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Month: January 2026
Gejla Toromani | Biochemistry | Research Excellence Award
Ms. Gejla Toromani | Biochemistry | Research Excellence Award
Miami University | United States
Ms. Gejla Toromani is an Honors College undergraduate researcher majoring in Biology with a premedical concentration at Miami University, with an expected graduation in 2026. Her interdisciplinary research spans virology, regenerative medicine, oncology, climate biology, and biomedical physics. She has contributed to at least five peer-reviewed publications in reputable international journals, including AIP Advances, Cureus, Annals of Plastic Surgery, and Medicina, and has presented her work at major national and international conferences. Her research experience includes a competitive summer fellowship at the University of Illinois Chicago, collaborative cancer database studies with multiple U.S. institutions, and long-term ecological analyses of Antarctic algae under climate stress. Through translational projects such as VR therapy for Parkinson’s disease and crisis mental health support, her work demonstrates clear societal relevance. Actively engaged in leadership and undergraduate research advocacy, she represents a strong emerging scholar with meaningful global and community impact.
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Lidia Mihaela Necula | Arts and Humanities | Research Excellence Award
Dr. Lidia Mihaela Necula | Arts and Humanities | Research Excellence Award
Dunarea de Jos University of Galati, Romania | Romania
Dr. Lidia Mihaela Necula is a Senior Lecturer and PhD holder in Philology at “Dunărea de Jos” University of Galați, Romania, with over two decades of academic experience in English language and literature, translation studies, discourse analysis, and cultural studies. She has held progressive academic roles from teaching assistant to senior lecturer and currently coordinates the English Retraining Program within the university’s Lifelong Learning framework. Dr. Necula is actively involved in academic management, doctoral supervision committees, and quality assurance in higher education. Her research and editorial activity includes sustained service on the editorial board of the internationally indexed journal Cultural Intertexts and participation in numerous international conferences and workshops across Europe. With a strong publication record indexed in major academic platforms and active international collaborations, her work contributes to advancing humanities research, inclusive education, and intercultural academic dialogue, with clear societal and educational impact.
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Featured Publications
Necula, Lidia Mihaela (2024). Pre-Raphaelite Food Politics or, Feasting on Desire: John Everett Millais, Social Norms and Women. Cultural Intertexts.
Necula, Lidia Mihaela (2023). Academic English Retraining and Professional Communication in Lifelong Learning Programs. Conference / Educational Studies.
Eniko Nemes-Nagy | Health Professions | Research Excellence Award
Assoc. Prof. Dr. Eniko Nemes-Nagy | Health Professions | Research Excellence Award
George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Targu Mures | Romania
Assoc. Prof. Dr. Nemes-Nagy Enikő is an Associate Professor in the Department of Chemistry and Medical Biochemistry at the “George Emil Palade” University of Medicine, Pharmacy, Science, and Technology of Târgu Mureş, Romania, and a senior laboratory specialist physician. Her academic and clinical expertise lies in medical biochemistry and laboratory medicine, with a primary research focus on oxidative stress in chronic diseases, including diabetes mellitus, hypertension, and obesity. She has authored over 62 full-length peer-reviewed scientific articles published in national and international indexed journals, with a Hirsch index of 7, and has contributed 245 conference abstracts, many of which have received awards. Dr. Nemes-Nagy is also the first author of major biochemistry textbooks and multiple international book chapters. Through interdisciplinary collaborations, student research supervision, and clinical diagnostics, her work has contributed to improved laboratory practices and evidence-based management of chronic metabolic diseases, demonstrating significant academic and societal impact.
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174
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Featured Publications
Nemes-Nagy, Eniko, et al. (2024). Comparative analysis of paraclinical parameters in the assessment of osteoporosis: an integrative approach. Balneo and PRM Research Journal. (Open Access)
Nemes-Nagy, Eniko, et al. (2024). The Predictive Role of Inflammatory Biomarkers and Their Correlation with the Biochemical Profile in Patients with Vasculopathy Undergoing Surgery. International Journal of Molecular Sciences. (Open Access)
Nemes-Nagy, Eniko, et al. (2024). Update on Biomarkers of Chronic Inflammatory Processes Underlying Diabetic Neuropathy. Review Article · International Journal of Molecular Sciences.
