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AHSANULLAH UNIVERSITY OF SCIENCE AND TECHNOLOGY

Department of

Mechanical and Production Engineering




Mr. Shah Md. Ashiquzzaman Nipu



Designation: Assistant Professor

Email: nipu.ipe@aust.edu

Office Extension:

Room No: 9C01



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

  • Additive manufacturing-based composites for sensors and other applications, Materials Science and Materials Engineering, 2024
  • Machinability investigation of natural fibers reinforced polymer matrix composite under drilling: Leveraging machine learning in bioengineering applications, AIP Advances, 2024
  • A new approach to inventory classification using a multi-criteria decision-making method to increase business efficiency, Int. J. Management Concepts and Philosophy, 2024
  • 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
  • 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
  • A decision support system for classifying supplier selection criteria using machine learning and random forest approach, Decision Analytics Journal, 2023
  • The Development of a Measure of Risk Using Fuzzy Logic, International Journal of Applications of Fuzzy Sets and Artificial Intelligence, 2019
  • Qualitative model for identifying leadership using fuzzy logic, International Journal of Applications of Fuzzy Sets and Artificial Intelligence, 2019