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Fengqing Zhu, PhD (she/her/hers)

Associate Professor
Elmore Family School of Electrical and Computer Engineering, Purdue University
West Lafayette, Indiana, United States

Fengqing Maggie Zhu is an Associate Professor of the Elmore Family School of Electrical and Computer Engineering at Purdue University, West Lafayette, Indiana. She received the B.S.E.E. (with highest distinction), M.S. and Ph.D. degrees in Electrical and Computer Engineering from Purdue University in 2004, 2006 and 2011, respectively. Prior to joining Purdue in 2015, she was a Staff Researcher at Futurewei Technologies, where she received a Certification of Recognition for Core Technology Contribution. Her research interests include smart health with a focus on image based dietary assessment and wearable sensor data analysis, visual coding for machines, and application-driven visual data analytics. She is the recipient of an NSF CISE Research Initiation Initiative (CRII) award, a Google Faculty Research Award, and an ESI and trainee poster award for the NIH Precision Nutrition workshop. Her group's work on visual coding for machines has received the Best Algorithms Paper Award at the Winter Conference on Applications of Computer Vision (WACV) 2023 and the Best Paper Finalists at the Picture Coding Symposium (PCS) 2022. She is currently serving as the Chair of the IEEE MMSP-TC (2026-2028) and an Elected Member of the IVMSP-TC (2025-2027). She is also an Associate Editor for the IEEE Transactions on Multimedia (2025-2027). She has served on the organizing and program committees of major conferences in her field and received recognition such as the Outstanding Area Chair for ICME 2021. Dr. Zhu is a senior member of the IEEE.

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