Assoc. Prof. Dr Zhigang YU | Alloys Design | Best Researcher Award |

Posted on by ScienceFather

Assoc. Prof. Dr. Zhigang YU | Alloys Design | Best Researcher Award

Associate Professor , at Shanghai University,China.

Assoc. Prof. Dr. Zhigang Yu is a dedicated and innovative researcher in the field of materials science, currently serving as an Associate Professor at Shanghai University, China. With a strong academic background and deep expertise in computational thermodynamics, magnesium alloys, and materials informatics, Dr. Yu is contributing significantly to advancing lightweight metal research using artificial intelligence and multi-scale simulation tools. His commitment to interdisciplinary research and academic leadership has earned him recognition in both national and international scientific communities.

Professional Profile

Scopus

Orcid

Education 🎓

Dr. Yu completed his Ph.D. in Materials Science from Shanghai University in July 2019, following his Master’s degree from the same institution in August 2015. He began his academic journey with a Bachelor’s degree in Materials Engineering from Yantai University, graduating in June 2012. His educational path reflects a steady and focused progression into advanced materials design and theoretical modeling.

Experience 💼

Dr. Yu has built a solid academic career at Shanghai University, where he currently holds the position of Associate Professor since October 2022. Prior to this role, he contributed as a Postdoctoral Researcher from January 2020 to September 2022, working on cutting-edge research in alloy thermodynamics and computational methods. His experience bridges both teaching and high-impact research, demonstrating his ability to mentor students and lead innovative projects.

Research Interests 🔬

Dr. Yu’s research centers around the thermodynamics and design of magnesium alloys, with a strong emphasis on multi-scale computational methods, first-principles calculations, and the integration of machine learning techniques for alloy prediction and optimization. His interdisciplinary approach aims to enhance the efficiency, performance, and sustainability of next-generation materials for structural and energy-related applications.

Awards 🏆

Dr. Yu has received several accolades in recognition of his research excellence and academic contributions. Notably, he was selected as an Awardee of the Shanghai Oriental Talents Program in 2023. He also won the Best Paper Award in the Magnesium Alloy section at the 4th International Conference on Non-Ferrous Materials in 2024. In addition, he has served as an Invited Speaker at the 8th Asian Conference on Materials and Data (2024), and is currently a member of the Youth Committee of the Editorial Board for the Journal of Materials Informatics (2025–2026).

Top Noted Publications 📚

Title: Local chemical fluctuation-tailored hierarchical heterostructure overcomes strength-ductility trade-off in high entropy alloys
Authors: Cai Pengcheng, Liu Jiaheng, Luan Jun, Yu Zhigang, Chou Kuochih
Citations: 2
Index: Journal of Materials Science and Technology
Year of Publication: 2025

Title: High temperature oxidation behavior of the dual-phase AlCoCr₀.₅Fe₂.₅Ni₂.₅ and single phase Al₀.₂₅CoCrFeNi high entropy alloys
Authors: Hu Han, Li Fangjie, Liu Min, Shen Qin, Yu Zhigang
Citations: 1
Index: Intermetallics
Year of Publication: 2025

Conclusion

With a unique blend of theoretical knowledge, computational skill, and a vision for data-driven materials innovation, Assoc. Prof. Dr. Zhigang Yu stands out as a rising leader in his field. His research not only addresses fundamental scientific questions but also contributes to practical advancements in sustainable materials development. His consistent contributions, recognition, and leadership roles make him a strong candidate for the Best Researcher Award and a valuable asset to the global scientific community.

Dr Yushen Zhang | New energy materials | Best Researcher Award |

Posted on by ScienceFather

Dr. Yushen Zhang | New energy materials | Best Researcher Award

lecturer , at Liaoning Petrochemical University, China.

Dr. Yushen Zhang is a dedicated researcher and academician specializing in the field of chemical engineering, with a focus on advanced photocatalytic materials for hydrogen evolution and renewable energy applications. Currently serving as a Lecturer at the School of Petrochemical Engineering, Liaoning Petrochemical University, China, he is recognized for his innovative research contributions aimed at developing cost-effective and sustainable energy solutions. With a growing list of publications in high-impact journals, Dr. Zhang is emerging as a promising figure in green energy and materials science.

Professional Profile

Scopus

Education 🎓

Dr. Zhang obtained his Ph.D. in Chemical Engineering and Technology from the prestigious Harbin Institute of Technology, where he studied from September 2010 to March 2017. Prior to that, he earned his Bachelor’s degree in Chemistry from Inner Mongolia University for Nationalities in July 2009. His academic training provided a strong foundation in chemical processes and materials innovation, which continues to drive his current research interests.

Experience 💼

Since April 2017, Dr. Zhang has been serving as a Lecturer at Liaoning Petrochemical University, where he contributes to both teaching and research in petrochemical and energy-related disciplines. Over the years, he has been actively involved in mentoring students, conducting laboratory research, and collaborating on interdisciplinary projects. His role enables him to bridge theoretical knowledge with practical applications in photocatalysis and energy conversion technologies.

Research Interests 🔬

Dr. Zhang’s research primarily revolves around the design and synthesis of high-performance photocatalysts for hydrogen production through water splitting. His work emphasizes noble metal-free materials, Schottky junction formation, band structure engineering, and defect modulation strategies to enhance charge separation and light absorption. His recent studies focus on hybrid materials like CoB/ZnCdS, Ni₃C/MnCdS, and g-C₃N₄ composites, which show promising results in clean energy applications such as seawater hydrogen evolution.

Awards 🏆

While specific awards or honors were not mentioned, Dr. Zhang’s consistent publication record in peer-reviewed international journals and his academic position at a recognized institution suggest significant professional recognition. Participating in national and international research initiatives and receiving funding support for energy research would further validate his academic excellence and research leadership.

