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.



Prof. Dan HalperinProf. Eytan RuppinProf. Ron ShamirProf. Roded SharanProf. Haim Wolfson and Prof. Elhanan Borenstein.



Historical Document Analysis

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



Prof. Lior WolfProf. Nachum Dershowitz and Prof. Haim Wolfson



Natural Language Processing

Machine translation. Semantic analysis.



Prof. Nachum DershowitzProf. Amir GlobersonDr. Omer Levy and Prof. Jonathan Berant.



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.



Prof. Noga AlonProf. Dan HalperinProf. Micha Sharir and Dr. Amit Bermano.




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



Prof. Dan Halperin and 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. 



Prof. Yishay MansourProf. Hezy YeshurunProf. Amir GlobersonDr.Nadav CohenProf. Lior Wolf, Dr. Tomer Koren and Dr. Yair Carmon



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.



 Prof. Haim WolfsonProf. Hezy YeshurunProf. Daniel Cohen-OrProf. Lior WolfDr. Amit Bermano.




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).



Prof. Arnon AvronProf. Tova MiloProf.Daniel Deutch.



Image and Signal Processing

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. 



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



Economics and Computation


Prof. Michal Feldman, Prof. Amos Fiat.


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