معرفی
Maggie Zhu (Fengqing Maggie Zhu) is an Assistant Professor at Purdue University's Department of Electrical and Computer Engineering, College of Engineering. She holds a Ph.D. in Electrical and Computer Engineering from Purdue (2011) and has focused on image processing, video compression, computer vision, and computational photography since joining the faculty in 2015.
- Ph.D. in Electrical and Computer Engineering (2011)
- Assistant Professor at Purdue (2015–present)
- Staff Researcher at Huawei Technologies (2012)
Her research bridges machine learning with practical applications in image compression, 3D reconstruction, and nutrition analysis, particularly through wearable technologies and edge-cloud systems. Recent work includes class-incremental learning for 3D perception and low-rank adaptation for efficient vision models.
Scientific awards include:
- Huawei Certification of Recognition (2012)
- NIH mHealth Summer Institute Participant (2011)
- Charles C. Chappelle Graduate Fellowship
- Motorola Foundation Fellowship
She has contributed to food portion estimation using monocular imaging, neural video compression, and domain adaptation methods, with publications spanning learned compression techniques and healthcare applications.
Recent grants focus on technology-enabled dietary assessment and collaborative computing frameworks.
