Yuan Lab袁静课题组

Dr. Jing Yuan is an Associate Professor at the College of Computer and Information Security, University of Emergency Management (UEM), where she leads the lab. Her research sits at the intersection of artificial intelligence and geophysics, covering intelligent processing of electromagnetic satellite data, video-based seismology and intelligent earthquake monitoring, and industrial vision inspection.

Education

• Ph.D., Department of Electronic Engineering, Tsinghua University, 2011.09–2019.01
• M.Eng., School of Physics and Technology, Central China Normal University, 2004.09–2007.06
• B.Eng., School of Information Science and Technology, Hebei University of Science and Technology, 1999.09–2003.06

Career

• 2007.07–2009.07 Teaching Assistant, Institute of Disaster Prevention
• 2009.08–2016.12 Lecturer, Institute of Disaster Prevention
• 2017.01–present Associate Professor, University of Emergency Management (formerly Institute of Disaster Prevention)

Professional Service

• Member, China Computer Federation (CCF)
• Member, Chinese Association for Artificial Intelligence (CAAI)
• Committee member, Commission on Space-based Earth Observation, Chinese Geophysical Society
• Committee member, Commission on Artificial Intelligence, Seismological Society of China
• Member, Artificial Intelligence Branch, China Association for Disaster Prevention

Honors

• Outstanding Party Member, China Earthquake Administration affiliates, 2021
• Excellent Teacher, Institute of Disaster Prevention, 2021
• Outstanding Party Member, Institute of Disaster Prevention, 2021

Student Mentoring (selected)

• Third Prize, Lanqiao Cup National Finals in C/C++ Programming (2024); Second Prize, Hebei Division (2023)
• Second and Third Prizes, “Challenge Cup” Hebei Extracurricular Academic Competition (2023)
• Two Third Prizes, China Collegiate Computing Contest, Hebei Division (2024)
• First Prize, Tianchi thyroid ultrasound imaging algorithm challenge (2024)
• Second Prize, JD Health Global Medical AI Innovation Competition (2024)

Prospective Students

She supervises graduate students in Geophysical Exploration and Information Technology. Students interested in computer vision, deep learning, and their geophysical applications are welcome to join the lab.