Nafi Ahmed

About

I am Nafi Ahmed, a Ph.D. candidate at the Industrial and Systems Engineering Department with unique expertise in biomanufacturing, biotechnology, and gene therapy. With a strong background in both engineering and biological sciences, I am passionate about leveraging my multidisciplinary skillset to bring innovative solutions to complex problems in the biomanufacturing and biopharma industries.

Throughout my career, I have consistently demonstrated my ability to streamline manufacturing processes, optimize production efficiency, and maintain the highest quality standards in compliance with regulatory requirements. My experience in mammalian and insect cell culture technology, including the development and scale-up of bioreactors, has enabled me to contribute to the growth and advancement of life-saving therapies and cellular agriculture.

As a proactive problem solver and continuous learner, I am always eager to stay updated with the latest advancements in the field and expand my knowledge to better serve the needs of the industry. I pride myself on my ability to collaborate effectively with cross-functional teams and communicate complex concepts in a clear and concise manner.

Employment

• North Carolina State University Research Assistant
  2021 - Present
• Ahsanullah University of Science and Technology Lecturer
  2017 - 2020

Education

• North Carolina State University Master of Industrial Engineering (MIE)
  2021 - 2023
• Bangladesh University of Engineering and Technology M.Sc. in Industrial And Production Engineering
  ? - 2020
• Bangladesh University of Engineering and Technology B.Sc. in Industrial and Production Engineering
  ? - 2017

Projects & Funding

Projects & funding information is unavailable.

Publications (9)

• Assessment of Bovine Collagen Manufactured via Cellular Agriculture
  ACS Biomaterials Science & Engineering 2026 DOI: 10.1021/acsbiomaterials.5c02203
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• Digital light processing (DLP) bioprinting of collagen-riboflavin hydrogels for cultivated meat applications☆
  Manufacturing Letters 2025 DOI: 10.1016/j.mfglet.2025.06.104
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• A framework for digital twin integration in biofabrication and a scaffold 3D bioplotting case study
  Manufacturing Letters 2024 DOI: 10.1016/j.mfglet.2024.09.144
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• Improving sporadic demand forecasting using a modified k-nearest neighbor framework
  Engineering Applications of Artificial Intelligence 2024 DOI: 10.1016/j.engappai.2023.107633
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• Forecasting Supply Chain Sporadic Demand Using Support Vector Machine Approaches
  International Journal of Applications of Fuzzy Sets and Artificial Intelligence 2020
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• Partner Selection for Multi-Echelon Supply Chain Using Artificial Bee Colony Algorithm
  2020
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• Multi-Objective Mixed Model Assembly Line Balancing Using Mixed Integer Linear Programming
  American Journal of Industrial Engineering 2020
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• An efficient ant colony algorithm for multi-depot heterogeneous fleet green vehicle routing problem
  Proceedings of the International Conference on Industrial Engineering and Operations Management 2020
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• Forecasting supply chain sporadic demand using principal component analysis (Pca)
  Proceedings of the International Conference on Industrial Engineering and Operations Management 2020
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