Yun Zhao | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Yun Zhao | Engineering | Best Researcher Award

Yun Zhao at Northwest Normal University, China

Dr. Yun Zhao 🎓 is an Associate Professor at the College of Physics and Electronic Engineering, Northwest Normal University 🏫, since 2020. He earned his Ph.D. in Materials Science and Engineering 🧪 from the Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences 🇨🇳, in 2020. Shortly after, he joined the Ningbo Institute of Materials Technology and Engineering 🔬 as a postdoctoral researcher. His work focuses on thin film photodetectors 📸 and semiconductor devices 💡. Dr. Zhao is passionate about next-gen optoelectronics and is actively contributing to innovation in functional materials and device engineering 🚀.

Professional Profile:

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🎓 Education & Experience 

  • 📚 Ph.D. in Materials Science and Engineering, Lanzhou Institute of Chemical Physics, CAS – 2020

  • 🧑‍🏫 Postdoctoral Researcher, Ningbo Institute of Materials Technology and Engineering, CAS

  • 👨‍🏫 Associate Professor, College of Physics and Electronic Engineering, Northwest Normal University – Since 2020

📈 Professional Development 

Dr. Yun Zhao continuously engages in academic and research development through national and institutional collaborations 🤝. His postdoctoral work at the prestigious Ningbo Institute of CAS sharpened his experimental techniques and deepened his expertise in advanced semiconductors ⚙️. As an associate professor, he mentors young researchers 👨‍🔬 and collaborates on interdisciplinary projects across optics, electronics, and nanotechnology 🔍. He regularly attends academic conferences, publishes in reputed journals 📄, and reviews scientific manuscripts. His dedication to professional growth ensures he stays at the forefront of innovation in functional materials and optoelectronic devices 🌐.

🔬 Research Focus 

Dr. Yun Zhao’s research primarily revolves around thin film photodetectors 📸 and semiconductor devices ⚡. His focus lies in designing and fabricating new materials with enhanced sensitivity, stability, and performance for light-sensing technologies 🌞. He explores emerging materials such as perovskites and nanostructures 🌱 for integration into flexible and wearable electronics 🧤. His work bridges the gap between material science and applied electronics, aiming to revolutionize future optoelectronic systems 🔋. The end goal of his research is to contribute to high-performance, low-cost, and energy-efficient devices for real-world applications 🚗📱.

🏆 Awards and Honors 

  • 🎖️ Ph.D. fellowship from the Chinese Academy of Sciences

  • 🏅 Postdoctoral appointment at Ningbo Institute of Materials Technology and Engineering (CAS)

  • 🏆 Recognized for outstanding research contributions in thin film photodetectors

  • 📜 Multiple peer-reviewed publications in reputed international journals

Publication Top Notes

1. Understanding Proton Radiation-Induced Degradation Mechanisms in Cu₂ZnSn(S,Se)₄ Kesterite Thin-Film Solar Cells

Journal: Solar Energy
Date: May 2025
DOI: 10.1016/j.solener.2025.113450
Summary:
This study investigates how proton radiation affects the stability and performance of Cu₂ZnSn(S,Se)₄ (CZTSSe) thin-film solar cells. Proton radiation is relevant for space applications where solar cells are exposed to high-energy particles. The paper likely explores:

  • Changes in carrier lifetimes and defect states post-irradiation.

  • Structural or compositional changes in the absorber layer.

  • Strategies to mitigate degradation for improved radiation tolerance.

2. Multifunctional Artificial Electric Synapse of MoSe₂-Based Memristor toward Neuromorphic Application

Journal: The Journal of Physical Chemistry Letters
Date: February 6, 2025
DOI: 10.1021/acs.jpclett.4c03353
Summary:
This article presents a MoSe₂-based memristor designed to emulate biological synapses. The work focuses on neuromorphic computing, highlighting:

  • Synaptic plasticity behaviors (e.g., potentiation/depression).

  • Multifunctionality (possibly electrical + optical control).

  • Performance metrics like switching speed, retention, and endurance.

3. Exploring the Promoting Effect of Lanthanum Passivation on the Photovoltaic Performance of CZTSSe Solar Cells

Journal: The Journal of Chemical Physics
Date: December 21, 2024
DOI: 10.1063/5.0244645
Summary:
This paper studies how lanthanum (La) passivation enhances CZTSSe solar cell efficiency. Key aspects likely include:

  • Reduction in defect densities at grain boundaries or interfaces.

  • Improvements in open-circuit voltage and fill factor.

  • Insights into La’s role in modifying electronic structure or surface chemistry.

4. Electrical-Light Coordinately Modulated Synaptic Memristor Based on Ti₃C₂ MXene for Near-Infrared Artificial Vision Applications

Journal: The Journal of Physical Chemistry Letters
Date: August 29, 2024
DOI: 10.1021/acs.jpclett.4c02281
Summary:
This research showcases a Ti₃C₂ MXene-based memristor that responds to both electrical and light inputs, mimicking the retina for near-infrared vision. Highlights include:

  • Dual-mode modulation (electrical and optical).

  • Application in neuromorphic visual systems.

  • Spectral response analysis and synaptic behavior simulation.