Miaomiao Wu | Agricultural and Biological Sciences | Excellence in Research Award
Ms. Miaomiao Wu | Agricultural and Biological Sciences | Excellence in Research Award
Institute of Crop Sciences, Chinese Academy of Agricultural Sciences (CAAS) | China
Miao Miao Wu, M.Sc., is an early-career researcher specializing in crop science, agronomy, and seed industry research, with a strong focus on mung bean genetics and nutritional quality. She is currently pursuing a Master of Agriculture at Inner Mongolia Minzu University, with training at the Chinese Academy of Agricultural Sciences. Her research integrates classical genetics, transcriptomics, and nutritional biochemistry to elucidate the genetic basis and health implications of seed coat color variation in legumes. She has authored or co-authored six peer-reviewed publications, including SCI-indexed articles in Agronomy (Q2) and SABRAO Journal of Breeding and Genetics, with one manuscript under review in Theoretical and Applied Genetics (Q1). Her work contributes to crop improvement, functional food development, and sustainable agriculture, offering clear societal impact through enhanced nutritional value and utilization potential of legume crops.
Obuya Oloo | Engineering | Research Excellence Award
Mr. Obuya Oloo | Engineering | Research Excellence Award
Durban University of Technology | Kenya
Mr. Obuya Oloo Tryphone is an emerging interdisciplinary researcher and engineer specializing in mechatronics, mechanical and industrial engineering, with a strong focus on design, simulation, fracture mechanics, and advanced manufacturing technologies. He holds a Bachelor’s degree in Mechanical Engineering and a Master of Engineering in Industrial Engineering, and is currently pursuing dual master’s programs in Mechatronics at ETH Zurich and Ashesi University under prestigious ETH4D and Tetra Pak scholarships. His research contributions include a peer-reviewed master’s thesis published with Wiley, a book chapter with Elsevier on additive manufacturing for energy storage applications, and applied engineering projects adopted in academic and industrial settings. He has collaborated with international faculty across Europe and Africa and contributed to infrastructure safety, materials research, and laboratory innovation. His work demonstrates clear societal impact through sustainable engineering, education mentorship, and climate-positive initiatives aligned with the SDGs.
Featured Publications
Tryphone Obuya Oloo, Oludolapo Akanni Olanrewaju, Samson Oluropo Adeosun, Mohammad Rezwan Habib (2026).
Experimental Analysis of Fracture Mechanics of Aluminum 7075 Alloy Plate With an Edge Crack Using MATLAB Software. Advances in Materials Science and Engineering • Journal Article
Experimental Analysis of Fracture Mechanics of Aluminum 7075 Alloy Plate With an Edge Crack Using MATLAB Software. Advances in Materials Science and Engineering • Journal Article
Ferdib Al Islam | Computer Science | Research Excellence Award
Mr. Ferdib Al Islam | Computer Science | Research Excellence Award
Northern University of Business and Technology Khulna | Bangladesh
Ferdib-Al-Islam is an Assistant Professor of Computer Science and Engineering at Northern University of Business and Technology Khulna, Bangladesh. He holds an M.Sc. and B.Sc. in CSE and has extensive academic and industrial experience spanning software engineering, IoT, and applied artificial intelligence. His research expertise centers on machine learning, deep learning, explainable AI, large language models, computer vision, and multimodal fusion, with a strong emphasis on trustworthy and interpretable AI for healthcare, agriculture, and smart systems. He has authored 30+ peer-reviewed journal and conference publications, including articles in Springer, IEEE, ACM, and Scopus-indexed journals, and has received multiple best paper and gold awards. An active international collaborator and reviewer for leading journals, he contributes to societal impact through AI-driven healthcare diagnostics, smart farming, and assistive technologies.
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Featured Publications
Islam, Md. Rabiul; Godder, T. K.; Ul-Ambia, A.; Ferdib Al-Islam et al. (2025).
Ensemble model-based arrhythmia classification with local interpretable model-agnostic explanations. IAES International Journal of Artificial Intelligence (IJ-AI), Vol. 14, No. 3 • DOI: 10.11591/ijai.v14.i3.pp2012-2025
Ensemble model-based arrhythmia classification with local interpretable model-agnostic explanations. IAES International Journal of Artificial Intelligence (IJ-AI), Vol. 14, No. 3 • DOI: 10.11591/ijai.v14.i3.pp2012-2025
Akter, L.; Ferdib Al-Islam; Islam, Md. M.; Al-Rakhami, M. S.; Haque, Md. R. (2021).
Prediction of Cervical Cancer from Behavior Risk Using Machine Learning Techniques. SN Computer Science, Vol. 2, No. 3 • DOI: 10.1007/s42979-021-00551-6
Prediction of Cervical Cancer from Behavior Risk Using Machine Learning Techniques. SN Computer Science, Vol. 2, No. 3 • DOI: 10.1007/s42979-021-00551-6
Saha, P.; Sadi, M. S.; Aranya, O. F. M. R. R.; Jahan, S.; Al-Islam, F. (2021).
