Marjan Razi Khosroshahi | Health Professions | Best Researcher Award

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Dr. Marjan Razi Khosroshahi | Health Professions | Best Researcher Award

Shahid Beheshti university of medical sciences | Iran

Dr. Marjan Razi Khosroshahi is accomplished medical professional whose academic and research contributions have positioned her as a promising figure in the field of ophthalmology and health professions. She completed her diploma at Manzoome Kherad Institute  as a ranked student and pursued her medical education at Iran University of Medical Sciences , where she established a solid foundation in clinical medicine and research. Her professional experience includes extensive participation in international conferences such as the European Society of Cataract and Refractive Surgeons (ESCRS), the American Academy of Ophthalmology (AAO), the World Ophthalmology Congress (WOC), and the American Society of Cataract and Refractive Surgery (ASCRS), where she presented groundbreaking work on transepithelial photorefractive keratectomy, myopia, astigmatism, and ocular pathologies. Dr. Khosroshahi’s research interests focus on refractive surgery outcomes, ocular immunology, visual quality prediction, and innovative ophthalmic therapies, supported by her publications in leading journals including the Journal of Cataract & Refractive Surgery, Journal of Refractive Surgery, and the European Journal of Ophthalmology. She has demonstrated strong research skills in clinical trial design, scientific writing, statistical analysis, and interdisciplinary collaboration, while also contributing as an editor of a synopsis book in ophthalmology for medical students. Her active role in the Student Research Committee, membership in the Universal Council of Ophthalmology, and affiliations with research centers underscore her leadership and commitment to advancing medical science. Among her honors are recognition as an outstanding student at national Olympiads and her selection for international academic programs such as the USERN Congress. With her dedication to research excellence, innovation, and community service, Dr. Khosroshahi exemplifies the qualities of a global health leader and is highly deserving of the Best Researcher Award for her significant contributions and future potential to transform ophthalmic science.

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Featured Publications

Eshraghi, B., Razi-Khosroshahi, M., Hasani, H., & Silbert, D. I. (2021). Pediatric posttraumatic orbital subperiosteal hematoma. European Journal of Ophthalmology.

Adib-Moghaddam, S., Soleyman-Jahi, S., Sanjari Moghaddam, A., Hoorshad, N., Tefagh, G., Haydar, A. A., Razi-Khoshroshahi, M., & Arba Mosquera, S. (2018). Efficacy and safety of transepithelial photorefractive keratectomy. Journal of Cataract and Refractive Surgery.

Razi-Khosroshahi, M. (n.d.). Optical coherence tomography angiography and structural analyses of the pale optic discs: Is it possible to differentiate the cause?

Haoyuan Zheng | Environmental Science | Best Researcher Award

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Mr. Haoyuan Zheng | Environmental Science | Best Researcher Award

Beijing Forestry University | China

Mr. Haoyuan Zheng, currently pursuing his Master of Science in Agronomy at the School of Soil and Water Conservation, Beijing Forestry University, China, has established himself as an emerging researcher in the field of environmental science with a particular focus on the relationship between climate change and water-sediment dynamics. His academic foundation is strengthened by active participation in nationally funded projects, including the National Natural Science Foundation of China and the National Key Research and Development Program of China, which have provided him with valuable experience in large-scale, collaborative, and interdisciplinary research. Zheng’s primary research interests lie in climate change impacts on hydrological processes, wetland ecosystem dynamics, and sustainable water resource management, areas in which he has demonstrated strong analytical and technical expertise. His notable publication, “Spatio-Temporal Dynamics of Wetland Ecosystem and Its Driving Factors in the Qinghai–Tibet Plateau,” published in Water , highlights his research skills in applying multi-source remote sensing data and partial least squares structural equation modeling (PLS-SEM) to ecological challenges, identifying human activity as the dominant driver of wetland expansion in the region. Zheng’s contributions also demonstrate proficiency in advanced data analysis, geospatial techniques, and ecological modeling, establishing him as a capable and innovative researcher. Although early in his career, he has begun to gain recognition for his scientific rigor and dedication to addressing critical environmental issues, achievements that underscore his potential for future honors and academic leadership. His current work provides transferable models for alpine wetland conservation and informs climate adaptation strategies, reinforcing his relevance in both national and international contexts. Considering his educational achievements, research productivity, and commitment to sustainability, Mr. Haoyuan Zheng is highly deserving of the Best Researcher Award, as his contributions promise to shape the future of environmental science and resource management globally.

