Razi Iqbal

University of Engineering and Technology Lahore, Ontario Tech University

Papers

Total Citations

H-Index

About

Razi Iqbal is a leading researcher at the intersection of artificial intelligence, smart cities, and autonomous systems. His work primarily focuses on enhancing the safety, trustworthiness, and predictive capabilities of intelligent technologies in urban environments. Dr. Iqbal’s major contributions include developing a generative adversarial network (GAN) framework to predict human motion trajectories in video streams—a critical advancement for autonomous navigation and surveillance systems, garnering 17 citations. He has also pioneered a trust-based mechanism for drones operating in smart cities, addressing the pressing need for secure and reliable aerial systems in urban ecosystems; this work has earned 16 citations. By tackling the dual challenges of human behavior prediction and drone trustworthiness, Dr. Iqbal is shaping the future of responsive, safe, and intelligent urban infrastructure. His research is widely recognized for its practical implications in enhancing the quality of life through technology, making him a notable figure in the fields of computer vision, IoT, and smart city innovation.