Dr. Benjamin Wilck is a postdoctoral Research Fellow at the Mandel School for Advanced Studies in the Humanities, Hebrew University of Jerusalem, and a graduate of the Humboldt-Universität zu Berlin (PhD 2022) and Princeton University. His work bridges ancient Greek philosophy, history/philosophy of mathematics, and digital medical humanities, with a focus on schizophrenia research through computational linguistics. He collaborates with Charité Medical University Berlin. His research explores the philosophical underpinnings of Euclid’s Elements , dialectical methods in Aristotle, and linguistic markers in psychiatric conditions. Recent work analyzes Robert Walser’s texts to identify schizophrenia through lexical diversity and syntactic complexity. Scientific Awards: De Gruyter Trends in Classics Poster Prize (2019) Finalist for the bologna.lab Teaching Award (2021) Karl-Max-Schneider Foundation Award (2014) His publications span metaphysical analysis of mathematical objects, Pyrrhonian scepticism, and interdisciplinary psychiatry. He co-organizes international conferences on mathematical cultures and science communication.
Professor George Weiss is a Professor of Control Engineering at the Department of Electrical Engineering - Systems, Faculty of Engineering, Tel Aviv University. He has been at Tel Aviv University since October 2007, following previous appointments at Imperial College London (1998-2007), Exeter University (1996-1998), Ben-Gurion University (1991-1996), and The Weizmann Institute (1991-1992). His research bridges theoretical foundations of control systems with practical applications in renewable energy integration and power electronics. Professor Weiss earned his PhD in Applied Mathematics from The Weizmann Institute of Science in Israel in 1989 and his MEng in Control and Computer Engineering from the Polytechnic Institute of Bucharest in 1981. His academic journey includes postdoctoral positions at Virginia Tech (1989-1991) and Brown University (1988-1989). His research focuses on distributed parameter systems, repetitive control, internal model based control, passive and conservative systems, control in power electronics, and grid integration of renewable energy. He is renowned for developing the concept of "synchronverters" with Qing-Chang Zhong, enabling grid integration of large renewable energy generators. His work spans theoretical mathematical control and practical industrial applications, with significant contributions to wave energy conversion and wind turbine vibration suppression. Analysis of his recent publications reveals a strong emphasis on renewable energy applications, particularly wind and wave energy systems, alongside fundamental theoretical work on well-posed systems and distributed parameter control. His research integrates mathematical rigor with practical engineering solutions for energy conversion systems. Professor Weiss has received substantial research funding including a 4M Euro "ConFlex" grant from the European Commission (as PI) and multiple grants from the Israel Science Foundation. His work has been supported by EPSRC, the Royal Society, and industry partners including MST, Coriolis, Solar Edge, Bioness, and Synvertec. He has supervised numerous PhD students who have gone on to prominent academic positions worldwide and serves as academic responsible for the Control Teaching Laboratory. His consulting work demonstrates the practical impact of his research across the renewable energy sector.
Dr. Renana Keydar is an Associate Professor of Law and Digital Humanities at The Hebrew University of Jerusalem, where she serves as Academic Director of the Center for Digital Humanities (DH@HU) and heads the Alfred Landecker Lab for Computational Analysis of Holocaust Testimonies. She holds additional affiliations as a 2024-25 Fellow at Brandeis University's Institute for Advanced Israel Studies and is a core member of Edut 710, Israel's largest civil initiative documenting survivor testimonies of the October 7, 2023 attacks. Her academic credentials include a PhD in Comparative Literature from Stanford University (2015), and magna cum laude degrees in Law and Political Science from Tel Aviv University (2003). Prior to academia, she served as an advocate in Israel's State Attorney's Office - High Court of Justice Department. Keydar's pioneering research bridges computational methods with humanities scholarship, focusing on: Developing AI models for analyzing mass atrocity testimonies using NLP and machine learning Creating trauma-informed digital archives for Holocaust and contemporary crisis documentation Computational analysis of legal narratives in human rights law and international courts Ethical frameworks for applying AI to sensitive historical materials Her scholarly output demonstrates consistent focus on computational jurisprudence, with recent works examining algorithmic analysis of UN human rights recommendations, judicial attitudes toward sexual violence victims, and computational models for Holocaust testimony. Keydar has received the prestigious Alon Fellowship for outstanding young researchers and leads multiple major initiatives: Designing Edut 710's AI-powered testimony platform documenting 1,600+ accounts from October 7 attacks Developing 'distant listening' computational methods for Holocaust testimonies Directing the Future of the Past research group funded by Israel's Ministry of Science
Michael London is an Associate Professor at The Hebrew University of Jerusalem's Edmond and Lily Safra Center for Brain Sciences. His research focuses on the interface between biophysical properties of neurons and information encoding, particularly nonlinear dendritic processes and neuronal noise effects. Key projects involve studying sensory systems (mouse barrel cortex) and self-generated activity (ultrasonic vocalization circuits). Techniques include patch-clamp, two-photon imaging, optogenetics, and computational modeling. Notable collaborations include work on cortical interneurons with Idan Segev and studies of adrenergic modulation with Inbal Goshen. His lab has published extensively on topics like neural coding dynamics, circuit function, and neuron-network interactions. He advises a team of ~9 PhD students and postdocs, focusing on experimental/theoretical integration. Laboratory location: Goodman Brain Sciences Building, Level 1, Room 2103. Active in neuroscience education through ELSC's PhD program and summer internships. Maintains an open-source lab website at www.mikilon.org with research tools and datasets.
