NIT Srinagar Scholar Secures IndiaAI Fellowship, First from Jammu Kashmir Institute | Kashmir Life

SRINAGAR: 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 from across the country, with representation from only three National Institutes of Technology (NITs), underlining the competitive nature of the fellowship. He is pursuing his doctoral research under the supervision of Dr Neeraj Gupta, Assistant Professor in the Department of Electrical Engineering at the institute.

Dr 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 profile.

Director NIT Srinagar, Prof Binod Kumar Kanaujia, congratulated the scholar and said the achievement reflects the institute’s growing research ecosystem and focus on innovation in emerging domains.

“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,” he said.

Registrar Prof Atikur Rehman said the achievement was encouraging and indicative of the institute’s strong academic foundation and emphasis on nurturing talent in emerging and socially relevant fields.

The IndiaAI Fellowship, a flagship initiative under the IndiaAI Mission, aims to support outstanding doctoral researchers working in frontier areas of artificial intelligence. It provides a monthly stipend, an annual research grant, and support for presenting research at international conferences.

Kanth’s research focuses on integrating artificial intelligence with renewable energy systems to develop adaptive and sustainable solutions for next-generation power grids. His work is expected to contribute to improving efficiency, reliability, and scalability in clean energy systems.