Saleem Ramadan | Data Science | Best Researcher Award

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Assoc. Prof. Dr. Saleem Ramadan | Data Science | Best Researcher Award

Assoc. Prof. Dr. Saleem Ramadan | Al Hussein Technical University | Jordan

Dr. Saleem Z. Ramadan is an accomplished Data Analyst and Business Analyst with a strong interdisciplinary background in industrial engineering, systems optimization, and data science. With academic and consulting experience across the U.S. and Jordan, he has applied data-driven decision-making, predictive analytics, and optimization modeling to complex problems in healthcare, manufacturing, and finance. Dr. Ramadan holds a Ph.D. in Systems Engineering from Ohio University and has served as Acting Chair and Associate Professor at Al Hussein Technical University, leading research and teaching initiatives integrating machine learning and operations analytics. He has developed impactful analytics solutions—ranging from hydroponic resource optimization and radiology workflow improvement to financial risk dashboards—using tools such as Python, SQL, Power BI, Tableau, and Minitab. His consulting work with Healthcare Operations & Performance Excellence (HOPE) led to measurable improvements in hospital performance through Six Sigma and process control techniques. A Certified Analytics Professional (CAP) and Microsoft Power BI Data Analyst Associate, Dr. Ramadan has authored 20 peer-reviewed publications, accumulating 236 citations from 230 documents with an h-index of 6. His recent works focus on machine learning–driven optimization, surgical scheduling prediction, and additive manufacturing parameter tuning. Dr. Ramadan’s combination of technical proficiency, academic leadership, and applied research impact uniquely positions him at the intersection of analytics innovation and business performance excellence.

Profiles:  Scopus | Google Scholar | LinkedIn

Featured Publications

Ramadan, S., Abushams, M., Al-Dahidi, S., & Odeh, I. (2025). A data-driven approach for predicting remaining intra-surgical time and enhancing operating room efficiency. Journal of Industrial Engineering and Management.

Ramadan, S., Abushams, M., Al-Dahidi, S., & Odeh, I. (2024). Optimizing tensile strength and energy consumption for FDM through mixed-integer nonlinear multi-objective optimization and design of experiments. Heliyon.

Li Yu | Research Excellence | Best Researcher Award

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Prof. Li Yu | Research Excellence | Best Researcher Award

Prof. Li Yu | Oil Crops Research Institute of the Chinese Academy of Agricultural Sciences | China

Dr. Yu Li is a distinguished Research Fellow at the Oil Crops Research Institute (OCRI), Chinese Academy of Agricultural Sciences (CAAS), specializing in Food Science and Technology with a strong emphasis on mycotoxin prevention, detection, and safety assurance in agricultural products. Her research integrates advanced analytical techniques and immunological approaches to develop innovative detection systems for food contaminants. She has successfully led and participated in more  major national and provincial research projects, including those funded by the National Key R&D Program of China and the National Natural Science Foundation of China (NSFC). Her pivotal role in the award-winning project “Development of Targeted Antibodies and Ultrasensitive Detection Technologies for Aflatoxins in Agricultural Products” earned her team the Second-Class Prize of the National Technical Invention Award . Recognized for her excellence, Dr. Li has been selected for the Outstanding Young Talent Cultivation Program of OCRI-CAAS and the “Young Top Talent” Program of Hubei Province. Beyond her research, she contributes to scientific development as a Guest Editor for Molecules and as a member of the Science and Technology Expert Database of the Hubei Provincial Department of Science and Technology.

Profiles:  ORCID | ResearchGate

Featured Publications

Tang, F., Ma, F., Wang, D., Fang, M., Zhang, L., Li, P., & Yu, L. (2025). Highly efficient detoxification of aflatoxin B1 in peanut meals by attapulgite-supported laccase. Food Control, 164, 111759. https://doi.org/10.1016/j.foodcont.2025.111759

Ma, F., He, Y., Tang, F., Fu, L., Zhang, L., Li, P., & Yu, L. (2025). In-situ stabilization of conjugated microporous polymer on sieve plates for multifunctional applications: Detection and removal of aflatoxins. Journal of Hazardous Materials, 478, 139457. https://doi.org/10.1016/j.jhazmat.2025.139457

