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CSEML 2026 : 14th International Conference on Computer Science, Machine Learning, and Engineering

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Link: https://cse2026.org/
 
When Apr 18, 2026 - Apr 19, 2026
Where Melbourne, Australia
Submission Deadline Feb 28, 2026
Notification Due Mar 14, 2026
Final Version Due Mar 21, 2026
Categories    artificial intelligence   machine learning   computer science   engineering
 

Call For Papers

14th International Conference on Computer Science, Machine Learning, and Engineering (CSEML 2026)

April 18 ~ 19, 2026, Melbourne, Australia

Hybrid -- Registered authors can present their work online or face to face.

Scope & Topics

14th International Conference on Computer Science, Machine Learning, and Engineering (CSEML 2026) brings together leading researchers, practitioners, and innovators from across the global computing community to explore the rapidly evolving landscape of intelligent systems, advanced computation, and theoretical foundations. As breakthroughs in artificial intelligence, large scale machine learning, distributed systems, and computational theory continue to reshape science, industry, and society, CSEML 2026 serves as a premier forum for presenting cutting edge research, exchanging ideas, and fostering interdisciplinary collaboration.

By uniting theory, systems, and AI under one umbrella, CSEML 2026 provides a unique platform for researchers to engage across disciplines, discover new synergies, and shape the future of computing. We invite contributions that push boundaries, challenge assumptions, and advance the state of the art in this dynamic and rapidly expanding field.

Topics of interest include, but are not limited to, the following

  • Artificial Intelligence
  • Machine Learning
  • Deep Learning Architectures and Optimization
  • Natural Language Processing (NLP)
  • Foundation Models and Large Language Models (LLMs)
  • Multimodal Learning
  • Generative AI (Diffusion Models, GANs, Generative Agents)
  • Reinforcement Learning and Decision-Making
  • Trustworthy, Explainable, and Responsible AI
  • AI Safety, Alignment, and Robustness
  • Federated, Distributed, and Edge Machine Learning
  • AutoML and Neural Architecture Search
  • Data Mining, Knowledge Discovery, and Knowledge Graphs
  • Graph Machine Learning and Network Science
  • Causal Inference and Causal Machine Learning
  • TimeSeries and Spatiotemporal Modeling
  • Data Privacy, Fairness, and Ethics
  • Algorithms and Data Structures
  • Computational Complexity and Optimization
  • Probabilistic and Approximation Algorithms
  • Theoretical Machine Learning
  • Automata Theory and Formal Languages
  • Program Semantics, Verification, and Formal Methods
  • Information Theory and Coding
  • High-Performance Computing (HPC)
  • Parallel, Distributed, and Cloud Computing
  • Operating Systems and Virtualization
  • Distributed Systems and Consensus Protocols
  • Network Architecture, 5G/6G, and Software-Defined Networking
  • Edge, Fog, and IoT Systems
  • Storage Systems and Databases
  • Scientific Computing and Numerical Methods
  • Simulation, Modeling, and Digital Twins
  • Computational Physics, Biology, and Chemistry
  • Quantum Computing and Quantum Information Science
  • Cybersecurity and Intrusion Detection
  • Cryptography and Secure Computation
  • Blockchain and Distributed Ledger Technologies
  • PrivacyPreserving Machine Learning
  • Secure Software Engineering and Vulnerability Analysis
  • Computer Vision and Image Understanding
  • Robotics and Autonomous Systems
  • HumanRobot Interaction
  • SLAM, Motion Planning, and Embodied AI
  • Speech, Audio, and Signal Processing
  • Software Engineering, Testing, and DevOps
  • Software Automation and AI for Code
  • Software as a Service (SaaS) and Cloud-Native Engineering
  • RealTime and Embedded Systems
  • AI for Science, Healthcare, and Sustainability
  • Computational Social Science
  • Bioinformatics and Computational Genomics
  • Smart Cities and Cyber Physical Systems
  • Digital Health and Medical Informatics
  • HumanComputer Interaction and User Experience
  • Ethical, Legal, and Societal Implications of AI

Paper Submission

Authors are invited to submit papers through the conference Submission System by February 28, 2026. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by The proceedings of the conference will be published by Computer Science Conference Proceedings (H index 46) in Computer Science & Information Technology (CS & IT) series (Confirmed).

Selected papers from CSEML 2026, after further revisions, will be published in the special issue of the following journals.

Important Dates

Submission Deadline: February 28, 2026
Authors Notification: March 14, 2026
Final Manuscript Due: March 21, 2026

Co - Located Event

***** The invited talk proposals can be submitted to cse@cse2026.org

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