Prof. Aya Meltzer-Asscher is an Associate Professor at the Department of Linguistics and the Sagol School of Neuroscience at Tel Aviv University. Her research focuses on real-time sentence processing, integrating behavioral and electrophysiological methods to study how humans process lexical-semantic and syntactic aspects of language, with a particular emphasis on Hebrew. She leads the Sentence Processing Lab, investigating how grammar shapes processing strategies and employs tools like ERP and fMRI. Education: Ph.D. in Linguistics, Tel Aviv University (2005–2010), supervised by Prof. Tal Siloni and Prof. Julia Horvath. M.A. in Linguistics, Tel Aviv University (2003–2004). B.A. in Computer Science and Linguistics, Tel Aviv University (1999–2002). Research Interests: Sentence processing, psycholinguistics, neurolinguistics, syntax-semantics interface, Hebrew syntax, aphasia, and neurocognitive mechanisms of language. Her work bridges theoretical linguistics with experimental and clinical approaches, exploring how grammatical structures influence real-time comprehension and production. Publications: Over 20 peer-reviewed articles in journals like Language, Cognition and Neuroscience , Journal of Cognitive Neuroscience , and Brain & Language . Her research highlights topics such as predictive processing, working memory in syntax, and neuroimaging of argument structure. Labs & Affiliations: Director of the Sentence Processing Lab , affiliated with the Sagol School of Neuroscience. Collaborates internationally on projects involving electrophysiology and neuroimaging.
Erez Petrank is a Professor at the Department of Computer Science , Technion - Israel Institute of Technology , where he holds the Andrew and Erna Viterbi Chair. His research focuses on concurrent computing , programming languages , and systems with an emphasis on memory management . Additional interests include parallelism , cryptography , data structures , approximation algorithms , and distributed computing . Research Trends Recent publications highlight his work on safe memory reclamation (ERA Theorem, VBR), lock-free data structures (queues, stacks, B+ Trees), and persistent memory algorithms (NVTraverse, Mirror). These works span concurrent computing , distributed systems , and memory efficiency in multi-threaded environments. Scientific Awards Distinguished Paper Award at Euro-Par 2015 Contact Information Email: erez@cs.technion.ac.il Office: Taub 528, Technion Phone: +972-73-378-4942
Michael Elad is a Professor of Computer Science at the Technion - Israel Institute of Technology, where he has held a permanent faculty position since 2003. He also holds a courtesy appointment in the Technion's Electrical & Computer Engineering Department. Elad received his B.Sc. (1986), M.Sc. (1988) and D.Sc. (1997) in Electrical Engineering from the Technion, followed by a research associate position at Stanford University (2001-2003). His educational background includes: B.Sc. in Electrical Engineering from the Technion (1986) M.Sc. in Electrical Engineering from the Technion (1988), focusing on video compression algorithms under Prof. David Malah D.Sc. in Electrical Engineering from the Technion (1997), focusing on super-resolution algorithms for image sequences under Prof. Arie Feuer Michael Elad's research spans signal and image processing and machine learning, with specialization in inverse problems, sparse representations, deep learning, and generative models. He is particularly renowned for his work on sparse representations, having created the influential K-SVD algorithm together with Michal Aharon and Bruckstein. His 2010 book "Sparse and Redundant Representations: From Theory to Applications in Signal and Image Processing" is a leading publication in this field. Elad has also made significant contributions to diffusion models and generative AI, applying these concepts to solve complex problems in signal and image processing. His extensive publication record shows a clear evolution from foundational work on sparse representations to more recent applications in deep learning and generative models. While his early work focused on theoretical aspects of sparse coding and dictionary learning, his more recent publications demonstrate an integration of these concepts with modern deep learning techniques, particularly in the areas of image restoration, super-resolution, and generative modeling. Elad's scientific achievements have been recognized with numerous awards: Rothschild Prize in Engineering (2024) Member of the Israel Academy of