معرفی
Chengjun Liu is a Professor in the Department of Computer Science at New Jersey Institute of Technology (NJIT). His research focuses on computer vision, deep learning, and traffic management, with notable contributions to medical imaging applications, image analysis techniques, and intelligent surveillance systems. He has actively participated in federal grants, including a National Science Foundation project on wavelet-based image analysis and another addressing healthcare inequities in South Texas. His work spans over 135 publications, with a strong emphasis on practical applications such as real-time traffic monitoring, anomaly detection, and skin disease diagnostics using AI.
Research Interests:
- Deep Learning and Computer Vision
- Medical Imaging and Diagnosis
- Traffic Surveillance and Intelligent Transportation Systems
- Pattern Recognition and Image Classification
- Biometric Systems and Feature Extraction
Collaborations and Grants:
- Co-PI on NSF-funded project: Wavelet-based Modeling and Image Analysis (2000–2003)
- Co-PI on project: Examining Underuse of Healthcare by LGBTQ+ in South Texas (2000–2025)
Key Research Trends: Recent publications highlight advancements in federated learning for traffic management, deep learning-based rosacea detection, and real-time video analytics. His work integrates statistical methods with modern AI frameworks to address real-world challenges in healthcare and transportation.
