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 ๐ŸŒ๐Ÿ”ฌ. 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 ๐ŸŒก๏ธ๐Ÿงช. Prof. Zhangโ€™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 ๐Ÿ“š๐ŸŒŸ. 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 ๐Ÿ†๐Ÿ’ก.

Publication Profile

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Education

Mr. Zhongqiang Zhang ๐ŸŽ“ 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 ๐Ÿซ 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) ๐Ÿง ๐Ÿ”ง in Dalian, PR China. From September 2004 to December 2010, under the supervision of Professor Hong-Wu Zhang ๐Ÿ‘จโ€๐Ÿซ, 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. ๐Ÿš€๐Ÿ“˜

Experienceย 

Mr. Zhongqiang Zhang is a distinguished professor and Associate Dean at the School of Mechanical Engineering, Jiangsu University, PR China (๐Ÿ‡จ๐Ÿ‡ณ), 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 (๐Ÿ‡บ๐Ÿ‡ธ), from October 2018 to January 2020, under the supervision of Shao-Fan Li ๐ŸŒ‰. 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 (๐Ÿ‡บ๐Ÿ‡ธ), from May 2008 to January 2009 ๐Ÿš—๐Ÿ”ฌ. Mr. Zhangโ€™s academic journey reflects a strong commitment to innovation, global collaboration, and mechanical engineering excellence ๐ŸŒ๐Ÿ“˜๐Ÿ”ง.

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 ๐Ÿ…, recognizing his significant contributions to the field. He was also honored with the First Prize of Science and Technology of Jiangsu Province in 2020 ๐Ÿงช๐Ÿ†. His dedication to education was acknowledged in 2016 when he was named an Outstanding Young Backbone Teacher under the Jiangsu Blue and Blue Project ๐Ÿ“˜๐Ÿ‘จโ€๐Ÿซ. In 2015, he secured the Third Prize in the Jiangsu Provincial Science and Technology Award ๐Ÿฅ‰๐Ÿ”ฌ. As a rising scholar, he was recognized as a Young Academic Leader of Jiangsu University in 2013 ๐ŸŽ“๐ŸŒŸ. 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 ๐Ÿ“œ๐ŸŽ–๏ธ. 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 ๐Ÿ‡จ๐Ÿ‡ณ. As Project Leader, he spearheaded a 2023โ€“2026 project focused on the continuous capturing and cross-scale collection of fuel bubbles driven by structure-wetting coupling gradients (RMB 550,000) ๐Ÿ”ฌ๐Ÿ’ง. From 2019โ€“2022, he explored self-driven droplet behaviors on graphene-covered gradient textured substrates (RMB 630,000) ๐ŸŒก๏ธโš›๏ธ. Earlier, he investigated electro-mechanical coupling in fluid nano-devices based on low-dimensional carbon materials (2015โ€“2018, RMB 800,000) ๐Ÿ”‹๐Ÿ“‰. His 2012โ€“2014 study examined boundary slip in nanochannels influenced by temperature-velocity coupling gradients (RMB 260,000) ๐Ÿงช๐ŸŒก๏ธ. Additionally, he plays a key role (R2) in a major project (2023โ€“2025) developing an energy self-supply, rigid-flexible coupling robot for intelligent water environment sensing, funded at RMB 3,000,000 ๐Ÿค–๐ŸŒŠ. His research reflects deep expertise in nanofluidics, material science, and robotics, addressing vital scientific and environmental challenges.

Research Focus

Dr. Zhongqiang Zhangโ€™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 ๐ŸŒŠ๐Ÿงช. He explores slip boundary conditions, programmable surfaces, and self-driving liquid motion, often through molecular dynamics simulations and experimental validations โš™๏ธ๐Ÿ’ก. 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 ๐Ÿšฟ๐Ÿ”ฌ. Dr. Zhang also contributes to the development of smart haptic electronic skins and temperature-responsive materials for microfluidics and environmental applications ๐Ÿค–๐ŸŒก๏ธ. Overall, his interdisciplinary approach connects physics, materials science, and engineering to pioneer next-gen nanotechnologies for efficient water management and soft robotics ๐Ÿ’ง.

