KUNAL DARGAN
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MS. (RESEARCH), DEPARTMENT OF COMPUTER SCIENCE AND ENGINEERING
SCHOOL OF INFORMATION TECHNOLOGY
INDIAN INSTITUTE OF TECHNOLOGY DELHI (IIT D)
PROJECT SCIENTIST
DBT, GOVERNMENT OF INDIA
COMPUTER VISION ASSISTED NEURO-ENDOSCOPY SURGERY
Welcome to my academic website. I'm currently M.S.(R) student under the guidance of Dr. Chetan Arora.
My research is focused on the application of Computer Vision and Graphics to make affordable Neurosurgery simulators. These technology-driven solutions help in training resident neurosurgeons by automatically scoring the trainee based on subtle motion cues such as hand-eye coordination, dexterity, and effectualness.
I'm interested in visual scene understanding through video object segmentation, visual tracking, self-supervised learning, and 3D geometry to create autonomous surgery evaluation systems.
Connect with me at :
EMAIL : kunal.dargan[at]cse.iitd.ac.in
LINKEDIN : https://www.linkedin.com/in/kunaldargan/
GITHUB : https://github.com/Kunaldargan
UPDATES:
(New) Paper got accepted at WACV, 2023 ( first round )
(New) Professional service as Reviewer at WACV,2023
Designed a Neurosurgery simulator with Haptics controls for Centre of Excellence, AIIMS IIT Delhi under guidance of Prof Subodh Kumar and Prof Rahul Narain at IIT D.
Attended ( in person ) 3D Vision Summer School at IIIT H
Served as Portfolio Project Mentor at Ai4all Community in the summer of 2022 (June 2022 to August 2022) ;
https://ai-4-all.org/summer-programs/Ai4all Community Talk;
Discover Ai Expert chat on the topic Ai for Healthcare and Explainability
AI4ALL is a US-based nonprofit dedicated to increasing diversity and inclusion in AI education, research, development, and policy
TIMELINE:
2020- MS. Research IIT Delhi
Joint Entrance Screening Test, JEST 2020, All India Rank 53
2019-2020, IIT Delhi and Galactica.Ai Research Assistant under Prof Dr. Prathosh AP ;
Drone monitoring of solar fields and preemptive maintenance, Near-Infrared images to RGB domain adaptationResearch paper accepted at WACV,2019
V. Kaushal et al., "Demystifying Multi-Faceted Video Summarization: Tradeoff Between Diversity, Representation, Coverage and Importance,"
2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2019, pp. 452-461, doi: 10.1109/WACV.2019.00054.2017-2019, AitoeLabs Machine Learning Engineer
Custom analytics on-demand in CCTV, Facial recognition, Edge Deep Learning, Video Summarization2013-2017, Graduated BTech, Computer Science, University of Delhi
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