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Featured Publications

Zheng, H., & Guan, Y. (2025). Spatio-temporal dynamics of wetland ecosystem and its driving factors in the Qinghai–Tibet Plateau. Water, 17(18), 2746.

Jianghao Zhan | Nanotechnology | Best Researcher Award

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Dr. Jianghao Zhan | Nanotechnology | Best Researcher Award

Fudan University | China

Dr. Jianghao Zhan is an accomplished researcher in microelectronics, solid-state electronics, and nanotechnology, currently positioned at Fudan University, China, and recognized for his outstanding contributions with the Best Researcher Award. He earned his Ph.D. in Microelectronics and Solid-State Electronics from Fudan University in under the supervision of Professor Xiong Shisheng, a National-Level Project Chief Scientist, following an M.Sc. in Materials Engineering from Sichuan University in under Professor Tan Hong, a National Outstanding Youth Awardee, and a B.Sc. in Polymer Materials and Engineering from North University of China. Professionally, Dr. Zhan served as a Battery Project Engineer at Ningde New Energy Technology Co., Ltd. from and undertook advanced internships at Zhangjiang National Laboratory and Fudan University School of Microelectronics, gaining hands-on experience in AFM, RIE etching, UV lithography, EBL, SEM, SAXS, and ALD. His research interests include advanced semiconductor processes, lithography technologies, photoresist materials, functional biomaterials, and polyurethane block copolymers. Dr. Zhan demonstrates strong research skills, including proficiency in C++, Python, and AI-assisted research tools , Perplexity, Manus, Grok, Deepseek, and Scite.ai, enabling efficient literature analysis, data visualization, and reference acquisition. He has contributed significantly to high-impact national-level projects, including the DSA Project (RMB) and DRAM Technology Transfer initiatives, achieving scalable and reproducible photoresist production, high-precision FinFET fabrication, and large-area defect-free nanowire arrays. His publication record includes first-author Q1 journal papers and multiple Q2 journal contributions, and he has received honors such as the Zhangjiang Laboratory Second-Class Scholarship (three times) and Fudan University Academic Scholarships. Dr. Zhan’s leadership, technical expertise, and dedication to scientific mentorship position him to advance global semiconductor research, expand international collaborations, and contribute significantly to nanotechnology innovation, making him highly deserving of the Best Researcher Award.

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Featured Publications

Zhan, J., Wu, Y., Wang, H., Liu, J., Ma, Q., Xiao, K., Li, Z., Li, J., Luo, F., & Tan, H. (2020). An injectable hydrogel with pH-sensitive and self-healing properties based on 4armPEGDA and N-carboxyethyl chitosan for local treatment of hepatocellular carcinoma. International Journal of Biological Macromolecules, 163, 1208–1222.

Xiao, K., Wang, Z., Wu, Y., Lin, W., He, Y., Zhan, J., Luo, F., Li, Z., Li, J., Tan, H., & Fu, Q. (2019). Biodegradable, anti‐adhesive and tough polyurethane hydrogels crosslinked by triol crosslinkers. Journal of Biomedical Materials Research Part A, 107(10), 2205–2221.

Wang, M., Zhan, J., Xu, L., Wang, Y., Lu, D., Li, Z., Li, J., Luo, F., & Tan, H. (2020). Synthesis and characterization of PLGA-PEG-PLGA based thermosensitive polyurethane micelles for potential drug delivery. Journal of Biomaterials Science, Polymer Edition, 32(5), 613–634.

Wang, H., Zhan, J., Xiao, K., Luo, F., Li, J., & Tan, H. (2018). Thermoresponsive three‐stage optical modulation of a self‐healing composite hydrogel. Macromolecular Chemistry and Physics, 219(23), 1800329.

