Omar Arif

National University of Sciences and Technology, Georgia Institute of Technology

Papers

Total Citations

H-Index

About

Omar Arif’s research lies at the intersection of robotics, cloud computing, and construction automation, with a focus on intelligent systems for disaster response and material handling. His most cited work introduces a multi-agent framework for cloud-based management of collaborative robots, specifically deploying teams of quadcopters for surveillance and decision support in disaster-affected areas—a contribution that has garnered 10 citations and highlights his innovative approach to scalable, real-time coordination. In earlier studies, Arif explored the potential of Time-of-Flight (TOF) range imaging for object identification and manipulation in construction, demonstrating how depth-sensing cameras can classify and track objects on conveyor belts (6 and 2 citations, respectively). These foundational efforts, co-authored with collaborators like Patricio A. Vela and Jochen Teizer, showcase his ability to bridge computer vision and robotics for practical industrial applications. Arif’s work, though modest in citation volume, offers a compelling vision for integrating autonomous aerial robots and smart sensing into construction and emergency management, making him a notable contributor to the growing field of cyber-physical systems in built environments.