Jian-Gen Liu | Mathematical Statistics | Innovative Research Award

Innovative Research Award

Jian-Gen Liu
Affiliation Suzhou University of Technology
Country China
Scopus ID 57192912165
Documents 75
Citations 1355
h-index 24
Subject Area Mathematical Physics
Event World Statistics Awards

Jian-Gen Liu,
Suzhou University of Technology

Jian-Gen Liu is affiliated with Suzhou University of Technology, China, and has established an academic profile in Mathematical Physics through peer-reviewed publications and scholarly collaborations. His research portfolio demonstrates sustained scientific productivity and measurable citation impact, supporting recognition through the World Statistics Awards. [1]

Abstract

This article presents an overview of Jian-Gen Liu’s academic achievements, publication record, citation performance, and research influence within Mathematical Physics. The profile summarizes scholarly productivity and highlights evidence supporting consideration for the Innovative Research Award presented through the World Statistics Awards. [1] [2]

Keywords

Mathematical Physics, Scientific Research, Scholarly Publications, Citation Analysis, Scopus Author, Research Excellence, Academic Impact, Innovative Research Award, World Statistics Awards. [1]

Introduction

Jian-Gen Liu has contributed to mathematical physics through theoretical investigations and peer-reviewed publications. His scholarly activities demonstrate consistent academic engagement, interdisciplinary collaboration, and measurable research visibility. Citation indicators and publication output reflect sustained contributions supporting international academic recognition and professional distinction. [1] [2]

Research Profile

Affiliated with Suzhou University of Technology, Jian-Gen Liu maintains a recognized Scopus author profile featuring seventy-five indexed publications, over one thousand citations, and an h-index of twenty-four. These metrics indicate continuous scientific productivity and broad scholarly engagement across mathematical physics research. [1] [3]

Research Contributions

His research contributions include advancing mathematical modeling, analytical methods, and theoretical approaches applicable to complex physical systems. Published investigations have supported scientific understanding, encouraged interdisciplinary collaboration, and provided valuable references for researchers working within mathematical and computational sciences. [2]

Publications

The publication portfolio contains peer-reviewed journal articles indexed in major scientific databases. These works demonstrate methodological rigor, research consistency, and international dissemination. Several publications include Digital Object Identifiers, ensuring accessibility, citation reliability, and long-term scholarly referencing within the academic community. [2]

Research Impact

The documented citation count and h-index indicate that Jian-Gen Liu’s publications have influenced subsequent scientific studies. His research output contributes to knowledge development, strengthens academic discourse, and demonstrates continuing relevance within mathematical physics and associated interdisciplinary research fields. [1] [3]

Award Suitability

Based on documented scholarly achievements, publication quality, citation performance, and measurable research influence, Jian-Gen Liu satisfies important academic considerations for the Innovative Research Award. His sustained scientific productivity reflects the principles of excellence, integrity, innovation, and international research contribution. [1]

Conclusion

Jian-Gen Liu’s academic record illustrates continuous research development, recognized publication performance, and meaningful scientific influence. Available bibliometric indicators support acknowledgement of his scholarly accomplishments while emphasizing continued contributions to mathematical physics through internationally visible and peer-reviewed research activities. [1] [2]

References

  1. Elsevier. (n.d.). Scopus author details: Jian-Gen Liu, Author ID 57192912165.

    https://www.scopus.com/pages/authors/57192912165

  2. Liu, J., & Tian, K. (2026). Formulation, symmetry analysis and solutions for the time fractional thin film-type equation. Journal of Geometry and Physics

    https://www.sciencedirect.com/science/article/abs/pii/S0393044026001737?via%3Dihub

  3. World Statistics Awards. (n.d.). Award Information and Nomination Guidelines.

    https://statisticsaward.com

Yu Wang | Operations Research and Statistical Optimization | Innovative Research Award

Innovative Research Award

Yu Wang,
Shanghai Normal University

Yu Wang
Affiliation Shanghai Normal University
Country China
Scopus ID 55458238700
Documents 66
Citations 654
h-index 14
Subject Area Algebra
Event World Statistics Awards
ORCID 0000-0002-7837-3988

