Ismail Guvenc

Dr. Ismail Guvenc (senior member, IEEE) received his Ph.D. degree in electrical engineering from University of South Florida in 2006. He was with Mitsubishi Electric Research Labs during 2005, with DOCOMO Innovations between 2006-2012, and with Florida International University between 2012-2016. Since 2016, he has been an Associate Professor with the Department of Electrical and Computer Engineering at North Carolina State University. His recent research interests include 5G wireless systems, communications and networking with drones, and heterogeneous wireless networks. He has published more than 130 conference/journal papers and book chapters, and several standardization contributions. He co-authored/co-edited three books for Cambridge University Press, served as an editor for IEEE Communications Letters (2010-2015) and IEEE Wireless Communications Letters (2011-present), and as a guest editor for several other journals. Dr. Guvenc is an inventor/coinventor some 30 U.S. patents. He is a recipient of the FIU College of Engineering Faculty Research Award (2016), NSF CAREER Award (2015), Ralph E. Powe Junior Faculty Enhancement Award (2014), and USF Outstanding Dissertation Award (2006).

Education

2006 - Ph.D. in Electrical Engineering - University of South Florida, Tampa, FL
2003 - M.S. in Electrical and Computer Engineering, University of New Mexico, Albuquerque, NM
2001 - B.S. in Electrical Engineering, Bilkent University, Ankara, Turkey

Awards & Honors

Publications

• 3-D Trajectory Optimization in UAV-Assisted Cellular Networks Considering Antenna Radiation Pattern and Backhaul Constraint (2020)
• Advanced Wireless for Unmanned Aerial Systems: 5G Standardization, Research Challenges, and AERPAW Architecture (2020)
• Communication Support for Unmanned Air Transportation (2020)
• Correction of Channel Sounding Clock Drift and Antenna Rotation Effects for mmWave Angular Profile Measurements (2020)
• Coverage Enhancement for NLOS mmWave Links Using Passive Reflectors (2020)
• Detection and Classification of UAVs Using RF Fingerprints in the Presence of Wi-Fi and Bluetooth Interference (2020)
• Low-Resolution Limited-Feedback NOMA for mmWave Communications (2020)
• Multilinear Singular Value Decomposition for Millimeter Wave Channel Parameter Estimation (2020)
• Off-Grid Aware Channel and Covariance Estimation in mmWave Networks (2020)
• Wideband Air-to-Ground Channel Characterization for Multiple Propagation Environments (2020)