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.

Profile: Orcid

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.

Profile: Orcid | Google Scholar

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.).

Profile: Orcid

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 .

Profile: Orcid | Google Scholar

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.

Kebede, B. A., Fetene, E. M., Gebreselassie, Y., & Tadele, T. B. Z. (2021). Effects of integrated use of lime and nitrogen fertilizer rate on maize (Zea mays L.) crop and its profitability on nitisols, Ethiopia. International Journal of Computational and Theoretical Chemistry, 9(2), 19–30.

Tadele, H. (2017). Comparison of measured and derived topographic factor values for soil loss estimation. Journal of Resources Development and Management, 29, 1–10.

Tadele, H., Feyisa, T., Tsegaye, L., & Musie, S. (2025). Integrated nutrient management for maize phenology and growth performance: Biochar, vermicompost, and N–P nutrients in northwestern Ethiopia. Agrosystems, Geosciences & Environment, 8(3), e70158.

Tadele, H., Feyisa, T., Tsegaye, L., & Musie, S. (2025). Inorganic NP nutrients, biochar and vermicompost levels on sustainability yield index and economic profitability of maize (Zea mays L.) in Northwestern Ethiopia. Journal of Agriculture and Food Research, 102287, 1–12.

Amare, H. T. B. (2023). Review of the relationship between soil health, climate change mitigation, and crop production when soils are enhanced with organic sources of nutrients. In IntechOpen.

Belay, H. T., & Kebede, B. A. (2023). Review of the relationship between soil health, climate change mitigation, and crop production when soils are enhanced with organic sources of nutrients. In Organic Fertilizers—New Advances and Applications (pp. 1–20). IntechOpen.

Birtukan Amare, H. T. B., Molla, E., & Selassie, Y. G. (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), 14–25.

Inês Clarissa | Biotechnology | Best Researcher Award

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Mrs. Inês Clarissa | Biotechnology | Best Researcher Award

Federal University of Viçosa | Brazil

Mrs. Inês Clarissa Gomes Sousa is a highly motivated researcher and Master’s student in Food Science and Technology at the Federal University of Viçosa (UFV), holding a bachelor’s degree in Food Technology from the State University of Pará (UEPA) and specializations in Food Safety, Sanitary Surveillance, and Food Quality; her academic excellence is reflected in top distinctions such as first place in the Best Undergraduate Thesis Award  for her study on sanitary aspects of fish commercialization in Pará and third place for Best Academic Performance at UEPA ; professionally, she has contributed as a research volunteer, scholarship holder, and intern across multiple projects related to food safety, innovative product development, hygienic practices, labeling evaluation, and sanitary inspection, including consultancy roles with QualiNorte Consultoria Alimentar e Ambiental, which strengthened her applied expertise; her research interests span food technology, active and intelligent packaging, sustainable extraction of biopolymers, valorization of residues, and innovations in food systems, leading to publications in journals such as Revista do Instituto de Laticínios Cândido Tostes, Revista Alimentos, and Brazilian Journal of Development, alongside participation in collaborative projects focused on biodegradable packaging and by-product utilization; beyond publications, she has pursued extensive professional training through courses and certifications from EMBRAPA, SENAR, IICA, ENAP, and international institutions such as LMU (Germany), demonstrating her commitment to continuous learning; her key strengths include strong academic performance, recognition through awards, research productivity, and the ability to integrate scientific knowledge with real-world applications, particularly in food safety and sustainability, though areas for growth remain in enhancing international research exposure, expanding contributions to high-impact journals, and engaging in larger-scale industry collaborations; looking ahead, her future research potential is significant, as she is well-positioned to advance innovation in sustainable food packaging, safety standards, and technological solutions for global food systems, with clear capacity to impact both academic and industrial domains; overall, Mrs. Sousa’s blend of academic merit, practical expertise, and innovative vision makes her a strong candidate for the Best Researcher Award, with a promising trajectory toward becoming a leading figure in food science and technology.

