Prof. Yair Weiss is a faculty member at the School of Computer Science and Engineering, The Hebrew University of Jerusalem . He holds a PhD in Brain and Cognitive Sciences from MIT and an MSC in Applied Mathematics from Tel-Aviv University. Education: MSc in Applied Mathematics, Tel-Aviv University (1993) PhD in Brain and Cognitive Sciences, MIT (1998) His research focuses on Human and Machine Vision , Machine Learning , Bayesian Methods , and Neural Computation . Recent work explores adversarial examples, generative models, and robustness in neural networks. Recent publications highlight trends in: Understanding neural network representations Advancements in GANs and adversarial training Image restoration and translation techniques Perceptual distance modeling Bayesian approaches to computer vision Mathematical analysis of deep learning architectures
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.
Shie Mannor is a Professor at the Technion - Israel Institute of Technology in the Department of Electrical Engineering. He also holds a visiting professorship at Cornell-Tech in New York City and is affiliated with the Technion Machine Learning Center and the Grand Technion Energy Program . Key Research Interests: Machine Learning: Theory, algorithms, and applications to high-dimensional data and dynamics modeling. Reinforcement Learning and Markov Decision Processes: Adaptive control in large stochastic systems. Learning and control under uncertainty: Robust/stochastic optimization frameworks. Game Theory: Stochastic, dynamic, and network games applied to power markets and resource allocation. Multi-agent systems: Online learning and designing economic systems with optimal equilibria. Power Grid: Data-driven reliability, pricing, and decision-making in smart grids (e.g., EU-funded GARPUR project). Applications: Communication network optimization, mobile health, LDPC codes, and large-scale optimization problems. He actively seeks postdocs, graduate, and undergraduate students with strong mathematical or programming skills for projects in mobile phone programming and complex system optimization. Contact: shie.mannor@ee.technion.ac.il | Phone: ++972-4-829-3284
Prof. Danny Dolev is a distinguished academic holding the Berthold Badler Chair in Computer Science at The Hebrew University of Jerusalem's Rachel and Selim Benin School of Computer Science and Engineering. He is an ACM Fellow and IEEE Fellow. His research focuses on distributed computing, fault-tolerant systems, algorithms, and secure protocols. He has held leadership roles, including Director of his school (1999–2002) and Chair of the Israeli National Committee for Information Technology (1994–1998). Education: B.Sc., The Hebrew University of Jerusalem, 1971 M.Sc., Weizmann Institute of Science, 1973 PhD., Weizmann Institute of Science, 1979 Research Interests: Danny Dolev's work spans distributed algorithms, Byzantine fault tolerance, consensus protocols, and hardware algorithms. His contributions include groundbreaking research on self-stabilizing systems, secure communication, and fault-tolerant clock synchronization. His HEX and Chronos protocols exemplify innovations in scalable synchronization and network security. Publications: His recent work emphasizes Byzantine agreement, asynchronous fault tolerance, and game-theoretic distributed systems. Key papers address optimal resilience in consensus algorithms and secure multi-party computation. Awards: ACM Fellow (2010) IEEE Fellow (2004) Grants & Leadership: Member of the Scientific Council, European Research Council (2010–2014) Chair of Israel's National Committee for Information Technology (1994–1998) Leadership roles at IBM Almaden Research Center (1987–1993) and Stanford University (1979–1981) Labs & Teams: His research group at Hebrew University focuses on distributed systems, with collaborations on projects like Steward (wide-area Byzantine replication) and Self-Stabilizing Circuits .
Lihi Zelnik-Manor is a Professor at the Faculty of Electrical and Computer Engineering at the Technion - Israel Institute of Technology . Her research focuses on digitizing the sense of touch, integrating Haptics , Robotics , and Computer Vision to create digital representations of physical properties and develop haptic feedback devices for virtual interactions. Executive Vice President for Innovation and Industry Relations (2023-2026) Vice Dean for Graduate Studies (2022-2023) General Chair: CVPR’21, ECCV’22 Her work spans Neural Architecture Search (NAS) , 3D Reconstruction , and Image Processing , with recent publications on haptic devices (2025), diffusion models (2025), and soft-tissue simulation (2024). She actively contributes to academic leadership through roles in top conferences and community initiatives like the Schmidt Postdoctoral Award steering committee.
