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

Fatih UCUN | Regression and Correlation Analysis | Best Researcher Award

Prof. Dr. Fatih UCUN | Regression and Correlation Analysis | Best Researcher Award

Suleyman Demirel University | Turkey

Prof. Dr. Fatih Ucun is a distinguished physicist specializing in atomic and molecular physics, with expertise in electron paramagnetic resonance (EPR), nuclear magnetic resonance (NMR), and infrared (IR) spectroscopy. He completed his B.Sc. and M.Sc. in Physics at Atatürk University and earned his Ph.D. from Ondokuz Mayıs University. He is a full professor in the Department of Physics at Suleyman Demirel University in Isparta, Turkey. Prof. Ucun has made significant contributions to computational chemistry, molecular modeling, and quantum mechanics, bridging theoretical insights with practical applications in material science and nanotechnology through pioneering studies on molecular electronic structures and quantum chemical simulations. He has authored 91 publications, cited 883 times, and holds an h-index of 16, reflecting his substantial impact in the field. In addition to his research, he has published four books and serves on editorial boards of scientific journals, demonstrating his leadership and influence in the academic community. His work has advanced the understanding of atomic-level interactions and energy transfer mechanisms, while mentoring future scientists and enriching scientific progress in physical chemistry and computational modeling.

Profiles: Scopus Google Scholar 

Featured Publications

Ucun, F., Isik, Y. E., & Tiryaki, O. (2025). An approach to description of isotropic hyperfine interaction constants in the fluorinated nitrobenzene and nitrophenol radical anions: DFT calculations vs. experiment. Russian Journal of Physical Chemistry A, 99, 2498–2505.

Yolburun, H., & Ucun, F. (2023). EPR analysis of dinitrobenzoic acid anion radicals. International Journal of Computational and Experimental Science and Technology.

Ucun, F. (2023). EPR analysis of dinitrobenzoic acid anion radicals. International Journal of Computational and Experimental Science and Technology.

Ucun, F., & Alakuş, N. (2022). Enthalpies and activation energies of several gas reactions by intrinsic reaction coordinate (IRC) calculations. El-Cezeri, 9(2), 576–583.

Ucun, F., & Küçük, S. (2022). Triafulvalen, pentafulvalen ve heptafulvalenin katyon ve anyon radikallerinin EPR aşırı ince-yapı yapıları: Bir teorik çalışma. Süleyman Demirel University Faculty of Arts and Science Journal of Science.

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.

Saikat Biswas | Operations Research and Statistical Optimization | Best Researcher Award

Dr. Saikat Biswas | Operations Research and Statistical Optimization | Best Researcher Award

IIT Roorkee | India

Dr. Saikat Biswas is an Indian chemical engineer and academic whose research primarily focuses on computational fluid dynamics (CFD), multiphase flow, and microfluidics, with a special emphasis on droplet dynamics including breakup, splitting, and the transition from dripping to jetting in complex microchannel geometries. He earned his PhD in Chemical Engineering from the Indian Institute of Technology Guwahati (2016–2023), where his doctoral work investigated droplet breakup dynamics in confined microscale flows, and previously completed both his M.Tech and B.Tech in Chemical Engineering at the National Institute of Technology Agartala. Throughout his academic journey, he has published 14 documents, accumulating 41 citations and achieving an h-index of 3, reflecting his growing impact in the field. His contributions include both numerical and computational studies, such as two-dimensional and three-dimensional simulations of droplet splitting at T-junctions and multifurcating channels, investigations of flow-focusing geometries, and analyses of the role of viscosity ratio, surface tension, and channel design in influencing microfluidic droplet behaviour. Skilled in advanced tools such as ANSYS Fluent, COMSOL Multiphysics, OpenFOAM, and MATLAB, he integrates computational methods with engineering applications to address fundamental and applied challenges. Recognized as hard-working, adaptable, and collaborative, Biswas continues to contribute to the advancement of microfluidics and multiphase flow research.

Profiles: Scopus | Google Scholar | Orcid

Featured Publications

“Digital electronic based portable device for colorimetric quantification of ketones and glucose level in human urine”

“Droplet splitting in multifurcating microchannel: A three-dimensional numerical simulation study”

“3D simulation of dripping and jetting phenomena in a flow-focusing geometry”

“A computational study on transition mechanism of dripping to jetting flow in a flow focusing geometry”

“Influence of microchannel geometry on droplet breakup dynamics: A computational study”