Machine Learning Professors and Supervisors in Israel

Offer Liebermanمشاهده پروفایل

استاد

Bar-Ilan UniversityIsrael

Offer Lieberman is a Tenured Professor in the Department of Economics at Bar-Ilan University, Ramat Gan, Israel, a position he has held since 2012. Prior to this, he served as a Tenured Associate Professor and Senior Lecturer at the Technion-Israel Institute of Technology (2000-2007, 1999-2000), and as a Tenured Professor at Haifa University (2007-2012). He has also held multiple Visiting Professor roles at Yale University (1999-2002, 2017-2018) and the University of Iowa (2000). His research spans Econometric Theory Time Series Analysis Spatial Econometrics Long Memory Processes Multivariate GARCH Derivative Pricing Behavioral Finance . Education : Ph.D. in Econometrics, Monash University (1993) M.Com. in Economics (First Class Honors), University of Canterbury (1990) B.Com. in Economics, University of Canterbury (1989) Lieberman’s scholarly work focuses on advanced econometric techniques, including Hybrid Stochastic Local Unit Root Models Temporal Aggregation in Financial Indices Similarity-Based Spatial Autoregressive Models High-Dimensional and Nonlinear Time Series . His methodological contributions have been applied to financial volatility, housing markets, and nonlinear dynamics. Scientific Awards and Recognitions : William Gittes Chair in Macroeconomics (2012-present) Research Fellow, Centre de Recherche en Economie et Statistique, Paris, France (1992-1993) Lieberman co-founded the Research Institute for Econometrics (RIE) at Bar-Ilan University (2012-2017) and has served on the program committees of major Econometric Society conferences. He is an Associate Editor for Econometric Theory and The Econometrics Journal , and a member of The Econometric Society since 1996.

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Noam Nisanمشاهده پروفایل

استاد

The Hebrew University of JerusalemIsrael

Noam Nisan is a Full Professor at the School of Computer Science and Engineering at the Hebrew University of Jerusalem, Israel. He is a member of the Center for the Study of Rationality and the Israeli Academy of Sciences and Humanities. He also serves on the Board of Directors of the National Library of Israel and chairs its Digital Strategy Subcommittee. Additionally, he is a Principal Researcher at Starkware, focusing on blockchain technologies. His research bridges Computer Science, Game Theory, and Economics, particularly in algorithmic game theory and electronic markets. Education: Ph.D. in Computer Science, University of California, Berkeley (1988), advised by Richard Karp B.Sc. summa cum laude in Mathematics and Computer Science, Hebrew University (1984) Research Interests: Algorithmic Game Theory, Economics and Computation, Electronic Markets, Auction Design, and Mechanism Design . His work explores strategic interactions in computational systems, including market equilibria, fair division, and decentralized resource allocation. Key Contributions: Co-authored foundational texts like Algorithmic Game Theory and Elements of Computing Systems Pioneered work on pseudorandom generators, communication complexity, and secure multi-party computation Grants & Awards: Holder of major grants (e.g., ERC, Binational Science Foundation) and honors including the Gödel Prize (2012), Knuth Award (2015), and STOC Test of Time Award (2022). Service: Extensive editorial roles (e.g., Games and Economic Behavior ), program committee leadership (EC, FOCS), and academic governance (Dean of School of Computer Science, 2018-2021). Co-founded the Algorithmic Game Theory Blog (Turing’s Invisible Hand). Labs/Teams: Active in Starkware’s research on zero-knowledge proofs and blockchain scalability, and collaborates with the Center for Rationality on behavioral algorithmic mechanisms.

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Amnon Buxboimمشاهده پروفایل

استادیار

The Hebrew University of JerusalemIsrael

Dr. Amnon Buxboim is an Assistant Professor at the Hebrew University of Jerusalem, affiliated with the Alexander Grass Center for Bioengineering and the Department of Cell and Developmental Biology. His research focuses on mechanobiology, particularly the roles of mechanical forces in stem cell differentiation, nuclear mechanics, and embryo development. He leads the Buxboim Lab, which combines single-cell genomics, microrheology, and AI to study mechanotransduction in contexts like preimplantation embryos and inflammation. Key achievements include securing an ERC Starting Grant (2015) for bovine reproduction mechanobiology and developing novel technologies like the MechanoSCOPE for in situ embryo mechanics analysis. His lab trains students in biology, bioengineering, physics, and computer science, collaborating with clinicians for translational impact. Notable students include Yoav Kan-Tor (PhD, Computer Science), Nir Zabari (MSc), and Shlomi Brielle (PhD). Research interests span matrix-directed stem cell fate, embryo development prediction via deep learning, and nuclear lamina interactions. The lab also investigates inflammation's mechanical aspects in IBD and GvHD.

