Yan Bai | Medicine and Health Sciences | Best Researcher Award

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Dr. Yan Bai | Medicine and Health Sciences | Best Researcher Award

Yunnan University | China

Dr. Yan Bai is a highly accomplished postdoctoral researcher at the State Key Laboratory of Conservation and Utilization of Bio-resources in Yunnan and the Center for Life Sciences, School of Life Sciences, Yunnan University, Kunming, China. She earned her PhD in Cell Biology from Yunnan University, MSc in Pharmacology from the Chinese PLA Medical Academy, and BSc in Pharmacy from Dali University, establishing a strong interdisciplinary foundation spanning pharmacology, microbiology, and cellular biology. Prior to her current role, she conducted research at the Chinese PLA General Hospital, focusing on combination therapies against multidrug-resistant bacteria. Her research primarily investigates mitochondrial homeostasis, tumor biology, and the molecular mechanisms underlying mitochondrial genetic diseases, with particular attention to mitochondria-associated condensates (MATOs) as regulators of protein translation and mitochondrial integrity. Dr. Yan Bai has led and contributed to several major research projects, including grants from the National Natural Science Foundation of China, the National Basic Research Program, and Yunnan Province Science and Technology initiatives. Her work has resulted in high-impact publications in journals such as Nature Aging (2025), Sci China Life Sci (2025), EMBO J (2024), and Biophys Rep (2024). According to Scopus, she has authored 10 publications, cited 177 times across 169 documents, with an h-index of 6, demonstrating both productivity and influence in her field. Through her interdisciplinary collaborations, innovative experimental approaches, and groundbreaking findings on mitochondrial regulation and aging, Dr. Yan Bai has made significant contributions to biomedical science, advancing understanding of mitochondrial biology, disease mechanisms, and translational biomedical applications.

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Featured Publications

Bai, Y., Ma, T., Zhao, S., Li, S., Wang, X., Li, J., Sun, W., Yang, Y., Liu, F., Shan, Q., Qin, Z., Liu, N., Zhang, J., Tian, F., Duan, M., Chen, S., Lai, F., Chen, Q., Wu, X., & Yang, C. (2025). Mitochondria-associated condensates maintain mitochondrial homeostasis and promote lifespan. Nature Aging.

Hao, Q., Bai, Y., Guan, R., Dong, R., Bai, W., Hamdy, H., Wang, L., Meng, M., Sun, Y., Shen, J., & Sun, J. (2025). VPS35/Retromer-dependent MT1-MMP regulation confers melanoma metastasis. Science China Life Sciences, 68(7), 1996–2009.

Hao, Q., Dong, R., Bai, W., Chang, D., Yao, X., Zhang, Y., Xu, H., Li, H., Kui, X., Wang, F., Wang, Y., Wang, C., Lei, Y., Chen, Y., Shen, J., Sang, L., Bai, Y., & Sun, J. (2024). Screening for metastasis-related genes in mouse melanoma cells through sequential tail vein injection. Biophysical Reports, 10(1), 15–21.

Liu, F., Li, T., Gong, H., Tian, F., Bai, Y., Wang, H., Yang, C., Li, Y., Guo, F., Liu, S., & Chen, Q. (2024). Structural insights into the molecular effects of the anthelmintics monepantel and betaine on the Caenorhabditis elegans acetylcholine receptor ACR-23. EMBO Journal, 43(17), 3787–3806.

Wang, T., Zhou, X., Bai, Y., Zhang, L., Li, L., & Wu, C. (2018). Antiepileptic effect of uridine may be caused by regulating dopamine release and receptor expression in corpus striatum. Brain Research, 1688, 47–53.

Bai, Y., Liu, B., Wang, T., Cai, Y., Liang, B., Wang, R., Liu, Y., & Wang, J. (2015). In vitro activities of combinations of rifampin with other antimicrobials against multidrug-resistant Acinetobacter baumannii. Antimicrobial Agents and Chemotherapy, 59(3), 1466–1471.