Zhan, J., Shang, C., Niu, M., Luo, J., Gao, S., Wu, Z., Niu, S., Xu, Y., Zhang, X., Li, Z., … [other authors]. (2025). An acid-cleavable lamellar block copolymer for sub-30-nm line spacing patterning via graphoepitaxial directed self-assembly and direct wet etching. Polymers, 17(18), 2435.

Imad Khan | Engineering | Best Researcher Award

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Dr. Imad Khan | Engineering | Best Researcher Award

Guangdong Ocean University | China

Dr. Imad Khan, a Pakistani national born in Fatehpur Swat, Pakistan, is a distinguished researcher currently affiliated with Guangdong Ocean University, China, specializing in food science and engineering. He earned his Master’s in Food Science and Engineering from Jiangnan University, Wuxi, China , where he conducted pioneering research on bio-imprinted lipase-catalyzed production of medium- and long-chain structured lipids rich in polyunsaturated fatty acids (PUFAs) and their microencapsulation, and completed his undergraduate studies in Microbiology from the University of Swat, Pakistan. Professionally, Dr. Khan has served as a medical lab assistant at THQ C Category Hospital, Khwaza Khela, Pakistan, and as a science communicator and blog writer on industrial hemp in Australia, demonstrating a diverse skill set bridging practical laboratory work and public science dissemination. His research interests include functional food development, lipid metabolism, sustainable food processing, food waste upcycling, and innovative applications of lipases and biopolymers. He possesses extensive research skills, including RP-HPLC, GC-MS, FTIR, XRD, SEM, PCR, freeze-drying, spray-drying, and advanced analytical and scientific writing capabilities, with proficiency in data analysis software such as SPSS, ChemDraw, and Minitab. Dr. Khan’s work has resulted in multiple high-impact publications in leading journals, including Progress in Lipid Research, Trends in Food Science & Technology, and Comprehensive Reviews in Food Science and Food Safety. His honors include the Jiangnan Scientific Research Star , Jiangsu Province Outstanding Student Scholarship Award, and the Chinese Government CSC Scholarship. Recognized for leadership as an International Student Ambassador and active mentorship, Dr. Khan demonstrates exceptional potential for advancing global food research. His innovative research, technical expertise, publication record, and dedication to sustainability and knowledge dissemination make him highly deserving of the Best Researcher Award, reflecting both scholarly excellence and meaningful societal impact.

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Featured Publications

Khan, I., Hussain, M., Jiang, B., Zheng, L., Pan, Y., Hu, J., Khan, A., Ashraf, A., … (2023). Omega-3 long-chain polyunsaturated fatty acids: Metabolism and health implications. Progress in Lipid Research, 92, 101255.

Kanwal, N., Zhang, M., Zeb, M., Batool, U., & Rui, L. (2024). From plate to palate: Sustainable solutions for upcycling food waste in restaurants and catering. Trends in Food Science & Technology, 152, 104687.

Cheng, D., Guo, Y., Du, L., Khan, I., Liu, R., & Chang, M. (2023). Regulate structure and properties of κ-carrageenan/konjac glucomannan composite hydrogel by filling effects of Quillaja saponin-stabilized solid lipid nanostructure. International Journal of Biological Macromolecules, 253, 127090.

Hussain, M., Khan, I., Chaudhary, M. N., Ali, K., Mushtaq, A., Jiang, B., Zheng, L., … (2024). Phosphatidylserine: A comprehensive overview of synthesis, metabolism, and nutrition. Chemistry and Physics of Lipids, 264, 105422.

Hussain, X. M., Khan, I., Jiang, B., Zheng, L., Yuechao, … (2023). Lipases: Sources, immobilization techniques, and applications. International Journal of Environment, Agriculture and Biotechnology, 8(6).

