Keith Gremban

Data and Machine Learning Project Team Lead

Focus Area:

Remote Sensing, Earth & Space Science


PhD, Computer Science, Carnegie Mellon University
MS, Computer Science, Carnegie Mellon University
MS, Applied Mathematics, Michigan State University
BS, Mathematics, Michigan State University

Professional Experience:

2020 – Present, Program Manager, 5G-to-NextG Initiative, Office of the Undersecretary of Defense for Research and Engineering, US Department of Defense
2020 – Present, Research Professor, Aerospace Engineering Sciences, University of Colorado Boulder
2020 – Present, Senior Fellow, Silicon Flatirons Center, University of Colorado Boulder
2019 – 2020, Research Professor, Technology, Cybersecurity, and Policy Program, University of Colorado Boulder
2015 – 2019, Director, Institute for Telecommunication Sciences, National Telecommunications and Information Administration
2014 – 2015, Founder, Shavano Systems LLC
2011 – 2014, Program Manager, Strategic Technologies Office, Defense Advanced Research Projects Agency (DARPA)
2009 – 2010, Director, Computer Systems Research, SET Corporation, a Science Applications International Corporation Company
2007 – 2009, Director, Denver Advanced Technology Division, SET Corporation, a Science Applications International Corporation Company
2006 – 2007, Assistant Vice President and Division Manager, Science Applications International Corporation
2002 – 2006, Senior Scientist, Science Applications International Corporation
1998 – 2002, Senior Research Engineer, SRI International, Englewood, CO
1997 – 1998, Senior Systems Engineer, Computing Devices International (CDInt)
1995 – 1998, Senior Scientist, CTA Incorporated
1988 – 1995, Graduate Student and Research Assistant, School of Computer Science, Carnegie Mellon University
1980 – 1988, Staff Engineer, Martin Marietta Corporation

Awards (Selected):

Senior Fellow, Silicon Flatirons Center, University of Colorado Wolf School of Law

Research Interests:

RF noise measurement and analysis
Spectrum monitoring
Spectrum sharing
Internet of Things

Sachin Katti


Sachin Katti is currently an Assistant Professor of Electrical Engineering and Computer Science at Stanford University. He recently received his PhD in EECS from MIT in 2009. His research focuses on designing and building next generation high capacity wireless networks using techniques from information and coding theory. His dissertation research focused on redesigning wireless mesh networks with network coding as the central unifying design paradigm. The dissertation won the 2008 ACM Doctoral Dissertation Award – Honorable Mention, the George Sprowls Award for Best Doctoral Dissertation in EECS at MIT. His work on network coding was also awarded a MIT Deshpande Center Innovation Grant, and won the 2009 William Bennett Prize for Best Paper in IEEE/ACM Transactions on Networking. His research interests are in networks, wireless communications, applied coding theory and security.

Academic Appointments

Honors & Awards

  • Grant, Okawa Foundation (2013)
  • Best Paper Awards, ACM HomeNets (2011)
  • Best Demonstration Award, ACM MOBICOM (2010)
  • William Bennett Prize, IEEE (2008)
  • Doctoral Dissertation Award, ACM (2009)

Professional Education

  • PhD, MIT (2009)

Dongning Guo


Ph.D. Electrical Engineering, Princeton University, Princeton, NJ

M.A. Electrical Engineering, Princeton University, Princeton, NJ

M.Eng. Electrical Engineering, National University of Singapore, Singapore

B.Eng. Electrical Engineering & Information Science, University of Science & Technology of China, Hefei, China


Research Interests

My research interests lie in blockchain technologies, wireless communications, information theory, communication networks, and machine learning. My current projects concern blockchain analysis and design, next-generation cellular networks, the Internet of Things, and applications of deep learning in wireless networks.

Zoya Popovic

Prof. Popovic advises on research in areas of high-efficiency linear and broadband microwave power amplifiers, low-loss broadband microwave and millimeter-wave circuits and antennae, millimeter-wave and THz quasi-optical techniques, active antenna arrays, wireless powering for low-power sensors and high-power wireless near-field charging, microwave applications in medicine such as high-field MRI and core body temperature measurements, microwave heating for waste management and Rydberg atom microwave and millimeter-wave quantum sensors.

Distinguished Professor • Lockheed Martin Endowed Chair in RF Engineering


Taylor Barton

Associate Professor • Lockheed Martin Junior Faculty Fellow

Dr. Barton’s RF Power and Analog Laboratory investigates engineering challenges related to RF and microwave active circuit design, specifically in RF front-ends for communications, imaging, and telemetry applications in both commercial and defense spaces. The growing importance of these areas is tied to rising costs of energy and an interest in global energy consumption reduction, underscoring the need for development of energy-efficient systems. A major driving application is next-generation 5G radio, which has motivated increased interest in MIMO systems that also translates to defense applications such as phased array systems. Dr. Barton’s research has concentrated on three primary areas: (1) energy-efficient power amplifier (PA) design, (2) analog techniques for signal generation and linearization, and (3) integrated PA sensing and adaptation techniques. The combination of these technologies can result in efficient ‘smart’ transmitters able to adapt to environmental changes.


J. Nicholas Laneman

Dr. Laneman is Founding Director and currently Co-Director of the Wireless Institute in the College of Engineering; Professor of Electrical Engineering, Faculty Affiliate of iNDustry Labs; and Fellow of the Pulte Institute for Global Development as well as the Reilly Center for Science, Technology, and Values all at the University of Notre Dame. He joined the faculty in August 2002 shortly after earning a Ph.D. in Electrical Engineering and Computer Science from the Massachusetts Institute of Technology (MIT). His research and teaching interests are in communications system engineering—blending information theory, signal processing for communications, as well as prototyping and experimental validation—with emphasis on wireless systems.

Laneman is a 2014 IEEE Fellow and received the 2018 IEEE Kiyo Tomiyasu Award. In addition to three conference best paper awards, Laneman has received a 2006 Presidential Early-Career Award for Scientists and Engineers (PECASE) and a 2006 National Science Foundation (NSF) CAREER Award. He has served as General Co-Chair of the 2017 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), an Associate Editor for IEEE Transactions on Communications, and a Guest Editor for Special Issues of IEEE Transactions on Information Theory and IEEE Journal on Selected Areas in Communications. He was also the first Online Editor for the IEEE Information Theory Society and served on its Board of Governors.

Laneman is author or co-author on over 145 publications, including 46 journal articles and invited book chapters, and has been recognized by Thomson Reuters as an ISI Highly Cited Researcher (2010, 2015). He is co-inventor on eight U.S. patents and has several patents pending. He currently advises two Ph.D. students; twelve Ph.D. degrees, thirteen M.S. degrees, and one B.S. honors degree have been earned under his supervision. All of these research efforts have been supported in part by over $14M in funding, with Laneman serving as principal investigator on just over $5M.