Lingmin Zhang | Pharmacology, Toxicology and Pharmaceutical Science | Research Excellence Award

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Prof. Lingmin Zhang | Pharmacology, Toxicology and Pharmaceutical Science | Research Excellence Award

Guangzhou Medical University | China

Prof. Lingmin Zhang is a leading researcher whose work integrates pharmaceutics, biomedical materials, and gene delivery, contributing significantly to advanced therapeutic strategies, particularly in lung cancer and inflammatory diseases. With 3,077 citations , 79 publications, and an h-index of 27, the researcher's scholarly impact is widely recognized. The work focuses on innovative nano-based and biomimetic delivery platforms, including nano-PROTACs, exosomes, microfluidic nanovesicles, and CRISPR/Cas9 carriers, offering transformative possibilities for targeted and precision medicine. Supported by major grants from the National Natural Science Foundation of China (projects 82572415, 82072047, 81700382), the researcher has developed cutting-edge strategies such as reprogramming tumor-associated macrophages, overcoming drug resistance in lung cancer, and reversing epigenetic silencing through nanoparticle-mediated gene delivery. Influential publications in high-impact journals—including Journal of Controlled Release, Drug Resistance Updates, ACS Nano, Angewandte Chemie, Advanced Science, and Molecular Cancer—highlight breakthroughs in nano-therapeutics, PROTAC technologies, artificial exosomes, and nucleic-acid delivery systems. Collectively, these contributions position the researcher at the forefront of translational nanomedicine, with ongoing work offering new directions for precision oncology, regenerative strategies, and next-generation drug delivery platforms.

Profile : Scopus | Orcid

Featured Publication

He, M., Peng, Q., Yang, Q., Guan, X., Liu, Q., Chen, R., Zhou, D., Wang, L., Zhang, Y., Li, S., Su, J., & Zhang, L. (2026). In situ reprogramming of tumor associated macrophages with versatile nano-epigenetic inhibitor for lung cancer therapy. Journal of Controlled Release, 2026, 114497.

Zhang, L., He, L., Lin, Y., Wei, J., Tang, S., Lei, X., Lin, X., Zhou, D., Fu, L., Li, Y., He, J., Liang, L., & Yu, X. (2026). The novel strategy to overcome drug-resistant lung cancer: Dual targeting delivery of PROTAC to inhibit cancer-associated fibroblasts and lung cancer cells. Drug Resistance Updates, 84, 101316.

Chen, S., Chen, E., Su, J., Gong, Y., Tang, S., Qin, A., Shen, A., Tang, S., & Zhang, L. (2025). Magnetically navigated nano-PROTAC ameliorates acute lung injury. Journal of Nanobiotechnology, 23, 622.

Li, X., Qin, Z., Wang, S., Zhang, L., & Jiang, X. (2025). Microfluidics-assembled nanovesicles for nucleic acid delivery. Accounts of Chemical Research, 58, 570–582.

Liang, L., Peng, W., Qin, A., Zhang, J., Chen, R., Zhou, D., Zhang, X., Zhou, N., Yu, X., & Zhang, L. (2024). Intracellularly synthesized artificial exosome treats acute lung injury. ACS Nano, 18(32), 21009–21023.

Guan, X., Xu, X., Tao, Y., Deng, X., He, L., Lin, Z., Chang, J., Huang, J., Zhou, D., Yu, X., Wei, M., & Zhang, L. (2024). Dual targeting and bioresponsive nano-PROTAC induced precise and effective lung cancer therapy. Journal of Nanobiotechnology, 22, 692.

Zhang, L., Lin, Y., Li, S., Guan, X., & Jiang, X. (2023). In situ reprogramming of tumor-associated macrophages with internally and externally engineered exosomes. Angewandte Chemie International Edition, 62(11), e202217089.

Liang, L., Cen, H., Huang, J., Qin, A., Xu, W., Wang, S., Chen, Z., Tan, L., Zhang, Q., Yu, X., Yang, X., & Zhang, L. (2022). The reversion of DNA methylation-induced miRNA silence via biomimetic nanoparticles-mediated gene delivery for efficient lung adenocarcinoma therapy. Molecular Cancer, 21(1), 186.

Zhang, H., Peng, R., Chen, S., Shen, A., Zhao, L., Tang, W., Wang, X., Li, Z., Zha, Z., Yi, M., & Zhang, L. (2022). Versatile nano-PROTAC-induced epigenetic reader degradation for efficient lung cancer therapy. Advanced Science, 9(29), 2202039.

Zhang, L., Wang, L., Xie, Y., Wang, P., Deng, S., Qin, A., Zhang, J., Yu, X., Zheng, W., & Jiang, X. (2019). Triple-targeting delivery of CRISPR/Cas9 to reduce the risk of cardiovascular diseases. Angewandte Chemie International Edition, 58(36), 12404–12408.

