Computing, Caching and Communication Group

Openings

We have at least 2 PhD openings for Fall 2023 working in the general area of machine learning, wireless communications and networking, distributed/edge computing, and 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 at YouTube.

PhD Students

Current

• Xiang Zhang (Coded Caching, Private Information Retrieval, 5G and beyond Wireless Networking): Spring 2018 - present

• Jiayi Wang (Federated Learning): Fall 2019 - present

• Xi Zhong (Coded and Elastic Computing): Fall 2021 - present

• Xi (Leo) Wang (Wireless Networking, Edge Computing): Fall 2021 - present

• Xin Yao (Privacy in Machine Learning): Fall 2021 - present

• Yanyu Hu (Machine Learning for Wireless Communications): Fall 2022 - present

Alumni

• Nicholas Woolsey (Coded Caching and Distributed Computing, Private Information Retrieval, Elastic Computing): Fall 2017 - Fall 2020

  • Received Best ECE Dissertation Award.

Master Students:

Current

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

Current

• Tyler Bytendorp (Sensor-scheduling strategies in electronic support funded by L3Harris): 2022 Fall - present

• Tyler Roybal (Sensor-scheduling strategies in electronic support funded by L3Harris): 2022 Fall - present

• Benjamin Hayes (Sensor-scheduling strategies in electronic support funded by L3Harris): 2022 Fall - present

• Collin Griswold (Sensor-scheduling strategies in electronic support funded by L3Harris): 2022 Fall - present

• Zhengyan (Aiden) Liu (wireless low power, low latency and long range sensor networks): 2022 Spring - present

Alumni

• 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)