I am a PhD student in the Department of Computer Science at George Mason University, where I’m advised by Prof. Greg Stein in the Robotic Anticipatory Intelligence & Learning (RAIL) Group.
My research interests are in the areas of robotics and machine learning. I’m interested in improving the robot’s abilities to adapt to multiple environments through policy selection during deployment. My current research focus is on developing techniques with sound theoretical foundations that enable robots to quickly identify the best policy from a set of policies without having to deploy each of them to guide robot behavior.
I graduated with a degree in computer engineering from Tribhuvan University, IOE, Pulchowk Campus in Nepal. In the past, I have also worked with UNICEF Nepal and local partners on projects that include efficient information dissemination and data collection based on mobile technologies, automated interactive surveys and data analytics. I was also an AI Fellow at Fusemachines.
|Oct 1, 2023||Presented the paper Data-Efficient Policy Selection for Navigation in Partial Maps via Subgoal-Based Abstraction at IROS 2023, Detroit, Michigan, USA.|
|Jun 21, 2023||Our paper Data-Efficient Policy Selection for Navigation in Partial Maps via Subgoal-Based Abstraction was accepted at IROS 2023. [Paper] [Blog].|
|May 19, 2023||Earned MS in Computer Science (ML Concentration) degree from George Mason University|
|Dec 2, 2021||Successfully completed PhD Comprehensive Exam|
|May 12, 2021||Received Outstanding Graduate Teaching Assistant Award|
|Aug 26, 2019||Joined George Mason University in Fall 2019 for PhD in Computer Science|
|Dec 31, 2018||Graduated from Institute of Engineering, Tribhuvan University|