Shamik Sarkar

Hi! I am Shamik, I am a postdoc at UCLA working under the supervision of Dr. Danijela Cabric. I received my Ph.D. from the University of Utah in August 2021. I am interested in systems/protocols/algorithms research for wireless communication and networks, with a special emphasis on spectrum sharing. For more details about my research, please refer to my Google Scholar page. The best way to contact me is via email (shamiksarkar@g.ucla.edu).

Publications with CORES:

T. Zhao, S. Sarkar, E. Krijestorac, and D. Cabric, "GAN-RXA: A Practical Scalable Solution to Receiver-Agnostic Transmitter Fingerprinting" in IEEE Transactions on Cognitive Communications and Networking.
Signal classificationMachine Learning
S. Sarkar, D. Guo, and D. Cabric, "RadYOLOLet: Radar Detection and Parameter Estimation Using YOLO and WaveLet," submitted
Machine LearningRadarSpectrum Sensing
H. Sallouha, S. Sarkar, E. Krijestorac, and D. Cabric, "REM-U-net: Deep Learning Based Agile REM Prediction with Energy-Efficient Cell-Free Use Case," submitted to IEEE Open Journal of Signal Processing
Machine LearningSpectrum Sensing
S. Sarkar, D. Guo, and D. Cabric, "ProSpire: Proactive Spatial Prediction of Radio Environment Using Deep Learning," submitted
Machine LearningSpectrum Sensing
J. Feng, T. Zhao, S. Sarkar, D. Konrad, T. Jacques, D. Cabric, and N. Sehatbakhsh. "Fingerprinting IoT Devices Using Latent Physical Side-Channels," Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7, 2, Article 54, June 2023
IoTMachine Learning
E. Krijestorac, H. Sallouha, S. Sarkar, D. Cabric, "Agile Radio Map Prediction Using Deep Learning," in the 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), June 2023
Machine LearningSpectrum Sensing
V. Boljanovic, S. Sarkar, D. Cabric, "Millimeter-Wave User Association and Low-Interference Beam Scheduling (Invited Paper)," in the 6th ACM Workshop on Millimeter-Wave Networks and Sensing Systems (mmNets), October 2022
Millimeter-Wave
R. Li, S. Sarkar, D. Cabric, J. McGraw, P. Powers, J. Vitaz, "Fast ML-Assisted Interference Estimation and Suppression for Digital Phased Array Radar," in the 2022 IEEE International Symposium on Phased Array Systems & Technology (PAST)
RadarBeamformingMachine Learning