Profile: Orcid

Featured Publications

Conde, M. B. M., Sousa, G. R. de, Sousa, I. C. G., Vieira, A. C. P., Silva, J. F. da, & Seixas, V. N. C. (2022). Perfil do consumidor de aplicativos de comida delivery no município de Marabá-PA. Research, Society and Development, 11(1), e25211125252.

Lea Nohra | Neurology | Best Researcher Award

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Ms. Lea Nohra | Neurology | Best Researcher Award

Lebanese University | Lebanon

Ms. Lea Nohra is a dedicated seventh-year medical student at the Lebanese University, Faculty of Medical Sciences, who has complemented her academic training with leadership and gender-focused investigation programs through the Aspire Institute and the SAWI Project in collaboration with the American University of Beirut. Her practical experience spans internships at major medical centers including Al Zahraa University Medical Center, Rafic Hariri University Hospital, Hôpital Libanais Geitawi, and Abou Jaoudeh Hospital, as well as contributions to public health initiatives with the Lebanese Ministry of Public Health and humanitarian organizations such as Adam’s Care and the Order of Malta. Alongside her medical training, she has taken on significant research and editorial leadership roles, serving as Research Officer and Editorial Board Liaison at the International Journal of Clinical Research, Vice President of the Medical Students Advisory Board, and peer reviewer for multiple journals including the Annals of Medicine and Surgery. Her research portfolio includes publications addressing pediatric oncology, neuroengineering, diabetes, obstetric ultrasound, COVID and oncogenesis, multidrug-resistant pathogens, placenta accreta spectrum, and the application of nanotechnology in cardiology, supported by several manuscripts under revision and ongoing projects. She has earned recognition for her scholarly contributions through international presentations, including a second prize award for a poster presentation at the IJCR Global Summit in Brazil, while also presenting her work at LUMA and the Antimicrobial Chemotherapy Conference. Fluent in Arabic, English, and French, with additional knowledge of Spanish and Russian, she is certified in neonatal resuscitation, basic life support, applied research skills, and peer review, and has extensive engagement in student leadership, training, and medical education. Her strengths for the Best Researcher Award lie in her remarkable blend of clinical training, research productivity, editorial involvement, and leadership, all achieved at an early career stage, which underscores her dedication to children’s health, public health, and translational medicine. Areas for improvement include deepening specialization within a defined research niche to solidify her expertise, expanding her involvement in multi-institutional collaborations and clinical trials, and pursuing independent research funding to advance the scope and impact of her work. In conclusion, Ms. Nohra stands out as a highly promising young researcher whose academic excellence, leadership roles, and recognized international contributions make her an excellent candidate for the Best Researcher Award, with significant potential to become a leading figure in pediatrics and global health research.

Profile: Orcid

Featured Publications

Nohra, L., Nafeh, G., Assi, M., & El Chbib, D. (2025). The use of methotrexate in the management of placenta accreta spectrum: A narrative review. Annals of Medicine & Surgery.

Chebl, R., Nader, I., Saba, M., Attieh, C. Z., Kattan, O., Nohra, L., Henaine, A.-M. A., El Khoury, S., Nassar, M. N., Nakhel, P., et al. (2025). Obstetric ultrasound screening in Lebanon for fetal diagnosis and associated factors of congenital abnormalities. Children.

Yehya, A., Ezzeddine, Z., Chakkour, M., Dhaini, Z., Bou Saba, M. S., Bou Saba, A. S., Nohra, L., Nassar, N. B., Yassine, M., Bahmad, H. F., et al. (2025). The intricacies of Acinetobacter baumannii: A multifaceted comprehensive review of a multidrug-resistant pathogen and its clinical significance and implications. Frontiers in Microbiology.

Awad, N. Y., Fakhry, B., Baddour, I., Ismail, O., Jamaleddine, Y., Nohra, L., Twainy, A., Hassan, K., Azzi, J., & Chahine, M. N. (2025). Knowledge, attitude, and practice toward type 2 diabetes mellitus in the Lebanese population. Cureus.