Jianzhao Yin | Health Sciences | Best Researcher Award

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Ms. Jianzhao Yin | Health Sciences | Best Researcher Award

Gansu Provincial Hospital | China

Ms. Jianzhao Yin, currently serving as an Associate Chief Physician at Gansu Provincial Hospital, China, has established herself as a promising researcher in the field of health sciences with a particular focus on gynecological oncology. She obtained her Master of Medical Science in Obstetrics and Gynecology from Xinjiang Medical University and has dedicated nearly ten years to clinical practice, teaching, and research, integrating these roles seamlessly to advance patient care and academic excellence. Her professional experience includes leading systematic reviews and meta-analyses on innovative surgical approaches, most notably her publication in Cancer Reports titled A Systematic Review and Meta-Analysis of the Effectiveness and Cost of Single-Site Robotic Surgery and Single-Site Laparoscopic Surgery in Gynecological Diseases: The Era of Single-Site Robotic Surgery May Have Arrived, which has been cited in international medical forums. Her research interests encompass gynecological tumors, embryo freezing technologies, and embryo screening methods, with notable publications in the Chinese Journal of Evidence-Based Medicine and the Chinese Journal of Woman and Child Health Research. She has demonstrated strong research skills through rigorous literature retrieval, data collection, formal analysis, manuscript writing, and revisions as both first and corresponding author, thereby ensuring the quality and impact of her work. Beyond publications, she has contributed to the New Talent Tumor Support Therapy Research Public Welfare Project and actively participates as a member of the Gynecological Oncology Committee of the Gansu Provincial Geriatric Medical Society, highlighting her commitment to both academic and community advancement. While she has yet to attain major international awards, her growing influence in the field underscores her potential for broader recognition. In conclusion, Ms. Yin’s dedication to advancing women’s health, her strong publication record, and her leadership in innovative gynecological oncology research make her a deserving recipient of the Best Researcher Award, with immense potential to shape the future of health sciences globally.

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Featured Publications

Yin, J. (2025). A systematic review and meta-analysis of the effectiveness and cost of single-site robotic surgery and single-site laparoscopic surgery in gynecological diseases: The era of single-site robotic surgery may have arrived. Cancer Reports. Advance online publication.

Fanfan Lin | Electrical Engineering | Young Scientist Award

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Dr. Fanfan Lin | Electrical Engineering | Young Scientist Award

Zhejiang University | China

Dr. Fanfan Lin is an accomplished researcher in electrical engineering whose academic and professional journey reflects a blend of technical expertise, international collaboration, and entrepreneurial leadership. She earned her joint Ph.D. in Power Engineering from Nanyang Technological University, Singapore, and the Technical University of Denmark, Copenhagen , supported by a four-year interdisciplinary research scholarship, with her doctoral thesis focusing on the dual active bridge converter design with artificial intelligence. Earlier, she completed her B.E. in Electrical Engineering and B.A. in English Language and Literature at Harbin Institute of Technology, China , and further enriched her academic background through an exchange program at Peter the Great St. Petersburg Polytechnic University, Russia. Professionally, Dr. Lin currently serves as a Postdoctoral Research Fellow and Assistant Professor at the Zhejiang University–University of Illinois Urbana-Champaign Institute, where she leads projects funded by the China Postdoctoral Science Foundation, the National Natural Science Foundation of China (Young Scientists Fund), and the Intellectual Property Fund of Zhejiang University. Her research interests center on power electronics design integrated with artificial intelligence and responsible AI for power systems, and her skills span advanced converter modeling, physics-informed machine learning, system optimization, and interdisciplinary innovation. Dr. Lin has published extensively in top-tier journals such as IEEE Transactions on Industrial Electronics and IEEE Journal of Emerging and Selected Topics in Power Electronics, with several ESI highly cited papers and over 800 citations. She has been recognized with prestigious awards including the IEEE Industry Applications Society Prize Paper Award, NTU Graduate College Innovation and Entrepreneurship Award, and Geneva Inventions Silver Award, alongside multiple entrepreneurial and social impact recognitions. With her strong foundation in education, research, innovation, and global collaboration, Dr. Lin is highly deserving of the Young Scientist Award, as her expertise and leadership potential are set to significantly advance the future of power electronics and artificial intelligence in sustainable energy systems.

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Featured Publications

Li, X., Lin, F., Rodríguez-Andina, J. J., Guerrero, J. M., Mantooth, H. A., & Ma, H. (2025). NeurPecs: Physics-informed AI-based adaptive circuit simulator for power converters. IEEE Transactions on Industrial Electronics. Advance online publication.

Dai, X., Zhou, R., Zhang, J., He, K., Lin, F., & Ma, H. (2025). SocNet: A physics-guided neural network for battery state-of-charge estimation robust to temperature variations and sensor noises. IEEE Transactions on Transportation Electrification. Advance online publication.

