IEEE Fellow, Queen's University Belfast, Northern Ireland, U.K.
Michail (Michalis) Matthaiou was born in Thessaloniki, Greece in 1981. He obtained the Diploma degree (5 years) in Electrical and Computer Engineering from the Aristotle University of Thessaloniki, Greece in 2004. He then received the M.Sc. (with distinction) in Communication Systems and Signal Processing from the University of Bristol, U.K. and Ph.D. degrees from the University of Edinburgh, U.K. in 2005 and 2008, respectively. From September 2008 through May 2010, he was with the Institute for Circuit Theory and Signal Processing, Munich University of Technology (TUM), Germany working as a Postdoctoral Research Associate. He is currently a Professor of Communications Engineering and Signal Processing and Deputy Director of the Centre for Wireless Innovation (CWI) at Queen’s University Belfast, U.K. after holding an Assistant Professor position at Chalmers University of Technology, Sweden. He has also held research visiting appointments at the University of Wisconsin-Madison, U.S.A., Linköping University, Sweden and Southeast University, China. His research interests span signal processing for wireless communications, beyond massive MIMO, intelligent reflecting surfaces, mm-wave/THz systems and deep learning for communications. He has published in excess of 250 papers on these topics, including some 120 IEEE journal papers.
Dr. Matthaiou and his coauthors received the IEEE Communications Society (ComSoc) Leonard G. Abraham Prize in 2017. He currently holds the ERC Consolidator Grant BEATRICE (2021-2026) focused on the interface between information and electromagnetic theories. He was awarded the prestigious 2018/2019 Royal Academy of Engineering/The Leverhulme Trust Senior Research Fellowship and also received the 2019 EURASIP Early Career Award. His team was also the Grand Winner of the 2019 Mobile World Congress Challenge. He was the recipient of the 2011 IEEE ComSoc Best Young Researcher Award for the Europe, Middle East and Africa Region and a co-recipient of the 2006 IEEE Communications Chapter Project Prize for the best M.Sc. dissertation in the area of communications. He has co-authored papers that received best paper awards at the 2018 IEEE WCSP and 2014 IEEE ICC and was an Exemplary Reviewer for IEEE Communications Letters for 2010. In 2014, he received the Research Fund for International Young Scientists from the National Natural Science Foundation of China. He is currently the Editor-in-Chief of Elsevier Physical Communication, a Senior Editor for IEEE Wireless Communications Letters and IEEE Signal Processing Magazine, and an Associate Editor for IEEE Transactions on Communications. He is an IEEE Fellow.
Dr. Vishnu Pendyala
San Jose State University, USA
Vishnu Pendyala is an assistant professor in the Department of Applied Data Science at the College of Professional and Global Education and was an Association for Computing Machinery (ACM) distinguished speaker.
He is the current chair of the IEEE Computer Society Silicon Valley chapter, and IEEE Computer Society Distinguished Contributor. He teaches and conducts research in artificial intelligence, machine learning and data science. He gave numerous (50+) invited talks in conferences, faculty development programs, and other forums. He has more than two decades of experience in the software industry in Silicon Valley. His book, "Veracity of Big Data," is available in several libraries, including those of MIT, Stanford, CMU, and internationally. He holds an MBA in finance from Osmania University, India and a doctoral degree in computer engineering from Santa Clara University.