Liu, M., Wang, X., Yang, Y., Tu, F., Yu, L., Ma, F., Wang, X., Jiang, X., Dou, X., Li, P., & others. (2025). Authentication of edible oil by real-time one class classification modeling. Foods, 14(7), 1235. https://doi.org/10.3390/foods14071235

Dou, X., Tu, F., Yu, L., Yang, Y., Ma, F., Wang, X., Wang, D., Zhang, L., Jiang, X., & Li, P. (2024). Adulteration detection of edible oil by one-class classification and outlier detection. Food Frontiers, 5(1), Article e395. https://doi.org/10.1002/fft2.395

Huang, F., Liu, A., Fang, M., Wang, D., Yu, L., Ma, F., Wang, X., Zhang, L., & Li, P. (2024). Characteristic volatile flavors of high-oleic peanut oil and normal peanut oil. Microchemical Journal, 199, 110389. https://doi.org/10.1016/j.microc.2024.110389

Sayak Chatterjee | Research Excellence | Best Researcher Award

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Dr. Sayak Chatterjee | Research Excellence | Best Researcher Award

Dr. Sayak Chatterjee | University of Massachusetts | United States

Dr. Sayak Chatterjee is a distinguished Postdoctoral Research Scholar in the Department of Physics at the University of Massachusetts Amherst, USA, specializing in experimental high-energy nuclear and particle physics. His research focuses on precision measurements, detector development, and high-rate data acquisition systems for frontier experiments such as MOLLER at Jefferson Lab and CBM at FAIR, Germany. With advanced expertise in Gas Electron Multipliers (GEM), Cherenkov detectors, and GEANT4-based simulations, he has contributed significantly to detector innovation and performance optimization. Dr. Chatterjee has an impressive academic record, authoring 44 research documents with 179 citations and an h-index of 7, reflecting the impact of his contributions to detector physics. His scholarly excellence has been recognized through multiple international honors, including the Ernest Rutherford Best Researcher Award and the Young Research Grant at the Pisa Meeting on Advanced Detectors, Italy. Beyond research, he serves on editorial boards, reviews for leading journals, and actively mentors students, embodying excellence in both scientific innovation and academic leadership.

Profiles:  ORCID | Scopus | Google Scholar | LinkedIn

Featured Publications

Chatterjee, S. (2025). Characterization of Cherenkov detectors for the MOLLER experiment. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment.

Mandal, S., Chatterjee, S., Sen, A., Gope, S., Dhani, S., Hegde, A. C., … (2024). Investigation of the stability in the performance of triple GEM detectors for High Energy Physics experiments. Nuclear Instruments and Methods in Physics Research Section A.

Chatterjee, S., Sen, A., Das, S., & Biswas, S. (2023). Charging-up effect and uniformity study of a single mask triple GEM detector. Nuclear Instruments and Methods in Physics Research Section A.

Chatterjee, S., Sen, A., Das, S., & Biswas, S. (2023). Effect of relative humidity on the long-term operation of a single mask triple GEM chamber. Nuclear Instruments and Methods in Physics Research Section A.

Sen, A., Chatterjee, S., Das, S., & Biswas, S. (2023). Characterization of a new RPC prototype using conventional gas mixture. Nuclear Instruments and Methods in Physics Research Section A.

Mansour Amini | Research Excellence | Innovative Research Award

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Dr. Mansour Amini | University Sains Malaysia | Innovative Research Award 

Dr. Mansour Amini | University Sains | Malaysia

Dr. Mansour Amini is a distinguished academic, researcher, and translator whose expertise spans translation studies, applied linguistics, and English language teaching. He serves as a senior lecturer at Universiti Sains Malaysia, where he contributes actively to teaching, research, and postgraduate supervision. His professional journey includes leadership roles in higher education, where he has coordinated courses, guided research teams, and contributed to programme development and innovation. Fluent in multiple languages, including English, Persian, Azerbaijani, and Turkish, with working knowledge of others, he brings a unique cross-cultural perspective to his scholarship. Dr. Amini’s research covers translation quality assessment, interpreting, language pedagogy, feedback practices, and the integration of artificial intelligence in translation studies. He has published widely in reputable international journals, with his body of work comprising more than forty scholarly documents that have collectively earned over 216 citations across more 152  academic sources, reflected in a citation index of 7. Beyond research, he has been recognized with awards for teaching excellence, academic leadership, and impactful scholarly contributions. His professional engagements also extend to international collaborations, visiting professorships, and fellowships, reflecting his global academic footprint. Dedicated to fostering academic growth, he continues to inspire students and colleagues through innovative research, interdisciplinary collaboration, and a passion for multilingual education.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

Amini, M. (2025). Book review: AI revolution: Profitable opportunities in the age of artificial intelligence. Journal of Multidisciplinary in Social Sciences.

