Openings
We will have multiple PhD openings for Fall 2025 working in the general area of machine learning; cloud/edge computing; wireless communications, networking and sensing; information theory and coding. If you are interested, please send me an e-mail with your current CV or drop by my office. I will be happy to discuss. Please check samples of our research talks on our YouTube channel.
PhD Students
Current
- Xi Zhong (Elastic and Distributed Computing at the Edge): Fall 2021 – present
- Xi (Leo) Wang (Internet of Things, Wireless Edge System Designs and Implementations): Fall 2021 – present
- Xin Yao (Private Distributed Machine Learning at the Edge and Federated Learning using POWDER platform): Fall 2021 – present
- Yanyu Hu (Machine Learning-aided Edge Systems for Wireless Sensing and Computing for Nuclear Industry): Fall 2022 – present
- Haoze Zhang (Machine Learning-aided Reconfigurable Intelligent Surfaces (RIS) and Unmanned Aerial Vehicle (UAV) Wireless Edge Networks): Fall 2023 – present
Alumni
- Jiayi Wang (Algorithm Design and Analysis of Federated Learning at the Edge): Fall 2019 – May 2024. Current position: Postdoc, Oak Ridge National Laboratory, Tennessee.
- Xiang Zhang (D2D Coded Caching, Cache-aided Private Information/Function Retrieval, Machine Learning-aided 5G Secure mmWave Communications): Spring 2018 – Spring 2023. Current position: Postdoc, TU Berlin.
- Nicholas Woolsey (Coded Caching, Coded Distributed Computing, Private Information Retrieval, Coded Elastic Computing): Fall 2017 – Fall 2020. Current position: Signal Processing Systems Engineer, Trabus Technologies, San Diego, CA.
- Received Best ECE Dissertation Award.
Visiting PhD students
- Won Joon Yun, advised by Dr. Joongheon Kim from Korea University: 02/15/2023 – 03/29/2023
- Hanykyul Baek advised, by Dr. Joongheon Kim from Korea University: 02/15/2023 – 03/29/2023
Master Students:
Alumni
- Bryan Hatasaka (wireless low power sensor networks): 2019 Fall – Fall 2021 (Now at Aerel Design)
- Sean Hammond: 2019 Fall – 2020 Spring (Now at Microsoft)
- Jake Maschoff: 2019 Fall – 2020 Spring (Now at Apple)
- Erik Swenson: 2019 Fall – 2020 Spring (Now at L3Harris)
- Marko Ljubicic: 2019 Fall (Now at L3Harris)
- Ramya Selvan, CE MS 2017, Independent Study (Now at Nvidia, Boston)
Undergraduate Researchers
Alumni
- Nygelle Heiden (Benchmarking Machine Learning Devices for Radio Frequency Spectrum Sensing funded by L3Harris): 2023 Fall – Spring 2024
- Steven Zehng (Benchmarking Machine Learning Devices for Radio Frequency Spectrum Sensing funded by L3Harris): 2023 Fall – Spring 2024
- Hunter Chak (Benchmarking Machine Learning Devices for Radio Frequency Spectrum Sensing funded by L3Harris): 2023 Fall – Spring 2024
- Cade Glauser (Benchmarking Machine Learning Devices for Radio Frequency Spectrum Sensing funded by L3Harris): 2023 Fall – Spring 2024
- Zander Bagley (Benchmarking Machine Learning Devices for Radio Frequency Spectrum Sensing funded by L3Harris): 2023 Fall – Spring 2024
- Tyler Bytendorp (Sensor-scheduling strategies in electronic support funded by L3Harris): 2022 Fall – Spring 2023
- Tyler Roybal (Sensor-scheduling strategies in electronic support funded by L3Harris): 2022 Fall – Spring 2023
- Benjamin Hayes (Sensor-scheduling strategies in electronic support funded by L3Harris): 2022 Fall – Spring 2023
- Collin Griswold (Sensor-scheduling strategies in electronic support funded by L3Harris): 2022 Fall – Spring 2023
- Zhengyan (Aiden) Liu (wireless low power, low latency and long range sensor networks): 2022 Spring – Spring 2023
- Jack T. Sorensen (Clinic Project on Deep Learning based PA Distortion Compensations in Digital Communication Systems): 2021 Fall – Spring 2022
- Eldar Muhic (Clinic Project on Deep Learning based PA Distortion Compensations in Digital Communication Systems): 2021 Fall – Spring 2022
- Riley Richards (Clinic Project on Deep Learning based PA Distortion Compensations in Digital Communication Systems): 2021 Fall – Spring 2022
- Tiffany Liu (selected for participation in the Undergraduate Research Opportunities Program (UROP)): 2019 Fall – Summer 2021
- Merek Goodrich: 2019 Fall – Spring 2021
- Henry Crandall: 2020 Fall – Spring 2021
- Jack Fahey: 2020 Fall – Spring 2021
- Kevin Chau: 2020 Fall – Spring 2021
- Ye Zhou: 2020 Fall – Spring 2021
- Camden Ewell: 2020 Fall – Spring 2021
- Sophie Wang: 2019 Fall – Spring 2020
- Joseph Lyman: 2019 Summer – Fall 2019
- Michael Crabtree: 2019 Summer – Spring 2020 (Now at Space Dynamic Labs)
- Mary Richardson: 2019 Summer – Spring 2020
- Yun-Hsiang (Jerry) Hu: 2019 Summer – 2020 Spring
- Bryan Hatasaka: 2019 Summer – 2020 Spring
- Katlynne Bills: 2019 Summer – 2020 Spring
- Thomas Van Hook: 2019 Summer – 2020 Spring
- Jason Stauffer: 2019 Summer – 2020 Spring
- Garrick Clegg: 2019 Summer – 2020 Spring
- Collin Tate: 2018 Summer – 2019 Summer
- Aaron Goh: 2019 Spring – 2019 Fall
- David M. Moody: 2018 Summer – 2019 Summer
- Justin C. Olson: 2018 Summer – 2019 Summer
- Joshua Nett: 2018 Summer – 2019 Spring
- Keoki Daley: 2018 Summer – 2019 Spring
- Nicholas Elliott 2017 Summer – 2018 summer
- Ramya Selvan (MS 2017, Now at Nvidia, Boston)
- Gavin M. Yeip (BS 2018, HAFB Clinic Project)
- Matthew W. Heisler (BS 2018, HAFB Clinic Project)
- Nathan B. Mower (BS 2018, HAFB Clinic Project)
- Phuc Nguyen (BS 2018, HAFB Clinic Project)