Top Noted Publications 📚

1. Title: Modulating the electronic structure of CoB/Zn₀.₇Cd₀.₃S by introducing P for efficient hydrogen evolution
Authors: Xu T., Lao Y., Zhang Y., et al.
Citation: International Journal of Hydrogen Energy, Vol. 126, pp. 216–226
Index: SCI, Scopus
Year of Publication: 2025

2. Title: High-efficiency photocatalytic H₂-evolution in water/seawater over a novel noble metal free Ni₃C/Mn₀.₅Cd₀.₅S Schottky junction
Authors: Wang X., Ji S., Zhang Y., et al.
Citation: Journal of Colloid and Interface Science, Vol. 678, pp. 1043–1051
Index: SCI, Scopus
Year of Publication: 2025

3. Title: Precise defect engineering g-C₃N₄ fabrication to improve hydrogen production performance
Authors: Guo Y., Liu G., Yin W., et al.
Citation: Fuel, Vol. 362, Article No. 130743
Index: SCI, Scopus
Year of Publication: 2024

4. Title: Construction of CoB/Mn₀.₅Cd₀.₅S photocatalyst with Schottky junction: Effective charge separation and highly efficient H₂ evolution performance
Authors: Liu Y., Wang X., Shi L., et al.
Citation: International Journal of Hydrogen Energy, Vol. 51, pp. 531–539
Index: SCI, Scopus
Year of Publication: 2024

5. Title: Na, O co-doping and cyano groups synergistically adjust the band structure of g-C₃N₄ for improving photocatalytic oxygen evolution
Authors: Shi L., Liu G., Zhang Y., et al.
Citation: Materials Research Bulletin, Vol. 167, Article No. 112423
Index: SCI, Scopus
Year of Publication: 2023

Conclusion

In conclusion, Dr. Yushen Zhang stands out as a passionate and capable researcher with a clear vision for sustainable and practical energy solutions. His academic background, focused research, and scholarly contributions make him a strong candidate for recognition such as a Best Researcher Award. With further international collaborations and recognition of his achievements, Dr. Zhang is well-positioned to make lasting impacts in the field of photocatalysis and renewable energy.

Mr Fanyu Meng | Nonlinear Dependence | Best Researcher Award |

Posted on by ScienceFather

Mr. Fanyu Meng | Nonlinear Dependence | Best Researcher Award

ShanDong University, China.

Mr. Fanyu Meng, born in May 1998 in Jinan, Shandong Province, is a dedicated and emerging scholar in the field of quantitative economics and econometrics. A member of the Chinese Communist Party, he demonstrates a strong foundation in mathematics, statistics, and economic theory, combined with a growing research profile in econometric modeling and data science. He is currently pursuing his Ph.D. at Shandong University and is recognized for his intellectual rigor, methodological expertise, and academic excellence.

Professional Profile

Scopus

Education 🎓

Mr. Meng is currently enrolled in a direct-track doctoral program (Ph.D.) in Quantitative Economics at Shandong University (2022.09–2025.06). He previously completed his Master’s degree in Financial Mathematics and Financial Engineering at the same university from 2020 to 2022. His undergraduate studies were undertaken at Ocean University of China, where he earned a Bachelor of Science in Mathematics and Applied Mathematics from 2016 to 2020. This strong academic journey laid a robust foundation for his work in economic modeling and statistical analysis.

Experience 💼

Mr. Meng has actively participated in several high-level research projects. These include a national-level project on statistical theory and applications in multi-arm robotic game learning (2022–2024), funded by the National Bureau of Statistics. He also contributed to a fintech project on modern agricultural risk management (2020–2022), supported by the Jinan Municipal Science and Technology Bureau. Additionally, he was involved in the “Qingniao Plan” internship program with the Jinan Survey Team of the National Bureau of Statistics in 2020. These experiences have enriched his practical understanding of statistical theory and economic applications.

Research Interests 🔬

Mr. Meng’s research centers on econometric theory and applied econometrics, with a particular interest in time series analysis, panel data models, and structural change detection. He focuses on quantile-based methods, unobserved factor models, semiparametric techniques, and sparse estimation approaches. His work aims to uncover complex, nonlinear relationships within economic systems, contributing to both theoretical advancements and real-world policy modeling.

Awards 🏆

Throughout his academic career, Mr. Meng has received multiple honors. These include a Graduate Second-Class Scholarship and an Excellent Student Source Award during his doctoral studies. As an undergraduate, he was named a Shandong Province Outstanding Graduate, and was awarded several university-level scholarships such as the Shengwu Scholarship, Li Xiaoyong Scholarship, and honors for academic excellence and student leadership. His competitive achievements include prizes in the Shandong Mathematical Modeling Contest and the China Mathematical Modeling Competition.

Top Noted Publications 📚

Mr. Meng has authored peer-reviewed papers published in respected international journals. His article,

“Uncovering Nonlinear Dependencies in the Treasury-Funds Rate Spread: A Quantile-Based Explanation,”

appeared in Finance Research Letters (SSCI, Q1, 2025). Another co-authored paper on adaptive change point detection is set to be published in Communications in Statistics – Simulation and Computation (SCI, Q3, 2025). He is the corresponding author of a paper currently under external review, which applies Bootstrap entropy-weighted TOPSIS in the assessment of China’s provincial digital economy. He also has several ongoing working papers exploring advanced panel models, binary regression, and break estimation techniques.

Conclusion

Mr. Fanyu Meng represents a new generation of quantitatively skilled economists with a deep understanding of statistical modeling and data-driven economic analysis. His strong academic background, ongoing scholarly contributions, technical skills, and recognized potential make him a highly promising researcher. With continued publication and international collaboration, he is well-positioned to make significant contributions to the field of econometrics and quantitative economics.

Misbah Khan | Power engineering | Best Researcher Award

Posted on by ScienceFather

Dr. Misbah Khan | Power engineering | Best Researcher Award

Doctorate, at China university of mining and technology, Xuzhou, China.

