Shengnan Zhang | Engineering | Best Researcher Award

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Dr. Shengnan Zhang | Engineering | Best Researcher Award

None  at School of Mechatronic Engineering and Automation, Shanghai University

Short Bio

  • shengnan zhang is a Ph.D. researcher at Shanghai University specializing in electromagnetic flowmeters, signal processing, and mathematical modeling for industrial processes. With experience in engineering and automation, she integrates theoretical and applied research to enhance industrial measurement accuracy and efficiency.

Professional Profile

Educational Background

  • shengnan zhang is currently pursuing a Ph.D. in the School of Mechatronic Engineering and Automation at Shanghai University (2021–2024). She earned her master’s degree in Control Science and Engineering (Automation) from Inner Mongolia University of Science and Technology in 2020.

Professional Experience

  • shengnan zhang has gained diverse experience in both industry and academia. She worked as a junior engineer in the Mechanical and Electrical Department at State Grid Xinyuan Chifeng Company, Inner Mongolia (2020–2021). She later transitioned into roles as a Hardware R&D Engineer at JiDan Biotechnology Co., Ltd. and a High School Mathematics Teacher at Nanjing Yunjushi Education Co., Ltd. in 2021.

Research Interests

    • Her research focuses on electromagnetic flowmeters, signal processing, and mathematical modeling of complex industrial processes. She is particularly interested in developing advanced computational techniques for industrial automation and measurement systems.

Author Metrics

  • Currently, shengnan zhang is actively engaged in research and has contributed to scholarly publications in her field. Her work includes studies on signal processing applications in industrial automation and measurement technologies.

Publication Top Noted

  • Study on the Match-Filtering Ability of the Electromagnetic Flowmeter Signals Based on the Generalized Dual-Frequency Walsh Transform
    Flow Measurement and Instrumentation, March 2025
    DOI: 10.1016/j.flowmeasinst.2024.102767
  • Generalized Walsh Transform Sequency-Domain-Based Match Filtering for Electromagnetic Flowmeter Signal Measurement
    IEEE Sensors Journal, April 2024
    DOI: 10.1109/JSEN.2024.3366238
  • A Sequency Match Filtering Algorithm Based on the Generalized Walsh Transform for Processing Rectangular Wave Signals
    Review of Scientific Instruments, February 2024
    DOI: 10.1063/5.0175079
  • Study on Match Filtering Based on Sequency Spectrum Characteristics of the Walsh Transform for Electromagnetic Flowmeter Signal Measurement
    Measurement, February 2024
    DOI: 10.1016/j.measurement.2023.114021

Conclusion

  • Dr. shengnan zhang is a highly qualified researcher with notable contributions to signal processing and industrial measurement systems. Her innovative approaches using Generalized Walsh Transform have the potential to improve electromagnetic flowmeter accuracy significantly. With further collaboration, higher citation impact, and real-world application of her research, she would be an excellent candidate for the Best Researcher Award.

Zhan-Long Wang | Engineering | Best Scholar Award

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Dr. Zhan-Long Wang | Engineering | Best Scholar Award

Dr. Zhan-Long Wang, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, China

Dr. Zhan-Long Wang is an Assistant Professor at the Shenzhen Institutes of Advanced Technology, CAS, with expertise in solid mechanics, micro-structured surfaces, and material science. His research addresses complex challenges in fluid dynamics, biosensor development, and AI-assisted material discovery. Recognized as a Shenzhen Pengcheng Distinguished Scholar, Dr. Wang holds numerous patents and leads groundbreaking projects in micro-droplet technology and condensation inhibition.

PROFILE

Orcid Profile

Scopus Profile

Educational Details

Dr. Zhan-Long Wang obtained his Bachelor’s degree in Civil Engineering from Jiangnan University in 2014, where he was mentored by Prof. Yuanzhi Bi. He then pursued an M.Sc. and Ph.D. in Solid Mechanics at the Institute of Mechanics, Chinese Academy of Sciences, under the guidance of Prof. Ya-Pu Zhao, completing his doctoral studies in 2021.

Professional Experience

Dr. Wang’s career includes a Postdoctoral Fellowship at the Shenzhen Institutes of Advanced Technology, CAS (2021-2023), where he later became an Assistant Professor in 2023. His academic journey reflects a strong commitment to advancing materials science, nanotechnology, and bioengineering through both research and innovation.

Research Interests

Dr. Wang specializes in fluid mechanics, micro/nano-structured materials, and the dynamic interfacial behaviors of droplets. His current research includes developing high-throughput micro-droplet array systems, enhancing biosensor technology, promoting and suppressing condensation in materials, and leveraging AI in material discovery.

Patents

Dr. Wang is an inventor on several patents that cover advanced material technologies, including innovations in fluid collection systems, microfluidic chips, and high-throughput synthesis methods for magnetic micro/nanomaterials. His patents contribute to applications in fields ranging from biomedical devices to environmental engineering.

Research Projects

Dr. Wang has led numerous significant projects as a Principal Investigator. His recent projects include an NSFC Young Scientist Fund project on droplet self-rotation, a Postdoctoral Fund project exploring bioactive solution wetting dynamics, and a Shenzhen Research Grant for developing transparent polymer films to inhibit condensation. His ongoing work at the Shenzhen Institutes of Advanced Technology under the Excellent Youth Fund focuses on large-scale micro-droplet array formation.

