Advisers

The genome harbors additional codes. The genetic code was just the first one to be discovered. In order to decipher and decode the genome, we need to make a Biological Rosetta stone. Our research is dedicated to achieving this goal. Continue Reading Amit, Roee

Computational biology, cancer genomics, clinical data Continue Reading Aran, Dvir

Game theory, Economic theory, Bayesian learning, evolutionary game theory Continue Reading Arieli, Itai

Game Theory, Learning and complexity of equilibria, Information in games: Information aggregation, Strategic communication of information. Continue Reading Babichenko, Yakov

How the dynamics of neural networks in the brain support the processes of learning and memory, using theoretical tools from the worlds of mathematics and physics and analyzing data from experiments obtained from research laboratories with which he collaborates. Continue Reading Barak, Omri

Computational Geometry, Combinatorics (Polyominoes) Continue Reading Barequet, Gill

Machine learning/deep learning in medicine Continue Reading Behar, Joachim

Spatial computing, 3D geometry processing, Shape analysis and understanding, Geometric modeling and animation, Computational fabrication, Quad meshing, Applied conformal geometry, Computer Graphics Continue Reading Ben-Chen, Miri

Random topology and its applications in data analysis and networks. Continue Reading Bobrowski, Omer

Theoretical biophysics: Learning and control in biological cells; variability and interactions in cell population. Continue Reading Brenner, Naama

Biophysics & Non-Equilibrium Statistical Mechanics Continue Reading Bunin, Guy

Multiphase flows, flow instabilities, particle-wave interactions, hydrodynamic-quantum analogues Continue Reading Dagan, Yuval

Conceptual modeling with Object-process Methodology:Graph algorithms, Reasoning, Cause-and-effect explaining Continue Reading Dori, Dov

Theory of Machine Learning, Equivariant Machine Learning, and Optimization. Continue Reading Dym, Nadav

Geometric Modeling, B-spline representations, Multivariate splines Continue Reading Elber, Gershon

Algorithmic foundations of decentralized and interactive decision making Continue Reading Emek, Yuval

Enviromatics, aiming at devising machine learning methods and mathematical models for a better understanding of built and natural complex environments. Continue Reading Fishbain, Barak

Membranes: fundamentals and technology. Polymer, electrolytes, particles and surfaces. Physics of membrane and near-membrane transport Continue Reading Freger, Viatcheslav (Slava)

Machine/Deep-learning applications in medical imaging, magnetic resonance imaging, medical image analysis Continue Reading Freiman, Moti

Algorithmic foundations of Machine Learning, Data Science, and Optimization Continue Reading Garber, Dan

Modeling physical phenomena at the interface between solid- and fluid- mechanics for applications in metafluidics and soft robots. Continue Reading Gat, Amir

Physical Chemistry, Electrolyte solutions, Ion channels Continue Reading Gavish, Nir

Computational methods for wave problems. Computational methods for inverse problems. Computational methods for nonlinear solid mechanics & structural dynamics. Non-standard finite element methods. Hybrid methods combining analytic and numerical solutions. Continue Reading Givoli, Dan

Nonlinear and chaotic dynamical systems (multiple-scale asymptotics, global bifurcation continuation). Synchronization and chimera states in rigid-body and continuous systems (co-existence, stability, control). Fluid-structure interaction (self-excitation, non-stationarity). Thermo-visco-elastic nanomechanical resonators (internal resonances, energy transfer of wide-spaced modes). Continue Reading Gottlieb, Oded

Nonnegative Matrices, Montone Systems, Low-Complexity Modelling, Low-Rank/Sparse Optimization, Online Learning, Statistics on Manifolds Continue Reading Grussler, Christian

Continuous Optimization: Theory and Algorithms, First and Second Order Methods, Nonconvex Optimization, Sparse Optimization: Theory and Algorithms, Applications in Machine Learning, Engineering, Finance and Science Continue Reading Hallak, Nadav

Probabilistic inference and decision making under uncertainty, typically considering a partially observable setting and high dimensional state spaces in the context of robotics and autonomous systems. Continue Reading Indelman, Vadim

Theoretical aero- and hydro-dynamics. Flying and swimming in nature. Continue Reading Iosilevskii, Gil

Machine learning of mathematical and physical constants, Electromagnetic theory and modeling, pen problems in electrodynamics, Applications of quantum, Electrodynamics, and renormalization challenges,Concepts from topology applied in physics. Continue Reading Kaminer, Ido

3D genome organization, Modelling molecular processes and genomic data, Machine learning & probabilistic models,Biological data analysis Continue Reading Kaplan, Noam

Theoretical and computational investigation of flow physics, with emphasis on transition to turbulence Continue Reading Karp, Michael

Building a set of theoretical and applied tools that support and encourage collaborations between autonomous AI agents and robots, as well as between AI agents and humans. This, using a variety of tools that include automated design and model-based inference, reinforcement learning in multi-agent systems and hierarchical design of robots. Continue Reading Keren, Sarah

Bio-heat and bio-mass transport. Cell and tissue mechanics. Nano-acoustics medicine: ultrasound and opto-acoustics in medicine and biology as determined by intracellular, intra-membrane cavitation and bubble dynamics. Acoustic neuromodulation. Biomechanics of trauma and decompression. Acoustics of the inner ear Continue Reading Kimmel, Eitan

Shape reconstruction and analysis, applied differential and metric geometry, image processing, analysis, and synthesis, manifold learning, deep learning and understanding, biometrics, robot vision, and modeling of physical and artificial structures and forms. Continue Reading Kimmel, Ron

Algorithmic Game Theory, Electronic Commerce, Social Networks Internet Auctions Continue Reading Lavi, Ron

Physico-chemical hydrodynamics, interfacial and particulate flows, small scale propulsion, microfluidics Continue Reading Leshansky, Alex

