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WACIIS-2026 Call for Papers

Authors are invited to submit their original work and ideas to WACIIS-2026 as per the submission guidelines. Please refer to the Submission Guidelines and Important Dates pages for full details.

Topics of Interest

Major topics of interest to the workshop include (but are not limited to) the following four tracks:

Track 1: Computational Intelligence & Machine Learning

  • General AI Systems
  • Self-Supervised & Representation Learning
  • Neuro-Symbolic AI
  • Neuromorphic Computing
  • Energy-Efficient Green AI
  • AI Model Compression & Distillation
  • Adversarial ML
  • Reinforcement Learning
  • Privacy-Preserving Learning

Track 2: AI for IoT & Smart Systems

  • Edge Intelligence & Edge AI
  • Smart Embedded Systems and Robotics
  • Cognitive Systems and Robotics
  • Drones and Internet of Things
  • AI-Driven Smart Agriculture
  • AI-Enabled Energy Grids
  • Industrial AI (Industry 5.0)
  • Medical Robotics Intelligence
  • Autonomous Robotics & Swarm Robotics

Track 3: Conversational AI

  • Large Language Models
  • Retrieval-Augmented Generation (RAG)
  • Conversational Agents & AI Assistants
  • Speech Intelligence & Dialogue Systems
  • Multilingual AI
  • Human-to-Machine Interaction
  • Speech Recognition and Synthesis
  • Context and Situation Awareness
  • Social Intelligence and Social Cognitive Systems

Track 4: Visual Intelligence Systems & Multimedia

  • Action Recognition & Human Behaviour Understanding
  • Vision Transformers & Foundation Vision Models
  • 3D Vision & Scene Understanding
  • Autonomous Perception Systems
  • Visual Surveillance Intelligence
  • Multimodal Vision-Language Models
  • Multimodal Emotion Recognition
  • Haptic Interaction & Sensory Feedback Systems
  • Immersive AI

Topics of interest are indicative and not exhaustive. Contributions in adjacent areas are welcome.

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Call for Papers Flyer

Download the complete Call for Papers document with all details about submission guidelines, important dates, and topics of interest. Share it with your colleagues and research community.

Download CFP (PDF)