Ahnaf Tahmid | Decision Sciences | Best Industrial Research Award

Published on by Innovation Technologist

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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Featured Publications


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

Pouya Ghades | Computer Science | Best Academic Researcher Award

Published on by Innovation Technologist

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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