COV-VGX: An automated COVID-19 detection system using X-ray images and transfer learning. Informatics in Medicine Unlocked, Vol. 26 • DOI: 10.1016/j.imu.2021.100741
COV-VGX: An automated COVID-19 detection system using X-ray images and transfer learning. Informatics in Medicine Unlocked, Vol. 26 • DOI: 10.1016/j.imu.2021.100741
Rana, Md. M. R.; Adnan, Md. N.; Siddique, Md. M.; Rahman, Md. T.; Ferdib Al-Islam (2024).
Predicting Education Level of the Farmers’ Children of a Developing Country during COVID-19 Using Machine Learning. International Journal of Modern Education and Computer Science (IJMECS), Vol. 16, No. 6 • DOI: 10.5815/ijmecs.2024.06.07
Predicting Education Level of the Farmers’ Children of a Developing Country during COVID-19 Using Machine Learning. International Journal of Modern Education and Computer Science (IJMECS), Vol. 16, No. 6 • DOI: 10.5815/ijmecs.2024.06.07
Hossain, S. S.; F. Al-Islam; Islam, Md. R.; Rahman, S.; Parvej, Md. S. (2025).
Autism Spectrum Disorder Identification from Facial Images Using Fine-Tuned Pre-trained Deep Learning Models and Explainable AI Techniques. Semarak International Journal of Applied Psychology, Vol. 5, No. 1, pp. 29–53
Autism Spectrum Disorder Identification from Facial Images Using Fine-Tuned Pre-trained Deep Learning Models and Explainable AI Techniques. Semarak International Journal of Applied Psychology, Vol. 5, No. 1, pp. 29–53
Wei Huang | Engineering | Research Excellence Award
Prof. Dr. Wei Huang | Engineering | Research Excellence Award
SINOMACH Research Center of Engineering Vibration Control Technology | China
Prof. Dr. Wei Huang is a senior researcher in engineering vibration control, vibration isolation, and intelligent structural control, with a strong focus on integrating optimization algorithms and deep learning into vibration analysis and mitigation. His research spans active, semi-active, and passive vibration control, magnetorheological dampers, low-frequency isolation systems, and vibration recognition and prediction using CNNs, ResNet, LSTM, Transformer, and reinforcement learning. He has authored more than 35 peer-reviewed journal papers, including SCI/EI-indexed publications, and contributed to 10+ academic monographs published by Springer Nature and leading Chinese publishers. He has played key roles in the development of national and group standards for engineering vibration control and holds over 25 granted patents, with many more under review. His work has been widely applied in precision equipment, industrial buildings, nuclear and seismic engineering, delivering significant societal and engineering impact.
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Bulti Kumera | Immunology and Microbiology | Best Academic Researcher Award
Mr. Bulti Kumera | Immunology and Microbiology | Best Academic Researcher Award
Injibara University | Ethiopia
Bulti Kumera Fufa is an Assistant Professor of Microbiology at Injibara University, Ethiopia, with more than a decade of academic and research experience in microbiology and food safety. He holds an MSc in Microbiology from Hawassa University and a BSc in Biology from Debre Berhan University. His research expertise spans food and water microbiology, antimicrobial resistance, mycotoxins, bioremediation, mushroom cultivation, and biofertilizers. He has authored and co-authored nine peer-reviewed journal articles, including publications in Microbiology Open, Discover Applied Sciences, Journal of Water and Health, and BioMed Research International, and currently has additional work under review. Dr. Fufa has served as a principal investigator on applied research projects addressing agricultural waste utilization and antimicrobial properties of natural products. His work contributes directly to public health improvement, food safety assurance, environmental sustainability, and community awareness in Ethiopia through interdisciplinary collaboration and evidence-based research.
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Scopus Profile
ORCID iD
Zhipeng Ma | Energy | Research Excellence Award
Prof. Zhipeng Ma | Energy | Research Excellence Award
Yanshan University | China
Prof. Zhipeng Ma is an Associate Professor at the School of Environmental and Chemical Engineering, Yanshan University, China. He obtained his PhD in 2015 and completed postdoctoral research at Yanshan University from 2015 to 2017. His research expertise lies in the surface and interfacial regulation of nanomaterials, with a strong focus on the development of advanced nanostructured materials for energy storage and conversion. Prof. Ma’s work addresses the mechanical behavior of core–shell transition metal sulfides and oxides during electrochemical processes, the design of electronically tunable metal compound electrocatalysts, and the application of electrolytic metal foils in energy devices and semiconductor technologies. He has authored multiple peer-reviewed publications with notable citations and collaborates actively with interdisciplinary research teams. His research contributes to sustainable energy technologies and next-generation electronic materials with significant societal and industrial relevance.
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3,972
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Scopus Profile
Google Scholar