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Aryeh KontorovichView profile

Professor

• Theoretical Machine Learning
• Probability
• Statistics
• +4 more

Aryeh Kontorovich is a Professor in the Computer Science Department at Ben-Gurion University. His research primarily focuses on theoretical machine learning, with expertise in probability, statistics, Markov chains, and metric spaces. His research interests span theoretical machine learning, with particular emphasis on: Probability theory and concentration inequalities Statistical learning theory Markov chains and mixing time estimation Metric space learning Kernel methods Sample compression schemes Professor Kontorovich's recent publications (2021-2025) demonstrate a continued focus on theoretical foundations of machine learning. His work shows strong trends in statistical estimation for Markov processes, distribution learning, metric space analysis, and sample compression. Many papers explore the intersection of probability theory and machine learning, particularly examining concentration inequalities, minimax optimality, and theoretical guarantees for learning algorithms. His research consistently bridges abstract mathematical theory with practical machine learning applications. Scientific awards and recognitions: Distinguished contribution award at MLG 2007 for "A Universal Kernel for Learning Regular Languages" Professor Kontorovich has advised numerous students and collaborated extensively with researchers in theoretical machine learning. His work spans both theoretical foundations and practical applications, with significant contributions to understanding the mathematical limits of learning algorithms. While specific grant information isn't provided in the source material, his extensive publication record in top venues suggests successful funding for his research programs. He maintains active collaborations with researchers worldwide, including prominent names like L. Gottlieb, D. Berend, and S. Hanneke.

Omri AbendView profile

Associate Professor

• Computational Linguistics
• Natural Language Processing
• Semantic Representation
• +9 more

Omri Abend is an Associate Professor at The Hebrew University of Jerusalem, affiliated with the School of Computer Science and Engineering and serving as Chair of the Department of Cognitive and Brain Sciences. His research lies at the intersection of Computational Linguistics, Natural Language Processing, and Cognitive Science, with a focus on semantic representation and language acquisition modeling. His primary research interests include: Computational modeling of child language acquisition Semantic representation frameworks, particularly Universal Conceptual Cognitive Annotation (UCCA) Statistical learning and machine translation Unsupervised grammar learning and lexical relation induction Cross-lingual and cross-domain alignment in language models Evaluation methodologies for NLP systems His recent publications demonstrate a strong trend toward analyzing large language models (LLMs), exploring human-like patterns in AI, improving evaluation metrics, and applying NLP to humanitarian domains such as Holocaust testimony analysis. His work combines theoretical linguistic insights with practical machine learning applications. Scientific awards include: Outstanding Paper Award at ACL 2017 Area Chair Award for Best Paper in the Track at ACL 2023 He has supervised and collaborated with numerous researchers and students across projects in semantic parsing, machine translation, and cognitive modeling. His work has been supported by community-wide initiatives such as the MRP shared tasks, which he co-organized. He also leads research on ethical AI, open human feedback, and the computational analysis of historical narratives. Omri Abend leads several research teams focused on: The development and application of the UCCA framework for semantic annotation Cross-lingual and cross-domain knowledge representation in LLMs Computational modeling of language acquisition Evaluation and improvement of NLP systems Application of NLP to digital humanities and historical testimony analysis

Jonathan KahanaView profile

Researcher

• Machine Learning
• Computer Vision
• Representation Learning
• +5 more

Jonathan Kahana is a Researcher in the Computer Science department at the Hebrew University of Jerusalem . His research spans Machine Learning and Computer Vision , focusing on Weight Space Learning , Representation Learning , and Zero-Shot Model Search . He develops methods for probing neural network weights to extract information, including ProbeGen and Spectral DeTuning . His recent work includes mapping model weights into shared embedding spaces (ProbeX), recovering pre-fine-tuning weights of generative models, and improving zero-shot labeling with distribution priors. He contributes to open-source implementations, such as the ProbeGen GitHub repository. Research trends from his publications emphasize: Weight space analysis (ProbeGen, DSiRe) Model retrieval and classification (ProbeLog, Model Atlas) Disentanglement and invariance (Contrastive Objective, Red PANDA) Efficiency in probing (30-1,000x FLOPs reduction in ProbeGen) His work has been accepted at top-tier conferences including ICML , ICLR , and ECCV , with arXiv preprints covering topics like dataset size recovery and model tree analysis.

Roni KatzirView profile

Professor

• Formal Semantics
• Computational Linguistics
• Linguistic Theory
• +7 more

Prof. Roni Katzir is a faculty member in the Department of Linguistics at Tel Aviv University, affiliated with the School of Languages. He specializes in formal semantics, computational linguistics, and linguistic theory, with a focus on grammar induction, neural networks, and Minimum Description Length principles. His research integrates theoretical linguistics with cognitive science, exploring topics like large language models (LLMs), scalar implicatures, and phonological learning. He collaborates extensively with researchers such as Nur Lan, Emmanuel Chemla, and Danny Fox, contributing to venues like Linguistic Inquiry , Natural Language Semantics , and ACL conferences. Education details are not explicitly listed, but his work reflects advanced expertise in linguistics and computational methods. Research interests emphasize cognitive plausibility in grammar learning, communicative stability, and the application of computational models to linguistic theory. Publications span over two decades, with recent focus on LLMs' implications for linguistic cognition, neural network generalization, and MDL-based frameworks. His work bridges formal semantics, syntax, and phonology, addressing challenges in language learning and processing. Prof. Katzir's contributions include pioneering the use of Minimum Description Length in linguistic learning models and advancing understanding of logical operators' typological distribution. He maintains an active research lab and collaborates internationally, as evidenced by his co-authored works and conference presentations.