5. Multicolor Fully Light-Modulated Artificial Synapse Based on P-MoSe₂/PxOy Heterostructured Memristor

Journal: The Journal of Physical Chemistry Letters
Date: August 29, 2024
DOI: 10.1021/acs.jpclett.4c01980
Summary:
This study introduces a heterostructured memristor combining P-doped MoSe₂ and PxOy, enabling light-tuned synaptic responses. Likely contributions:

  • Multicolor light sensitivity for multi-channel processing.

  • Photonic modulation of conductance states.

  • Integration prospects for optical neuromorphic systems.

Conclusion

Dr. Yun Zhao is highly suitable for the Best Researcher Award, particularly in categories related to emerging materials, device physics, or engineering sciences. His rapid academic progression, focused and relevant research in photodetectors and semiconductors, and training at top-tier institutions within the Chinese Academy of Sciences establish him as a promising and impactful researcher. Recognition through such an award would be both meritorious and motivating for his continued contributions to the field.

Guanwei Jia | Engineering | Best Researcher Award

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Dr. Guanwei Jia | Engineering | Best Researcher Award

Associate Professor at Henan University, China

Guanwei jia (born in 1982) is an associate professor at the School of Physics and Electronics, Henan University, China. He holds a BSc in Electronic Information Engineering (2006), an MSc in Mechanical Engineering (2012), and a Ph.D. in Mechanical Engineering from Beihang University (2018). His research focuses on hydrogen-blended natural gas pipeline transportation and energy storage. By Spring 2025, he has 38 publications indexed in Web of Science. His contributions aim to enhance energy efficiency and sustainable energy solutions, making him a key figure in the field of energy engineering. 🔬⚡

Professional Profile:

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Education & Experience 🎓📜

  • BSc in Electronic Information Engineering – 2006 🎓📡

  • MSc in Mechanical Engineering – 2012 🛠️📊

  • Ph.D. in Mechanical Engineering (Beihang University) – 2018 🎓⚙️

  • Associate Professor, Henan University – Present 🎓🏛️

Professional Development 🚀🔍

Guanwei jia has significantly contributed to energy research, particularly in hydrogen-blended natural gas pipeline transportation and energy storage. His work integrates advanced mechanical engineering techniques with sustainable energy solutions. With 38 Web of Science-indexed publications, his research provides insights into energy optimization and pipeline safety. He collaborates with industry and academia to advance clean energy technologies. As an associate professor, he mentors students and leads research projects, fostering innovation in energy sustainability. His efforts in alternative energy solutions contribute to global efforts for a cleaner and more efficient energy future. 🔬⚡🌍

Research Focus 🔬⚡

Guanwei jia specializes in hydrogen-blended natural gas transportation and energy storage, addressing key challenges in pipeline safety, efficiency, and sustainability. His research explores how hydrogen integration in natural gas pipelines enhances energy efficiency while reducing carbon emissions. By leveraging mechanical engineering principles, he aims to develop secure and cost-effective storage solutions. His studies help advance the transition toward renewable energy, making natural gas pipelines adaptable for future hydrogen-based energy systems. His findings are valuable for energy infrastructure development, ensuring a safer, cleaner, and more efficient energy network for the future. ⚙️🌍⚡

Awards & Honors 🏆🎖️

  • 38 Web of Science-indexed publications 📑🔍

  • Recognized for contributions to hydrogen-blended gas research ⚡🔬

  • Active mentor and researcher in energy storage solutions 🎓📚

  • Key collaborator in sustainable energy initiatives 🌍🔋

Publication Top Notes

  1. “Water Vapour Condensation Behaviour within Hydrogen-Blended Natural Gas in Laval Nozzles”

    • Authors: Not specified in the provided information.

    • Journal: Case Studies in Thermal Engineering

    • Publication Date: March 2025

    • DOI: 10.1016/j.csite.2025.106064

    • Summary: This study investigates how water vapor condenses in hydrogen-blended natural gas as it flows through Laval nozzles. Understanding this behavior is crucial for optimizing nozzle design and ensuring efficient operation in systems utilizing hydrogen-enriched natural gas.​

  2. “Simulation Study on Hydrogen Concentration Distribution in Hydrogen Blended Natural Gas Transportation Pipeline”

    • Authors: Not specified in the provided information.

    • Journal: PLOS ONE

    • Publication Date: December 3, 2024

    • DOI: 10.1371/journal.pone.0314453

    • Summary: This research employs simulations to analyze how hydrogen distributes within natural gas pipelines when blended. The findings provide insights into maintaining consistent hydrogen concentrations, which is vital for pipeline safety and efficiency.​

  3. “Numerical Simulation of the Transport and Thermodynamic Properties of Imported Natural Gas Injected with Hydrogen in the Manifold”

    • Authors: Not specified in the provided information.

    • Journal: International Journal of Hydrogen Energy

    • Publication Date: February 2024

    • DOI: 10.1016/j.ijhydene.2023.11.178

    • Summary: This paper presents numerical simulations examining how injecting hydrogen into imported natural gas affects its transport and thermodynamic properties within a manifold. The study aims to inform strategies for integrating hydrogen into existing natural gas infrastructures.​

  4. “Performance Analysis of Multiple Structural Parameters of Injectors for Hydrogen-Mixed Natural Gas Using Orthogonal Experimental Methods”

    • Authors: Not specified in the provided information.

