Rabia Iftikhar | Environmental Science | Research Excellence Award

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Ms. Rabia Iftikhar | Environmental Science | Research Excellence Award

Xi’an Jiaotong University | China

Ms. Rabia Iftikhar is an emerging researcher in environmental nanotechnology and advanced materials, with a focus on sustainable wastewater treatment and catalytic processes. Her research integrates nanomaterials synthesis, green chemistry, and advanced oxidation processes for the remediation of dye-contaminated effluents. She has contributed to studies on iron-coated reduced graphene oxide (Fe-RGO) as an efficient catalyst in heterogeneous catalytic ozonation and on green-synthesized ZnO nanoparticles for antimicrobial applications. Her interdisciplinary work spans environmental chemistry, materials science, and energy–environment systems, including green hydrogen deployment. She has published in peer-reviewed journals and is actively engaged in research addressing industrial wastewater pollution, resource recovery, and sustainable treatment technologies.

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André Santos | Economics | Research Excellence Award

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Dr. André Santos | Economics | Research Excellence Award

Universidade Federal de Minas Gerais | Brazil

Dr. André Santos is a health economist and pharmacoeconomics researcher specializing in health technology assessment, cost-effectiveness analysis, and outcomes research. His Scopus record comprises 22 publications, 288 citations, and an h-index of 7, reflecting sustained international scholarly impact. He has authored influential studies on the economic burden of Chagas disease, market concentration in monoclonal antibody innovation, malaria-related quality of life, and pricing of substitute technologies. His work appears in high-impact journals including The Lancet Regional Health – Americas, PLOS ONE, Value in Health Regional Issues, and Quality of Life Research. He applies semi-Markov modeling, systematic reviews, and meta-analysis to support evidence-based reimbursement and public health policy.

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Economic Burden of Chagas Disease in Brazil: A Nationwide Cost-of-Illness Study

– The Lancet Regional Health – Americas, 2025 • Open Access

Şuayip Yüzbaşı | Mathematics | Research Excellence Award

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Prof. Dr. Şuayip Yüzbaşı | Mathematics | Research Excellence Award

Bartın University | Turkey

Prof. Dr. Şuayip Yüzbaşı is an internationally recognized mathematician specializing in differential equations, fractional calculus, and computational mathematics, with strong applications in mathematical biology and mathematical physics. His research focuses on analytical–numerical techniques, including collocation methods based on Bessel, Bernstein, Legendre, Pell–Lucas, and Boubaker polynomials for solving ordinary, partial, functional, and integro-differential equations. According to Scopus, he has published 119 documents, received 2,263 citations, and holds an h-index of 27, reflecting sustained global impact. His work has advanced numerical modeling of real-world phenomena such as population dynamics, epidemiology, and physical systems, contributing reliable algorithms and error-controlled approximation schemes widely cited in applied mathematics literature.

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Howard Scott | Innovation | Research Excellence Award

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Dr. Howard Scott | Innovation | Research Excellence Award

University of Wolverhampton | United Kingdom

Dr. Howard Scott is a researcher in technology-enhanced learning, digital literacies, and post-compulsory teacher education. His work critically examines how digital technologies, social media, learning analytics, artificial intelligence, and mobile learning reshape pedagogy, equity, and professional practice, particularly in further and vocational education and in disrupted or marginalised contexts. He has published extensively in international peer-reviewed journals and edited volumes, with contributions to Postdigital Science and Education, Education + Training, Open Learning, Education Sciences, and Asian Journal of Distance Education. His research is characterised by theoretically informed, practitioner-oriented inquiry into networked learning, critical digital pedagogy, and ethical approaches to educational innovation.

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Ahnaf Tahmid | Decision Sciences | Best Industrial Research Award

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Mr. Ahnaf Tahmid | Decision Sciences | Best Industrial Research Award

American International University | Bangladesh

Mr. Ahnaf Tahmid is an early-career researcher in industrial and production engineering, specializing in operations research, data science, machine learning, optimization, quality management, and decision analysis. His work focuses on applying analytical and AI-driven methods to manufacturing systems, supply chains, and transportation safety. He has published in peer-reviewed journals and international conferences, including a recent article in the Journal of Engineering and Applied Science on sustainable cellular manufacturing in the garment industry. His ongoing studies address road-accident severity modeling using machine learning, with submissions under review in Q1 journals such as IATSS Research and International Journal of Information Management Data Insights. His research integrates quantitative modeling with real-world industrial and societal challenges.

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Implementation of TQM Tools for Enhancing Quality: A Case Study in Ready-Made Garment Sector of Bangladesh

– International Conference on Industrial Engineering and Operations Management, 2024

Developing and Implementing Classroom Optimization Model

– International Conference on Industrial & Mechanical Engineering and Operations Management, 2021

Araf Mahmud | Environmental Science | Research Excellence Award

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Mr. Araf Mahmud | Environmental Science | Research Excellence Award

Dhaka International University | Bangladesh

Mr. Araf Mahmud is an emerging researcher in environmental radioactivity, nuclear safety, and materials-related applications, with a strong focus on radiological risk assessment and multivariate statistical analysis of environmental matrices. His work addresses natural and anthropogenic radioactivity in soils, sands, sediments, and coastal and industrial regions, with implications for public health, ecological safety, and nuclear facility siting. He has contributed to pioneering baseline studies around power plants, gas fields, ship-breaking zones, and industrial belts in South and Southeast Asia. His research integrates gamma spectrometry, hazard index modeling, GIS-based analysis, and statistical techniques to support evidence-based environmental monitoring and policy-relevant radiation protection frameworks.

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Pouya Ghades | Computer Science | Best Academic Researcher Award

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Mr. Pouya Ghades | Computer Science | Best Academic Researcher Award

University Of Mohaghegh Ardebili | Iran

Mr. Pouya Ghadesi is an emerging researcher in artificial intelligence and intelligent systems, with a strong focus on deep learning, computer vision, and image processing. His research centers on developing lightweight and optimized neural network architectures for real-world classification and detection problems. He is the co-author of a peer-reviewed article in Scientific Reports (2025) on land-use classification using MobileNetV3 integrated with the Greedy Osprey Optimization algorithm. His work emphasizes model efficiency, accuracy improvement, and benchmarking against state-of-the-art methods. He has contributed to multiple research projects at the intersection of machine learning and vision systems and has received the NST Award for research excellence.

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