Top Notable Publications

Hu, J., & Wang, Z.-L. (2024). The effect of hygroscopic liquids on the spatial controlling of condensation on low-temperature surfaces. Surfaces and Interfaces, 55, 105430.

Citations: 0

Hu, J., Zhao, H., Xu, Z., Hong, H., & Wang, Z.-L. (2024). The effect of substrate temperature on the dry zone generated by the vapor sink effect. Physics of Fluids, 36(6), 067106.

Citations: 1

Lin, K., & Wang, Z. (2023). Multiscale mechanics and molecular dynamics simulations of the durability of fiber-reinforced polymer composites. Communications Materials, 4(1), 66.

Citations: 18

Xu, Y., Zhang, D., Wu, Q., Xu, Z., & Wu, T. (2023). Facet-dependent electrochemical behavior of Au-Pd Core@Shell nanorods for enhanced hydrogen peroxide sensing. ACS Applied Nano Materials, 6(20), 18739–18747.

Citations: 3

Wang, Z.-L., & Lin, K. (2023). The multi-lobed rotation of droplets induced by interfacial reactions. Physics of Fluids, 35(2), 021705.

Citations: 1

Wang, Z., Wang, X., Miao, Q., Gao, F., & Zhao, Y.-P. (2021). Spontaneous motion and rotation of acid droplets on the surface of a liquid metal. Langmuir, 37(14), 4370–4379.

Citations: 8

Wang, Z., Wang, X., Miao, Q., & Zhao, Y.-P. (2021). Realization of self-rotating droplets based on liquid metal. Advanced Materials Interfaces, 8(3), 2001756.

Citations: 6

Conclusion

Dr. Zhan-Long Wang’s strong academic record, pioneering research, impressive patents, and multiple awards position him as an exemplary candidate for the Research for Best Scholar Award. His innovative contributions to engineering and science demonstrate his commitment to advancing technology and society, making him highly suitable for this distinguished recognition.

 

 

 

 

 

 

 

Sayed Majid | Chemical Engineering | Best Researcher Award

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Mr. Sayed Majid | Chemical Engineering | Best Researcher Award

Mr. Sayed Majid, Isfahan University of Technology, Iran

Sayed Majid Ayat is an Environmental Specialist at Esfahan Mobarakeh Steel Company (MSC) in Iran, a position he has held since December 2007. He has a diverse background in process and quality management, having previously worked as a Management Representative in Quality Assurance and Project Manager at Ghaem Reza Industries Company (GRICO). Mr. Ayat holds a Bachelor’s degree in Chemical Engineering from Sharif University of Technology, an MBA from Azad University of Najaf Abad, and a Master’s degree in Chemical Engineering from Isfahan University of Technology. His expertise includes environmental management, process optimization, and research in pollution prevention and CRM systems.

PROFILE

Google Scholar Profile

Educational Details

Sayed Majid Ayat holds a Bachelor’s degree in Chemical Engineering from Sharif University of Technology, Tehran, Iran, earned in June 1999. He furthered his education with an MBA from Azad University of Najaf Abad, Isfahan, Iran, completed in September 2006. He later obtained a Master’s degree in Chemical Engineering from Isfahan University of Technology, Isfahan, Iran, in June 2014. Mr. Ayat is proficient in JAVA 2 Micro Edition (J2ME) and Matlab programming, and is skilled in using HYSYS and Fluent simulators for process simulation and analysis.

Research 

Sayed Majid Ayat’s research includes several notable projects. In April 2003, he conducted a study on “R&D Requirements for Pollution Prevention in the Iron & Steel Industry” for Ghaem Reza Industries Company. In March 2005, he explored the “CRM Effect on Customer Loyalty for Service Providers,” focusing on a case study at the same company. His research also encompasses “Open Source CRM System & Software,” which he presented to the Middle East Export & Marketing Research Institution in August 2005. Additionally, he completed a study on “Non-Linear Modeling for Supercritical CO2 Extraction” at Isfahan University of Technology in June 2014.

Top Notable Publications

“The independence number of circulant triangle-free graphs”

Authors: SM Ayat, SM Ayat, M Ghahramani

Year: 2020

Citations: 1

Journal: AIMS Mathematics 5 (4), 3741-3750

“Optimization of Bioflocculant production from municipal sewage sludge by Aspergillus niger using Response Surface Methodology”

Authors: SM Ayat, AA Dadkhah, A Ahmadi, A Nasrollahi

Year: 2024

Citations: Not listed

Journal: (Not specified)

“An overview of bio-flocculation of industrial effluents containing iron oxides in the iron and steel industries”

Authors: MR Seyed Majid Ayat, Ali Akbar Dadkhah, Amir Nasrollahi

Year: 2024

Citations: Not listed

Journal: Desalination and Water Treatment 320

“The Students’ and Lecturers’ Viewpoint about Efficiency of Mathematics Teaching Style”

Authors: SM Ayat, SM Ayat, H Saboorı

Year: 2018

Citations: Not listed

Journal: The Eurasia Proceedings of Educational and Social Sciences 9, 217-223

“Two Genetic Algorithm for Ramsey Graphs”

Authors: SM Ayat, SM Ayat, A Akrami

Year: 2012

Citations: Not listed

Journal: (Not specified)

“اصول برنامه نویسی برای موبایل‎” (Principles of Programming for Mobile)

Authors: سیدمجید آیت و هادی امین زاده‎ (Seyed Majid Ayat and Hadi Aminzadeh)

Year: 2007

Citations: Not listed

Journal: (Not specified)