Amini, M., & Zahabi, A. (2025). Communicating across borders: Unveiling the pragmatic foundations in applied linguistics. International Review of Pragmatics.

Amini, M., Lee, K.-F., & Yiqiu, W., & Ravindran, L. (2025). Proposing a framework for ethical use of AI in academic writing based on a conceptual review: Implications for quality education. Interactive Learning Environments.

Amini, M., Wang, Q., Amini, D., Ravindran, L., Tan Ai Lin, D., Ganapathy, M., Singh, M. K. M., Bartsch, D. U. G., Cheng, L., & Ferreyra, H. A., et al. (2025). The significance of humanistic approach and moral development in English language classrooms. Discover Education.

Alavi, S., Amini, M., & Zahabi, A. (2025). Postgraduate TEFL students’ perceptions towards thesis supervision quality in Thailand: The role of expectations and negotiation in supervision quality. Reflections.

Yeoh, S. W., Amini, M., Lee, K.-F., & Oumeng, H. (2025). Analysing individual racism portrayal in Hanna Alkaf’s novel The weight of our sky. Cogent Arts & Humanities, 12(1).

Wu, S., Amini, M., & Mahfoodh, O. H. A. (2025). Unveiling certainty and doubt: A systemic functional exploration of epistemic modality in courtroom discourse. International Journal for the Semiotics of Law – Revue internationale de Sémiotique juridique.

Amini, M. (2025). Navigating health information in the age of artificial intelligence. Multimedia and Sensory Input for Augmented, Mixed, and Virtual Reality.

Amini, M. (2025). Cutting-edge approaches in translator education and pedagogy. Cutting-Edge Approaches in Translator Education and Pedagogy.

Xue Li | Energy Sustainability | Best Researcher Award

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Ms. Xue Li | Energy Sustainability | Best Researcher Award

Ms. Xue Li | Wuhan Institute of Technology | China

Dr. Li Xue received her Ph.D. in Thermal Engineering from Dalian University of Technology in 2021. She is currently a faculty member at the School of Optical Information and Energy Engineering, Wuhan Institute of Technology. Her core research focuses on the near-wall collisions of microscale particles and the fundamentals of particle dynamics. She investigates how microscale interactions influence fluid flow, heat transfer, and energy conversion processes. Her studies contribute to advancing knowledge in microfluidics, aerosol science, and particulate system behavior. By integrating theoretical modeling with experimental validation, she addresses key challenges in microscale transport phenomena. Her work aims to improve the design of energy systems with higher efficiency and better control of particle interactions. She is also interested in the application of microscale particle research in thermal management and engineering systems. Through her academic contributions, she supports interdisciplinary advancements bridging thermal engineering and energy science. Dr. Xue continues to expand her research portfolio while mentoring students in innovative areas of energy and particle engineering.

Profile: Orcid

Featured Publications

Li, X., Xie, J., Dong, M., Chen, S., & Dong, W. (2024). Could the rebound characteristics of oblique impact for SiO₂ particles represent the ash particles? ACS Omega, 9(9), 10564–10574.

Li, X., Dong, M., Zhang, H., Li, S., & Shang, Y. (2020). Effect of surface roughness on capillary force during particle-wall impaction under different humidity conditions. Powder Technology, 369, 253–261.

Li, X., Dong, M., Jiang, D., Li, S., & Shang, Y. (2020). The effect of surface roughness on normal restitution coefficient, adhesion force and friction coefficient of the particle-wall collision. Powder Technology, 361, 311–320.

Li, X., Dong, M., Li, S., & Shang, Y. (2019). Experimental and theoretical studies of the relationship between dry and humid normal restitution coefficients. Journal of Aerosol Science, 130, 67–76.