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Yonatan Loewensteinمشاهده پروفایل

استاد

The Hebrew University of JerusalemIsrael

Prof. Yonatan Loewenstein is a Professor in the Department of Neurobiology at the Hebrew University of Jerusalem. His research focuses on computational neuroscience and cognition, particularly the neural mechanisms underlying decision-making, reinforcement learning, and sensory processing. He leads an interdisciplinary laboratory exploring how learning principles govern behaviors in both biological and artificial systems. Key contributions include studies on somatosensory cortex organization, neuronal homeostasis, and human-machine synergy in decision-making. He co-authored the book Computational Models in Cognition , blending theoretical frameworks with empirical findings. Education details are not explicitly provided in the text, but his affiliations suggest advanced training in neurobiology and computational sciences. Research interests span decision-making biases, reinforcement learning dynamics, and the interplay between brain structure and function. His recent work addresses topics like idiosyncratic choice stability, value modulation in impulsivity, and abstract reasoning in neural networks. Publications highlight collaborations in fields ranging from cognitive dissonance to schizophrenia diagnostics. While no specific awards are listed, his involvement in high-impact journals and interdisciplinary projects underscores his academic contributions. The lab’s work is housed in the Goodman Faculty building, with active group members and experimental facilities.

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Ran Nathanمشاهده پروفایل

استاد

The Hebrew University of JerusalemIsrael

Movement ecology
Spatiotemporal plant population dynamics
Ornithology
+۳ مورد دیگر

Prof. Ran Nathan is a Professor in the Department of Ecology, Evolution & Behavior at The Hebrew University of Jerusalem. His research focuses on movement ecology, spatiotemporal plant population dynamics, and ornithology. He holds a Ph.D. and serves as the Chief Editor of Movement Ecology . His work integrates theoretical and empirical approaches to study dispersal, migration, and animal movement mechanisms. Key research interests include the ecology and evolution of dispersal, mechanisms underlying organism movements, and the application of tracking technologies. Notable contributions include discoveries on cognitive navigation in bats and the role of movement in microbial community composition in barn owls. Prizes & Honors: 2019 Distinguished Scientist Award from the National Academy of Sciences (China) Landau Award Prof. Nathan leads research groups exploring movement ecology paradigms, lifetime tracks of organisms, and invasive plant spread. He actively seeks PhD students for studies on raven psychometrics in desert ecosystems and collaborates on projects involving big data analysis in movement ecology.

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Sagiv Shifmanمشاهده پروفایل

استاد

The Hebrew University of JerusalemIsrael

Genetics of Neurodevelopmental Disorders
Autism Spectrum Disorders
Schizophrenia Genetics
+۷ مورد دیگر

Prof. Sagiv Shifman is a Full Professor at the Department of Genetics , Alexander Silberman Institute of Life Sciences , The Hebrew University of Jerusalem . His research focuses on the genetics of neurodevelopmental and psychiatric disorders , particularly autism spectrum disorders and schizophrenia , utilizing genomic data analysis , mouse models , and CRISPR screening to uncover chromatin regulators , gene expression variation , and sex-specific genetic mechanisms . Academic Leadership : Served as department head (2017-2021), previously leading genetics teaching programs. Research Themes : Mapping genetic variants in brain disorders via computational/experimental methods. Studying gene networks and chromatin regulation in neurodevelopment. Investigating essential genes in stem cells and cancer via CRISPR libraries . Elucidating sex chromosome influences on gene essentiality and disease. Scientific Contributions : 2013 Krill Prize recipient for excellence in Life Sciences. Key discoveries in POGZ deficiency , AUTS2 isoforms , and ASD/Schizophrenia gene overlap . Collaborative Impact : Advancing neurogenetic databases and CRISPR-based disease modeling . Developing tools like ImReP and ROP for immunoglobulin repertoire analysis and RNA-seq read origin detection .

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Amir Boagمشاهده پروفایل

استاد

Tel Aviv UniversityIsrael

Prof. Amir Boag is a Professor in the Physical Electronics Department of the School of Electrical Engineering at Tel Aviv University. He received his B.Sc. and B.A. degrees Summa Cum Laude in 1983, M.Sc. in 1985, and Ph.D. in 1991, all from the Technion - Israel Institute of Technology. His academic journey includes faculty positions at the Technion (1991-1992), a Visiting Assistant Professorship at the University of Illinois at Urbana-Champaign (1992-1994), and industry experience at Israel Aircraft Industries (1994-1999) before joining Tel Aviv University in 1999. Prof. Boag's research focuses on computational electromagnetics and acoustics, specializing in numerically efficient algorithms, beam representations of fields, radar imaging techniques including Synthetic Aperture Radar, quantum-electromagnetic simulations, and antenna/nano-antenna design. His work bridges theoretical developments with practical applications in electromagnetic and acoustic systems. His research group comprises over ten graduate students working on cutting-edge problems in wave physics. Prof. Boag has published more than 130 journal articles and presented over 300 conference papers. He has been instrumental in organizing the Tel Aviv University Antenna Symposium and Underwater Acoustics Symposium, with the 13th Underwater Acoustics Symposium scheduled for October 23, 2025. IEEE Fellow (2008) for contributions to integral equation based analysis, design, and imaging techniques Fellow of the Electromagnetics Academy Former Associate Editor for IEEE Transactions on Antennas and Propagation Holder of approximately ten patents in electromagnetics and antenna design Prof. Boag's research demonstrates strong continuity in developing efficient numerical methods for electromagnetic and acoustic problems, with increasing focus on quantum-electromagnetic interactions and nano-scale applications in recent years. His work maintains strong connections between fundamental theory and practical engineering applications, particularly in radar and imaging systems.

