Bio

My name is Liuyi Jin. I'm a 6th-year 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 research focus is networked edge/cloud computing systems. I'm generally interested in building novel, practical, and secure networked computer systems for a wide spectrum of interesting cutting-edge science and engineering problems: machine learning, healthcare, human computer interaction, multimodal sensing, AR/VR, computer resource management, Earth Science, etc. I interned at XiaoMi, Facebook (now Meta), VMware, Baidu USA in the past summers. 

I'm always open to collaborate/discuss on solving important and interesting real-world problems. Please don't hesitate to contact me if you want to collaborate or discuss.

CV, Google Scholar

Education

Texas A&M University, Sep 2018–Aug 2024

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

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 Experiences

Graduate Teaching Assistant: 

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

• TAMU CSCE 435/735 Parallel Computing, 2024 Summer

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

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

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

Mentorship

• 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, understanding GPU microarchitecture, optimizing GPU utilization for machine learning systems 

Aaron Skouby, TAMU CSE, energy management and profiling on mobile devices, resource virtualization at the edge