Dong, M., Mei, Y., Li, X., Shang, Y., & Li, S. (2018). Experimental measurement of the normal coefficient of restitution of micro-particles impacting on plate surface in different humidity. Powder Technology, 334, 52–60.

Dong, M., Li, X., Mei, Y., & Li, S. (2018). Experimental and theoretical analyses on the effect of physical properties and humidity of fly ash impacting on a flat surface. Journal of Aerosol Science, 117, 121–131.

Alexander Migdal | Scientific Breakthroughs | Best Researcher Award

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Prof. Alexander Migdal | Scientific Breakthroughs | Best Researcher Award 

Prof. Alexander Migdal | Institute for Advanced Study | United States

Alexander A. Migdal is a renowned theoretical physicist with a lifetime of pioneering contributions to mathematical and theoretical physics. Currently a Member of the School of Mathematics at the Institute for Advanced Study, Princeton, he has advanced key areas of physics including quantum field theory, gauge theory, turbulence, and quantum gravity. Educated at the Landau Institute for Theoretical Physics, Migdal has held leading academic positions at prestigious institutions such as Princeton University and New York University. His groundbreaking work includes the Migdal–Kadanoff recursion equations, the Makeenko–Migdal loop equations in large-N QCD, the matrix model solution of two-dimensional quantum gravity, and recent advances in the exact solution of turbulence. Internationally recognized for his achievements, he has received distinguished honors such as the Landau–Weizmann Award and has delivered invited lectures across the globe, continuing to shape modern physics and inspire new generations of researchers.

Profile: Orcid | Google Scholar

Featured Publications

Migdal, A. (2025). Spontaneous quantization of the Yang–Mills gradient flow. Nuclear Physics B. Advance online publication.

Migdal, A. (2025). Duality of Navier–Stokes to a one-dimensional system. International Journal of Modern Physics A. Advance online publication.

Migdal, A. (2024, December 23). Fluid dynamics duality and solution of decaying turbulence. Preprints.

Migdal, A. (2024, November 12). Duality of the Navier–Stokes dynamics and lack of finite-time explosion (Version 2). Preprints.

Migdal, A. (2024, November 5). Duality of the Navier–Stokes dynamics and lack of finite-time explosion (Version 1). Preprints.

Migdal, A. (2024). Quantum solution of classical turbulence: Decaying energy spectrum. Physics of Fluids, 36(9), 095117.

Migdal, A. (2024, August 4). Quantum solution of classical turbulence: Decaying energy spectrum (Version 3). Qeios.

Migdal, A. (2024, July 9). Quantum solution of classical turbulence: Decaying energy spectrum (Version 14). Preprints.

Migdal, A. (2024, July 9). Quantum solution of classical turbulence: Decaying energy spectrum (Version 2). Qeios.

Migdal, A. (2024, July 3). Quantum solution of classical turbulence: Decaying energy spectrum. Qeios.

Migdal, A. (2024, June 3). Quantum solution of classical turbulence: Decaying energy spectrum (Version 12). Preprints.

Migdal, A. (2024, May 6). Quantum solution of classical turbulence: Decaying energy spectrum (Version 11). Preprints.

Muhammad Sarfraz | Material Science | Best Researcher Award

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Assoc. Prof. Dr. Muhammad Sarfraz | Material Science | Best Researcher Award

Assoc. Prof. Dr. Muhammad Sarfraz | University of Engeineering and Technology | Pakistan

Dr. Muhammad Sarfraz, PhD, is an accomplished Associate Professor in the Department of Polymer and Process Engineering at the University of Engineering and Technology (UET), Lahore. He brings extensive expertise in membrane technology, polymer processing, and sustainable separation systems, with a strong focus on solutions addressing global challenges such as carbon capture, water purification, and energy-efficient processes. With academic training spanning B.Sc., M.Sc., and Ph.D. in Chemical and Polymer Engineering—including doctoral research at King Fahd University of Petroleum and Minerals (KSA)—Dr. Sarfraz has built a prolific research portfolio. His scholarly impact is reflected in 155 citations across 126 documents, 22 publications, and an h-index of 8. His contributions include high-impact publications, competitive national research grants, and the supervision of multiple postgraduate theses, alongside significant efforts in laboratory establishment and curriculum development at UET. As In-charge of the Membrane Research Lab at UET, he continues to drive innovation in advanced materials and separation technologies. Beyond research, Dr. Sarfraz plays an active role in the global scientific community as a reviewer, editorial board member, and academic council contributor, making him a recognized leader in his field.

