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ubiquitous computing, human-centered computing, creative coding, software engineering


PhD (in progress), Electrical & Computer Engineering Jan 2021 – present
University of Texas at Austin
MSE, Electrical & Computer Engineering Dec 2023
University of Texas at Austin
BS, Computer Science May 2017
University of New Mexico
Marketing Minor

Research Experience

Applied Research Scientist Aug 2023 – present
Useful Sensors
Mountain View, CA, USA
Applied Research Intern Summer 2023
Toyota North America R&D
Mountain View, CA, USA
PhD Student Jan 2021 – present
University of Texas at Austin (Cockrell School of Engineering)
Austin, TX, USA
Advisor: Dr. Christine Julien
Associate Computer Scientist Oct 2018 – Jan 2021
Air Force Research Laboratory (Space Vehicles Directorate)
Albuquerque, NM, USA
Undergraduate Independent Study Aug 2016 – May 2017
University of New Mexico (Department of Computer Science)
Albuquerque, NM, USA
Advisor: Dr. Gruia-Catalin Roman
Data Science Intern Summer 2016
New Mexico Environment Department
Rio Rancho, NM, USA

Teaching Experience

Software Engineering Supervised Lecturer UT Austin F2022
Advanced App Dev. Teaching Assistant UT Austin Su2022
Software Engineering Teaching Assistant UT Austin F2021, Sp2022, F2023
Software Engineering Teaching Assistant UNM Sp2017, Su2017
Design of Large Programs Teaching Assistant UNM Sp2017
Data Organization in C Teaching Assistant UNM F2016



King, E., Yu, H., Lee, S., & Julien, C. (2024). Sasha: Creative Goal-Oriented Reasoning in Smart Homes with Large Language Models. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 8(1).

Chen, H. Y., King, E., & Julien, C. (2023). Nod: Lightweight Continuous Neighbor Discovery on Everyday Devices. In International Conference on Mobile and Ubiquitous Systems: Computing, Networking, and Services. To appear.

King, E., & Julien, C. (2023, September). CANDor: Continuous Adaptive Neighbor Discovery. In 2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS) (pp. 336-342). IEEE.


Yu, H., An, J., King, E., Thomaz, E., & Julien, C. (2023). Cheating off your neighbors: Improving activity recognition through corroboration. arXiv preprint arXiv:2306.06078.

King, E., Yu, H., Lee, S., & Julien, C. (2023). “Get ready for a party”: Exploring smarter smart spaces with help from large language models. arXiv preprint arXiv:2305.09802.



King, E., Wang, C., Pham, A. (2024) “Energy-efficient vehicular distributed machine learning”. U.S. Patent Application No. 18/430,491.

Honors & Awards

Dr. Brooks Carlton Fowler Fellowship UT Austin 2023
Civilian of the Year Air Force Research Laboratory 2020
NSF I-Corps 2019

Community Service

Public Park Cleanup Austin Parks Department 2022, 2023
English Tutor Kadena Language Institute 2018
Brigade Organizer Code for America 2015
Outreach Volunteer Createathon 2015