Dr. Jiang received his bachelor degree in Technology and Instruments in Test and Control from the University of Electronics Science and Technology of China in 2008. He received his master's degree in Robotics and Ph.D in Computer Science from the University of Pennsylvania in 2010 and 2016, respectively. In August of 2017, he joined Toyota InfoTechnology Center U.S.A as a researcher. His research interest is model-based software development and its applications in medical Cyber-Physical Systems and Connected Cars. In July 2018, He joined the School of Information Science and Technology in ShanghaiTech University as a tenure track assistant professor.

My research develops theoretical foundations for Human-Cyber-Physical Systems (HCPS) in safety-critical domains. To ensure safe and effective decision-making, two requirements must be met: (1) explicit mechanism-to-observation and decision-to-outcome causality; (2) real-time understanding of human operators' cognitive states and preferences.

I propose a dual-digital-twin framework resolving these challenges: the Environment Digital Twin enables counterfactual analysis for causality establishment, while the Cognitive Digital Twin infers decision-makers’ cognitive parameters and predicts their responses to decision supports. This architecture enables AI systems to complement—rather than replace—human experts in medical and automotive applications, achieving safe and effective human-machine collaboration. Crucially, decisions guided by these twins ensure decision-makers operate with the correct contextual understanding, while the AI-generated support becomes inherently more intuitive, easier to accept, and ultimately more effective in guiding the human towards optimal choices.

CS132: Software Engineering

CS233: Software Development and Validation of Medical Cyber-Physical Systems

Member of SIST Curriculum and Teaching Committee

Member of SIST Resource Management Committee

Member of ShanghaiTech Industrial Practice Steering Committee

2022 SIST Excellent Service Award

2022,2023,2024 Excellent Mentor of ShanghaiTech University

Class 2020 SIST Excellent Mentor Group

2020 Excellent Advisor for Industrial Practice

2019 Excellent Advisor for Industrial Practice