Coding Theory Professors and Supervisors in Israel

Shie Mannorمشاهده پروفایل

استاد

Technion - Israel Institute of TechnologyIsrael

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

پروفایل رسمی دانشگاه

Ran Gellesمشاهده پروفایل

دانشیار

Bar-Ilan UniversityIsrael

Ran Gelles is an Associate Professor at the Faculty of Engineering, Bar-Ilan University. He received his B.Sc. (Summa Cum Laude) and M.Sc. from the Technion–Israel Institute of Technology in 2003 and 2009, respectively, and his Ph.D. from UCLA in 2014. After a postdoctoral research associate position at Princeton University (2014–2016), he joined Bar-Ilan University in 2016. His research focuses on resilient communication protocols and distributed systems. Education B.Sc., M.Sc. – Technion–Israel Institute of Technology Ph.D. – University of California, Los Angeles (UCLA) Visiting Positions CWI, Amsterdam (2011) AT&T, New Jersey (2012) Princeton University (2013) Paderborn University (2022–2023) CISPA – Helmholtz Center for Information Security (2023) His recent work includes a 2024 publication in Interactive Coding with Unbounded Noise at RANDOM 2024, reflecting his expertise in noise-tolerant communication and distributed systems. He is also co-advising Ph.D. student Agajan Sahedov. Notable affiliations include sabbatical stays at Paderborn University, CISPA, and the Max Planck Institute for Informatics (2022–2023). In February 2025, he joined the editorial board of Scientific Reports (Springer-Nature).

پروفایل رسمی دانشگاه

Idit Keidarمشاهده پروفایل

استاد

Technion - Israel Institute of TechnologyIsrael

Idit Keidar is currently the Dean of the Viterbi Faculty of Electrical and Computer Engineering at the Technion - Israel Institute of Technology, where she also holds the Lord Leonard Wolfson Academic Chair. She received her BSc, MSc, and PhD (all summa cum laude) from the Hebrew University of Jerusalem in 1992, 1994, and 1998 respectively, with Danny Dolev as her PhD advisor. She completed her postdoctoral studies at MIT with Nancy Lynch. Her academic lineage includes notable figures such as Copernicus, Leibniz, Jacob Bernoulli, Euler, Lagrange, Laplace, and Poisson. Keidar's research focuses on fault-tolerant distributed and concurrent algorithms and systems, with particular interest in distributed storage theory and systems, concurrent data structures and transactions, and scalable Byzantine fault-tolerance. She approaches her work with the goal of finding theoretical foundations that can help explain and improve practical implementations. Her research has significant implications for large-scale distributed systems, cloud computing, and multi-core architectures. Keidar has made substantial contributions to the field through her editorial work as editor of the ACM SIGACT News Distributed Computing Column from 2007-2013 (previously co-editing with Sergio Rajsbaum from 2000-2007). Her publications span theoretical foundations, practical applications, and educational aspects of distributed computing. The trends in her work show a consistent focus on bridging theory and practice in distributed systems, with increasing attention to large-scale systems, transactional memory, and Byzantine fault tolerance as these areas have gained practical importance. Scientific Awards and Recognition: Lord Leonard Wolfson Academic Chair Editor of ACM SIGACT News Distributed Computing Column (2000-2013) Keidar has held significant leadership positions in the distributed computing community, serving as PC Chair for PPoPP 2019 and PODC 2018, Organizing Committee Chair for DISC 2013 in Jerusalem, and PC Co-Chair for LADIS 2021. She has been actively involved with the Networked Software Systems Laboratory at the Technion. Beyond her technical work, Keidar is also a creative writer, with a short story winning 2nd place in the Shirat Ha'Mada creative writing contest for scientists.

پروفایل رسمی دانشگاه

Eran Treisterمشاهده پروفایل

استادیار

Ben-Gurion University of The NegevIsrael

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)

پروفایل رسمی دانشگاه

Hila Pelegمشاهده پروفایل

استادیار

Technion - Israel Institute of TechnologyIsrael

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.