Lin, F., Li, X., Lei, W., Rodríguez-Andina, J. J., Guerrero, J. M., Wen, C., Zhang, X., & Ma, H. (2025, April). PE-GPT: A new paradigm for power electronics design. IEEE Transactions on Industrial Electronics. Advance online publication.

Li, X., Lin, F., Sun, C., Zhang, X., Ma, H., Wen, C., Blaabjerg, F., & Mantooth, H. A. (2025, February). A generic modeling approach for dual-active-bridge converter family via topology transferrable networks. IEEE Transactions on Industrial Electronics. Advance online publication.

Li, X., Lin, F., Wang, H., Zhang, X., Ma, H., Wen, C., & Blaabjerg, F. (2024). Temporal modeling for power converters with physics-in-architecture recurrent neural network. IEEE Transactions on Industrial Electronics. Advance online publication.

Tao Hu | Health Sciences | Best Researcher Award

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Dr. Tao Hu | Health Sciences | Best Researcher Award

The Affiliated Yuyao Yangming Hospital of Medical School of Ningbo University | China

Dr. Tao Hu is a highly accomplished medical professional and researcher from China, serving at The Affiliated Yuyao Yangming Hospital of the Medical School of Ningbo University, with specialization in thyroid surgery, breast surgery, and anorectal surgery. Having completed his doctoral education in health sciences, Dr. Hu has developed an expertise in combining surgical practice with advanced computational methods, particularly artificial intelligence and machine learning applications in clinical diagnostics and predictive modeling. His professional experience includes independently completing over surgical operations and contributing to multiple provincial-level scientific research projects, including support from the Zhejiang Health Information Association Research Program , which highlights his ability to bridge medical practice with innovative research applications. Dr. Hu’s research interests lie primarily in developing predictive tools that integrate clinical information data with artificial intelligence to forecast disease occurrence, progression, and postoperative risks, especially in thyroid carcinoma, where his recent work has introduced novel models for preoperative risk stratification and lymph node metastasis prediction. His research skills are demonstrated through proficiency in clinical data analysis, ultrasound imaging interpretation, radiomics, and the application of machine learning frameworks to enhance diagnostic accuracy and surgical decision-making. In recent years, Dr. Hu has published several impactful articles in high-quality, peer-reviewed journals such as Endocrine, Frontiers in Endocrinology, and the Journal of Clinical Ultrasound, marking him as a significant contributor to evidence-based surgical practices. While his awards and honors primarily reflect academic and clinical achievements, his recognition through this nomination underscores his growing international reputation as a leader in health sciences research. In conclusion, Dr. Hu’s blend of clinical excellence, innovative research in artificial intelligence applications, and dedication to improving surgical outcomes make him a highly deserving recipient of the Best Researcher Award, as his work holds great promise for advancing both scientific knowledge and patient care globally.

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Featured Publications

Hu, T., Cai, Y., Zhou, T., Zhang, Y., Huang, K., Huang, X., Qian, S., Wang, Q., & Luo, D. (2025). Machine learning‐based prediction of lymph node metastasis and volume using preoperative ultrasound features in papillary thyroid carcinoma. Journal of Clinical Ultrasound. Advance online publication.

Hu, T., Zhou, T., Zhang, Y., Zhou, L., Huang, X., Cai, Y., Qian, S., Huang, K., & Luo, D. (2024). The predictive value of the thyroid nodule benign and malignant based on the ultrasound nodule‐to‐muscle gray‐scale ratio. Journal of Clinical Ultrasound, 52(1).

Zhao, L., Hu, T., Cai, Y., Zhou, T., Zhang, W., Wu, F., Zhang, Y., & Luo, D. (2023). Preoperative risk stratification for patients with ≤ 1 cm papillary thyroid carcinomas based on preoperative blood inflammatory markers: Construction of a dynamic predictive model. Frontiers in Endocrinology, 14, 1254124.

Zhou, T., Xu, L., Shi, J., Zhang, Y., Lin, X., Wang, Y., Hu, T., Xu, R., Xie, L., & Sun, L., et al. (2023). US of thyroid nodules: Can AI-assisted diagnostic system compete with fine needle aspiration? European Radiology. Advance online publication.

