Samurdhi Karunaratne

I am an M.S./Ph.D. candidate at the Cognitive Reconfigurable Embedded Systems (CORES) Lab at UCLA.

Education

Awards

  • Electrical and Computer Engineering Department Fellowship, UCLA, March 2019
  • Industrial and Financial Systems (IFS) Gold Medal for the Best Performance in Computer Engineering, University of Peradeniya, Sri Lanka, 2019
  • 1st Country Rank (62nd globally), IEEEXtreme 10.0 Worldwide competitive programming contest, 2016
  • Silver medal at the 45th International Physics Olympiad (IPhO), 2014
  • Silver medal at the 15th Asian Physics Olympiad (APhO), 2014
  • Gold Medal and Winner of the Sri Lankan Physics Olympiad, 2013
  • Mahapola Higher Education Merit Scholarship, Government of Sri Lanka, 2013

CORES Publications

S. Hanna, S. Karunaratne and D. Cabric, "WiSig: A Large-Scale WiFi Signal Dataset for Receiver and Channel Agnostic RF Fingerprinting," in IEEE Access, vol. 10, pp. 22808-22818, 2022.
Machine LearningSignal classification
S. Karunaratne, S. Hanna, D. Cabric, "Real-time Wireless Transmitter Authorization: Adapting to Dynamic Authorized Sets with Information Retrieval," in 2021 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), December 2021
Machine LearningIoT
S. Karunaratne, S. Hanna, and D. Cabric, "Open Set RF Fingerprinting using Generative Outlier Augmentation," in 2021 IEEE Global Communications Conference (GLOBECOM), December 2021
Machine Learning
S. Hanna, S. Karunaratne, and D. Cabric, "Open Set Wireless Transmitter Authorization: Deep Learning Approaches and Dataset Considerations", in IEEE Transactions on Cognitive Communications and Networking, March 2021.
Machine Learning
Samurdhi Karunaratne, Enes Krijestorac, Danijela Cabric, "Penetrating RF Fingerprinting-based Authentication with a Generative Adversarial Attack", ICC 2021 - IEEE International Conference on Communications, 2021, pp. 1-6
Machine LearningReinforcement Learning
S. Hanna, S. Karunaratne, and D. Cabric, "Deep Learning Approaches for Open Set Wireless Transmitter Authorization", in IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), Feb. 2020.
IoTMachine Learning

Other Publications

Conferences

  • Karunaratne, S. and Gacanin, H., “Artificial Intelligence Driven Optimization of Channel and Location in Wireless Networks”, in IEEE GLOBECOM 2018: Machine Learning for Communications, December 2018.

Journals

  • Gacanin,H., Perenda,E., Karunaratne,S. and Atawia,R., “Self-optimization of Wireless Systems with Knowledge Management: An Artificial Intelligence Approach”, in IEEE Transactions on Vehicular Technology, 2019.
  • Karunaratne, S., Atawia, R., Perenda,E. and Gacanin,H., “An Overview of Machine Learning Applications in Wireless Mesh Networks”, in IEEE Communications Magazine, April 2019.

Patents (pending)

  • Karunaratne, S. and Gacanin, H., Optimizing a Wireless Network that Comprises Range Extenders EPO App. Number: EP20181741372
  • Karunaratne, S. and Gacanin, H., Optimizing a Wi-Fi Network Comprising Multiple Range Extenders and Associated Devices EPO App. Number: EP20181834755

Industry Experience

Research Intern, Nokia Bell Labs, Belgium (Winter,Spring 2017)

Contact Information