Misbah Khan, Ph.D., is an accomplished researcher and academic based at China University of Mining and Technology, Xuzhou, China. She specializes in thermophysical properties, condensation, and molecular dynamics simulations, with a focus on refrigerants. Misbah completed her M.Sc. and M. Phil. in Physics from Government College University, Faisalabad, Pakistan, before pursuing a Ph.D. at Xi’an Jiaotong University, China, where her dissertation explored the condensation behavior of HFO refrigerants using molecular dynamics simulations. She now contributes her expertise as a postdoctoral researcher, continuously advancing the field with innovative insights into fluid dynamics and thermophysics. 🌍

Professional Profile

Scopus

ORCID

Education 🎓

Misbah Khan’s academic journey began with a Bachelor of Science in Physics from Government College University, Faisalabad, Pakistan. She continued her studies with a Master’s in Physics (M.Sc.), followed by an M.Phil. in Physics at the same institution. Seeking advanced specialization, Misbah joined Xi’an Jiaotong University in China, where she earned a Ph.D. in Power Engineering and Thermophysics (Energy & Power). Her dissertation focused on the thermophysical properties and condensation patterns of R450A refrigerants, based on molecular dynamics simulations. This work helped establish her as an emerging expert in computational physics and fluid dynamics. 📚

Experience 💼

Misbah Khan brings a blend of academic and practical experience in both teaching and research. She has worked as a lecturer of Physics at Superior College Jhang and Bright Eaglets Qurtuba College in Pakistan. In addition to teaching, Misbah has honed her technical skills through diplomas in Hardware Engineering and Information Technology. Her research expertise lies in molecular dynamics simulations, computational physics, and numerical simulations, particularly within the fields of refrigeration and thermodynamics. Since her postdoctoral appointment at China University of Mining and Technology, she has contributed extensively to international projects and research papers. 💡

Research Interests 🔬

Misbah’s research interests encompass several key areas within physics and thermodynamics. She focuses on the study of refrigerants as working fluids, investigating their condensation behaviors and thermophysical properties through molecular dynamics simulations. Her research also delves into the applications of computational physics, numerical simulations, and machine learning, aiming to enhance the performance of refrigerants and energy systems. Misbah is particularly interested in exploring the interplay between thermodynamics and molecular behavior, using cutting-edge computational techniques to solve real-world problems in energy efficiency and heat transfer. ⚙️

Awards 🏆

Misbah Khan’s academic achievements have been recognized through several prestigious awards. She received the Academic Research Award for the 2022-2023 academic year from Xi’an Jiaotong University, alongside an Excellent Student Award in 2020. Her remarkable performance also earned her the First Prize in the 2021 Fire Safety Knowledge Competition for International Students at Xi’an Jiaotong University. Misbah’s contributions to the field of thermodynamics were further supported by the China Government Scholarship for her Ph.D. studies. These accolades reflect her dedication to research and excellence in her field. 🌟

Top Noted Publications 📚

Misbah Khan has made significant contributions to the field of thermophysics and molecular dynamics through a series of impactful publications. Below is a list of her key articles:

Conclusion

Misbah Khan is highly deserving of the Research for Best Researcher Award due to her remarkable academic achievements, the originality and impact of her research, and her dedication to advancing thermophysical research. Her work is not only scientifically rigorous but also carries potential for significant advancements in the refrigeration and energy industries. With her proven track record of publications, awards, and academic recognition, Misbah stands out as a leading researcher in her field. Further broadening her research scope and industry involvement would enhance her already impressive profile.

Xiaotao Ren | Mathematics | Best Researcher Award

Posted on by ScienceFather

Mr. Xiaotao Ren | Mathematics | Best Researcher Award 

Lecturer, at Shanxi Vocational University of Engineering Science and Technology, China.

Ren Xiaotao is a dedicated researcher and lecturer specializing in systems control and nonlinear systems identification. He is currently serving as a Lecturer at the School of Equipment Engineering, Shanxi Vocational University of Engineering Science and Technology, since 2024. Ren has developed significant expertise in the recursive identification of nonlinear systems, adaptive regulation, and event-triggered observations. His academic journey includes a Ph.D. from the University of Chinese Academy of Sciences, where he worked at the Key Laboratory of Systems and Control. Ren is passionate about advancing systems science through innovative approaches to control theory, and his work contributes to both theoretical and practical advancements in the field of systems and control. 🌟📚

Professional Profile

Scopus

ORCID

Education

Ren Xiaotao’s educational background is rooted in systems and control theory. He completed his Ph.D. at the University of Chinese Academy of Sciences (2018-2024) in the Key Laboratory of Systems and Control. His M.Sc. (2016-2018) also focused on systems and control within the same laboratory, where he began his research in nonlinear system identification. Ren’s academic journey began with a B.Sc. from North China Electric Power University (2012-2016), where he gained foundational knowledge in electrical engineering. His robust education prepared him for an academic career, and his doctoral research has led to substantial contributions to the field of systems science and control. 🎓🔬

Experience

Ren Xiaotao’s professional experience includes both academic and research positions. He is currently a Lecturer at the School of Equipment Engineering at Shanxi Vocational University of Engineering Science and Technology, a position he has held since 2024. Prior to this, Ren’s work as a Ph.D. student at the University of Chinese Academy of Sciences allowed him to contribute significantly to various research projects on nonlinear systems identification and adaptive regulation. He has worked on cutting-edge topics involving event-triggered observations, providing him with expertise in the intersection of control systems and data-driven methods. Ren’s experiences in both teaching and research have equipped him with a strong foundation in systems science. 🧑‍🏫🖥️