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Izhaq-Yaron Toledoمشاهده پروفایل

استاد

Tel Aviv UniversityIsrael

Prof. Izhaq-Yaron Toledo is a Professor at the School of Mechanical Engineering, Tel Aviv University, where he leads the Marine Engineering and Physics Laboratory (MEPlab). His research employs a holistic approach integrating theoretical modeling, field observations, remote sensing, and machine learning to study ocean surface dynamics in the Eastern Mediterranean Sea. Research Focus: Prof. Toledo's work spans geophysical and environmental fluid dynamics, with emphasis on wave-current-wind interactions, pollutant transport, radar-based remote sensing of ocean surfaces, and coupled modeling of temperature, salinity, and wave systems in the Mediterranean and Red Seas. Core methodologies include analytical solutions for differential equations and marine engineering applications. Laboratory Leadership: At MEPlab, he directs interdisciplinary research on wave physics and oceanographic processes, leveraging both numerical simulations and empirical data collection.

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Ami Wieselمشاهده پروفایل

استاد

The Hebrew University of JerusalemIsrael

Ami Wiesel is a Professor at The Rachel and Selim Benin School of Computer Science and Engineering at The Hebrew University of Jerusalem. His research focuses on statistical signal processing, machine learning, and covariance estimation. Previously, he completed his postdoctoral studies at the University of Michigan with Professor Alfred Hero, earned his PhD in Electrical Engineering from Technion under Professors Yonina Eldar and Shlomo Shamai, and obtained his MSc and BSc in Electrical Engineering from Tel Aviv University. His research interests include robust covariance estimation , statistical learning , signal detection , and MIMO communications . Wiesel has made significant contributions to the field of structured covariance estimation, particularly in elliptical distributions and Tyler's estimator. His work bridges theoretical statistics with practical applications in radar systems, wireless communications, and hyperspectral imaging. Wiesel's publications show a clear trend toward integrating deep learning with traditional statistical signal processing methods. His recent work explores unbiased estimation using neural networks, fair principal component analysis, and deep learning applications for target detection with constant false alarm rate. His research spans theoretical foundations in covariance estimation to practical implementations in radar and communications systems. Among his notable scientific achievements are: Young Author Best Paper Award (2019) for 'Learning to Detect' Young Author Best Paper Award (2006) for 'Linear precoding via conic optimization for fixed MIMO receivers' Student Paper Award (2017) for 'Deep MIMO detection' Wiesel has advised numerous graduate students who have gone on to publish significant work in the field. His research has been supported by various grants focusing on statistical signal processing, machine learning applications, and radar systems. His monograph 'Structured Robust Covariance Estimation' (2015) has become a reference in the field. He maintains an active research group focusing on the intersection of statistical learning and signal processing, with applications in communications, radar, and medical imaging.

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Ram Frostمشاهده پروفایل

استاد

The Hebrew University of JerusalemIsrael

Prof. Ram Frost is a Professor in the Department of Psychology at the Faculty of Social Sciences, The Hebrew University of Jerusalem, with office location in the Social Sciences Building (fifth floor, room 26509). He maintains active research fellowships at Haskins Laboratories in New Haven and the Basque Center for Cognition, Brain and Language (BCBL), underscoring his international collaborative networks. His research centers on cognitive mechanisms of visual word recognition across languages and statistical learning as an individual capacity for detecting environmental regularities. He investigates universal versus language-specific aspects of reading processes and individual differences in second language acquisition, with current work focusing on the behavioral and neurobiological underpinnings of statistical learning through an ERC Advanced grant. Recent publications reveal a concentrated research trajectory examining brain signatures of reading proficiency (including beta-band neural activity), theoretical integration of statistical learning into cognitive frameworks, and clinical applications for understanding language impairments. His work bridges cognitive neuroscience, psycholinguistics, and information theory to address fundamental questions about learning mechanisms. Prof. Frost leads an ERC Advanced grant-funded research program examining statistical learning from multidisciplinary perspectives. His laboratory maintains strong collaborative ties with Haskins Laboratories and BCBL, facilitating cross-institutional research on learning mechanisms and their implications for language processing and acquisition.

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