Academic and Research Breakout

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Session Overview:
This breakout provides a platform for scholars, PhD candidates, and research institutions to explore and showcase the latest breakthroughs at the intersection of AI, IoT, and economic transformation. It’s designed to connect theoretical foundations with real-world impact by bridging academic rigor and practical innovation.

What to Expect:

• Emerging Theories and Models: Examine cutting-edge frameworks in AIoT, such as federated learning for decentralized networks, neural-symbolic systems, and next-gen sensor fusion.

• Research Showcases: Selected academics and students will present their current projects, highlighting how AIoT can drive innovation in industries like agriculture, transportation, health, and climate.

• Data-Driven Innovation: Discuss the role of open data ecosystems and synthetic data generation in driving research and innovation without compromising privacy.

• Interdisciplinary Collaboration: Explore the fusion of disciplines—computer science, economics, ethics, engineering, and environmental science—required to push AIoT boundaries.

• Academic-Industry Linkages: Highlight how universities can form strategic partnerships with startups, corporates, and government agencies to co-develop real-world solutions and commercialize research.

Who Should Attend:

• University faculty and deans

• R&D leaders from industry

• Research funding agencies and innovation hubs

• Researchers and PhD candidates

• Students interested in AIoT careers