Rate My Professor Cunjian Chen

Dr. Cunjian Chen serves as an Adjunct Lecturer (equivalent to Assistant Professor) in the Department of Data Science and Artificial Intelligence within Monash University's Faculty of Information Technology, and as a Research Fellow at Monash University Suzhou in China. He earned his Ph.D. in Computer Science from West Virginia University in 2014 under the supervision of Arun Ross and Antitza Dantcheva. Prior to his current roles, Chen held positions at Michigan State University, including Postdoctoral Fellow from 2014 to 2015, and Research Associate and Senior Research Associate in the Department of Computer Science and Engineering from 2017 to 2021. He leads the Image and Vision Group, focusing on advanced research in image and video analysis, computer vision, and deep learning.

Chen's research specializations encompass generative AI, computer vision, biometrics, deep learning, and medical image analysis. He has authored over 50 peer-reviewed papers in leading venues such as IEEE TPAMI, IJCV, IEEE TNNLS, IEEE TDSC, IEEE TIFS, IEEE TETCI, CVPR, NeurIPS, and AAAI, amassing more than 3,200 citations. Key publications include "Consistent and Controllable Image Animation with Motion Diffusion Models" (IEEE/CVF CVPR, 2025), "MTS-Net: Dual-enhanced positional multi-head self-attention for 3D CT diagnosis of May-Thurner Syndrome" (Biomedical Signal Processing and Control, 2026), "Iterative Window Mean Filter: Thwarting Diffusion-Based Adversarial Purification" (IEEE Transactions on Dependable and Secure Computing, 2025), "Synthetic Curriculum Reinforces Compositional Text-to-Image Generation" (CVPR, 2026), and "Navigating Unlearning in Medical AI: A Framework for Diabetic Retinopathy Classification" (IEEE TETCI, 2025). Chen holds nine patents and has received three best paper awards: at ISBA 2017, WACVW 2018, and WACVW 2021. He is a Senior Member of IEEE and contributes significantly to the field as Associate Editor for IEEE Transactions on Biometrics, Behavior, and Identity Science; Neurocomputing; Neural Processing Letters; and IET Image Processing. Additionally, he has served as Area Chair for conferences including ICME, ICIP, and FG, Tutorial Chair for IJCB, and received the Outstanding Area Chairs award from ICME 2021.