Potential Advisors

Potential Advisors

Aerospace Engineering
Yuval Dagan
Multiphase flows, flow instabilities, particle-wave interactions, hydrodynamic-quantum analogues
Dan Givoli
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.
Vadim Indelman
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.
Gill Iosilevskii
Aerodynamic theory of wings and bodies in unsteady motion. Asymptotic wing theories. Flight mechanics (theoretical and experimental). Helicopter dynamics. Basic fluid mechanics and transport phenomena. Animals aero- and hydro-dynamics.
Michael Karp
Theoretical and computational investigation of flow physics, with emphasis on transition to turbulence
Avshalom Manela
Rarefied and small-scale gas flows: breakdown of the continuum description, microscale heat and mass transfer phenomena. Aeroacoustics: aerodynamic noise, vortex sound.
Daniel Zelazo
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
Biotechnology and Food Engineering
Roee Amit
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.
Amit Zeisel
Molecular neuroscience, Systems biology, Analysis of big data, Brain connectomics.
Biology
Dvir Aran
Computational biology, cancer genomics, clinical data
Sagi Levy
We study how information is processed in neuronal networks to drive behavior
Yael Mandel-Gutfreund
Computational Molecular Biology, Systems biology, machine learning, Biological Networks, Stem cells, single cell RNA-sequencing
Tom Shemesh
Theoretical modeling of bio-mechanical systems: Morphology of membrane organelles, Cell motility, mechanical forces in the cytoskeleton
Shay Stern
The basis of behavioral individuality; regulation of long-term behavior across development
Biomedical Engineering
Moti Freiman
Machine/Deep-learning applications in medical imaging, magnetic resonance imaging, medical image analysis
Eitan Kimmel
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.
Daniel Ramez
Applying engineering to biology: Principles of genetic circuit design and synthetic biology.
Joachim Behar
Machine learning/deep learning in medicine
Chemical Engineering
Naama Brenner
Theoretical biophysics: Learning and control in biological cells; variability and interactions in cell population.
Viatcheslav Freger
Next-Generation Membranes for Water-Energy-Environment Nexus, Physics of Desalination in Membranes and Nanomaterials, Surface Science & Engineering.
Alexander Leshansky
Physico-chemical hydrodynamics, interfacial and particulate flows, small scale propulsion, microfluidics
Ofer Manor
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.
Michael Shoham Patrascu
membrane reactors, integration of exothermic and endothermic reactors, dynamic operation of reactors, process conceptualization and optimization.
Chemistry
David Gelbwaser
Open quantum systems, Quantum thermodynamics, Strong coupling, Non-reciprocal systems, Casimir forces, Non-equlibrium systems, Active matter
Uri Peskin
Quantum Dynamics, Quantum transport
Saar Rahav
Nonequilibrium statistical mechanics, molecular machines, rare events and fluctuations, thermodynamics of information.
Civil and Environmental Engineering
Barak Fishbain
Enviromatics, aiming at devising machine learning methods and mathematical models for a better understanding of built and natural complex environments.
Mahmood Jabareen
Mechanics of reinforced concrete, Computational mechanics: Finite element technology, Cosserat theories, Stability of thin structures, Mechanics of soft biological tissues
Computer Science
Gill Barequet
Computational Geometry, Combinatorics (Polyominoes)
Mirela Ben-Chen
Spatial computing, 3D geometry processing, Shape analysis and understanding, Geometric modeling and animation, Computational fabrication, Quad meshing, Applied conformal geometry, Computer Graphics
Gershon Elber
Geometric Modeling, B-spline representations, Multivariate splines
Sarah Keren
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.
Ron Kimmel
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.
Ronny Roth
Error correcting codes, Coding for storage systems, Application of coding theory to complexity, Information theory
Yaniv Romano
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.
Inbal Talgam-Cohen
Algorithmic game theory
Eitan Yaakobi
Coding and Information Theory, Non-volatile Memories, Storage Systems, Private Information Retrieval, DNA Storage
Electrical & Computer Engineering
Omri Barak
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.
