Neural Coding Professors and Supervisors in Israel

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)

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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.

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Adi Mizrahiمشاهده پروفایل

استاد

The Hebrew University of JerusalemIsrael

Prof. Adi Mizrahi is a Professor at the Hebrew University of Jerusalem's Edmond and Lily Safra Center for Brain Sciences (ELSC), leading the NeuroPlasticity Lab. His research focuses on neuronal plasticity in auditory and olfactory systems, parental neuroscience, and adult neurogenesis. He holds the Eric Roland Chair in Brain Sciences. Research Interests: Neuronal & Circuit Plasticity in Sensory Systems Auditory Learning & Perceptual Boundaries Social and Parental Behavior Neural Mechanisms Adult Neurogenesis Functional Role Olfactory Bulb Circuit Dynamics Key Findings: Discovered maternal behavior-driven plasticity in auditory cortex representations of pup vocalizations Elucidated odor categorization mechanisms in the olfactory bulb Showed learning-induced cortical map expansions in auditory cortex Awards & Honors: ERC Starting Grant (2007) Sir Zelman Cowen Universities Fund Prize (2009) Labs & Teams: Directs the NeuroPlasticity Lab, collaborating with multiple postdocs and students investigating auditory, olfactory, and parental neurobiology. Lab develops automated behavioral systems and advanced imaging techniques.

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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.

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Ayelet Landauمشاهده پروفایل

دانشیار

The Hebrew University of JerusalemIsrael

Prof. Ayelet Landau is an Associate Professor in the Departments of Cognitive Sciences and Psychology at the Hebrew University of Jerusalem, leading the Landau Lab. Her academic journey includes a B.A. and M.A. in Psychology and Philosophy/Neuropsychology from Hebrew University, a Ph.D. in Cognition Brain and Behavior from UC Berkeley, and postdoctoral research at the Ernst Strüngmann Institute (ESI) in Frankfurt. Her research focuses on the Cognitive Neuroscience of Attention and Time Perception, investigating neural oscillations' role in temporal processing and attentional mechanisms. She explores how the brain encodes time perception, visual attention distribution over time, and neural oscillations' cognitive functions. Key funding sources include the European Research Council, James S. McDonnell Foundation, and Israeli Science Foundation. Her lab integrates psychophysical methods with EEG/MEG to study temporal perception, attention sampling, and neural rhythms. Notable work includes modeling temporal generalization, uncovering neural correlates of decision-making, and exploring crossmodal effects in sensory processing. Education: B.A. Psychology and Philosophy, Hebrew University of Jerusalem M.A. Neuropsychology, Hebrew University of Jerusalem Ph.D. Cognition Brain and Behavior, UC Berkeley Research Themes: Temporal Perception: How the brain encodes time perception and integrates sensory information over time Attentional Rhythms: Rhythmic sampling mechanisms in visual and auditory attention Neural Oscillations: Role of alpha, theta, and gamma rhythms in temporal and attentional processing Lab & Funding: Landau Lab at Mount Scopus campus. Supported by grants from ERC, McDonnell Foundation, and ISF.

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Citri Amiمشاهده پروفایل

استاد

The Hebrew University of JerusalemIsrael

Neuroscience
Molecular mechanisms of learning and memory
Drug addiction
+۶ مورد دیگر

Prof. Ami Citri is a prominent neuroscientist at the Hebrew University of Jerusalem's Edmond and Lily Safra Center for Brain Sciences. He holds a faculty position as Professor and leads the Citri Lab for Experience-Dependent Plasticity. His work focuses on understanding how the brain encodes experiences, particularly in regions like the claustrum, and explores neural mechanisms underlying addiction, attention, and synaptic plasticity. His research integrates molecular, synaptic, and behavioral approaches to unravel how salient experiences shape brain circuits and behavior. Education and Positions: PhD in Biological Regulation (Weizmann Institute of Science, 2006) Postdoctoral Research (Stanford University, 2012) Current PI at Hebrew University of Jerusalem since 2012 Research Interests: His work bridges molecular mechanisms (e.g., transcriptional networks, non-coding RNA) with systems-level processes like attention, addiction, and learning. Key areas include: Role of the claustrum in attention and sensory processing Neural circuits driving drug addiction and compulsive behaviors Experience-dependent plasticity and memory formation Awards and Recognition: ERC Consolidator Award (2018) CIFAR Azrieli Global Scholar (2016) ADELIS Prize in Neuroscience (2015) Grants and Collaborations: His lab has secured funding from major institutions including the European Research Council and Canadian Institute for Advanced Research. Collaborations span molecular neurobiology, behavioral neuroscience, and systems neuroimaging. Labs and Teams: The Citri Lab at the Goodman Brain Sciences Building houses a multidisciplinary team of PhD students, postdocs, and technicians investigating neural circuits using advanced techniques like fiber photometry and optogenetics.

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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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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.

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Ehud Zoharyمشاهده پروفایل

استاد

The Hebrew University of JerusalemIsrael

Prof. Ehud Zohary is a Professor of Neurobiology at The Hebrew University of Jerusalem's Edmond and Lily Safra Center for Brain Sciences (ELSC). His primary research focuses on visual perception, neural mechanisms underlying scene analysis, and visual recovery after early blindness. His lab investigates how the brain integrates sensory information to form coherent visual representations, particularly in unique populations such as children recovering from congenital cataracts. Research Themes: Visual perception, neuroplasticity, social cognition, and multisensory integration Key Projects: Vision recovery studies in Ethiopian children (Project EyeOpener), neural correlates of shape perception, and social scene understanding His work combines functional MRI, psychophysics, and computational modeling to explore how visual information is processed across hierarchical brain regions. Recent studies highlight deficits in social action understanding and gaze following in newly sighted individuals, underscoring the critical role of early visual experience. Lab Members: Includes PhD students Ilana Naveh, Sara Attias, Asael Sklar, and postdocs such as Maayan Raveh. Collaborations include multidisciplinary teams studying neuroplasticity and developmental vision.

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Michael Londonمشاهده پروفایل

دانشیار

The Hebrew University of JerusalemIsrael

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.

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