Mujbel, A. M., Nohra, L., Sabih, H. K. T., Al-Taie, R. H., & Saleem, S. (2025). Short stature in Moyamoya disease: A systematic review of potential mechanisms and clinical outcomes. Stroke Research and Treatment.

Waqas, M., Bashir, R., Nohra, L., Adeyemo, S. F., Confidence, D., Tayyab, M., & Rahman, U. S. (2024). Impact of SARS-CoV-2 on oncogenesis: A deep dive into the COVID-19 and cancer nexus. Iranian Journal of Blood and Cancer, 16(3), 55–64.

Kantawala, B., Hamitoglu, A. E., Nohra, L., Yusuf, H. A., Isaac, K. J., Shariff, S., Nazir, A., Soju, K., Yenkoyan, K., Wojtara, M., et al. (2024). Microengineered neuronal networks: Enhancing brain-machine interfaces. Annals of Medicine & Surgery.

Nohra, L. (2024). Referrals and determinant factors of a national school health campaign in Lebanon on children aged between 3 and 12 years old. Unpublished dataset.

Siddiqui, M. F., Nohra, L., Saleh, M., Thakkar, K., Trivedi, R., Moujally, S. N., Deeb, H., Nicolas, G., & Emmanuel, N. (2023). Pediatric oncology, palliative care and low- or middle-income countries: A call for action. Global Pediatric Health.

Rania H. Al-Taie | Neuroscience | Young Scientist Award

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Dr. Rania H. Al-Taie | Neuroscience | Young Scientist Award

Mustansiriyah University, College of Medicine | Iraq

Al-Taie, R. H.  is a neuroscience researcher and medical graduate from the Faculty of Medicine, Mustansiriya University, Baghdad , currently serving as a Research Assistant at Insight Psychiatric Clinic and Coordinator at the Axon Foundation for Research and Development, with prior experience as a freelance research trainer, research team member at Mustansiriya University, exchange officer with IFMSA-Iraq, and event organizer for scientific conferences, while also teaching research methodology, CNS anatomy and physiology, and delivering mental health awareness lectures. She has authored numerous publications including case reports, systematic reviews, and original articles in high-impact neurosurgery and psychiatry journals, with research interests spanning neuroanatomy, neurosurgery, psychiatric disorders, and patient-centered innovations. Al-Taie has completed specialized international training in neurosurgery mentorship (Hoz Neurosurgery Mentorship), artificial cadaver surgical skills (WFNS & UpSurgeon), cardiovascular surgery clerkship (Hacettepe University, Turkey) clinical neuroscience research methodology, and advanced neurology programs (MDS-AOS School for Young Neurologists, Bangkok, and has received recognition through active memberships in IFMSA, the Walter E. Dandy Neurosurgical Club, Al-Hayat Society for Multiple Sclerosis Patients, and the European Society for Medical Oncology. Her research skills include advanced data analysis, meta-analysis, JAMOVI statistical software, PCR, histology, and literature synthesis, complemented by voluntary health awareness initiatives with UNICEF, campaigns on antimicrobial resistance, kidney health, diet, and community-based renewable energy training, as well as her role as a content creator and mental health advocate focusing on stigma reduction, PTSD, depression, and women’s mental health in Iraq. As a candidate for the Research for Young Scientist Award, her strengths include exceptional academic dedication, early career leadership in neuroscience and psychiatry, and a strong publication record with global collaborations, which highlight her promise as a young scientist; areas for improvement include the need to secure independent research grants, lead multi-institutional projects, and refine her broad research scope into more specialized expertise to strengthen her niche identity; her future research potential lies in advancing translational studies bridging clinical neuroscience with psychiatric care and policy, particularly in addressing stigma and mental health challenges in underserved regions; and in conclusion, Dr. Al-Taie is a highly deserving candidate whose academic achievements, research productivity, teaching excellence, and advocacy efforts demonstrate both immediate impact and significant long-term potential in neuroscience and psychiatry.

