Hello, I'm Ian Roberts.
I am an Assistant Professor at UCLA working on wireless communication and sensing. All roads lead to Westwood...
I direct the Wireless Lab within UCLA's Department of Electrical and Computer Engineering.
Publications | Google Scholar | UCLA Profile
Email: ianroberts [at] ucla [dot] edu
Office: 56-147A Engr IV
I am an Assistant Professor at UCLA in the Department of Electrical and Computer Engineering within the Samueli School of Engineering.
I completed my Ph.D. in electrical and computer engineering at the University of Texas at Austin, where I was fortunate to be supervised by Prof. Jeff Andrews and Prof. Sriram Vishwanath. During my Ph.D., I am grateful to have been an NSF Graduate Research Fellow in the Wireless Networking and Communications Group (WNCG) and the 6G@UT Research Center.
Much of my research aims to upgrade next-generation wireless systems, like 5G and future 6G cellular systems, with full-duplex capability: the long-sought ability to simultaneously transmit and receive signals over the same frequency spectrum. I strive to combine both theory and experimentation to motivate, develop, and validate my research, with the hope of having impact on real-world wireless systems.
The GitHub repositories associated with several of my papers are listed below:
- Beamformed self-interference measurements at 28 GHz
- Spatial and statistical modeling of mmWave self-interference
- STEER: Beam selection for full-duplex mmWave communication systems
- LoneSTAR: Beam codebooks for full-duplex mmWave communication systems
I have collaborated extensively with AT&T Labs to characterize and enable real-world full-duplex millimeter wave communication systems. I have also collaborated with Prof. Ahmed Alkhateeb at Arizona State University and Prof. Chan-Byoung Chae at Yonsei University. In 2023, I co-authored a book chapter on full-duplex for next-generation wireless systems with Prof. Himal Suraweera.
During 2018–2020, I was heavily involved in early research and development at GenXComm (GXC), a startup that creates a suite of full-duplex solutions that enable simultaneous transmission and reception in-band for various applications. GenXComm was co-founded by my Ph.D. co-advisor Prof. Sriram Vishwanath.
Beyond this, I also have industry experience developing and prototyping wireless technologies at AT&T Labs, Amazon, Sandia National Labs, and Dynetics, Inc.
I received my undergraduate electrical engineering degree from Missouri University of Science and Technology, during which I was involved in undergraduate research supervised by Prof. Y. Rosa Zheng on the topic of underwater acoustic communication.
I am a licensed amateur radio operator. My callsign is KE0QVW.
IEEE-Style Biography
Ian P. Roberts is an Assistant Professor at UCLA in the Department of Electrical and Computer Engineering. He received the B.S. degree in electrical engineering from Missouri University of Science and Technology and the M.S. and Ph.D. degrees in electrical and computer engineering from the University of Texas at Austin, where he was a National Science Foundation Graduate Research Fellow with the Wireless Networking and Communications Group. He has industry experience developing and prototyping wireless technologies at AT&T Labs, Amazon, GenXComm (startup), and Sandia National Labs. His research interests are in the theory and implementation of millimeter wave systems, full-duplex, and other next-generation technologies for wireless communication and sensing. In 2023, he received the Andrea Goldsmith Young Scholars Award from the Communication Theory Technical Committee of the IEEE Communications Society.
Education
Ph.D. Electrical and Computer Engineering, 2023
University of Texas at Austin
M.S. Electrical and Computer Engineering, 2020
University of Texas at Austin
B.S. Electrical Engineering, 2018
Missouri University of Science and Technology
Industry Experience
AT&T Labs, Summer 2021
Intern, Advanced Wireless Technologies Group
GenXComm (startup), 2019 – 2020
Wireless Research Engineer
Amazon, Summer 2019
Intern, Wireless Technology Group
GenXComm (startup), 2018 – 2019
Intern (year-round)
Sandia National Laboratories, 2017 – 2018
Intern (year-round)
Dynetics, Inc., Summer 2016
Electrical Engineering Intern
My Talented Friends
- Albert Reed, ASU Ph.D. '23 (ML and signal processing)
- Rajesh K. Mishra, UT Austin Ph.D. '22 (wireless)
- Hardik B. Jain, Co-founder and CTO of GenXComm and Ph.D.
studentcandidate at UT Austin - Farzad Mokhtari-Koushyar, UT Austin Ph.D. '21 (photonics)
- Hassan Kaous, Software engineer at Zoox
- Logan Green, Aerospace engineer at Boeing
- Brandon Huttsell, Web developer and artist
- Ronald Palomares, Hardware engineer at GenXComm
- Carl L. Knauf, Author and journalist
- Amudheesan Nakkeeran, System engineer at IIITB COMET Foundation (UT Austin M.S.E. '20)
- Eunsun Kim, Ph.D. student in wireless at UT Austin
- Nitin Jonathan Myers, Assistant professor at TU Delft (UT Austin Ph.D. '20)
- Yuyang Wang, UT Austin Ph.D. '20 (wireless)
- Ahmad AlAmmouri, UT Austin Ph.D. '20 (wireless)
- Marius Arvinte, UT Austin Ph.D. '22 (machine learning + wireless)
- Manan Gupta, UT Austin Ph.D. '22 (wireless)
- Akash Doshi, UT Austin Ph.D. '22 (wireless)
- Ethan Heng, UT Austin Ph.D. '22 (wireless)
- Ezgi Tekgul, Ph.D. student in wireless at UT Austin
- Nick Olson, Ph.D. student in wireless at UT Austin
- Taekyun Lee, Ph.D. student in wireless at UT Austin
- Juseong Park, Ph.D. student in wireless at UT Austin
- Alperen Duru, Ph.D. student in wireless at UT Austin
- Sidharth Kumar, Ph.D. student in medical imaging at UT Austin
- Satyam Kumar, Ph.D. student in brain-computer interfaces at UT Austin
- Agrim Bari, Ph.D. student in wireless at UT Austin
- Yunseong Cho, Ph.D.
studentcandidate in wireless at UT Austin - Yitao Chen, Senior engineer at Qualcomm (UT Austin Ph.D. '20)
- Yu Zhang, Ph.D. student in wireless at Arizona State University
- Tawfik Osman, Ph.D. student in wireless at Arizona State University
- Gee Yong Suk, Yonsei University Ph.D. '22 (wireless)
- Jong Woo Kwak, Ph.D. student in wireless at Yonsei University
- Chanwoo Park, Ph.D. student in machine learning and optimization at MIT