Sciences and Humanities (2024) Weizmann Award for contributions in Sparse Modeling (2021) IEEE SPS Sustained Impact Paper Award (2018) IEEE SPS Best Paper Award (2018) IEEE SPS Technical Achievement Award (2018) Fellow of the Society for Industrial and Applied Mathematics (SIAM Fellow) (2018) IEEE Fellow (2012) ERC advanced grant (2013) Throughout his career, Elad has been actively involved in academic service and mentorship. He has served as an Associate Editor for several prestigious journals including IEEE Transactions on Image Processing, IEEE Transactions on Information Theory, and Applied Computational Harmonic Analysis. From 2016 to 2021, he was the Editor-in-Chief for SIAM Imaging Sciences. He has advised numerous students, including Michal Aharon and Yaniv Romano. Elad also headed the Rothschild-Technion Program for Excellence from 2015 to 2018, an undergraduate program for exceptional students. Elad maintains an active research laboratory at the Technion focused on advancing the theory and applications of sparse representations, deep learning, and generative models in signal and image processing. His team continues to push the boundaries of what's possible in image restoration, super-resolution, and other inverse problems in imaging.
Nathan (Nati) Linial is a Professor at the School of Computer Science and Engineering at The Hebrew University of Jerusalem, where he has maintained a distinguished academic career spanning several decades. His research bridges multiple mathematical disciplines with theoretical computer science. Linial's primary research interests encompass Combinatorics, Theory of Algorithms, Geometry, Analysis, and Computational Molecular Biology . His work often explores the deep connections between discrete mathematics and computer science, particularly focusing on high-dimensional combinatorial structures, metric embeddings, and their algorithmic applications. His publication record demonstrates consistent contributions across decades, with recent work focusing on high-dimensional permutations, simplicial complexes, graph theory, and coding theory. Linial has developed significant theoretical frameworks for understanding complex combinatorial structures and their geometric representations. Among his notable achievements is being named an AMS Fellow and receiving the 2008 Conant Prize for the influential survey paper "Expander graphs and their applications" co-authored with S. Hoory and A. Wigderson. His research has shaped multiple areas of theoretical computer science and discrete mathematics. Linial has served on the editorial boards of prestigious journals including Israel Journal of Mathematics (where he was Chief Editor 2013-2017), Random Structures and Algorithms , and Combinatorica . He has supervised numerous students throughout his career and maintains active research collaborations worldwide.
Prof. Alex Bronstein is a Professor at the Henry and Marilyn Taub Department of Computer Science, Technion – Israel Institute of Technology, where he holds the Dan Broida Academic Chair and heads the VISTA Lab and the Center for Intelligent Systems. He concurrently serves as a Visiting Professor at the Austrian Institute of Science and Technology. His research spans computer vision, machine learning, computational geometry, signal processing, and bioinformatics, with a focus on geometric data analysis and AI applications in science. He has held significant industry roles including Principal Engineer at Intel Corporation, co-founding startups such as Invision (acquired by Intel), VideoCites, and Sibylla. His work bridges academia and industry, emphasizing practical applications of theoretical insights. Research interests include foundational AI models for molecular biology, robust machine learning systems, and interdisciplinary applications in healthcare and robotics. Notable projects include protein structure prediction using AlphaFold integration, adversarial robustness frameworks, and medical imaging innovations like T1-PILOT for MRI acceleration. He actively collaborates with global institutions, maintaining labs in Haifa, Vienna, and Sardinia. Recent publications highlight advancements in quantum computing simulations, wearable health monitoring systems, and AI-driven biomedical solutions. While no explicit awards are listed, his leadership roles and industry impact underscore significant contributions to computational science. He mentors graduate students in his VISTA Lab, focusing on cutting-edge projects in AI, computer vision, and computational chemistry.