The Innovative Research Award recognizes scholarly excellence by highlighting researchers whose sustained academic contributions demonstrate originality, measurable research impact, and international visibility. Yu Wang’s documented work in algebra provides an academic profile suitable for consideration within the World Statistics Awards framework.[1]

Abstract

Yu Wang is an algebra researcher affiliated with Shanghai Normal University whose scholarly output demonstrates sustained publication activity, measurable citation performance, and recognized academic influence. This article summarizes research achievements, publication record, research impact, and award suitability using publicly available scholarly information.[1]

Keywords

Algebra, Mathematical Research, Scholarly Publications, Scopus, Citation Analysis, Research Excellence, Academic Recognition, Innovative Research Award.

Introduction

Yu Wang conducts research in algebra with emphasis on advancing theoretical mathematics through peer-reviewed investigations. Academic productivity, citation performance, and international dissemination collectively reflect sustained scholarly engagement. These measurable indicators support objective evaluation of research quality and professional recognition within established academic assessment frameworks.[2]

Research Profile

Affiliated with Shanghai Normal University, Yu Wang has authored sixty-six indexed publications and accumulated more than six hundred citations. An h-index of fourteen indicates consistent scholarly influence across algebra research while demonstrating active participation in internationally indexed scientific literature databases.[1]

Research Contributions

Research contributions focus on advancing algebraic theory through rigorous mathematical analysis, collaborative investigations, and publication in recognized scholarly journals. The work enhances understanding of algebraic structures while providing valuable references for subsequent theoretical developments and future interdisciplinary mathematical studies.[3]

Publications

The publication portfolio includes sixty-six Scopus-indexed documents distributed across peer-reviewed journals and collaborative research articles. These publications demonstrate continued academic productivity, methodological consistency, and contributions to mathematical scholarship supported by persistent citation activity within the international research community.[1]

Research Impact

Citation metrics exceeding six hundred references indicate that Yu Wang’s research has received meaningful scholarly attention. Continued citation growth and an established h-index reflect sustained academic relevance, supporting the influence of published findings within algebra and related mathematical research disciplines.[1]

Award Suitability

Available scholarly indicators demonstrate a balanced combination of publication productivity, citation performance, institutional affiliation, and research continuity. These objective achievements align with common academic evaluation criteria frequently considered during recognition processes associated with international research and innovation awards.[4]

Conclusion

Yu Wang’s documented academic profile reflects sustained scholarly engagement through peer-reviewed publications, measurable citation impact, and recognized expertise in algebra. These characteristics collectively illustrate a research record suitable for academic recognition while encouraging continued contributions to mathematical science and international collaboration.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Yu Wang, Author ID 55458238700. Scopus.

    https://www.scopus.com/authid/detail.uri?authorId=55458238700

  2. ORCID. (n.d.). ORCID Record: 0000-0002-7837-3988.

    https://orcid.org/0000-0002-7837-3988

  3. DOI Foundation. (2020). Journal of Algebra article.

    https://doi.org/10.1016/j.jalgebra.2020.01.001

  4. World Statistics Awards. (n.d.). Award Information.

    https://statisticsaward.com

Weijia Han | Design of Experiments (DOE) | Research Excellence Award

Assoc Prof. Dr. Weijia Han | Design of Experiments (DOE) | Research Excellence Award

