MInjie Wang | Pharmacology, Toxicology and Pharmaceutical Science | Research Excellence Award

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Prof. Minjie Wang | Pharmacology, Toxicology and Pharmaceutical Science | Research Excellence Award

Inner Mongolia Medical University | China

Prof. Minjie Wang is an accomplished biomedical researcher with a strong scholarly record, reflected by an h-index of 6, 15 peer-reviewed documents, and 93 citations. His research focuses on the discovery and functional characterization of active substances from Traditional Chinese Medicine and Mongolian Medicine, with particular emphasis on the pathological mechanisms of cardiovascular and cerebrovascular diseases and the identification of therapeutic drug targets. A major theme of his work is the role of AMP-activated protein kinase (AMPK) in vascular inflammation, endothelial dysfunction, atherosclerosis, metabolic syndrome, and adipose tissue remodeling. His studies integrate advanced in vivo animal models—including atherosclerosis, myocardial ischemia-reperfusion injury, arrhythmia, and cerebral ischemia—with comprehensive in vitro approaches encompassing cell culture, molecular biology, immunohistochemistry, and biochemical analysis. Prof. Wang has published extensively in high-impact journals such as European Heart Journal, Cell Death & Disease, Frontiers in Microbiology, Acta Pharmacologica Sinica, and European Journal of Pharmacology, contributing significant insights into vascular biology, inflammation, metabolism, and translational pharmacology. His work also includes patented innovations related to AMPK activators for vascular inflammation and endothelial protection, underscoring both scientific depth and translational relevance.

 

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Saraswathy Shamini Gunasekaran | Computer Science | Research Excellence Award

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Assoc. Prof. Dr. Saraswathy Shamini Gunasekaran | Computer Science | Research Excellence Award

Taylor's University | Malaysia

Assoc. Prof. Dr. Saraswathy Shamini Gunasekaran is an accomplished researcher and academic specializing in Artificial Intelligence, with a strong focus on agent-based systems, intelligent autonomous systems, machine learning applications, smart energy systems, and climate change–related digital intelligence. Her scholarly impact is reflected in an h-index of 16, with 70 research documents generating 899 citations across international indexing platforms, demonstrating sustained influence in AI-driven and interdisciplinary research domains. Her work spans collective intelligence, knowledge transfer models, data mining, educational technologies, and intelligent digitalization, with publications appearing in IEEE conferences, international journals, and Springer book chapters. In addition to academic publishing, she has led significant intellectual property initiatives, including a granted patent on cooperative control systems for unmanned aerial platforms, utility innovations in autonomous multi-UAV task allocation, and copyrighted micro-credential programs. Her research excellence has been recognized through multiple prestigious awards, including international science communication accolades, industry research honors, and selection for global digital leadership programs. With over two decades of academic engagement and active research contributions, her profile reflects a strong integration of theoretical innovation, applied intelligence systems, and impactful scholarly dissemination across AI, energy, education, and digital transformation domains.

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Exploring the Roles of Agents and Multi-Agent in Improving Mobile Ad Hoc Networks
– International Symposium on Agents, Multi-Agent Systems and Robotics, ISAMSR, 2021

 

Mridula Pandey | Nutrition and Dietetics | Research Excellence Award

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Dr. Mridula Pandey | Nutrition and Dietetics | Research Excellence Award

Quantum University Roorkee | India

Dr. Mridula Pandey is an active researcher in the fields of nutrition, dietetics, food science, and community health, with a strong focus on functional foods, millets, women’s health, and sustainable nutrition. Her scholarly profile reflects 36 citations across peer-reviewed literature, with an h-index of 3, i10-index of 1, and a growing body of impactful research contributions. She has authored and co-authored multiple research articles in national and international journals addressing dietary assessment tools, mental health–nutrition linkages, menopausal nutrition, millet-based product development, and food security, along with several books and book chapters on millets, phytochemicals, nutraceuticals, and public nutrition. Her intellectual contributions also extend to innovation, with a registered patent on a traditional millet-based culinary product. Recognized for research excellence, she has received the Young Professional Award (2024) and multiple Best Oral and Poster Presentation Awards at international and national conferences. Her academic engagement includes extensive conference presentations, popular science articles, and knowledge dissemination through media outreach and invited lectures. Collectively, her research output, citation impact, and interdisciplinary expertise demonstrate a sustained commitment to advancing evidence-based nutrition science, community health interventions, and sustainable food systems.

