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Prof. Nuria González-Prelcic received the Ph.D. degree (honors) from the University of Vigo, Vigo, Spain, in 2000. She previously held faculty positions at the Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA, from 2020 to 2023; and the Signal Theory and Communications Department, University of Vigo, from 2000 to 2020. She also held visiting positions at The University of Texas at Austin, Austin, TX, USA; and The University of New Mexico, Albuquerque, NM, USA. She was the Founding Director of the Atlantic Research Center for Information and Communication Technologies (atlanTTic), University of Vigo, from 2008 to 2017. She has been a Professor at the Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, CA, USA, since January 2024. Her main research interests include signal processing and machine learning for wireless communications, with a focus on multiple-input–multiple-output (MIMO) processing for millimeter-wave (mmWave) communication, joint sensing and communication, sensor-aided communication, signal processing under hardware impairments, vehicular communication, and multiantenna technology for LEO satellite communication. She has published more than 150 articles in these areas, including a highly cited tutorial on signal processing for mmWave MIMO published in IEEE Journal of Selected Topics in Signal Processing, which has received the 2020 IEEE SPS Donald G. Fink Overview Paper Award, and a paper pioneering the idea of enabling automotive radar with a Wi-Fi waveform that won the 2022 IEEE Vehicular Technology Society Best Vehicular Electronics Paper Award. She has been elevated to IEEE Fellow in 2024. Dr. González-Prelcic has been an Editor of IEEE Transactions on Wireless Communications and IEEE Transactions on Communications.
Graduate students
Murat Bayraktar received the B.S. and M.S. degrees in electrical and electronics engineering from Middle East Technical University (METU), Ankara, Turkey, in 2018 and 2021, respectively. He is currently a Ph.D. candidate in electrical engineering at University of California San Diego, CA, US, where he is also a Graduate Student Researcher since 2024. He was a Ph.D. student and a Graduate Research Assistant at North Carolina State University, NC, US, from 2021 to 2024. His current research interests include signal processing for wireless communications with particular focus on mmWave systems, sparse methods for channel estimation, integrated sensing and communication, wireless localization, full-duplex systems, and applications of AI/ML.
Yun Chen received her B.S degree in information engineering from Southeast University, Nanjing, China, in 2017, and M.S. degree in electrical and computer engineering from The University of Texas at Austin, Austin, TX, USA, in 2020. She is currently a PhD student associated with Wireless Sensing and Communication Lab at UC San Diego, CA, USA. Her interest lies in integrated communication and sensing with machine learning, specifically in developing advanced algorithms to enhance localization precision and reliability in V2X communication systems. She held research internship positions at Ericsson, Santa Clara, CA, USA in 2019 and 2020, and at Qualcomm, San Diego, CA, USA, through 2021 to 2023. She won the best paper award in IEEE WCNC 2020, and best student paper award in IEEE SPAWC 2023.
Alireza Javid is a Ph.D. student at the University of California, San Diego, in the Department of Electrical and Computer Engineering. He received his Bachelor of Science degree in Electrical Engineering and a minor in Computer Engineering from University of Tehran in July 2024. He began working under Prof. Nuria González-Prelcic at UC San Diego in Fall 2024. His research interests include machine learning and signal processing for sensing and wireless communications.
Bibhor Kumar is a Ph.D. student at the North Carolina State University, Raleigh, in the Department of Electrical and Computer Engineering. He received his Bachelor of Technology degree in Electrical Engineering from Indian Institute of Technology Kanpur in May 2021. He was an Associate engineer in RF front end team at Qualcomm India Pvt. Ltd. from July 2021 till August 2022. He began working under Prof. Nuria González-Prelcic at North Carolina State University in Fall 2022. His research interests include non-terrestrial networks, wireless localization, machine learning and signal processing in communications.
Soroush Mesforush received the B.S. degree in electrical and electronics engineering from University of Tehran, Iran, in 2023. He is currently a Ph.D. student in electrical engineering at University of California San Diego, CA, US, where he is also a Graduate Student Researcher since September 2024. He was previously affiliated with the Signal Processing and Communication Systems Lab at the University of Tehran conducting research revolving about MIMO, Compressed Sensing, and Wireless Communications. His current research interests include Integrated Sensing and Communication (ISAC), especially Distributed ISAC, Wireless localization, and Sparse signal processing.
Nima Razavi is a Ph.D. student at the University of California, San Diego, in the Department of Electrical and Computer Engineering. He received a B.S. in Electrical and Computer Engineering from the University of Virginia in Spring 2024. He began working under the co-supervision of Prof. Nuria González-Prelcic and Prof. Robert Heath at UC San Diego in Fall 2024. His research interests include MIMO for spectrum sharing and signal processing for upper midband frequencies.
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