Scholar
Saket Pradhan
Google Scholar ID: L9m7ehEAAAAJ
University of Michigan - Ann Arbor
Citations & Impact
Citations
6
H-index
2
i10-index
0
Publications
4
Co-authors
2
list available
Publications
Resume (English only)
Academic Achievements
- - Published research on domain adaptive semantic segmentation
- - Developed AgroQR, a novel approach for open-world environmental sensing using a UAV fleet enabling hyperlocal surface monitoring
- - As a Software Engineer at Invideo AI, developed a NeRF model, saving $15K/month
- - At Nucsoft, developed an edge-based OCR redaction tool, reducing processing latency by 8% and inference costs by 40%
- - Led the autonomy sub-team within a 40-member Formula Student team, contributing to a 2nd place national finish at Formula Imperial 2020
Research Experience
- - Graduate Student Instructor at the University of Michigan Robotics Department, co-instructor for ROB 550: Robotics Systems Lab
- - Graduate Student Research Assistant at the Autonomous Robotic Manipulation Lab (ARMLAB), building perception, navigation, and manipulation systems for the Boston Dynamics' Spot Robot
- - Computer Vision Research Intern at the Indian Institute of Science (IISc), working on 'Domain Adaptive Semantic Segmentation of Indian Road Scenes' for autonomous driving and navigation systems as part of the WIRIN project
Education
- Master's from the University of Michigan, studying Robotics, with a keen interest in vision-guided mobility systems. Advisors included Peter Gaskell (ROB 550) and Dmitry Berenson (ARMLAB).
Background
- Software Developer | Chess Player | Robotics Enthusiast. Building applications on computer vision and real-time AI. Presently working with Lucid Motors on ADAS features for their upcoming cars.
Miscellany
- Enjoys rock/ice climbing and studying linguistics, particularly the history and evolution of world languages. Avid racing fan and involved in Formula Student projects during undergrad.
