Whitney Lohmeyer

Yvonne Chang on January 19, 2022

Whitney Lohmeyer is an Assistant Professor of Engineering at Olin College and a Research Affiliate at MIT in Aeronautics and Astronautics. She leads the Olin Satellite + Spectrum Technology & Policy (OSSTP) Group, and manages and contributes to the field of satellite communications systems. She also works closely with industry to advise on end-to-end system design, antenna systems, RF power amplification, radiation tolerance and spectrum strategy. Whitney is passionate about enabling affordable Internet access in order to generate economic growth and improve healthcare and education. Whitney was the first engineer hired at OneWeb, a company launching hundreds of low earth orbit communications satellites to provide global broadband and bridge the digital divide. While at OneWeb, she held a variety of roles both technical and policy-focused. As a Systems Engineer, she designed the RF Link Budget, and worked on the end-to-end communications system design, focusing on the LTE waveform and the user terminal antenna. In addition, she actively contributed to policy reform at the United States Federal Communications Commission (FCC) and United Nations (UN) International Telecommunications Union (ITU), and represented OneWeb on the U.S. Delegation to the 2015 World Radio Conference, the culmination of a three-year regulatory review cycle. Prior to joining the OneWeb team, she worked as a hardware engineer at Google, and spent time in technical roles at Inmarsat and NASA. Whitney received her Ph.D. in Aeronautics and Astronautics from MIT in 2015, and her M.S. in Aeronautics and Astronautics from MIT in 2013, both funded by a National Science Foundation (NSF) Graduate Research Fellowship. She earned her B.S. in Aerospace Engineering from NC State University in 2011, as the only female in her class of approximately ninety students, and now currently serves on the board of North Carolina State University’s Mechanical and Aerospace Engineering (MAE) Department. She has been invited to speak at a variety of events including NC State’s 2018 MAE Commencement Ceremony, the UN Women’s Gender Equality and Mainstreaming (GEM) The Internet of Women: Challenge or Opportunity? and the UN’s and ITU’s Women’s Leadership Workshop on Empowering Women in Radiocommunications Negotiations.

INTERESTS

  • Satellite Communications
  • Wireless Communications
  • Satellite Systems
  • International Spectrum Policy
  • Principles of Wireless Communications

Thomas Marzetta

Yvonne Chang on January 19, 2022

Thomas Marzetta is Distinguished Industry Professor at NYU Tandon School of Engineering’s Electrical and Computer Engineering Department and Director of NYU WIRELESS. Born in Washington, D.C., he received the Ph.D. and SB in Electrical Engineering from Massachusetts Institute of Technology in 1978 and 1972, and the MS in Systems Engineering from University of Pennsylvania in 1973. Prior to joining NYU in 2017, he had three industrial research careers: petroleum exploration (Schlumberger-Doll Research, 1978 – 1987), defense (Nichols Research Corporation, 1987 – 1995), and telecommunications (Bell Labs, 1995 – 2017). At Bell Labs, he directed the Communications and Statistical Sciences Department within the former Mathematical Sciences Research Center, and he was elected a Bell Labs Fellow. He originated Massive MIMO, one of the cornerstones of fifth-generation wireless technology. He is lead author of the book Fundamentals of Massive MIMO.

Professor Marzetta was on the Advisory Board of MAMMOET (Massive MIMO for Efficient Transmission), an EU-sponsored FP7 project, and he was Coordinator of the GreenTouch Consortium’s Large Scale Antenna Systems Project. Recognition for his contributions to Massive MIMO include the 2017 IEEE Communications Society Industrial Innovation Award, the 2015 IEEE Stephen O. Rice Prize, and the 2015 IEEE W. R. G. Baker Award. He was elected a Fellow of the IEEE in 2003, and he received an Honorary Doctorate from Linköping University in 2015.

Research Interests: Massive MIMO (Multiple-Input Multiple-Output), Wireless technology

Education:

University of Pennsylvania, 1973
Master of Science, Systems Engineering

Massachusetts Institute of Technology, 1978
Doctor of Philosophy, Electrical Engineering

Massachusetts Institute of Technology, 1972
Bachelor of Science, Electrical Engineering

Cong Shen

Yvonne Chang on January 19, 2022

Cong Shen received his B.S. and M.S. degrees, in 2002 and 2004 respectively, from the Department of Electronic Engineering, Tsinghua University, China. He obtained the Ph.D. degree from the Electrical Engineering Department, University of California Los Angeles (UCLA), in 2009. Prior to joining the Electrical and Computer Engineering Department at University of Virginia, Dr. Shen was a professor in the School of Information Science and Technology at University of Science and Technology of China (USTC). He also has extensive industry experience, having worked for Qualcomm Research, SpiderCloud Wireless, Silvus Technologies, and Xsense.ai, in various full time and consulting roles. His general research interests are in the area of communication theory, wireless communications, and machine learning.

