Outside research, I enjoy badminton and swimming. I am also passionate about
creating positive social impact, which led me to initiate Ralith
Milith, an
anti-drug society in Kashmir. When I am not training models, I am usually training
my badminton reflexes.
"What is now proved was once only imagined." -William Blake.
News
Mar 2026 :
Our recent work CarePilot
has been accepted to
CVPR 2026
(Findings Track).
Mar 2026 : Grateful to receive the DEI ICLR
2026 registration and travel grant support.
Jan 2026 : Our paper
Agent-X
was accepted to
ICLR 2026.
Congratulations to all the authors!
Oct 2025 : Received the
Outstanding Reviewer Award at
MICCAI 2025.
June 2024 : Successfully defended my
Master’s synopsis at
IIT Delhi
May 2024 : Proud to announce that
D-MASTER has been
accepted to MICCAI 2024!
Nov 2023 : Our paper got accepted at
WACV 2024 – looking
forward to sharing it with the community!
July 2023 : Presented our work at
CVIP
2023. Grateful for the opportunity!
Mar 2023 : Our research was accepted at
ICDSA 2023!
Jan 2023 : Contributed as a reviewer for
CVIP 2022/23 and HPEC 2023.
Aug 2022 : Began my Master’s journey at
IIT Delhi. An exciting chapter begins!
June 2022 : Graduated from
NIT Srinagar with the prestigious Gold
MSLA Award!
Feb 2021 : Won India’s largest National
Entrepreneurship Challenge hosted by
IIT Bombay. A game-changing experience!
Research
My research focuses on agents, with an emphasis on reasoning,
grounding, and decision-making. I study how large multimodal models generalize across
discriminative, generative, and perceptual tasks, particularly under out-of-distribution and
federated settings. My work explores domain adaptation, reinforcement learning, and
data-efficient learning to improve robustness and scalability. I am especially interested in
building reliable agents for real-world applications in healthcare and embodied AI.
Publications
Representative
All
* indicates equal contribution, † indicates my role as mentor
Higer
Secondary Class X with 92.6%
Class
XII with
91.8%
Community
In my academic journey, I transitioned into a research-focused lifestyle, driven
by a deep curiosity
to explore
Computer Vision and Medical Imaging. My path has been dynamic, with a domain
shift from
IoT to robotics, reflecting a continuous pursuit of learning and innovation.
I am an advocate for open-source contributions, as they foster collective growth
and help both
educators and learners critically engage with the wealth of information
available online. The
guidance and support
of my academic mentors and peers have been pivotal in shaping my early career,
and their influence
continues to
inspire me.
Building on this foundation, I am actively mentoring undergraduate and master’s
students in
computer vision, and I look forward to supporting more learners in the future. I
particularly
encourage students with diverse backgrounds or unconventional academic paths,
similar to my own, to
connect and
explore opportunities for growth and research.
If you are interested, send an introductory email that includes:
- A brief introduction about yourself.
- Your academic background and areas of interest.
- Your CV (optional but preferred).