Research Interests

Ren Xiaotao’s research interests are primarily focused on systems control, nonlinear systems identification, and adaptive regulation. He is particularly interested in recursive identification of nonlinear nonparametric systems under event-triggered observations, exploring new methods for improving the efficiency and accuracy of system identification. Additionally, his work addresses adaptive regulation techniques for Hammerstein and Wiener systems, as well as the development of novel variable selection approaches for nonlinear systems. Ren aims to push the boundaries of control theory through his research, contributing to both academic knowledge and practical applications in industrial systems and automation. 📡🔧

Awards

Ren Xiaotao has received recognition for his contributions to the field of systems science. Notably, his work on adaptive regulation and system identification has garnered attention at international conferences such as the IEEE Conference on Decision and Control. His innovative approaches have positioned him as a promising young researcher in the field, and he is expected to continue receiving accolades for his work. Ren’s research has been consistently cited, further solidifying his impact on the field of nonlinear systems and control theory. 🏆🌍

Top Noted Publications

Ren Xiaotao has authored several influential publications in reputable journals and conferences. His work spans a range of topics in systems control, nonlinear system identification, and adaptive regulation. Notable publications include:

  • Ren, Xiaotao, Zhao, Wenxiao, Zhang, Han:
    Title: Recursive identification of nonlinear nonparametric systems under event-triggered observations
    Journal: Systems & Control Letters
    Year: 2025
    Volume: 196
    Article Number: 106013
    Link: (Not provided)

  • Ren, Xiaotao, Zhao, Wenxiao, Gao, Jinwu:
    Title: Adaptive Regulation for Hammerstein and Wiener Systems with Event-Triggered Observations
    Journal: Journal of Systems Science & Complexity
    Year: 2023
    Volume: 36, Issue 5
    Pages: 1878-1904
    Link: (Not provided)

  • Ren, Xiaotao, Zhao, Wenxiao, Gao, Jinwu:
    Title: New Approach to Variable Selection for Nonparametric Nonlinear Systems
    Conference: 62nd IEEE Conference on Decision and Control
    Location: Marina Bay Sands, Singapore
    Month/Year: December 2023
    Link: (Not provided)

Conclusion

Ren, Xiaotao is a highly qualified candidate for the Best Researcher Award, based on his strong educational foundation, innovative research contributions, and engagement with the academic community. His research in systems control, particularly in nonlinear systems and event-triggered observations, is highly relevant to current advancements in control theory and its applications. While there is room for improvement in expanding his research collaborations and exploring a wider array of topics, his current achievements make him a deserving candidate for this prestigious award.

Yasser Rajabi | Materials Science | Best Researcher Award

Posted on by ScienceFather

Assist. Prof. Dr. Yasser Rajabi | Materials Science | Best Researcher Award

Faculty member, at Damghan university, Iran.

Dr. Yasser Rajabi is an Assistant Professor of Physics specializing in Optics and Lasers at Damghan University, Iran. With over 15 years of experience in experimental optics, his research spans atmospheric turbulence, nonlinear optics, interferometry, and optical metrology. He earned his Ph.D. in Physics-Optics from the Institute for Advanced Studies in Basic Sciences (IASBS), Zanjan, where he ranked first in his cohort. Dr. Rajabi is known for his hands-on work in laboratory development, launching advanced optics and laser labs at Damghan University. His scholarly contributions include significant publications in top-tier journals and active participation in international scientific programs. Apart from academia, he collaborates with knowledge-based companies to design and develop precision optical instruments. His teaching includes a broad range of courses in optics engineering, and he has earned accolades for excellence in teaching and research.

Professional Profile

Scopus

ORCID

Google Scholar

🎓 Education

Dr. Yasser Rajabi’s academic journey began with a B.Sc. in Applied Physics from Ferdowsi University of Mashhad (2002–2006). He continued with an M.Sc. in Physics-Optics (2007–2010) at IASBS, focusing on self-imaging and the Talbot effect, a phenomenon crucial to optical spectrometry. His thesis received high honors, attracting attention from Sony Ltd. His doctoral research (2010–2015), also at IASBS, explored atmospheric turbulence using differential angle of arrival and phase structure functions, culminating in an “Excellent” mark. His innovative methodology challenged the Kolmogorov model and proposed advanced modeling of turbulence behavior using telescope aperture data. Throughout his academic path, Dr. Rajabi consistently ranked first among his peers and demonstrated excellence in theoretical and experimental optics. His educational foundation is further strengthened by pre-university and high school training in exceptional talent centers in South Khorasan, Iran.

💼 Experience

Dr. Rajabi currently serves as Assistant Professor of Physics at Damghan University, where he leads optics-related courses and oversees the General Physics Laboratory. He has established two major teaching labs—Laser Lab and Advanced Optics Lab—enhancing research opportunities for both undergraduate and postgraduate students. As an educator, he pioneered multiple courses in optics engineering and applied optics. His hands-on expertise spans designing interferometric setups (e.g., Z-scan, Michelson, Fabry-Perot), holography systems, and Moiré deflectometry. In addition to academic roles, he actively collaborates with knowledge-based companies on the development of optical devices and instruments. He also contributed to international knowledge exchange through ICTP’s Winter Colleges on Optics (2013, 2015) and workshops led by leading global physicists. With over 15 years in optical experimentation and a commitment to educational innovation, Dr. Rajabi has earned recognition as one of the university’s top educators.

🔬 Research Interest

Dr. Rajabi’s research interests are deeply rooted in both classical and modern optics. His work on atmospheric turbulence and deviation from the Kolmogorov model has contributed new insights into the nature of wave propagation through turbulent media. His expertise covers nonlinear optics, optical metrology, interferometry, Moiré techniques, Talbot effect applications, fringe analysis, and CCD spectral analysis. He is also engaged in quantum turbulence and biophysics. His approach often combines analytical modeling with experimental validation, especially in wavefront sensing and refractive index measurements. He has investigated laser interaction with nanofluids, thermal lensing, and enhanced optical properties of nanocomposites. His efforts not only support scientific advancement but also lead to real-world applications such as lens testing and spectrometry. Dr. Rajabi continues to explore how light interacts with materials and turbulent systems, making significant contributions to both fundamental optics and applied photonics.

