Mr. Williams Ampadu Oduro | Decision-making and Problem-solving | Best Researcher Award

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Mr. Williams Ampadu Oduro | Decision-making and Problem-solving | Best Researcher Award

Akuapem North Municipal Assembly  |  Ghana

Williams A. Oduro is an environmental health and public health researcher with a strong academic foundation in Environmental Science (BSc) and Public Health (MPH) from the University of Ghana. His expertise lies in the intersection of environmental pollution, water, sanitation, and hygiene (WASH), with particular emphasis on risk assessment, environmental monitoring, and sustainable remediation strategies. Over the past five years, he has developed extensive experience in environmental health and safety, conducting studies on pollution exposure, disease prevention, and healthcare-seeking behaviors. He has enhanced his expertise through advanced training, including certifications in project management, pandemic preparedness, e-waste management, and process plant operations. His research interests extend to geospatial analysis and hazard management, where he aims to integrate scientific innovation into sustainable health interventions. Recognized for his contributions, he has received professional training awards and actively collaborates in interdisciplinary projects that address environmental and public health challenges. With a growing record of research in WASH, occupational health, and environmental pollution, his future goals include advancing evidence-based strategies for public health resilience, environmental sustainability, and global health security. His work reflects a commitment to improving human well-being while addressing critical environmental issues that shape health outcomes.

Profile:  Google Scholar 

Featured Publications

Frimpong, S., & Oduro, W. A. (2025). Trend analysis of compensation-eligible work-related injuries among workers in the Tema Free Zones Enclave and heavy industrial area. Next Research, 100803.

Adom-Miah, I., Oduro, W. A., Appiah, D. B., & Nortey, T. (2025). Risk factors of preterm birth in Greater Accra Regional Hospital, Ridge. Global Pediatrics, 11, 100247.

Appiah, D. B., Oduro, W. A., & Lardy, L. A. A. (2024). Healthcare-seeking behaviour for schistosomiasis-related signs and symptoms in Ghana’s capital.

Adom-Miah, I., Oduro, W. A., Nortey, T., & Appiah, D. (2025). Assessing risk factors for preterm birth at Ridge Hospital in Ghana’s capital. Global Pediatrics. Advance online publication.

Adom-Miah, I., Oduro, W. A., Appiah, D. B., & Nortey, T. (2025). Global Pediatrics.

Acquah, M. E., & Oduro, W. A. (2025). Determinants of postnatal depression among mothers seeking care at a district-level hospital.

Prof. Dr. Mustafa Öztürk | Educational Leadership | Best Researcher Award

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Prof. Dr. Mustafa Öztürk | Educational Leadership | Best Researcher Award

Boğaziçi University | Turkey

Prof. Dr. Mustafa Öztürk is a distinguished scholar in the field of educational sciences, currently serving as Professor at Boğaziçi University, Faculty of Education. He holds a Ph.D. in Curriculum and Instruction from Middle East Technical University (2014), an M.Sc. in Educational Sciences from the same institution (2008), an M.Ed. in Learning, Learning Environments, and Educational Systems from the University of Turku, Finland (2007), and a B.A. in English Language Teaching from METU (2004). He also completed a Post-Doctoral Fellowship at Columbia University, Teachers College in International and Comparative Education (2016) and earned a PGCert in Peace Studies from Chulalongkorn University, Thailand (2022). His academic career spans teaching and research roles at Hacettepe University, METU Development Foundation Schools, and the Turkish Land Forces before joining Boğaziçi University, where he became Associate Professor in 2023 and full Professor in 2025. With an h-index of 12, his scholarly contributions include 824 citations across documents indexed in Scopus and Web of Science. His research focuses on curriculum development, international and comparative education, teacher training, and peace education. Recipient of national and international research grants, Prof. Öztürk continues to advance global dialogue on education with a commitment to innovative pedagogies and cross-cultural understanding.

Profiles:  Google Scholar | ORCID

Featured Publications

Çiğdem, H., & Öztürk, M. (2016). Factors affecting students’ behavioral intention to use LMS at a Turkish post-secondary vocational school. International Review of Research in Open and Distributed Learning, 17(3), 276–295.

Çiğdem, H., & Öztürk, M. (2016). Critical components of online learning readiness and their relationships with learner achievement. Turkish Online Journal of Distance Education, 17(2), 98–109.