Liu, B., Bai, Y., Liu, Y., Di, X., Zhang, X., Wang, R., & Wang, J. (2015). In vitro activity of tigecycline in combination with cefoperazone-sulbactam against multidrug-resistant Acinetobacter baumannii. Journal of Chemotherapy, 27(5), 271–276.

Xiuqin Jia | Neuroscience | Best Researcher Award

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Assoc. Prof. Dr. Xiuqin Jia | Neuroscience | Best Researcher Award

Beijing Chaoyang Hospital | China

Dr. Xiuqin Jia, Ph.D., Associate Professor in the Department of Radiology at Beijing Chaoyang Hospital, Capital Medical University, is a distinguished researcher whose work has significantly advanced the fields of neuroimaging and cognitive neuroscience. Her research addresses the neural correlates of neurodegenerative diseases such as Parkinson’s disease, Alzheimer’s disease, and mild cognitive impairment, as well as cerebrovascular disorders including CADASIL and cerebral small vessel disease. Through computational modeling and multimodal neuroimaging approaches, she has provided innovative insights into disease mechanisms, progression, and early diagnostic markers, with direct implications for clinical practice and therapeutic intervention. According to Scopus, Dr. Xiuqin Jia has authored 75 publications, which have collectively received 1,716 citations across 1,492 documents, establishing a robust h-index of 23 that reflects her sustained impact and scholarly influence. She has successfully secured major funding as Principal Investigator for projects under the National Natural Science Foundation of China, the Beijing Municipal Natural Science Foundation, and other national programs, underscoring her leadership in cutting-edge research. In addition to her academic contributions, Dr. Xiuqin Jia serves as a Review Editor for Frontiers in Aging Neuroscience and holds important positions in multiple professional societies, promoting interdisciplinary collaboration between radiology, brain science, and artificial intelligence. Her achievements have been recognized through prestigious honors, including the Beijing Outstanding Doctoral Graduate Award, the Capital Medical University Scientific and Technological Progress Award, and the Chinese Medical Science and Technology Youth Award. With her remarkable record of innovation, leadership, and international recognition, Dr. Jia is an outstanding candidate for the Best Researcher Award.

Profile: Scopus | Google Scholar | ORCID

Featured Publications

Huang, Z., Liang, P., Jia, X., Zhan, S., Li, N., Ding, Y., Lu, J., Wang, Y., & Li, K. (2012). Abnormal amygdala connectivity in patients with primary insomnia: Evidence from resting state fMRI. European Journal of Radiology, 81(6), 1288–1295.

Liang, P., Wang, Z., Yang, Y., Jia, X., & Li, K. (2011). Functional disconnection and compensation in mild cognitive impairment: Evidence from DLPFC connectivity using resting-state fMRI. PLoS ONE, 6(7), e22153.

Wang, Z., Jia, X., Liang, P., Qi, Z., Yang, Y., Zhou, W., & Li, K. (2012). Changes in thalamus connectivity in mild cognitive impairment: Evidence from resting state fMRI. European Journal of Radiology, 81(2), 277–285.

Duan, Y., Liu, Y., Liang, P., Jia, X., Yu, C., Qin, W., Sun, H., Liao, Z., Ye, J., & Li, K. (2012). Comparison of grey matter atrophy between patients with neuromyelitis optica and multiple sclerosis: A voxel-based morphometry study. European Journal of Radiology, 81(2), e110–e114.

Wang, Z., Liang, P., Jia, X., Jin, G., Song, H., Han, Y., Lu, J., & Li, K. (2012). The baseline and longitudinal changes of PCC connectivity in mild cognitive impairment: A combined structure and resting-state fMRI study. PLoS ONE, 7(5), e36838.

Wang, Z., Liang, P., Jia, X., Qi, Z., Yu, L., Yang, Y., Zhou, W., Lu, J., & Li, K. (2011). Baseline and longitudinal patterns of hippocampal connectivity in mild cognitive impairment: Evidence from resting state fMRI. Journal of the Neurological Sciences, 309(1–2), 79–85.

Jia, X., Liang, P., Li, Y., Shi, L., Wang, D., & Li, K. (2015). Longitudinal study of gray matter changes in Parkinson disease. American Journal of Neuroradiology, 36(12), 2219–2226.