 

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Sakthivel Gandhi | Materials Science | Best Researcher Award

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Dr. Sakthivel Gandhi | Materials Science | Best Researcher Award

Changwon National University | South Korea

Dr. Sakthivel Gandhi is a prolific researcher with significant contributions to nanomaterials, photoluminescence, electrochemical sensing, and hybrid material development, supported by an academic record of 956 citations, an h-index of 18, and an i10-index of 33. His research spans phosphor materials for photovoltaic and lighting applications, upconverting nanoparticles, polymer–MnO₂ nanocomposites for sanitizer technologies, and photocatalytic materials for antibiotic degradation in water. He works extensively on hybrid and mesoporous materials, remote phosphors, carbon- and silica-based nanostructures, metal–organic frameworks, and POSS-based systems. His publication profile, comprising more than 150 cumulative impact factor points, reflects strong multidisciplinary output across materials chemistry, electrochemistry, optoelectronics, and environmental engineering. He has developed innovations translated into patents, including mesoporous silica–based theranostic tools and advanced nanocomposites for electrochemical sensing. His entrepreneurial work includes the development of SENSOIL, a rapid free-radical detection tool for cooking oil, and Hutch-Patch, a sneeze sanitizer. In addition to journal contributions, he has authored book chapters and delivered numerous invited talks at international conferences, presenting advances in phosphor technologies, upconverting nanomaterials, and porous material applications. His overall scholarly record demonstrates sustained impact across nanotechnology, applied materials research, and translational sensor technologies.

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Anna Schiefer | Medicine and Dentistry | Research Excellence Award

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Ms. Anna Schiefer | Medicine and Dentistry | Research Excellence Award

Charité – Universitätsmedizin Berlin | Germany

Ms. Anna Schiefer is an emerging researcher whose work focuses on fracture-related infections, prosthetic joint infections, and regenerative approaches in orthopaedics and traumatology. Her research has been presented at several major international conferences, including the Fracture-Related Infections Workshop and Prosthetic Joint Infections Workshop hosted by the PRO-IMPLANT Foundation, as well as the 6th Congress of the European Society of Tissue Regeneration in Orthopaedics and Traumatology and multiple annual meetings of the European Bone and Joint Infection Society. She has contributed posters and oral presentations highlighting key findings from her doctoral research on infection characteristics and outcomes following intramedullary nailing in femur and tibia fractures. Her scholarly engagement began early, with participation in academic meetings such as the Material Driven Regeneration Annual Meeting, Orthopedic Science Day at Maastricht University, the Omkadering van Jonge Onderzoekers Initiative at KU Leuven, and the MOSA biomedical research conference. She has received competitive scholarships from the PRO-IMPLANT Foundation to support cohort studies on fracture-related and prosthetic joint infections, reflecting the clinical relevance of her work. Her contributions have earned notable recognition, including the Silver Prize for Free Papers at the 6th ESTROT Congress. Her 2026 journal article in Injury further underscores her contributions to infection research within trauma surgery.

Profile : Orcid

Featured Publication

**Schiefer, A., Renz, N., Steiner, G., Märdian, S., Stöckle, U., Trampuz, A., & Meller, S. (2026). Infection after intramedullary nailing for femur and tibia fractures: Characteristics and outcome analysis. Injury.

Petro Pavlenko | Engineering | Research Excellence Award

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Prof. Dr. Petro Pavlenko | Engineering | Research Excellence Award

