Adarsh Modh Email & Phone Number

San Francisco Bay Area

San Jose, California, United States

Currently working in the Media Analytics (CV) department with Dr. Manmohan Chandraker on problems related to Mobility and 3D Scene Understanding. Responsible for building a robust car platform which will serve as a testbed for demonstrating our lab’s research work on areas like Monocular 3D Object Detection with Depth Estimation, Lidar Perception.

Greater Philadelphia Area

• Danillidis Group, GRASP Lab (Research group of Dr. Kostas Daniilidis)Project: Geometric Methods in Computer Vision
• Played a pivotal role in tackling challenges within multi-view geometry, encompassing tasks such as matching, triangulation, tracking, and re-identification.
• Developed a novel method for establishing multi-view correspondence, thereby assigning 3D consistent IDs to birds inhabiting an aviary. This was implemented by the integration of geometric concepts, specifically.
• Contributed significantly to the advancement of 3D pose and shape estimation for birds by devising a methodology that involved fitting an articulated 3D mesh model to keypoints and masks within a multiview dataset..

Philadelphia, Pennsylvania, United States

TA for CIS 580: Machine PerceptionDeveloped interesting Geometric Computer Vision assignments for this course. https://sites.google.com/seas.upenn.edu/cis580spr20

Hyderabad Area, India

• Project Guide: Dr. K Madhava Krishna | Lab: Robotics Research Center | Project: Planning and Control for Autonomous Vehicles
• Developed an advanced motion planning framework aimed at generating optimized, collision-free trajectories essential for obstacle avoidance and seamless lane merging.
• Implemented a mid-level controller, enhancing the autonomy of the vehicle by efficiently regulating commands from the higher-level planner to the lower-level controller.
• Spearheaded the development of the Drive-by-Wire System which entailed the design and implementation of the lower-level control system for steering, braking, and throttle commands.

Bengaluru Area, India

• Project Guide: Dr. Radhakant Padhi | Vision-supported Autonomous Landing of Drones on Moving Platforms
• Addressed the challenge of 3D localization for an AR.Drone by successfully implementing an Extended Kalman Filter (EKF) to integrate data from both a Kinect sensor and onboard camera and IMU sensors.
• Pioneered a bio-inspired guidance algorithm rooted in Tau theory (time-to-collision) to enable precise and soft landings for the drone, thus contributing to the advancement of vision-supported autonomous drone landing.

Surat Area, India

It is a Student chapter at my undergraduate institute S.V. National Institute of Technology.Cutting Edge Visionaries(CEV) is basically SVNIT's version of TED. We hold weekly talks on matters ranging from latest technology to matured research. Our motto is to bridge the gap between academics and the industry.www.cevgroup.org

Master Of Science - Ms, Electrical And Systems Engineering

Specialization in Computer Vision, Machine Learning and Robotics

Bachelor Of Technology - Btech, Electrical And Electronics Engineering

Activities and Societies: President of a student chapter- Cutting Edge Visionaries CEV https://cevgroup.org/