Jyotirmoy Mandal is an Assistant Professor in the Department of Civil and Environmental Engineering at Princeton University. His research involves understanding, controlling and modelling nano-to-macro scale radiative heat flows in both natural environments and artificial surfaces, with characterizing and mitigating ambient heat in a warming world as a guiding theme. He is also passionate about designing novel but inexpensive technologies to address critical needs in developing countries, such as water harvesting and disinfection.

Er. Kundana Lal is the Founder and President of Vitti Research Foundation, Founder of Univitti, and member of AI Universal University Board. Kundana, a visionary with over 30 years of experience in the field of Artificial Intelligence (AI), is a renowned thought leader and influencer in the global IT landscape. His proven track record in senior IT leadership, business development, and fostering executive-level relationships with Fortune 500 companies highlights his exceptional leadership. With an early M.Tech in computational intelligence, Kundana is a pioneering figure in AI and emerging technologies, showcasing expertise in diverse AI domains such as computer vision, natural language processing, predictive analytics, anomaly detection, information retrieval, and robotics.

Through his involvement in the establishment of AI Innovation Hubs and Exchanges, collaboration with industry and academia, and the design of accessible programs, he has played a pivotal role in harnessing the possibilities of AI. Furthermore, he is a Coach and Mentor at Vitti AI, exploring artificial intelligence's societal and economic implications and its synergy with human abilities. As the head of Vitti Research Foundation, Kundana's advocacy focuses on driving AI adoption for public benefit, ensuring a level playing field in India during the AI disruption, and promoting a holistic understanding of AI's broader implications beyond traditional boundaries.

Abstract: 

AI innovations for Water Problems in South Asia

AI holds great promise for addressing water management challenges in South Asia. Predictive analytics can forecast future water demands and rainfall patterns, aiding in resource planning. Smart irrigation with AI can optimize watering schedules, conserving water while ensuring crops receive adequate hydration. AI can also be leveraged to detect leaks in water distribution systems, minimizing water loss. Real-time water quality monitoring, flood prediction and management, and optimized wastewater treatment are other areas where AI can play a crucial role.

These innovations can prove valuable for South Asia, a region grappling with issues like monsoon variability, groundwater depletion, and urban water management. By leveraging AI, researchers can develop more efficient and sustainable water management strategies tailored to local needs. For instance, AI-enhanced desalination processes can provide fresh water in regions with limited freshwater resources. Overall, AI offers a powerful toolkit for enhancing water security and resilience in South Asia.