Raihan Islam Arnob

Graduate Research Assisstant, RAIL group, GMU | Fairfax, Virginia | rarnob@gmu.edu

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2201 Volgenau School of Engineering

4511 Patriot Cir

Fairfax, VA 22030

I am Raihan. I am a Ph.D. student in the Department of Computer Science at George Mason University (GMU). Currently, I am working as a Graduate Research Assisstant in the RAIL group under the super vision of Dr. Gregory J. Stein.

I obtained my Bachelors Degree in Computer Science and Engineering (CSE) from Islamic University of Technology (IUT), Bangladesh, in 2016. I joined IUT as a Lecturer in the Department of CSE, where I worked until December 2019. I have completed my Masters Degree in Computer Science from GMU in 2023 and I am continuing to work towards my Ph.D here as well.

My research interest involes making robot efficiently operate in partially known environments. This composites my fiddling space to robotics, planning under uncertainty, and machine learning.

News

Mar 17, 2026 Presented: Pre-defense dissertation presentation and cleared for public defense.
Mar 28, 2025 Presented: Proposal defense presentation and advanced to candidacy.
Jan 27, 2025 Accepted Paper: Anticipatory Planning for Performant Long-Lived Robot in Large-Scale Home-Like Environments at ICRA’25.

Latest posts

Selected publications

  1. IEEE/ICRA
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    Anticipatory Planning for Performant Long-Lived Robot in Large-Scale Home-Like Environments
    Md Ridwan Hossain Talukder, Raihan Islam Arnob, and Gregory J Stein
    In IEEE International Conference on Robotics and Automation (ICRA), 2025
  2. IEEE/RSJ IROS
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    Active Information Gathering for Long-Horizon Navigation Under Uncertainty by Learning the Value of Information
    Raihan Islam Arnob, and Gregory J Stein
    In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024
  3. IEEE/RSJ IROS
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    Improving Reliable Navigation Under Uncertainty via Predictions Informed by Non-Local Information
    Raihan Islam Arnob, and Gregory J Stein
    In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023