Wuhan Textile University | China

Assoc Prof. Dr. Weijia Han is an accomplished researcher in physics, materials science, and microelectronics, currently serving as a Lecturer at the School of Microelectronics, Wuhan Textile University, China. He has developed a strong international academic background through his roles as a Postdoctoral Researcher in Experimental Physics and Functional Materials at the Brandenburg University of Technology in Germany, a Guest Scientist at the Leibniz Institute for High Performance Microelectronics in Frankfurt (Oder), and a Research Associate at Osnabrück University as well as the Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences. He holds a PhD in Physical Chemistry from Osnabrück University, a Master’s degree in Applied Physics from Xiangtan University, and a Bachelor’s degree in Physics from Huanggang Normal University. His research focuses on plasmonic and photonic nanostructures, including plasmonic titanium nitride nanohole arrays, metamaterial narrowband absorbers, graphene-based composites, and insect-inspired nanostamping technologies. His work spans design, simulation, nanofabrication, and extensive optical and structural characterization, using tools such as electron microscopy, atomic force microscopy, Raman imaging, X-ray diffraction, FTIR, spectroscopy, and advanced photocurrent measurement systems. He has contributed significantly to several national and international projects involving on-chip optical sensors, CMOS-compatible plasmonic devices, and refractive-index sensor engineering. His scholarly output includes numerous peer-reviewed publications in high-impact journals, and his research performance is reflected in an h-index of 4, with approximately 49 citations across over 11 scientific documents, demonstrating strong global visibility and influence. In addition, he is co-inventor on a Chinese patent related to black phosphorus flake preparation. Known for his creativity, analytical strengths, and problem-solving skills, he is highly self-motivated, collaborative, and deeply committed to innovation in electronic engineering, sensor technology, and advanced material systems.

Profiles: Scopus Google Scholar 

Featured Publications

Dmitry Ponomarev | Causal Inference and Experimental Design | Best Researcher Award

Dr. Dmitry Ponomarev | Causal Inference and Experimental Design | Best Researcher Award

Kurchatov Institute | Russia

Dr. Dmitry Ponomarev, Ph.D. in Electrical Engineering, is an accomplished scientist and academic leader who serves as Deputy Research Director and Head of the Optoelectronics Group at the National Research Centre “Kurchatov Institute,” Moscow, Russia, while also holding the role of Principal Investigator at Tohoku University, Japan. His career has been dedicated to advancing millimeter-wave electronics, terahertz photonics, and quantum optoelectronic devices, where he has consistently demonstrated the ability to bridge fundamental research with technological applications. With more than 118 peer-reviewed journal publications, contributions to 2 academic books, and 12 patents granted alongside 2 under evaluation, he has established himself as a prolific and innovative researcher whose output has been widely disseminated across international platforms. His scientific influence is evident in an H-index of 30 and more than 3,000 citations, which highlight not only the originality of his ideas but also their relevance and adoption by the broader global scientific community. Over the course of his career, he has successfully led 18 completed research projects and continues to direct 3 active investigations, in addition to playing a central role in 6 consultancy and industry collaborations that link academic knowledge to real-world applications. His research contributions include the realization of polarization-sensitive sub-THz detectors, ultralow-noise strain-induced terahertz devices, the pioneering development of a 64-pixel optoelectronic THz detector array, novel performance-enhancement strategies for emitters using plasmonic electrode designs, and the creation of sapphire-fiber microlens arrays with high refractive precision. Beyond his technical achievements, Dr. Ponomarev has made significant service contributions to the academic community, holding 10 editorial appointments, mentoring doctoral students, and serving as a member of scientific councils at leading institutions, including the Russian Academy of Sciences and the Moscow Institute of Physics and Technology. He has built strong collaborations with world-class institutions such as Tohoku University in Japan, École Polytechnique de Montréal in Canada, and Rensselaer Polytechnic Institute in the United States, reinforcing his role as a global connector of expertise. His impact has also been recognized through prestigious prizes and honors awarded for his advances in optoelectronics and quantum photonics, affirming the quality, novelty, and societal relevance of his research. Combining leadership, innovation, and dedication, Dr. Ponomarev continues to shape the future of terahertz science and optoelectronics, while his academic profile, certificates, and supporting documents remain accessible through trusted repositories and official research links, ensuring transparency and verification of his professional achievements.

Profiles: Scopus Google Scholar Orcid

Featured Publications

Gavdush, A. A., Zhelnov, V. A., Dolganov, K. B., Bogutskii, A. A., Garnov, S. V., Burdanova, M. G., Ponomarev, D. S., Shi, Q., Zaytsev, K. I., & Komandin, G. A. (2025). Insulator–metal transition in VO₂ film on sapphire studied by broadband dielectric spectroscopy. Scientific Reports, 15, Article 3500.