پروفایل رسمی دانشگاه

Eran Yahavمشاهده پروفایل

استاد

Technion - Israel Institute of TechnologyIsrael

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.

پروفایل رسمی دانشگاه

Yoram Margaliothمشاهده پروفایل

استاد

Tel Aviv UniversityIsrael

Yoram Margalioth is a Full Professor at Tel Aviv University Faculty of Law, where he teaches Taxation, Tax Policy (Public Finance), International Taxation, and Economic Growth and Distributive Justice. He pioneered Israel's first law MOOC on Coursera and has held visiting positions at NYU, Harvard, Toronto, and NUS. His academic leadership includes co-founding the Law and Philanthropy Institute (2014-2019) and the Microbusiness and Economic Justice Clinical Program. His educational background features a J.S.D. (1997) and LL.M. in Taxation (1995) from NYU School of Law, and an LL.B. (1991) and LL.M. Magna Cum Laude (1994) from Hebrew University School of Law. His doctoral thesis on U.S. tax code inflation adjustment was supervised by Daniel Shaviro. Margalioth's research integrates tax law with socioeconomic justice, focusing on Ultra-Orthodox communities, climate policy, and security studies. His work examines tax asymmetry in financial markets, welfare stigma, and charitable incentives, often bridging legal theory with empirical economics. He critically analyzes policy instruments like carbon taxes and per-capita taxation models while addressing cultural dimensions of economic behavior. His publication trajectory reveals deepening interdisciplinary engagement, shifting from pure tax technicalities toward macroeconomic justice and security policy. Recent works increasingly incorporate behavioral economics and cross-cultural analysis, particularly regarding Haredi society, while maintaining rigorous tax policy foundations. Climate change taxation and airport security profiling now feature prominently alongside traditional tax scholarship. American Law and Economics Association Prize for Best paper (for 'A Case for Pay Secrecy') As Academic Supervisor of the Microbusiness Clinical Program, Margalioth mentored students working with Ultra-Orthodox women in Bnei Brak. His World Bank consultancy (2003) and Harvard International Tax Program deputy directorship (2002-2003) demonstrate policy impact. Current research receives institutional support through TAU's Law and Philanthropy Institute framework. He co-founded and directed the Law and Philanthropy Institute (2014-2019), established the Microbusiness and Economic Justice Clinical Program (2004-2008), and served as Senior Fellow at The Haredi Institute for Public Affairs until 2021. These initiatives operationalize his research on economic inclusion, particularly for marginalized religious communities.

پروفایل رسمی دانشگاه

George Weissمشاهده پروفایل

استاد

Tel Aviv UniversityIsrael

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.

پروفایل رسمی دانشگاه

Michael Eladمشاهده پروفایل

استاد

Technion - Israel Institute of TechnologyIsrael

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.

پروفایل رسمی دانشگاه

Noga Ron-Zewiمشاهده پروفایل

دانشیار

University of HaifaIsrael

Noga Ron-Zewi is an Associate Professor in the Department of Computer Science at the University of Haifa, where she conducts research at the intersection of coding theory, complexity theory, and algorithms. She previously served as a faculty member at Ben-Gurion University and held a joint IAS-DIMACS postdoctoral fellowship at the Institute for Advanced Study (Princeton) and the Center for Discrete Mathematics and Theoretical Computer Science (Rutgers). Her research focuses on the theoretical foundations of computer science, particularly in the design and analysis of error-correcting codes and their applications to computation. She is currently leading an ERC-funded project that explores the deep connections between coding theory and computational complexity, aiming to develop new algorithmic techniques and theoretical frameworks. Noga Ron-Zewi earned her Ph.D. from the Department of Computer Science at the Technion – Israel Institute of Technology in 2014 under the supervision of Prof. Eli Ben-Sasson. She is actively recruiting graduate students and postdoctoral researchers to join her team at the University of Haifa, with funding available for both local and remote participation in her ERC project. She is currently leading the ERC Project on Error-correcting Codes and Computation, which supports graduate students and postdocs interested in this interdisciplinary area. Prospective researchers are encouraged to contact her directly for collaboration and funding opportunities. Her work is supported by the European Research Council (ERC), enabling cutting-edge research in theoretical computer science and fostering international collaborations.

