Jingjie Li

Position title: Ph.D. Candidate

Email: jingjie.li@wisc.edu

Phone: (608) 960-0889

3605 Engineering Hall

[ google scholar ]  [ personal homepage]


I am a Ph.D. student supervised by Prof. Kim, and my hometown is Fuzhou, China. I graduated with a BS degree conferred by Beijing Institute of Technology (BIT) and a BEng degree with the First-Class Honours awarded by The Australian National University (ANU) through their joint degree program. Now I am a research assistant at the WISEST Lab, and I also actively work with Prof. Kassem Fawaz at UW-Madison.


University of Wisconsin–Madison
Ph.D. in Computer Engineering
September 2017 – Present

The Australian National University
Bachelor of Engineering (R&D) (First-Class Honours) in Electronics and Communication Systems
July 2015 – July 2017

Beijing Institute of Technology
Bachelor of Science in Electronic Information Engineering
September 2013 – July 2017

Research Interests

My current research interests involve embedded systems, mobile computing, pervasive computing, and Internet of Things (IoT).


  • Kaleido: Real-Time Privacy Control for Eye-Tracking Systems [pdf]
    Jingjie Li, Amrita Roy Chowdhury, Younghyun Kim, Kassem Fawaz
    USENIX Security Symposium (USENIX Sec), 2021 (Accepted, Acceptance Ratio (Summer): 12%
  • Using Implantable Biosensors and Wearable Scanners to Monitor Dairy Cattle’s Core Body Temperature in Real-Time
    Hanwook Chung, Jingjie Li, Younghyun Kim, Jennifer Van Os, Sabrina Brounts, Christopher Choi
    Elsevier Computers and Electronics in Agriculture, 2020 
  • Detecting Personality Traits Using Inter-Hemispheric Asynchrony of the Brainwaves
    Roneel V. Sharan, Shlomo Berkovsky, Ronnie Taib, Irena Koprinska, Jingjie Li
    International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2020 
  • uGEMM: Unary Computing Architecture for GEMM Applications
    Di Wu, Jingjie Li, Ruokai Yin, Hsuan Hsiao, Younghyun Kim, Joshua San Miguel
    International Symposium on Computer Architecture (ISCA), 2020 (Acceptance Ratio: 18.3%)
  • Personality Sensing: Detection of Personality Traits Using Physiological Responses to Image and Video Stimuli
    Ronnie Taib, Shlomo Berkovsky, Irena Koprinska, Eileen Wang, Yucheng Zeng, Jingjie Li
    ACM Transactions on Interactive Intelligent Systems (TiiS), 2020 
  • Approximate Hardware Techniques for Energy-Quality Scaling Across the System
    Younghyun Kim, Joshua San Miguel, Setareh Behroozi, Tianen Chen, Kyuin Lee, Yongwoo Lee, Jingjie Li, Di Wu
    International Conference on Electronics, Information, and Communication (ICEIC), 2020
  • MicPrint: Acoustic Sensor Fingerprinting for Spoof-Resistant Mobile Device Authentication
    Yongwoo Lee, Jingjie Li, Younghyun Kim
    EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous), 2019
  • Velody: Nonlinear Vibration Challenge-Response for Resilient User Authentication [project] [pdf]
    Jingjie Li, Kassem Fawaz, Younghyun Kim
    ACM Conference on Computer and Communications Security (CCS), 2019 (Acceptance Ratio: 16%)
  • SAADI-EC: A Quality-Configurable Approximate Divider for Energy Efficiency
    Jackson Melchert, Setareh Behroozi, Jingjie Li, Younghyun Kim
    IEEE Transactions on VLSI Systems (TVLSI), 2019
  • Detecting Personality Traits Using Eye-Tracking Data
    Shlomo Berkovsky, Ronnie Taib, Irena Koprinska, Eileen Wang, Yucheng Zeng, Jingjie Li, Sabina Kleitman
    ACM CHI Conference on Human Factors in Computing Systems, 2019 (Best Paper Award).
  • SAADI: A Scalable Accuracy Approximate Divider for Dynamic Energy-Quality Scaling
    Setareh Behroozi, Jingjie Li, Jackson Melchert, Younghyun Kim
    ASP-DAC (Asia South Pacific Design Automation Conference), 2019.
  • Continuous and Wireless Skin Contact and Ear Implant Temperature Measurements and Relations to the Core Body Temperature of Heat Stressed Dairy Cows
    Hanwook Chung, Jingjie Li, Younghyun Kim, Christopher Y. Choi
    ASABE ILES (International Livestock Environment Symposium), 2018.

