Alessandro Chiesa

Web site:  Web site:  https://ssc.epfl.ch

Web site:  Web site:  https://sin.epfl.ch

EPFL IC IINFCOM COMPSEC
BC 245 (Bâtiment BC)
Station 14
1015 Lausanne

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Administrative data

Fields of expertise

Cryptography, Complexity Theory, Computer Security

Education

Ph.D.

Computer Science

MIT

2014

M.Eng.

Computer Science

MIT

2010

S.B.

Computer Science

MIT

2009

S.B.

Mathematics

MIT

2009

Teaching & PhD

Teaching

Computer Science

Communication Systems

Foundations of Probabilistic Proofs

The discovery and study of probabilistic proof systems, such as PCPs and IPs, have had a tremendous impact on theoretical computer science. These proof systems have numerous applications (e.g., to hardness of approximation) but one of their most compelling uses is a direct one: to construct cryptographic protocols that enable super fast verification of long computations. This course introduces students to the foundations of probabilistic proof systems, covering both classical results as well as modern efficient constructions. The playlist of video lectures is here and the syllabus is here.

Courses

Algorithms I

The students learn the theory and practice of basic concepts and techniques in algorithms. The course covers mathematical induction, techniques for analyzing algorithms, elementary data structures, major algorithmic paradigms such as dynamic programming, sorting and searching, and graph algorithms.

Foundations of probabilistic proofs

Probabilistic proof systems (eg PCPs and IPs) have had a tremendous impact on theoretical computer science, as well as on real-world secure systems. They underlie delegation of computation protocols and hardness of approximation. This course covers the foundations of probabilistic proof systems.