    • Journal: Physics of Fluids

    • Publication Date: November 1, 2023

    • DOI: 10.1063/5.0175018

    • Summary: This study evaluates how various structural parameters of injectors influence the performance of hydrogen-mixed natural gas systems. Using orthogonal experimental methods, the research identifies optimal injector designs to enhance efficiency and reliability.​

  5. “Ultrasonic Gas Flow Metering in Hydrogen-Mixed Natural Gas Using Lamb Waves”

    • Authors: Not specified in the provided information.

    • Journal: AIP Advances

    • Publication Date: November 1, 2023

    • DOI: 10.1063/5.0172477

    • Summary: This paper explores the application of Lamb waves in ultrasonic gas flow metering for hydrogen-mixed natural gas. The research demonstrates the effectiveness of this non-contact method in accurately measuring gas flow, which is essential for monitoring and controlling gas distribution systems.

Conclusion

While Guanwei Jia has made valuable contributions to the field of hydrogen energy and pipeline transportation, his suitability for a Best Researcher Award would depend on additional factors such as citations, research impact, industry collaborations, patents, and leadership in major projects. If he has demonstrated exceptional influence beyond publications—such as shaping energy policies, leading significant projects, or achieving high citation impact—he would be a strong candidate for the award.

Mahmood Shakiba | Engineering | Best Researcher Award

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Assist. Prof. Dr. Mahmood Shakiba | Engineering | Best Researcher Award

Faculty member at Ferdowsi University of Mashhad, Iran

Dr. mahmood shakiba 🇮🇷 is an assistant professor at Ferdowsi University of Mashhad, specializing in petroleum engineering with expertise in hydrocarbon reservoirs and enhanced oil recovery (EOR) 🛢️. He earned his Ph.D. from Amirkabir University of Technology (2020) 🎓, focusing on nano-assisted smart water for sand production control. With extensive experience in CO₂ and H₂ underground storage projects, reservoir characterization, and formation damage remediation, he has held key academic and industrial roles. As a researcher and educator, he has contributed significantly to petroleum engineering, guiding students and leading innovative studies in reservoir engineering and geomechanics 🔬📚.

Professional Profile

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Education & Experience

Education 🎓

✅ Ph.D. in Petroleum Engineering (Hydrocarbon Reservoirs), Amirkabir University of Technology (2016-2020)

  • Thesis: Nano-assisted smart water for sand production in unconsolidated sandstone reservoirs.

✅ M.Sc. in Petroleum Engineering (Hydrocarbon Reservoirs), Shiraz University (2012-2014)

  • Thesis: Enhanced oil recovery & CO₂ storage via carbonated water injection.

✅ B.Sc. in Petroleum Engineering (Reservoir Engineering), Shiraz University (2008-2012)

  • Thesis: Simulation of solution gas drive in fractured reservoirs.

Work Experience 🛠️

🔹 Assistant Professor – Ferdowsi University of Mashhad (2023-Present)
🔹 Project Supervisor – Underground CO₂ Storage (2023-Present)
🔹 Researcher – Underground H₂ Storage, RIPI (2023-Present)
🔹 Technical Manager – Upstream Oil Research Center, Sharif University (2020-2022)
🔹 Technical Supervisor – MAPSA Co., Tehran (2019-2020)
🔹 Industrial Consultant – MAPSA Co., Tehran (2019-2020)
🔹 Senior Lab Equipment Designer – MAPSA Co., Tehran (2018-2019)
🔹 Researcher – Advanced EOR Research Center, Shiraz University (2011-2014)

Professional Development 🌟

Dr. mahmood shakiba has significantly contributed to petroleum engineering through teaching, research, and industrial consulting 📖🔬. His expertise spans reservoir engineering, well testing, and gas reservoirs 🚀. At Ferdowsi University, he educates students on reservoir management and maintenance, while leading projects on underground CO₂ and H₂ storage. His industry experience includes technical supervision, reservoir characterization, and EOR techniques 🏭. Dr. shakiba has also played a key role in laboratory equipment design and geomechanical feasibility studies. His dedication to advancing sustainable energy storage and petroleum recovery has established him as a leader in the field 🌍💡.

Research Focus 🔬

Dr. shakiba’s research primarily focuses on enhanced oil recovery (EOR), underground storage of CO₂ and H₂, and reservoir geomechanics 🏗️. His experimental and simulation studies have explored innovative methods for improving oil recovery and mitigating environmental impact 🌱. He has investigated nano-assisted smart water flooding, formation damage remediation, and CO₂ sequestration to optimize hydrocarbon reservoir performance. His geological and geomechanical feasibility studies have contributed to safe underground hydrogen storage ⚡. His work advances sustainable energy solutions while improving oil and gas recovery efficiency for the future 🌍🔋.

