Qian Lou

Qian Lou serves as an Assistant Professor in the Department of Computer Science at the University of Central Florida and is an active member of the university's Cybersecurity and Privacy Cluster. His research program targets critical challenges in deep learning systems, specifically enhancing efficiency, privacy, and security for applications in computer vision and natural language processing.

His academic foundation includes:

• Ph.D. in Computer Engineering from Indiana University, Bloomington
• M.S. in Computer Engineering from Indiana University Bloomington
• B.S. in Computer Science from Shandong University

Lou's research spans deep learning methodologies with specialized focus on computer vision and natural language processing systems. His work integrates cybersecurity principles into machine learning architectures, particularly through privacy-preserving techniques and secure computational frameworks. This interdisciplinary approach bridges computer systems architecture with practical AI deployment challenges, emphasizing efficiency optimizations for resource-constrained environments.

His scholarly recognition includes:

• 2018 AAMAS Best Paper Finalist
• 2016 AAMAS Best Demonstration Paper Finalist
• University of Southern California Merit Fellowship

Professionally, Lou contributes extensively to the academic ecosystem through program committee service and peer review activities for leading conferences and journals in artificial intelligence and computer science. His industry experience at Samsung Research AI Center informs his applied research perspective and technology transfer approach.

Within UCF's Cybersecurity and Privacy Cluster, Lou collaborates on cross-disciplinary initiatives addressing real-world security vulnerabilities in AI systems, working alongside researchers from engineering, data science, and policy domains to develop robust computational frameworks.