Zhou, T., Hu, T., Ni, Z., Yao, C., Xie, Y., Jin, H., Luo, D., & Huang, H. (2023). Comparative analysis of machine learning-based ultrasound radiomics in predicting malignancy of partially cystic thyroid nodules. Endocrine. Advance online publication.

 

Saba Amiri | Biology | Best Researcher Award

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Assist. Prof. Dr. Saba Amiri | Biology | Best Researcher Award

Shahid Beheshti University of Medical Sciences | Iran

Assist. Prof. Dr. Saba Amiri, an accomplished biomedical engineer and neuroscientist, has established herself as a leading figure in biomedical engineering, neuroimaging, and neuroscience research. She earned her Ph.D. in Biomedical Engineering from Tehran University of Medical Sciences  and her M.Sc. in Biomedical Engineering from Shiraz University of Medical Sciences , where she consistently ranked among the top students in her cohort. Professionally, Dr. Amiri has served as Assistant Professor at the Neuroscience Research Center of Shahid Beheshti University of Medical Sciences since , while previously holding roles as research assistant, clinical researcher, and lecturer at leading Iranian universities and hospitals. She has also collaborated with international institutions such as the University of Antwerp, contributing to longitudinal fMRI studies on Alzheimer’s disease. Her research interests include biomedical engineering, neural engineering, neurorehabilitation, medical imaging, machine learning, deep brain stimulation, and the use of artificial intelligence in clinical neuroscience. Skilled in neuroimaging software such as SPM, FSL, DPARSF, and BRAPH, along with proficiency in Matlab, Python, and C#, she applies advanced computational and statistical methods to investigate brain connectivity, psychiatric disorders, and neurodegenerative diseases. Dr. Amiri’s work has produced impactful publications in prestigious journals such as npj Aging, Epilepsy & Behavior, Progress in Neuro-Psychopharmacology and Biological Psychiatry, and Annals of General Psychiatry, alongside presentations at IEEE EMBC conferences. Her excellence has been recognized through numerous awards, including first rank in the national Ph.D. entrance exam in biomedical engineering, the Best Platform Presentation Award, and first place in the Value Creation of Clinical Research competition at the Brain Mapping Symposium. With her strong academic background, technical expertise, and dedication to advancing neuroscience, Dr. Amiri exemplifies the qualities of an innovative scholar and is highly deserving of the Best Researcher Award for her outstanding contributions to science and society.

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Featured Publications

Amiri, S., Arbabi, M., Kazemi, K., Parvaresh-Rizi, M., & Mirbagheri, M. M. (2021). Characterization of brain functional connectivity in treatment-resistant depression. Progress in Neuro-Psychopharmacology and Biological Psychiatry, 111, 110346.

Amiri, S., Mirbagheri, M. M., Asadi-Pooya, A. A., Badragheh, F., Zibadi, H. A., & others. (2021). Brain functional connectivity in individuals with psychogenic nonepileptic seizures (PNES): An application of graph theory. Epilepsy & Behavior, 114, 107565.

Amiri, S., Mehvari-Habibabadi, J., Mohammadi-Mobarakeh, N., & others. (2020). Graph theory application with functional connectivity to distinguish left from right temporal lobe epilepsy. Epilepsy Research, 167, 106449.

Amiri, S., Movahedi, M. M., Kazemi, K., & Parsaei, H. (2017). 3D cerebral MR image segmentation using multiple-classifier system. Medical & Biological Engineering & Computing, 55(3), 353–364.

Zareie, M., Parsaei, H., Amiri, S., Awan, M. S., & Ghofrani, M. (2018). Automatic segmentation of vertebrae in 3D CT images using adaptive fast 3D pulse coupled neural networks. Australasian Physical & Engineering Sciences in Medicine, 41(4), 1009–1020.

