Zhongqiang ZHANG | Engineering and Technology | Best Researcher Award

Zhongqiang ZHANG | Engineering and Technology | Best Researcher Award

Mr Zhongqiang ZHANG, Jiangsu University, China

Prof. Zhongqiang Zhang is a leading academic in mechanical engineering, currently serving as Professor and Associate Dean at Jiangsu University, China. With a career rooted in advanced fluid dynamics, nanoengineering, and smart materials, he has consistently contributed groundbreaking research recognized both nationally and internationally πŸŒπŸ”¬. His global exposure includes visiting scholar roles at prestigious institutions like UC Berkeley and Mississippi State University, enhancing his research vision and collaborations. He is renowned for his pioneering work in nanofluidics, surface wettability, graphene membranes, and bioinspired designs 🌑️πŸ§ͺ. Prof. Zhang’s projects, funded by the National Natural Science Foundation of China, span from intelligent liquid manipulation to smart environmental robots. A prolific author, he has numerous Q1 publications in high-impact journals πŸ“šπŸŒŸ. With prestigious awards such as the ICCES Outstanding Young Researcher Award, his achievements reflect both innovation and leadership, making him a strong candidate for the Best Researcher Award πŸ†πŸ’‘.

Publication Profile

Google Scholar

Education

Mr. Zhongqiang Zhang πŸŽ“ is a dedicated scholar in the field of engineering mechanics with a strong academic foundation in mechanical engineering. He began his academic journey at the School of Mechanical Engineering, Shandong University of Technology 🏫 in Zibo, PR China, where he earned his Bachelor of Science degree between September 2000 and June 2004. Demonstrating a passion for research and innovation, he continued his education by pursuing a Ph.D. at the Department of Engineering Mechanics, Dalian University of Technology (DUT) πŸ§ πŸ”§ in Dalian, PR China. From September 2004 to December 2010, under the supervision of Professor Hong-Wu Zhang πŸ‘¨β€πŸ«, he developed advanced knowledge and skills in engineering mechanics. His academic path reflects a strong commitment to excellence in mechanical sciences and a drive for contributing to technological advancement. Mr. Zhang’s educational background laid a solid foundation for his future research and professional achievements in engineering. πŸš€πŸ“˜

ExperienceΒ 

Mr. Zhongqiang Zhang is a distinguished professor and Associate Dean at the School of Mechanical Engineering, Jiangsu University, PR China (πŸ‡¨πŸ‡³), serving since July 2020. With a solid academic foundation and deep expertise, he previously held the position of Associate Professor at the same institution from December 2010 to June 2020. His international academic engagements include a prestigious stint as a Visiting Scholar at the Department of Civil & Environmental Engineering, University of California-Berkeley (πŸ‡ΊπŸ‡Έ), from October 2018 to January 2020, under the supervision of Shao-Fan Li πŸŒ‰. Earlier in his career, he expanded his research exposure as a Visiting Ph.D. student at the Center for Advanced Vehicular Systems (CAVS), Mississippi State University (πŸ‡ΊπŸ‡Έ), from May 2008 to January 2009 πŸš—πŸ”¬. Mr. Zhang’s academic journey reflects a strong commitment to innovation, global collaboration, and mechanical engineering excellence πŸŒπŸ“˜πŸ”§.

Honors and Awards

Mr. Zhongqiang Zhang has earned numerous accolades throughout his distinguished academic and research career. In 2023, he received the prestigious ICCES Outstanding Young Researcher Award πŸ…, recognizing his significant contributions to the field. He was also honored with the First Prize of Science and Technology of Jiangsu Province in 2020 πŸ§ͺπŸ†. His dedication to education was acknowledged in 2016 when he was named an Outstanding Young Backbone Teacher under the Jiangsu Blue and Blue Project πŸ“˜πŸ‘¨β€πŸ«. In 2015, he secured the Third Prize in the Jiangsu Provincial Science and Technology Award πŸ₯‰πŸ”¬. As a rising scholar, he was recognized as a Young Academic Leader of Jiangsu University in 2013 πŸŽ“πŸŒŸ. His scholarly excellence was evident early on, with his doctoral dissertation being awarded Outstanding Doctoral Dissertation by both Liaoning Province and Dalian University of Technology in 2012 πŸ“œπŸŽ–οΈ. In 2009, he won the 6th China Youth Science and Technology Innovation Award, showcasing his early potential and innovation.