Profile: Orcid | Google Scholar

Featured Publications

Al-Shalchy, A., Al-Wassiti, A. S. A., Elboraay, T., Mutar, M. T., Hashim, M. A. B., et al. (2024). Orbital rhabdomyosarcoma: Comprehensive review of epidemiology, clinical staging, and treatment outcomes. World Neurosurgery.

Al-Shalchy, A., Al-Wassiti, A. S., Hashim, M. A., Al-Khazaali, Y. M., Talib, S. H., et al. (2024). Neuro-ophthalmic manifestations of carotid cavernous fistulas: A systematic review and meta-analysis. Cureus, 16(7).

Al-Alousi, H. M., Al-Kubaisi, K. T., Ismail, M., Al-Ageely, T. A., Abdulameer, A. O., et al. (2022). Transbasal penetrating traumatic brain injury caused by a rifle rod: A case report. Surgical Neurology International, 13, 3.

Al-Shalchy, A. K., Al-Taie, R. H., Algabri, M. H., Al-Khafaji, N. H. A., Loulida, H., et al. (2025). Surgical strategies in basal ganglia gliomas: A systematic review of resection extent, mortality, and neurological recovery. World Neurosurgery, 124174.

Al-Shalchy, A. K., Hashim, M. A. B., Al-Taie, R. H., Al-Badri, S. G., Abdalridha, R. H., et al. (2025). Thalamic cavernomas: A systematic review of clinical manifestations, diagnostic challenges, and surgical outcomes. World Neurosurgery, 123972.

Al-Juboori, A. A., Badran, S. A., Sulaiman, I. I., Shahadha, A. A., Alsamok, A. S., et al. (2025). Clinical implications of sagittal stratum damage: Laterality, neuroanatomical developmental considerations, and functional outcomes. Surgical Neurology International, 16, 4.

Alshammaa, H. I., Al-Taie, R. H., Mujbel, A. M., & Mujbel, A. M. Sr. (2024). Impact of long-term depression on employment outcomes: A systematic review and case series from Iraq on career trajectory and job stability. Cureus, 16(10).

Mohammad, N. K., Rajab, I. A., Al-Taie, R. H., Ismail, M., Mohammad, N., & Al-Taie, R. (2024). Machine learning and vision: Advancing the frontiers of diabetic cataract management. Cureus, 16(8).

Ismail, M., Muthana, A., Al-Ageely, T. A., Ahmed, F. O., Al-Taie, R. H., Al-Khafaji, A. O., et al. (2024). Teleproctoring in therapeutic neurointervention: Experience from Iraq-Saudi Arabia collaboration. Surgical Neurology International, 15(280),

Kingsley Igulu | Computer Science | Best Researcher Award

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Dr. Kingsley Igulu | Computer Science | Best Researcher Award

Kenule Beeson Saro-Wiwa Polytechnic Bori | Nigeria

Dr. Kingsley Theophilus Igulu is an accomplished scholar and researcher in computer science whose academic and professional journey reflects dedication, innovation, and impact across several emerging fields. He holds a Ph.D. in Computer Science from Ignatius Ajuru University of Education, alongside a robust academic background enriched by professional certifications in artificial intelligence, machine learning, cybersecurity, and data science, which have shaped his multidisciplinary expertise. Over the years, he has gained valuable professional experience as a lecturer, researcher, and mentor, actively contributing to knowledge dissemination through teaching, publications, and collaborative projects. His research interests span artificial intelligence, machine learning, cybersecurity, big data analytics, blockchain, green computing, Internet of Things (IoT) security, and healthcare informatics, demonstrating both breadth and relevance to global challenges. Dr. Igulu’s research skills are well-reflected in his methodological rigor, ability to integrate computational intelligence with real-world problems, and capacity to design innovative, practical solutions in areas such as smart healthcare systems and sustainable computing. His scholarly impact is evident in his 20 published documents, which have collectively received 23 citations by 21 documents, resulting in an h-index of 2, an indicator of his growing recognition within the academic community. Beyond publications, he has authored books and book chapters in reputable outlets, including CRC Press, Springer, Elsevier, and IET, further establishing his authority in the field. Dr. Igulu has also been actively involved in international conferences, seminars, and professional organizations such as IEEE, ACM, and the Nigerian Computer Society, where he contributes to advancing the computing discipline. His dedication and contributions have earned him recognition and honors within his academic and professional networks. In conclusion, Dr. Kingsley Theophilus Igulu stands out as a promising researcher whose combination of scholarly productivity, interdisciplinary focus, and growing global engagement positions him as a valuable contributor to advancing computer science and its applications for societal benefit.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