Awards & Honors 🏆

🏅 Technical Leadership Award – Upstream Oil Research Center, Sharif University
🏅 Outstanding Research Contribution – Research Institute of Petroleum Industry (RIPI)
🏅 Best Thesis Award – Amirkabir University of Technology (2020)
🏅 Top Researcher Recognition – Shiraz University EOR Research Center
🏅 Best Instructor Award – Ferdowsi University of Mashhad (2023)

Publication Top Notes

  1. Investigation of oil recovery and CO₂ storage during secondary and tertiary injection of carbonated water in an Iranian carbonate oil reservoir

    • Journal of Petroleum Science and Engineering (2016)
    • Citations: 79
    • Examines how carbonated water injection (CWI) enhances oil recovery and CO₂ storage efficiency in carbonate reservoirs under secondary and tertiary injection scenarios.

  2. A mechanistic study of smart water injection in the presence of nanoparticles for sand production control in unconsolidated sandstone reservoirs

    • Journal of Molecular Liquids (2020)
    • Citations: 35
    • Investigates how smart water, combined with nanoparticles, helps mitigate sand production in weakly consolidated sandstone reservoirs while improving oil recovery.

  3. The impact of connate water saturation and salinity on oil recovery and CO₂ storage capacity during carbonated water injection in carbonate rock

    • Chinese Journal of Chemical Engineering (2019)
    • Citations: 29
    • Analyzes how variations in connate water saturation and salinity influence oil displacement efficiency and CO₂ trapping during CWI in carbonate formations.

  4. Effects of type and distribution of clay minerals on the physico-chemical and geomechanical properties of engineered porous rocks

    • Scientific Reports (2023)
    • Citations: 21* (recently published)
    • Studies how different clay minerals affect the structural integrity and chemical behavior of engineered porous rocks, impacting reservoir performance.

  5. An experimental insight into the influence of sand grain size distribution on the petrophysical and geomechanical properties of artificially made sandstones

    • Journal of Petroleum Science and Engineering (2022)
    • Citations: 15
    • Explores the role of sand grain size variations in determining the permeability, porosity, and mechanical strength of artificial sandstone samples.

Zhou Zhiwu | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Zhou Zhiwu | Engineering | Best Researcher Award

School of Civil and Environmental Engineering at Hunan University of Science and Engineering, China

Zhou zhiwu, a senior engineer and registered tester, is an associate professor and master’s supervisor at hunan university of science and engineering. he earned his ph.d. in transportation infrastructure and territory from the polytechnic university of valencia (🇪🇸) with top honors, including the UPV Outstanding Doctorate and the 2023 Spanish Outstanding Doctoral Award 🏆. with 15 years in national engineering projects, he has led major constructions, published 28 research papers 📄, and serves as a reviewer for 20 SCI journals. his expertise spans (ancient) bridge monitoring, high-speed railway track optimization, and sustainable structural design.

Professional Profile

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Education & Experience 🎓👷‍♂️

📚 Education:

  • 🎓 Bachelor’s in Architectural Engineering – Lanzhou Jiaotong University (2000-2004)
  • 🎓 Master’s in Transportation Engineering – Lanzhou Jiaotong University (2013-2016)
  • 🎓 Ph.D. in Transport Infrastructure & Territory – Polytechnic University of Valencia, Spain (2019-2023) 🏅

💼 Work Experience:

  • 🏗 Project Manager – China Railway 15th Bureau Group (2002-2017)
  • 🏢 Chief Engineer – Xinjiang Highway Science & Technology Research Institute (2017-2018)
  • 📖 Full-time Teacher & Leader – Chongqing Public Vocational Transport College (2018-2019)
  • 🔬 Doctor & Associate Researcher – Polytechnic University of Valencia, Spain (2019-2023)
  • 🎓 Associate Professor & Master Supervisor – Hunan University of Science and Engineering (2023-Present)

Professional Development 🚀🔬

Zhou zhiwu is a multidisciplinary researcher and engineer specializing in transportation infrastructure, structural health monitoring, and sustainable development. with over 15 years of experience in large-scale construction projects 🏗, he has contributed to high-speed railways 🚄, highways 🛣, and industrial buildings 🏢. he has led and participated in 11 international and national research projects, collaborated with top institutions, and published extensively in SCI-indexed journals 📚. in addition to research, he is a dedicated educator 📖 and serves as an editorial board member for the American Journal of Environmental Science and Engineering, actively reviewing 148+ research articles.

Research Focus 🔍🏗

Zhou zhiwu’s research lies in transportation engineering, structural monitoring, and sustainable infrastructure:

  • 🏛 (Ancient) Bridge & Building Health Monitoring – Studying structural integrity & durability
  • 🌱 Sustainable Infrastructure – Coupling optimization for large-scale structures
  • 🚄 High-Speed Railway Track Optimization – Preventing track diseases & enhancing efficiency
  • 🏗 Indeterminate Structural Design – Improving extra-large bridge sustainability
  • 🔬 Engineering Project Management – Enhancing efficiency in large-scale construction

his work integrates modern monitoring techniques 📡, advanced materials 🏗, and sustainable engineering 🌱 to enhance long-term infrastructure performance.