Mathematical foundations of deep learning, Graph neural networks, Applied harmonic analysis, Time-frequency and wavelet analysis Continue Reading Levie, Ron

Combinatorial optimization problems, worst case analysis of algorithms for combinatorial optimization problems Continue Reading Levin, Asaf

Machine Learning and Stochastic Optimization Continue Reading Levy, Kfir

We study how information is processed in neuronal networks to drive behavior Continue Reading Levy, Sagi

Computational Molecular Biology, Systems biology, machine learning, Biological Networks, Stem cells, single cell RNA-sequencing Continue Reading Mandel-Gutfreund, Yael

Rarefied and small-scale gas flows: breakdown of the continuum description, microscale heat and mass transfer phenomena. Aeroacoustics: aerodynamic noise, vortex sound. Continue Reading Manela, Avshalom

We work on Colloid Physics and Acoustic/Kinetic Flows, many times in Boundary Layers and Porous Media. We employ Numerical and Asymptotic analyses of Continuum Transport Equations, Classical Density Functional Theory, and Near Equilibrium Gradient Dynamics. Continue Reading Manor, Ofer

Electrical phenomena in point and extended biological systems; low-dimensional models of excitability. Continue Reading Marom, Shimon

Information theory and coded communication, including related fields such as signal processing and mechanical statistics Continue Reading Merhav, Neri

Resonance phenomena, Nonhermitian quantum mechanics, Laser induced dynamics of atomic, molecular, optical and mesoscopic systems, Cold molecular collisions. Continue Reading Moiseyev, Nimrod

Instabilities and pattern formation, Anomalous transport Continue Reading Nepomnyashchy, Alexander

Phase transitions, wetting, grain boundary migration, Higher order parabolic equations, Surface diffusion Continue Reading Novick-Cohen, Amy

Quantum Dynamics, Quantum transport Continue Reading Peskin, Uri

Nonequilibrium statistical mechanics, molecular machines, rare events and fluctuations, thermodynamics of information. Continue Reading Rahav, Saar

Applying engineering to biology: Principles of genetic circuit design and synthetic biology. Continue Reading Ramez Daniel

Natural Language Processing, Machine Learning. Continue Reading Reichart, Roi

machine learning, deep learning, deep generative models, scientific reproducibility, selective inference, false discovery rate, knockoffs, uncertainty estimation, fairness, sparse representations, convolutional sparse coding, dictionary learning, image processing, inverse problems. Continue Reading Romano, Yaniv

Error correcting codes, Coding for storage systems, Application of coding theory to complexity, Information theory Continue Reading Roth, Ronny

Mathematical problems in Medicine Continue Reading Rubinstein, Koby

Continuous Optimization, Theory and Algorithms,  Methods for large-scale optimization problems, Applications in Engineering and Science. Continue Reading Sabach, Shoham

At the Savir lab, our goal is to study, both experimentally and theoretically, Information processing in biological systems and its failure in aged cells Continue Reading Savir, Yoni

Causality and causal inference, Machine learning and its applications in healthcare Continue Reading Shalit, Uri

Theoretical modeling of bio-mechanical systems: Morphology of membrane organelles, Cell motility, mechanical forces in the cytoskeleton Continue Reading Shemesh, Tom

Development of computational methods for bridging the data-insight gap, particularly with focus immunity and their application for understanding the drivers of immune variation and how their maturation to Immune-based Precision Medicine. Continue Reading Shen-Orr, Shai

mathematical modeling of metamaterials, Homogenization of partial differential equations for composite materials Continue Reading Shmuel, Gal

membrane reactors, integration of exothermic and endothermic reactors, dynamic operation of reactors, process conceptualization and optimization. Continue Reading Shoham Patrascu, Michael

Optimization under uncertainty, data-driven optimization, large-scale optimization. Continue Reading Shtern, Shimrit

Game theory, Mechanism design Continue Reading Smorodinsky, Rann

Theoretical investigation of learning capabilities in neural networks. Continue Reading Soudry, Daniel

Nonlinear dynamics and vibrations, bifurcations and nonlinear waves. Regular and stochastic dynamics of granular media. Development of passive nonlinear strategies for localization. Wave propagation in multi-layered composite systems, with repetitive structures, ordered/disordered structural defects and discontinuities. Continue Reading Starosvetsky, Yuli

The basis of behavioral individuality; regulation of long-term behavior across development Continue Reading Stern, Shay

Computer graphics, with an emphasis on geometric aspects of graphics, and deep learning for computer graphics Continue Reading Tal, Ayellet

Algorithmic game theory Continue Reading Talgam-Cohen, Inbal

Signal processing, with an emphasis on geometric methods and manifold learning. Continue Reading Talmon, Ronen

I focus on core problems in data-science, statistical inference and information theory. Topics include: Algorithms and theory for non-parametric regression; Statistical inference in high dimensional models; Exploration-exploitation problems with information-based rewards; Information-theoretic limits in prediction; Theoretical limits of DNA information processing. Continue Reading Weinberger, Nir

Coding and Information Theory, Non-volatile Memories, Storage Systems, Private Information Retrieval, DNA Storage Continue Reading Yaakobi, Eitan

Fluid Mechanics Continue Reading Yariv, Ehud – Chair & Program Coordinator

Molecular neuroscience, Systems biology, Analysis of big data, Brain connectomics. Continue Reading Zeisel, Amit

Duality in optimization theory as a tool to analyze and design cooperative control systems Dynamic systems, passivity and dissipasivity theory for cooperative control Dynamic systems evolving over Graphs: interplay between graph theory and control theory Continue Reading Zelazo, Daniel

Service operations management, stochastic modeling, queueing theory and their applications in healthcare operations Continue Reading Zychlinski, Noa