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

Mona AbouEleaz | Engineering and Technology | Best Researcher Award

Mona AbouEleaz | Engineering and Technology | Best Researcher Award

Assoc. Prof. Dr Mona AbouEleaz, Mansoura University, Egypt

Assoc. Prof. Dr. Mona AbouEleaz ๐ŸŒโš™๏ธ is a distinguished academic in Production Engineering at Mansoura University, Egypt. With a Ph.D. in Production Engineering ๐ŸŽ“, her expertise spans Smart Manufacturing, Industry 4.0, Lean Six Sigma, and Quality Improvement approaches ๐Ÿ“Š. She has held roles as a postdoctoral researcher in Canada ๐Ÿ‡จ๐Ÿ‡ฆ and visiting lecturer in the UK ๐Ÿ‡ฌ๐Ÿ‡ง. As the Executive Director of the University Center for Career Development, she fosters student growth ๐Ÿš€. Dr. AbouEleaz has published extensively ๐Ÿ“š, supervised over 35 projects ๐Ÿ› ๏ธ, and actively contributes to academic accreditation and international collaborations ๐ŸŒ. She enjoys reading, drawing, sports, and traveling โœˆ๏ธ๐ŸŽจ.

Publication Profile

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Education

Assoc. Prof. Dr. Mona AbouEleaz holds a Ph.D. in Production Engineering from Mansoura University, Egypt (2010โ€“2015), with a thesis titled โ€œLean Six Sigma Practices into an Organizational Quality Management Systemโ€ ๐ŸŽฏ๐Ÿ“Š. She earned her M.Sc. in Industrial Engineering from Alexandria University (2005โ€“2008), focusing on โ€œHierarchic Framework for Quality Improvement Approachesโ€ โš™๏ธ๐Ÿ“ˆ. Dr. AbouEleaz also holds a B.Sc. in Production Engineering & Mechanical Design from Mansoura University, graduating with honors and ranking first in her class ๐Ÿ…๐ŸŽ“. Her academic journey reflects a strong commitment to quality improvement, engineering excellence, and continuous innovation ๐Ÿ”๐Ÿ’ก.

Experience

Assoc. Prof. Dr. Mona AbouEleaz is a distinguished academic with extensive experience in mechanical design and production engineering. Sheโ€™s a lecturer at Mansoura University, Egypt ๐Ÿ‡ช๐Ÿ‡ฌ, and has served as a visiting lecturer at the University of Central Lancashire, UK ๐Ÿ‡ฌ๐Ÿ‡ง, and a postdoctoral researcher at the University of Calgary, Canada ๐Ÿ‡จ๐Ÿ‡ฆ. Dr. AbouEleaz excels in leadership roles, serving as Executive Director of the University Career Center and coordinating ERASMUS programs ๐ŸŒ. Her contributions to strategic planning, quality assurance โœ…, and international collaboration ๐Ÿค have significantly advanced Mansoura Universityโ€™s academic landscape.

Research Focus

Assoc. Prof. Dr. Mona AbouEleaz’s research focuses on advanced manufacturing processes, particularly in Wire Electrical Discharge Machining (WEDM) and material performance analysis. Her work explores surface roughness, material removal rates, and optimization of machining parameters for alloys like AISI304 and AISI316. She also delves into roundness measurement techniques, finite element analysis, and the impact of ERP systems on production efficiency. Additionally, her studies address supply chain performance and process improvement strategies in manufacturing. โš™๏ธ๐Ÿ”ฉ๐Ÿ“Šโœจ๐Ÿ”

Research Interest

Assoc. Prof. Dr. Mona AbouEleazโ€™s research focuses on Smart Manufacturing and Industry 4.0 ๐Ÿš€๐Ÿญ. She specializes in enhancing the performance of production and service systems through Quality Improvement approaches, including Lean Six Sigma ๐Ÿ“Š, optimization methods โš™๏ธ, and Response Surface Methodology. Her expertise extends to Uncertainty Analysis, MCDM (Multi-Criteria Decision Making), and Decision Making Under Uncertainty ๐Ÿค”. Dr. Mona also works on Measurement Uncertainty, Mechanical Testing ๐Ÿงช, and utilizes tools like Minitab and ANSYS for statistical and engineering analysis. Her research aims to boost efficiency, precision, and decision-making in advanced manufacturing environments ๐ŸŒŸ.

Publication Top Notes

Experimental investigation of surface roughness and material removal rate in wire EDM of stainless steel 304

Methods of roundness measurement: An experimental Comparative study

Wire Electrical Discharge Machining of AISI304 and AISI316 Alloys: A Comparative Assessment of Machining Responses, Empirical Modeling and Multi-Objective Optimization

The Impact of Enterprise Resource Planning (ERP) Implementation on Performance of Firms: A Case to Support Production Process Improvement.

A critical review of supply chain performance evaluation

A study of drilling parameter optimization of functionally graded material steelโ€“aluminum alloy using 3D finite element analysis

Automated Classification of Marble Types Using Texture Features and Neural Networks: A Robust Approach for Enhanced Accuracy and Reproducibility

Types Using Texture Features and Neural Networks: A Robust Approach

Investigating the Impact of Cutting Parameters on Roundness and Circular Runout Using Signal-to-noise Ratio Analysis