RAIL Group Members
The RAIL Group is comprised of Prof. Gregory J. Stein and his students. In addition to graduate student mentorship, Prof. Stein is an active mentor for the GMU ASSIP program, for which he advises 3–4 high school students each year in summer research.
Assistant Prof.
Gregory J. Stein
I am an Assistant Professor of Computer Science at George Mason University. My research, at the intersection of robotics and machine learning, is centered around developing representations that allow robots to better understand the impact of their actions, so that they may plan quickly and intelligently in a dynamic and uncertain world. I have received awards for my work and teaching, including Best Paper Finalist and Best Oral Presentation at the 2018 Conference on Robot Learning.
Feel free to get in touch on twitter and learn more about my work at my lab website.
Current Students & Advisees
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Abhishek Paudel, PhD Candidate
Areas of Interest: task planning under uncertainty, introspection for deployment-time improvement, fast model selection and prompt selection.
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Abhish Khanal, PhD Candidate
Areas of Interest: multi-robot task planning under uncertainty.
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Dzung Bui, PhD Candidate
Areas of Interest: multi-robot motion planning, information gathering for multi-robot planning under uncertainty.
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Raihan I. Arnob, PhD Candidate
Areas of Interest: task planning under uncertainty, long-horizon information gathering, abstractions for hierarchical task planning under uncertainty.
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Roshan Dhakal, PhD Candidate
Areas of Interest: task and motion planning, anticipatory planning.
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Md. Ridwan Hossain Talukder, PhD Student
Areas of Interest: task planning, anticipatory planning in solo and shared environments.
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Morayo Ogunsina, PhD Student
Areas of Interest: task planning under uncertainty.
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Philip Baldoni, PhD Candidate
Part time student. Areas of Interest: underwater autonomous vehicles, planning under uncertainty.
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Nathaniel Mack, PhD Student
Part time student. Areas of Interest: vision-based object search and exploration, reinforcement learning for navigation.
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Arnab Debnath, PhD Candidate
Co-Supervised by Jana Kosecka. Areas of Interest: vision-based object search and exploration, reinforcement learning for navigation.
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Mohamed Aghzal, PhD Student
Co-supervised by Ziyu Yao. Areas of Interest: large language models, generative AI for planning.