Awards & Honors 🏆🎖

  • 🏅 UPV Outstanding Doctorate Award – Polytechnic University of Valencia, Spain
  • 🏆 2023 Spanish Outstanding Doctoral Award – Top honor for doctoral research
  • 🏗 National Engineering Construction Quality Management Award (First Class)
  • 🏆 First-Class Science & Technology Award – China Railway Construction Corporation
  • 🏅 Provincial & Ministerial-Level Awards – Henan Province (Two awards)
  • 🏆 China Civil Engineering Society “National Second Prize”
  • 🎖 Reviewer for 20 SCI Journals – Reviewed 148+ articles

Publication Top Notes

  1. Research on spatial deformation monitoring and numerical coupling of deep foundation pit in soft soil

    • Journal of Building Engineering, 2025.
    • DOI: 10.1016/j.jobe.2024.111636
    • Citation (APA):
      Author(s). (2025). Research on spatial deformation monitoring and numerical coupling of deep foundation pit in soft soil. Journal of Building Engineering, XX, 111636.

  2. Three-dimensional finite element-coupled optimisation assessment of extra-large bridges

    • Structures, 2024.
    • DOI: 10.1016/j.istruc.2024.107743
    • Citation (APA):
      Author(s). (2024). Three-dimensional finite element-coupled optimisation assessment of extra-large bridges. Structures, XX, 107743.

  3. Research on coupling optimization of carbon emissions and carbon leakage in international construction projects

    • Scientific Reports, 2024.
    • DOI: 10.1038/s41598-024-59531-4
    • Citation (APA):
      Zhou, Z. (2024). Research on coupling optimization of carbon emissions and carbon leakage in international construction projects. Scientific Reports, XX, 59531. Building the future: Smart concrete as a key element in next-generation construction
    • Construction and Building Materials, 2024.
    • DOI: 10.1016/j.conbuildmat.2024.136364
    • Citation (APA):
      Zhou, Z. (2024). Building the future: Smart concrete as a key element in next-generation construction. Construction and Building Materials, XX, 136364.

  4. The centennial sustainable assessment of regional construction industry under the multidisciplinary coupling model

    • Sustainable Cities and Society, 2024.
    • DOI: 10.1016/j.scs.2024.105201
    • Citation (APA):
      Author(s). (2024). The centennial sustainable assessment of regional construction industry under the multidisciplinary coupling model. Sustainable Cities and Society, XX, 105201.

ADAM ISMAEEL | Engineering | Best Researcher Award

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Assoc. Prof. Dr. ADAM ISMAEEL | Engineering | Best Researcher Award

Full-time teacher at Quanzhou University of Information Engineering, China

Adam ismaeel is an associate professor at the school of mechanical and electrical engineering, quanzhou university of information engineering, china. originally from sudan, he specializes in crystal plasticity and multiscale computational materials. with over five years of experience, he has contributed to titanium alloy design, simulation methods, and microstructure evolution. fluent in arabic, english, and chinese (HSK3), he is dedicated to advancing materials science through computational methods and artificial intelligence. his passion for scientific discovery and knowledge sharing drives his research, making significant contributions to additive manufacturing and materials processing. 🌍🔬

Professional Profile 

Education & Experience 🎓🔧

  • Ph.D. in Material Physics and Chemistry (2019-2024) 📚

    • University of Science and Technology of China (USTC)
    • Research at the Institute of Metals Research, CAS in multiscale computational materials

  • Master of Engineering in Materials Processing Engineering (2015-2018) 🏗️

    • Dalian University of Technology
    • Research at the Key Laboratory of Materials Modification by Laser, Ion, and Electron Beam

  • Bachelor of Science in Materials Processing (2003-2010) 🏭

    • University of Juba, Sudan
    • Research experience at Industrial Research and Consultancy Center, Sudan

  • Work Experience 👨‍🏫

    • Associate Professor (2024-Present) 🎓
      • School of Mechanical and Electrical Engineering, Quanzhou University of Information Engineering, China

Professional Development 🚀

adam ismaeel has built a strong expertise in multiscale computational materials, focusing on crystal plasticity simulation, microstructure evolution, and mechanical properties. he integrates artificial intelligence into materials design, enhancing additive manufacturing techniques. his proficiency in technical writing, data analysis, and simulation methods allows him to solve complex engineering problems efficiently. his commitment to lifelong learning has made him a valuable contributor to advanced materials research. through his academic journey in sudan and china, he has developed multilingual communication skills, further enabling international collaboration in scientific discoveries. 📈🔬💡

Research Focus 🔍

adam ismaeel specializes in crystal plasticity and multiscale computational materials, exploring microstructure evolution, mechanical behavior, and fatigue properties of metals, particularly titanium alloys. his research integrates advanced simulation techniques and artificial intelligence-assisted materials design to optimize manufacturing processes. he is also deeply involved in additive manufacturing, working on improving material performance through innovative processing techniques. his work contributes to developing stronger, more durable materials for industrial applications, including aerospace, automotive, and biomedical engineering. his passion for scientific innovation and problem-solving drives him to continuously push the boundaries of materials science. ⚙️🛠️📊

Awards & Honors 🏆

  • Chinese Government Scholarship (2015-2018) 🇨🇳
  • Institute of Metal Research Scholarship, CAS (2019-2024) 🏅