Zhelnov, V. A., Rybnikov, D. D., Ulitko, V. E., Goncharov, Yu. G., Lavrukhin, D. V., Perov, A. N., Garnov, S. V., Ponomarev, D. S., Skorobogatiy, M., Zaytsev, K. I., & Chernomyrdin, N. V. (2025). Superresolution THz pulsed solid immersion microscopy. Applied Physics Letters.

Galiev, R. A., Ushakov, D. V., Afonenko, A. A., Pavlov, A. Yu., Ponomarev, D. (2024). Continuous‐wave two‐photon terahertz quantum cascade laser. Journal of Applied Physics, 136(19), Article 194504.

Zenchenko, N. V., Lavrukhin, D. V., Galiev, R., Yachmenev, A., Khabibullin, R., Goncharov, Y., Dolganova, I., Kurlov, V., Otsuji, T., Zaytsev, K., & Ponomarev, D. (2024). Enhanced terahertz emission in a large‐area photoconductive antenna through an array of tightly packed sapphire fibers. Applied Physics Letters, 124, 121107.

Kovaleva, P., Kuznetsov, K. A., Kuznetzov, P. I., Kitaeva, G., Safronenkov, D., & Ponomarev, D. (2024, July). Plasmonic photoconductive antennas based on Bi₂₋ₓSbₓSeᵧTe₃₋ᵧ topological insulators. In Proceedings of the International Conference Laser Optics (ICLO).

Haifa Jammeli | Operations Research and Statistical Optimization | Best Researcher Award

Dr. Haifa Jammeli | Operations Research and Statistical Optimization | Best Researcher Award

Normasys | France

Dr. Haifa Jammeli is a research fellow at the Institut Supérieur de Gestion de Tunis, specializing in business computing and operations research. She holds a PhD from the Higher Institute of Management in Tunisia and a Master’s degree in Logistics and Transportation Sciences from the Higher Institute of Logistics and Transportation, Sousse University. Her academic and professional journey spans over a decade, with significant contributions to supply chain optimization, AI in logistics, and sustainable urban planning. She is a part-time instructor at Paris Nanterre University and NEOMA Business School, teaching courses in supply chain management, operations research, data analysis, and IT project management. Her research focuses on optimizing transportation routes for COVID-19 patients and cash logistics using tools like CPLEX, QGIS, and Python, and she has developed AI models to forecast urban solid waste generation and propose green logistics solutions for household waste collection. With over 70 citations across nine publications, her work has been presented at international conferences and published in journals such as IEEE Transactions on Engineering Management and Annals of Operations Research. Her h-index is 10, reflecting both productivity and impact in her field. She has received awards including the Perficio Award for Best Woman Entrepreneur of the Year and was a finalist for the IFROS Prize for Operational Research in Development. Fluent in English, French, and Arabic, she combines strong technical skills (CPLEX, MATLAB, Python, R, SQL, QGIS) with experience in teaching, project leadership, and applying AI-based decision models to real‐world sustainability challenges.

Profiles: Scopus | Orcid

Featured Publications

Alaya, H., Jammeli, H., Ben Abdelaziz, F., Masmoudi, M., & Verny, J. (2024). Sustainable logistics for transfer of COVID-19 patients: Lesson learned from France. International Transactions in Operational Research.

Jammeli, H., & Verny, J. (2024). A multi-objective model for two-level distribution system in the city of Paris. Annals of Operations Research. (Accepted for publication)

Jammeli, H., Khefacha, A., Sellei, B., & Verny, J. (2023, October 18–21). The impact of AI tools in education environment. In 2023 IEEE ASEE Frontiers in Education Conference, College Station, Texas.

Jammeli, H., Alaya, H., & Verny, J. (2023, October 23–25). An analysis of the role of the Internet of Things and sensor technologies in optimizing waste management in the city of Sousse, Tunisia . World Recycling Convention, Madrid, Spain.

Jammeli, H., & Verny, J. (2022). A literature review for green smart home delivery problem in urban environments. In 2022 International Conference on Decision Aid Sciences and Applications (DASA) (pp. 756–760). IEEE.