| Topics |
- Mathematical Modeling and Simulation
- Numerical Analysis and Scientific Computing
- Probability, Statistics, and Stochastic Processes
- Industrial Mathematics and Engineering Applications
- Explainable AI and Interpretability in Applied Mathematics
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| Track Conveners |
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| Topics |
- Artificial Intelligence and Machine Learning in Business Transformation
- Digital Transformation and Cloud Computing for Enterprise and Education
- Data Science, Big Data, and Business Analytics
- Learning Technologies and Future of Education
- Computing for Sustainable Business and Social Impact
- Emerging Computing Paradigms and Future of Work
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| Track Conveners |
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| Topics |
- Quantum Computing and Quantum Information Theory (algorithms, hardware, error correction, applications in materials science and optimization)
- Quantum Sensors and Metrology (e.g., atomic clocks, precision measurement, quantum imaging)
- Quantum Materials and Devices (e.g., topological insulators, superconductors, 2D materials, spintronics)
- Foundations of Quantum Mechanics and their practical implications
- Computational Physics and High-Performance Computing
- Materials Physics and Engineering Sciences
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| Track Conveners |
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| Topics |
- Mathematical Foundations of Machine Learning
- Physics-Informed Neural Networks (PINNs) and Scientific Machine Learning
- Advanced Data Structures and Algorithms for Big Data
- Formal Methods and Verification for AI/ML Systems
- Quantum Algorithms for Data Science
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| Track Conveners |
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| Topics |
- Physics of Sensors and Transducers for Data Acquisition
- Signal Processing and Feature Engineering for Real-time Data
- DEdge AI and Federated Learning
- Data Fusion and Multi-Modal Data Integration
- Cyber-Physical Systems (CPS) and Digital Twins
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| Track Conveners |
- > Dr. Preetinder Singh Brar
- Dr. Kuldeep Sharma
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| Topics |
- Robotics and Autonomous Navigation
- Reinforcement Learning for Control and Decision Making
- Swarm Intelligence and Multi-Agent Systems
- Predictive Maintenance and Anomaly Detection
- Human-Robot Interaction and Human-AI Collaboration
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| Track Conveners |
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| Topics |
- Computational Physics with Data-Driven Enhancements
- Inverse Problems and Scientific Machine Learning
- Statistical Mechanics and Complex Networks for System Analysis
- Uncertainty Quantification and Propagation
- Simulation-Based Optimization and Digital Twins
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| Track Conveners |
- Dr. Jaswinder Singh
- Dr. Naveen Kumar
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| Topics |
- Fairness, Accountability, and Transparency (FAT) in AI
- Data Privacy and Security in Smart Environments
- Regulation and Governance of Autonomous Systems
- Sociophysics and Computational Social Science
- The Future of Work and Skills in an AI-Driven World
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| Track Conveners |
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| Topics |
- Healthcare, cyber security and agricultural solutions
- Deep intelligence into IoT (Internet of Things) and robotics
- Smart advertising and marketing
- Artificial Reasoning
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| Track Conveners |
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| Topics |
- Heuristic and nature inspired search
- Fuzzy and Rough Set
- Reinforcement Learning
- ANN, RNN, CNN, RBM and deep neural network
- NLP (natural language processing)
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| Track Conveners |
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