Omer Bobrowski
Random topology and its applications in data analysis and networks.
Ido Kaminer
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.
Kfir Levy
Machine Learning and Stochastic Optimization
Neri Merhav
Information theory and coded communication, including related fields such as signal processing and mechanical statistics
Kiril Solovey
Multi-robot systems; robot planning and control; sampling-based algorithms; smart mobility; autonomous driving; societal aspects of autonomous mobility systems; discrete and continuous optimization.
Daniel Soudry
Theoretical investigation of learning capabilities in neural networks.
Ayellet Tal
Computer graphics, with an emphasis on geometric aspects of graphics, and deep learning for computer graphics
Ronen Talmon
Signal processing, with an emphasis on geometric methods and manifold learning.
Nir Weinberger
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.
Data and Decision Sciences
Itai Arieli
Game theory, Economic theory, Bayesian learning, evolutionary game theory
Yakov Babichenko
Game Theory, Learning and complexity of equilibria, Information in games: Information aggregation, Strategic communication of information.
Dov Dori
Conceptual modeling with Object-process Methodology: Graph algorithms, Reasoning, Cause-and-effect explaining
Yuval Emek
Algorithmic foundations of decentralized and interactive decision making
Dan Garber
Algorithmic foundations of Machine Learning, Data Science, and Optimization
Nadav Hallak
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
Ron Lavi
Algorithmic Game Theory, Electronic Commerce, Social Networks Internet Auctions
Asaf Levin
Combinatorial optimization problems, worst case analysis of algorithms for combinatorial optimization problems
Roi Reichart
Natural Language Processing, Machine Learning.
Shoham Sabach
Continuous Optimization, Theory and Algorithms, Methods for large-scale optimization problems, Applications in Engineering and Science.
Uri Shalit
Causality and causal inference, Machine learning and its applications in healthcare
Shimrit Shtern
Optimization under uncertainty, data-driven optimization, large-scale optimization.
Ran Smorodinsky
Game theory, Mechanism design
Reshef Meir
Game theory, Mechanism design, Artificial intelligence, Strategic behavior
Mathematics
Nadav Dym
Theory of Machine Learning, Equivariant Machine Learning, and Optimization.
Nir Gavish
Epidemiological theory, Super-conductivity, Electrolyte solutions
Ron Levie
Mathematical foundations of deep learning, Graph neural networks, Applied harmonic analysis, Time-frequency and wavelet analysis
Alexander Nepomnyashchy
Instabilities and pattern formation, Anomalous transport
Amy Novick-Cohen
Phase transitions, wetting, grain boundary migration, Higher order parabolic equations, Surface diffusion
Amir Sagiv
Uncertainty Quantification, Measure and Optimal Transport, Sampling algorithms, Mathematical Foundations of Quantum Mechanics, Topological Insulators, Dispersive PDEs
Ehud Yariv
Fluid Mechanics
Gilad Gour
Mathematical aspects of quantum information science and the foundations of quantum mechanics
Mechanical Engineering
Amir Gat
Modeling physical phenomena at the interface between solid- and fluid-mechanics for applications in metafluidics and soft robots.
Christian Grussler
Nonnegative Matrices, Montone Systems, Low-Complexity Modelling, Low-Rank/Sparse Optimization, Online Learning, Statistics on Manifolds
Gal Shmuel
mathematical modeling of metamaterials, Homogenization of partial differential equations for composite materials
Oded Gottlieb
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).
Medicine
Noam Kaplan
3D genome organization, Modelling molecular processes and genomic data, Machine learning & probabilistic models, Biological data analysis
Shimon Marom
Electrical phenomena in point and extended biological systems; low-dimensional models of excitability.
Yoni Savir
At the Savir lab, our goal is to study, both experimentally and theoretically, Information processing in biological systems and its failure in aged cells
Shai Shen-Orr
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.
Physics
Guy Bunin
Biophysics & Non-Equilibrium Statistical Mechanics