Prof. Dan Peer is a full Professor at Tel Aviv University (TAU), serving as Vice President for Research and Development since October 2020. He is the Director of the Laboratory of Precision NanoMedicine and founder of the Center for Translational Medicine and the SPARK TLV program at TAU. His work pioneers systemic, cell-specific delivery of RNA molecules (RNAi, mRNA, circRNA, DNA) and genome editing tools using lipid nanoparticles (LNPs), with transformative applications in cancer (glioblastoma, ovarian cancer, blood cancers) and inflammatory diseases. Research Interests RNA Therapeutics Genome Editing (CRISPR) Cancer Immunotherapy Inflammatory Bowel Diseases Nanoparticle-Based Drug Delivery His lab has produced groundbreaking publications in Nature Nanotechnology , Science , and Nature Biotechnology , and he has authored over 140 patents. Scientific awards include the Kenneth Rainin Foundation Innovator/Breakthrough Awards (2010-2013), AAAS Award, Nanos Award (2017), Litwin IBD Pioneers Award (2020), Roche Distinguished Scientist (2021), and GenScript Distinguished Research Award (2022). He was elected to the US National Academy of Engineering (2023) and the Israel Young Academy (2014). Prof. Peer’s work has led to five spin-off companies and collaborations with BioNTech, Roche, and Merck. His lab combines materials science, molecular biology, and computational drug discovery to translate academic findings into clinical settings.
Prof. Iftach Yacoby serves as a Professor in the School of Plant Sciences and Food Security at Tel Aviv University's George S. Wise Faculty of Life Sciences. Based in Room 603 of the Britannia Building, he leads research at the critical intersection of energy security and food sustainability through microalgal biotechnology. His primary research investigates microalgal biomass as a dual-purpose solution: generating protein-rich food resources (with 50% dry weight as protein) and producing clean hydrogen fuel via photosynthetic processes. He focuses on enzymatic water-splitting mechanisms during photosynthesis, particularly hydrogenase-catalyzed hydrogen synthesis from protons and electrons. This work aims to develop solar-driven systems for parallel bio-hydrogen production (emitting only water vapor) and nutritional biomass generation to address climate change and global food insecurity. No scientific awards or honors are documented in available sources. Information regarding graduate student mentorship, research grants, and funding sources is not specified in current institutional materials. Prof. Yacoby directs a specialized laboratory exploring microalgal applications for green energy and food systems. The lab investigates fundamental photosynthetic pathways in algae, optimization of hydrogen production efficiency, and biomass yield enhancement for nutritional applications, positioning microalgae as a 'green coin' bridging energy and food security challenges.
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.
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)
Prof. Doron Shmilovitz serves as a Professor at Tel Aviv University's School of Electrical Engineering, focusing on advanced power conversion systems. His core research domains include: Photovoltaic Energy Power Processing High-Frequency Converters Active Power Factor Correction (APFC) Topologies Energy Harvesting from Single Photovoltaic Cells/Piezoelectric Devices Ultra-Low-Voltage Conversion for Biomedical Sensors Power Quality Optimization Specializing in micro-scale energy conversion, his work enables efficient power delivery for remote sensing and medical applications where conventional systems fail. Current projects address the challenges of harvesting energy from minuscule sources like individual solar cells. Contact: shmilo@tauex.tau.ac.il | Office: Electrical Engineering Building 225 | Tel: 03-6406238
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.
