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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Minghua Qiu | Agricultural and Biological Sciences | Excellence in Innovation Award

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Prof. Minghua Qiu | Agricultural and Biological Sciences | Excellence in Innovation Award

Kunming Institute of Botany, Chinese Academy of Sciences | China

Prof. Minghua Qiu is a leading phytochemistry and natural products scientist whose research centers on the discovery, structural elucidation, and functional evaluation of bioactive molecules from medicinal and food plants. He has identified over 800 novel natural products, with particular emphasis on diterpenoids, triterpenoids, alkaloids, and polysaccharides from Coffea species and traditional medicinal genera. His work integrates advanced spectroscopic techniques, metabolomics, and machine learning–assisted structure annotation to accelerate natural product discovery. Prof. Minghua Qiu has made major contributions to coffee chemistry, revealing new diterpenes, flavor precursors, and health-related compounds. He holds numerous invention patents and has authored multiple books and highly cited research articles in top-tier journals.

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Anaerobic germination of green coffee beans: A novel strategy to improve the quality of commercial Arabica coffee

Yanbing Wang et al., Minghua Qiu* – Current Research in Food Science, 2023

Kabore Kayaba | Biochemistry | Young Researcher Award

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Mr. Kabore Kayaba | Biochemistry | Young Researcher Award

Joseph KI Zerbo University of Ouagadougou | Burkina Faso

Mr. Kabore Kayaba is a food biochemist and agrotechnology researcher specializing in phytochemistry, functional foods, and bioactive compounds from indigenous African plants. His research integrates biochemical engineering, antioxidant science, and antimicrobial screening to develop nutritionally optimized and health-promoting food products from local resources. He has contributed to peer-reviewed journals on phenolic profiling, antioxidant capacity, and antimicrobial activity of plant extracts, notably Uvaria chamae, a traditional food plant from Burkina Faso. His work also extends to formulation and quality characterization of energy-dense foods for high-performance nutrition. Mr. Kabore Kayaba’s research emphasizes food security, value addition, and evidence-based utilization of underexploited botanical resources in Africa.

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Yajing Wang | Pharmacology | Research Excellence Award

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Prof. Yajing Wang | Pharmacology | Research Excellence Award

Changzhou University | China

Prof. Yajing Wang is a pharmaceutical scientist specializing in advanced drug delivery systems, lipid-based gene carriers, and intelligent stimuli-responsive nanocarriers. Her research integrates pharmaceutics, nanotechnology, and molecular therapeutics to address challenges in gene delivery, insoluble drug solubilization, and targeted therapy. According to Scopus, she has published 22 peer-reviewed documents, received 108 citations, and holds an h-index of 5. Her work has appeared in high-impact journals such as Journal of Liposome Research, Fitoterapia, Pharmaceutical Biology, ACS Food Science & Technology, and Drug Delivery. She has contributed significantly to lipid nanoparticle engineering, thermosensitive and dual-responsive nanogels, and functionalized liposomal systems for cancer, neurological, and cardiovascular applications.

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Emmanuel Izuwa | Metrology | Research Excellence Award

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Mr. Emmanuel Izuwa | Metrology | Research Excellence Award

Cranfield University | United Kingdom

Mr. Emmanuel Izuwa is a researcher in intelligent automation and advanced manufacturing, with a strong focus on connected metrology, digital twin technologies, and precision robotics for aerospace and large-scale assembly applications. His research integrates sensor-driven metrology, automated inspection, and cyber–physical systems to enhance dimensional accuracy, process reliability, and data-driven decision-making in manufacturing environments. He has contributed to peer-reviewed conference and book publications addressing predictive metrology, uncertainty modeling, and metrology–robot integration. According to Scopus, he has 3 publications, His work demonstrates emerging impact in the fields of digital manufacturing and intelligent quality assurance.

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Automated USMN Integration for Precision Robotics and Large-Scale Metrology

– Emmanuel Izuwa, Daniela Sawyer, · Towards Autonomous Robotic Systems · August 2025 ·


Predictive Metrology Data Reconstruction Using Support Vector Regression

– Fuyou Li, Emmanuel Izuwa, Gilbert Tang, Phil Webb · ICCMA 2024 · November 2024 ·


Evolution and Application of Dimensional Metrology: A Comparative Review

– Emmanuel Izuwa, Seemal Asif, Phil Webb · International Journal of Computer Integrated Manufacturing · December 2025