Publications
(* marks indicates co-primary authors)
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MiSleep: Human Sleep Posture Identification from Deep Learning Augmented Millimeter-wave Wireless Systems
Aakriti Adhikari, Sanjib Sur
TIOT'24
ACM Trans. Internet Things,
Vol 5,No. 2, Article 9, May 2024
[ Paper ]
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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 ]
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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]
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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 ]
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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 ]
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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 ]
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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 ]
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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
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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
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US Patent Application 63/176,514,
Facilitating At-Home Spirometry with Millimeter-Wave Devices,
Sanjib Sur, Aakriti Adhikari,
Filed on April 2021