Research Fields

Computer Applications

 

 

Computational Biology (Bioinformatics)

Computational methods for advancement of modern biology and medicine: Understanding biological systems using combinatorial and statistical models. Analysis of biological systems and networks. Models for understanding disease, human mutation and evolution. Development of algorithms for analysis of very high volume biomedical data, including gene expression, sequence variation, protein interactions and metabolic networks.

Development and implementation of efficient algorithms and research in Structural Biology, such as structural comparison of proteins, biomolecular recognition, computer-aided drug design and protein folding. Formulation of these problems in a solid computational framework which allows application of graph-theoretical, string matching, and geometric matching algorithms.

Researchers: 

Prof.Dan Halperin, Prof.Eytan Ruppin, Prof.Ron Shamir, Prof.Roded Sharan, Prof.Haim Wolfson, Prof.Elhanan Borenstein

 

 

 

Historical Document Analysis

 

Digital humanities; large-scale manuscript analysis; manuscript reconstruction; computational paleography.

 

Researchers: 

Prof.Lior Wolf, Prof.Nachum Dershowitz, Prof.Haim Wolfson

 

 

 

 

Natural Language Processing

 

Developing computational methods for processing, encoding, and generating natural language text. Areas of interest include building and analyzing neural models for natural language understanding across wide areas such as semantics, machine translation, question answering, text-to-sql parsing, and language modeling, with an emphasis on few-shot training, self-supervised learning, and generalization.

 

Researchers:

Prof.Nachum Dershowitz, Prof.Amir Globerson, Dr.Omer Levy, Prof.Jonathan Berant, Dr. Mor Pipek

 

 

 

 

Computational and Combinatorial Geometry and Application

Design and analysis of efficient algorithms for basic geometric problems and their applications to robotics, computer graphics, computer vision, image processing, pattern recognition, geographical data processing, solid modeling and computer-aided design, VLSI design, statistics, and operations research. Combinatorial analysis of geometric structures.

 

Researchers: 

Prof.Noga Alon, Prof.Dan Halperin, Prof.Micha Sharir, Dr.Amit Bermano, Dr. Tal Wagner

 

 

 

 

 

Robotics

Algorithmic motion planning; Assembly planning and automated manufacturing; Design and implementation of integrated robotics systems; Robot kinematics, kinematics structures with many degrees of freedom.

 

Researchers: 

Prof.Dan Halperin, Prof.Micha Sharir

 

 

 

Machine Learning

Biologically motivated learning and visual preprocessing related to brain functions, high order elements and their application; Neural computation; Medical and biological applications of neural computation; Various aspects of computational learning theory, including statistical learning and statistical parameter estimation, learning complexity analysis, machine learning. 

Researchers: 

Prof.Yishay Mansour, Prof.Hezy Yeshurun, Prof.Amir Globerson, Dr.Nadav Cohen, Prof.Lior Wolf, Dr.Tomer Koren, Dr.Yair Carmon. Dr. Tal Wagner, Dr. Yuval Dagan, Dr. Inbar Seroussi


 

 

 

Visual Computing, Geometric modeling and Computer Graphics

 

Algorithms for image and texture synthesis, digital surface geometry, digital photography, image and video processing, geometric and graphics modeling.

 

Researchers: 

 Prof.Haim Wolfson, Prof.Hezy Yeshurun, Prof.Daniel Cohen-Or, Prof.Lior Wolf, Dr.Amit Bermano

 

 

 

 

Databases

Advanced database applications, including data integration, object-oriented and semi-structured information, Web-based applications, Big Data, Data Provenanace and the interaction between textual information and databases. Study of data models, query processing and optimization (and algorithms thereof).

Researchers: 

Prof.Arnon Avron, Prof.Tova Milo, Prof.Daniel Deutch

 

 

 

Image and Signal Processings

Use of wavelets for signal and image processing and other numerical applications; Compression of still and animated images; Adaptive denoising for speech and textured images; Feature detection and discrimination from wavelet dictionaries. Machine learning tools for signal morphology analysis, with applications to EEG, MEG, fMRI, and heart sounds. 

Researchers: 

Prof.Amir Averbuch, Dr.Amit Bermano and researchers from the Department of Applied Mathematics, School of Math.

 

 

 

Privacy 

Look at your smartphone. Do you think that the company that manufactured it is collecting information about you? Do you care? Data driven systems are guiding decisions in many areas of society, and the way in which this is happening is increasingly complex. As a result, we are constantly confronting the need to balance the benefits of these systems with the various negative consequences that can come along with those, and in particular, with privacy issues. In the field of data privacy we study the possible ways for organizations to collect and analyze statistical data on individuals in a way that does not compromise their privacy.                                                                                     

Researchers:

Dr.Uri Stemmer

 

 


 

 

 

Economics and Computation

 

 

Researchers: 

Prof.Michal Feldman, Prof.Amos Fiat

 

 

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