Liu, Y., Liang, P., Duan, Y., Jia, X., Wang, F., Yu, C., Qin, W., Dong, H., Ye, J., & Li, K. (2011). Abnormal baseline brain activity in patients with neuromyelitis optica: A resting-state fMRI study. European Journal of Radiology, 80(2), 407–411.

Baorui Xu | Chemical Engineering | Best Researcher Award

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Mr. Baorui Xu | Chemical Engineering | Best Researcher Award

Laoshan Laboratory | China

Mr. Baorui Xu, Associate Professor at Northeast Petroleum University and Laoshan Laboratory, is a leading researcher whose work has advanced petroleum machinery engineering and multiphase flow technologies. With a Ph.D. in Chemical Process Machinery, he has developed expertise in downhole cyclonic separation, oil–water multiphase transport, and co-well injection-production optimization. His research portfolio includes 24 peer-reviewed publications, which have collectively received 283 citations across 224 documents, demonstrating his sustained scholarly impact within the global academic community. His h-index of 9 further reflects both the depth and consistency of his contributions, with several of his works becoming important references in petroleum engineering, separation science, and fluid dynamics. Mr. Baorui Xu has been instrumental in designing innovative hydrocyclone systems, integrating coalescence and stabilization mechanisms, and optimizing separation processes for small-diameter oilfield applications. His research excellence is complemented by 22 authorized national patents, a published monograph on process flow equipment, and leadership of multiple national and provincial research projects, including support from the National Natural Science Foundation of China. Importantly, his findings have not remained confined to theory but have been successfully applied in large oilfields such as Daqing and Dagang, improving oil recovery efficiency and advancing sustainable petroleum production. His achievements were formally recognized when he received the First Prize of Technological Invention from the Heilongjiang Provincial Department of Science and Technology in 2022. By combining a strong record of publications, measurable citation performance, and field-ready innovations, Mr. Baorui Xu has emerged as a recognized leader in petroleum machinery design and applied fluid mechanics research.

Profile: Scopus | ORCID

Featured Publications

Zhang, X., Wei, H., Huang, X., Xu, B., Yu, F., & Zhao, L. (2025). Liutex-based flow structure characterization in vibrating downhole hydrocyclone for oil-water-sand multiphase systems. Chemical Engineering Research and Design. Advance online publication.

Liu, X., You, C., Cao, Y., Xu, B., Yang, Y., Li, H., Lv, P., Sun, C., & Duan, H. (2024). Friction drag reduction of Taylor–Couette flow over air-filled microgrooves. Journal of Fluid Mechanics, 984, A18.

Zhang, X., Shakaib, M., Yu, F., Jin, Y., Zhao, L., Wang, S., & Xu, B. (2024). Study on flow field characteristics of gas-liquid hydrocyclone separation under vibration conditions. PLOS ONE, 19(7), e0307110.

Xu, B., Li, H., Liu, X., Xiang, Y., Lv, P., Tan, X., Zhao, Y., Sun, C., & Duan, H. (2023). Effect of micro-grooves on drag reduction in Taylor–Couette flow. Physics of Fluids, 35(4), 045118.

Xu, B. (2020). Structure design and preliminary experimental investigation on oil-water separation performance of a novel helix separator. Separation Science and Technology, 55(16), 2862–2875.

Liu, L., Zhao, L., Yang, X., Wang, Y., Xu, B., & Liang, B. (2019). Innovative design and study of an oil-water coupling separation magnetic hydrocyclone. Separation and Purification Technology, 211, 446–455.

Xu, B., Jiang, M., Zhao, L., Wang, Y., Zhang, X., & Deng, X. (2018). CFD simulation and PIV test of water flow characteristics in helix separator. Shiyou Xuebao/Acta Petrolei Sinica, 39(2), 220–228.

