Mei Chen
Principal Research Manager
About
Mei Chen is a Principal Researcher Manager at Microsoft Cloud & AI. She served as the Chief Science Advisor to the Corporate VP of Computer Vision.
She was an Associate Professor in the Electrical and Computer Engineering Department at the State University of New York at Albany from 2014 to 2018. From 2011 to 2014, she built and led the Intel Science and Technology Center on Embedded Computing (ISTC-EC) hosted at Carnegie Mellon University, driving research along collaborative perception, real time machine learning, robotics, and embedded architecture among seven universities including CMU, UC Berkeley, Cornell, UIUC, UPenn, Georgia Tech, UW, and Penn State. Previously she held researcher and research lead positions at Intel Labs, Hewlett Packard Labs, and SRI Sarnoff Corporation.
Mei’s work in computer vision and biomedical image analysis has been nominated finalists for six Best Paper Awards and won three. She holds 16 patents granted by the USPTO.…
Current Services:
Editor, Computer Vision for Microscopy Image Analysis 1st Edition
Computer Vision for Microscopy Image Analysis provides a comprehensive and in-depth introduction to state-of-the-art computer vision techniques for microscopy image analysis, demonstrating how they can be effectively applied to biological and medical data.
Lead Guest Editor
International Journal on Computer VIsion (IJCV), special issue on Computer Vision in the Wild
Associate Editor
Machine Vision and Applications
Area Chair
IEEE Conference on Computer Vision & Pattern Recognition (CVPR 2022)
Area Chair
International Conference on Computer Vision (ICCV 2021)
Lead Area Chair, Mentor for Doctoral Consortium
IEEE Conference on Computer Vision & Pattern Recognition (CVPR 2021)
Chair, 6th IEEE Workshop on Computer Vision for Microscopy Image Analysis (CVMI'2021)
The 6th IEEE Workshop on Computer Vision for Microscopy Image Analysis (CVMI) will be held in conjunction with the CVPR 2021 conference. This workshop will bring together computer vision experts from academia, industry, and government who have made progress in developing computer vision tools for microscopy image analysis. It will provide a comprehensive forum on this topic and foster in-depth discussion of technical and application issues. It will also serve as an introduction to researchers and students curious about this important and fruitful field.