Publication Top Notes

Effect of Texture on the Fatigue Crack Initiation of a Dual-Phase Titanium Alloy
  • Authors: Adam Ismaeel, Xuexiong Li, Dongsheng Xu, Jinhu Zhang, Rui Yang
  • Journal: Journal of Materials Research and Technology
  • Year: 2024
  • DOI: 10.1016/j.jmrt.2024.10.178

Conclusion

Adam Ismaeel is a strong candidate for a Best Researcher Award, given his expertise in computational materials science, high-quality research output, and notable achievements. To further strengthen his candidacy, he could focus on leadership roles, high-impact journal publications, and industry collaborations. His research contributions in titanium alloys and crystal plasticity simulations are valuable, making him a competitive nominee.

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.

Svetislav Savovic | Engineering | Best Researcher Award

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Prof. Dr. Svetislav Savovic | Engineering | Best Researcher Award

prof. Dr. Svetislav Savovic, University of Kragujevac, Serbia

prof. dr svetislav savovic is a distinguished physicist and professor at the university of kragujevac, serbia. With extensive expertise in optics, computational physics, and nuclear physics, he has contributed significantly to research in photonics, material science, and radiation measurements. He has collaborated with leading international institutions and is actively involved in advancing optical fiber technologies and experimental nuclear physics.

PROFILE

Scopus Profile

Educational Detail

PhD in Physics, university of kragujevac, serbia

MSc in Physics, university of belgrade, serbia

BSc in Physics, university of kragujevac, serbia

Professional Experience

Professor, university of kragujevac, faculty of science, serbia
December 2009 – present

Associate Professor, university of kragujevac, faculty of science, serbia
February 2004 – December 2009

Assistant Professor, university of kragujevac, faculty of science, serbia
September 1997 – February 2004

Visiting Professor/Researcher Positions:

Sapienza University of Rome, Italy (December 2019)

University of Applied Sciences, Leipzig, Germany (June 2018)

Polytechnic University of Hong Kong, Hong Kong (2015-2017, multiple terms)

City University of Hong Kong, Hong Kong (Senior Research Fellow, 3 years, 2000-2019)

Centre Recherche Nucleaires (CRN), Strasbourg, France (May-June 1991)

Aristotle University, Thessaloniki, Greece (Multiple terms, 1990-2009)

International Centre for Theoretical Physics, Trieste, Italy (1988-1990)

University of Poznan and University of Krakow, Poland (September-October 1990)

Teaching Experience

prof. savovic has extensive teaching expertise in the following areas:

Photonics

Metrology

Experimental techniques in physics

Numerical methods and simulations in physics

Informatics and computer programming

Laboratory of modern physics

Biophysics

Atomic physics

Monte-Carlo methods

Nuclear physics

Computational biophysics

Research Interests

Optics and photonics

Computational physics

Monte-Carlo methods

Partial differential equations

Experimental nuclear physics

Radiation measurements

Material science

Research Projects

Computer modeling of deflection-curvature sensors (1999-2000, Hong Kong)

Modal curvature gauge development (2000-2003, Hong Kong)

Mode coupling and power transfer in polymer optical fibers (2005-2009, Hong Kong)

Effects of gamma radiation on step-index plastic optical fibers (2011-2012, Hong Kong)

Advancements in W-type and graded-index plastic optical fibers (2013-2019, Hong Kong)

Characterization and design of photonic crystal fibers (2021-2025, Serbia, Hong Kong, UAE)

Nuclear Physics:

High-energy experimental nuclear physics (1997-2000, Serbia)

Standard Model parameter measurements and new particle searches (2006-2010, CERN, Geneva)

Member of the ATLAS collaboration at CERN (2006-2010)

Mathematics:

Numerical solutions for Stefan problems with accuracy and efficiency emphasis (2002-2003, Hong Kong)

Key Achievements

Long-term international collaborations across Europe and Asia.

Published groundbreaking research in optics and nuclear physics.

Developed innovative optical fiber technologies for sensing and data transmission.

Contributed to the ATLAS experiment at CERN, advancing particle physics research.

Top Notable Publications

Interference mitigation using optimised angle diversity receiver in LiFi cellular network
Zeng, Z., Chen, C., Wu, X., Safari, M., Haas, H.
Optics Communications, 2025, 574, 131125.
Citations: 0

Theoretical investigation of the space division multiplexing capacity of multimode step-index plastic optical fibers
Savović, S., Aidinis, K., Chen, C., Min, R.
Optik, 2024, 311, 171945.
Citations: 0

Influence of launch light beam conditions on the bandwidth in multimode graded-index microstructured POFs
Simović, A., Savović, S., Drljača, B., Chen, C., Min, R.
Applied Optics, 2024, 63(22), pp. 5926–5930.
Citations: 0

Enhancing OFDM with index modulation using heuristic geometric constellation shaping and generalized interleaving for underwater VLC
Zhao, Y., Chen, C., Zhong, X., Lin, B., Savović, S.
Optics Express, 2024, 32(8), pp. 13720–13732.
Citations: 5