Ido DaganView profile

Professor

• Natural Language Processing
• Textual Entailment
• Semantic Representation
• +5 more

Ido Dagan is a Professor at the Department of Computer Science at Bar-Ilan University , Israel, and founder of the Natural Language Processing (NLP) Lab . He is a Fellow of the Association for Computational Linguistics and served as ACL President (2010) and Executive Committee member (2008–2011), leading the establishment of Transactions of the Association for Computational Linguistics . Dagan’s research focuses on applied semantic processing , including textual entailment , natural semantic representation , multi-text information consolidation , and interactive text summarization . His recent work addresses attributable text generation , summary-source alignment , and cross-sentence argument detection , with applications to fact verification and hallucination detection. Key trends in his publications include cross-document coreference resolution , question-answering systems , semantic parsing , and interactive summarization . Notable collaborative projects involve UI trajectory analysis and long-context QA with Arman Cohan and Jacob Goldberger. Scientific Awards Fellow, Association for Computational Linguistics (ACL) President, ACL (2010) Executive Committee, ACL (2008–2011) Advising & Collaborations Dagan has supervised numerous PhD, MSc, and postdoctoral students since 1997, including Shachar Mirkin and Shmuel Amar . He collaborates with researchers like Ori Ernst , Avi Caciularu , and Aviv Slobodkin , with grants from institutions like IBM Haifa Scientific Center and AT&T Bell Laboratories .

Eran TreisterView profile

Assistant Professor

• Computational Science
• Scientific Computing
• Numerical Methods
• +8 more

Eran Treister is an Assistant Professor at the Ben Gurion University of the Negev in the Department of Computer Science. He completed his postdoctoral fellowship at the University of British Columbia (2014-2016) and earned his PhD from the Technion in 2014 under Prof. Irad Yavneh. His research spans computational science, numerical methods, and machine learning, with a focus on: Scalable algorithms for inverse problems Graph Neural Networks (GNNs) optimization Seismic and optical imaging via PDE solvers Low-precision deep learning acceleration Multilevel preconditioning techniques Recent work explores: Graph neural networks for PDEs with adaptive meshes Deep learning approaches to Helmholtz equation modeling 3D shape reconstruction via parametric level sets He serves on editorial boards: SIAM Journal on Scientific Computing (2024-) Copper Mountain Conference on Multigrid Methods (2025) International Conference on Machine Learning (ICML) as Area Chair (2025) Current teaching: Optimization Methods for Data Science (Spring 2025) Deep Learning Mini-Project (Winter 2024/5) Advanced Numerical Optimization (Spring 2025)

Hila PelegView profile

Assistant Professor

• Programming Languages
• Software Engineering
• Human-Computer Interaction
• +7 more

Hila Peleg is an Assistant Professor in the Department of Computer Science at the Technion – Israel Institute of Technology, where she co-leads the TecSE lab with Prof. Shachar Itzhaky. Her research lies at the intersection of Programming Languages, Software Engineering, and Human-Computer Interaction, focusing on program synthesis and interactive developer tools. Her research interests center on creating intelligent, theory-driven tools that enhance programmer productivity and correctness. She explores interaction models that integrate formal methods like separation logic into practical synthesis systems, enabling more versatile and reliable code generation. Her work spans both foundational models and real-world applications, from web layout synthesis to computational crafting. The trend in her recent publications shows a strong focus on interactive and practical program synthesis, blending formal verification with user-centered design. She investigates how synthesis can be made more usable through live programming, best-effort results, co-design of tools and languages, and integration with developer workflows. Her work increasingly emphasizes the human aspect of programming tools. Distinguished Paper Award, PLDI 2021 Distinguished Artifact Award, SPLASH 2020 Hila Peleg advises multiple graduate students, including PhD and MSc candidates, and leads the ERC-funded EXPLOSYN project, which supports advanced research in program synthesis. She has taught advanced courses such as User-Centered Programming Tools and seminars in programming languages, and is actively involved in the academic community through conference service and organization. She is a core member of the TecSE lab, which focuses on advancing software engineering through programming language theory and interactive systems. The lab fosters interdisciplinary research at the boundary of formal methods and human-centered tool design.