Irina Ekimova | Neuroscience | Best Research Article Award

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Dr. Irina Ekimova | Neuroscience | Best Research Article Award

Sechenov Institute of Evolutionary Physiology and Biochemistry of the Russian Academy of Sciences | Russia

Dr. Irina Ekimova is a distinguished neurophysiologist, Associate Professor, and Head of the Laboratory of Comparative Thermophysiology at the Sechenov Institute of Evolutionary Physiology and Biochemistry of the Russian Academy of Sciences in Saint Petersburg, Russia. She earned her Ph.D. in physiology with a focus on neurobiology, equipping her with expertise in cellular and molecular neuroscience. Over her career, Dr. Ekimova has gained extensive professional experience in both teaching and advanced research, mentoring young scientists while leading high-impact projects at the national and international level. Her research interests center on comparative thermophysiology, sleep neurobiology, neurodegenerative disorders, and the molecular role of heat shock proteins in protecting brain function. She has significantly contributed to elucidating the somnogenic and anticonvulsant effects of stress-induced proteins, as well as their neuroprotective and anti-inflammatory potential, particularly in the early diagnosis and treatment of Parkinson’s disease. Dr. Ekimova’s research skills include molecular biology techniques, neurophysiological experimentation, translational medicine approaches, and advanced diagnostic development. She has published widely in Scopus-indexed and peer-reviewed journals, presented at international conferences, and actively collaborated across borders to advance global neuroscience. Her achievements have been recognized through academic leadership roles and honors within the scientific community, highlighting her dedication to both innovation and societal impact. By integrating her scientific expertise with leadership in collaborative initiatives, she continues to bridge fundamental research with clinical applications. In recognition of her outstanding contributions to advancing neuroscience and developing novel strategies for neuroprotection, Dr. Irina V. Ekimova is highly deserving of the Best Research Article Award, as her work represents a significant step forward in understanding and treating neurodegenerative pathologies while demonstrating exceptional academic excellence, innovation, and global research potential (Ekimova, n.d.).

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Featured Publications

Pazi, M. B., Belan, D. V., Komarova, E. Y., & Ekimova, I. V. (2024). Intranasal administration of GRP78 protein (HSPA5) confers neuroprotection in a lactacystin-induced rat model of Parkinson’s disease. International Journal of Molecular Sciences, 25(7), 3951.

Lapshina, K. V., & Ekimova, I. V. (2024). Aquaporin-4 and Parkinson’s disease. International Journal of Molecular Sciences, 25(3), 1672.

Guzeev, M. A., Kurmazov, N. S., & Ekimova, I. V. (2023). Chronic sleep restriction in rats leads to a weakening of compensatory reactions in response to acute sleep deprivation. S.S. Korsakov Journal of Neurology and Psychiatry, 123(5), 235–241.

Simonova, V. V., Guzeev, M. A., Ekimova, I. V., & Pastukhov, Y. F. (2022). Chaperone Hsp70 (HSPA1) is involved in the molecular mechanisms of sleep cycle integration. International Journal of Molecular Sciences, 23(8), 4464.

Ekimova, I. V. (2021). Modeling of chronic sleep restriction for translational studies. Zhurnal nevrologii i psikhiatrii im. S.S. Korsakova, 121(4), 26–33.

Ekimova, I. V. (2021). Preventive administration of the heat shock protein Hsp70 relieves endotoxemia-induced febrile reaction in pigeons (Columba livia) and rats. Journal of Evolutionary Biochemistry and Physiology, 57(5), 813–821.

Ekimova, I. V. (2021). Age-related characteristics of sleep impairments in a model of the preclinical stage of Parkinson’s disease in rats. Neuroscience and Behavioral Physiology, 51(6), 749–756.

Ekimova, I. V. (2021). Assessment of the efficacy of preventive therapy with chaperone inducer U133 in a model of the preclinical stage of Parkinson’s disease in elderly rats. Neuroscience and Behavioral Physiology, 51(6), 743–748.

Ekimova, I. V. (2021). Chronic sleep restriction disrupts slow-wave sleep homeostatic regulation and damages monoaminergic structures in the rat brain. Sleep, 44(Supplement_2), zsab072.111.

Ekimova, I. V. (2020). Age-related differences in sleep disturbances in rat models of preclinical Parkinson’s disease. Zhurnal nevrologii i psikhiatrii im. S.S. Korsakova, 120(9), 226–232.