Zhejiang Ocean University | China

Prof. Dr. Petro Pavlenko is a distinguished researcher whose contributions span engineering design, CAD/CAM/CAE/PDM systems, digital manufacturing, and integrated information environments for industrial applications. With an h-index of 4, 27 documents, and 53 citations, his scholarship reflects both depth and sustained relevance across engineering and information technology domains. His research encompasses automation of design processes, digital 3D modeling, production data management, logical-dynamic models for information security, digital twins, robotics, energy lifecycle management, and industrial information system integration. He has produced more than 250 scientific publications, including 43 international journal papers, alongside 9 patents and multiple influential textbooks and monographs on mathematical modeling, information systems, and production automation. His leadership roles include chairing specialized academic councils, contributing to expert committees in informatics and cybernetics, directing research laboratories, and guiding PhD program development. Collaborations with universities and research centers across Ukraine, Kazakhstan, Germany, France, Latvia, and Russia have supported advancements in automated manufacturing, robot trajectory planning, and industrial data technologies. His recent works focus on additive manufacturing, microstructure–hardness modeling, digital energy systems, and intelligent information support, reinforcing his impact on modern engineering innovation and computational design methodologies.

 

 

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Haiwei Wu | Engineering | Best Researcher Award

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Prof. Dr. Haiwei Wu | Engineering | Best Researcher Award

Jilin Agricultural University | China

Prof. Dr. Haiwei Wu is an emerging multidisciplinary researcher whose contributions span energy systems, machine learning, spectroscopy, and intelligent diagnostics. His recent research focuses on advanced computational methods applied to energy storage and electric vehicle systems, including the development of an attention-based multi-feature fusion physics-informed neural network for accurate state-of-health estimation of lithium-ion batteries and the application of queuing-theoretic models for sustainable EV charging infrastructure planning. Beyond energy research, he has contributed significantly to the use of mid-infrared spectroscopy combined with machine learning and support vector machines for the authentication and identification of biological and agricultural products, reflecting strong capabilities in analytical modeling and pattern recognition. His publications from 2022 to 2025 highlight expertise in spectral analysis, counterfeit detection, and quality assessment. In addition, he has explored applications of improved YOLOv8 for mechanical part inspection and contributed to research on task-driven cooperative inquiry learning in education. His innovative work is supported by several patents related to electric vehicle charging technologies, demonstrating a commitment to advancing practical, technology-driven solutions across sectors.

Profile : Scopus | Orcid

Featured Publications

Wu, H., Liu, J., Wang, Z., & Li, X. (2025). An attention-based multi-feature fusion physics-informed neural network for state-of-health estimation of lithium-ion batteries. Energies.

Wang, Z., Zou, J., Tu, J., Li, X., Liu, J., & Wu, H. (2025). Towards sustainable EV infrastructure: Site selection and capacity planning with charger type differentiation and queuing-theoretic modeling. World Electric Vehicle Journal.

He, T., Kaimin, W., & Wu, H. (2025). Research on the construction and implementation of a task-driven cooperative inquiry learning model for postgraduate students majoring in music education. Chinese Music Education, (05), 47–53.

Yang, C.-E., Wu, H., Yuan, Y., et al. (2025). Efficient recognition of plum blossom antler hats and red deer antler hats based on support vector machine and mid-infrared spectroscopy. Journal of Jilin Agricultural University, 1–7.

Yang, C.-E., Su, L., Feng, W.-Z., Zhou, J.-Y., Wu, H.-W., Yuan, Y.-M., & Wang, Q. (2023). Identification of Pleurotus ostreatus from different producing areas based on mid-infrared spectroscopy and machine learning. Spectroscopy and Spectral Analysis.

Yang, C.-E., Su, L., Feng, W., et al. (2023). Identification of Pleurotus ostreatus from different origins by mid-infrared spectroscopy combined with machine learning. Spectroscopy and Spectral Analysis, 43(02), 577–582.

Yang, C.-E., Wu, H.-W., Yang, Y., Su, L., Yuan, Y.-M., Liu, H., Zhang, A.-W., & Song, Z.-Y. (2022). A model for the identification of counterfeited and adulterated Sika deer antler cap powder based on mid-infrared spectroscopy and support vector machines. Spectroscopy and Spectral Analysis.

Yang, C.-E., Wu, H., Yang, Y., et al. (2022). Identification model of counterfeiting and adulteration of plum blossom antler cap powder based on mid-infrared spectroscopy and support vector machine. Spectroscopy and Spectral Analysis, 42(08), 2359–2365.