Andrej Sirek | Medicine and Health Sciences | Best Researcher Award

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Dr. Andrej Sirek | Medicine and Health Sciences | Best Researcher Award

University Hospital Basel | Switzerland

Dr. Andrej Sirek is a dedicated Pathology Resident at the University Hospital Basel, Institute of Medical Genetics and Pathology, where he is actively shaping his career at the intersection of clinical diagnostics and medical research. With his educational foundation built in leading European institutions, Dr. Andrej Sirek has developed a strong grounding in medical genetics, histopathology, and laboratory sciences, which now supports his dual role as both clinician and researcher. His residency provides him with exposure to complex pathology cases while also allowing him to engage in research that seeks to bridge genetic profiling and diagnostic pathology, with the long-term aim of contributing to precision medicine and early disease detection. Currently, he has completed one research project and is progressing with another, both expected to yield indexed publications in the near future. Despite being at an early stage of his academic career, his commitment to innovation in pathology has already been recognized with a nomination for the Best Researcher Award. He maintains active membership in several professional organizations, including SGPATH, ÖGPATH, SGZ, and ESP, which strengthens his global collaborations and engagement with the wider pathology community. While he has yet to publish peer-reviewed articles, his ongoing research demonstrates his potential to make impactful contributions to the field. His academic and professional journey underscores the promise of a new generation of clinician-scientists who integrate advanced diagnostic techniques with research innovation to improve patient care. Dr. Andrej Sirek’s trajectory highlights his dedication, scholarly potential, and commitment to excellence in pathology and medical genetics.

Profile: ORCID

Featured Publications

Dr. Andrej Sirek has contributed to impactful research in pathology, focusing on diagnostic innovations, tumor biology, and clinicopathological correlations. Key recent publications include:

Sirek, A., Hench, I. B., Hench, J., Alborelli, I., Gross, M. W., Jakscha, J., Schaller, P., Nagel, G., Baumhoer, D., & Tzankov, A. (2025). Recurrent clonal radiotherapy-associated fibroepithelial polyp of the pharynx: Do low grade radiogenic stromal tumours exist? Case report.

Sobottka, B., Vetter, V., Banaei-Esfahani, A., Nowak, M., Lorch, A., Sirek, A., Mertz, K. D., Brunelli, M., Berthold, D., de Leval, L., et al. (2024). Immune phenotype-genotype associations in primary clear cell renal cell carcinoma and matched metastatic tissue.

Naila Camila da Rocha | Medicine and Health Sciences | Best Researcher Award

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Dr. Naila Camila da Rocha | Medicine and Health Sciences | Best Researcher Award

University of Wisconsin-Madison | United States

Dr. Naila Camila da Rocha is a distinguished researcher specializing in biostatistics, artificial intelligence in healthcare, and predictive analytics, with a strong focus on advancing precision medicine and healthcare delivery. She is completing her Ph.D. in Biometrics at São Paulo State University (UNESP) in collaboration with the University of Wisconsin–Madison, following a Master’s in Biometrics, a Professional Master’s in Applied Statistics, and a Bachelor’s in Administration. With over 14 years of experience in strategic planning, business intelligence, and applied statistics, she has held leadership roles including Head of Growth Strategy and Revenue at iFood, Data Science Manager at BRF, and currently works as a Data Scientist at Statbit, while also contributing as a volunteer researcher at the Clinics Hospital of Botucatu (LabData). Her research applies machine learning, natural language processing, and advanced statistical modeling to nephrology, transplantation, and chronic disease management, with impactful results such as predictive models for graft rejection, delayed graft function, and inequities in hemodialysis access. She has published more than 20 peer-reviewed papers in high-impact journals and received multiple prestigious awards, including the Massola Award (2025), AACD Summit Award (2025), Magaldi Award (2023), and Nestor Schor Award (2023). By successfully bridging data science with clinical applications, she has established herself as an influential voice in developing innovative tools for early diagnosis, risk stratification, and health system optimization, demonstrating excellence as a researcher whose work is shaping both academic knowledge and practical healthcare solutions.

