Wan Rahiman | Robotics | Best Researcher Award Posted on 30/08/202431/08/2024 by ScienceFather Assoc Prof Dr. Wan Rahiman | Robotics | Best Researcher Award Lecturer at Universiti Sains Malaysia, Malaysia Wan Mohd Yusof Rahiman is an Associate Professor at the School of Electrical and Electronic Engineering at Universiti Sains Malaysia (USM). He has a distinguished academic and research background with a focus on control systems, pipeline leak detection, and autonomous drone technology. He has contributed to the advancement of smart logistics technology and is a leader in the development of autonomous vehicles and digital health IoT systems. His extensive industrial experience combined with his academic achievements makes him a versatile researcher, contributing significantly to both academia and industry. Profile Scopus Profile Google scholar Education Wan Rahiman holds a Ph.D. in Control Systems from the University of Manchester, United Kingdom (2009), where he specialized in Fault Detection and Isolation for Pipeline Systems. He completed his Bachelor of Engineering (BEng) in Manufacturing Engineering from Cardiff University, UK, in 2003. His academic journey equipped him with a solid foundation in both practical and theoretical aspects of engineering, enabling him to make impactful contributions to research and industry. Professional Experience Wan Rahiman’s career spans both industry and academia. He gained valuable industry experience working for Panasonic Manufacturing in Cardiff (2003-2004) and Lotus Cars in Norwich (2004-2005), where he worked as an engineer. In academia, Wan Rahiman has been with Universiti Sains Malaysia (USM) since 2010, where he serves as the Head of the Smart Port and Logistic Technology Cluster. He also conducted research at the University of Manchester from 2015 to 2016. His work experience has provided him with a unique blend of practical engineering knowledge and cutting-edge academic research. Research Interest Wan Rahiman’s research interests lie at the intersection of control systems, autonomous drone technology, and digital health IoT systems. He specializes in pipeline leak detection and localization, autonomous navigation, wireless power charging for drones, and smart logistics. His research projects often focus on modeling nonlinear systems and developing innovative solutions for industries such as transportation, logistics, and healthcare. Research Skills Wan Rahiman is proficient in several critical research areas, including fault detection, autonomous navigation, and the development of smart systems. He has expertise in modeling nonlinear systems and applying these models to real-world challenges. His skills in leading interdisciplinary research teams, acquiring research funding, and publishing in top-tier journals are well established, contributing to his success in both academic and industrial research settings. Award and Recognition Throughout his career, Wan Rahiman has received various recognitions for his research contributions. He leads the Smart Port and Logistic Technology Cluster at USM, reflecting his role as a prominent figure in smart technology research. His international collaborations and leadership roles in major research initiatives further exemplify his accomplishments and standing in the academic and scientific communities. Conclusion Wan Rahiman is highly suitable for the Best Researcher Award due to his strong academic qualifications, extensive research output, and leadership in the field of control systems, autonomous navigation, and smart logistics. His expertise in pipeline leak detection and drone technologies is highly relevant and impactful in today’s technological landscape. Although there is room for him to expand his international collaborations and explore newer research frontiers, his track record of excellence makes him a strong candidate for the award. Publication Top Notes Exploring the application of ant colony optimization in path planning for Unmanned Surface Vehicles Year: 2024 Journal: Ocean Engineering Microwave assisted synthesis of nickel oxide nanoparticles at different pH via sol gel method: Experimental and first-principles investigations Year: 2024 Journal: Inorganic Chemistry Communications Fingerprint Sensor Integration in Smart Healthcare Emergency App: Enhancing Ambulance Navigation through Emergency Route Highlighting Year: 2024 Journal: 2024 20th IEEE International Colloquium on Signal Processing and Its Applications (CSPA) – Conference Proceedings A Novel Fault Detection Approach in UAV With Adaptation of Fuzzy Logic and Sensor Fusion Year: 2024 Journal: IEEE/ASME Transactions on Mechatronics Development of a Digital Twin Prototype for Industrial Manufacturing Monitoring System Using IoT and Augmented Reality Year: 2024 Journal: International Journal of Online and Biomedical Engineering Comparative analysis between data-driven and visual-based approach in drone propeller imbalance detection Year: 2024 Journal: Journal of Vibration and Control Analysis of Pure-pursuit Algorithm Parameters for Nonholonomic Mobile Robot Navigation in Unstructured and Confined Space Year: 2024 Journal: Pertanika Journal of Science and Technology Comprehensive Technical Review of Recent Bio-Inspired Population-Based Optimization (BPO) Algorithms for Mobile Robot Path Planning Year: 2024 Journal: IEEE Access A Comprehensive Review of Recent Advances in Automated Guided Vehicle Technologies: Dynamic Obstacle Avoidance in Complex Environment Toward Autonomous Capability Year: 2024 Journal: IEEE Transactions on Instrumentation and Measurement A Framework Study on a Real-Time Operated System for Emergency Medical Services (EMS) using NODEMCU Processor Year: 2024 Journal: Journal of Advanced Research in Applied Sciences and Engineering Technology