Plaksina, D. V., & Ekimova, I. V. (2020). Age-related features of α-synuclein pathology in the brain on modeling the preclinical stage of Parkinson’s disease in rats. Neuroscience and Behavioral Physiology, 50(1), 69–75.

Ekimova, I. V., Pazi, M. B., & Plaksina, D. V. (2020). Assessment of the neuroprotective potential of glucose-regulated heat shock protein in a model of Parkinson’s disease in rats. Neuroscience and Behavioral Physiology, 50(1), 83–89.

Ekimova, I. V. (2020). U-133, a chaperone inducer, eliminates sleep disturbances in a model of the preclinical stage of Parkinson’s disease in aged rats. Advances in Gerontology, 10(3), 301–309.

Ekimova, I. V. (2020). Impairment to cognitive functions in Wistar rats in a model of the preclinical stage of Parkinson’s disease. Neuroscience and Behavioral Physiology, 50(5), 547–552.

Karpenko, M. N., Muruzheva, Z. M., Pestereva, N. S., & Ekimova, I. V. (2019). An infection hypothesis of Parkinson’s disease. Neuroscience and Behavioral Physiology, 49(9), 1184–1190.

Chesnokova, A. Y., Ekimova, I. V., & Pastukhov, Y. F. (2019). Parkinson’s disease and aging. Advances in Gerontology, 9(2), 131–137.

Ekimova, I. V. (2019). Exogenous heat shock protein 70 kDa facilitates the restoration of sleep and thermoregulatory characteristics in rat endotoxemia model. Sleep, 42(Supplement_1), zsz067.067.

Habtamu Tadele Belay | Soil Science | Best Research Article Award

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Mr. Habtamu Tadele Belay | Soil Science | Best Research Article Award

Debre Markos University | Ethiopia

Mr. Habtamu Tadele Belay is a dedicated soil scientist and Ph.D. candidate at Bahir Dar University, currently serving at Debre Markos University, Ethiopia, professional experience in soil and land resource management. He holds a BSc in Natural Resources Management and an MSc in Land Resource Management, and his doctoral research specializes in soil fertility management with a focus on integrated soil amendments and their role in improving maize productivity and sustainability in northwestern Ethiopia. Throughout his academic journey, he has gained substantial professional expertise in soil fertility, land resource assessment, sustainable agricultural practices, and community-based watershed management, blending theoretical research with applied agricultural development. His research interests lie in soil science, soil fertility, plant nutrition, and sustainable agricultural systems, particularly focusing on innovative nutrient management approaches such as the use of biochar, vermicompost, and integrated N-P fertilizers. Mr. Habtamu has contributed to impactful projects, including integrated nutrient management for maize phenology and growth performance, and continues to lead ongoing research on soil amendments to enhance crop yield sustainability and profitability. His skills extend to advanced soil analysis, experimental design, field-based agricultural research, and data-driven modeling, while his publications in Scopus-indexed journals, such as Agrosystems, Geosciences & Environment, demonstrate his ability to disseminate knowledge to international audiences. In addition to academic excellence, he has engaged in community development programs that promote sustainable land use and improve farmer livelihoods. Recognized for his innovative research and leadership potential, he has been nominated for the Best Research Article Award, reflecting his scholarly contributions, dedication to advancing soil science, and commitment to sustainable agricultural development in Ethiopia and beyond. Overall, Mr. Habtamu’s academic achievements, professional expertise, and community engagement highlight his strong candidacy for the award and his potential to influence future research and practice in soil science .

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Featured Publications

Tadele, H. (2017). Land use/land cover factor values and accuracy assessment using a GIS and remote sensing in the case of the Quashay Watershed in Northwestern Ethiopia. Journal of Natural Resources and Development, 30, 1–12.

Belay, H. T., Malede, D. A., & Geleta, F. B. (2020). Erosion risk potential assessment using GIS and RS for soil and water resource conservation plan: The case of Yisir Watershed, Northwestern Ethiopia. Agriculture, Forestry and Fisheries, 9(11), 13–22.

Tadele, B. A. H. (2022). Effects of different dose of nitrogen and lime on soil properties and maize (Zea mays L.) on acidic nitisols of Northwestern Ethiopia. Journal of Agriculture and Natural Resources, 5(1), 213–227.

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