About Me:
I am currently working as a Graduate Research Assistant 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.

Publications

• 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) (Virtual)
  [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) (Virtual)
  [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 [PaperLink]


• 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 [PaperLink]