Bio

My name is Liuyi Jin. I'm a Ph.D. student in Computer Science at the Texas A&M University. I'm fortunate to be advised by Prof. Radu Stoleru at Laboratory for Embedded & Networked Smart Systems (LENSS). My Ph.D. research mainly focuses on applying AI/ML to edge/cloud computing for mobile health.

I'm also generally interested in building novel, practical, and secure networked computer systems to address a diverse range of cutting-edge problems across healthcare, human computer interaction, multimodal sensing, AR/VR, computer resource management, Earth Science, and more. I interned at XiaoMi, Facebook (now Meta), VMware, Baidu USA in the past summers. 

Here are my CV and Google Scholar. If you believe my expertise aligns with your interests, feel free to reach out!

Education

Texas A&M University, Sep 2018–Aug 2025

Ph.D., Computer Science, Advisor: Dr. Radu Stoleru

Texas A&M University, Sep 2016–May 2018

M.Sc., Petroleum Engineering, Advisor: Dr. John Lee

China University of Mining and Technology, Sep 2011–June 2015

B.E., Safety Engineering

Awards

• BuildSys Best Paper Award, 2024

• MobiSys Student Travel Grant, 2023

• NanoCom Student Travel Grant, 2019

• TAMU CSE Student Travel Grant, 2019, 2023

• CUMT Outstanding Undergraduate, 2015

News

• 2023.05: EMSAssist MobiSys'23 full paper is awarded with all 4 artifact evaluation badges: available, evaluated functional, evaluated reusable, replicated.

• 2023.05: A poster is accepted to MobiSys'23: Towards Multi-Radio Access in 5G Networks. Congrats to Matan and Sangwoo for their first system publication in LENSS.

• 2023.02: I passed the Ph.D. Prelim Exam. I got the Ph.D. Candidacy. 

Teaching and Mentor Experience

Graduate Teaching Assistant: 

• TAMU CSCE 438/662 Distributed Processing Systems, Fall 2023, Spring 2024, Spring 2025

• TAMU CSCE 483 Computer System Design (Senior Capstone Project), Fall 2024

• TAMU CSCE 435/735 Parallel Computing, Summer 2024

• TAMU CSCE 120/121 Program Design and Concepts in C++, Summer 2023

Mentoring

• PhD: 

Pasan Dineth Gunawardena, TAMU CSE, computer vision for mobile health

Runzhi Wang, TAMU ECE, computer vision for mobile health

• MS: 

Sriram Suresh, TAMU CSE, optimizing GPU utilization for machine learning systems 

Aaron Skouby, TAMU CSE, energy profiling on mobile devices