Application of the power flow equation in modeling bandwidth in polymer optical fibers: a review
Drljača, B., Savović, S., Simović, A., Aidinis, K., Min, R.
Optical and Quantum Electronics, 2024, 56(4), 547.
Citations: 2

0.5-bit/s/Hz fine-grained adaptive OFDM modulation for bandlimited underwater VLC
Nie, Y., Chen, C., Savović, S., Zeng, Z., Shen, G.
Optics Express, 2024, 82(3), pp. 4537–4552.
Citations: 4

New method for the investigation of mode coupling in graded-index polymer photonic crystal fibers using the Langevin stochastic differential equation
Savović, S., Djordjevich, A., Aidinis, K., Chen, C., Min, R.
Frontiers in Physics, 2024, 12, 1479206.
Citations: 0

Wavelength dependent transmission in multimode graded-index microstructured polymer optical fibers
Simović, A., Savović, S., Wang, Z., Aidinis, K., Chen, C.
Frontiers in Physics, 2024, 12, 1340505.
Citations: 1

Theoretical and experimental investigation of the steady-state power distribution in multimode step-index plastic optical fibers
Dai, W., Savović, S., Zhao, C., Shao, R., Min, R.
Optical Fiber Technology, 2023, 81, 103531.
Citations: 2

Investigation of mode coupling in strained and unstrained multimode step-index POFs using the Langevin equation
Savović, S., Aidinis, K., Djordjevich, A., Min, R.
Heliyon, 2023, 9(7), e18156.
Citations: 1

Conclusion

Considering Prof. Dr. Svetislav Savovic’s vast academic qualifications, prolific research contributions, and impactful teaching and international collaborations, he is highly suitable for the Research for Best Researcher Award. His career epitomizes the values of innovation, academic excellence, and societal impact that the award seeks to honor.

 

 

 

 

 

 

 

 

 

 

 

 

Thi Hong Nhung Vu | Engineering | Best Researcher Award

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Dr. Thi Hong Nhung Vu | Engineering | Best Researcher Award 

Dr. Thi Hong Nhung V,  Vietnam National University of Forestry at Dong Nai, Vietnam

Dr. thi hong nhung v is a dedicated researcher and educator with nearly two decades of experience in teaching and research. Her studies have spanned multiple disciplines, focusing on the development of nanofibrous materials and composite biomaterials for medical and ecological applications. Her contributions include enhancing the fabrication and efficiency of PVA and PVA-chitosan nanofibers, with practical applications in drug delivery systems. An active participant in the academic community, she has attended numerous international conferences and has a strong publication record in high-impact journals. Dr. thi hong nhung v continues to innovate in the fields of nano biomaterials and bioengineering, driving advancements in both academia and applied sciences.

PROFILE

Orcid  Profile

Educational Detail

Dr. thi hong nhung v holds advanced degrees in fields related to biopolymers, nanomaterials, and bioengineering. She pursued her studies both in Vietnam and the Russian Federation. In Vietnam, she specialized in natural component extraction, while in the Russian Federation, her focus shifted to the development of nanofibrous materials for drug integration. Her education was complemented by projects involving artificial intelligence, optotechnics, bioengineering, and composite biomaterials.

Professional Experience

Dr. thi hong nhung v has 19 years of experience as a secondary school teacher and university lecturer in Vietnam. She has participated in and contributed to three significant research projects:

Artificial intelligence methods for cyber-physical systems.

Development of methods and tools for applied problems in optotechnics and bioengineering.

Composite biomaterials and technologies for ecophotonics and medicine.

Over the past five years, she has attended 12 international scientific conferences and published nine research articles in reputable journals indexed in SCI and Scopus. She has also contributed to book publications, with one carrying the ISBN 978-3-031-26907-3.

Research Interests

Dr. thi hong nhung v’s research interests include:

Biopolymers and polymers

Nano biomaterials and electrospinning

Nano biochemistry and nanomaterials

Her work focuses on developing and improving PVA and PVA-chitosan nanofibers, emphasizing solution composition, technological parameters, and the use of multicomponent solvent systems to enhance material properties and drug incorporation efficiency.

Top Notable Publications

thi hong nhung v, Study on Fabrication and Properties of Polyvinyl Alcohol/Chitosan Nanofibers Created from Aqueous Solution with Acetic Acid and Ethanol by the Electrospinning Method. Polymers, 2024, 16(23), 3393. DOI: 10.3390/polym16233393.

thi hong nhung v, Study on Fabrication and Properties of Polyvinyl Alcohol—Chitosan Nanofibers from Aqueous Solution with Acetic Acid and Ethanol by Electrospinning Method. Preprint, 2024. DOI: 10.20944/preprints202410.0296.v1.

thi hong nhung v, The Influence of Acetic Acid and Ethanol on the Fabrication and Properties of Poly(Vinyl Alcohol) Nanofibers Produced by Electrospinning. Polymer Bulletin, 2024, 81, 768-780. DOI: 10.1007/s00289-024-05168-2.

thi hong nhung v, A Systematic Investigation of Solution and Technological Parameters for the Fabrication and Characterization of Poly(Vinyl Alcohol–Chitosan) Electrospun Nanofibers. Polymers for Advanced Technologies, 2024, 35(5), 6423. DOI: 10.1002/pat.6423.

