The 2nd IEEE International Conference on Artificial Intelligence for Learning and Optimization (ICoAILO 2026) is an international scientific forum dedicated to advancing research and innovation in Artificial Intelligence for Learning and Optimization. Under the theme “Shaping the Future of Society-Aware and Sustainable Intelligence,” the conference emphasizes AI approaches that are not only technically robust but also socially responsible, ethically grounded, and environmentally sustainable. ICoAILO 2026 provides a premier platform for presenting theoretical foundations, experimental findings, and applied solutions that address real-world challenges while aligning AI development with societal values and long-term sustainability goals.

ICoAILO 2026 is organized by the Center of Excellence of Artificial Intelligence for Learning and Optimization (CoE AILO), Telkom University, sponsored by the IEEE Signal Processing Society Indonesia Chapter, and supported by Telkom University. With a strong foundation in academic excellence and industry collaboration, the conference brings together researchers, engineers, practitioners, and policymakers from around the world to exchange ideas, foster interdisciplinary partnerships, and accelerate the development of AI technologies that are adaptive, human-centric, and sustainable in shaping the future of intelligent societies

ICoAILO 2025 invites papers, original & unpublished work from individuals active in the broad theme of the conference. Potential topics include, but are not limited to:

Track 1. Machine Learning Systems

  • Learning Algorithms & Methods

  • Deep Learning & Foundation Models

  • Reinforcement Learning & Decision Making

  • Natural Language Processing

  • Explainable & Trustworthy ML

  • Large Language Model

  • Probabilistic & Causal

  • Big Data Analytics

  • Data Mining

  • Text Mining

Track 2. Optimization

  • Mathematical Optimization

  • Stochastic, Online & Robust Optimization

  • Metaheuristics & Swarm Intelligence

  • Multi‑objective & Large‑Scale Optimization

  • Optimization for Deep/RL/LLMs

  • Optimization in Engineering Systems

Track 3. Cyber Security

  • Access control, authentication and authorization

  • Cryptology & Cryptography

  • Network and Cloud security

  • Mobile, Wireless & IoT Security

  • Database & Data Privacy/Security

  • Security Architecture & Governance

  • Risk Assessment & Management

  • Digital Forensics & Incident Response

  • Malware/Threat Detection

  • Biometrics & Behavioral Security

Track 4. AI Applications

  • AI in Healthcare & Life Sciences

  • AI in Transportation, Mobility & Aerospace

  • AI in Energy & Earth/Environmental Systems

  • AI for Networks & Telecommunications

  • Intelligent Systems & IoT

  • Robotics & Autonomous Systems

  • Business Intelligence & Finance