Öztürk, M., & Yıldırım, A. (2013). Adaptation challenges of novice teachers. Hacettepe Üniversitesi Eğitim Fakültesi Dergisi, 28(28-1), 294–307.

Öztürk, M. (2008). Induction into teaching: Adaptation challenges of novice teachers [Master’s thesis, Middle East Technical University]. METU Graduate School of Social Sciences.

Öztürk, M. (2017). Sürdürülebilir gelişme odaklı eğitim: Kuramsal çerçeve, tarihsel gelişim ve uygulamaya dönük öneriler. İlköğretim Online, 16(4), 1–11.

Dr. Shahram Jazaeri | Decision-making and Problem-solving | Best Researcher Award

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Dr. Shahram Jazaeri | Decision-making and Problem-solving | Best Researcher Award

Shiraz University | Iran

Shahram Jazaeri, Ph.D., is an Assistant Professor of Geodesy at Shiraz University whose research bridges advanced geodetic theory and practical applications in positioning and monitoring. He earned his Ph.D. in Geodesy from the University of Tehran with high honors, focusing on fast integer ambiguity resolution methods for real-time GPS positioning, after completing his M.Sc. in Geodesy and B.Sc. in Surveying Engineering, both with top rankings in his cohorts. His academic background is distinguished by consistent excellence, graduating with honors at every stage. Dr. Jazaeri’s expertise spans GNSS integer ambiguity resolution, least-squares adjustment methods, geodetic inverse problems, statistical quality control, and persistent scatterer interferometry for subsidence monitoring. With an h-index of 9, 583 citations, and multiple impactful publications, his research is widely recognized in the geodetic community. He has contributed significantly to advancing methodologies that enhance the accuracy and reliability of geodetic measurements and monitoring systems. His work combines rigorous theoretical foundations with applied solutions, making him a valuable contributor to both academic research and practical geospatial problem-solving. Recognized for his academic excellence and innovative research, Dr. Jazaeri continues to pursue cutting-edge studies in geodesy, positioning technologies, and Earth observation, with strong potential to expand his influence in global geospatial science.

Profile:  Google Scholar

Featured Publications

Amiri-Simkooei, A., & Jazaeri, S. (2012). Weighted total least squares formulated by standard least squares theory. Journal of Geodetic Science, 2(2), 113–124.

Jazaeri, S., Amiri-Simkooei, A. R., & Sharifi, M. A. (2014). Iterative algorithm for weighted total least squares adjustment. Survey Review, 46(334), 19–27.

Jazaeri, S., Amiri-Simkooei, A. R., & Sharifi, M. A. (2012). Fast integer least-squares estimation for GNSS high-dimensional ambiguity resolution using lattice theory. Journal of Geodesy, 86(2), 123–136.

Amiri-Simkooei, A. R., Jazaeri, S., Zangeneh-Nejad, F., & Asgari, J. (2016). Role of stochastic model on GPS integer ambiguity resolution success rate. GPS Solutions, 20(1), 51–61.

Amiri-Simkooei, A. R., & Jazaeri, S. (2013). Data-snooping procedure applied to errors-in-variables models. Studia Geophysica et Geodaetica, 57(3), 426–441.

Jazaeri, S., Amiri-Simkooei, A., & Sharifi, M. A. (2014). On lattice reduction algorithms for solving weighted integer least squares problems: Comparative study. GPS Solutions, 18(1), 105–114.

Assoc. Prof. Dr. Jie Liu | Risk Management | Best Researcher Award

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Assoc. Prof. Dr. Jie Liu | Risk Management | Best Researcher Award

Kunming University of Science and Technology | China

Liu Jie is an Associate Professor and Vice Dean at the School of Public Safety and Emergency Management, Kunming University of Science and Technology, specializing in underground engineering ventilation, urban public safety, environmental air quality monitoring, and intelligent optimization algorithms. He earned his Bachelor and Master of Engineering degrees in Safety Engineering from Kunming University of Science and Technology and a Doctor of Engineering in Safety Science and Engineering from the University of Science and Technology Beijing. Following his doctoral studies, he completed postdoctoral research at the Postdoctoral Research Station of Mining Engineering, Kunming University of Science and Technology, including on-the-job training with the Yunnan Provincial Administration of Work Safety. He has held roles as Lecturer, Mine Safety Director, Deputy Director, Department Director, and Vice Dean, and has been recognized as a Yunnan Provincial Talent. Liu Jie has led and participated in multiple scientific research projects, including the Yunnan Provincial Key R&D Program on harmful air treatment in underground engineering, demonstrating applied solutions for plateau regions. His scholarly contributions include 94 documents with 6 h-index and extensive citations, reflecting his impact in safety engineering and public safety research. He also serves as an expert for the Kunming Emergency Management Bureau and Yunnan Occupational Health and Radiation Health. His work bridges academic research and practical safety applications, advancing innovation in environmental and occupational safety.

