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), 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), security of decentralized systems (Kokoris-Kogias), computer graphics and physics simulation (Wojtan), and computational fabrication and optimization (Bickel) are some of the research strengths of our faculty.
COMPLETE COMPUTER SCIENCE RESEARCH GROUP DETAILS ON ISTA’S MAIN SITE:
- Distributed Algorithms and Systems
- Computer Graphics and Digital Fabrication
- Computer-aided Verification, Game Theory
- Algorithms, Computational Geometry and Computational Topology
- Design and Analysis of Concurrent and Embedded Systems
- Secure, Private, and Decentralized Systems (SPiDerS)
- Discrete Optimization
- Combinatorics and Probability
- Machine Learning and Computer Vision
- Causal Learning and Artificial Intelligence
- Data Science, Machine Learning, and Information Theory
- Programming Languages and VerificationMICHAEL SAMMLER
- Discrete and Computational Geometry and Topology
- Automated and Foundational Verification of Low-Level Programs
- Computer Graphics and Physics Simulation
Here is a video presenting the Computer science study track.
In case you cannot access YouTube, this video is also available here.
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