Meet Our Women in AI Panelists
Kristin Dana
Kristin Dana, Ph.D.
Full Professor, Electrical and Computer Engineering
Rutgers University
Website
Dr. Kristin J. Dana received a Ph.D. from Columbia University (New York, NY) in 1999, an M.S. degree from Massachusetts Institute of Technology in 1992 (Cambridge, MA), and a B.S. degree in 1990 from the Cooper Union (New York, NY). She is currently a Full Professor in the Department of Electrical and Computer Engineering at Rutgers University. She is also a member of the graduate faculty of Rutgers Computer Science Department. Prior to academia, Dr. Dana was on the research staff at Sarnoff Corporation a subsidiary of SRI (formerly Stanford Research Institute), developing real-time motion estimation algorithms for applications in defense, biomedicine, and entertainment industries. She is the recipient of the General Electric “Faculty of the Future” fellowship in 1990, the Sarnoff Corporation Technical Achievement Award in 1994 for the development of a practical algorithm for the real-time alignment of visible and infrared video images, the 2001 National Science Foundation Career Award for a program investigating surface science for vision and graphics, and a team recipient of the Charles Pankow Innovation Award in 2014 from the ASCE. Dr. Dana’s research expertise is in computer vision including computational photography, machine learning, quantitative dermatology, illumination modeling, texture and reflectance models, optical devices, and applications of robotics. On these topics, she has published over 70 papers in leading journals and conferences.
Mei Han
Mei Han, Ph.D.
Director of PingAn Technology
US Research Lab at Silicon Valley
Website
Mei Han is the director of Ping An Technology, US Research Lab at Silicon Valley. She has published over 30 conference and journal papers on video analysis, visual tracking, object detection, geometric modeling, image processing, multimedia processing, computer vision and machine learning. Prior to joining Ping An, she held the position of research scientist at Google and research staff member at NEC Labs America. Technologies developed by Dr. Han and her colleagues are at the core of the company Vidient’s innovative surveillance products. Mei Han holds Doctorates in Robotics and Computer Science from Carnegie Mellon University and Tsinghua University.
Catherine Qi Zhao
Catherine Qi Zhao, Ph.D.
Assistant Professor, Computer Science and Engineering
University of Minnesota
Website
Catherine Qi Zhao is an assistant professor in the Department of Computer Science and Engineering at the University of Minnesota, Twin Cities. Her main research interests include computer vision, machine learning, intelligent systems, and mental disorders. Dr. Zhao has published more than 70 journal and conference papers in related venues including Neuron, Nature Communications, Current Biology, TPAMI, IJCV, CVPR, ICCV, ECCV, NeurIPS, and IROS, and edited a book with Springer, titled “Computational and Cognitive Neuroscience of Vision”, that provides a systematic and comprehensive overview of vision from various perspectives, ranging from neuroscience to cognition, and from computational principles to engineering developments.
Aiyu Cui
Aiyu Cui
Doctoral Student, Computer Vision
University of Illinois
Website
Aiyu graduated from Penn State with a Computer Science Bachelor degree last year 2018. Aiyu changed her major in freshman year from Mechanical Engineering to Computer Science and then decided to specialize in Computer Vision, which is a perfect subdomain of Computer Science combining her interests in Visual Art and passion in science together. Right now, she is pursuing her Ph.D. in Computer Vision at University of Illinois and working on teaching machines to see and understand the world as we humans do.
Mackenzie Myers
Mackenzie Myers
Undergraduate Student, Computational Data Science
Penn State
Mackenzie is a sophomore at Pennsylvania State University majoring in Computational Data Science. She is a member of the PSU Taiji club since last Fall, and has served as a treasurer since Spring 2019. She is a volunteer counselor at the School of EECS summer camp, “Dancing with Robots,” and has participated in the Women in Engineering Program (WEP). She has worked with Jesse Scott, a Ph.D. student of LPAC (Lab for Perception, Action and Cognition led by Professors R.T. Collins and Y. Liu) and Motion-Capture-for-Health Lab (directed by Professor Y. Liu) on motion capture research data collection.