Igulu, K. T. Computational intelligence in big data analytics. In Editor(s) (Ed(s.)), Book Title (pp. xx–xx). Publisher.

Igulu, K. T.  Integration of green computing and economic growth. In Editor(s) (Ed(s.)), Book Title (pp. xx–xx). Publisher.

Paulo Araújo | Marine Biology | Best Research Article Award

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Dr. Paulo Araújo | Marine Biology | Best Research Article Award

Federal Institute of Education, Science and Technology of Rio Grande do Norte | Brazil

Dr. Paulo Araújo is a Brazilian researcher and professor at the Instituto Federal de Educação, Ciência e Tecnologia do Rio Grande do Norte (IFRN), with a solid academic and professional trajectory marked by innovation, interdisciplinary contributions, and dedication to education and applied research. He holds a bachelor’s degree in Fisheries Engineering from the Universidade Federal Rural do Semi-Árido, a licentiate in Geography from the Universidade Federal do Rio Grande do Norte , specialization in Environmental Analysis and Geoprocessing, a master’s degree  and doctorate  in Geodynamics and Geophysics from the same institution, and completed postdoctoral research at Instituto Superior Técnico, Universidade de Lisboa  and UFRN . His career includes professional work on the Projeto Atum Brasil/Japão involving vessel tracking and fishery monitoring, instruction at the Overseas Fishery Cooperation Foundation of Japan, and since, full-time teaching, research, and extension at IFRN. His research integrates geoprocessing, digital elevation models, remote sensing, UAV-based mapping, flood risk modeling, and fisheries monitoring, bridging technology and environmental management with relevance to climate change adaptation, sustainable resource use, and territorial planning. He leads the PAMGEIA Research Group, actively contributes to SELPER, and has coordinated multiple funded projects supported by CNPq, CAPES, and institutional programs. His publication record includes 34 peer-reviewed articles in Qualis-indexed journals, demonstrating strong scientific productivity, while his awards and grants reflect recognition of academic excellence and leadership in research. Strengths for the Award include his ability to merge geotechnologies with applied environmental and fisheries studies, impactful research in flood risk analysis and coastal management, and his role in fostering innovation, collaboration, and outreach. Areas for Improvement include expanding international collaborations and targeting publications in higher-impact global journals to increase international visibility and scientific influence. Future Research Potential lies in advancing UAV and remote sensing applications, integrating artificial intelligence in environmental modeling, and strengthening global partnerships to address pressing environmental and socio-economic challenges. In conclusion, Paulo Victor do Nascimento Araújo’s academic achievements, leadership in research groups, international experience, and commitment to sustainable development make him a highly suitable candidate for the Best Research Article Award, exemplifying excellence in bridging scientific knowledge with real-world impact.

Profile: Orcid

Featured Publications

Marques, A. de O., Araújo, P. V. do N., Alencar, C. E. R. D., Fransozo, V., Teixeira, G. M., Freire, F. A. de M., & Costa, R. C. da. (2025). Ecological diversity and distribution of Penaeoidea shrimps near islands with distinct environmental characteristics on the Northern Coast of São Paulo, Brazil. Hydrobiologia.

