معرفی
Dr. Avideh Zakhor is a Professor and Qualcomm Chair at the Department of Electrical Engineering and Computer Sciences (EECS) at the University of California, Berkeley. She is affiliated with several research centers including the Berkeley Artificial Intelligence Research Lab (BAIR), Berkeley Deep Drive Initiative, Video and Image Processing Lab, and Berkeley Center for New Media (BCNM). Her career spans over three decades with significant contributions to signal processing, 3D computer vision, robotics, and deep learning.
- 1983 B.Sc. in Electrical Engineering from Caltech
- 1985 S.M. in Electrical Engineering and Computer Science from MIT
- 1987 Ph.D. in Electrical Engineering and Computer Science from MIT
Dr. Zakhor's research interests focus on 3D computer vision, autonomous systems and robotics, deep learning, and signal/image processing. Her work spans diverse areas including drone navigation, medical imaging analysis, indoor positioning, and building energy audits. She has led projects on drone-based 3D building reconstruction, legged robot locomotion, and melanoma detection using AI.
The 15 most recent publications highlight her work in several key areas: person search pre-training techniques, drone-based indoor navigation and 3D modeling, medical image segmentation for melanoma detection, hexapod robot locomotion, and proximity detection for public health. These publications demonstrate her expertise at the intersection of computer vision, robotics, and AI applications.
Dr. Zakhor has received numerous prestigious awards throughout her career:
- 2022 Winner of Phases 1 and 2, Department of Energy E-Robot Competition
- 2018 Electronic Imaging Scientist of the Year by SPIE
- 2004 Okawa Research Grant
- 2002 IEEE Fellow
- 1992 Office of Naval Research Young Investigator Award
- 1990 Presidential Young Investigator (PYI) Award from President George H.W. Bush
- 1990 Junior Faculty Development Award
- 1984-1988 Hertz Fellowship
- 1983 Henry Ford Engineering Award
- 1982-1983 General Motors Scholarship
Dr. Zakhor has advised numerous research projects and has been involved in significant research grants. She has founded successful companies including Indoor Reality, which develops technologies for rapid 3D mapping and visualization of buildings and assets.
She leads research initiatives in various cutting-edge technologies:
- Unmanned Aerial Vehicles (UAV) with focus on autonomy and obstacle avoidance, perception, path planning and control
- Deep learning applications in legged locomotion, unsupervised learning for multimodal sensors, misinformation detection, and learning-based image compression
- Wi-Fi proximity detection methods for contact tracing of diseases
- Temporal graphical neural networks for disease prediction
- Detection of small objects in ultra-high resolution images
- 3D reconstruction and recognition
