Athina Petropoulou

Distinguished Professor - Rutgers University, New Jersey

Athina Petropoulou received her Diploma in Electrical Engineering from the National Technical University of Athens (NTUA) in 1986. Subsequently, she received her PhD (1991) from the School of Electrical and Computer Engineering at Northeastern University, Boston, USA. From 1992 to 2010 she was a professor at Drexel University in Philadelphia, USA. In 2010 she was elected Dean of the School of Electrical and Computer Engineering at Rutgers State University, New Jersey. She was re-elected to the same position in 2013, and completed her term as dean in 2016. In 2017, she was elected to the rank of Distinguished Professor at Rutgers University. In addition, she is a Visiting Research Collaborator at Princeton University. She has also served as a Visiting Professor at SUPELEC at the École supérieure d'électricité (Supelec), the University of Southern California (USC), and Princeton University. Since 2012, she holds the title of Great Master at the University of Electrical Science and Technology (UESTC), Chengdu, China.

Her research interests focus on statistical processing of digital signals and statistical modeling of systems, with applications in wireless telecommunications, wireless networks, radar and bioinformatics. Her research has been funded by the US National Science Foundation, the US Office of Naval Research, the US Army, the US National Institute of Health, the Whitaker Foundation, and companies such as Lockheed Martin and Raytheon. He has published over 350 papers in peer-reviewed journals and international conference proceedings, and has written a book (with Mr. Chrysostomos L. Nikias) on higher-order statistics.

For her research she was awarded the Presidential Faculty Fellow Award (1995), which was presented to her by President Bill Clinton at a ceremony at the White House in the United States. She is a Fellow of the IEEE, and has served as a Distinguished Lecturer for the IEEE Signal Processing Society and the IEEE Aerospace & Electronics Systems Society. One of her papers has been awarded the 2005 IEEE Signal Processing Magazine Best Paper Award and another, by a PhD student, the 2020 IEEE Signal Processing Society Young Author Best Paper Award. She has served as Editor-in-Chief of the IEEE Transactions on Signal Processing (2009-2011), was Vice Chair for IEEE Signal Processing Society conferences (2006-2008), and was also elected twice to the Board of Governors for the IEEE Signal Processing Society (2006-2008, and 2018-2020). She was the General Chair of the 2005 International Conference on Acoustics Speech and Signal Processing (ICASSP-05), which is the largest conference of the IEEE Signal Processing Society, with over 2100 participants. She was also General Co-Chair of the IEEE Workshop on Signal Processing Advances in Wireless Communications (SPAWC), which will be held in Kalamata, Greece, on June 25-28, 2018. In 2012 he was awarded the IEEE Signal Processing Society Meritorious Service Award for "exemplary service in technical leadership capacities". Until the end of 2021 he is President-Elect of the IEEE Signal Processing Society, and will be President of the IEEE Signal Processing Society during 2022-2023.

More information about her research and publications can be found here

Cooperative Spectrum Sharing between Radar and Communication Systems [English]

Spectrum congestion in commercial wireless communications is a growing problem as high-data-rate applications become prevalent. On the other hand, frequency bands earmarked for exclusive use by radar are underutilized. Spectrum sharing is a new line of work that aims to enable radar and communication systems to share the same frequency bands efficiently by managing interference. The talk will cover recent results on cooperative spectrum sharing for the coexistence of multiple-input multiple-output (MIMO) radar and wireless communication systems. The two systems are jointly designed to maximize some quality metric for the radar subject to the communication system meeting certain operational constraints. In the second part of the talk, we present results on another form of spectrum sharing, namely, on dual functional radar communication systems (DFRC). In DFRC systems communication information is conveyed by the radar probing signals, thus there is no interference between radar and communication functionalities. DFRC systems are of great interest in autonomous driving scenarios, where the same waveform can be used for sensing and for vehicle-to-vehicle communication.