Research Projects

Mr. Zhongqiang Zhang has led and contributed to multiple cutting-edge research projects funded by the National Natural Science Foundation of China πŸ‡¨πŸ‡³. As Project Leader, he spearheaded a 2023–2026 project focused on the continuous capturing and cross-scale collection of fuel bubbles driven by structure-wetting coupling gradients (RMB 550,000) πŸ”¬πŸ’§. From 2019–2022, he explored self-driven droplet behaviors on graphene-covered gradient textured substrates (RMB 630,000) πŸŒ‘οΈβš›οΈ. Earlier, he investigated electro-mechanical coupling in fluid nano-devices based on low-dimensional carbon materials (2015–2018, RMB 800,000) πŸ”‹πŸ“‰. His 2012–2014 study examined boundary slip in nanochannels influenced by temperature-velocity coupling gradients (RMB 260,000) πŸ§ͺ🌑️. Additionally, he plays a key role (R2) in a major project (2023–2025) developing an energy self-supply, rigid-flexible coupling robot for intelligent water environment sensing, funded at RMB 3,000,000 πŸ€–πŸŒŠ. His research reflects deep expertise in nanofluidics, material science, and robotics, addressing vital scientific and environmental challenges.

Research Focus

Dr. Zhongqiang Zhang’s research focuses on nanofluidics, smart materials, and advanced surface engineering, with a strong emphasis on liquid transport, separation, and water harvesting technologies. His work leverages graphene membranes, conical micro-arrays, and textured surfaces to achieve breakthroughs in desalination, fluid dynamics, and droplet manipulation 🌊πŸ§ͺ. He explores slip boundary conditions, programmable surfaces, and self-driving liquid motion, often through molecular dynamics simulations and experimental validations βš™οΈπŸ’‘. His publications in top-tier journals like Science Advances, Chemical Engineering Journal, and ACS Applied Materials & Interfaces highlight innovations that overcome classic trade-offs like permeability-selectivity limits πŸšΏπŸ”¬. Dr. Zhang also contributes to the development of smart haptic electronic skins and temperature-responsive materials for microfluidics and environmental applications πŸ€–πŸŒ‘οΈ. Overall, his interdisciplinary approach connects physics, materials science, and engineering to pioneer next-gen nanotechnologies for efficient water management and soft robotics πŸ’§.

Publication Top Notes

Effect of argon plasma treatment on the output performance of triboelectric nanogenerator

Water diffusion inside carbon nanotubes: mutual effects of surface and confinement

Prediction of the viscosity of water confined in carbon nanotubes

Molecular dynamics-based prediction of boundary slip of fluids in nanochannels

Size and temperature effects on the viscosity of water inside carbon nanotubes

Simulation study of aggregations of monolayer-protected gold nanoparticles in solvents

Surface slip on rotating graphene membrane enables the temporal selectivity that breaks the permeability-selectivity trade-off

Nanoconfinement induced anomalous water diffusion inside carbon nanotubes

Origami triboelectric nanogenerator with double-helical structure for environmental energy harvesting

Unidirectional self-driving liquid droplet transport on a monolayer graphene-covered textured substrate

Fabrizio Stefani | Engineering and Technology | Best Researcher Award

Fabrizio Stefani | Engineering and Technology | Best Researcher Award

Dr Fabrizio Stefani, University Of Genoa, Italy

Based on Dr. Fabrizio Stefani’s qualifications, he would indeed be a strong candidate for a Best Researcher Award. Here’s an evaluation of his accomplishments and how they align with such an award:

Publication Profile

Orcid

Research and Professional Experience

Dr. Stefani has over 16 years of experience as a full researcher at the University of Genoa. His focus areas include Machine Design, Structural Mechanics, Finite Element Analysis (FEA), and Tribology. His technical skills in finite element software development (FEMLub 123) for industrial applications demonstrate an ability to bridge theoretical research with real-world solutions, particularly in partnership with leading Italian companies like Ansaldo Energia and Fincantieri.

Scientific Contributions

Dr. Stefani has made substantial contributions to the field of mechanical engineering, as evidenced by his numerous publications, including those on torsional-lateral vibrations and stress analysis in large-deformation finite element methods. His work is published in reputable journals, such as Tribology International, Proceedings of the Institution of Mechanical Engineers, and Energies.

Teaching and Leadership

In addition to his research, Dr. Stefani has a long teaching history, covering a wide array of subjects such as Ship Drawing, Industrial Drawing, and Mechanical Design at both bachelor’s and master’s levels. His leadership extends to the coordination of research projects, highlighting his organizational competence and ability to mentor future engineers.

