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Aakriti Adhikari     PhD Student, SyReX Lab Computer Science and Engineering University of South Carolina Address: 1207 Storey Innovation Center 550 Assembly St, Columbia, SC 29201 Email: aakriti@cse.sc.edu Google Scholar   CV   LinkedIn

Publications

(* marks indicates co-primary authors)

• Poster: MatGAN: Sleep Posture Imaging using Millimeter-Wave Devices
  Aakriti Adhikari, Siri Avula, Sanjib Sur
  INFOCOM'23 IEEE International Conference on Computer Communications, Newyork ,USA, May 2023
  [ Paper ]
• Argosleep: Monitoring Sleep Postures from Commodity Millimeter-Wave Devices
  Aakriti Adhikari, Sanjib Sur
  INFOCOM'23 IEEE International Conference on Computer Communications, Newyork ,USA, May 2023
  [ Paper ]
• 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]
• mmFlow: Facilitating At-Home Spirometry with 5G Smart Devices
  Aakriti Adhikari*, Austin Hetherington*, Sanjib Sur
  SECON'21 IEEE International Conference on Sensing, Communication and Networking, Virtual, July 2021
  [ Paper ] [ Slides ] [ Talk ]
• Poster: mmSleep: Monitoring Sleep Posture from Commodity Millimeter-Wave Devices
  Aakriti Adhikari, Siri Avula, Sanjib Sur
  MobiSys'22 Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services, Oregon,USA, July 2022
  [ Paper ]
• Poster: MilliPose: Facilitating Full Body Silhouette Imaging from Millimeter-Wave Device
  Aakriti Adhikari, Sanjib Sur
  UbiComp-ISWC'21 ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers, Virtual, September 2021
  [ Paper ]
  
• Poster: SpiroMilli: Bringing Ad-hoc Spirometry to 5G Devices
  Aakriti Adhikari*, Austin Hetherington*, Sanjib Sur
  HotMobile'21 ACM International Workshop on Mobile Computing Systems and Applications, Virtual, February 2021
  [ Paper ]
• Thesis: Skin Cancer Detection using Generative Adversarial Network and an Ensemble of deep Convolutional Neural Networks
  Aakriti Adhikari
  UToledo The University of Toledo, December, 2019
  [ Paper ]

Patents

• US Patent Application 63/182,257, Transforming Cheap Spirometers to Estimate Flow-Volume Graph by Deep Learning,
  Sanjib Sur, Aakriti Adhikari, Filed on April 2021
• US Patent Application 63/176,514, Facilitating At-Home Spirometry with Millimeter-Wave Devices,
  Sanjib Sur, Aakriti Adhikari, Filed on April 2021