Judith Röske | Biochemistry, Genetics and Molecular Biology | Women Research Award

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Mrs. Judith Röske | Biochemistry, Genetics and Molecular Biology | Women Research Award

University of Luebeck | Germany

Mrs. Judith Röske is a dedicated researcher with a strong focus on molecular virology, antiviral drug discovery, and protease-targeted therapeutic development, contributing to 13 scientific publications across high-impact journals. Her work explores the binding behavior of small-molecule inhibitors to viral 3C proteases, including SARS-CoV-2, EV-D68, EV-A71, and HAV, as well as host proteases such as cathepsins and calpain-1. With expertise in photometry, nanoDSF, MST, and SPR, she has optimized methods for determining key biochemical parameters such as IC₅₀, Tm, and Kᴅ, enabling the effective screening of lead compounds for broad-spectrum antivirals. Her research further investigates RNA-binding mechanisms in HAV 3C protease, shedding light on dual-targeting strategies that may advance anti-picornaviral drug development. She has contributed to influential studies on SARS-CoV-2 main protease inhibitors, including work on novel warhead chemistries, α-ketoamide derivatives, and diastereomeric optimization, reinforcing her impact in antiviral medicinal chemistry. Additionally, earlier contributions in transplant biology and liver preservation highlight her versatility in biochemical and molecular research. Through rigorous structural, kinetic, and biophysical analyses, her body of work adds valuable insight into protease inhibition and therapeutic innovation, supported by a growing citation record within the scientific community.

Profiles : Scopus | Orcid

Featured Publications

Theodoropoulou, M. A., El Kilani, H., Mantzourani, C., Jochmans, D., Neyts, J., Zhang, K., Röske, J., Kokotou, M. G., Hilgenfeld, R., & Kokotos, G. (2025). Thiazolyl 4-carboxylate ketone as a new warhead for a highly potent SARS-CoV-2 main protease inhibitor. European Journal of Medicinal Chemistry, 25(11), 118436.

Akula, R. K., El Kilani, H., Metzen, A., Röske, J., Zhang, K., Göhl, M., Arisetti, N., Marsh, G. P., Maple, H. J., Cooper, M. S., et al. (2025). Structure-based optimization of pyridone α-ketoamides as inhibitors of the SARS-CoV-2 main protease. Journal of Medicinal Chemistry, 68(1).

Cooper, M. S., Zhang, L., Ibrahim, M., Zhang, K., Sun, X., Röske, J., Göhl, M., Brönstrup, M., Cowell, J. K., Sauerhering, L., et al. (2022). Diastereomeric resolution yields highly potent inhibitor of SARS-CoV-2 main protease. Journal of Medicinal Chemistry.

Bernard, V., Gebauer, N., Dinh, T., Stegemann, J., Feller, A. C., & Merz, H. (2014). Applicability of next-generation sequencing to decalcified formalin-fixed and paraffin-embedded chronic myelomonocytic leukaemia samples. International Journal of Clinical and Experimental Pathology.

Le Minh, K., Berger, A., Eipel, C., Kuhla, A., Minor, T., Stegemann, J., & Vollmar, B. (2011). Uncoupling protein-2 deficient mice are not protected against warm ischemia/reperfusion injury of the liver. Journal of Surgical Research, 167.

Stegemann, J., Hirner, A., Rauen, U., & Minor, T. (2010). Use of a new modified HTK solution for machine preservation of marginal liver grafts. Journal of Surgical Research.

Koetting, M., Stegemann, J., & Minor, T. (2010). Dopamine as additive to cold preservation solution improves postischemic integrity of the liver. Transplant International, 23.

Minor, T., Stegemann, J., Hirner, A., & Koetting, M. (2009). Impaired autophagic clearance after cold preservation of fatty livers correlates with tissue necrosis upon reperfusion and is reversed by hypothermic reconditioning. Liver Transplantation.

Stegemann, J., & Minor, T. (2009). Energy charge restoration, mitochondrial protection and reversal of preservation-induced liver injury by hypothermic oxygenation prior to reperfusion. Cryobiology.

Stegemann, J., Hirner, A., Rauen, U., & Minor, T. (2009). Gaseous oxygen persufflation or oxygenated machine perfusion with Custodiol-N for long-term preservation of ischemic rat livers? Cryobiology.

Le Minh, K., Kuhla, A., Abshagen, K., Minor, T., Stegemann, J., Ibrahim, S., Eipel, C., & Vollmar, B. (2009). Uncoupling protein-2 deficiency provides protection in a murine model of endotoxemic acute liver failure. Critical Care Medicine.

Manekeller, S., Seinsche, A., Stegemann, J., & Hirner, A. (2008). Optimising post-conditioning time of marginal donor livers. Langenbeck's Archives of Surgery.

Manekeller, S., Schuppius, A., Stegemann, J., Hirner, A., & Minor, T. (2007). Role of perfusion medium, oxygen and rheology for endoplasmic reticulum stress-induced cell death after hypothermic machine preservation of the liver. Transplant International.