🏆 Awards

Dr. Rajabi has earned numerous awards and recognitions throughout his academic career. Notably, he was the Top Rank Ph.D. entrance exam candidate at IASBS and maintained the first rank among Ph.D. students in Optics and Lasers, with a GPA of 18.55/20. He was also an Outstanding Graduate Student in M.Sc. and Ph.D., and earned the title of Top Student in B.Sc. at Ferdowsi University. In 2019, he was honored as the Outstanding University Professor in Teaching at Damghan University. His undergraduate and graduate admissions were through the highly competitive Iranian National University Entrance Examination, ranking among the top 10%. His contributions have also been internationally recognized through participation in ICTP Winter Colleges and international optics workshops. His early research even attracted attention from Sony Ltd. for its potential application in imaging devices.

📚Top Noted Publications

Here is a list of Dr. Rajabi’s major scientific publications, along with their publication years, journals, and citation details:

  • Accurate Determination of Oscillating Mass Displacement in Seismometry using the Moiré Technique

    • Journal: Instruments and Experimental Techniques

    • Year: 2022

    • Focus: Application of the Moiré technique to measure minute displacements in seismometric systems, enhancing precision in detecting ground vibrations.

  • Thermal Lensing Effect in Laser-Nanofluids

    • Journal: Journal of Electronic Materials

    • Year: 2021

    • Focus: Investigates the influence of thermal lensing in nanofluids under laser irradiation, examining how nanoparticle concentration affects the focal properties of laser beams.

  • Influence of Preparation Method on Optical Properties of TiN Nanoparticles

    • Journal: Journal of Materials Science: Materials in Electronics

    • Year: 2021

    • Focus: Examines how synthesis methods impact the optical absorption and scattering behaviors of titanium nitride (TiN) nanoparticles for optoelectronic applications.

  • Nonlinear Optical Properties of Poly(aniline-co-pyrrole)@ZnO

    • Journal: Optical Materials

    • Year: 2020

    • Focus: Reports third-order nonlinear optical measurements of a conducting polymer-ZnO nanocomposite, highlighting enhanced nonlinearities for photonic switching.

  • Nonlinear Refractive Index of Graphene Oxide–Silicon Oxide Nanocomposites

    • Journal: Journal of Nonlinear Optical Physics & Materials

    • Year: 2019

    • Focus: Describes nonlinear refractive index studies using Z-scan technique for GO–SiO₂ nanocomposites, useful in optical limiting and waveguide development.

  • Enhanced Nonlinear Optical Properties of ZnO:WO₃ Nanocomposites

    • Journal: Journal of Nanophotonics

    • Year: 2019

    • Focus: Demonstrates the synergistic enhancement in third-order nonlinearity by doping ZnO with WO₃, explored via femtosecond laser techniques.

  • Inhomogeneity of Atmospheric Turbulence at Day and Night

    • Journal: Optics & Laser Technology

    • Year: 2016

    • Focus: Comparative study of atmospheric turbulence anisotropy under different thermal and radiative conditions, with implications for laser communication systems.

  • Measuring Anisotropy in Atmospheric Turbulence by Moiré Deflectometry

    • Journal: Journal of Applied Fluid Mechanics

    • Year: 2014

    • Focus: Introduces Moiré deflectometry for evaluating directional variations in turbulence parameters, validating results with fluid dynamic models.

  • Effective Focal Length of Lens via Parallel Moiré Deflectometry

    • Journal: Optics and Lasers in Engineering

    • Year: 2013

    • Focus: Proposes a precise method to determine the focal length of conventional lenses using parallel Moiré fringe patterns for real-time monitoring.

  • Effective Focal Length of Microlens using Rotational Moiré Deflectometry

    • Conference: Iranian Optics Conference

    • Year: 2013

    • Focus: Describes a new approach for focal length measurement of microlenses using rotational Moiré gratings, enhancing spatial resolution for micro-optics.

Conclusion

Dr. Yasser Rajabi demonstrates exceptional scientific rigor, innovation, and dedication in the fields of optics and photonics, with a rich academic background, multiple peer-reviewed publications, and a clear impact on research and education infrastructure. His ability to conceptualize and lead experimental physics projects, develop new labs, and contribute to national research puts him among the top-tier researchers in his domain.

Zeng Meng | Engineering | Best Researcher Award

Posted on by ScienceFather

Prof. Zeng Meng | Engineering | Best Researcher Award

Professor, at Hefei university of technology, China.

Professor Meng Zeng is a leading academic at Hefei University of Technology, specializing in the optimization of uncertain structures, aerospace and civil structural design, and structural topology optimization. With a sharp focus on engineering innovation, Prof. Zeng has guided over 20 funded projects, including prestigious grants from the National Natural Science Foundation of China. Recognized as an Outstanding Youth of Anhui Province, he is celebrated for his dedication to scientific progress. His excellence is marked by receiving two first-class Science & Technology Progress Awards from the Anhui Society of Mechanics. From 2021 to 2024, he has been consistently listed among the world’s top 2% scientists and is a highly cited author in the journal Computers & Structures. 📚 He has authored 90+ SCI papers, including 50+ as the first or corresponding author. His work has received over 4,200 citations, with 8 ESI highly cited papers and 3 hot papers. 🌟

Professional Profile

Scopus

ORCID

🎓 Education

Professor Meng Zeng earned his academic credentials with distinction in civil and structural engineering. Though detailed records of his academic institutions are not publicly specified, his educational background reflects a strong foundation in mechanics and structural design, which paved the way for his current leadership in aerospace and civil engineering innovation. Throughout his education, Prof. Zeng focused on uncertainty modeling, computational mechanics, and optimization techniques, equipping him with the analytical expertise required for cutting-edge structural analysis. His academic training has fostered a mindset geared toward solving real-world engineering problems using theoretical rigor and computational sophistication. 🎓 As an educator and mentor, he now imparts this rich knowledge base to his students and research collaborators at Hefei University of Technology. His journey from a dedicated student to a globally recognized professor exemplifies the impact of solid academic preparation in shaping research excellence. 💼

