Abdul Rehman | Engineering and Technology | Best Researcher Award

Abdul Rehman | Engineering and Technology | Best Researcher Award

Dr Abdul Rehman ,University of L’Aquila, Italy

Abdul Rehman is a dedicated researcher with a Ph.D. in Information and Communication Technologies from the University of Lโ€™Aquila, specializing in network architecture, industrial IoT, and simulation environments ๐ŸŽ“๐ŸŒ. He has extensive experience in designing scalable communication systems and developing integrated simulators for complex networks, focusing on SDN and RIS technologies ๐Ÿ–ง๐Ÿ’ป. Abdul has published numerous papers in top-tier journals and conferences, contributing to advancements in wireless and high-frequency communications ๐Ÿ“š๐Ÿ“ก. He has also taught at the Venture College of Engineering in Islamabad, Pakistan, and has a Master’s in Electronics and Communication Engineering from Shanghai ๐ŸŒ๐Ÿ“˜.

Publication profile

google scholar

Education

Dr. Abdul Rehman is a dedicated researcher specializing in ICT with a Ph.D. from the University of Lโ€™Aquila, Italy (2021-2024). His thesis focuses on performance analysis of multiple access protocols for sidelink vehicular communications, encompassing 5/6G, URLLC, and wireless communication ๐Ÿ“ก๐Ÿš—. He holds a Masterโ€™s in Electronics and Communication Engineering from Shanghai Jiao Tong University, China (2017-2019), where he researched GNSS integration for pedestrian smartphone navigation ๐Ÿ“ฑ๐Ÿ›ฐ๏ธ. His Bachelorโ€™s in Electrical (Telecommunication) Engineering from Government College University Faisalabad, Pakistan (2013-2017) involved deforestation analysis using remote sensing ๐ŸŒฒ๐Ÿ›ฐ๏ธ. His expertise includes sensor fusion, signal processing, and satellite communications.

Experience

From July 2021 to October 2024, He worked as a researcher at EX-EMERGE in Lโ€™Aquila, Italy, focusing on Energy Efficient Networks, URLLC in IoT, and Sidelink Vehicular Communications. He developed scalable and secure architectures for wireless systems, researched adaptive modulation and coding techniques, and designed integrable systems for efficient communication in varying conditions. He findings were published in top-tier journals and conferences. From July 2019 to December 2020, He lectured at Venture College of Engineering in Islamabad, Pakistan, teaching courses like Wireless Communication and supervising undergraduate research projects ๐Ÿ“ก๐Ÿ“š๐Ÿ”ฌ.

Honors and Awards

In 2019, the Certificate of Honor was awarded at the China Satellite Navigation Conference ๐ŸŒŸ. Recognition for serving as Chairperson at IEEE-SAC was received in 2015 ๐Ÿ…. The same year saw the completion of the Continuing Professional Development Program (CPD-PEC) ๐Ÿ“œ. Significant contributions to the IEEE Young Professionals and Skill Development Program were acknowledged in 2014 ๐ŸŽ“. Participation in the IEEE Tech-fair also occurred in 2014 ๐Ÿš€. Furthermore, a Certificate of Distinction was awarded for achieving 3rd position in BISE in 2014 ๐ŸŽ–๏ธ.

Research focus

A Rehman’s research focuses on advanced techniques in image processing, GNSS/PDR integration, and communication systems. Notable works include developing Mask RCNN-FPN for breast lesion detection ๐Ÿฉบ, utilizing extended Kalman filters for precise pedestrian smartphone navigation ๐Ÿ“ฑ, and analyzing deforestation in northern Pakistan using supervised classification ๐ŸŒฒ. His contributions to GNSS and PDR fusion algorithms improve pedestrian navigation accuracy ๐Ÿงญ. Additionally, his research on multiple access interference in LTE-V2X and NR-V2X sidelink communications enhances vehicular communication networks ๐Ÿš—. These diverse studies highlight A Rehman’s expertise in biomedical imaging, navigation technology, and communication systems ๐Ÿ“ก.

Publication top notes

Multi-detection and segmentation of breast lesions based on mask rcnn-fpn

Accurate and direct GNSS/PDR integration using extended Kalman filter for pedestrian smartphone navigation

Deforestation analysis of northern areas (Pakistan) using image processing and maximum likelihood supervised classification

PDR/GNSS fusion algorithm based on joint heading estimation

On the Impact of Multiple Access Interference in LTE-V2X and NR-V2X Sidelink Communications

Analytical modeling of multiple access interference in C-V2X sidelink communications

Ming-Yen Wei | Engineering and Technology | Best Researcher Award

Ming-Yen Wei | Engineering and Technology | Best Researcher Award

Assist Prof Dr Ming-Yen, Wei National Formosa University, Department of Electrical Engineering, Taiwan

Assist. Prof. Dr. Ming-Yen was born in Taichung City, Taiwan ๐Ÿ‡น๐Ÿ‡ผ on April 20, 1983. He earned his Bachelor’s and Master’s degrees in Electrical Engineering from National Formosa University in 2005 and 2007, and his Ph.D. from National Taiwan University of Science and Technology in 2012 ๐ŸŽ“. After a decade in industrial technical roles, he joined National Formosa University as an Assistant Professor in early 2023 ๐Ÿ‘จโ€๐Ÿซ. His research interests include motor drive control, embedded systems, control theory applications, mechatronics, and robotics ๐Ÿค–โš™๏ธ.

Publication profile

Scopus

Research focus

Dr. Ming-Yen Wei’s research primarily focuses on the design, control, and implementation of advanced motion control systems and platforms. His work encompasses the development of servo control systems, multi-axis motion chairs, and flight simulators, utilizing CAN bus and microcontroller technologies. Additionally, he has contributed to the creation of motion-cueing algorithms and inverse kinematics for six degrees of freedom (6DoF) platforms. His research has significant applications in robotics, aerospace, and virtual reality simulations, showcasing innovations in precision motion control and system integration.

Publication top notes

Design and Control of a Three-Axis Motion Servo Control System Based on a CAN Bus

Design and Implementation of a New Training Flight Simulator System

Design and Control of a Multi-Axis Servo Motion Chair System Based on a Microcontroller

Design of a DSP-Based Motion-Cueing Algorithm Using the Kinematic Solution for the 6-DoF Motion Platform

Design and implementation of inverse kinematics and motion monitoring system for 6dof platform

Optimal Control-based Motion Cueing Algorithm Design for 6DOF Motion Platform

Design and Implementation of the Inverse Kinematics and Monitoring Module for Six-axis Crank Arm Platform

Design, Analysis, and Implementation of a Four-DoF Chair Motion Mechanism