Chao Wang | Computer Science | Research Excellence Award

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Mr. Chao Wang | Computer Science | Research Excellence Award

North China University of Technology | China

Mr. Chao Wang is an accomplished researcher whose work spans vehicular networks, IoT security, blockchain mechanisms, and food engineering applications, reflecting a multidisciplinary impact. With 809 citations, an h-index of 12, and 16 i10-index publications, he has established a strong scholarly presence supported by numerous high-impact journal articles and competitive conference papers. His research contributions include advanced blockchain-based frameworks for secure communication, innovative privacy-preserving data-sharing models, anomaly detection algorithms for intelligent vehicles, and distributed system security. He has also co-authored influential studies on anti-glycation mechanisms, food bioactive compounds, and cellular protection. His publications from 2021 to 2025 demonstrate consistent output across IEEE Transactions, Future Generation Computer Systems, Food Biomacromolecules, and other reputable venues. His work on collaborative quality control, CAN bus anomaly detection, distributed GAN attack resistance, and multi-party payment channels represents notable advancements in secure systems. He has also contributed to reviews on AGEs inhibition, IoV security, NGS applicability, and blockchain-enabled vehicular applications. Beyond technical innovation, his research extends to biologically focused studies that explore glycation inhibition, fermentation mechanisms, and cellular oxidative protection. Across domains, his scholarly contributions continue to advance secure intelligent systems, data integrity solutions, and interdisciplinary applications, reinforcing his role as a productive and influential researcher.

Profiles : Orcid | Google Scholar

Featured Publications

Bao, C., Niu, Z., He, B., Li, Y., Han, S., Feng, N., Huang, H., Wang, C., Wang, J., & others. (2025). A novel high‐protein composite rice with anti‐glycation properties prepared with crushed rice flour, whey protein and lotus seed proanthocyanidins. Food Biomacromolecules, 2(1), 23–34.

He, Y., Zhou, Z., Wu, B., Xiao, K., Wang, C., & Cheng, X. (2024). Game-theoretic incentive mechanism for collaborative quality control in blockchain-enhanced carbon emissions verification. IEEE Transactions on Network Science and Engineering.

Li, Q., Xiao, K., Yi, C., Yu, F., Wang, W., Rao, J., Liu, M., Zhang, L., Mu, Y., Wang, C., & others. (2024). Inhibition and mechanism of protein nonenzymatic glycation by Lactobacillus fermentum. Foods, 13(8), 1183.

Wang, C., Xu, X., Xiao, K., He, Y., & Yang, G. (2024). Traffic anomaly detection algorithm for CAN bus using similarity analysis. High-Confidence Computing, 4(3), 100207.

Xiao, K., Li, J., He, Y., Wang, X., & Wang, C. (2024). A secure multi-party payment channel on-chain and off-chain supervisable scheme. Future Generation Computer Systems, 154, 330–343.

Feng, N., Feng, Y., Tan, J., Zhou, C., Xu, J., Chen, Y., Xiao, J., He, Y., Wang, C., & others. (2023). Inhibition of advance glycation end products formation, gastrointestinal digestion, absorption and toxicity: A comprehensive review. International Journal of Biological Macromolecules, 249, 125814.

Wu, Q., Kong, Y., Liang, Y., Niu, M., Feng, N., Zhang, C., Qi, Y., Guo, Z., Xiao, J., & others. (2023). Protective mechanism of fruit vinegar polyphenols against AGEs-induced Caco-2 cell damage. Food Chemistry: X, 19, 100736.

Wang, C., Liu, X., He, Y., Xiao, K., & Li, W. (2023). Poisoning the competition: Fake gradient attacks on distributed generative adversarial networks. In Proceedings of the IEEE International Conference on Mobile Ad Hoc and Smart Systems.

Xu, X., Wang, L., Wang, C., Zhu, H., Zhao, L., Yang, S., & Xu, C. (2023). Intelligent connected vehicle security: Threats, attacks and defenses. Journal of Information Science & Engineering, 39(6).

Wang, C., Jiang, L., He, Y., Yang, G., & Xiao, K. (2023). Age of information-based channel scheduling policy in IoT networks under dynamic channel conditions. In China Conference on Wireless Sensor Networks (pp. 88–98).

Zhou, J., Wang, C., Luo, M., Liu, X., Xu, X., & Chen, S. (2023). Spatial-temporal based multi-head self-attention for in-vehicle network intrusion detection system. SSRN 4581213.

Wang, C., Wang, S., Cheng, X., He, Y., Xiao, K., & Fan, S. (2022). A privacy and efficiency-oriented data sharing mechanism for IoTs. IEEE Transactions on Big Data, 9(1), 174–185.

Li, Q., Li, L., Zhu, H., Yang, F., Xiao, K., Zhang, L., Zhang, M., Peng, Y., Wang, C., & others. (2022). Lactobacillus fermentum as a new inhibitor to control advanced glycation end-product formation during vinegar fermentation. Food Science and Human Wellness, 11(5), 1409–1418.

Wu, Q., Liang, Y., Kong, Y., Zhang, F., Feng, Y., Ouyang, Y., Wang, C., Guo, Z., & others. (2022). Role of glycated proteins in vivo: Enzymatic glycated proteins and non-enzymatic glycated proteins. Food Research International, 155, 111099.

Wang, C., Cheng, X., Li, J., He, Y., & Xiao, K. (2021). A survey: Applications of blockchain in the Internet of Vehicles. EURASIP Journal on Wireless Communications and Networking, 2021(1), 77.