💼 Experience

Professor Meng Zeng currently serves as a professor at Hefei University of Technology, where he leads research in structural optimization and engineering mechanics. With over 20 funded projects, his contributions span across the National Natural Science Foundation of China (NSFC), including two general and two youth projects. 🏗️ He has applied his research expertise to both aerospace and civil structure applications, combining theory with practical innovations. His role encompasses research leadership, postgraduate supervision, and national-level project management. His accolades from Anhui Society of Mechanics, including two first prizes in scientific and technological progress, affirm his high impact on the engineering community. 🏆 Prof. Zeng also represents China in international research through his involvement in peer-reviewed journals and collaborations. A consistent presence in the top 2% of global scientists (2021–2024), his work shapes modern methodologies in topology optimization and structural resilience under uncertain conditions. 🧠

🔬 Research Interest 

Prof. Meng Zeng’s research interests lie at the intersection of engineering mechanics and computational optimization. His primary focus is on the optimization of uncertain structures, where he develops methods to enhance structural performance despite variations in material properties or loading conditions. 🚀 He is also deeply involved in aerospace and civil structure analysis, contributing to safer and more efficient designs. Prof. Zeng is renowned for his work in structural topology optimization, an area that determines the optimal material layout within a given design space, a key element in lightweight and high-performance structural engineering. 🔧 His research integrates probabilistic methods, finite element analysis, and machine learning algorithms to solve complex, real-world problems. As a thought leader, Prof. Zeng not only advances theoretical mechanics but also offers transformative insights for engineering design under uncertainty, positioning him at the forefront of innovation in applied structural optimization. 📈

🏅 Awards

Professor Meng Zeng’s academic excellence and scientific innovation have earned him numerous accolades. Notably, he was selected as an Outstanding Youth of Anhui Province, a recognition of his early-career contributions to engineering science. 🏆 He has received two First-Class Science and Technology Progress Awards from the Anhui Society of Mechanics, underscoring the high societal and technological value of his work. Between 2021 and 2024, Prof. Zeng was consecutively listed among the world’s top 2% scientists, a global benchmark of research excellence. Additionally, he is a highly cited author in the prestigious journal Computers & Structures, highlighting the global reach and influence of his research. 🌟 These awards are a testament to his impact on both fundamental research and practical engineering applications, positioning him as a top-tier scientist and thought leader in the field of structural mechanics and optimization. 🎖️

📚 Top Noted Publications

Professor Meng Zeng has published over 90 peer-reviewed SCI papers, with more than 50 as first or corresponding author. His work is widely cited, having accumulated over 4,200 Google Scholar citations. He has contributed 8 ESI Highly Cited Papers and 3 Hot Papers, affirming his global academic influence. 🔍 His research often appears in top journals such as:

  1. Reliability-Based Topology Optimization (RBTO):

    • Articles:

      • Data-driven RBTO using extended multiscale FEM and neural networks

      • RBTO for continuum structures with nonlinear dynamics

      • Stress-constrained RBTO with fidelity transformation method

    • Highlights: Use of machine learning (e.g., neural networks), multiscale finite element modeling, and probabilistic analysis to optimize structural performance under uncertainty.

  2. Dynamic and Transient Response in Optimization:

    • Articles:

      • Transient dynamic topology optimization using equivalent static loads

      • Uncertainty-oriented topology optimization of dynamic structures

    • Highlights: Focus on efficient dynamic response prediction and hybrid uncertainties (probabilistic + spatial/random field modeling).

  3. Metaheuristic and Bio-Inspired Algorithms:

    • Article:

      • Starfish Optimization Algorithm (SFOA) – Compared with 100 optimizers.

    • Highlights: Development of novel optimization algorithms inspired by biological behaviors; applied to structural or global optimization problems.

  4. Concurrent Topology and Material Design:

    • Article:

      • Concurrent optimization of topology and fiber orientation under stress constraints

    • Highlights: Combines material orientation (like composite fibers) with shape optimization for optimal mechanical performance.

  5. Uncertainty Quantification Techniques:

    • Article:

      • Weight index-based uniform partitioning of multi-dimensional probability space

    • Highlights: Proposes a novel method to efficiently sample and compute in high-dimensional uncertainty spaces.

  6. Materials & Structural Systems Innovation:

    • Articles:

      • Porous functionally graded composite plates with graphene reinforcements

      • Non-uniform rectangular honeycomb sandwich panel

    • Highlights: Focus on lightweight, high-strength materials and sandwich structures for performance and efficiency.

Conclusion

Professor Meng Zeng is a highly suitable candidate for the Best Researcher Award. His extensive research output, impactful publications, strong citation record, and recognition at national and international levels highlight a career marked by innovation, consistency, and academic leadership. With minor improvements in global engagement and interdisciplinary expansion, he stands out as a role model for excellence in engineering research.

Prof Joel Horowitz | Economics | Best Researcher Award |

Posted on by ScienceFather

Prof. Joel Horowitz | Economics | Best Researcher Award

Professor , at Northwestern University,United States

Prof. Joel L. Horowitz is a distinguished economist and expert in econometrics, with a long and impactful career spanning over five decades. He is the Charles E. and Emma H. Morrison Professor of Economics at Northwestern University and has made substantial contributions to the field of econometrics through his research on nonparametric and semiparametric methods. Known for his profound insights into econometric modeling, Prof. Horowitz has influenced both the academic and professional landscapes of economics globally.

profile

Scopus

Google scholar

Education

Prof. Horowitz earned his Ph.D. in Physics from Cornell University in 1967, which laid the foundation for his analytical and quantitative approach in economics. He also holds a B.S. in Physics from Stanford University, completing his undergraduate studies in 1962. His strong background in physics has played a significant role in shaping his contributions to econometrics and statistical methods.

