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.

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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.

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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.

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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.

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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.

Zhifeng Liu | Neuroscience Discoveries | Best Researcher Award

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Dr. Zhifeng Liu | Neuroscience Discoveries | Best Researcher Award

Dr. Zhifeng Liu | University of Chinese Medicine | China

Dr. Liu Zhifeng is an Assistant Researcher at the Department of Massage and Pain, Dongzhimen Hospital, Beijing University of Chinese Medicine, specializing in tuina mechanisms for peripheral nerve injury, neuropathic pain management, and pediatric fever reduction. He holds a PhD in Acupuncture and Massage from Beijing University of Chinese Medicine under the supervision of Prof. Yu Tianyuan, with prior master’s and bachelor’s training from Shandong Traditional Chinese Medicine University. His research integrates clinical practice with multi-omics approaches to explore tuina’s efficacy, resulting in multiple first-author SCI publications, including in Frontiers in Neuroscience and Frontiers in Microbiology. Dr. Liu has also contributed as an editorial board member for key academic works, presided over funded projects, and actively participated in national research programs. Recognized with several scholarships and national awards, he has presented at major TCM massage conferences and engaged in teaching, training, and community health services, reflecting his commitment to advancing traditional Chinese medicine through both research and practice.

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Featured Publications

Jiawei, S., Yingqi, Z., Zhifeng, L., Hanyu, Z., Jiayue, L., Yue, X., Rentuya, N., Hongzheng, Z., Jiawang, Y., & Tianyuan, Y. (2025). Chinese massage therapy (Tuina) inhibits motor neuron apoptosis in rats with sciatic nerve injury by regulating the cPLA2 and RhoA/ROCK2 signaling pathways. Frontiers in Neurology, 16, 1622602.

Liu, Z.-F., Zhang, Y., Liu, J., Wang, Y.-Y., Chen, M., Liu, E.-Y., Guo, J.-M., Wang, Y.-H., Weng, Z.-W., Liu, C.-X., et al. (2024). Effect of traditional Chinese non-pharmacological therapies on knee osteoarthritis: A narrative review of clinical application and mechanism. Orthopedic Research and Reviews, 16, 1–14.

Liu, Z.-F., Wang, H.-R., Yu, T.-Y., Zhang, Y.-Q., Jiao, Y., & Wang, X.-Y. (2022). Tuina for peripherally-induced neuropathic pain: A review of analgesic mechanism. Frontiers in Neuroscience, 16, 1096734.

Wang, H., Liu, Z., Yu, T., Zhang, Y., Jiao, Y., Wang, X., Du, H., Jiang, R., Liu, D., Xu, Y., et al. (2022). The effect of Tuina on ulcerative colitis model mice analyzed by gut microbiota and proteomics. Frontiers in Microbiology, 13, 976239.

Lyu, T., Liu, Z., Yu, T., Lu, M., Zhang, Y., Jiao, Y., Wang, H., Xu, Y., & Guan, Q. (2022). Applying RNA sequencing technology to explore repair mechanism of Tuina on gastrocnemius muscle in sciatic nerve injury rats. Chinese Medical Journal, 135(19), 2349–2358.

Wang, H., Liu, Z., Yu, T., Zhang, Y., Xu, Y., Jiao, Y., Guan, Q., & Liu, D. (2022). Exploring the mechanism of immediate analgesic effect of one-time Tuina intervention in minor chronic constriction injury rats using RNA-seq. Frontiers in Neuroscience, 16, 1007432.

Liu, Z., Jiao, Y., Yu, T., Wang, H., Zhang, Y., Liu, D., Xu, Y., & Guan, Q. (2022). A review on the immunomodulatory mechanism of acupuncture in the treatment of inflammatory bowel disease. Evidence-Based Complementary and Alternative Medicine, 2022, 8528938.

Liu, Z., Wang, H., Yu, T., Jiao, Y., Zhang, Y., Liu, D., Xu, Y., & Guan, Q. (2021). A review on the mechanism of Tuina promoting the recovery of peripheral nerve injury. Evidence-Based Complementary and Alternative Medicine, 2021, 6652099.

 

Sowmiya Chandrasekar | Agricultural Technology | Best Researcher Award

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Dr. Sowmiya Chandrasekar | Agricultural Technology | Best Researcher Award

Dr. Sowmiya Chandrasekar | National Bee Board | India

Dr. Sowmiya Chandrasekar has consistently integrated traditional practices with modern scientific approaches to address pressing challenges in pollinator health, pesticide risk assessment, and sustainable beekeeping. Her contributions span impactful publications, books, fellowships, awards, and training programs, reflecting both academic excellence and societal relevance. By bridging research, teaching, and outreach, Dr. Sowmiya Chandrasekar, has strived to empower farmers, students, and the beekeeping community while contributing to food security and ecological resilience.  Dr. Sowmiya Chandrasekar, humbly submits her nomination for the Best Researcher Award, believing this recognition will further inspire her to expand her contributions to global pollinator conservation and sustainable agriculture.