Xu, S., Chen, X., Wang, C., He, Y., Xiao, K., & Cao, Y. (2021). A lattice-based ring signature scheme to secure automated valet parking. In Wireless Algorithms, Systems, and Applications.

Leema Nelson | Computer Science | Research Excellence Award

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Dr. Leema Nelson | Computer Science | Research Excellence Award

Chitkara University | India 

Dr. Leema Nelson is an accomplished researcher whose scholarly contributions span machine learning, clinical decision support systems, composite materials, signal processing, and intelligent diagnostic frameworks. With a total of 1206 citations, an h-index of 17, and 29 i10-index publications, her research demonstrates both depth and sustained impact across interdisciplinary domains. She has produced numerous high-quality peer-reviewed articles, many in leading Elsevier journals such as Applied Soft Computing and Materials & Design, focusing on neural network optimization, characterization of metal-matrix composites, wear modelling, and advanced computational methods. Her work in clinical data classification, including diabetes and PCOS diagnosis, highlights the integration of artificial intelligence into healthcare decision-making. In recent years, she expanded her research into video smoke detection, cyber-security–based email filtering, audio source separation, and welding parameter optimization using intelligent algorithms. Her studies in deepfake detection, text recognition, and clinical support systems reflect her continuing advancements in data-driven AI models. She has also contributed extensively to IEEE conferences, presenting innovations in masked face detection, ultrasound image analysis, mobile app frameworks, and disease prediction models. Overall, her scientific output reflects strong productivity, interdisciplinary expertise, and meaningful contributions to both computational intelligence and applied engineering research.

Profiles : Scopus | Orcid | Google Scholar

Featured Publications

Jibinsingh, B. R., & Nelson, L. (2025). FL-WOSP: Federated learning with Walrus Optimization for sepsis prediction using MIMIC-III physiological and clinical data. Pattern Recognition. Advance online publication.

Batra, H., & Nelson, L. (2024). ESD: E-mail spam detection using cybersecurity-driven header analysis and machine learning-based content analysis. International Journal of Performability Engineering, 20(4).

Nelson, L. (2024). Data-driven clinical decision support system using neural network topology optimization for PCOS diagnosis. Journal of Soft Computing and Data Mining.

Batra, H., & Nelson, L. (2024). A three-stage deepfake detection framework using deep learning models with multimedia data. International Journal of Intelligent Systems and Applications.

Shanmuga Priya, M., Pavithra, A., & Leema, N. (2024). Character/word modelling: A two-step framework for text recognition in natural scene images. Computer Science.

Batra, H., & Nelson, L. (2023). DCADS: Data-driven computer aided diagnostic system using machine learning techniques for polycystic ovary syndrome. International Journal of Performability Engineering, 19(3).

Kumar, V. A., Rao, C. V. R., & Leema, N. (2023). Audio source separation by estimating the mixing matrix in underdetermined condition using successive projection and volume minimization. International Journal of Information Technology, 15(4), 1831–1844.

Ramesh, A., Sivapragash, M., Ajith Kumar, K. K., & Leema, N. (2023). Investigating the quality of TIG-welded aluminium alloy 5086 using the online acoustic emission and optimization of welding parameters using global best-based modified artificial bee colony algorithm. Transactions of the Indian Institute of Metals, 1–14.

Pranshu Kumar Soni, & Leema, N. (2023). PCP: Profit-driven churn prediction using machine learning techniques in banking sector. International Journal of Performability Engineering, 19(5), 303–311.

Vettum Perumal, S., Suyamburajan, V., Chidambaranathan, V. S., & Nelson, L. (2023). Characterization of microstructure and mechanical behaviour in activated tungsten inert gas welded dissimilar AA joint of AA 5083 and AA 6061 alloys. Journal of the Institution of Engineers (India): Series D, 1–9.

Zilin Zhong | Engineering | Excellence in Research Award

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Dr. Zilin Zhong | Engineering | Excellence in Research Award

Guangzhou Railway Polytechnic | China

Dr. Zilin Zhong is a dedicated researcher whose scholarly contributions span advanced structural dynamics, intelligent materials, and applied artificial intelligence. With 6 h-index, 132 citations, and 13 documents, the research portfolio demonstrates a growing international impact in civil and mechanical engineering domains. His work focuses on the dynamic stability of arch structures, parametric and resonance instability, piezoelectric intelligent structural control, and AI-based recognition techniques, complemented by studies in vocational education. Dr. Zhong has published influential papers in high-ranking journals such as Thin-Walled Structures, Engineering Structures, International Journal of Mechanical Sciences, Journal of Sound and Vibration, and Composite Structures. His investigations include sub-harmonic and simultaneous resonance of thin-walled arches, nonlinear instability of plates and arches under multi-frequency excitation, and stochastic stability of viscoelastic systems. He has also contributed to understanding vibration impacts from metro-induced excitation and dynamic internal forces of arches. Beyond publications, he has developed practical innovations through patents and software, including resonance-based loading devices, piezoelectric transducers for railway vibration energy harvesting, and a track parameter evaluation system. Collectively, his research advances theoretical modeling, experimental validation, and engineering applications in dynamic instability and intelligent structural systems.

