International Conference on Computer Science, Machine Learning and Algorithms - (ICCPSMLA-26)


22nd - 23rd October, 2026 | Bechar, Algeria

Multi-format (In-person/Virtual)

Registration Options

Explore conference registration categories designed for every mode of participation.

Important Dates

Pre-registration Deadline

22nd September, 2026

Paper Submission Deadline

27th September, 2026

Last Date Of Registration

7th October, 2026

Date Of Conference

22nd - 23rd October, 2026

Downloads

Conference Session Tracks

SDG Wheel

Aligned with

UN Sustainable Development Goals

This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals. It fosters knowledge exchange, innovation, and collaborative engagement.

SDG 4 SDG 4 — Quality Education
SDG 9 SDG 9 — Industry, Innovation and Infrastructure
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All Session Tracks

Track 01
Advanced Algorithms and Complexity Theory

This track focuses on the design and analysis of advanced algorithms, exploring their computational complexity and efficiency. Researchers are invited to present innovative approaches to algorithmic challenges across various domains.

Track 02
Machine Learning Techniques and Applications

This session aims to delve into the latest advancements in machine learning, including deep learning, support vector machines, and neural networks. Contributions that showcase practical applications and theoretical insights are highly encouraged.

Track 03
Intelligent Systems and Computational Learning

This track emphasizes the development of intelligent systems that leverage computational learning theories. Papers discussing the integration of logic, proof systems, and learning algorithms are welcome.

Track 04
Object-Oriented Programming and Software Engineering

This session invites discussions on object-oriented programming paradigms and their impact on software engineering practices. Topics may include design patterns, software architecture, and best practices in coding.

Track 05
Computational Linguistics and Natural Language Processing

This track explores the intersection of computer science and linguistics, focusing on computational models for natural language processing. Submissions that address challenges in language understanding and generation are encouraged.

Track 06
Concurrent Algorithms and Data Structures

This session is dedicated to the study of concurrent algorithms and data structures that enhance performance in multi-threaded environments. Contributions that propose novel solutions to synchronization and resource sharing are sought.

Track 07
Automata Theory and Formal Languages

This track examines the theoretical foundations of automata, formal languages, and their applications in computer science. Papers that explore new models or applications of automata theory are particularly welcome.

Track 08
Decision Trees and Association Rule Learning

This session focuses on methodologies for decision tree learning and association rule mining in data analysis. Researchers are invited to present novel techniques and case studies demonstrating their effectiveness.

Track 09
Computational Models and Simulation

This track investigates various computational models and their applications in simulating complex systems. Papers that offer insights into model design, implementation, and validation are encouraged.

Track 10
Computer Animation and Visual Computing

This session explores the latest trends in computer animation and visual computing technologies. Contributions that address innovative techniques in rendering, animation, and user interaction are welcome.

Track 11
Lambda Calculus and Type Systems

This track focuses on the theoretical aspects of lambda calculus and its applications in type systems. Submissions that explore the implications of type theory in programming languages are highly encouraged.

Empowering Research Continuity

At Research Leagues, academic engagement continues without interruption despite the current global situation. Researchers can present and publish through online and integrated participation pathways.