Peer Review and Recognition

His role as a reviewer for several prestigious journals like Tribology International and Scientific Reports underscores his recognition as a subject-matter expert. This also reflects his contributions to advancing research quality globally.

Technical Expertise

Beyond his academic work, Dr. Stefani has advanced programming skills across multiple platforms and languages, along with expertise in CAD tools like Creo and AutoCAD. His interdisciplinary knowledge, coupled with his innovative contributions, makes him highly deserving of a Best Researcher Award.

In conclusion, Dr. Stefani’s extensive research, practical applications, teaching, and leadership skills make him an exemplary candidate for the Best Researcher Award.

Publication top notes

Experimental and Numerical Analysis of Torsionalβ€”Lateral Vibrations in Drive Lines Supported by Hydrodynamic Journal Bearings

ABDULFATTAH AHMED QASEM ALWAH | Engineering and Technology | Best Researcher Award

ABDULFATTAH AHMED QASEM ALWAH | Engineering and Technology | Best Researcher Award

Assist Prof Dr ABDULFATTAH AHMED QASEM ALWAH, Ibb University, Yemen

Based on Mr. Tailong Lv’s educational background, research experience, and publication, here’s an assessment of whether he is a suitable candidate for the Best Researcher Award.

Publication profile

google scholar

Education

Mr. Tailong Lv holds a Bachelor’s degree in Automation from Henan University of Urban Construction and is currently pursuing a Master’s degree in Mechanical Engineering at Xi’an University of Posts & Telecommunications. His academic foundation is strong, particularly in technical fields relevant to his research focus.

Research Project

Mr. Lv’s main research project, “Deep Learning Based Human Activity Recognition,” showcases his proficiency in applying deep learning techniques to real-world problems. His work focuses on optimizing neural networks for better recognition of complex human activities. This is a cutting-edge area in artificial intelligence and has significant potential for applications in areas such as surveillance, healthcare, and human-computer interaction. His contribution to this field is commendable, given the complexity and real-world relevance of the project.

Awards & Recognition

Mr. Lv has received consecutive scholarships from Xi’an University of Posts and Telecommunications in 2022 and 2023, demonstrating academic excellence and a consistent track record of high achievement.

Research focus

The research focus of this person primarily revolves around urban planning, environmental sustainability, and public space management. Their work involves evaluating the disparity between supply and demand for green spaces 🌳, analyzing visual pollution in historical cities πŸ™οΈ, and predicting urban waterlogging risks 🌧️. Additionally, they contribute to developing tools to measure public space efficiency and studying the relationship between built environments and social sustainability 🏞️. Their research emphasizes creating better urban environments by addressing ecological concerns, enhancing public spaces, and promoting social well-being through thoughtful urban design.

Publication

His recent publication, “Multihead-Res-SE Residual Network with Attention for Human Activity Recognition” in the journal Electronics, reflects his engagement in research at an advanced level. Co-authoring this paper with established researchers like Hongbo Kang and Chunjie Yang, and contributing to a field as impactful as human activity recognition, highlights his research capabilities.

Conclusion

Mr. Tailong Lv’s solid educational background, innovative research in deep learning, continuous academic excellence, and publication record make him a strong candidate for the Best Researcher Award. His work contributes significantly to the field of AI and human activity recognition, aligning with the qualities expected of an award-winning researcher.

Publication top notes

Evaluating the disparity between supply and demand of park green space using a multi-dimensional spatial equity evaluation framework

Predicting urban waterlogging risks by regression models and internet open-data sources

Developing a quantitative tool to measure the extent to which public spaces meet user needs

Difficulty and complexity in dealing with visual pollution in historical cities: The historical city of Ibb, Yemen as a case study

Relationship between physical elements and density of use of public spaces in Sana’a City

Research of urban suitable ecological land based on the minimum cumulative resistance model: A Case Study from Hanoi, Vietnam

Analysis of visual pollution of the urban environment in the old city of Ibb

Characteristics of visiting urban open spaces in Sana’a city in Yemen

Relationship between the perceived characteristics of the built environment and social sustainability: Sana’a City, Yemen use case..

Predicting urban waterlogging risks by regression models and internet open-data sources. Water 12 (3): 879

 

 

 

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

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 πŸ‡ΉπŸ‡Ό 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 πŸŽ“. After a decade in industrial technical roles, he joined National Formosa University as an Assistant Professor in early 2023 πŸ‘¨β€πŸ«. His research interests include motor drive control, embedded systems, control theory applications, mechatronics, and robotics πŸ€–βš™οΈ.

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