Profiles : Scopus | Orcid

Featured Publications

Shen, F., Zhong, Z., Xu, X., Li, J., Dong, Q., & Deng, J. (2025). In-plane simultaneous resonance instability behaviors of a fixed arch under a two-frequency radial uniformly distributed excitation. International Journal of Non-Linear Mechanics, 25(7), Article 105056.

Deng, J., Liu, A., Zhong, Z., & Guangzhou University. (2025). Numerical analysis of dynamic stability of flutter panels in supersonic flow. International Journal of Structural Stability and Dynamics, 25(18).

Zhong, Z., Liu, A., Guo, Y., Xu, X., Deng, J., & Yang, J. (2023). Sub-harmonic and simultaneous resonance instability of a thin-walled arch under a vertical base excitation at two frequencies. Thin-Walled Structures, 191, Article 111094.

Zhong, Z., Liu, A., Fu, J., Pi, Y.-L., Deng, J., & Xie, Z. (2021). Analytical and experimental studies on out-of-plane dynamic parametric instability of a circular arch under a vertical harmonic base excitation. Journal of Sound and Vibration, 500, Article 116011.

Zhong, Z., Liu, A., Pi, Y.-L., Deng, J., Fu, J., & Gao, W. (2021). In-plane dynamic instability of a shallow circular arch under a vertical-periodic uniformly distributed load along the arch axis. International Journal of Mechanical Sciences, 189, Article 105973.

Zhong, Z., Liu, A., Pi, Y.-L., Deng, J., Lu, H., & Li, S. (2019). Analytical and experimental studies on dynamic instability of simply supported rectangular plates with arbitrary concentrated masses. Engineering Structures, 196, Article 109288.

Prasoon Prasenan P | Engineering | Excellence in Innovation Award

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Assist. Prof. Dr. Prasoon Prasenan P | Engineering | Excellence in Innovation Award

College of Engineering Kidangoor | India

Assist. Prof. Dr. Prasoon Prasenan P is an emerging researcher with a growing academic footprint, reflected through 6 citations, an h-index of 1, and multiple scholarly documents spanning engineering, construction materials, and advanced concrete technologies. His contributions encompass a co-authored book on construction materials and an extensive portfolio of innovative patents, including UK-granted designs such as variable dosage digital medical atomizers, autonomous composite mortar gun systems, smart digital flow control valves, and multiple India-granted devices in physiotherapy, smart construction, and signal-quality analytics. He has also filed and published numerous patents in areas such as high-strength concrete, recycled aggregate applications, robotic construction technologies, prefab housing, and low-cost artificial sand development. His research outputs include several papers in Scopus-indexed and UGC Care-listed journals, covering self-curing high-performance concrete, sustainable concrete using recycled plastics, basalt fibre reinforcement, silico-manganese slag incorporation, red mud adsorption, hybrid-fibre-enhanced composites, and fly-ash–based artificial sand. He has also contributed to a major government project on river pollution abatement and rejuvenation, earning formal recognition. With presentations in national and international conferences on smart construction materials, fibre-reinforced composites, and sustainable engineering, his work demonstrates a strong commitment to advancing construction technology, sustainability, and innovative engineering solutions.

Profile : Google Scholar

Featured Publications

Experimental investigation on behaviour of self-curing HPC with bamboo fibre reinforcement and strengthening using HFRP. International Research Journal of Engineering and Technology (IRJET), (pp. 1400–1404). p-ISSN: 2395-0072, e-ISSN: 2395-0056.

Experimental investigation on effect of partial replacement of coarse aggregate by plastic aggregate on M40 grade self-compacting concrete. International Journal of Civil Engineering & Technology (IJCIET), 9(6), 955–963. ISSN 0976-6308 (Print), 0976-6316 (Online).

Durability properties of self-compacting concrete incorporating recycled high density polyethylene plastics. International Journal of Advanced Research in Engineering & Technology (IJARET), 11(11), 382–391. ISSN 0976-6480 (Print), 0976-6499 (Online).

Basalt fibre reinforced polymer for strengthening of self-compacting concrete compression member. Civil Engineering and Architecture, 10(3), 830–835.

Analysis of M60 grade concrete using silico-manganese slag as the partial replacement of coarse and fine aggregates. UGC Care Group I Journal, 12(08:04). ISSN 2347-7180.

Using red mud as an adsorbent to remove crystal violet dye. UGC Care Group I Journal, 12(08:04). ISSN 2347-7180.

Partial replacement of cement with sugar cane bagasse ash and hybrid fibers. UGC Care Group I Journal, 12(08:04). ISSN 2347-7180.

Development of process for creation of low-cost artificial sand from fly ash. UGC Care Group I Journal, 12(08:06). ISSN 2347-7180.

Partial replacement of cement, fine aggregates and coarse aggregates with fly ash, steel slag and recycled aggregates respectively in concrete. Emperor Journal of Applied Scientific Research, 4(09). ISSN 2581-964X.