Fucan Huang | Engineering | Excellence in Research Award

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Dr. Fucan Huang | Engineering | Engineering | Excellence in Research Award

Shandong University of Science and Technology | China

Dr. Fucan Huang is an emerging researcher in mechanical fault diagnosis, known for advancing intelligent diagnostic methods through deep learning, multi-attention mechanisms, and cross-domain adaptability. His work focuses on improving fault detection accuracy in complex industrial environments, particularly under fluctuating conditions, imbalanced datasets, and multi-source domain challenges. He has contributed significantly to Measurement Science and Technology and Machines, co-authoring several influential papers. His research includes the development of an adaptive attenuation self-attention adversarial network for cross-domain diagnosis, a multi-source domain collaborative bearing fault method guided by multi-attention mechanisms, and innovative dual-domain vision transformer frameworks. These contributions enhance the robustness, generalizability, and interpretability of diagnostic models, strengthening intelligent maintenance systems and promoting safer, more efficient industrial operations.

Profile : Orcid

Featured Publications

An, Y., Zhang, D., Zhang, M., Xin, M., Wang, Z., Ding, D., Huang, F., & Wang, J. (2025). Residual attention-driven dual-domain vision transformer for mechanical fault diagnosis. Machines, 13(12), Article 1096.

Huang, F., Zhang, Q., Han, B., Wang, J., Zhang, Z., Ge, R., & Gong, H. (2025). Adaptive attenuation self-attention adversarial network for cross-domain fault diagnosis under imbalanced conditions. Measurement Science and Technology, 31 December 2025.

Ge, R., Zhang, Z., Wang, J., Wang, W., Fan, Z., & Huang, F. (2025). Multi-source domain bearing fault collaborative diagnosis method for unbalanced samples guided by multi-attention mechanism. Measurement Science and Technology, 30 November 2025.

Han, B., Huang, F., Qin, M., Qin, H., Wang, J., Zhang, Z., & Yu, Y. (2025). Dual-domain fused vision transformer for mechanical fault diagnosis under fluctuating working conditions. Measurement Science and Technology, 30 April 2025.

Yucheng Lu | Neuroscience | Research Excellence Award

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Prof. Yucheng Lu | Neuroscience | Research Excellence Award

Linyi People's Hospital | China

Prof. Yucheng Lu is a distinguished researcher whose scholarly contributions span cancer biology, immunology, and translational biomedical sciences. With 352 citations, 26 indexed publications, and an h-index of 13, he has established a strong research footprint in molecular oncology and disease pathology. Over his academic career, he has published 40 peer-reviewed papers, including 25 as first or corresponding author, reflecting consistent leadership in scientific inquiry. His work encompasses cutting-edge topics such as tumor-associated macrophage regulation in glioma, prognostic biomarkers in low-grade glioma, colorectal cancer therapeutics, and single-cell transcriptomics in esophageal cancer. In addition, he has explored metabolic and immunological disease interactions, cancer proliferation mechanisms, and neural electrophysiological responses. As a principal investigator, he has led 7 provincial and municipal research projects and contributed to 8 national and ministerial-level initiatives, demonstrating strong project management and interdisciplinary collaboration. His research excellence has earned 3 Science and Technology Achievement Awards, alongside innovations represented by 1 invention patent and 6 software copyrights. Through these achievements, Prof. Lu continues to advance biomedical research with significant scientific, clinical, and technological impact.

Profile : Scopus | Orcid

Featured Publications

Shi, H., Cheng, Y., Chao, D., Song, Q., Han, L., Li, H., Lu, Y., & Wang, M. (2025). Spatiotemporal profiling of endocytic regulators in the immunosuppressive TAM microenvironment of glioma. Brain Research, 150086. (In press)

Author names not provided. (2025). Identification of CDKN3 overexpression as a marker of poor prognosis and potential therapeutic target in low-grade glioma. Scientific Reports.

Author names not provided. (2025). Okanin suppresses the growth of colorectal cancer cells by targeting Peroxiredoxin 5. Advanced Science.

Shi, K., Li, Y., Yang, L., Zhang, Z., Guo, D., Zhang, J., & Lu, Y. (2022). Profiling transcriptional heterogeneity of epithelium, fibroblasts, and immune cells in esophageal squamous cell carcinoma by single-cell RNA sequencing. The FASEB Journal, 0892-6638.

