Hem Regmi
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Hem RegmiPhD Candidate
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About Me
I am currently working as a Graduate Research Assistant at SyReX Lab under supervision of Dr. Sanjib Sur at the Department of Computer Science & Engineering, University of South Carolina (UofSC). My research interest includes Deep Learning for Imaging Classification, Generative Adversarial Networks (GANs) for Millimeter Wave, Autonoumous Driving and Artificial Intelligence. Before joining UofSC, I worked as Controls Engineer at Tesla, Inc for 2 years. I have completed my M.Sc. in Electrical Engineering from University of Toledo, Ohio, USA in and undergraduate degree in Electronics and Communication from Tribhuvan University, Nepal. Please look at my resume for detail and follow my research works on github.
News
- May, 2022 - Received Student Travel Grant Award at ACM SIGMETRICS 2022
- Apr, 2022 - Poster accepted in ACM SIGMETRICS'22
- Dec, 2021 - Argus paper accepted in ACM SIGMETRICS'22: A first-of-its-kind machine-learning framework for robust millimeter-wave indoor network deployment.
- July, 2021 - SquiggleMilli paper accepted in ACM IMWUT'21: A first-of-its-kind machine-learning augmented handheld SAR imaging with a squiggle motion of mobile millimeter-wave devices.
- Mar, 2021 - Best Poster Award at HotMobile'21 for VisualMM , an early work on visual map and machine learning aided 5G picocell placement
- Mar, 2021 - Best Poster Runner-up Award at HotMobile'21 for ZigZagCam , an early work on machine learning augmented hand-held millimeter-wave imaging.
Honors and Awards
- 2022 - Won Student Travel Grant Award at ACM SIGMETRICS 2022
- 2021 - Won Best Poster Award at HotMobile'21
- 2021 - Won Best Poster Runner-up Award at HotMobile'21
- 2017 - Attended one week Fanuc Training for Robot Programming
- 2016 - Won Outstanding Thesis Award for Master's Thesis at The University of Toledo
- 2011 - Participated in ABU Robocon 2011
- 2009 - Volunteered in LOCUS 2009
- 2009 - Won Golden Jubliee Award
Publications
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VisualMM: Visual Data & Learning Aided 5G Picocell Placement (Best Poster Award)
Timothy Dayne Hooks, Hem Regmi, Sanjib Sur
The 22nd International Workshop on Mobile Computing Systems and Applications (HotMobile'21) [PDF] -
ZigZagCam: Pushing the Limits of Hand-held Millimeter-Wave Imaging (Best Poster Runner-up Award)
Hem Regmi, Moh Sabbir Saadat, Sanjib Sur, Srihari Nelakuditi
The 22nd International Workshop on Mobile Computing Systems and Applications (HotMobile'21) [PDF] -
SquiggleMilli: Approximating SAR Imaging on Mobile Millimeter-Wave Devices
Hem Regmi, Moh Sabbir Saadat, Sanjib Sur, Srihari Nelakuditi
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, IMWUT 2021 [PDF] [Presentation] -
Argus: Predictable Millimeter-Wave Picocells with Vision and Learning Augmentation
Hem Regmi, Sanjib Sur
Proceedings of the ACM on Measurement and Analysis of Computing Systems,Volume 6, Issue 1, March 2022 [PDF] -
A System for Real-Time Syringe Classification and Volume Measurement Using a Combination of Image Processing and Artificial Neural Networks
Hem Regmi, Jerry Nesamony, Scott M Pappada, Thomas John Papadimos, Vijay Devabhaktuni
Journal of Pharmaceutical Innovation [PDF] -
A New Computational Decision Support System for Material Selection and Real-Time Monitoring and Evaluation of Aseptic Technique when Compounding Sterile Preparations
Hem Regmi, Jerry Nesamony, Vijay Devabhaktuni
Journal of Pharmaceutical Innovation [PDF]
Patents
- US Patent Application 63/192,345 Filed on May 2021
Human-Perceptible and Machine-Readable Shape Generation and Classification of Hidden Objects
Sanjib Sur, Hem Regmi