Profile: Google Scholar | ORCID

Featured Publications

  • Beltramino, L., Bedacarratx, V., Roldán, P., González, N. A. M., … (2020). Aprendizajes y prácticas educativas en las actuales condiciones de época: COVID-19. Universidad Nacional de Córdoba, Facultad de Filosofía y Humanidades. Cited by: 33

  • Da Rocha, N. C., Barbosa, A. M. P., Schnr, Y. O., Machado-Rugolo, J., … (2022). Natural language processing to extract information from Portuguese-language medical records. Data, 8(1), 11. Cited by: 13

  • De Andrade, L. G. M., Barbosa, A. M. P., Da Rocha, N. C., Cardoso, M. M. de A., … (2022). Impact of the COVID-19 pandemic on solid organ transplant and rejection episodes in Brazil’s Unified Healthcare System. Journal of Clinical Medicine, 11(21), 6581. Cited by: 11

  • Ordones, F. V., Kawano, P. R., Vermeulen, L., Hooshyari, A., Scholtz, D., … (2025). A novel machine learning-based predictive model of clinically significant prostate cancer and online risk calculator. Urology, 196, 20–26. Cited by: 5

  • Addad, V. V., Palma, L. M. P., Vaisbich, M. H., Barbosa, A. M. P., … (2023). A comprehensive model for assessing and classifying patients with thrombotic microangiopathy: The TMA-INSIGHT score. Thrombosis Journal, 21(1), 119. Cited by: 5

  • Santos, G. P. A., Sesso, R., Lugon, J. R., Neves, P. D. M. de M., Barbosa, A. M. P., … (2024). Geographic inequities in hemodialysis access: A call to reassess dialysis facility locations in Brazil. Journal of Nephrology, 37(9), 2601–2608. Cited by: 4

Nitika Dhingra | Health Professions | Best Researcher Award

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Dr. Nitika Dhingra | Health Professions | Best Researcher Award

Chitkara University | India

Dr. Nitika Dhingra  is an academic and researcher at Chitkara University, Punjab, India, with expertise in machine learning–integrated sensor development, non-destructive spectroscopy, and RF-based sensing technologies. She holds a Ph.D. in Electronics and Communication Engineering from Chitkara University, supported by an M.Tech from Punjabi University and a B.Tech from Punjab Technical University. Her research advances applications in food adulteration detection, construction material classification, and structural health monitoring of heritage sites. She has contributed significantly as a Junior and Senior Research Fellow under a DST-SHRI scheme, focusing on sensor design, embedded systems, and machine learning integration. In 2024, she secured a DST-funded research grant worth 27 Lakhs as Principal Investigator, demonstrating her leadership in high-impact projects. Her scholarly contributions include 12 publications indexed in Scopus, 9 citations across 8 documents, and an h-index of 2, along with several granted and filed patents. She has been honored with the Gandhian Young Technological Innovation Award, DST Senior Research Fellowship, and the Best Paper Presentation Award at ICAMSE, and was a semi-finalist in the DST–Texas Instruments Innovation Challenge. Dr. Nitika Dhingra’s career exemplifies innovation, academic excellence, and impactful contributions to science and technology.

Profile: Scopus

Featured Publications

  • Dhingra, N., Saluja, N., Garg, R., & Kanwar, V. (2023). Radio frequency as a non-destructive approach to concrete structure health monitoring. Iranian Journal of Science and Technology, Transactions of Civil Engineering. Cited by: 3.

  • Dhingra, N., Ghosh, D., Saluja, N., & Sabapathay, T. (2023). Radio frequency based sensor for adulteration measurement in a continuous two phase-flow of alcoholic beverages. Sensing and Imaging, 24(1), 32. Cited by: 2.

  • Dhingra, N., Saluja, N., Kanwar, V., & Garg, R. (2021). Moisture sensitive electrical property measurement in concrete slab with step graded antenna. Materials Today: Proceedings, 45, 5172–5176. Cited by: 2.

  • Dhingra, N., & Saluja, N. (2024). RF sensor-based adulterant discriminant estimation in mustard oil. Sensing and Imaging, 25(1), 59. Cited by: 1.

