The 20th International Conference on Algorithmic Aspects in Information and Management (AAIM 2026) will be held during June 19–21, 2026. The conference is based at The University of Texas at Dallas and will be held online through conferencing software (No Registration Fee).

Important Dates (All deadlines are at 23:59, Dallas time)

Paper Submission Deadline (March 26, 2026)
Notification of Acceptance (May 6, 2026)
Camera-Ready Version Due (May 13, 2026)
Registration Deadline (TBA)
Conference Dates (June 19–21, 2026)


Publication and Special Issue
The conference proceedings will be published by Springer-Verlag in the Lecture Notes in Computer Science (LNCS) series. After the conference, selected papers will be invited to a special issue of journals: Theoretical Computer Science, Journal of Combinatorial Optimization. The invited papers will go through the normal reviewing process.



Call for Papers
The 20th International Conference on Algorithmic Aspects in Information and Management (AAIM 2026) will be held during June 19-21, 2026 through online conferencing tools. Interesting new results in all areas of algorithm design, operation research and combinatorial optimization and their applications are welcome. Both theoretical and experimental/applied works of general algorithmic interest are sought. Special considerations will be given to algorithmic research that is motivated by real-world applications. Experimental and applied papers are expected to show convincingly the usefulness and efficiency of the target algorithms in practical settings.

The topics include, but are not limited to:

Algorithms and data structures
Algorithmic game theory and incentive analysis
Approximation algorithms and online algorithms
Automata, languages, logic, and computability
Bioinformatics, computational biology and medicine, and biomedical applications
Biomedical imaging algorithms
Blockchain
Combinatorial optimization
Combinatorics and discrete structures related to algorithms and complexity
Communication networks and optimization
Complexity theory
Computational algebra, geometry, number theory, and statistics
Computational learning theory, knowledge discovery, and data mining
Cryptography, reliability, and security
Database theory, large databases, and natural language processing
Experimental algorithmic methodologies
Geometric information processing and communication
Graph algorithms and theory
Graph drawing and information visualization
Internet algorithms and protocols
Large graph algorithms and social network analysis
Optimization algorithms in economic and operations research
Parallel and distributed computing and multicore algorithms
Parameterized algorithms, heuristics, and analysis
Pattern recognition algorithms
Trustworthy algorithms and trustworthy software



past AAIM conference:
AAIM 2018:
https://aaim2018.wordpress.com/
AAIM 2021:
https://theory.utdallas.edu/AAIM2021/
AAIM 2024：
https://theory.utdallas.edu/AAIM2024/