About · Yuan Lab

About

Yuan Lab is part of the College of Computer Science and Engineering, University of Emergency Management. We work at the intersection of computer vision, AI, and geophysics.

Our research spans three areas — intelligent processing of electromagnetic satellite data, video-based seismology and intelligent earthquake monitoring, and industrial vision inspection. The lab has carried out projects commissioned by the Ministry of Emergency Management, the Institute of Geophysics (CEA), the National Space Science Center of CAS, and others, with results published in journals including JGR: Space Physics, IEEE TIM, and Remote Sensing.

We value reproducibility and open science: open-sourced projects will gradually release code and datasets on Gitee with reproduction guides on this site. Students interested in computer vision, deep learning, and geophysical applications are welcome to join.

Research →

About Jing Yuan

Dr. Jing Yuan is an Associate Professor at the College of Computer Science and Engineering, 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 industrial vision inspection.

Education

Ph.D., Tsinghua University — Information and Communication Engineering (computer vision), 2011.09–2018.12
M.Eng., Central China Normal University — Circuits and Systems (intelligent signal processing)
B.Eng., Hebei University of Science and Technology — Communication Engineering

Career

Teaching Assistant / Lecturer, Institute of Disaster Prevention
Associate Professor, University of Emergency Management (formerly Institute of Disaster Prevention)

Professional Service

Member, China Computer Federation (CCF)
Committee member, Commission on Artificial Intelligence, Chinese Geophysical Society

Honors

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

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.