Research Scholars

Manash Pratim Pathak

Manash Pratim Pathak

Research Scholar • Joined Oct 2026

I’m Manash, moving from electrical circuits to full-stack code, and finally to the frontier of AI. I love exploring how raw zeros, ones, and data can be wired together to mimic complex thought. While I lean toward LLMs, efficient systems and AI safety, I’m fundamentally open to chasing whatever sparks my curiosity. Away from the screen, you’ll usually find me banging tables over a game on Lichess, reading biographies, catching up on anime, or letting a philosophy podcast drift into the background of a slow day.

Kalyani Prashant Kolte

Kalyani Prashant Kolte

Research Scholar (Co-Supervised by Dr. Shyamanta M Hazarika) • Joined Oct 2025

"The unknown isn't a risk, it's an invitation" Hi, I’m Kalyani, fascinated by how we can make machines think smarter with less crafting lightweight, memory- and hardware-efficient algorithms that do more with fewer bits, bytes, and watts. Code feels like a playground to me where logic, math, and creativity collide, and something new always emerges from the chaos. When I’m not chasing efficiency curves, you’ll probably find me chasing rebounds on the basketball court, because both research and basketball are about timing, precision, and not giving up after a few missed shots.

Gourish Majumdar

Gourish Majumdar

Research Scholar • Joined Oct 2025

Hi there! I’m Gourish Majumdar, currently exploring the fascinating world of deep learning — from physics-inspired models that borrow wisdom from nature’s equations to questions of privacy and security in modern AI systems. I come from a physics background, where you spend years chasing constants of nature — and now I’m in deep learning, where even the loss function can’t stay constant for five epochs. Somewhere between conserved quantities and exploding gradients lies my comfort zone. When I’m not pondering over gradients or loss functions, you’ll probably find me reading random science facts, watching movies, or getting lost in music. Still figuring things out — both in research and in life!

Vaishnavi Nagabhushana

Vaishnavi Nagabhushana

Research Scholar • Joined Aug 2024

Hey there! I’m Vaishnavi N , I explore the fascinating intersection of brains and machines — building systems that not only think but adapt. My work focuses on neuro-inspired AI, computer vision, TinyML, and continual learning — shaping AI that evolves like we do. When I'm not training machines to be a little more human, you’ll find me painting walls into stories or swimming my way through ideas.

Kartikay Agrawal

Kartikay Agrawal

Research Scholar • Joined Jan 2024

“Curiosity kills a cat, not a Research Scholar” I am Kartikay, I like diving into understanding brain mechanisms and translating them into neuroscience-inspired, efficient ML algorithms. After all, what’s an algorithm without math standing over it with a stick, demanding it confess its crimes? When I’m not wrangling data or debugging code, you’ll probably find me in an amphitheatre or a stage (probably with my guitar). Basically, I try to balance logic with a little bit of drama.

Alumni

Prakhar Shankar

Master Student (Cosupervised)

Indus Insights

Anjali Jaiswal

Masters (Cosupervised)

Tata Electronics

Tanurima Halder

Masters (Cosupervised)

IIT Bombay

Aditya Gupta

B-Tech

MS Student, Carnegie Mellon University

Pokala Rithuraj

B-Tech

Tata Electronics

Pushkal Mishra

B-Tech

PhD student, University of California-San Diego

Aditya Somasundaram

B-Tech

MS Student, Columbia University

Ameya Chatur

B-Tech

MS Student, Johns Hopkins University

Syed Saqib Habeeb

B-Tech

MS Student, Rice University

Venkata Raghav Ambati

B-Tech

AI/ML Engineer, Realpage