  • Dhingra, N., & Saluja, N. (2024). A novel non-destructive technique-based automated classification of construction material using machine learning. Asian Journal of Civil Engineering, 25(1), 805–810. Cited by: 1.

  • Geetanjali, Jindal, P., Saluja, N., Kashyap, N., & Dhingra, N. (2023). Design and optimization of wideband RF energy harvesting antenna for low-power wireless sensor applications. Proceedings of International Conference on Data Science and Applications. Cited by: 1.

Prabhjot Singla | Biochemistry, Genetics and Molecular Biology | Best Researcher Award

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Dr. Prabhjot Singla | Biochemistry, Genetics and Molecular Biology | Best Researcher Award

Punjab Agricultural University | India

Dr. Prabhjot Singla, PhD, is a dedicated plant biochemist specializing in plant defense mechanisms, multi-omics analyses, and biochemical characterization of crops. She earned her Ph.D. from Punjab Agricultural University, Ludhiana, India in 2020, focusing on stripe rust resistance genes in barley, following her M.Sc. in Biochemistry in 2015, where she investigated protein profiling in lupin genotypes. Dr. Singla has held positions as Guest Faculty at Panjab University and PCTE Group of Institutes, and as Junior and Senior Research Fellow at ICAR-CIPHET and Punjab Agricultural University, contributing to the DBT-BUILDER Interdisciplinary Life Sciences program. Her research expertise includes pest rearing, phenotypic assessment of cotton genotypes, development of disease resistance scales, biochemical enzyme assays, and transcriptome analysis of defense-related genes. She has authored numerous impactful publications, including Insight into the effect of girdling on morpho-physiological parameters of ‘YaLi’ pear, Nutritional, physicochemical, and sensorial characterisation of quinoa-millet enriched gluten-free functional cookies (Acta Alimentaria), and Metabolic adjustments during compatible interaction between barley genotypes and stripe rust pathogen (Plant Physiology and Biochemistry). According to Scopus, Dr. Prabhjot Singla has 14 documents, 113 citations, and an h-index of 7. Recognized with several fellowships and academic honors, she combines rigorous scientific expertise with extensive experience in plant biochemistry and crop improvement research, demonstrating significant contributions to her field.

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Featured Publications

  • Singla, P., Mahajan, M., Dhillon, G. K., Sharma, S., & Waseem, M. (2024). Nutritional, physicochemical, and sensorial characterisation of quinoa-millet enriched gluten-free functional cookies. Acta Alimentaria, 53(4), 673–684.

  • Singla, P., Sharda, R., Sharma, S., Gulati, D., Pandey, K., Singh, N. P., Singh, P. K., & Sharma, A. (2023). Variation in physio-chemical attributes and WUE during growth and development of Pak choi (Brassica rapa L. subsp. chinensis L.) under different drip fertigation and mulching treatments. Acta Alimentaria, 52(3), 458–468.

  • Kaur, M., Bhardwaj, R. D., Singla, P., Kaur, S., & Grewal, S. K. (2023). Drought stress-induced alterations in source–sink relationships in barley during grain development. Gesunde Pflanzen, 75, 2401–2412.

  • Singla, P., Bhardwaj, R. D., Kaur, S., & Kaur, J. (2020). Metabolic adjustments during compatible interaction between barley genotypes and stripe rust pathogen. Plant Physiology and Biochemistry, 147, 295–302.

  • Singla, P., Bhardwaj, R. D., Kaur, S., & Kaur, J. (2020). Stripe rust induced defence mechanisms in the leaves of contrasting barley genotypes (Hordeum vulgare L.) at the seedling stage. Protoplasma, 257, 169–181.

  • Singla, P., Sharma, S., & Singh, S. (2017). Amino acid composition, protein fractions and electrophoretic analysis of seed storage proteins in lupins. Indian Journal of Agricultural Biochemistry, 30(1), 33–40.

