TRACK 1: Artificial Intelligence and Computer Science

Topics: Machine learning and deep learning architectures; Natural language processing and conversational AI; Computer vision, image and video analysis; Reinforcement learning and autonomous systems; Explainable and trustworthy AI; Edge AI and federated learning; AI for cybersecurity and privacy preservation; Knowledge representation and reasoning; Human–computer interaction and intelligent interfaces; AI in healthcare, education, and sustainability applications

TRACK 2: Communications and Signal Processing

Topics: 5G/6G networks and beyond; Wireless communication protocols and optimization; Cognitive radio and spectrum management; Internet of Things (IoT) and massive machine-type communication; MIMO, beamforming, and antenna technologies; Satellite and space communications; Optical and quantum communications; Signal processing for speech, audio, and biomedical data; Adaptive filtering, compression, and coding techniques; Machine learning for communication systems and signal processing

TRACK 3: Electrical and Electronic Engineering

Topics: Power systems stability, protection, and optimization; Renewable energy integration and smart grids; Power electronics and energy conversion technologies; Electric vehicles and charging infrastructure; Embedded systems and hardware design

TRACK 4: Smart Manufacturing and Industry 5.0

Topics: Cyber-physical production systems; Human–machine collaboration in Industry 5.0; Digital twins and virtual factories; Industrial IoT (IIoT) for smart manufacturing; Robotics and cobotics in flexible production; Predictive maintenance and AI-driven quality control

SPECIAL SESSION: Computational and Artificial Intelligence for Transforming Educational Paradigms

The intersection of computer science and artificial intelligence is ushering in a revolutionary era for education. From personalized learning pathways and automated assessment to intelligent tutoring systems and immersive educational experiences, technology is fundamentally reshaping how we teach and learn. This special session aims to provide a premier interdisciplinary forum for researchers, academics, educators, and industry practitioners to present their latest innovations, discuss cutting-edge developments, and explore the future challenges and opportunities at the confluence of computing, AI, and education.

Session Chair: Regina Reine (Twigx Research; Manchester Metropolitan University, UK)

Topics: Intelligent Tutoring Systems (ITS) and Conversational Agents (Chatbots), Adaptive and Personalized Learning Environments, Learning Analytics, Natural Language Processing (NLP) for Automated Essay Scoring, Virtual Reality (VR) for Education, Gamification and Serious Games for Learning