Silva, T. C. L., Diniz, M. T. M., Araújo, P. V. do N., & Ferreira, B. (2025, September 3). Marine hydraulic process modelling using SMC-Brasil on the semi-arid Brazilian coast. Geosciences, 15(9).

Macedo, Y. M., Borges, D. F. de A., Marinho, A. O., & Araújo, P. V. do N. (2025, April 28). Socio-environmental vulnerability in coastal areas: A case study in the municipality of Macau-RN, Brazil. Northeast Geosciences Journal, 11(1).

Silva, G. B. da, & Araújo, P. V. do N. (2024). Aggregative behavior of blackfin tuna (Thunnus atlanticus) following a fishing boat in the southwestern tropical Atlantic Ocean. Ocean and Coastal Research.

Araújo, P. V. do N., Macedo, Y. M., Santos, P. I. M. dos, Silva, G. B. da, Diniz, M. T. M., & Amaro, V. E. (2024, September 2). Materializing the landscape: Drones, geodesy, and 3D printers in a viable and economic solution for 3D modeling. Geoconnections.

Rampinelli, C. G., Smith, T. J., & Araújo, P. V. N. (2024, June). Addressing uncertainty in flood hazard mapping under a Bayesian approach. Journal of Hydrologic Engineering.

De Souza Campos, B. C., Fernandes de Lucena, L. R., Righetto, A. M., & Araújo, P. V. do N. (2023). Evaluation of the impact of variable recharge in an urban aquifer associated with land use and occupation. Journal of South American Earth Sciences.

Nunes, D. M., Bezerra, A. C., Barros, W. M. S., Araújo, P. V. N., Branco-Nunes, I. S. L., Magris, R. A., Pereira, P. H. C., Normande, I. C., Barboza, R. S. L., & Cardoso, A. T. C. (2023). Evidence of illegal fishing within the largest Brazilian coastal MPA: Turning a blind eye to the obvious. Marine Policy.

Rabelo, T. O., Diniz, M. T. M., Araújo, I. G. D., Terto, M. L. de O., Queiroz, L. S., Araújo, P. V. do N., & Pereira, P. (2023, July 13). Risk of degradation and coastal flooding hazard on geoheritage in protected areas of the semi-arid coast of Brazil. Water, 15(14), 2564.

Alencar, C. E. R. D., Araújo, P. V. do N., Amorim, L. C., Lima, M. S. P., Mendes, L. F., & Freire, F. A. de M. (2021). Artisanal fisheries of native spiny lobster Panulirus meripurpuratus and smoothtail spiny lobster Panulirus laevicauda in the northeast region of Brazil. Annals of the Brazilian Academy of Sciences.

Costa, J. D., Amaral, R. F., & Araújo, P. V. do N. (2021). Spatiotemporal evolution of urban occupation on natural areas in coastal environments. Brazilian Journal of Physical Geography, 14(4), 1957–1971.

Mohammad Reza Mazaheri Habibi | Health Sciences | Best Researcher Award

Published on by TOT Awards

Assist. Prof. Dr. Mohammad Reza Mazaheri Habibi | Health Sciences | Best Researcher Award

