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 (Last updated: Dec 2022) for detail and follow my research works on github.

News

July, 2022 - MiShape accepted at ACM IMWUT 2022
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.

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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

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Publications

Journals

MiShape: Accurate Human Silhouettes and Body Joints from Commodity Millimeter-Wave Devices
Aakriti Adhikari, Hem Regmi, Sanjib Sur, Srihari Nelakuditi
IMWUT/UbiComp’22 Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol. 6, No. 3, Article 96, September 2022. [Paper] [Slides] [Talk]
Argus: Predictable Millimeter-Wave Picocells with Vision and Learning Augmentation
Hem Regmi, Sanjib Sur
POMACS/SIGMETRICS’22 Proceedings of the ACM on Measurement and Analysis of Computing Systems, Vol. 6, No. 1, Article 2, March 2022. [Paper][Slides] [Talk]
SquiggleMilli: Approximating SAR Imaging on Mobile Millimeter-Wave Devices
Hem Regmi, Moh Sabbir Saadat, Sanjib Sur, Srihari Nelakuditi
IMWUT/UbiComp’21 Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Vol. 5, No. 3, Article 125, September 2021. [Paper] [Slides] [Talk]
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
JPI’19 Journal of Pharmaceutical Innovations, Vol. 14, No. 4, December 2019. [Paper]
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
JPI’17 Journal of Pharmaceutical Innovations, Vol. 12, No. 2, June 2017. [Paper]

Conferences

Towards Deep Learning Augmented Robust D-Band Millimeter-Wave Picocell Deployment
Hem Regmi, Sanjib Sur
SIGMETRICS/PERFORMANCE’22 Proceedings of the ACM Joint International Conference on Measurement and Modeling of Computer Systems, Mumbai, India, June 2022. [Paper] [Poster]
Argus: Predictable Millimeter-Wave Picocells with Vision and Learning Augmentation
Hem Regmi, Sanjib Sur
SIGMETRICS/PERFORMANCE’22 Proceedings of the ACM Joint International Conference on Measurement and Modeling of Computer Systems, Mumbai, India, June 2022. [Paper] [Slide] [Talk]

Workshops

🏆 VisualMM: Visual Data & Learning Aided 5G Picocell Placement
Timothy Dayne Hooks, Hem Regmi, Sanjib Sur
HotMobile’21 ACM International Workshop on Mobile Computing Systems and Applications, Virtual, February 2021. [Paper] [Poster] (Best Poster Award)
🏆 ZigZagCam: Pushing the Limits of Hand-held Millimeter-Wave Imaging
Hem Regmi, Moh Sabbir Saadat, Sanjib Sur, Srihari Nelakuditi
HotMobile’21 ACM International Workshop on Mobile Computing Systems and Applications, Virtual, February 2021. [Paper] [Poster] (Best Poster Runner-up Award)

Thesis

🏆 A real-time computational decision support system for compounded sterile preparations using image processing and artificial neural networks
Hem Regmi, MS Thesis’16 [PDF](Best Thesis Award)

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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

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