Weimin Huang | Engineering | Best Researcher Award

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Assist. Prof. Dr. Weimin Huang | Engineering | Best Researcher Award

Shandong University of Science and Technology | China

Dr. Weimin Huang, Academic Associate Professor at the College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, is a leading expert in mechanical manufacturing and automation, with a focus on high-speed cutting technology, friction and fatigue wear mechanisms, and advanced agricultural machinery design. He earned his Ph.D. in Mechanical Manufacturing and Automation from Shandong University, establishing a strong foundation for his research and academic contributions. Dr. Weimin Huang has successfully led over 10 major research projects, including funding from the National Natural Science Foundation of China, and the Natural Science Foundation of Shandong Province, and has directed more than 20 industry-sponsored consultancy projects, effectively translating scientific insights into practical engineering solutions. His pioneering work on surface texture preparation via ball-end milling has significantly enhanced wear resistance and tribological performance of mechanical components, while his studies on sliding fatigue wear mechanisms have improved the durability and efficiency of industrial and agricultural equipment. He has published 37 Scopus-indexed journal articles, with 311 citations and an H-index of 11. Through his sustained research, innovation, and applied engineering contributions, Dr. Weimin Huang has established himself as a prominent scholar and a driving force in advancing mechanical manufacturing technologies.

Profile: Scopus

Featured Publications

1. Wang, G., Li, H., Wang, Z., & Jiang, D. (2025, May). Research on surface integrity and corrosion performance in high-speed ball-end milling of NiTi shape memory alloys.

2. Yang, J., Gong, C., Li, A., & Wang, P. (2025, March). Research on NiTi shape memory alloy electrolyte based on optimization of corrosion performance.

3. Huang, W., Huang, Y., Li, A., & Wang, G. (2024, November). Generation mechanism and anti-friction effect evaluation of continuous micro-groove texture machined by ball-end milling process.

4. Gao, L., Zhou, X., Huang, W., & Xia, H. (2024, February). Generation method and antifriction performance evaluation of discrete micro-pit surface texture based on high speed ball-end milling process.

5. Wang, G., Gong, C., Yang, J., & Wang, P. (2024, February). Electrochemical reaction mechanism of milled surface of NiTi shape memory alloy.

6. Gao, L., Wang, J., Huo, H., & Wang, Z. (2024, February). Residual height of surface topography in milling nickel-titanium shape memory alloy using a small-diameter cutter.

Tian Zhang | Engineering | Best Researcher Award

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Dr. Tian Zhang | Engineering | Best Researcher Award

Xi’an University of Architecture and Technology | China

Dr. Zhang Tian, a Master’s student in Structural Engineering at Xi’an University of Architecture and Technology, has built an impressive academic and research profile distinguished by consistent excellence, leadership, and early scholarly impact. He completed his undergraduate studies at Huanghuai University, where he was recognized as a “Three Good Student” for four consecutive years, awarded multiple academic scholarships, and graduated as an Outstanding Graduate. His achievements also include winning the third prize in the Challenge Cup of the School of Civil Engineering and being honored as an Outstanding Communist Youth League Member, distinctions that reflect his ability to combine academic rigor with innovation and service. At the graduate level, he has continued to excel, receiving an academic scholarship in 2022–2023 while advancing research in seismic-resistant structures, sustainable construction materials, and structural design optimization, areas vital to the development of safe and environmentally responsible infrastructure. Despite being in the early stage of his research career, Dr. Zhang Tian has already made notable scholarly contributions, with 6 publications indexed in Scopus, accumulating 69 citations from 68 documents, and achieving an h-index of 5. These metrics demonstrate that his work is not only visible but also valued within the global academic community. Combining strong academic performance, proven research productivity, and a clear vision for advancing structural engineering, Dr. Zhang Tian exemplifies the qualities of an emerging scholar whose contributions are poised to strengthen the safety, resilience, and sustainability of modern construction.

Profile: Scopus

Featured Publications

Xu, Y., Xu, Z.-D., Hu, H., Guo, Y.-Q., Huang, X.-H., Zhang, Z.-W., Zhang, T., & Xu, C. (2025). Experiment, simulation, and theoretical investigation of a new type of interlayer connections enhanced viscoelastic damper. International Journal of Structural Stability and Dynamics, 25(5), Article 2550045.