Profile: Scopus 

Featured Publications

Research on fire risk quantification for extralong highway tunnels based on Wuli–Shili–Renli theory, Dempster–Shafer theory, and Bayesian network. (2025). Reliability Engineering & System Safety, 2025(…), ….

Numerical simulation and experimental study on oxygenation of tunnel face in plateau tunnel construction. (2025). Tunnelling and Underground Space Technology, 2025(…), ….

Dr. Tse-Hong Chen | Decision-making and Problem-solving | Best Researcher Award

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Dr. Tse-Hong Chen | Decision-making and Problem-solving | Best Researcher Award

Rregeneron Pharmaceuticals | United States

Tse-Hong (Aaron) Chen is a Principal Scientist at Regeneron Pharmaceuticals, specializing in analytical chemistry and separation science for biopharmaceutical development. He earned his Ph.D. in Chemistry from Purdue University, focusing on separation science within analytical chemistry. Over his career, Dr. Chen has led analytical method strategy, development, and tech transfer for diverse therapeutic modalities, including proteins, antibodies, ADCs, siRNAs, and peptides, guiding candidates from discovery through commercial launch. His expertise encompasses non-compendial assays for drug substance release and drug product stability, material comparability, CMC strategy, and regulatory support from IND to BLA. He has authored 12 peer-reviewed articles and holds two patents, with a citation count of 261 and an h-index of 8, reflecting the impact of his work. Dr. Chen has contributed to collaborative forums in biopharma analytical strategy, mentored scientists, and supported innovation in separation techniques for purity and quantitative analysis. Recognized for his leadership and contributions to drug development, he continues to advance analytical methodologies that ensure product quality and accelerate therapeutic pipelines. His work demonstrates a strong combination of technical expertise, strategic insight, and industry impact, positioning him as a leading scientist in pharmaceutical analytical chemistry.

Profile: Google Scholar

Featured Publications

Kwong, K. W., Chen, T. H., Luo, W., Jeddi, H., & Zhang, R. (2015). A biomimetic oxidation catalyzed by manganese (III) porphyrins and iodobenzene diacetate: Synthetic and mechanistic investigations. Inorganica Chimica Acta, 430, 176–183.

Chen, T. H., Yang, Y., Zhang, Z., Fu, C., Zhang, Q., Williams, J. D., & Wirth, M. J. (2019). Native reversed-phase liquid chromatography: A technique for LCMS of intact antibody−drug conjugates. Analytical Chemistry, 91(4), 2805–2812.

Chen, T. H., Yuan, Z., Carver, A., & Zhang, R. (2014). Visible light-promoted selective oxidation of sulfides to sulfoxides catalyzed by ruthenium porphyrins with iodobenzene diacetate. Applied Catalysis A: General, 478, 275–282.

Zhang, R., Vanover, E., Chen, T. H., & Thompson, H. (2013). Visible light-driven aerobic oxidation catalyzed by a diiron (IV) μ-oxo biscorrole complex. Applied Catalysis A: General, 464, 95–100.

Chen, T. H., Kwong, K. W., Lee, N. F., Ranburger, D., & Zhang, R. (2016). Highly efficient and chemoselective oxidation of sulfides catalyzed by iron (III) corroles with iodobenzene diacetate. Inorganica Chimica Acta, 451, 65–72.

Chen, T. H., Kwong, K. W., Carver, A., Luo, W., & Zhang, R. (2016). Enhanced iron (III) corrole-catalyzed oxidations with iodobenzene diacetate: Synthetic and mechanistic investigations. Applied Catalysis A: General, 497, 121–126.

