Mingyue Ji
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EdgeAI Lab

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)