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Featured Publications

Sowmiya, C., Srinivasan, M. R., & Saravanan, P. A. (2018). Diversity of pollinators in drumstick, Moringa oleifera Lam. ecosystem.

Banumathi, K., Murugan, M., Jeyarani, S., Mohankumar, S., Balasubramani, V., … (2020). Prevalence of invasive Aleyrodidae harbouring horticultural host plants in different ecosystems of Tamil Nadu. Journal of Entomology and Zoology Studies, 8(6), 886–890.

Elanchezhyan, K., Sowmiya, C., Agilesh, S., & Venkatesh, M. (2017). Diversity of odonates at agricultural college campus, Killikulam, Tamil Nadu, India. Journal of Entomology and Zoology Studies, 5(5), 935–940.

Sowmiya, C., Srinivasan, M. R., & Saravanan, P. A. (2019). Bowl trap sampling to study pollinator diversity in moringa ecosystem. Innovative Farming, 4(3), 167–173.

Sowmiya, C., Murugan, M., Saravanan, P. A., Suganthi, A., & Bhuvaneswari, K. (2022). Impact of neonicotinoid insecticides on the foraging preference of Indian honey bee, Apis cerana indica (Fab.) (Hymenoptera, Apidae) visiting sunflower (Helianthus annuus L.). Current Journal of Applied Plant and Soil Sciences, 34(10), 85–96.

Chandrasekar, S., Murugan, M., Saravanan, A., Suganthi, A., & [others]. (2022). Impact of neonicotinoid insecticides on the foraging activity of Indian honey bee, Apis cerana indica (Fab.) in the cotton ecosystem. Journal of Current Crop Science and Technology, 109(4–6), 1–10.

Chandrasekar, S., Murugan, M., Mannu, J., Saravanan, A., & [others]. (2025). Indian honey bees (Apis cerana indica) detoxify imidacloprid and clothianidin: In silico and in vivo analyses of key detoxifying enzymes. Journal of Apicultural Research. Advance online publication.

Shweta, K., Saminathan, V. R., Sowmiya, C., Preetha, G., Srinivasan, M. R., … (2025). Flying sperm: The indispensable component of the instrumental insemination of honey bees: A review. Indian Journal of Animal Research, 1, 10.

Chandrasekar, S., Murugan, M., Suganthi, A., Saravanan, A., & [others]. (2025). Effects of neonicotinoid residues in Apis cerana indica bees and bee products: LC-MS/MS analysis and dietary risk assessment in a sunflower field study. Ecotoxicology. Advance online publication.

Shanthi, M., Saminathan, V. R., Srinivasan, M. R., Ravivarman, S., Preetha, G., Murugan, M., … (2025). Success stories of Tamil Nadu beekeepers (Tamil). Coimbatore: TNAU Press.

Saminathan, V. R., & Sowmiya, C. (2025). Profitable beekeeping. Chennai: New Century Book House.

Krishnamoorthy, S. V., Sowmiya, C., Preetha, G., Saminathan, V. R., & Srinivasan, M. R. (2025). Know more entomology. Coimbatore: TNAU Press.

Sowmiya, C., & Srinivasan, M. R. (2024). Beekeeping: An element of entomology. New Delhi: Kalyani Publications.

Sowmiya, C., Srinivasan, M. R., Vasanthakumar, S., & Saravanan, P. A. (2020). Foraging activity of Indian honey bee at the hive entrance. In Multi-dimensional approaches in transforming agriculture (p. 179).

Sowmiya, C., Srinivasan, M. R., Saravanan, P. A., & Kumaran, K. M. (2017). Foraging behaviour of Indian honey bee, Apis cerana indica (Fab.) (Hymenoptera, Apidae) based on activity at hive entrance in moringa, Moringa oleifera (Lam.).

Caroline Neuberg | Research Excellence | Best Researcher Award

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Dr. Caroline Neuberg | Research Excellence | Best Researcher Award

Leeds Trinity University | United Kingdom

Dr. Caroline Neuberg is a dedicated science educator and researcher whose career bridges physical volcanology and transformative science education. With a PhD in Physical Volcanology, international postdoctoral experience, and leadership roles in both academia and schools, she has consistently advanced innovative approaches to science teaching. Her pioneering work in establishing school seismometer networks in New Zealand and England has brought real-world research into classrooms, inspiring young learners to engage with authentic scientific inquiry. A Fellow of the Higher Education Academy and Chartered Science Teacher, she was recognized with the Royal Astronomical Society’s Sir Patrick Moore Medal for Education, underscoring her exceptional impact on science communication and education.

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Featured Publications

Neuberg, C. M. A., Davies, A., & Nourshargh, E. M. (2025). The elephant in the science staff room: An investigation into the mathematical skills and confidence of pre-service science teachers. International Journal of Science Education, 47(11), 2557601.