معرفی
Ziming Zhang is an Assistant Professor in the Department of Electrical & Computer Engineering at Worcester Polytechnic Institute (WPI). He holds a PhD from Oxford Brookes University (2013), MS from Simon Fraser University (2010), and BS from Northeastern University, China (2005). His research focuses on computer vision, machine learning, and deep learning with applications in data-efficient learning, medical imaging, autonomous systems, and IoT. He leads the Vision, Intelligence, and System (VISLab) group, which emphasizes training efficiency, inference efficiency, data efficiency, and model efficiency in AI systems.
- Former positions: Research Scientist at Mitsubishi Electric Research Laboratories (MERL, 2016–2019), Research Assistant Professor at Boston University.
- Awards: R&D100 Award (2018), NSF Grant for Data-Efficient Deep Learning (2020).
Research interests include zero-shot learning, optimization, person re-identification, and medical applications. He has published widely in top venues like CVPR, ICCV, ECCV, and NIPS. His work on Deep Learning-based Water Detector won the R&D100 Award.
He advises PhD students on topics such as point cloud completion, robotic ultrasound imaging, and medical data analysis. Current lab projects include Team-Efficient Learning frameworks and collaborations with industry partners like General Dynamics Mission Systems.
