Atif Mehmood

University of Engineering and Technology Taxila, National University of Modern Languages, Zhejiang Normal University

Papers

Total Citations

H-Index

About

Atif Mehmood is a rising researcher whose work sits at the intersection of intelligent robotics, decision science, and medical imaging. His primary contributions lie in developing advanced control systems for mobile robots—notably, his 2021 paper on applying deep reinforcement learning to a three-wheeled omnidirectional mobile robot (20 citations) demonstrates how agents can learn optimal navigation policies in complex, real-world environments. Recognizing that industrial robot selection is fraught with ambiguity, Mehmood introduced a hybrid CRITIC-VIKOR method under probabilistic uncertain linguistic q-rung orthopair fuzzy sets (2024, 17 citations), offering decision-makers a rigorous framework for evaluating competing robotic systems. In healthcare, his 2023 work on dental image enhancement (17 citations) tackles the critical challenge of non-uniform brightness and low contrast in X-rays, enabling earlier and more accurate diagnosis of oral diseases while reducing patient exposure to ionizing radiation. With over 54 citations across these three highly-cited papers, Mehmood’s research bridges theoretical innovation and practical application, making him a notable voice in the fields of autonomous systems, multi-criteria decision-making, and medical image processing.