Experience

Prof. Horowitz has had a distinguished academic career, serving as the Charles E. and Emma H. Morrison Professor of Economics at Northwestern University since 2001. Prior to this, he was a professor at the University of Iowa, where he also held the Henry B. Tippie Research Professor of Economics role from 1997. His professional journey includes significant work in operations research as a Senior Operations Research Analyst at the U.S. Environmental Protection Agency, and technical roles at the Research Analysis Corporation. Prof. Horowitz has been a visiting professor at numerous prestigious institutions, including Hong Kong University of Science and Technology, University College London, and the Massachusetts Institute of Technology.

Research interest

Prof. Horowitz’s research primarily focuses on econometrics, with particular expertise in semiparametric and nonparametric methods. His work addresses high-dimensional econometric models, variable selection, and estimation techniques. He has made groundbreaking contributions in the application of these methods to economic modeling and policy analysis. Additionally, his studies have impacted urban transportation planning and environmental economics, particularly in air quality analysis.

Awards

Throughout his career, Prof. Horowitz has received numerous accolades, recognizing his outstanding contributions to the field of econometrics. He was awarded the Alexander von Humboldt Research Award in 1999 and is a Fellow of both the Econometric Society and the American Statistical Association. He has also been elected a National Associate of the National Academies and received an honorary doctorate from Humboldt Universität zu Berlin. His recognition extends to various professional societies, including the International Statistical Institute and the International Association for Applied Econometrics.

Publications

Fairness in simple bargaining experiments
Authors: R Forsythe, JL Horowitz, NE Savin, M Sefton
Citations: 3194
Journal: Games and Economic Behavior
Volume: 6
Issue: 3
Pages: 347-369
Year: 1994

Implementing climate and global change research: A review of the final US Climate Change Science Program strategic plan
Authors: National Research Council, Division on Engineering, Physical Sciences, et al.
Citations: 1575*
Publisher: National Academies Press
Year: 2004

The bootstrap
Author: JL Horowitz
Citations: 1236
Journal: Handbook of Econometrics
Volume: 5
Pages: 3159-3228
Year: 2001

On blocking rules for the bootstrap with dependent data
Authors: P Hall, JL Horowitz, BY Jing
Citations: 825
Journal: Biometrika
Volume: 82
Issue: 3
Pages: 561-574
Year: 1995

A smoothed maximum score estimator for the binary response model
Author: JL Horowitz
Citations: 800
Journal: Econometrica: Journal of the Econometric Society
Pages: 505-531
Year: 1992

Conclusion

Prof. Joel Horowitz is a highly accomplished and globally recognized economist whose work has had a lasting impact on econometrics and economics as a whole. His extensive academic career, coupled with his numerous honors and substantial contributions to research, makes him a highly deserving candidate for the Best Researcher Award. His groundbreaking research in semiparametric and nonparametric econometrics has reshaped how economists approach data and modeling, and his continued involvement in top-tier academic institutions and professional societies underscores his enduring influence in the field.

Dr Francesco Romor | Numerical analysis | Best Researcher Award |

Posted on by ScienceFather

Dr. Francesco Romor | Numerical analysis | Best Researcher Award

Postdoctoral researcher , at Weierstrass Institute,Germany

Dr. Francesco Romor is a postdoctoral researcher at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) in Berlin, Germany. He works within the Numerical Mathematics and Scientific Computing research group led by Prof. Volker John. His expertise lies in advanced computational methods, scientific machine learning, and mathematical modeling with applications spanning from fluid dynamics to medical image analysis. Known for combining mathematical rigor with modern machine learning techniques, Dr. Romor is establishing himself as a leading voice in the next generation of scientific computing experts.

profile

Scopus

Education

Dr. Romor earned his Ph.D. in Mathematical Analysis, Modeling, and Applications from the International School for Advanced Studies (SISSA), Trieste, Italy, in 2023. His doctoral research, supervised by Prof. Gianluigi Rozza, focused on “Nonlinear Parameter Space and Model Order Reductions enhanced by Scientific Machine Learning.” He previously obtained a Master’s degree in Mathematics (2019) and a Bachelor’s degree in Mathematics (2017), both with the highest honors (110/110 cum laude) from the University of Trieste. His academic path reflects a strong and consistent foundation in theoretical and applied mathematics.

Experience

Since November 2023, Dr. Romor has been serving as a postdoctoral researcher at WIAS, where he collaborates closely with experts such as Dr. Alfonso Caiazzo. In 2023, he completed a short research visit to the Massachusetts Institute of Technology (MIT) as part of the MISTI MIT-Italy FVG Project, working with Prof. Youssef Marzouk. His professional engagements reflect a growing international footprint and recognition in high-level research environments.

Research interest

Dr. Romor’s research centers on reduced-order modeling, nonlinear parameter space reduction, scientific machine learning, and high-dimensional numerical simulations. He is particularly interested in hybridizing classical numerical methods with deep learning tools, such as convolutional autoencoders and graph neural networks, to solve complex partial differential equations (PDEs) efficiently. His recent work extends to data assimilation in biomedical applications, including modeling aortic coarctation using shape registration and neural networks. These innovations push the boundary of how science and AI can co-evolve for real-world problem-solving.

Awards

While specific awards are not listed, Dr. Romor’s profile includes significant professional recognitions. These include being selected for a prestigious research visit to MIT and multiple invitations to speak at international conferences such as ECCOMAS, SIAM CSE, and AICOMAS. Such invitations are indicators of esteem within the scientific community and recognition of his impactful contributions.