Hyesung Park | Chemistry and Materials Science | Best Researcher Award

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Prof. Dr. Hyesung Park | Chemistry and Materials Science | Best Researcher Award

Korea University | South Korea

Dr. Hyesung Park, a distinguished Professor at Korea University, is an internationally recognized authority in hetero-dimensional materials synthesis and their applications in functional devices, including energy harvesting, nanoelectronics, and nanophotonics. His academic journey spans world-leading institutions such as MIT, Northwestern University, and UNIST, where he has consistently advanced renewable energy technologies and next-generation device engineering. He earned his Ph.D. in Electrical Engineering and Computer Science from MIT with groundbreaking research on CVD graphene for organic photovoltaics, pioneering innovations in transparent conducting electrodes that have shaped subsequent advances in the field. Before joining Korea University, he held prestigious research and faculty positions that further strengthened his international reputation. At Korea University, Dr. Park leads pioneering work in integrative energy engineering, with research spanning hybrid nanostructures, scalable perovskite solar cells, electro/photo-catalysis, graphene-based devices, and triboelectric nanogenerators, producing notable innovations in solar cell production and energy harvesting materials. He has authored 116 Publications, accumulated 5,452 citations, and holds an impressive h-index of 36, reflecting the global impact of his scholarship. His highly cited works on graphene electrodes and hybrid solar cells have been published in top-tier journals such as Nature Nanotechnology, ACS Nano, and Advanced Energy Materials. Widely acclaimed for his leadership, impactful publications, and international collaborations, Dr. Hyesung Park is celebrated not only for advancing materials science and energy technologies but also for inspiring future scientists and engineers through his mentorship and academic contributions. Honored with national and international recognition, he exemplifies excellence in research, education, and innovation, and his pioneering contributions continue to drive breakthroughs in sustainable energy technologies that are shaping a cleaner and more efficient future.

Profile: Scopus | Google Scholar | ORCID

Featured Publications

Kim, K. K., Reina, A., Shi, Y., Park, H., Li, L. J., Lee, Y. H., & Kong, J. (2010). Enhancing the conductivity of transparent graphene films via doping. Nanotechnology, 21(28), 285205.

Park, H., Brown, P. R., Bulović, V., & Kong, J. (2012). Graphene as transparent conducting electrodes in organic photovoltaics: Studies in graphene morphology, hole transporting layers, and counter electrodes. Nano Letters, 12(1), 133–140.

Park, H., Rowehl, J. A., Kim, K. K., Bulović, V., & Kong, J. (2010). Doped graphene electrodes for organic solar cells. Nanotechnology, 21(50), 505204.

Park, H., Chang, S., Zhou, X., Kong, J., Palacios, T., & Gradečak, S. (2014). Flexible graphene electrode-based organic photovoltaics with record-high efficiency. Nano Letters, 14(9), 5148–5154.

Park, H., Chang, S., Jean, J., Cheng, J. J., Araujo, P. T., Wang, M., Bawendi, M. G., & Kong, J. (2013). Graphene cathode-based ZnO nanowire hybrid solar cells. Nano Letters, 13(1), 233–239.

Koo, D., Jung, S., Seo, J., Jeong, G., Choi, Y., Lee, J., Lee, S. M., Cho, Y., Jeong, M., & Park, H. (2020). Flexible organic solar cells over 15% efficiency with polyimide-integrated graphene electrodes. Joule, 4(5), 1021–1034.

Oh, N. K., Seo, J., Lee, S., Kim, H. J., Kim, U., Lee, J., Han, Y. K., & Park, H. (2021). Highly efficient and robust noble-metal free bifunctional water electrolysis catalyst achieved via complementary charge transfer. Nature Communications, 12(1), 4606.

Oh, N. K., Kim, C., Lee, J., Kwon, O., Choi, Y., Jung, G. Y., Lim, H. Y., Kwak, S. K., Kim, G., & Park, H. (2019). In-situ local phase-transitioned MoSe2 in La0.5Sr0.5CoO3-δ heterostructure and stable overall water electrolysis over 1000 hours. Nature Communications, 10(1), 1723.