Featured Projects

Privacy-Enhancing Technique for Human-Centered Sensing

We are seeking to bridge the gap of user privacy in human-centered sensing. Eye tracking enables a more immersive experience for today’s user interface, while its rich information is exposed, inducing privacy concerns about users’ interest, health, identity, etc. Through the on-going project, we are exploring the opportunity to design real-time privacy control knob for eye-tracking in mixed-reality.

Rethinking Security and Usability of User Authentication

We developed a novel solution, Velody, for user authentication in smart homes using unique vibration responses from users’ hands. Thanks to the nonlinear properties in hand-surface vibration, Velody can generate a large number of secret keys resilient to various attack and accurately authenticate users in less than one second. This work has been published at ACM CCS 2019.

Hardware Support for Low-Power IoT

To better empower the applications, I am also interested in optimizing the underlying hardware for low-power devices. During our collaboration, we propose architecture designs that use approximate computing to reduce power consumption for various operations and their applications including image processing and neural network.

Automated Personality Computing

During my bachelor study at ANU and Data61, CSIRO, I was the first student to explore the opportunity of detecting users’ personality traits from the physiological indicators by machine learning. We conducted various user studies to collect user data during activities such as video-viewing and driving. The results indicate that unseen users’ personality traits can be accurately detected without the need of a long questionnaire. The work has been accepted by ACM CHI and ACM TIIS.


  • Chancellor’s Opportunity Fellowship (COF), UW–Madison -2019
  • Qualcomm Innovation Fellowship 2019 Finalist -2019
  • Foxconn “Smart Cities-Smart Futures” Competition Final Winner (Team Leader) -2019
  • ISLPED Low-Power Design Contest Award, International Symposium on Low Power Electronics and Design, 2018
    for “AxSerBus: A Quality-Configurable Approximate Serial Bus for Energy-Efficient Sensing” -2018
  • A. Richard Newton Young Student Fellowship -2018
  • ANU College of Engineering & Computer Science Undergraduate International Partnership Scholarship -2015, 2016
  • Second Prize Scholarship for Outstanding Student, BIT -2015
  • Second Prize Scholarship, BIT -Semester 2, 2014/2015
  • First Prize Scholarship, BIT -Semester 1, 2014/2015
  • Second Prize Scholarship, BIT -Semester 2, 2013/2014
  • First Prize Scholarship, BIT -Semester 1, 2013/2014

Research Experience

  • Research Assistant in WISEST Lab, UW-Madison
    September 2017 – Present
  • R&D Student in Human-Centered Computing Area, ANU
    Research Topic: Automated Personality Detection Using Physiological Signals and Scenario-Based Stimulation
    July 2016 – July 2017
  • Student Scholar in Analytics, Data61, Commonwealth Scientific and Industrial Research Organisation (CSIRO)
    Research Topic: Behavioural Analysis of Personality Traits
    November 2016 – February 2017
  • R&D Student in Networked Systems Area, ANU
    Research Topic: Revised RSS-Based Localisation Using Software Defined Radio (SDR)
    July 2015 – July 2016


  • Research Mentor – Undergraduate Research Scholars Program (UW–Madison) 2020
  • Teaching Assistant – CS 354 Machine Organization and Programming (UW–Madison) Spring 2019


  • External Reviewer – ISLPED (International Symposium on Low Power Electronics and Design) 2018, 2019
  • External Reviewer – DAC (Design Automation Conference) 2018, 2019, 2020
  • External Reviewer – ASP-DAC (Asia and South Pacific Design Automation Conference) 2018, 2019
  • External Reviewer – VLSID (International Conference on VLSI Design) 2019
  • External Reviewer – SAC (Symposium on Applied Computing) 2018