Dr. George Sklivanitis
SPIE Involvement:
Conference Co-Chair | Author
Area of Expertise:
wireless , testbeds , machine learning , software-defined radios , autonomous systems , artificial intelligence
Websites:
Profile Summary

Dr. George Sklivanitis is a Research Assistant Professor with the Center for Connected Autonomy and Artificial Intelligence and a faculty Fellow of the Institute for Sensing and Embedded Network Systems Engineering (I-SENSE) at Florida Atlantic University. His research interests are in modeling, optimization and experimental evaluation of self-organizing multi-function (comms/PNT/sensing) wireless networks. Currently, he is working on robust AI/ML methods for foolproof spectrum sensing; waveform design techniques for directional interference-avoiding networks; signal co-design methods for joint communications and positioning. He has made leading contributions in the area of modern software-defined wireless systems and testbeds for evaluation of cognitive interference-avoidance in congested (and sometimes contested) environments. He has more than 30 publications in predominantly IEEE venues and in 2014 he ranked 1st among all U.S. Universities in the Nutaq Software-defined Radio Academic US National Contest. In 2015 he received the Best Demo Award in the 10th ACM International Conference on Underwater Networks and Systems. He was also a recipient of the 2015 SUNY Buffalo Graduate Student Award for Excellence in Teaching, the 2016 SUNY Buffalo Student Entrepreneur Fellowship, and the 2017 SUNY Chancellor's Award for Student Excellence. Since 2017, he serves as the co-organizer and technical program committee co-chair of the IEEE Workshop on Wireless Communications and Networking in Extreme Environments (WCNEE).
Publications (3)

Proceedings Article | 14 June 2023 Presentation + Paper
Proceedings Volume 12522, 125220C (2023) https://doi.org/10.1117/12.2665151
KEYWORDS: Contamination, Neural networks, Modulation, Receivers, Matrices, Principal component analysis, Frequency modulation, Digital modulation, Analog modulation, Machine learning, Spectrum analysis, Classification systems

Proceedings Article | 31 May 2022 Presentation + Paper
Proceedings Volume 12097, 120970B (2022) https://doi.org/10.1117/12.2619243
KEYWORDS: Matrices, Systems modeling, Spectrum analysis, Resistance, Principal component analysis, Linear algebra, Data modeling

Proceedings Article | 5 May 2017 Presentation + Paper
Proceedings Volume 10211, 102110B (2017) https://doi.org/10.1117/12.2262311
KEYWORDS: Picosecond phenomena, High dynamic range imaging, Information technology, Phase shift keying, Transmitters, Matrices, Binary data, Data hiding, Modulation, Linear filtering, Receivers, Telecommunications

Conference Committee Involvement (3)
Big Data VI: Learning, Analytics, and Applications
22 April 2024 | National Harbor, Maryland, United States
Big Data V: Learning, Analytics, and Applications
1 May 2023 | Orlando, Florida, United States
Big Data IV: Learning, Analytics, and Applications
3 April 2022 | Orlando, Florida, United States
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