Prof. Yonatan Sivan is a Professor at the School of Electrical & Computer Engineering, Ben-Gurion University. His research focuses on nanophotonics, plasmonics, and electromagnetism, with particular emphasis on thermal and non-thermal effects in metallic systems. Key areas include plasmon-assisted photocatalysis, electron non-equilibrium dynamics, and numerical methods for nanophotonic systems. He advises multiple PhD and MSc students, including current candidates like Tamir Grossinger and Ben Spiegel, and collaborates internationally (e.g., with South China Normal University and UC Berkeley). Education details are not explicitly stated, but his work spans theoretical and experimental domains, integrating advanced numerical techniques with experimental validation. Notable contributions include redefining plasmonic photocatalytic mechanisms through thermal/non-thermal analysis and pioneering modal expansion methods for open optical systems. Research interests are organized into thematic clusters: Thermo-plasmonics, Drude materials, metal luminescence, thermal emission, and numerical methods. His work often involves interdisciplinary collaborations, addressing both fundamental physics and applied nanotechnology challenges. Publications span high-impact journals like ACS Catalysis , Nano Letters , and Physical Review Applied , with a focus on experimental validation and theoretical modeling. He also contributes to teaching courses on plasmonics, metamaterials, and wave propagation. Current group members include Dr. Imon Kalyan and Sravya Rao, while past members hold positions at institutions like UC Berkeley and KLA Tencor. His lab focuses on advancing nanophotonic technologies through rigorous computational and experimental frameworks.
Prof. Ori Weisel is a Senior Lecturer in Organizational Behavior at the Coller School of Management, Tel Aviv University. His research focuses on cooperation dynamics, intergroup conflict, and unethical behavior in collaborative settings. He holds a PhD in Social Psychology from the Hebrew University of Jerusalem (2011), followed by postdoctoral fellowships at the Max Planck Institute for Economics (2011-2013) and University of Nottingham's CeDEx (2013-2016). Key research areas include: Intergroup conflict mechanisms Collaborative corruption origins Moral judgment in groups Social value orientations His work bridges experimental economics with social psychology, examining topics like vaccination social contracts, oxytocin's role in altruism, and dishonesty in teams. Over 30 peer-reviewed articles span journals like PNAS, Nature Communications, and European Economic Review. Education: PhD Social Psychology & Rationality, Hebrew University (2011) MA Cognitive Science, Hebrew University (2005) BA Computer Science & Humanities, Tel Aviv University (2002) His research consistently explores how group dynamics influence ethical behavior, with recent focus on pandemic-related social contracts and moral licensing effects in collaborative settings.
Liron Cohen is an Assistant Professor at the Department of Computer Science , Ben-Gurion University , Israel. He earned his PhD at Tel Aviv University under Arnon Avron and was a Fulbright postdoctoral researcher at Cornell University hosted by Robert Constable. Currently on sabbatical at Cornell during 2024-2025, his research focuses on connections between proofs, computation, and mathematics. Education: PhD (Tel Aviv University), MSc (Tel Aviv University) Research Interests Cohen's work bridges logic, type theory, and computational mathematics. Key areas include: Type systems and computational models Theorem proving and automated reasoning Constructive and intuitionistic logic Effectful computation Cyclic proof systems Formal verification Scientific Awards Pazy Memorial Research Award ETAPS Distinguished Paper Award ETAPS Distinguished Artifact Award
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.
Professor Eli Ben-Sasson is affiliated with the Computer Science Department at Technion - Israel Institute of Technology , where his research focuses on theoretical computer science and computational complexity. His work explores the mathematical foundations of computation. His research interests include: Theoretical Computer Science (TCS) Computational Complexity Contact details: Email: eli@cs.technion.ac.il Office: +972-4-8294892 Location: Technion City, Haifa 32000, Israel
Yuval Ishai is a Professor in the Computer Science Department at the Technion , with a primary focus on theoretical computer science and cryptography .
