Jingjie Li

Jingjie Li is a Lecturer (Assistant Professor) in the School of Informatics at the University of Edinburgh, where he conducts interdisciplinary research at the intersection of computer systems, cybersecurity, and human-computer interaction. He is a member of the Institute for Computing Systems Architecture and the School of Informatics Ethics Committee.

• Ph.D. in Computer Engineering, University of Wisconsin-Madison (2017–2023)
• B.Eng. (R&D) with First-Class Honours, Australian National University (2015–2017)
• B.Sc., Beijing Institute of Technology (2013–2015)

His research focuses on user-centric security and privacy, measuring human behavior in digital systems, and efficient human-machine interfaces. He investigates risks in emerging technologies such as smart homes, AR/VR, and AI systems, aiming to make them safer and more human-centric. His work combines technical innovation with behavioral insights to design practical privacy controls, measure digital risks, and build efficient computing platforms.

The recent publications highlight a strong trend in privacy transparency, AI explainability, smart home and AR/VR security, and hardware-software co-design. His work frequently appears in top-tier venues including IEEE S&P, USENIX Security, ACM CHI, and ISCA, reflecting a consistent focus on both technical depth and human factors.

Notable scientific awards include:

• ACM CHI Best Paper Award (2019)
• Facebook Trustworthy Products in AR, VR, and Smart Devices Award (2021)
• CPS Rising Star, NSF (2022)
• Generative AI Laboratory Seedcorn Award, University of Edinburgh (2024)
• Qualcomm Innovation Fellowship Finalist (2019, 2021)

Jingjie Li actively supervises PhD students including Jiuming Jiang and Karen Jiamin Zheng, and co-supervises Lawrence Piao and Temima Hrle. He has received research support through fellowships such as the UW–Madison Chancellor’s Opportunity Fellowship and has collaborated globally with institutions including Max Planck Institute, Visa Research, and CSIRO. He serves on the program committees of major conferences like ACM CCS, USENIX Security, and ACM CHI.

He leads a dynamic research team focused on systems security and human-centered computing, hosting undergraduate researchers and mentoring students through projects in privacy, AI transparency, and hardware security. His lab fosters interdisciplinary collaboration and real-world impact through community engagement, such as the 'Hack Your Age' workshop with intergenerational participants.