Zhao, J. Z., Lu, Y. C., Wang, Y. M., Xiao, B. L., Li, H. Y., Lee, S. C., & Wang, L. J. (2022). Association between diabetes and acute lymphocytic leukemia, acute myeloid leukemia, non-Hodgkin lymphoma, and multiple myeloma. International Journal of Diabetes in Developing Countries, 0973-3930.

Shi, K., Zhang, J. Z., Yang, L., Li, N. N., Yue, Y., Du, X. H., Zhang, X. Z., Lu, Y. C., & Guo, D. (2021). Protein deubiquitylase USP3 stabilizes Aurora A to promote proliferation and metastasis of esophageal squamous cell carcinoma. BMC Cancer, 1471-2407.

Lu, Y., Lv, B., & Song, Q. (2019). Transcranial electrical stimulation motor-evoked potentials in a spinal cord ischaemia rabbit model. Chinese Neurosurgical Journal, 2057-4967.

Lu, Y. C., Wang, P., Wang, J., Ma, R., & Lee, S. C. (2019). PCNA and JNK1-Stat3 pathways respectively promote and inhibit diabetes-associated centrosome amplification by targeting the ROCK1/14-3-3σ complex in human colon cancer HCT116 cells. Journal of Cellular Physiology.

Bo Zhang | Computer Science | Research Excellence Award

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Assoc. Prof. Dr. Bo Zhang | Computer Science | Research Excellence Award

Northwest Polytechnic University | China

Assoc. Prof. Dr. Bo Zhang is an accomplished researcher whose work spans remote sensing, geospatial intelligence, environmental monitoring, and machine learning–driven Earth observation analytics. With 252 citations,  an h-index of 7, and 5, i10-index publications, his scholarly contributions demonstrate a growing and impactful presence in environmental data science. His research advances high-resolution satellite image processing, atmospheric pollutant estimation, digital elevation model reconstruction, and intelligent geospatial mapping. He has produced notable work on transfer learning–enhanced remote sensing, sparse-sample super-resolution mapping, neural-network–based PMx estimation, land surface temperature retrieval, and ozone concentration modeling. His publications in leading journals such as IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Science Bulletin, Remote Sensing, and Indoor and Built Environment highlight his expertise in integrating artificial intelligence with satellite observations to address environmental challenges. His research also contributes to epidemiological spatial analysis and geospatial data fusion, offering multidisciplinary value in Earth system science. Through continuous work on novel algorithms and high-fidelity environmental datasets, he has strengthened the scientific foundation for climate monitoring, pollution assessment, and large-scale geospatial modeling, positioning him as a significant contributor to advanced remote sensing and environmental informatics.

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Featured Publications

Yang, C., Zhang, B., Zhang, M., Wang, Q., & Zhu, P. (2025). Research on decision-making strategies for multi-agent UAVs in island missions based on Rainbow Fusion MADDPG algorithm. Drones, 9(10), 673.

Zhang, B., Shi, Z., Hong, D., Wang, Q., Yang, J., Ren, H., & Zhang, M. (2025). Super-resolution reconstruction of the 1 arc-second Australian coastal DEM dataset. Geo-Spatial Information Science, 1–21.


Zhang, B., Xiong, W., Ma, M., Wang, M., Wang, D., Huang, X., Yu, L., Zhang, Q., & others. (2022). Super-resolution reconstruction of a 3 arc-second global DEM dataset. Science Bulletin, 67(24), 2526–2530.


Pan, D., Zhang, M., & Zhang, B. (2021). A generic FCN-based approach for road-network extraction from VHR remote sensing images using OpenStreetMap as benchmarks. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.


Zhang, B., Zhang, M., Kang, J., Hong, D., Xu, J., & Zhu, X. (2019). Estimation of PMx concentrations from Landsat 8 OLI images based on a multilayer perceptron neural network. Remote Sensing, 11(6), 646.


Zhu, B., Liu, J., Fu, Y., Zhang, B., & Mao, Y. (2018). Spatio-temporal epidemiology of viral hepatitis in China (2003–2015): Implications for prevention and control policies. International Journal of Environmental Research and Public Health, 15(4), 661.