Yiwei Lv, an alumna of The Chinese University of Hong Kong, Shenzhen's 2019 cohort, was recently awarded the 2023 Qualcomm Innovation Fellowship. Sponsored by Qualcomm Incorporated, this fellowship supports and recognizes doctoral students conducting innovative research related to electrical engineering, computer science, and associated fields. It provides selected students with funding and guidance to advance cutting-edge research with the potential to significantly impact areas including wireless communications, semiconductor technology, and machine learning—all closely aligned with Qualcomm’s business interests.

LvYiwei, alumna of SSE, Shaw College

After completing her undergraduate studies in Electronic Information Engineering at CUHK-Shenzhen's School of Science and Engineering in 2019, Lv began pursuing a Ph.D. in Electronic and Computer Engineering at Carnegie Mellon University. Under the guidance of Professor John Dolan, she focuses primarily on security control for multi-robot systems and human-robot interaction, with applications in autonomous driving safety. Her dedicated research has earned recognition through Best Paper Awards and nominations for Best Student Paper Awards at major international conferences and workshops.

The highly competitive Qualcomm Innovation Fellowship requires applicants to submit research proposals outlining their work and prospective impact. Recipients obtain financial support, access to Qualcomm’s expertise and resources, and opportunities to present findings at the annual Innovation Fellowship Program summit—held in high esteem by academics and industry leaders alike. The fellowship has empowered numerous promising Ph.D. researchers to pioneer technological innovations.

Yiwei Lv awarded with AAMAS Best Student Paper Runner-up in 2023

As one of the inaugural undergraduate students at SSE, CUHK-Shenzhen, Lv developed a strong interest in robotics under the mentorship of President Yangsheng Xu. Driven by passion, she thoroughly researched undergraduate research funding programmes worldwide, leading to her proposal and initiation of the University’s Undergraduate Research Awards (URA) scheme in 2017, garnering multi-departmental support. Serving as the first undergraduate intern at the Engineering Laboratory of Robot and Intelligent Manufacturing, her two-year research on unmanned sailboats under Professor Huihuan Qian’s guidance resulted in her first patent and becoming a finalist for the Best Student Paper Award at the World Congress on Intelligent Control and Automation (WCICA).

Prof. Huihuan Qian, Yiwei Lv and Prof. John Dolan (from left to right) at ICRA2023