Guoyu Lu, Ph.D.

Assistant Professor

Computer Vision, Machine Learning, Robotics

Guoyu Lu is an Assistant Professor in the School of Electrical and Computer Engineering at University of Georgia. Before joining UGA, he was an assistant professor at Rochester Institute of Technology, a research scientist on autonomous driving at Ford, and computer vision engineer at Disney ESPN Advanced Technology Group. Guoyu Lu finished his PhD and MS at University of Delaware. Before studying at UD, he was enrolled in the European Master in Informatics (EuMI) Erasmus Mundus program. Lu obtained his master degree in Computer Science at University of Trento, and earned a master degree in Media Informatics at RWTH Aachen University. Lu also took an appointment as a visiting scholar at Auckland University of Technology, and was a research intern at Siemens Corporate Research in Princeton and Bosch Research in Palo Alto. Lu earned his B.S. in Software Engineering at Nanjing University of Posts & Telecommunications, with a minor in Business Administration and Management.

Guoyu Lu has been PI for projects funded by NSF (CSSI, CRII, Core SHF), USDA, Ford, GM, Qualcomm, Tencent, Mackinac, etc. Guoyu Lu received the USDA New Investigator Award, Ford URP Award, Tencent Rhino-bird Young Faculty Award, Frank A. Pehrson Award, and Erasmus Mundas Scholarship.

Dr. Lu’s research interests are in computer vision, AI, deep / machine learning, robotics, multimedia, and AI-based infrastructure systems.

Other Professional Experience
  • Leading Program Chair for International Workshop on Visual Odometry and Computer Vision Applications Based on Location Clues in conjunction with CVPR (2022) (open for soliciting papers)
  • Associate Editor, SPIE/IST Journal of Electronic Imaging
  • Area Chair, ACM Multimedia Conference (2022)
  • NSF CISE Panel (2021)
  • Guest Editor for Springer Journal of Multimedia Tools and Applications (2016-17, 2020-21)
  • Guest Editor for Frontier Robotics and AI (2021)
  • Leading Program Chair for International Workshop on Visual Odometry and Computer Vision Applications Based on Location Clues in conjunction with CVPR (2021, 2019, 2018, 2017)
  • Leading Program Chair for Joint workshop on Long Term Visual Localization, Visual Odometry and Geometric and Learning-based SLAM in conjunction with CVPR (2020)
  • Perception and Vision Chair, 4th Ford Global Control Conference (2017)
Areas of Expertise
  • Multi-view Imaging (Spring 2018, 2019, 2020, 2021, 2022)
  • Robot Vision (Fall 2018, 2021)
  • Image Processing and Computer Vision (Spring 2019, 2020)
Publications
Patents

Bloom removal for vehicle sensors
US Patent 10,593,029, 2019

Other Links

Join a cutting-edge engineering program at a time-honored university

Apply Today Make A Gift