Profile: Scopus | Google Scholar |  Orcid

Featured Publications

Shahzadi, K., Sarfraz, M., Alomar, M., Al Huwayz, M., Riaz, A., Mujtaba, M. A., Bashir, M. N., & Petrů, J. (2025, November). Zn-Co nanoferrites incorporated polysulfone nanofiltration membranes for wastewater treatment. Polymer Testing, 126, 108993.

Nawaz, S., Sarfraz, M., Alomar, M., Al Huwayz, M., & AlMohamadi, H. (2025, August). Antifouling polyethersulfone-based interfacial polymerization membranes for water treatment applications. Journal of Polymer Research, 32, 4528.

Riaz, A., Wu, C., Li, X., Sarfraz, M., Sun, L., Liu, L., Song, Y., & Ma, X. (2025, June). Huge improved gas separation performance of carbon molecular sieve membranes by incorporating polyimide COF into a linear polyimide precursor. Journal of Membrane Science, 714, 124103.

Sabir, A., Alomar, M., Sarfraz, M., & Yasmeen, F. (2025, June 15). Modulating membrane performance by optimizing coagulation temperature and dipping time. Journal of Applied Polymer Science, 142, e56998.

Khan, H. A. A., Sarfraz, M., Gouadria, S., Al-Harbi, F. F., & Shahzadi, K. (2025, May 15). Enhancing carbon capture efficacy of titania-doped polyethersulfone membranes. Arabian Journal for Science and Engineering, 50, 10263.

Alomar, M., Nawaz, S., Sarfraz, M., & Sabir, A. (2025, March). Genipin nanoparticles-doped reduced graphene oxide membranes: A promising solution for arsenic ion removal from wastewater. Arabian Journal for Science and Engineering, 50, 9634.

Sarfraz, M., Alomar, M., Ma, X., & Riaz, A. (2024). Ameliorating carbon capture efficiency of polysulfone membranes via collegial incorporation of zeolite imidazole frameworks and carbon nanotubes. Journal of Applied Polymer Science, 141, e55707.

Tahir, Z., Alomar, M., Sarfraz, M., Waheed, A., & Ayub, H. M. U. (2024). Carbon capturing composite membranes comprising Cu-MOF and PIM-1. Journal of Applied Polymer Science, 141, e55709.

Sagar, S., Riaz, A., Hasanain, B., Bahadar, A., & Sarfraz, M. (2024). Deportment tuning of polymeric gas separation membranes: ZIF-L/PES nanocomposite. Arabian Journal for Science and Engineering, 49, 8522.

Sarfraz, M., Ayyaz, M., Rauf, A., Yaqoob, A., Ali, M. A., Siddique, S. A., Qureshi, A. M., Sarfraz, M. H., Aljowaie, R. M., & Almutairi, S. M. (2024). New pyrimidinone bearing aminomethylenes and Schiff bases as potent antioxidant, antibacterial, SARS-CoV-2, and COVID-19 main protease Mpro inhibitors: Design, synthesis, bioactivities, and computational studies. ACS Omega, 9(1), 9393–

Khalid, J., Tariq, Z., Sarfraz, M., Mahmoud, K. H., & Abid, N. (2024). Pilot scale trialing of multi-leaf spiral-wound polymer membrane modules for efficient carbon capture. Arabian Journal for Science and Engineering, 49, 8809.

Asif Khan | Clean Energy | Best Researcher Award

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Dr. Asif Khan | Clean Energy | Best Researcher Award 

Dr. Asif Khan | University of Science and Technology Bannu kpk | Pakistan

Asif Nawaz Khan is a committed physicist and lecturer at the University of Science and Technology Bannu, with extensive experience in teaching and research at both undergraduate and postgraduate levels. He is currently pursuing a Ph.D. in Physics and has developed strong expertise in computational and theoretical physics, particularly in the design and analysis of 2D and 3D perovskite materials. His research encompasses structural, optical, thermoelectric, elastic, and thermodynamic properties, alongside solar cell device performance, phonon calculations, and molecular dynamics simulations. Proficient in advanced simulation software and machine learning techniques, he actively supervises students in both experiments and computational modeling, contributing significantly to the advancement of materials science.