thi hong nhung v, Tafamidis Drug Delivery Systems Based on Chitosan/Polyvinyl Alcohol Matrix. ASEC 2023 Conference Proceedings, 2023. DOI: 10.3390/ASEC2023-15905.

thi hong nhung v, Fabrication of Polyvinyl Alcohol Nanofibers for the Delivery of Biologically Active Molecules. 2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES), 2022, pp. 117-123. DOI: 10.1109/iecbes54088.2022.10079434.

thi hong nhung v, Investigation of the Fabrication of Nanofibers from Aqueous Polyvinyl Alcohol Solutions by Electrospinning. Proceedings of the Voronezh State University of Engineering Technologies, 2022, 2, 210-220. DOI: 10.20914/2310-1202-2022-2-210-220.

Conclusion 

Based on her academic achievements, impactful research contributions, and interdisciplinary approach, Dr. Thi Hong Nhung V is an exemplary candidate for the Research for Best Researcher Award. Her work has significantly advanced the fields of nanotechnology and biomaterials, contributing to both scientific progress and practical applications in medicine and engineering.

 

 

 

 

 

 

 

 

 

 

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.

 

 

 

 

 

 

 

Bernardine Chidozie | Engineering | Best Researcher Award

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Mrs. Bernardine Chidozie | Engineering | Best Researcher Award

Mrs, Bernardine Chidozie, University of Aveiro, Portugal

Mrs. Bernardine Chidozie is a dedicated researcher and PhD student fellow at the University of Aveiro, Portugal, focusing on digital transformation, simulation modeling, and supply chain optimization, especially in the context of Industry 4.0 and 5.0. Her research employs simulation-based methods and digital tools to improve decision-making and operational performance in complex systems, such as healthcare and sustainable supply chains.

 

PROFILE

Orcid profile

Educational Details

With an academic foundation in engineering, Mrs. Chidozie has contributed significantly to projects like the “Sustainable Supply Chain Management Model for Residual Agroforestry Biomass,” utilizing a web platform to support her research, which began in 2022. Her publications explore the impact of digitalization on supply chains, including the optimization of biomass supply chains for sustainability. She has authored books like Simulation-Based Approaches to Enhance Operational Decision Support in Healthcare 5.0 and published articles in notable journals, such as Development of a Residual Biomass Supply Chain Simulation Model Using AnyLogistix.

Professional Experience

Professionally, Mrs. Chidozie has been involved in various research and consultancy projects, including industry-relevant studies that analyze the role of simulation and digital transformation in optimizing supply chains. She is an active member of the Council for the Regulation of Engineering in Nigeria (COREN) and collaborates on initiatives that bridge research and real-world applications. Her primary goal is to create innovative, technology-driven strategies to enhance sustainability, efficiency, and resilience in industrial and healthcare sectors.

Research Interests

Digital transformation, simulation modeling, supply chain optimization, Industry 4.0 and 5.0 applications, sustainable biomass supply chains, healthcare systems improvement, and decision-support systems.

Top Notable Publications

Chidozie, B.C. (2024). Highlighting Sustainability Criteria in Residual Biomass Supply Chains: A Dynamic Simulation Approach. Sustainability, Published: 2024-11-07, DOI: 10.3390/su16229709, Source: Crossref.

Chidozie, B.C. (2024). Development of a Residual Biomass Supply Chain Simulation Model Using AnyLogistix: A Methodical Approach. Logistics, Published: 2024-10-18, DOI: 10.3390/logistics8040107, Source: Crossref.

Chidozie, B.C. (2024). The Importance of Digital Transformation (5.0) in Supply Chain Optimization: An Empirical Study. Production Engineering Archives, Published: 2024-03-01, DOI: 10.30657/pea.2024.30.12, Source: Crossref.

Chidozie, B.C. (2024). Analytical and Simulation Models as Decision Support Tools for Supply Chain Optimization – An Empirical Study. The 17th International Conference Interdisciplinarity in Engineering (book chapter), DOI: 10.1007/978-3-031-54671-6_15, ISBN: 9783031546709, Source: Crossref.

Chidozie, B.C. (2024). Impacts of Simulation and Digital Tools on Supply Chain in Industry 4.0. The 17th International Conference Interdisciplinarity in Engineering (book chapter), DOI: 10.1007/978-3-031-54664-8_43, ISBN: 9783031546648, Source: Crossref.

Chidozie, B.C. (2024). Simulation-Based Approaches to Enhance Operational Decision-Support in Healthcare 5.0: A Systematic Literature Review. (book chapter), DOI: 10.1007/978-3-031-38165-2_78, Source: Crossref.

 Conclusion

Mrs. Bernardine Chidozie’s research achievements, particularly her focus on digital transformation and sustainable supply chains, make her a suitable candidate for the Best Researcher Award. Her work is relevant and impactful, addressing key challenges in Industry 4.0 and Healthcare 5.0. Her publications, ongoing projects, and industry involvement illustrate her dedication to advancing sustainability and efficiency across industries, marking her as a distinguished researcher in her field.