Mechanical and Production Engineering

Mr. Shah Md. Ashiquzzaman Nipu

Research Interests

• Polymer Matrix Composite
• Composites Characterization
• Additive Manufacturing
• Machining Parameter Optimization
• Green Manufacturing
• Metal Matrix Composite

Educational Background

• Master of Science (MSc), (Industrial and Production Engineering), Bangladesh University of Engineering and Technology
• Bachelor of Science (BSc), (Industrial and Production Engineering), Ahsanullah University of Science and Technology

Honors and Achievements

• Dean's list of Honor, Ahsanullah University of Science and Technology, 2016

Publications

1. Additive manufacturing-based composites for sensors and other applications, Materials Science and Materials Engineering, 2024, Elsevier. URL

1. Machinability investigation of natural fibers reinforced polymer matrix composite under drilling: Leveraging machine learning in bioengineering applications, AIP Advances, 2024, AIP Publishing.
2. A new approach to inventory classification using a multi-criteria decision-making method to increase business efficiency, Int. J. Management Concepts and Philosophy, 2024, Inderscience Enterprises Ltd..
3. Turning SKD 11 Hardened Steel: An Experimental Study of Surface Roughness and Material Removal Rate Using Taguchi Method, Advances in Materials Science and Engineering, 2023, Hindawi.
4. A decision support system for classifying supplier selection criteria using machine learning and random forest approach, Decision Analytics Journal, 2023, Elsevier.
5. The Development of a Measure of Risk Using Fuzzy Logic, International Journal of Applications of Fuzzy Sets and Artificial Intelligence, 2019.
6. Qualitative model for identifying leadership using fuzzy logic, International Journal of Applications of Fuzzy Sets and Artificial Intelligence, 2019.

1. An Experimental Investigation for Multi-objective Optimization of Turning Parameters on Graphene/Al2O3 Reinforced Polymer Hybrid Nanocomposite using RSM Combined with GRA, 14th International Conference on Mechanical Engineering December 18-19, 2023, 2023.