Summary
Ijaz Haq is a research-focused software engineer and postdoctoral fellow with eight years’ experience at the intersection of cognitive sciences and multimedia AI, currently a Research Fellow at the University of Michigan. He holds an M.S. leading to Ph.D. from Sejong University and has led projects on intelligent movie-summary and trailer generation, deepfake detection, and multimedia security while coordinating the SMILES lab. His work spans deep learning for video and image analysis, image hashing and steganography, and energy informatics, with publications in IEEE Transactions on Industrial Informatics, Information Fusion, and Future Generation Computer Systems. A member of IEEE and regular peer reviewer, he combines rigorous academic research with practical lab coordination and cross-institutional collaboration. Based in Guangzhou with prior postdoc experience at Oakland University and research roots at Sejong, he brings global perspective and proven ability to translate multimedia research into reproducible systems. An underappreciated strength is his blend of cognitive-science framing with engineering rigor, enabling creative approaches to automated summarization and media forensics.
8 years of coding experience
6 years of employment as a software developer
Sejong University