Prof. Tuoyu Geng | Poultry Science | Best Researcher Award

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Prof. Tuoyu Geng | Poultry Science | Best Researcher Award

Yangzhou University | China

Tuoyu (Leo) Geng is a distinguished Professor at the College of Animal Science and Technology, Yangzhou University, with extensive expertise in animal genetics, genomics, and epigenetics. He earned his Ph.D. in Animal Genetics and Genomics from Virginia Tech, USA, following an M.S. and B.S. in Animal Breeding and Genetics from Yangzhou University. Over his career, he has held research and teaching positions across prestigious institutions, including postdoctoral fellowships at Duke University, University of Virginia, and the Medical University of South Carolina. His research focuses on animal genomics, epigenetic regulation, and molecular mechanisms underlying growth, reproduction, and disease resistance in livestock. With over 1423 citations, an h-index of 21, and numerous scholarly publications, Professor Geng has significantly contributed to advancing knowledge in comparative genomics and animal breeding. He has also played a pivotal role in mentoring graduate students and fostering interdisciplinary research collaborations. Recognized for his outstanding research, he has received multiple awards and honors from national and international academic bodies. Professor Geng continues to drive innovation in animal genomics, integrating molecular biology, bioinformatics, and applied breeding strategies to enhance livestock productivity and sustainability.

Profile: Scopus 

Featured Publications

Screening of polymorphic loci in candidate genes for colobomus eyelid and their application in phenotypic purification of geese. (2025). Poultry Science, 104(…), ….

Glucose deposited during goose fatty liver formation inhibits inflammation in goose fatty liver by reducing the interaction between PKA and IκB. (2025). Poultry Science, 104(…), ….

Non-alcoholic fatty liver disease in poultry: Risk factors, mechanism of development, and emerging strategies. (2025). Poultry Science, 104(…), ….

PRIAM1 participates in the inhibition of inflammation and acetylcholinesterase activity in goose fatty liver formation. (2025). Poultry Science, 104(…), ….

Combined genomic and transcriptomic screening of candidate genes for asymmetric oviduct development in hens. (2025). Agriculture (Switzerland), 104(…), ….

Effects of diets with different protein levels on growth and development and intestinal health of Nongda 6 commercial laying hens during growing period. (2025). Chinese Journal of Animal Nutrition, 104(…), ….

PGC-1α promotes mitochondrial biosynthesis and energy metabolism of goose fatty liver. (2025). Poultry Science, 104(…), ….

Dr. Taiwo Adedeji | Team Building and Team Management | Best Researcher Award

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Dr. Taiwo Adedeji | Team Building and Team Management | Best Researcher Award

Osun State University | Osogbo | Nigeria

Adedeji Taiwo Olugbemiga is a Senior Lecturer in the Department of Surgery at Osun State University, Osogbo, and a Consultant Otorhinolaryngologist at UNIOSUN Teaching Hospital. He obtained his MBChB from Obafemi Awolowo University, Ile-Ife in 2001, followed by residency training in Otorhinolaryngology at LAUTECH Teaching Hospital, culminating in FMCORL (Nigeria, 2012) and FWACS (ORL, 2014). He further enhanced his surgical expertise with specialized training in middle ear surgery and endoscopic sinus surgery in India in 2013. Over the years, he has held several academic and clinical leadership roles, including Head of the ENT Department at UNIOSUN Teaching Hospital since 2022 and Associate Lecturer at LAUTECH. His research focuses on otology, rhinology, head and neck surgery, hearing disorders, and occupational health, with more than 25 published works, over 10 manuscripts under review, 471 citations, an h-index of 12, and an i10-index of 13. He has also contributed to consultancy projects such as audiometric screening and counseling for industrial workers in mining environments. With a strong commitment to advancing ENT practice and medical education, he continues to combine clinical service, research, and teaching to improve patient care and build capacity in Otorhinolaryngology.

Profile:  Scopus 

Featured Publications

“Management of Ear Foreign Bodies: Need to Avoid the Potential Pitfalls”

Ms. Meserret Aslan | Counselling Skills in Health Services | Best Researcher Award

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Ms. Meserret Aslan | Counselling Skills in Health Services | Best Researcher Award 

Istanbul Atlas University | Turkey

Meserret Aslan is a lecturer in midwifery at Istanbul Atlas University, Faculty of Health Sciences, where she contributes to both teaching and research in maternal and child health. She holds a Ph.D. in Midwifery from Istanbul University-Cerrahpaşa, with her doctoral research focusing on the effects of adverse childhood experiences on sexual myths and birth fear among pregnant women. She previously completed her master’s degree with thesis at Marmara University Institute of Health Sciences, where her thesis examined psychosocial aspects of midwifery care, and earned her bachelor’s degree in midwifery from Ankara University Faculty of Health Sciences. Her academic and professional work emphasizes maternal mental health, childbirth fear, psychosocial dimensions of midwifery, and women’s reproductive health. She has been actively involved in TÜBİTAK-supported projects, serving as a consultant and researcher on studies investigating nutrition attitudes in young women, premenstrual syndrome, and the effects of childhood adverse experiences on midwives’ emotional responsiveness during intrapartum care. In addition to her research and teaching, she holds an administrative role as a member of the Quality Commission at Istanbul Atlas University. A member of professional organizations such as the Anadolu Midwives Association and Breastfeeding Volunte

