Khoshrav Piran Doctor

Amhest, MA 01002

I am a final year student in the Ph.D. program at the College of Information and Computer Science at the University of Massachusetts, Amherst. I work under the guidance of Professor Rod Grupen at the Laboratory of Perceptual Robotics. My research focuses on long-term autonomy and decision-making under partial observability for robotic systems. I develop active exploration methods to make robots efficiently learn predictive models from experience, prioritizing sample efficiency, task-relevant saliency, and broad coverage of initially unknown state spaces.

I completed my Bachelor of Engineering in Information Technology from K. J. Somaiya College of Engineering in 2016 and proceeded to work as a Software Developer at Aitoe Labs developing video analytics softwares for online surveillance, search and summarization. While pursuing my undergraduate degree, I had the opportunity to work on a few extremely interesting projects including Square Off and Team Eta.

news

Jan 26, 2026	Successfully defended my PhD dissertation. Teaching robots to learn from direct interaction and act under uncertainty and partial observability. (Yes, that makes me Dr. Doctor.)

selected publications

Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision

Vishal Kaushal, Rishabh Iyer, Suraj Kothawade, and 3 more authors

In 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 2019

Bib HTML

@inproceedings{kaushal2019learning,
  title = {Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision},
  author = {Kaushal, Vishal and Iyer, Rishabh and Kothawade, Suraj and Mahadev, Rohan and Doctor, Khoshrav and Ramakrishnan, Ganesh},
  booktitle = {2019 IEEE Winter Conference on Applications of Computer Vision (WACV)},
  pages = {1289--1299},
  year = {2019},
  organization = {IEEE},
}

Learning Intrinsically Motivated Transition Models for Autonomous Systems

Khoshrav Doctor, Hia Ghosh, and Roderic Grupen

In 2022 IEEE International Conference on Development and Learning (ICDL), 2022

Bib HTML

@inproceedings{doctor2022learning,
  title = {Learning Intrinsically Motivated Transition Models for Autonomous Systems},
  author = {Doctor, Khoshrav and Ghosh, Hia and Grupen, Roderic},
  booktitle = {2022 IEEE International Conference on Development and Learning (ICDL)},
  pages = {9--14},
  year = {2022},
  organization = {IEEE},
}

Deep learning diagnosis plus kinematic severity assessments of neurodivergent disorders

Khoshrav P Doctor, Chaundy McKeever, Di Wu, and 4 more authors

Scientific Reports, 2025

Bib HTML

@article{doctor2025deep,
  title = {Deep learning diagnosis plus kinematic severity assessments of neurodivergent disorders},
  author = {Doctor, Khoshrav P and McKeever, Chaundy and Wu, Di and Phadnis, Aditya and Plawecki, Martin H and Nurnberger Jr, John I and Jos{\'e}, Jorge V},
  journal = {Scientific Reports},
  volume = {15},
  number = {1},
  pages = {20269},
  year = {2025},
  publisher = {Nature Publishing Group UK London},
}

Evaluating Sensorimotor Abstraction on Curricula for Learning Mobile Manipulation Skills

Oscar Youngquist, Alenna Spiro, Khoshrav Doctor, and 1 more author

In 2022 IEEE International Conference on Development and Learning (ICDL), 2022

Bib HTML

@inproceedings{youngquist2022evaluating,
  title = {Evaluating Sensorimotor Abstraction on Curricula for Learning Mobile Manipulation Skills},
  author = {Youngquist, Oscar and Spiro, Alenna and Doctor, Khoshrav and Grupen, Roderic},
  booktitle = {2022 IEEE International Conference on Development and Learning (ICDL)},
  pages = {75--80},
  year = {2022},
  organization = {IEEE},
}