Varastegan Institute for Medical Sciences | Iran

Assist. Prof. Dr. Mohammad Reza Mazaheri Habibi is a distinguished academic in the field of medical informatics with strong expertise in computer engineering, health information systems, artificial intelligence in medicine, and mobile health technologies, holding a Ph.D. in Medical Informatics from Mashhad University of Medical Sciences, an M.Sc. in Computer Engineering (Software) from Islamic Azad University, Mashhad Branch, and a B.Sc. in Computer Engineering (Software) from the same institution, and he has served as a faculty member at Varastegan Higher Education Center for Medical Sciences since  while also holding visiting professorships at Mashhad University of Medical Sciences, Islamic Azad University, Khayyam University, Asrar Institute of Higher Education, Motahar Institute, and Sina Institute of Medical Sciences, gaining extensive teaching and mentoring experience across undergraduate, master’s, and doctoral programs; he has also held important leadership roles such as Head of the Health Information Technology Group, Head of Journal Clubs, Scientific Secretary of national conferences, member of multiple scientific committees, reviewer for several indexed journals, and member of the Iranian Medical Informatics Association, while also contributing significantly as an organizer and lecturer in specialized workshops and training courses in areas such as health data management, decision support, research methods, and artificial intelligence applications in healthcare; he has authored and co-authored multiple books on health information management and medical English for students and has published extensively in high-impact international journals on subjects such as telemedicine, mobile health apps, systematic reviews of health technology applications, artificial intelligence in disease prediction and management, appointment scheduling systems, usability evaluation of health information systems, and the role of IT-based interventions in improving patient care, alongside presenting widely at international and national congresses; his research focus centers on health informatics, electronic health records, machine learning applications in disease diagnosis, telemedicine, patient empowerment through digital platforms, and usability of medical software, reflecting an interdisciplinary approach that bridges technology and healthcare; his awards and honors include recognition through appointments to scientific committees of national conferences on information technology and health promotion, invitations to serve as a reviewer for top international journals, and leadership roles in academic and scientific communities; his strengths for the Best Researcher Award lie in his strong interdisciplinary background, extensive publication record, impactful contributions to digital health, and demonstrated leadership in academic and professional organizations, while areas for improvement could include expanding international collaborative research projects, increasing focus on translational studies that directly impact healthcare practices, and further integrating AI-driven solutions with clinical validation, and overall, his future research potential is highly promising given his focus on artificial intelligence, telemedicine, and health information systems which are globally relevant, fast-growing fields, positioning him to make transformative contributions in digital health innovation, interdisciplinary research, and the training of future professionals, making him a highly suitable candidate for the Best Researcher Award

Profile : Orcid | Google Scholar

Featured Publications

Fino, P. C., Mojdehi, A. R., Adjerid, K., Habibi, M., Lockhart, T. E., & Ross, S. D. (2016). Comparing postural stability entropy analyses to differentiate fallers and non-fallers. Annals of Biomedical Engineering, 44(5),

Habibi, M. R., & Ghasemi, M. (2011). Numerical study of magnetic nanoparticles concentration in biofluid (blood) under influence of high gradient magnetic field. Journal of Magnetism and Magnetic Materials.

Habibi, M. R. M., Abadi, F. M., Tabesh, H., Vakili-Arki, H., Abu-Hanna, A., & Eslami, S. (2018). Evaluation of patient satisfaction of the status of appointment scheduling systems in outpatient clinics: Identifying patients’ needs. Journal of Advanced Pharmaceutical Technology & Research, 9(2), 51–55.

Kiabi, F. H., Habibi, M. R., Soleimani, A., & Zeydi, A. E. (2013). Mirror therapy as an alternative treatment for phantom limb pain: A short literature review. The Korean Journal of Pain, 26(3), 309–311.

Jalali, S., Majd, N. M., Torabi, S., Habibi, M., Homayouni, H., & Mohammadi, N. (2015). The effect of acupuncture on the success of inferior alveolar nerve block for teeth with symptomatic irreversible pulpitis: A triple-blind randomized clinical trial. Journal of Endodontics, 41(9), 1397–1402.

Habibi, M. R. M., Mohammadabadi, F., Tabesh, H., Vakili-Arki, H., Abu-Hanna, A., & Eslami, S. (2019). Effect of an online appointment scheduling system on evaluation metrics of outpatient scheduling system: A before–after multicenter study. Journal of Medical Systems, 43(8), 281.

Habibi, M. R., Ghassemi, M., & Hamedi, M. H. (2012). Analysis of high gradient magnetic field effects on distribution of nanoparticles injected into pulsatile blood stream. Journal of Magnetism and Magnetic Materials, 324(8), 1473–1482.

Ghaddaripouri, K., Mousavi Baigi, S. F., Abbaszadeh, A., & Mazaheri Habibi, M. R. (2023). Attitude, awareness, and knowledge of telemedicine among medical students: A systematic review of cross-sectional studies. Health Science Reports, 6(3), e1156.

