GCET 2026

Track 1: Artificial Intelligence and Machine Learning
Generative AI, Large Language Models (LLMs), and Foundation Models
Agentic AI systems and autonomous decision-making agents
Multimodal AI (vision-language-audio integration)
Explainable AI (XAI), trustworthy AI, and interpretability
Federated learning and privacy-preserving machine learning
Reinforcement learning and deep reinforcement systems
AI for healthcare, finance, education, and climate modeling
Retrieval-Augmented Generation (RAG) systems
AI safety, alignment, and robust model training

Track 2: Quantum Computing
Quantum machine learning and hybrid quantum-classical systems
Post-quantum cryptography and secure communication
Quantum algorithms for optimization and simulation
Quantum error correction and fault-tolerant systems
Quantum networking and quantum internet
Quantum sensing and quantum materials simulation

Track 3: IoT, Cloud, Edge Computing and Blockchain Technologies
Edge AI and distributed intelligence systems
Cloud-native architectures and Kubernetes ecosystems
Serverless computing and function-as-a-service (FaaS)
Blockchain for IoT security and decentralized trust
Digital twins and cyber-physical systems
Web3 infrastructure and decentralized applications (DApps)
Zero-trust cloud security models
Smart cities and industrial IoT (IIoT)

Track 4: Robotics, AR/VR, and Human-Computer Interaction
Autonomous robotics and swarm intelligence systems
Human-robot collaboration and co-working systems
AR/VR/XR immersive computing and spatial computing
Brain-computer interfaces (BCI) and neurotechnology
Haptic interfaces and wearable computing
Intelligent prosthetics and assistive robotics
Metaverse interaction systems and digital humans

Track 5: Sustainable Technologies and Green Innovation
Green AI and sustainable computing models
Renewable energy optimization systems
Smart grids and decentralized energy systems
Carbon capture, climate modeling, and ESG analytics
Electric mobility and smart transportation systems
Circular economy and sustainable manufacturing
AI for climate prediction and environmental monitoring

Track 6: Ethics and Policy in Emerging Technologies
AI ethics, fairness, accountability, and bias mitigation
Responsible AI governance and regulatory frameworks
Data privacy laws and digital rights management
AI safety, alignment, and risk governance
Cybersecurity policy and digital sovereignty
Ethics of autonomous weapons and decision systems

Track 7: Data Science and Big Data Analytics
Scalable big data architectures and distributed systems
AutoML and automated data science pipelines
Graph neural networks and network analytics
Real-time streaming analytics and event-driven systems
Predictive analytics and decision intelligence
Data mining, feature engineering, and data-centric AI
Data visualization and storytelling systems

Track 8: Digital Transformation and Emerging Technologies
Industry 4.0 and smart manufacturing systems
AI-driven enterprise automation and transformation
FinTech, HealthTech, EduTech, and GovTech innovation
Digital twins in enterprise-scale systems
Hyperautomation and intelligent workflows
Metaverse-based business ecosystems
Intelligent ERP and cloud transformation

Track 9: 5G and Next-Generation Connectivity
5G, 5G-Advanced, and 6G communication systems
Ultra-low latency and high-reliability networks (URLLC)
Network slicing, SDN, and NFV architectures
AI-driven network optimization and self-healing networks
Satellite networks and LEO constellations
Edge-cloud convergence and distributed networking
Massive IoT and device-to-device communication