ICALP 2020 : 47th International Colloquium on Automata, Languages and Programming
Conference Series : International Colloquium on Automata, Languages and Programming
Call For Papers
Authors are invited to submit an extended abstract of no more than 12 pages, excluding references and the front page(s) (authors, affiliation, keywords, abstract, ...), presenting original research on the theory of computer science. All submissions must be formatted in the LIPIcs style and submitted via Easychair to the appropriate track of the conference, using the following link:
The use of pdflatex and the LIPIcs style are mandatory: papers that deviate significantly from the required format may be rejected without consideration of merit.
No prior publication and no simultaneous submission to other publication outlets (either a conference or a journal) is allowed.
Technical details necessary for a proper scientific evaluation of a submission must be included in the 12-page submission or in a clearly labelled appendix, to be consulted at the discretion of program committee members. Authors are strongly encouraged to also make full versions of their submissions freely accessible in an on-line repository such as ArXiv, HAL, ECCC.
According to the ICALP policy, for every accepted paper it is required that at least one author attends the meeting and delivers the talk. The paper may be excluded from the proceedings if none of the authors attends the conference.
Best Paper Awards
As in previous editions of ICALP, there will be best paper and best student paper awards for each track of the conference. In order to be eligible for a best student paper award, a paper should be authored only by students and should be marked as such upon submission.
Papers presenting original research on all aspects of theoretical computer science are sought. Typical but not exclusive topics of interest are:
Track A (Algorithms, Complexity and Games)
Algorithmic Aspects of Networks and Networking
Algorithms for Computational Biology
Algorithmic Game Theory
Combinatorics in Computer Science
Computational Learning Theory
Design and Analysis of Algorithms
Foundations of Machine Learning
Foundations of Privacy, Trust and Reputation in Network
Network Models for Distributed Computing
Network Economics and Incentive-Based Computing Related to Networks
Network Mining and Analysis
Parallel, Distributed and External Memory Computing
Randomness in Computation
Theory of Security in Networks
Track B (Automata, Logic, Semantics and Theory of Programming)
Algebraic and Categorical Models
Automata, Games, and Formal Languages
Emerging and Non-standard Models of Computation
Databases, Semi-Structured Data and Finite Model Theory
Formal and Logical Aspects of Learning
Logic in Computer Science, Theorem Proving and Model Checking
Models of Concurrent, Distributed, and Mobile Systems
Models of Reactive, Hybrid and Stochastic Systems
Principles and Semantics of Programming Languages
Program Analysis and Transformation
Specification, Verification and Synthesis
Type Systems and Theory, Typed Calculi