Computer Science at ISTA encompasses a wide variety of research topics, based on a solid foundation of mathematical rigor and a focus on developing new algorithms and formalisms.
Foundations of software-systems theory, game theory, and formal methods (Chatterjee, Henzinger, Sammler), distributed algorithms and systems (Alistarh, Monika Henzinger), machine learning, discrete optimization, and computer vision (Kolmogorov, Lampert), causal learning and artificial intelligence (Locatello), data science and information theory (Mondelli), computational geometry and topology (Edelsbrunner, Wagner), cryptography (Pietrzak), and computer graphics and digital fabrication (Wojtan, Ren) are some of the research strengths of our faculty.
COMPLETE COMPUTER SCIENCE RESEARCH GROUP DETAILS ON ISTA’S MAIN SITE:
- Distributed Algorithms and Systems
DAN ALISTARH - Bronstein’s Group
ALEX BRONSTEIN - Computer-aided Verification, Game Theory
KRISHNENDU CHATTERJEE - Algorithms, Computational Geometry and Computational Topology
HERBERT EDELSBRUNNER - Algorithms
MONIKA HENZINGER - Design and Analysis of Concurrent and Embedded Systems
THOMAS HENZINGER - Discrete Optimization
VLADIMIR KOLMOGOROV - Combinatorics and Probability
MATTHEW KWAN - Machine Learning and Computer Vision
CHRISTOPH LAMPERT
- Causal Learning and Artificial Intelligence
FRANCESCO LOCATELLO - Data Science, Machine Learning, and Information Theory
MARCO MONDELLI - Cryptography
KRZYSZTOF PIETRZAK - Geometric Computing and Digital Fabrication
SAMARA REN - Programming Languages and Verification
MICHAEL SAMMLER - Discrete and Computational Geometry and Topology
ULI WAGNER - Computer Graphics and Physics Simulation
CHRIS WOJTAN
Here is a video presenting the Computer science study track.
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