Experimental study on fiber (hooked steel) reinforced concrete using M-20 grade. Dogo Rangsang Research Journal, 12(12:05). ISSN 2347-7180.

New retrofitting method for soft storey effect. International Journal of Creative Research Thoughts (IJCRT), 11(2). UGC Approved Journal No. 49023.

Zhuowei Luo | Pharmacology, Toxicology and Pharmaceutical Science | Research Excellence Award

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Mr. Zhuowei Luo | Pharmacology, Toxicology and Pharmaceutical Science | Research Excellence Award

Hubei University of Chinese Medicine | China

Mr. Zhuowei Luo is an emerging researcher recognized for effectively integrating classical Traditional Chinese Medicine (TCM) theory with modern biomedical science, demonstrating strong expertise in molecular mechanism analysis and advanced metabolomics for chronic disease research. His notable scientific contribution is a co-authored publication in the Journal of Ethnopharmacology (Q2, IF 5.14), where he helped elucidate how Allium macrostemon delays chronic renal failure by modulating the IL-17 signaling pathway and altering tryptophan and glycerophospholipid metabolism. This work represents the first comprehensive study connecting immunological regulation with multi-omics profiling to explain the therapeutic mechanisms of this TCM herb, providing a meaningful model for modernizing traditional medicine through systems biology. His role in the project included designing and validating qPCR primers, conducting network pharmacology to identify key molecular targets, performing metabolomics and transcriptomics data analyses, and carrying out histopathological assessments. Through these contributions, he demonstrated an advanced ability to apply interdisciplinary approaches—combining immunology, pharmacology, and bioinformatics—to uncover mechanistic insights into natural product–based interventions. His research reflects scientific maturity beyond typical early-stage experience and contributes to the growing evidence supporting data-driven modernization of TCM in chronic disease treatment.

Profile : Orcid

Featured Publication

Zhao, Y., Ge, J. X., Zhang, N., Lei, Z. X., Sun, S. Y., Luo, Z. W., Yang, Y. F., & Wu, H. Z. (2025). Allium macrostemon Bge. delays chronic renal failure by modulating IL-17 signaling pathway and affecting tryptophan/glycerophospholipid metabolism. Journal of Ethnopharmacology, 120946.

Bantalem Tilaye Atinafu | Nursing and Health Professions | Best Scholar Award

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Mr. Bantalem Tilaye Atinafu | Nursing and Health Professions | Best Scholar Award

Debre Berhan University | Ethiopia

Mr. Bantalem Tilaye Atinafu is a prominent researcher at Debre Berhan University, Ethiopia, with a robust academic portfolio comprising  3,411 citations, an h-index of 12, and an i10-index of 13, reflecting significant contributions to nursing, public health, and clinical research. His work spans multiple domains, including diabetes mellitus, oncology, neurodevelopmental and mental health disorders, palliative care, physiotherapy services, critical care, and the long-term impact of COVID-19. He has supervised undergraduate students and co-advised Master of Science nursing projects, mentoring the next generation of healthcare professionals. Atinafu has led several impactful studies, such as investigations into diabetes education program utilization, survival and mortality predictors among colorectal cancer patients, and the association between illness perception and medication adherence in diabetic patients. His ongoing research focuses on implementing diabetes self-management education programs guided by the PRECEDE model and mobile technology in Ethiopia. With over ten original research articles published in reputable peer-reviewed journals, his work has examined social support in cancer patients, anxiety and depression among palliative care patients, malnutrition risk in chemotherapy recipients, diabetic foot ulcer prevalence, neonatal intensive care outcomes, ADHD in children, neural tube defects, patient satisfaction with physiotherapy services, and pulmonary fibrosis post-COVID-19. Collectively, Atinafu’s research demonstrates a sustained commitment to improving patient care, advancing evidence-based practice, and strengthening healthcare systems in Ethiopia.

Profile : Google Scholar

Featured Publications

Belay, B. M., Eshetie, Y., Ewunetu, M. K., Abere, Y., Ewunetu, M., Alem, Z. A., Tarekegn, F. N., & Atinafu, B. T. (2025). Prevalence of pressure ulcer and associated factors in Ethiopia: A systematic review and meta-analysis. BMC Public Health, 25(1), 3896.

Eshete, A., Getye, B., Aynaddis, G., Tilaye, B., Mekonnen, E., Taye, B., Zeleke, D., Deresse, T., Kifleyohans, T., & Assefa, Y. (2023). Association between illness perception and medication adherence in patients with diabetes mellitus in North Shoa Zone: Cross-sectional study. Frontiers in Public Health, 11, 1214725.

Mulu, G. B., Kebede, W. M., Tarekegn, F. N., Engida, A. S., Tiruye, M. E., Atinafu, B. T., et al. (2023). The prevalence and risk factors of chronic kidney disease among type 2 diabetes mellitus follow-up patients at Debre Berhan Referral Hospital, Central Ethiopia. Journal of Clinical Nephrology, 7, 025-031.

Mulu, G. B., Atinafu, B. T., Tarekegn, F. N., Adane, T. D., & Kebede, W. M. (2023). The global prevalence of pulmonary fibrosis among post–COVID-19 follow-up patients: Systematic review and meta-analysis. Infectious Diseases in Clinical Practice, 31(1), e1190.

