About the Virtual Talk
Talk Details
Title: Generative AI for Global Social Impact: Towards Solving the Deployment Bottleneck
Date & Time: Friday, 20 February 2026, 7:30 PM IST
Mode: Virtual
SPARC Workshop (February 2026)
About the Workshop
Multi-Agent AI for Controlled Sensing and Communications
Scheme for Promotion of Academic and Research Collaboration (SPARC) of the Ministry of Education, Government of India
A SPARC International Collaborative Initiative:
This workshop is organized as a collaborative academic initiative between:
About SPARC
The Scheme for Promotion of Academic and Research Collaboration (SPARC) is an initiative of the Ministry of Education, Government of India, aimed at strengthening the research ecosystem of India’s higher educational institutions by fostering academic and research collaborations between leading Indian institutions and globally ranked foreign universities through joint research projects involving mobility of faculty and students, promoting international expertise, bilateral partnerships, and global research visibility.
Overview
Next-generation communication networks require intelligent, decentralized control frameworks capable of handling dynamic environments, large-scale coordination, and efficient resource allocation. Multi-Agent Artificial Intelligence (AI) provides a principled foundation for designing scalable, fair, and adaptive sensing-and-communication systems.
This SPARC-sponsored workshop brings together leading researchers, faculty members, doctoral scholars, and advanced students to discuss recent advances in multi-agent learning, Markov games, fairness-driven resource allocation, reinforcement learning, and inverse reinforcement learning for controlled sensing and communication networks.
Objectives
- Introduce theoretical foundations of multi-agent control and learning in communication systems
- Discuss fairness-driven distributed decision-making in wireless networks
- Present advances in multi-agent reinforcement learning (RL) and inverse RL (IRL)
- Strengthen collaboration between Indian and international partner institutions
- Provide a platform for student research interaction and academic exchange
Workshop Themes
- 🎮 Markov Games for Controlled Sensing and Communications
- ⚖️ Fair Multi-Agent Learning (Max–Min Fairness, Nash Bargaining)
- 📡 Distributed Bandits and Learning with Limited Communication
- 🔄 Multi-Agent Reinforcement Learning for Resource Allocation
- 🧩 Inverse Reinforcement Learning for Autonomous Network Control
- 🚀 AI/ML Optimization for Communication Systems
