News and Events: Conferences

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28 June - 2 July 2021, 16th Computer Science Symposium in Russia (CSR 2021), Sochi (Russia) or Virtual

Date: 28 June - 2 July 2021
Location: Sochi (Russia) or Virtual
Deadline: Thursday 24 December 2020

CSR is an annual international conference held in Russia that is designed to cover a broad range of topics in Theoretical Computer Science.

Topics include, but are not limited to: (i) algorithms and data structures (ii) computational complexity, including hardness of approximation and parameterized complexity (iii) randomness in computing, approximation algorithms, fixed-parameter algorithms (iv) combinatorial optimization, constraint satisfaction, operations research (v) computational geometry (vi) string algorithms (vii) formal languages and automata, including applications to computational linguistics (viii) codes and cryptography (ix) combinatorics in computer science (x) computational biology (xi) applications of logic to computer science, proof complexity (xii) database theory (xiii) distributed computing (xiv) fundamentals of machine learning, including learning theory, grammatical inference and neural computing (xv) computational social choice (xvi) quantum computing and quantum cryptography (xvii) theoretical aspects of big data.

Opening lecture: Tim Roughgarden (Columbia University, USA).

Authors are invited to submit an extended abstract or a full paper of at most 12 pages in English, not including references, in the LNCS format (LaTeX, as pdf; final version with source).

Proofs and other material omitted due to space constraints are to be put into a clearly marked appendix to be read at discretion of the referees. Papers must present original (and not previously published) research. Simultaneous submission to journals or to other conferences with published proceedings is not allowed. The proceedings of the symposium will be published in Springer's LNCS series.

For more information, see or contact .

Please note that this newsitem has been archived, and may contain outdated information or links.