Profile:  ORCID

Featured Publications

“Development and Validation of the Self-Assessment Scale for Counselling Skills in Health Services”

“Factors Influencing Sexual Myth Beliefs Among Pregnant Women”

Assoc. Prof. Dr. Ibrahim Sabry | Decision-making and Problem-solving

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Assoc. Prof. Dr. Ibrahim Sabry | Decision-making and Problem-solving

Benha University | Egypt

Ibrahim Sabry Ibrahim Mahmoud is an Associate Professor in the Department of Mechanical Engineering at Benha University, Egypt, with a distinguished academic and research background in production engineering and mechanical design. He earned his B.Sc. in 2005 from Menoufia University, followed by an M.Sc. in 2011 and a Ph.D. in 2017 from Tanta University, specializing in friction stir welding. Over the course of his career, he has combined academic scholarship with applied industrial consultancy, notably serving as a consultant in welding and heat treatment processes at the El-Burullus Power Station (4800 MW). He has also held teaching roles at the Modern Academy for Engineering and Technology in Cairo. His research contributions are extensive, including publications in prestigious international journals such as the International Journal of Advanced Manufacturing Technology, International Journal of Production Research, and the Journal of Materials Engineering and Performance. His recent works focus on hybrid optimization techniques, advanced welding processes, additive manufacturing, and corrosion prediction using artificial neural networks. He has also authored several academic books and led funded projects, such as converting rice straw into wood. With numerous scholarly documents and citations to his credit, his research interests include welding technologies, advanced manufacturing, operations research, and production aids design. Recognized for both his teaching and research excellence, he continues to advance knowledge in mechanical and production engineering with significant industrial impact.

Profile:  ORCID

Featured Publications

“Optimising batch scheduling on non-identical parallel machines: lower bounds, MIP, branch-and-price, and heuristics”

“Enhancement of the mechanical characteristics for Inconel 700 alloy using friction stir welding with a unique tool shape”

“Exploring the effect of friction stir welding parameters on the strength of AA2024 and A356-T6 aluminum alloys”

“Analysis of variance and grey relational analysis application methods for the selection and optimization problem in 6061-T6 flange friction stir welding process parameters”

“Flange joining using friction stir welding and tungsten inert gas welding of AA6082: A comparison based on joint performance”

Mr. Venkatesh Guntreddi | Machine Learning and Deep Learning | Best Researcher Award

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Mr. Venkatesh Guntreddi | Machine Learning and Deep Learning | Best Researcher Award

Vellore Institute of Technology | India

Venkatesh Guntreddi is an emerging AI professional with a strong academic and industry background in Artificial Intelligence and Machine Learning. He is currently pursuing an M.Tech in Computer Science and Engineering with a specialization in AI and ML at Vellore Institute of Technology, where he has maintained an excellent academic record. He previously earned his B.Tech in Computer Science from Andhra University, building a solid foundation in programming, algorithms, and systems. Professionally, he has gained two years of experience as an AI Engineer at Tech Mahindra, where he developed and deployed end-to-end AI solutions spanning natural language processing, computer vision, and generative AI. His expertise covers the entire data science lifecycle, including data preprocessing, model building, optimization, and deployment using cloud platforms such as AWS and GCP, supported by MLOps best practices. He has worked extensively with advanced techniques in deep learning, transfer learning, and large language models, including Retrieval-Augmented Generation (RAG) and Agentic AI workflows. His research interests lie in scalable AI systems, applied NLP, generative AI, and real-world enterprise applications. Recognized for delivering impactful, production-ready solutions, he is committed to advancing data-driven innovation and seeks opportunities to contribute as an AI/ML Engineer or Data Scientist.

Profile:  ORCID

Featured Publications

“Deep Learning based Glaucoma Detection using Majority Voting Ensemble of ResNet50, VGG16, and Swin Transformer”