Publications

1. Friedrichs’ systems discretized with the DGM: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions
Authors: Francesco Romor, Davide Torlo, Gianluigi Rozza
Journal: Journal of Computational Physics
Article ID: 113915
Year: 2025

2. Explicable hyper-reduced order models on nonlinearly approximated solution manifolds of compressible and incompressible Navier-Stokes equations
Authors: Francesco Romor, Giovanni Stabile, Gianluigi Rozza
Journal: Journal of Computational Physics
Volume: 524, Article ID: 113729
Year: 2025

3. Generative Models for the Deformation of Industrial Shapes with Linear Geometric Constraints: model order and parameter space reductions
Authors: Guglielmo Padula, Francesco Romor, Giovanni Stabile, Gianluigi Rozza
Journal: Computer Methods in Applied Mechanics and Engineering
Volume: 423, Article ID: 116823
Year: 2024

4. A local approach to parameter space reduction for regression and classification tasks
Authors: Francesco Romor, Marco Tezzele, Gianluigi Rozza
Journal: Journal of Scientific Computing
Volume: 99, Issue: 3, Article ID: 83
Year: 2024

5. Non-linear Manifold Reduced-Order Models with Convolutional Autoencoders and Reduced Over-Collocation Method
Authors: Francesco Romor, Giovanni Stabile, Gianluigi Rozza
Journal: Journal of Scientific Computing
Volume: 94, Article ID: 74
Year: 2023
DOI: 10.1007/s10915-023-02128-2

Conclusion

In summary, Dr. Francesco Romor exemplifies the qualities of a forward-thinking and high-impact researcher in computational science. With a strong mathematical foundation, international experience, innovative applications of machine learning, and a robust publication record, he is well-positioned for prestigious research honors and academic recognition. His work not only advances numerical methods but also connects disciplines—from automotive engineering to biomedical modeling—making him a valuable asset to the global research community.

Prof. Dr ALEN JUGOVIC | TECHNOLOGY | Best Researcher Award |

Posted on by ScienceFather

Prof. Dr. ALEN JUGOVIC | TECHNOLOGY | Best Researcher Award

FULL PROFESSOR , at University of Rijeka, Faculty of Maritime Studies,Croatia

Prof. Dr. Alen Jugović is a distinguished Croatian academic and maritime economist with a profound impact in the field of port systems, maritime transport, and logistics. With over two decades of experience in higher education, research, and strategic project leadership, he is a full professor at the University of Rijeka, Faculty of Maritime Studies, where he also served as Dean from 2016 to 2022. His leadership and academic vision have significantly advanced maritime education and research infrastructure both in Croatia and across the Adriatic region.

profile

Scopus

Orcid

Google scholar

Education

Prof. Jugović holds a Ph.D. in Maritime Economics, with his doctoral work focused on economics of infrastructure projects in ports and port systems development. His education blends strong theoretical foundations with practical insight into the maritime transport sector. He has further honed his expertise through continuous collaboration with leading academic institutions and participation in inter-university doctoral programs.

Experience

Prof. Jugović has a rich professional background that combines academic excellence with institutional leadership. From 2016 to 2022, he served as Dean of the Faculty of Maritime Studies, overseeing academic programs, research initiatives, and administrative reforms. Previously, he held the position of Vice Dean for Finance (2013–2016). He has taught key courses such as Maritime Economics, Port Business, Passenger Traffic, and Entrepreneurship, and has been a guest lecturer at universities across Croatia. He has led or participated in over 90 strategic and expert projects, including EU-funded IPA cross-border cooperation programs like PROMARES, MIMOSA, and FRAMESPORT.

In addition, he is the founder of the Maritime Science and Technology Research Hub (MASTER Hub), a cutting-edge facility hosting labs in virtual reality, refrigeration technology, materials, and cognitive neuroscience. He also established educational centers and foundations supporting student excellence and social equity.

Research interest

Prof. Jugović’s research revolves around maritime economics, port business management, passenger maritime transport, and entrepreneurship in logistics. He is especially recognized for his work on infrastructure development, multimodal transport systems, and innovation in port operations. His interdisciplinary approach bridges economic theory with operational and policy-driven maritime logistics, making his work highly applicable to both academia and industry.

Awards

In 2021, he was honored with a national award from the Ministry of Sea, Traffic, and Infrastructure for his outstanding contribution to the development and international reputation of Croatian maritime transport. This recognition reflects his longstanding influence and thought leadership in shaping the future of the shipping and port industries.

Publications

“Seaports and Economic Growth: Panel Data Analysis of EU Port Regions”
Authors: G. Mudronja, A. Jugović, D. Škalamera-Alilović
Published in Journal of Marine Science and Engineering, Vol. 8(12), 2020
Citations: 81

“Menadžement pomorskoputničkih luka”
Authors: B. Kesić, A. Jugović
Published in 2006
Citations: 76

“Factors Influencing the Formation of Freight Rates on Maritime Shipping Markets”
Authors: A. Jugović, N. Komadina, A. Perić Hadžić
Published in Pomorstvo, Vol. 29(1), 2015
Citations: 74

“Sustainable Development Model for Nautical Tourism Ports”
Authors: A. Jugović, M. Kovačić, A. Hadžić
Published in Tourism and Hospitality Management, Vol. 17(2), 2011
Citations: 72

“A Study on Cyber Security Threats in a Shipboard Integrated Navigational System”
Authors: B. Svilicic, I. Rudan, A. Jugović, D. Zec
Published in Journal of Marine Science and Engineering, Vol. 7(10), 2019
Citations: 66

Conclusion

Prof. Dr. Alen Jugović stands out as a leading academic figure in maritime economics and port systems management. His combined expertise in research, education, and institutional leadership has helped shape national policies, modernize educational infrastructure, and contribute meaningfully to international collaborations. With a rare blend of theoretical insight, practical knowledge, and innovation leadership, he is a deserving candidate for any prestigious academic or research excellence award in the fields of transport economics, maritime studies, and sustainable infrastructure development.