Zvi Lotker is a Lecturer in the Department of Communication Systems Engineering at Ben-Gurion University. His research focuses on computer networks, distributed systems, and mobile/wireless computing. Education: Ph.D. in Electrical Engineering (2003), Tel-Aviv University, Israel. Dissertation: Algorithms in Networks under Prof. Boaz Patt-Shamir. M.Sc. in Mathematics (1998), Tel Aviv University. Thesis: On the d distance between iid and Markov process under Prof. Meir Smordinsky. B.Sc. in Mathematics & Computer Science (1991), Ben-Gurion University. B.Sc. in Industrial Engineering (Information Systems track, 1991), Ben-Gurion University. No scientific awards, grants, or advised students are listed in the provided information.
Miri I. Barak is a Professor at the Technion - Israel Institute of Technology in Haifa, Israel. Her research focuses on innovative thinking , technology-enhanced learning , and project-based education , with a strong emphasis on science education and massive open online courses (MOOCs) . She has developed tools like the Flexible Thinking in Learning (FTL) scale and platforms such as Wandering and AugmentedWorld to promote interactive and location-based learning. Key Research Areas: Innovative thinking in hybrid/online environments Flexible thinking and adaptability in education Impact of cultural background on learning outcomes Design of educational games and escape rooms Motivation in MOOCs and language effects Her recent work explores AI ethics education and educational escape games for nutrition and science engagement. She has published extensively in journals like Computers & Education and Thinking Skills and Creativity , addressing topics such as team diversity, self-regulation, and knowledge-sharing systems like MOSAICA . No scientific awards or student advising details were explicitly mentioned in the provided texts.
Dr. Tamar Berenblum serves as Research Director of the Federmann Cyber Security Research Center – Cyber Law Program at the Hebrew University of Jerusalem's Faculty of Law. She concurrently holds Post-Doctoral Research Fellow positions at the Netherlands Institute for the Study of Crime and Law Enforcement (NSCR), the Rachel and Selim Benin School of Computer Science and Engineering (Hebrew University), and the Center for Cyber Law & Policy at Haifa University (CCLP). Her research expertise spans victimology , sociology of knowledge , cybercrime , online social control , and digital rights , rooted in her doctoral thesis The Internet as a Sphere of Social Control which examines cyberspace as both a domain and tool for social control over deviant activities. Current projects investigate deterrence mechanisms, online-shaming phenomena, language accessibility in legal proceedings, and juvenile cyber-delinquency. Analysis of her publications reveals consistent focus on human-centered cybersecurity challenges, with recurring themes in ransomware mitigation ( Security Vaccination ), hacking network topology ( Hackers Topology Matter Geography ), and digital justice dynamics ( Viral Justice and E-shaming ). Her methodological approach blends criminological theory with computational analysis of real-world cyber incidents. Beyond research, Berenblum serves as a public representative in Parole Committees of the Court Administration and contributes to policy discussions through the Cyber Law Program's regulatory work on computer crime prevention and IoT security standards.
Oren Tsur is an Assistant Professor in the Department of Software & Information Systems Engineering (SISE) at Ben Gurion University of the Negev, where he heads the NLP and Social Dynamics Lab (NAS-LAB) and directs the Center for the Study of Digital Politics and Strategy (DPS@BGU). He joined the university in September 2017 and teaches core courses including Natural Language Processing, Social Network Analysis, and Introduction to NLP at both undergraduate and graduate levels. His research focuses on computational modeling of social dynamics through language and network analysis. Key interests include social contagion, language evolution, political network analysis, and sentiment analysis. He employs methodologies from exponential random graph models (ERGM), machine learning, and natural language processing to study how language shapes and is shaped by social interactions, particularly in political contexts and online communities. His publication trends reveal strong interdisciplinary work spanning computational linguistics, political science, and social network analysis. Recent research emphasizes hate speech detection in platforms like Parler, suicide risk identification in counseling services, and modeling semantic drift in emoji usage. His work consistently bridges technical NLP innovations with real-world social applications, particularly in political discourse and community dynamics. NSF Political Network Fellowship (2014, 2015, 2016) TIME Magazine's 50 Best Inventions of 2010 for sarcasm detection research Work featured in Science Magazine, BBC, The Atlantic, CNET, and Politico Best Paper award at HICSS 2020 Tsur actively mentors prospective students through his lab, emphasizing excellence in candidates through academic transcripts and research interest statements. His grants include multiple NSF Political Network Fellowships supporting computational social science research. He serves as Director of BGU's Cyber Politics and Policy Research Center and organizes major NLP workshops including the Natural Language Processing and Computational Social Science series at top conferences. His NAS-LAB focuses on data-driven modeling of social coordination and influence, with applications in sentiment analysis, dialogue systems, and digital forensics. The lab maintains strong industry connections through past collaborations with IBM Research (Watson Debater project), Yahoo! Research, and startup consulting.
Associate Professor Tamir Hazan is a faculty member at Technion - Israel Institute of Technology, where he joined in 2015. His research focuses on theoretical and practical aspects of machine learning, with applications spanning computer vision, natural language processing, and computational biology. His work bridges mathematical foundations with real-world problem solving in complex systems. Professor Hazan received his Ph.D. from the Hebrew University in 2009. His academic trajectory has established him as a leading researcher in machine learning theory and its applications, with a particular emphasis on developing mathematically rigorous approaches to modern AI challenges. Professor Hazan's research centers on mathematically founded solutions to problems demonstrating non-traditional statistical behavior. His work encompasses perturbation models for efficient learning of high-dimensional statistics, deep learning of infinite networks, and primal-dual optimization for high-dimensional inference problems. His research program spans three major interconnected areas: attention models that improve prediction interpretability, perturbation frameworks that integrate optimization and sampling through extreme value statistics, and convex duality approaches to message-passing in graphical models. His work demonstrates both theoretical depth and practical relevance across multiple domains. Analysis of Professor Hazan's recent publications reveals an evolving research trajectory with increasing emphasis on interpretable machine learning, causal modeling, and applications in medical imaging and behavioral science. His work consistently bridges theoretical foundations with practical implementations, with recent publications showing strong connections between perturbation theory, attention mechanisms, and optimization frameworks. The interdisciplinary nature of his research is evident in applications ranging from pedestrian navigation using smartphone sensors to video-text matching systems and medical image analysis. Professor Hazan has mentored numerous students throughout his career, including: Alex Schwing, now Assistant Professor at UIUC Alon Cohen, now Associate Professor at Tel Aviv University Idan Schwartz, currently Postdoc at Tel Aviv University Current Ph.D. students: Guy Lorberbom, Itai Gat, and Hedda Cohen Multiple M.Sc. students including Adi Manos, Ram Yazdi, and others Professor Hazan's research group maintains an active program with several key focus areas: Attention models for interpretable and improved prediction processes in visual question answering and multimodal applications Perturbation models that enable efficient statistical reasoning in complex systems with exponential configuration spaces Markov random fields, convex duality, and message-passing algorithms for structured prediction and distributed computing
