Publications
·
J. Phillip Smith, A. Luong, S. Sarkar, H. Singh,
A. Singh, N. Patwari, Sneha Kumar Kasera, and K. Derr, “A Novel Software Defined Radio for Practical,
Mobile Crowd-sourced Spectrum Sensing,” in IEEE Transactions on Mobile
Computing, vol. 22, pages 1280-1300, March 2023.
·
Aniqua Baset, Christopher Becker,
Kurt Derr, Shamik Sarkar,
and Sneha Kumar Kasera, “AviSense:
A Real-Time System for Detection, Classification, and Analysis of Aviation
Signals,” in ACM Transactions on Sensor Networks, vol. 1, no. 19, pages
1-35, December 2022.
·
Jie Wang, Alex Orange, Gary Wong, Leigh Stoller, Jacobus Van der
Merwe, Sneha Kumar Kasera, and Neal Patwari, “Two
Measure is Two Know: Calibration-free Full-Duplex Monitoring for Software Radio
Platforms,” in arXiv:2212.08179 [eess.SP].
·
S. Sarkar, M. Buddhikot,
A. Baset, and Sneha Kumar Kasera, “Deep Radar: A Deep-Learning-based
Environmental Sensing Capability Sensor Design for CBRS,” in Proceedings of
the ACM Sigmobile 27h International
Conference on Mobile Computing and Networking (MOBICOM), October 2021.
·
Joe Breen, Andy Buffmire,
Jonathon Duerig, Kevin Dutt,
Eric Eide, Mike Hibler, David Johnson, Sneha Kumar Kasera, Earl Lewis, Dustin
Maas, Alex Orange, Neal Patwari, Dan Reading, Robert Ricci, David Schurig,
Leigh Stoller, Kobus Van der Merwe, Kirk Webb, Gary Wong, “Powder: Platform
for Open Wireless Data-driven Experimental Research,” in Computer
Networks Journal, vol. 197, October
2021.
·
Pavithra Chidambaram, Aarushi Sarbhai,
Aniqua Baset, Sneha Kumar Kasera,
and Milind Buddhikot, “Spectrum Sharing in CBRS Using
Blockchain,” in Proceedings of the 17th IEEE
International Conference on Mobile Ad-hoc and Smart Systems (MASS), December 2020.
·
Shamik Sarkar, Aniqua Baset, Harsimran Singh,
Phillip Smith, Neal Patwari, Sneha Kasera, Kurt Derr, and Samuel Ramirez, “LLOCUS: Learning-based
Localization Using Crowdsourcing,” in Proceedings of International
Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile
Networks and Mobile Computing (MOBIHOC), October 2020.
·
B.
Terry, N. Patwari, Sneha Kumar Kasera, and K. Van der Merwe, “Spectrum
Monitoring and Source Separation in POWDER,” in Proceedings of ACM Workshop on Wireless Networks Testbed,
Experimental Evaluation, and Characterization (WiNTECH),
September 2020.
·
Michael Matheny, Dong Xie, and Jeff M. Phillips, "Scalable Spatial Scan
Statistics for Trajectories", in ACM Transactions on Knowledge
Discovery from Data, 14 (6), no. 73, September 2020.
·
Mingxuan Han, Michael Matheny, and Jeff M. Phillips, "The
Kernel Spatial Scan Statistic", in Proceedings of ACM SIGSPATIAL
Conference, November 2019.
·
J.
Phillip Smith, Anh Luong, Shamik Sarkar, Harsimran Singh, Neal Patwari, Sneha K. Kasera,
Kurt Derr, Samuel Ramirez, "Cost Effective
Crowdsourcing: Spectrum Monitoring with Sitara", Demo Abstract at the 16th
IEEE International Conference on Mobile Ad-hoc and Smart Systems (MASS),
November 2019.
·
J.
Phillip Smith, Anh Luong, Shamik Sarkar, Harsimran Singh, Neal Patwari, Sneha K. Kasera,
Kurt Derr, Samuel Ramirez, "Sitara: spectrum
measurement goes mobile through crowd-sourcing", in Proceedings of the
16th IEEE International Conference on Mobile Ad-hoc and Smart Systems (MASS),
November 2019.
·
A.
Baset, C. Becker, K. Derr, S. Ramirez, A. Bhaskara, and Sneha Kumar Kasera, "Towards Wireless
Environment Cognizance Through Incremental Learning", in Proceedings
of the 16th IEEE International Conference on Mobile Ad-hoc and Smart Systems
(MASS), November 2019.
·
Michael
Matheny and Jeff M. Phillips, "Computing Approximate Statistical Discrepancy",
International Symposium on Algorithm and Computation (ISAAC). December 2018.
arXiv:1804.11287. April 2018.
·
Harsimran
Singh, Shamik Sarkar, Anuj Dimri,
Aditya Bhaskara, Neal Patwari, Sneha Kasera, Samuel
Ramirez, Kurt Derr, "Privacy Enabled Crowdsourced
Transmitter Localization Using Adjusted Measurements,” in the Proceedings
of IEEE Symposium on Privacy-Aware Computing (IEEE PAC), 2018.
·
Tim
Sodergren, Jessica Hair, Jeff M. Phillips, and Bei Wang, "Visualizing
Sensor Network Coverage with Location Uncertainty," in Visual Data
Science (VDS), October 2017.
·
Mojgan Khaledi, Mehdrad Khaledi, Shamik Sarkar, Sneha
Kumar Kasera, Neal Patwari, Kurt Derr, and Samuel
Ramirez, “Simultaneous Power-Based Localization of Transmitters for
Crowdsourced Spectrum Monitoring,” in the Proceedings of ACM MobiCom 2017.
·
“To
Catch a Wireless Thief,” Communications of the ACM News,
https://cacm.acm.org/news/204946-to-catch-a-wireless-thief/fulltext#comments,
July 2016.
Thesis/Dissertations
· Aniqua Baset, “Data-driven Spectrum Cognizance and Sharing: Methods, System Design, and Real-World Evaluations,” University of Utah, 2022.
· Shamik Sarkar, “Adaptive Intelligent Radio Spectrum Sharing for Wireless Networks,” University of Utah, 2021.
· Alemayehu Solomon Abrar, “Improving Radio Frequency Sensing for Smart Health Applications,” PhD Dissertation, Washington University in St. Louis, 2020
· Boston Terry, “Spectrum monitoring and source separation,” MS Thesis, University of Utah, 2020.
· Michael
Matheny, “Approximate Statistical Discrepancy,” PhD Dissertation, University
of Utah, 2019.
· Pavithra Chidambaram Pappa, “Spectrum Sharing in CBRS
Using Blockchain,” MS Thesis, University of Utah, 2019.
· Harsimran Singh, “Privacy Enabled Crowdsourced Transmitter Localization Using Adjusted Measurements,” MS Thesis, University of Utah, 2018.
· Anuj Dimri, “Privacy Enabled Noise Free Data Collection in Vehicular Networks,” MS Thesis, University of Utah, 2018.
· Pranav Kulkarni, “Sampling and Bluetooth transfer of complex baseband sample data on the Sitara SDR platform,” MS Thesis, University of Utah, 2018.
· Mojgan Khaledi, “Distributed Sensing and Computing in Wireless Networks,” PhD Dissertation, University of Utah, 2017.
·
Drew
McClelland, “Analysis of Mapping Techniques on a Spatial Scan Statistic,” Bachelor's
Thesis, University of Utah, 2017.