پروفایل رسمی دانشگاه

Oren Tsurمشاهده پروفایل

استادیار

Ben-Gurion University of The NegevIsrael

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.

پروفایل رسمی دانشگاه

Nathan Linialمشاهده پروفایل

استاد

The Hebrew University of JerusalemIsrael

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.

پروفایل رسمی دانشگاه

Ely Poratمشاهده پروفایل

دانشیار

Bar-Ilan UniversityIsrael

Ely Porat is an Associate Professor at the Department of Computer Science, Bar-Ilan University, where he has been since 2000. He holds visiting professorships at the University of Michigan and Tel Aviv University, and has worked at Google (Mountain View in 2007 and Tel Aviv in 2011). His academic contributions include redefining the BSc degree in Computer Science at Bar-Ilan University and significant involvement in teaching committees. Research Interests: Algorithms and Data Structures Streaming Algorithms Pattern Matching Coding Theory Compressed Sensing His work focuses on advancing efficient algorithms for data processing, with applications in information retrieval, signal processing, and bioinformatics. He has organized multiple conferences including Stringology (2009–2011), ICALP2011GT, and UM Coding. He has served on program committees for CPM, SPIRE, and ESA. Advising & Collaboration: Current advisees include Ariel Shiftan, Guy Feigenblat, and others. Former students include Ohad Lipsky and Klim Efremenko. He hosts short-term researchers from abroad and collaborates with institutions like Google and Weizmann Institute. Publications span FOCS , STOC , ICALP , and other top venues, emphasizing theoretical foundations and practical algorithmic solutions.

پروفایل رسمی دانشگاه

Israel Nelkenمشاهده پروفایل

استاد

The Hebrew University of JerusalemIsrael

Prof. Israel Nelken is a Full Professor at the Hebrew University of Jerusalem, affiliated with the Edmond and Lily Safra Center for Brain Sciences. His research focuses on auditory neurophysiology, specifically the neural mechanisms underlying sound processing, perception-action loops, and statistical learning in audition. He has contributed significantly to understanding how the brain detects deviant sounds and encodes complex auditory information across multiple temporal and spectral scales. Affiliations: Hebrew University of Jerusalem, Edmond and Lily Safra Center for Brain Sciences Roles: Full Professor, Principal Investigator of the Israel Nelken Lab Research Interests Prof. Nelken’s work explores the transformation of sensory signals into meaningful representations in the auditory system. Key areas include: Neuronal responses to complex sounds and their behavioral relevance Stimulus-specific adaptation (SSA) and prediction error detection Integration of auditory information across cortical and subcortical regions Role of auditory cortex in rhythmic motor synchronization and statistical learning Key Contributions His studies on deviance detection in auditory cortex have advanced our understanding of mismatch negativity (MMN) and predictive coding. Recent work highlights rats’ ability to synchronize movements with auditory rhythms, challenging assumptions about species-specific musicality. He has also developed innovative tools like the Rat Interactive Foraging Facility (RIFF) to study neural-behavioral interactions in real-time. Awards & Honors Rector’s Prize for Excellence in Research and Teaching (2015) Landau Prize for Sciences and Research (2015) Michael Bruno Memorial Award (2008) ERC Advanced Grant (2013) Grants & Collaborations Recipient of prestigious grants including the ERC Advanced Grant for studying auditory processing in natural environments. Active collaborations include work on cortical dynamics in Alzheimer’s models and computational frameworks for attentional blink phenomena. Labs & Teams Leads the Israel Nelken Lab, which integrates electrophysiology, computational modeling, and behavioral experiments to dissect auditory processing. The lab collaborates widely, contributing to projects like the dense cortical microcircuit simulations for understanding surprise responses.

پروفایل رسمی دانشگاه