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 L’Aquila, specializing in network architecture, industrial IoT, and simulation environments πŸŽ“πŸŒ. He has extensive experience in designing scalable communication systems and developing integrated simulators for complex networks, focusing on SDN and RIS technologies πŸ–§πŸ’». Abdul has published numerous papers in top-tier journals and conferences, contributing to advancements in wireless and high-frequency communications πŸ“šπŸ“‘. 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 πŸŒπŸ“˜.

Publication profile

google scholar

Education

Dr. Abdul Rehman is a dedicated researcher specializing in ICT with a Ph.D. from the University of L’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 πŸ“‘πŸš—. He holds a Master’s in Electronics and Communication Engineering from Shanghai Jiao Tong University, China (2017-2019), where he researched GNSS integration for pedestrian smartphone navigation πŸ“±πŸ›°οΈ. His Bachelor’s in Electrical (Telecommunication) Engineering from Government College University Faisalabad, Pakistan (2013-2017) involved deforestation analysis using remote sensing πŸŒ²πŸ›°οΈ. 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 L’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 πŸ“‘πŸ“šπŸ”¬.

Honors and Awards

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

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 🩺, utilizing extended Kalman filters for precise pedestrian smartphone navigation πŸ“±, and analyzing deforestation in northern Pakistan using supervised classification 🌲. His contributions to GNSS and PDR fusion algorithms improve pedestrian navigation accuracy 🧭. Additionally, his research on multiple access interference in LTE-V2X and NR-V2X sidelink communications enhances vehicular communication networks πŸš—. These diverse studies highlight A Rehman’s expertise in biomedical imaging, navigation technology, and communication systems πŸ“‘.

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

Wanting Zhu | Engineering and Technology | Best Researcher Award

Wanting Zhu | Engineering and Technology | Best Researcher Award

Ms Wanting Zhu, School of Electronic Information, Central South University, China

Wanting Zhu is pursuing an M.S. in Electronic Science and Technology at Central South University, China, where she earned her B.S. degree in 2022. She has authored four papers, cited over 30 times. Her research focuses on chaos theory and nonlinear dynamics, exploring complex behaviors in dynamic systems, such as multi-cavity maps and neuron behavior. Zhu’s work involves modeling nonlinear chaotic maps, dynamic analyses, and both digital and analog circuit design, aiming to advance understanding in chaotic systems and their applications across various scientific fields. πŸ“šπŸ”¬πŸŒβœ¨

Publication profile

Orcid

Education

Wanting Zhu received her B.S. degree in Electronic Information Science and Technology from Central South University, China, in 2022. She is pursuing her M.S. degree at the same institution, focusing on chaos theory and nonlinear dynamics. She has authored 4 papers, cited over 30 times. Her research involves modeling nonlinear chaotic maps, dynamic analyses, digital and analog circuit design, advancing understanding in chaotic systems. Kehui Sun, a Professor at Central South University since 2006, received his B.S., M.S., and Ph.D. degrees from the same university. Recognized as a Highly Cited Researcher by Elsevier (2020-2023), he has published over 180 papers, holds 6 patents, and received the Hunan Province Third Prize in Natural Science. πŸ“šπŸ”βœ¨πŸ”¬

Research focus

Wanting Zhu’s research focuses on the dynamics, synchronization, and applications of chaotic systems, particularly in discrete neuron-like maps and hyperchaotic maps. This involves studying the behavior of these systems under various conditions and exploring their potential applications in fields like analog circuit implementation and rotational control operations. Zhu’s work spans the development of multi-dimensional hyperchaotic maps and their practical uses, contributing significantly to the understanding and manipulation of complex dynamic systems. This research aids in advancements in chaos theory and its practical implementations. πŸ§ πŸ”„πŸ”¬πŸ“ŠπŸ”§

Publication top notes

Dynamics, synchronization and analog circuit implementation of a discrete neuron-like map with pulsating spiral dynamics

Dynamics of multicavity hyperchaotic maps with rotational control operation and its applications

A class of m-dimension grid multi-cavity hyperchaotic maps and its application