Profile: Google Scholar

Featured Publications

Khan, A., Khan, N. U., Nawaz, A., & Ullah, K., & Manan, A. (2024). A DFT study to explore structural, electronic, optical and mechanical properties of lead-free Na2MoXO6 (X= Si, Ge, Sn) double perovskites for photovoltaic and optoelectronic applications. Computational and Theoretical Chemistry, 1240, 114834.

Hosen, A., Mousa, A. A., Nemati-Kande, E., Khan, A. N., Abu-Jafar, M. S., … (2025). Systematic computational screening and design of double perovskites Q2LiMH6 (Q= K, Rb; M= Ga, In, Tl) for efficient hydrogen storage: A DFT and AIMD approach. Surfaces and Interfaces, 106608.

Khan, A. N., Rabhi, S., Jehangir, M. A., Charif, R., Khan, N. U., Begagra, A., … (2025). Evaluating A2SrGeI6 (A= K and Rb) lead-free double perovskites: Structural, elastic, and optoelectronic insights for clean energy. Inorganic Chemistry Communications, 174, 113949.

Khan, N. U., Ghani, U., Khan, A., Khan, A. N., Ullah, K., Ali, R., & Fadhali, M. M. (2025). Theoretical insight into stabilities and optoelectronic properties of RbZnX3 (X= Cl, Br) halide perovskites for energy conversion applications. Optical and Quantum Electronics, 57(1), 109.

Rabhi, S., Khan, A. N., Chinoune, O., Charif, R., Bouri, N., Al-Qaisi, S., Sadaf, S., … (2025). Insight into NaSiCl3: A lead-free perovskite for the next generation revealed by DFT and SCAPS-1D. Physical Chemistry Chemical Physics, 27(25), 13490–13507.

Hosen, A., Sadeghi, A., Abdulhussein, H. A., Nemati-Kande, E., Khan, A. N., … (2025). First-principles insights into NaScQH6 (Q= Fe, Ru, Os): Promising high-density hydrogen storage materials. International Journal of Hydrogen Energy, 177, 151392.

Khan, A. N., Khan, N. U., Khan, A., Ali, R., & Fadhali, M. M. (2025). Lead-free, stable, and effective double Ca2TiXO6 (X= Ge, Sn) perovskites for photovoltaic application. Journal of Sol-Gel Science and Technology, 1–13.

Khan, A. N., Kaleem, M., Khan, N. U., Nasir, A., Khan, A., & Abbasi, M. Z. (2026). Multi-functional DFT and SCAPS-1D analysis of lead-free Z2MgGeI6 (Z= Na, K) double perovskites for optoelectronic, photo-catalytic, and photovoltaic applications. Solar Energy Materials and Solar Cells, 294, 113922.

Khan, A. N., Khan, N. U., Kaleem, M., Tanzeel, M., Nasir, A., Hosen, A., Akremi, A., … (2025). Lead-free X2MgGeI6 (X= Rb, Cs) double perovskites for multi-functional energy applications: A DFT and SCAPS-1D perspective. Solid State Sciences, 108049.

Khan, Z., Manan, A., Khan, N. U., Khan, A. N., Khan, A., & Liu, G., … (2025). Exploring Sn-based vacancy-ordered halide double perovskites Na2Sn(Cl/Br)6 for optoelectronic, thermoelectric, and solar-driven hydrogen reduction applications. Chemical Papers, 1–21.

Khan, Z., Manan, A., Khan, N. U., Khan, A. N., Khan, A., Joifullah, S., Al Yeamin, M., … (2025). DFT-driven pressure-induced modulation in K2TIYCl6: Unlocking pressure-responsive physical and photo-catalytic properties. Optical and Quantum Electronics, 57(7), 1–32.