Uri GabbayView profile

Associate Professor

• Assyriology
• Sumerian Language
• Akkadian Language
• +7 more

Prof. Uri Gabbay is an Associate Professor of Assyriology at the Hebrew University of Jerusalem , affiliated with the Department of Archaeology and Ancient Near East . His expertise spans Sumerian and Akkadian languages, with a focus on temple rituals and scholarly texts from the first millennium BCE. Teaches Sumerian, Akkadian, and courses on ancient Mesopotamian history/religion Leads the AMPS Project on Mesopotamian priestly scholasticism Active in the Electronic Babylonian Literature (eBL) project Research Highlights: Specializes in Emesal prayers, Akkadian commentaries, and ritual textual transmission. Key publications include studies on the Late Babylonian ‘Ancient Sumerian’ series and the theology of Mesopotamian kettledrums. Recent Publications span topics like Sumerian laments, Balaĝ compositions, and Ur III administrative tablets. Collaborates extensively with researchers such as Luděk Vacín and Enrique Jiménez. Contact: Email - gabbay.uri@mail.huji.ac.il | Office - Institute of Archaeology, Mount Scopus, Jerusalem

Shlomo HavlinView profile

Professor

• Statistical physics
• Statistical properties of polymers and random walks
• Physics of disordered systems and fractals, optimization
• +14 more

Shlomo Havlin is a Professor in the Department of Physics at Bar-Ilan University, Israel. He specializes in statistical physics and its applications to complex systems, including infrastructure resilience, climate networks, and epidemic dynamics. His research spans interdependent networks, traffic congestion modeling, and the physics of disordered systems. Research Interests: Statistical physics Complex networks Interdependent networks Cascading failures Climate networks Science of Science Awards: Lilienfeld Prize (American Physical Society) Rothschild Prize Order of the Star of Italy Israel Prize for Physics and Chemistry 2023 Bakhuis Rooseboom Medal With over 800 publications and 100,000 citations (h-index 150), Havlin’s work bridges theoretical physics and real-world systems like urban traffic and medical networks. His research emphasizes interdisciplinary collaboration, focusing on resilience in interconnected infrastructures and societal challenges.

Eran YahavView profile

Professor

• Programming Languages
• Software Engineering
• Program Analysis
• +12 more

Eran Yahav is a Professor in the Computer Science Department at the Technion, Israel Institute of Technology, and serves as CTO at Tabnine. His research bridges programming languages, software engineering, program analysis, and machine learning, focusing on program synthesis, verification, and code intelligence. Research Interests: His work spans program synthesis , abstract interpretation , verification of concurrent systems , binary analysis , and AI for code . He leads the PRIME project, which uses machine learning and static analysis to enable programming with millions of examples, improving code completion, search, and prediction. The recent publications reflect a strong trend toward integrating neural models with program analysis—using structured representations of code (e.g., AST paths) for property prediction, generating sequences from code (code2seq), learning distributed representations (code2vec), and interpreting neural networks via automata extraction. His work consistently appears in top-tier venues such as POPL, PLDI, ICSE, OOPSLA, and ICLR. Scientific Awards: Best paper award at ISSTA'07 Best paper award at ISSTA'06 Advising and Grants: He has advised numerous PhD and Master’s students, many of whom have published in premier conferences and now hold academic or industry positions. While specific grants are not mentioned, his sustained high-impact research and leadership in major projects (e.g., PRIME, Fender, SAFE) imply significant funding support. He has served on program committees for PLDI, POPL, CAV, OOPSLA, and VMCAI, reflecting his standing in the programming languages and verification communities. Labs and Teams: He leads a research group focused on program analysis and synthesis, with strong collaborations, particularly with Martin Vechev and others, on concurrency, synthesis, and machine learning for code. The group has developed influential tools such as PRIME, code2seq, code2vec, TRACY, and SAFE.

Roi ReichartView profile

Professor

• Artificial Intelligence
• Cognitive Science
• Digital Healthcare
• +4 more

Roi Reichart is a Professor at the Faculty of Data and Decision Sciences, Technion - Israel Institute of Technology, where he directs the Natural Language Processing (NLP) research group. He holds the Schmidt Career Advancement Chair in Artificial Intelligence and serves as Co-editor in Chief of the Transactions of the Association for Computational Linguistics (TACL) . His research focuses on robust and sample-efficient NLP methods, causality, and multi-modal learning integration with applications in neuroscience, mental health, and digital healthcare. Artificial Intelligence Cognitive Science Digital Healthcare Machine Learning Natural Language Processing Multi-modal Learning Reichart actively collaborates with industry as a chief scientist and consultant, including roles at suridata.ai (acquired by Fortinet), Yahoo!, Gong.io, and Meta. He also co-edits a special issue on AI in Alzheimer’s disease research in the DADM journal. Scientific awards include: Senior Area Chair Best Paper Award (NNACL 2025) ELLIS Fellowship

Miri I. BarakView profile

Professor

• Innovative Thinking and Project-Based Learning
• Technology-Enhanced Learning
• Science Education
• +7 more

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.

Renana KeydarView profile

Associate Professor

• Digital Humanities
• Computational Text Analysis
• Holocaust Studies
• +5 more

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

Alex BronsteinView profile

Professor

• Computer Vision
• Machine Learning
• Signal Processing
• +5 more

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.

Liron CohenView profile

Assistant Professor

• Type Systems
• Computational Models
• Theorem Proving
• +6 more

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