Robert Heath, Jeff Andrews, and Alan C. Bovik, professors at Texas ECE, have been recognized as Highly Cited Researchers. The Highly Cited Researchers from Clarivate Analytics (formerly the IP and Science business of Thomson Reuters) is a list released annually that recognizes researchers from around the globe leading the way in the field of sciences and social sciences, and represents some of the “world’s most influential scientific minds.” Highly Cited Papers are surveyed over an 11-year period from journals indexed in the Web of Science Core Collection and rank in the top 1% by citations according to their Essential Science Indicators field and publication year. Data used to determine the selection of HCR came from ESI, 2004-2014, and included 128,887 Highly Cited Papers.

Robert Heath is a Texas ECE Cullen Trust Endowed Professor, Fellow of IEEE, and is a member of the Wireless Networking and Communications Group. He is also president and CEO of MIMO Wireless Inc. and Chief Innovation Officer at Kuma Signals LLC. Dr. Heath has been an Editor for the IEEE Transactions on Communication, an Associate Editor for the IEEE Transactions on Vehicular Technology, and Lead Guest Editor for an IEEE Journal on Selected Topics in Signal Processing special issue on Heterogeneous Networks. His research interests include limited feedback techniques, multihop networking, multiuser and multicell MIMO, interference alignment, adaptive video transmission, manifold signal processing, and millimeter wave communication techniques. Heath was a co-author of best paper IEEE GLOBECOM 2015, 2010 and 2013 EURASIP Journal on Wireless Communications and Networking best paper awards, the 2012 Signal Processing Magazine best paper award, a 2013 Signal Processing Society best paper award, the 2014 EURASIP Journal on Advances in Signal Processing best paper award,  the 2014 Journal of Communications and Networks best paper award, the 2016 IEEE Communications Society Fred W. Ellersick Prize, and the 2016 IEEE Communications Society and Information Theory Society Joint Paper Award.

Jeff Andrews is a Texas ECE Cullen Trust Endowed Professor and Editor-in-Chief of the IEEE Transactions on Wireless Communications. He developed Code Division Multiple Access systems at Qualcomm from 1995-97, and has consulted for entities including Apple, Samsung, Verizon, AT&T, the WiMAX Forum, Intel, Microsoft, Clearwire, Sprint, and NASA.  He is a member of the Technical Advisory Board of Fastback Networks, and co-author of the books Fundamentals of WiMAX (Prentice-Hall, 2007) and Fundamentals of LTE (Prentice-Hall, 2010).  Dr. Andrews is an ISI Highly Cited Researcher, received the National Science Foundation CAREER award in 2007 and has been co-author of fourteen best paper award recipients including the 2016 IEEE Communications Society & Information Theory Society Joint Paper Award, the 2011 and 2016 IEEE Heinrich Hertz Prize, the 2014 IEEE Stephen O. Rice Prize, and the 2014 IEEE Leonard G. Abraham Prize.  He received the 2015 Terman Award, is an IEEE Fellow, and is an elected member of the Board of Governors of the IEEE Information Theory Society.

Alan C. Bovik is a Cockrell Family Endowed Regents Chair Professor at Texas ECE, faculty member at the Institute for Neuroscience, and Director of the Laboratory for Image and Video Engineering (LIVE).  He co-founded and was the longest-serving Editor-in-Chief of the IEEE Transactions on Image Processing and served as the first General Chair of the IEEE International Conference on Image Processing. Bovik is a Fellow of IEEE, the Optical Society of America (OSA), and the Society of Photo-Optical and Instrumental Engineers (SPIE), as well as a member of the Television Academy (ATAS) and the national Academy of Television Arts (NATAS). His research interests include image and video processing, digital television and digital cinema, computational vision, and visual perception. Bovik has published over 750 technical articles on these topics and holds several U.S. patents. He received the Primetime Emmy Award for Outstanding Achievement in Engineering Development from the Academy of Television Arts and Sciences for his innovation in video quality prediction models that are now standard tools utilized in broadcast and post production. He has been the recipient of many awards, including the Signal Processing Society Award for 2013, Honorary Member Award of the Society for Imaging Science and Technology for 2013, SPIE Technology Achievement Award for 2012, the IS&T/SPIE Imaging Scientist of the Year for 2011, and recipient of the Joe J. King Professional Engineering Achievement Award for 2015.