About
Weiping Pei, Ph.D., is an assistant professor in the School of Cyber Studies at The University of Tulsa. Her research interests are broadly in the area of security and privacy, crowdsourcing, machine learning and human-computer interaction, with the recent focus on secure and trustworthy crowdsourcing, usable security and privacy, social engineering and online scams and adversarial machine learning. Her work has been published in top-tier venues such as ACM WWW, ACM CSCW, IEEE S&P, ACM CCS and Technology in Society. She received her Ph.D. degree in computer science from the Colorado School of Mines in 2022. Before that, she earned a B.Eng. degree in microelectronics and an M.Eng. degree in software engineering from the Sun Yat-sen University in 2015 and 2017, respectively.
Awards & Honors
- Carrie Kirk Faculty Fellow I, College of Engineering & Computer Science, The University of Tulsa, 2026-2028
- Zelimir Schmidt Early Career Research Award, College of Engineering & Computer Science, The University of Tulsa, 2026
- CAREER Award, National Science Foundation, 2025
- SaTC Award, National Science Foundation, 2025
- CRII Award, National Science Foundation, 2023
- Distinguished Nominee of the university-level Rath Award for the Best Ph.D. Thesis with the Potential for the Greatest Societal Impact at MINES, December 2022
- Outstanding CS Ph.D. Student Award, Colorado School of Mines, 2021
- Grace Hopper Celebration (GHC) Student Scholarship, 2018
Education
- Ph.D., Computer Science, Colorado School of Mines, 2022
- M.Eng., Software Engineering, Sun Yat-sen University, 2017
- B.Eng., Microelectronics, Sun Yat-sen University, 2015
Research Interests & Areas of Expertise
- Security and privacy
- Crowdsourcing
- Machine learning
- Human-computer interaction