Wan Mohd Yusof Rahiman is an Associate Professor at the School of Electrical and Electronic Engineering at Universiti Sains Malaysia (USM). He has a distinguished academic and research background with a focus on control systems, pipeline leak detection, and autonomous drone technology. He has contributed to the advancement of smart logistics technology and is a leader in the development of autonomous vehicles and digital health IoT systems. His extensive industrial experience combined with his academic achievements makes him a versatile researcher, contributing significantly to both academia and industry. Profile Scopus Profile Google scholar Education Wan Rahiman holds a Ph.D. in Control Systems from the University of Manchester, United Kingdom (2009), where he specialized in Fault Detection and Isolation for Pipeline Systems. He completed his Bachelor of Engineering (BEng) in Manufacturing Engineering from Cardiff University, UK, in 2003. His academic journey equipped him with a solid foundation in both practical and theoretical aspects of engineering, enabling him to make impactful contributions to research and industry. Professional Experience Wan Rahiman’s career spans both industry and academia. He gained valuable industry experience working for Panasonic Manufacturing in Cardiff (2003-2004) and Lotus Cars in Norwich (2004-2005), where he worked as an engineer. In academia, Wan Rahiman has been with Universiti Sains Malaysia (USM) since 2010, where he serves as the Head of the Smart Port and Logistic Technology Cluster. He also conducted research at the University of Manchester from 2015 to 2016. His work experience has provided him with a unique blend of practical engineering knowledge and cutting-edge academic research. Research Interest Wan Rahiman’s research interests lie at the intersection of control systems, autonomous drone technology, and digital health IoT systems. He specializes in pipeline leak detection and localization, autonomous navigation, wireless power charging for drones, and smart logistics. His research projects often focus on modeling nonlinear systems and developing innovative solutions for industries such as transportation, logistics, and healthcare. Research Skills Wan Rahiman is proficient in several critical research areas, including fault detection, autonomous navigation, and the development of smart systems. He has expertise in modeling nonlinear systems and applying these models to real-world challenges. His skills in leading interdisciplinary research teams, acquiring research funding, and publishing in top-tier journals are well established, contributing to his success in both academic and industrial research settings. Award and Recognition Throughout his career, Wan Rahiman has received various recognitions for his research contributions. He leads the Smart Port and Logistic Technology Cluster at USM, reflecting his role as a prominent figure in smart technology research. His international collaborations and leadership roles in major research initiatives further exemplify his accomplishments and standing in the academic and scientific communities. Conclusion Wan Rahiman is highly suitable for the Best Researcher Award due to his strong academic qualifications, extensive research output, and leadership in the field of control systems, autonomous navigation, and smart logistics. His expertise in pipeline leak detection and drone technologies is highly relevant and impactful in today’s technological landscape. Although there is room for him to expand his international collaborations and explore newer research frontiers, his track record of excellence makes him a strong candidate for the award. Publication Top Notes Exploring the application of ant colony optimization in path planning for Unmanned Surface Vehicles Year: 2024 Journal: Ocean Engineering Microwave assisted synthesis of nickel oxide nanoparticles at different pH via sol gel method: Experimental and first-principles investigations Year: 2024 Journal: Inorganic Chemistry Communications Fingerprint Sensor Integration in Smart Healthcare Emergency App: Enhancing Ambulance Navigation through Emergency Route Highlighting Year: 2024 Journal: 2024 20th IEEE International Colloquium on Signal Processing and Its Applications (CSPA) – Conference Proceedings A Novel Fault Detection Approach in UAV With Adaptation of Fuzzy Logic and Sensor Fusion Year: 2024 Journal: IEEE/ASME Transactions on Mechatronics Development of a Digital Twin Prototype for Industrial Manufacturing Monitoring System Using IoT and Augmented Reality Year: 2024 Journal: International Journal of Online and Biomedical Engineering Comparative analysis between data-driven and visual-based approach in drone propeller imbalance detection