Endawoke, M., Alem, G., Mulugeta, H., Atinafu, B. T., Nigussie, F., Simachew, A., Shimekaw, A., & Abiye, M. (2021). Patients' satisfaction and associated factors towards physiotherapy services in North West Ethiopia. Patient Preference and Adherence, 15, 2783.

Mulu, G. B., Atinafu, B. T., Tarekegn, F. N., Adane, T. D., Tadese, M., Wubetu, A. D., & Kebede, W. M. (2021). Factors associated with neural tube defects among newborns delivered at Debre Berhan Specialized Hospital, North Eastern Ethiopia, 2021: Case-control study. Frontiers in Pediatrics, 9.

Mulu, G. B., Mohammed, A. Y., Kebede, W. M., Atinafu, B. T., Tarekegn, F. N., Teshome, H. N., Tadese, M., & Wubetu, A. D. (2022). Prevalence and associated factors of attention-deficit hyperactivity disorder among children aged 6–17 years in North Eastern Ethiopia. Ethiopian Journal of Health Sciences, 32(2).

Guido Moro | Medicine and Dentistry | Most Commended Article Award

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Prof. Guido Moro | Medicine and Dentistry | Most Commended Article Award

Associazione Italiana Banche del Latte Umano Donato (AIBLUD) | Italy

Prof. Guido Moro is a highly influential researcher whose work has made substantial contributions to neonatal nutrition, human milk science, and milk bank practices worldwide. With 7,641 citations, 156 scholarly documents, and an h-index of 42, his research has shaped international standards for donor human milk banking, maternal nutrition, and infant health. His extensive publication record includes impactful studies on the antiviral properties of human milk glycosaminoglycans, the influence of maternal Mediterranean diet adherence on milk fatty acid composition, and global assessments of milk bank operations during the COVID-19 pandemic. He has been a key contributor to international guidelines on the establishment, safety, and operation of donor milk banks, as well as to authoritative chapters on human milk quality and safety. Recent works address topics such as viral transmission versus protection through milk, dietary patterns among donor mothers, and the evaluation of novel milk fortification strategies. His leadership extends to major collaborative initiatives, including European and global surveys, expert consensus recommendations, and advancements in pasteurization alternatives for human milk processing. With active participation in 326 conferences and 353 presentations, his scientific influence is recognized across clinical, nutritional, and public health communities, making him a leading authority in human milk research and neonatal nutrition.

Profile : Scopus

Featured Publications

De Nisi, G., Moro, G. E., Arslanoglu, S., Ambruzzi, A. M., Bertino, E., Biasini, A., Profeti, C., Salvatori, G., Tonetto, P., Quitadamo, P. A., et al. (2025). The fourth survey on the activity of human milk banks in Italy. Nutrients, 17, 2663.

Gandino, S., Fantauzzi, A., Danese, N., Quitadamo, P., Merusi, I., & Moro, G. E. (2025). Milk donation following perinatal loss: Insights from a survey across Italian human milk banks. Journal of Biomedical Research & Environmental Sciences, 6(4), 388–393.

Moro, G. E., Girard, M., Peila, C., Garcia, N., Escuder-Vieco, N., Keller, K., Cassidy, T., Bertino, E., Boquien, C.-Y., Buffin, R., Calvo, J., Gaya, A., Gebauer, C., Lamireau, D., Lembo, D., Picaud, J.-C., Wesolowska, A., Arslanoglu, S., Cavallarin, L., & Giribaldi, M. (2024). New alternatives to holder pasteurization in donor milk processing in human milk banks. Frontiers in Nutrition, 11, 1409381.

Coutsoudis, A., Ascherl, R., Bertino, E., Garcia-Lara, N., Moro, G. E., Nangia, S., Picaud, J.-C., Shenker, N., Staff, M., Wesolowska, A., & Weaver, G. (2024). Response to concerns on commercial human milk industry from the Global Alliance of Milk Banks and Associations. Pediatric Research.

Peila, C., Spada, E., Deantoni, S., Borsani, M., Asteggiano, M., Chiale, F., Moro, G. E., Giribaldi, M., Cavallarin, L., Cortinovis, I., & Coscia, A. (2024). The use of a novel donkey milk-derived human milk fortifier in the neonatal period and allergic manifestations: The “Fortilat Trial” follow-up. Breastfeeding Medicine, 19(3), 223–227.

Gandino, S., Bzikowska-Jura, A., Karcz, K., Cassidy, T., Wesolowska, A., Kròlak-Olejnik, B., Klotz, D., Arslanoglu, S., Picaud, J.-C., Boquien, C.-Y., Bertino, E., Moro, G. E., & Weaver, G. (2023). Vegan/vegetarian diet and human milk donation: An EMBA survey across European milk banks. Maternal & Child Nutrition, e13564.

Francese, R., Peila, C., Donalisio, M., Lamberti, C., Cirrincione, S., Colombi, N., Tonetto, P., Bertino, E., Moro, G. E., Coscia, A., & Lembo, D. (2023). Viruses and human milk: Transmission or protection? Advances in Nutrition, 14(6), 1389–1415.