Oren Weimann is a Professor in the Department of Computer Science at the University of Haifa, Faculty of Natural Sciences. His research lies at the intersection of theoretical computer science, algorithm design, and data structures, with a strong focus on planar graphs, combinatorial pattern matching, and fine-grained complexity. He has published extensively in top-tier venues such as STOC, SODA, ICALP, PODC, and ESA. Education: Ph.D., Massachusetts Institute of Technology (MIT), 2005–2009. Advisor: Erik Demaine. Dissertation: "Accelerating Dynamic Programming" Postdoc, Weizmann Institute of Science, 2009–2011. Host: David Peleg M.Sc., University of Haifa, 2004–2005. Advisor: Gad Landau. Dissertation: "Using PQ trees for Comparative Genomics" B.A., Technion – Israel Institute of Technology, 1999–2002 Oren Weimann's research centers on the design and analysis of efficient algorithms, particularly for planar and structured graphs. His work explores fundamental problems such as shortest paths, distance oracles, fault tolerance, edit distance, and pattern matching. He investigates both upper and lower bounds, often pushing the limits of what is computationally feasible under fine-grained complexity assumptions. His contributions include optimal labeling schemes, compressed data structures, and breakthroughs in dynamic and distributed graph algorithms. His recent publications reveal a consistent trend in developing highly efficient algorithms for planar graphs, with a focus on distance computation, fault tolerance, and compression. Keywords across these works include planar graphs, dynamic programming, string matching, and conditional lower bounds, reflecting a deep integration of algorithmic techniques and complexity theory. He frequently collaborates with leading researchers such as Shay Mozes, Paweł Gawrychowski, and Philip Bille. Scientific Awards: Best Paper Award, CPM 2007 Best Paper Award, ICALP 2020 (mentioned in context of work) Oren Weimann has advised numerous PhD and Master’s students, including Yaseen Abd-Elhaleem, Nathan Wallheimer, Aviv Bar-natan, and Shon Feller, whose dissertations have led to publications in major conferences. He has also mentored several postdoctoral researchers such as Shay Golan, Itai Boneh, and Panagiotis Charalampopoulos. His work has been supported by competitive research grants, though specific grant titles are not listed in the text. He has served on the program committees of key conferences including SODA, ICALP, CPM, ESA, and SPIRE, demonstrating active leadership in the theoretical computer science community. He is associated with a vibrant research group focused on algorithms and data structures, likely involving collaboration with students and postdocs on projects related to graph algorithms, string processing, and complexity. While no formal lab name is mentioned, his collaborative output suggests a strong, productive research team at the University of Haifa.
Michael Elkin is a Professor in the Department of Computer Science at Ben-Gurion University of the Negev, Israel. His research focuses on Theoretical Computer Science, Discrete Mathematics, and Algorithms, with specializations in graph algorithms, distributed computing, and metric embeddings. He has held editorial roles, including Associate Editor of the Journal of Computer and System Sciences, and has contributed to numerous program committees for top conferences like FOCS and SODA. Elkin's research interests include low-distortion embeddings, streaming and dynamic graph algorithms, and approximation algorithms. His work bridges distributed and centralized algorithm design, with applications in network optimization and computational geometry. Recent trends in his publications emphasize efficient spanner constructions, symmetry-breaking in distributed systems, and algorithmic approaches to graph coloring and metric spaces. Elkin has advised multiple PhD and Master’s students, including Leonid Barenboim (winner of the 2015 Distributed Computing Doctoral Dissertation Award) and Shay Solomon. He has been awarded Best Paper and Best Student Paper awards at PODC conferences for groundbreaking contributions to distributed algorithms. Additionally, he leads a postdoctoral research group focusing on graph algorithms and metric embeddings, collaborating with Eden Chlamtac and Ofer Neiman. Teaching highlights include courses on Distributed Algorithms, Design of Algorithms, and Metric Graph Algorithms. His academic service includes organizing academic programs and mentoring early-career researchers in theoretical computer science.
Michael Margaliot is a Professor of Electrical Engineering and the incumbent of the Systems and Control Chair at Tel Aviv University, Israel. He is affiliated with the School of Electrical and Computer Engineering. Research Interests His research spans dynamical systems, control theory, and systems biology, with specific expertise in: Stability analysis of switched systems Control-theoretic properties of Boolean networks Theory/applications of compound matrices (k-contractive, alpha-contractive, k-cooperative systems) Mathematical modeling of ribosome flow in gene expression Optimal control and fuzzy logic applications Neural network information retrieval Publication Analysis His recent work (2022-2025) demonstrates strong focus on contraction theory (k-contraction), matrix compounds, and biological applications like ribosome flow modeling. Publications frequently appear in top control theory journals ( IEEE Transactions on Automatic Control , Automatica ) and interdisciplinary venues ( Journal of the Royal Society Interface ). Key themes include networked systems stability, biological translation processes, and novel mathematical frameworks for dynamical systems. Research Leadership He leads a research group at Tel Aviv University, evidenced by frequent co-authorship with PhD students and postdoctoral researchers. His team collaborates internationally with institutions like MIT, UC Santa Barbara, and TU Munich, focusing on theoretical control and biological applications.
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.