Habibi, M. R., Baradari, A. G., Soleimani, A. R. A., Zeydi, A. E., Nia, H. S., Habibi, A., & Kiabi, F. H. (2014). Hemodynamic responses to etomidate versus ketamine-thiopental sodium combination for anesthetic induction in coronary artery bypass graft surgery patients with low ejection fraction. Journal of Clinical and Diagnostic Research, 8(10), GC01–GC05.

Baradari, A. G., Alipour, A., Habibi, M. R., Rashidaei, S., & Zeydi, A. E. (2017). A randomized clinical trial comparing hemodynamic responses to ketamine–propofol combination (ketofol) versus etomidate during anesthesia induction in patients with left ventricular dysfunction. Archives of Medical Science, 13(5), 1102–1110.

Habibi, M. R., Habibi, V., Habibi, A., & Soleimani, A. (2018). Lidocaine dose–response effect on postoperative cognitive deficit: Meta-analysis and meta-regression. Expert Review of Clinical Pharmacology, 11(4), 361–371.

Soleimani, A., Heidari, N., Habibi, M. R., Kiabi, F. H., Khademloo, M., & Zeydi, A. E. (2017). Comparing hemodynamic responses to diazepam, propofol and etomidate during anesthesia induction in patients with left ventricular dysfunction undergoing coronary artery bypass graft surgery. Medical Archives, 71(3), 198–203.

Habibi, M., Karimi, V., Langeroudi, A. G., Ghafouri, S. A., Hashemzadeh, M., … & Dadras, H. (2017). Combination of H120 and 1/96 avian infectious bronchitis virus vaccine strains protect chickens against challenge with IS/1494/06 (variant 2)-like infectious bronchitis virus. Acta Virologica, 61(2), 150–160.

Varmazyar, M., Habibi, M. R., Amini, M., Pordanjani, A. H., Afrand, M., & Vahedi, S. M. (2020). Numerical simulation of magnetic nanoparticle-based drug delivery in presence of atherosclerotic plaques and under the effects of magnetic field. Powder Technology, 366, 164–174.

Mirahmadizadeh, A., Heiran, A., Bagheri Lankarani, K., Serati, M., Habibi, M., … & Kharmandar, A. (2022). Effectiveness of coronavirus disease 2019 vaccines in preventing infection, hospital admission, and death: A historical cohort study using Iranian registration data during COVID-19 pandemic. Open Forum Infectious Diseases, 9(6), ofac177.

Hedayati, M. T., Khodavaisy, S., Alialy, M., Omran, S. M., & Habibi, M. R. (2015). Invasive aspergillosis in intensive care unit patients in Iran. Acta Medica, 56(2), 52–56.

Mousavi Baigi, S. F., Moradi, F., Vasseifard, F., Abadi, F. M., & Habibi, M. R. M. (2022). The effect of nutrition training on knowledge of students at University of Medical Sciences. Topics in Clinical Nutrition, 37(3), 236–241.

Mousavi Baigi, S. F., Mousavi Baigi, S. M. M., & Habibi, M. R. M. (2022). Challenges and opportunities of using telemedicine during COVID-19 epidemic: A systematic review. Frontiers in Health Informatics, 11(1), 109.

Soleimani, A., Habibi, M. R., Kiabi, F. H., Alipour, A., Habibi, V., Azizi, S., & Zeydi, A. E. (2018). The effect of intravenous N-acetylcysteine on prevention of atrial fibrillation after coronary artery bypass graft surgery: A double-blind, randomised, placebo-controlled trial. Kardiologia Polska (Polish Heart Journal), 76(1), 99–106.

Kiabi, F. H., Soleimani, A., Habibi, M. R., & Zeydi, A. E. (2013). Can vitamin C be used as an adjuvant for managing postoperative pain? A short literature review. The Korean Journal of Pain, 26(2), 209–210.