively. He graduated from Insubria University with a PhD degree in Computer Science in January 2014 after three years of fruitful work at the lab. His PhD thesis was about profiling users interactions on Online Social Networks.

Cuneyt got his bachelor’s degree in Electrical & Electronics engineering from Karadeniz Technical University, Turkey and his Master’s degree as a Fulbright scholar from the State University of New York at Buffalo.

His research deals with understanding the reasons behind user interactions on social networks with applications in privacy and risk domains. Specifically, he focuses on Homophily and Heterophily theories from sociology research, and machine learning methods to understand why people interact on social networks.

During his PhD studies, he had the privilege of visiting and working with Francesco Bonchi at Yahoo! Research Barcelona and professor Murat Kantarcioglu at University of Texas at Dallas.

Michele Guglielmi

Michele Guglielmi

Michele Guglielmi is an alumnus of the STRICT Social Lab who worked under the supervision and co-supervision of professors Ferrari and Carminati respectively. He graduated from Insubria University with a PhD degree in Computer Science in January 2014 after three years of fruitful work at the lab. His PhD thesis was about managing access control under emergency situations.

Michele received the M.Sc degree (with first-class honors) in Computer Science from the University of Insubria with a thesis entitled “Critical State Based Intrusion Detection System For Industrial Communication Protocols” (written during a traineeship of one year at the Joint Research Centre (JRC), Ispra, Italy).

His overall research interests are related to privacy, security, access control, complex event processing, databases, data stream management systems, cryptography, cloud computing.

Marco Viviani

Marco Viviani

Marco Viviani was a postdoctoral researcher at the STRICT lab on topics connected to Trust Management in the Social Web.

He acquired the PhD in Informatics from the Università degli Studi di Milano in February 2008.

In 2009 he obtained a one-year postoctoral research fellow at the Université de Bourgogne / Le2i (Dijon, France).

In 2010 he obtained a two-year postoctoral research fellow at the Institut National des Sciences Appliquées / Liris (Lyon, France).

His main topics of interest include Trust Management, Trust and Reputation Systems, Social Network Analysis, User Modeling, Knowledge Extraction and Management, Distributed Systems, Fuzzy Logic. On these topics he has written several international publications.

Andrea Perego

Andrea Perego

Andrea Perego was a postdoctoral researcher at the STRICT lab.

Andrea’s research interests include semantic interoperability, multilingual thesauri, ontology design and Semantic Web technologies for government and research data. He is a member of the JRC team in charge of the technical coordination of the INSPIRE Directive of the EU, aiming to establish a harmonised data infrastructure at the European level, to give cross-border access to information that can be used to support EU environmental policies.