Dr. Noman Khan

About

Dr. Noman Khan is an Associate Professor at Yonsei University in South Korea. His research areas include real-time anomaly recognition, action understanding in low-light environments, and AI frameworks for energy prediction and biomolecular design. He has contributed significantly to the field with recent articles focusing on class-incremental learning networks, dual stream deep attention networks, and enhanced frameworks for surveillance applications. Dr. Khan's work integrates deep learning techniques with practical applications across various domains of technology and science.