ECE Graduating Doctoral Student Earns Triple Recognition
Weinan Wang receives highly competitive graduate awards at the university and school levels
Electrical and computer engineering (ECE) graduating doctoral student, Weinan Wang, is the recipient of three university awards for his achievements: the School of Graduate Studies Outstanding Doctoral Student Award; the inaugural School of Engineering Outstanding Student Award; and the Department of Electrical and Computer Engineering Graduate Academic Achievement Award.
The beginning of a research career
A native of China, Wang joined the department in 2018 as part of the 3+2 program, a joint initiative between Rutgers ECE and the University of Electronic Science and Technology of China. Despite some initial language hurdles, Wang soon found himself flourishing in Professor Laleh Najafizadeh's classes. So much so, that Wang was invited to join her Integrated Systems and Neuroimaging Lab as a research assistant in his senior year—an opportunity that marked the beginning of his research career. He continued his graduate studies in the same lab, first as a master's student and then as a doctoral student, earning his Ph.D. in 2025.
Throughout his graduate studies, Wang published 14 first-authored peer-reviewed papers in major journals and conferences while maintaining a 4.0 GPA, and contributed to several patent applications. His research has advanced the field of AI-enabled cardiovascular monitoring through both methodological innovation and broad community impact. Wang developed novel algorithms for blood pressure and heart rate variability estimation, and introduced clinically meaningful frameworks, addressing key limitations in generalizability of blood pressure estimation AI models, defining new research directions in the field with clinical relevance.
Another key contribution of Wang's doctoral work is PulseDB, a widely used public dataset that enables reproducible evaluation and fair algorithm comparison. PulseDB has gained broad international attention and has been used in research by companies worldwide, including Samsung and Apple, and research institutions in Japan, Germany, and the United Kingdom.
Wang has also collaborated on other research projects in Najafizadeh's lab, including ChatBCI (an AI-enhanced brain-computer interface), demonstrating both his technical breadth and collaborative skills.
Solving puzzles as a postdoctoral associate
Now a postdoctoral associate in Najafizadeh's lab, Wang is extending his expertise into other fields, aiming to develop innovative solutions that extract meaningful information from physiological signals for neuroscience, clinical, and digital health applications.
"Interdisciplinary research excites me," says Wang. "It's like solving a puzzle. You bring together seemingly separate fields, such as cardiovascular monitoring, neuroscience, large language models, and signal processing, through thoughtful engineering design, and something entirely new emerges that could make a meaningful difference in people's health and quality of life.
"I am truly honored to receive these awards and grateful to my advisor, Professor Najafizadeh, my labmates, and the Rutgers community for their support and for the opportunities that shaped my graduate journey."