Moro, G. E., & Profeti, C. (2023). Recommendations for addressing food safety concerns in human milk banks. Food Safety Magazine.

Arslanoglu, S., Moro, G. E., Tonetto, P., De Nisi, G., Ambruzzi, A. M., Biasini, A., Profeti, C., Gagliardi, L., Salvatori, G., & Bertino, E. (2023). Recommendations for the establishment and operation of a donor human milk bank. Nutrition Reviews, 81(S1), 1–28.

Bertino, E., Gaya, P. A., & Moro, G. E. (2022). Human milk. In Guide to the Quality and Safety of Tissues and Cells for Human Application (5th ed., pp. 373–383). EDQM.

De Nisi, G., Moro, G. E., Arslanoglu, S., Ambruzzi, A. M., Biasini, A., Profeti, C., Tonetto, P., Bertino, E., & AIBLUD Members. (2022). The third survey on the activity of human milk banks in Italy and the impact of the COVID-19 pandemic. International Journal of Nutrition, 7(2), 31–41.

Di Maso, M., Bravi, F., Ferraroni, M., Agostoni, C., Eussen, S. R. B. M., Decsi, T., Quitadamo, P. A., Tonetto, P., Peila, C., Profeti, C., Salvatori, G., Kazmierska, I., Decarli, A., Vacca, E., Bertino, E., Stahl, B., & Moro, G. E. (2022). Adherence to Mediterranean diet of breastfeeding mothers and fatty acids composition of their human milk: Results from the Italian MEDIDIET study. Frontiers in Nutrition, 9, Article 891376.

Donglin Zu | Physics and Astronomy | Research Excellence Award

Published on by Book of Award

Prof. Donglin Zu | Physics and Astronomy | Research Excellence Award

Peking University | China

Prof. Donglin Zu is a distinguished physicist whose career spans pioneering contributions to electromagnetics, nuclear magnetic resonance (NMR), magnetic resonance imaging (MRI), and, more recently, photon structure theory. His early work involved teaching electromagnetics and developing an independent NMR magnetometer, along with solving key control challenges in high-voltage electrostatic accelerators. His international research experience includes studying RF superconducting cavities at Cornell University, followed by leading a major project on the practical design of niobium cavities. Over two decades, he made significant advances in MRI engineering, contributing to wavelet-based medical image fusion, high-resolution NMR spectral reconstruction, shim coil design, permanent-magnet MRI optimization, and low-noise preamplifier development. He authored influential textbooks on electrodynamics and MRI, widely adopted in advanced training and research. His extensive publication record encompasses innovations in superconducting magnets, ferromagnetic shimming, pulse sequence optimization, image contrast mechanisms, and magnet design methodologies. As a long-term consultant to MRI industries, he helped translate theoretical principles into practical imaging technologies. In recent years, his research has shifted toward foundational physics, producing breakthrough models on single-photon structures, standing-wave photon behavior in constrained spaces, and multi-photon composite systems, marking a new phase of theoretical advancement with impactful emerging publications.

Profile : Orcid

Featured Publications

Zu, D. (2025). Standing wave photon structures in constraint spaces. Photonics.

Zu, D. (2025). Standing wave photon structures in constraint spaces [Preprint].

Zu, D. (2025). Single photon structure model and multi-photon composite monomer. Optics Express.

Zu, D. (2016). Electrodynamics (Rev. ed.). Tsinghua University Press.

Zu, D. (2015). Nuclear magnetic resonance imager. Science Press.

Zu, D., & Gao, J. (2014). Nuclear magnetic resonance imaging. Peking University Press.

Liu, W., Casanova, F., Blümich, B., & Zu, D. (2012). An efficacious target-field approach to design shim coils for Halbach magnet of mobile NMR sensors. Applied Magnetic Resonance.

Zhao, X., Wen, Z., Huang, F., Lu, S., Wang, X., Hu, S., Zu, D., & Zhou, J. (2011). Saturation power dependence of amide proton transfer image contrasts in human brain tumors and strokes at 3 T. Magnetic Resonance in Medicine.

Cao, X., Zu, D., Zhao, X., Fan, Y., & Gao, J. (2011). The design of a low-noise preamplifier for MRI. Science China Technological Sciences.

Tang, X., Zu, D., Wang, T., & Han, B. (2010). An optimizing design method for a compact iron-shielded superconducting magnet for use in MRI. Superconductor Science and Technology.

Tang, X., Li-Ming, H., & Zu, D.-L. (2010). Active ferromagnetic shimming of the permanent magnet for magnetic resonance imaging scanner. Chinese Physics B.

Zhao, X., Chen, M., Zhang, C., Hu, S., & Zu, D. (2010). Experimental evaluation of dual acceptance window weighting function for right coronary MR angiography at 3.0 T. Magnetic Resonance Imaging.

Zu, D., Liming, H., Xueming, C., & Xin, T. (2010). Analysis on background magnetic field to generate eddy current by pulsed gradient of permanent-magnet MRI. Science China Series E.