He was the recipient of the “Excellent Paper Award” in the 9th International Conference on Ubiquitous and Future Networks (ICUFN 2017). Currently, he serves as an editor for the IEEE Transactions on Wireless Communications, and editor for the IEEE Wireless Communications Letters.

Education: 

B.S. Tsinghua University, China, 2002

M.S. Tsinghua University, China, 2004

Ph.D. University of California Los Angeles (UCLA), 2009

Awards:

  • Excellent Paper Award, the 9th International Conference on Ubiquitous and Future Networks (ICUFN) 2017
  • IEEE Senior Member, since 2014

Research Interests:

  • Wireless communications and networking
  • Machine learning at the wireless edge
  • Multi-armed bandits and reinforcement learning

Anant Sahai

Yvonne Chang on January 19, 2022

Biography

Anant Sahai did his undergraduate work in EECS at UC Berkeley, and then went to MIT as a graduate student studying Electrical Engineering and Computer Science (Course 6 in MIT-speak). After graduating with his PhD, and before joining the Berkeley faculty, he was on the theoretical/algorithmic side of a team at the startup Enuvis, Inc. developing new adaptive software radio techniques for GPS in very low SNR environments (such as those encountered indoors in urban areas).He currently serves also as faculty adviser to UC Berkeley’s chapter of Eta Kappa Nu. He has previously served as the Treasurer for the IEEE Information Theory Society.

His research interests span information theory, decentralized control, machine learning, and wireless communication — with a particular interest at the intersections of these fields. Within wireless communication, he is particularly interested in Spectrum Sharing and Cognitive Radio, very-low-latency ultra-reliable wireless communication protocols for the Internet Of Things, and how agents could learn how to communicate with each other without the need for heavy-handed standards. Within control, he is interested in decentralized control and how agents could learn how to cooperate and interact with unknown environments. He is also interested in the foundations of machine learning, particularly as it pertains to why overparameterized models do or do not work.

Education

  • 2001, PhD, EECS, Massachusetts Institute of Technology
  • 1996, SM, EECS, Massachusetts Institute of Technology
  • 1994, BS, EECS, University of California, Berkeley

Research Areas

Mariya Zheleva

Yvonne Chang on January 19, 2022

Dr. Mariya Zheleva is an Assistant Professor in the Department of Computer Science and Director of the Ubiquitous Networking Laboratory (UbiNET Lab) at the University at Albany. In 2019, she became the recipient of the highly competitive National Science Foundation’s (NSF) Faculty Early Career Development (CAREER) Award. This award came with funding of $510,494 which is being used to develop a framework for spectrum measurement and a long-term, integrated program of research, education and outreach related to spectrum sharing. Dr. Zheleva’s CAREER Award came at the heels of another NSF grant of $1.5 million to support her research helping rural communities in Upstate New York to substantially improve emergency preparedness and response. She was also a recipient of a 2019 University at Albany President’s Award for Exemplary Public Engagement for her leadership in closing the connectivity gap in rural communities.

RESEARCH INTERESTS:

Dr. Zheleva’s research focus is on wireless networks for infrastructure-challenged regions, characterized with low-bandwidth Internet gateways, lack of reliable electricity and sparse populations. In order to connect such regions, she has designed distributed cellular network systems to provide voice, text messaging and data connectivity. She is also working on Dynamic Spectrum Access systems for long-distance high-bandwidth connectivity.

In the past, Dr. Zheleva has worked on other projects related to wireless networking including monitoring, medium access control for 60 GHz networks and smart phones.

 

 

 

 

 

 

 

Keith Gremban

Yvonne Chang on January 19, 2022

Data and Machine Learning Project Team Lead
COLORADO CENTER FOR ASTRODYNAMICS RESEARCH (CCAR)

Focus Area:

Remote Sensing, Earth & Space Science

Education:

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

Yvonne Chang on January 19, 2022

Bio

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

Yvonne Chang on January 19, 2022

Education

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

Yvonne Chang on January 19, 2022

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

ELECTROMAGNETICS, RF & MICROWAVES

Taylor Barton

SpectrumX on January 19, 2022

Associate Professor • Lockheed Martin Junior Faculty Fellow
ELECTROMAGNETICS, RF & MICROWAVES • INTEGRATED CIRCUITS

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.