I am a Postdoctoral Associate in Marine Robotics Group with Prof. John Leonard at MIT Computer Science and Artificial Intelligence Laboratory (CSAIL).
My research endeavors have been focused on addressing “How to enable robots to perceive unstructured enviroments with a vision-based learning approach?”. My research interests include field robotics, robot vision, and computer vision. With my Electrical Engineering background, I have worked on hardware side of robots as well as algorithms. I have worked on underwater, field, and manipulation robots. Outside of my research hours, I like to be active (e.g., swim and play tennis). I am also a certified scuba diver. Check out my research projects and publications.
I received a Ph.D. in Computer Science from the Department of Computer Science and Engineering at the University of Minnesota Twin Cities. I was a member of IRV LAB advised by Junaed Sattar.
2023.09 I submitted a paper IBURD: Image Blending for Underwater Robotic Detection.
2023.09 I submitted a paper Visual Diver Face Recognition for Underwater Human-Robot Interaction .
2023.07 I received my Ph.D. degree in Computer Science from the University of Minnesota Twin Cities.
2023.05 I attended ICRA 2023 in London and presented Semantic Mapping with Confidence Scores through Metric Embeddings and Gaussian Process Classification.
2023.02 I attended 20th Annual Marine Robotics Workshop & Field Trials in Holetown, Barbados, where we conducted intensive underwater robot trials in Caribbean Sea for 5 days and I presented my research.
An Instance-Segmentation Labeled Dataset of Trash Observations.
A Bounding Box Labeled Dataset of Underwater Trash.
- Toward robotic autonomy in data-scarce and visually challenging environments, MIT Computer Science & Artificial Intelligence Laboratory Seminar, Host: John Leonard, Cambridge, MA. March 2023.
- Toward robotic perception in data-scarce and visually challenging environments. 20th Annual Marine Robotics Workshop & Field Trials, Host: Greg Dudek, Holetown, Barbados. February 2023.
- Robust Object Detection, Localization, and Exploration for Autonomous Robots in Unstructured Environments. Samsung AI Center New York, Host: Volkan Isler, New York, NY. Januaray 2022.
- Semantically-Aware Strategies for Stereo-Visual Robotic Obstacle Avoidance, ICRA virtual presentation, 2021.
- A Generative Approach Towards Improved Robotic Detection of Marine Litter, ICRA virtual presentation, 2020.
- Towards the Detection and Localization of Underwater Trash by Autonomous Robotic Platforms, University of Minnesota VCAI Seminar, Minneapolis, MN. April 2019.
International Journals/Conferences Reviewer
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||2023, 2022, 2021, 2020, 2019|
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||Program Committee Member for 2021|
Faculty Hiring Commitee
- Student Representative, Department of Computer Science and Engineering, University of Minnesota
Selected Honors and Awards
- ICRA Robotics and Automation Society Travel Grant, $1,300. May 2023.
- Received 2nd place award at the 21st Korean Computer Scientists and Engineers Association in America (KOCSEA) Technical Symposium, University of Nevada, Las Vegas, November 6-7, 2021.
- UMII MnDRIVE Graduate Assistantship, University of Minnesota MnDrive, $50,000. Awarded in recognition of academic record and potential for future research productivity in Robotics, 2019.
- Summa Cum Laude, South Dakota State University (GPA: 3.96/4.0) (Top in the EE program), Dept. of EE, 2015.
- Power System Protection Scholarship, Schweitzer Engineering Lab. (SEL), $4,000. Awarded in recognition of outstanding academic and personal achievements, 2015.
- BENNET Fellowship, South Dakota State University, $3,000. First international student recipient. Awarded to one student annually in recognition of outstanding academic and personal achievements, 2014.
- Samsung Full Scholarship, Sung Kyun Kwan University, $40,000. Awarded in recognition of outstanding Korean SAT score and high school GPA, 2007-2015.
Do it fast, but do it correctly.
Documentation is a Love Letter That You Write to Your Future Self.–Damian Conway