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General Information
Full Name | Ragib Arnab |
Languages | English |
Eligibility | U.S. Citizen |
Education
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May 2024 Bachelor of Science in Computer Science
The University of Texas at Dallas - Relevant Courses: Machine Learning, Intelligent Systems
Experience
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Oct 2024 - Present Post Bachelors Student, Information Sciences (CCS-3)
Los Alamos National Laboratory - Developing foundational models for scientific computing
- Mentors: Garrett Kenyon, Michal Kucer
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May 2023 - Aug 2023 Technical Intern, AI and Data Analytics
Pacific Northwest National Laboratory - Created an object detection pipeline for aerial drones with event cameras
- Mentor: Yijing Watkins
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Jun 2022 - May 2023 Undergraduate Student, Information Sciences (CCS-3)
Los Alamos National Laboratory - Applied sparse coding on lidar depth completion for autonomous driving
- Mentor: Garrett Kenyon
Publications
- D. Hannan, R. Arnab, G. Parpart, G. Kenyon, E. Kim, and Y. Watkins, “Event-to-video conversion for overhead object detection,” SSIAI 2024.
- R. Arnab, G. Kenyon, “Sparse Coding for Depth Completion on Autonomous Vehicles [Slides],” 2022.
Projects
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Nova, Applied Systems Lab at UTD
- Worked as a software developer on an open-source self-driving project
- Developed lidar mapping, localization, and SLAM systems
- Integrated 3D object detection and tracking software
- Advisor: Justin Ruths
Academic Interests
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Machine Learning and Computational Neuroscience
- Self-supervised learning
- Video understanding
- Energy-based models
- Neuromorphic computing
Other Interests
- Hobbies: Soccer, Hiking, Running, Weightlifting, etc.