Jingshu Chen

Jingshu, Ph.D. 
  • Jingshu Chen, Ph.D.

  • Assistant Professor

  • Computer Science and Engineering Dept., Oakland University

  • EC534, 115 Library Dr., Rochester, MI 48309

  • Email: jingshuchen[AT]oakland[dot]edu

  • Tel: 248-370-4625

Biography

Dr. Jingshu Chen is assistant professor of Computer Science at Oakland University. Before she joined Oakland University at 2017, she worked at FDA as ORISE researcher and INRIA as postdoc researchers. She earned her Ph.D degree in Computer Science with Dr. Sandeep Kulkanir from Michigan State University at 2013. She obtained her master degree and bachelar degree from Chinese Academy of Sciences and Xiamen University, respectively.

Dr. Chen's research interests include:

  • Smart Healthcare

  • Formal modeling, analysis and repair for System Reliability

  • Learning based System Design, Analysis and Prediction

NEWS

  • 1/2024: I just attended the NSF PI Training Workshop. Big thanks to the NSF for such an amazing opportunity! Stay tuned for more updates on our exciting new project that just got funded!
  • 10/2023: I was invited to serve as NSF Reviewer .
  • 10/2023: I was invited to serve as TPC for Cloud 2023.
  • 10/2023: Our work on Configurable Resource Management Recommendation has been accepted at UCC 2023.
  • 9/2023: Our work on Resource Management Recommendation for Large scale cloud systems has been accepted at CNSM 2023.
  • 8/2023: I was invited to serve as TPC for SIGCSE 2023.
  • 7/2023: Our work on XAI in Fuzzing Testing for Industry Control Systems has been accepted at ASE 2023.
  • 5/2023: The work on Assessment of ChatGPT's Proficiency in Software Development is accepted at IEEE CPS: SERP 2023.
  • 5/2023: Our work on Scenario-based Design for Ensuring Reliable UAV-Assisted Multi-Access Edge Computing is accepted for IEEE MOST Poster/Demo Session.
  • 2/2023: Our work on Highly Sensitive EM Side channel Analysis is ready for submission! Available for request.
  • 2/2023: Our Project on Scalable Space System Fuzzing has been funded by NASA MSGC Seed Grant.
  • 2/2023: Our work on Scalable Fuzzing for Industry Control Systems was invited to present at High Confidence Software and Systems(HCSS) 2023.
  • 2/2023: Our work on Formal Repair for Smart Contracts is under submission! Available for request.
  • 1/2023: Our work on GA based Refinement Approach of Probabilistic Optimization for Stabilization is under submission! Available for request.
  • 12/2022: Our work on “Enabling External Security Monitoring for Resource-Constrained IoT” has been funded by URC Faculty seed grant.