Mario Bkassiny

Mario Bkassiny received the B.E. degree in Electrical Engineering with High Distinction and the M.S. degree in Computer Engineering from the Lebanese American University in 2008 and 2009, respectively. He received his PhD degree in Electrical Engineering from the University of New Mexico in 2013.

He is currently an Associate Professor and Chair at the Department of Electrical and Computer Engineering (ECE) at SUNY Oswego. He worked as a Research Assistant at the Communication and Information Sciences Laboratory (CISL) at the University of New Mexico from 2009 to 2013.

Dr. Bkassiny served as the co-chair of the Communications and Signal Processing Symposium of the 16th International Wireless Communications & Mobile Computing Conference (IWCMC 2020). He also served as a technical program committee (TPC) co-chair of the Workshop on Wideband Cognitive Radio Communication and Networks (WCRCN) at the IEEE Vehicular Technology Conference (VTC-Fall 2013). He was a TPC member of the Cognitive Radio and Spectrum Sensing track at the IEEE VTC-Fall 2015 conference. He served as a Guest Editor of the Special Issue on Antennas and RF Front Ends for Cognitive Radio in the International Journal of Antennas and Propagation.

He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE).

Research 

• Cognitive radios
• Wireless Communications
• Signal Detection Theory
• Machine Learning
• Bayesian Classification Methods
• Spectrum Sensing and Cyclostationary Detection
• Distributed Learning and Reasoning
• Cooperative Communications
• MIMO Free-Space Optical Communications

Selected Publications 

• M. Bkassiny, “A Deep Learning-based Signal Classification Approach for Spectrum Sensing using Long Short-Term Memory (LSTM) Networks”, 6th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE 2022), Yogyakarta, Indonesia, Dec. 2022.
• M. Bkassiny and S. K. Jayaweera, “Independent component analysis-based source separation with noise cancelling for cyclostationary detection in cognitive radios”, IEEE Vehicular Technology Conference (VTC-Fall 2018), Chicago, IL, Aug. 2018.
• M. Bkassiny, A. Lima De Sousa and S. K. Jayaweera, “Wideband Spectrum Sensing for Cognitive Radios in Weakly Correlated Non-Gaussian Noise”, IEEE Communications Letters, vol. 19, no. 7, pp. 1137-1140, July 2015.
• M. Bkassiny and S. K. Jayaweera, “Robust, Non-Gaussian Wideband Spectrum Sensing in Cognitive Radios”, IEEE Transactions Wireless Communications, vol. 13, no. 11, pp. 6410–6421, Nov. 2014.
• M. Bkassiny and S. K. Jayaweera, “Low-complexity Sequential Non-parametric Signal Classification for Wideband Cognitive Radios”, 8th International Conference on Telecommunication System, Services and Application (TSSA ’14), Kuta Bali, Indonesia, Oct. 2014.
• Y. Li, S. K. Jayaweera, M. Bkassiny and C. Ghosh, “Learning-aided Sub-band Selection Algorithms for Spectrum Sensing in Wide-band Cognitive Radios”, IEEE Transactions Wireless Communications, vol. 13, no. 4, pp. 2012–2024, Apr. 2014.
• M. Bkassiny, S. K. Jayaweera, Y. Li and K. A. Avery, “Blind cyclostationary feature detection-based spectrum sensing for autonomous self-learning cognitive radios”, IEEE International Conference on Communications (ICC ‘12), Ottawa, Canada, June 2012.
• M. Bkassiny, S. K. Jayaweera and Y. Li, “Multidimensional Dirichlet Process-based Non-Parametric Signal Classification for Autonomous Self-Learning Cognitive Radios”, IEEE Transactions Wireless Communications, vol.12, no.11, pp.5413-5423, Nov. 2013.
• M. Bkassiny, Y. Li and S. K. Jayaweera, "A Survey on Machine-Learning Techniques in Cognitive Radios," IEEE Communications Surveys & Tutorials, vol. 15, no. 3, pp. 1136-1159, Third Quarter 2013.
• M. Bkassiny, Y. Li, G. El-Howayek, S. K. Jayaweera and C. G. Christodoulou, “Recent Patents on Spectrum Sensing Methods and RF Architectures for Cognitive Radios”, Journal of Recent Patents on Computer Science, Special Issue on Recent Advances in Cognitive Radio Communications, Bentham Science Publishers Ltd., vol. 5, no. 2, pp. 83-92, Aug. 2012.
• M. Bkassiny, S. K. Jayaweera, Y. Li, and K. A. Avery, “Wideband Spectrum Sensing and Non-Parametric Signal Classification for Autonomous Self-Learning Cognitive Radios”, IEEE Transactions on Wireless Communications, vol. 11, no. 7, pp. 2596-2605, July 2012.

Education 

• Ph.D., Electrical Engineering, University of New Mexico, 2013
• MS, Computer Engineering, Lebanese American University, 2009
• BE, Electrical Engineering, Lebanese American University, 2008

Classes taught 

• ECE101 Introduction to Engineering
• ECE271 Digital Systems
• ECE211 Electric Circuits
• ECE233 Signals and Systems
• ECE454 Communications Systems
• ECE455 Wireless Communications