Year: 2024 Journal: Journal of Vibration and Control Analysis of Pure-pursuit Algorithm Parameters for Nonholonomic Mobile Robot Navigation in Unstructured and Confined Space Year: 2024 Journal: Pertanika Journal of Science and Technology Comprehensive Technical Review of Recent Bio-Inspired Population-Based Optimization (BPO) Algorithms for Mobile Robot Path Planning Year: 2024 Journal: IEEE Access A Comprehensive Review of Recent Advances in Automated Guided Vehicle Technologies: Dynamic Obstacle Avoidance in Complex Environment Toward Autonomous Capability Year: 2024 Journal: IEEE Transactions on Instrumentation and Measurement A Framework Study on a Real-Time Operated System for Emergency Medical Services (EMS) using NODEMCU Processor Year: 2024 Journal: Journal of Advanced Research in Applied Sciences and Engineering Technology
Wan Rahiman’s career spans both industry and academia. He gained valuable industry experience working for Panasonic Manufacturing in Cardiff (2003-2004) and Lotus Cars in Norwich (2004-2005), where he worked as an engineer. In academia, Wan Rahiman has been with Universiti Sains Malaysia (USM) since 2010, where he serves as the Head of the Smart Port and Logistic Technology Cluster. He also conducted research at the University of Manchester from 2015 to 2016. His work experience has provided him with a unique blend of practical engineering knowledge and cutting-edge academic research. Research Interest Wan Rahiman’s research interests lie at the intersection of control systems, autonomous drone technology, and digital health IoT systems. He specializes in pipeline leak detection and localization, autonomous navigation, wireless power charging for drones, and smart logistics. His research projects often focus on modeling nonlinear systems and developing innovative solutions for industries such as transportation, logistics, and healthcare. Research Skills Wan Rahiman is proficient in several critical research areas, including fault detection, autonomous navigation, and the development of smart systems. He has expertise in modeling nonlinear systems and applying these models to real-world challenges. His skills in leading interdisciplinary research teams, acquiring research funding, and publishing in top-tier journals are well established, contributing to his success in both academic and industrial research settings. Award and Recognition Throughout his career, Wan Rahiman has received various recognitions for his research contributions. He leads the Smart Port and Logistic Technology Cluster at USM, reflecting his role as a prominent figure in smart technology research. His international collaborations and leadership roles in major research initiatives further exemplify his accomplishments and standing in the academic and scientific communities. Conclusion Wan Rahiman is highly suitable for the Best Researcher Award due to his strong academic qualifications, extensive research output, and leadership in the field of control systems, autonomous navigation, and smart logistics. His expertise in pipeline leak detection and drone technologies is highly relevant and impactful in today’s technological landscape. Although there is room for him to expand his international collaborations and explore newer research frontiers, his track record of excellence makes him a strong candidate for the award. Publication Top Notes Exploring the application of ant colony optimization in path planning for Unmanned Surface Vehicles Year: 2024 Journal: Ocean Engineering Microwave assisted synthesis of nickel oxide nanoparticles at different pH via sol gel method: Experimental and first-principles investigations Year: 2024 Journal: Inorganic Chemistry Communications Fingerprint Sensor Integration in Smart Healthcare Emergency App: Enhancing Ambulance Navigation through Emergency Route Highlighting Year: 2024 Journal: 2024 20th IEEE International Colloquium on Signal Processing and Its Applications (CSPA) – Conference Proceedings A Novel Fault Detection Approach in UAV With Adaptation of Fuzzy Logic and Sensor Fusion Year: 2024 Journal: IEEE/ASME Transactions on Mechatronics Development of a Digital Twin Prototype for Industrial Manufacturing Monitoring System Using IoT and Augmented Reality Year: 2024 Journal: International Journal of Online and Biomedical Engineering Comparative analysis between data-driven and visual-based approach in drone propeller imbalance detection Year: 2024 Journal: Journal of Vibration and Control Analysis of Pure-pursuit Algorithm Parameters for Nonholonomic Mobile Robot Navigation in Unstructured and Confined Space Year: 2024 Journal: Pertanika Journal of Science and Technology Comprehensive Technical Review of Recent Bio-Inspired Population-Based Optimization (BPO) Algorithms for Mobile Robot Path Planning Year: 2024 Journal: IEEE Access A Comprehensive Review of Recent Advances in Automated Guided Vehicle Technologies: Dynamic Obstacle Avoidance in Complex Environment Toward Autonomous Capability Year: 2024 Journal: IEEE Transactions on Instrumentation and Measurement A Framework Study on a Real-Time Operated System for Emergency Medical Services (EMS) using NODEMCU Processor Year: 2024 Journal: Journal of Advanced Research in Applied Sciences and Engineering Technology