Yu Lan Wang | Research Excellence | Best Researcher Award

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Prof. Dr. Yu Lan Wang | Research Excellence | Best Researcher Award

Prof. Dr. Yu Lan Wang | Inner Mongolia University of Technology | China

Professor Yu Lan Wang is a distinguished researcher at Inner Mongolia University of Technology, recognized for her impactful contributions to computational mathematics, numerical analysis, and nonlinear science. She has published 61 scholarly works, which have been cited in over 839 publications, 16 h-index, Demonstrating her strong influence and academic reach. Her research has been acknowledged through a solid citation record and a notable research index, highlighting both the quality and depth of her contributions. By advancing high-precision methods for fractional-order systems and uncovering novel chaotic behaviors, she continues to inspire innovation across mathematics, physics, and engineering.

Profile: Scopus | Orcid

Featured Publications

Zhang, S., Zhang, H., Wang, Y., & Li, Z. (2025). Dynamic properties and numerical simulations of a fractional phytoplankton–zooplankton ecological model. Networks and Heterogeneous Media, 20(2), Article 028.

Zhang, H., Wang, Y., Bi, J., & Bao, S. (2025). Novel pattern dynamics in a vegetation–water reaction–diffusion model. Mathematics and Computers in Simulation. Advance online publication.

Wang, X., Zhang, H., Wang, Y., & Li, Z. (2025). Dynamic properties and numerical simulations of the fractional Hastings–Powell model with the Grünwald–Letnikov differential derivative. International Journal of Bifurcation and Chaos. Advance online publication.

Han, Y., Zhang, J., & Wang, Y. (2024). Dynamic behavior of a two-mass nonlinear fractional-order vibration system. Frontiers in Physics, 12, 1452138.

Ning, J., & Wang, Y. (2024). Fourier spectral method for solving fractional-in-space variable coefficient KdV–Burgers equation. Indian Journal of Physics, 98, 1865–1875.

Tian, F., Wang, Y., & Li, Z. (2024). Numerical simulation of soliton propagation behavior for the fractional-in-space NLSE with variable coefficients on unbounded domain. Fractal and Fractional, 8(3), 163.

Zhang, S., Zhang, H., Wang, Y., & Li, Z. (2024). Research on dynamical behavior of a phytoplankton–zooplankton ecological model. Research Square. Preprint.

Gao, X., Zhang, H., Wang, Y., & Li, Z. (2024). Research on pattern dynamics behavior of a fractional vegetation–water model in arid flat environment. Fractal and Fractional, 8(5), 264. 

Zhao, L., & Zhang, W. (2024). Fourier spectral method for the fractional-in-space coupled Whitham–Broer–Kaup equations on unbounded domain. Open Physics, 22(1), 781–795.

Gao, X., Li, Z., & Wang, Y. (2024). Chaotic dynamic behavior of a fractional-order financial system with constant inelastic demand. International Journal of Bifurcation and Chaos, 34(7), 2450111.

Zhang, W., Wang, H., Zhang, H., Li, Z., & Li, X. (2024). Dynamical behavior of the fractional BBMB equation on unbounded domain. Fractal and Fractional, 8(7), 383.

Gao, X., Wang, Y., & Li, Z. (2023). High-precision numerical methods for a class of fractional-order financial systems with constant inelastic demand. SSRN.

Tang, W., Wang, Y., & Li, Z. (2023). Numerical simulation of fractal wave propagation of a multi-dimensional nonlinear fractional-in-space Schrödinger equation. Physica Scripta, 98(2), 025212.

Dai, D., Li, X., Li, Z., Zhang, W., & Wang, Y. (2023). Numerical simulation of the fractional-order Lorenz chaotic systems with Caputo fractional derivative. Computer Modeling in Engineering & Sciences, 135(2), 481–499.

Shuai Guo | Medical Discoveries | Best Researcher Award

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Dr. Shuai Guo | Hebei University | China

Dr. Guo Shuai is an accomplished Associate Researcher and Master’s Supervisor at Hebei University, whose career reflects a strong dedication to advancing biomedical sciences. His work focuses on the structure–function relationship of the TMEM16A ion channel and the molecular design of targeted drugs, combining fundamental discoveries with practical therapeutic applications. He has successfully led a range of prestigious national and provincial research projects and has published widely in leading international journals, establishing his reputation as an influential scholar in pharmacology and life sciences. His contributions extend beyond research through inventive patents, innovative drug delivery strategies, and recognition for both scientific excellence and teaching innovation. As a respected mentor and reviewer for national foundations and academic programs, Dr. Guo continues to shape future directions in medical research while inspiring the next generation of scientists.