Srinagar, Mar 25: A PhD scholar from the National Institute of Technology Srinagar has become the first recipient of the prestigious IndiaAI Research Fellowship from the Institute as well as from Jammu and Kashmir.
Saqib Asgar Kanth is among 146 candidates selected across the country, with representation from only three National Institutes of Technology (NITs), stressing the highly competitive nature of the fellowship. He is pursuing his doctoral research under the supervision of Dr Neeraj Gupta, Assistant Professor at Electrical Engineering Department of the Institute.
Dr Neeraj Gupta said Kanth is the first and only scholar from NIT Srinagar to have received the fellowship so far, marking a notable addition to the institute’s academic and research credentials.
Director NIT Srinagar, Prof. Binod Kumar Kanaujia congratulated the scholar, said that this achievement reflects the growing research ecosystem at the institute and our sustained focus on promoting innovation in emerging and impactful domains. It is a matter of pride for the entire institution, he said.
“Such recognitions highlight the academic excellence and research potential of our scholars. It also reinforces the institute’s commitment to contributing meaningfully to national missions in areas like artificial intelligence and sustainable energy,” Prof. Kanaujia said.
Institute’s Registrar, Prof. Atikur Rehman said that it is encouraging to see our scholars making a mark at the national level.
“This achievement reflects the strong academic foundation at NIT Srinagar and our commitment to nurturing talent in emerging and socially relevant fields,” he added.
The IndiaAI Fellowship, a flagship initiative under the IndiaAI Mission, is aimed at supporting outstanding doctoral researchers working in frontier areas of artificial intelligence.
It provides a monthly stipend, annual research grant, and support for presenting work at international conferences, thereby fostering high-quality research and innovation in the country.
Kanth’s research focuses on the integration of artificial intelligence with renewable energy systems, with the objective of developing intelligent, adaptive, and sustainable solutions for next-generation power grids.
His work is expected to contribute to enhancing efficiency, reliability, and scalability in clean energy systems, a sector that is increasingly critical in the context of climate change and growing energy demands.
