Ren Keyan

Personal profile

Gender: Female

Degrees: Ph.D.


Research Areas:

  1. Theories, methods and key technologies of computer vision, machine learning and artificialintelligence;

  2. Video understanding and action recognition;

    3.2D and 3D objects detection, tracking and recognition

Personal Statement

Dr. Keyan Renreceived her Ph.D. in Electrical Engineering from the Beijing University of Posts and Telecommunications, China, in 2011. Between 2008 and 2010, she joined Department of Computer and Information Science in University of Pennsylvania, USA, as a visiting Ph.D. student. Between 2018 and 2019, she joined the same university as a visiting scholar, where she focused on machine learning, outdoor scene understanding, perception and prediction. From 2012 to 2015, she joined Chinese Aeronautical Establishment as a Senior Engineer, where she focused on numerical calculation, high performance calculation. She is currently an Assistant Professor of Faculty of Information Technology, Beijing University of Technology, China. Her current research is supported by the National Natural Science Foundation of China (NSFC) of 2018, and Aeronautical Science Foundation of China of 2016.