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Mohammad Mainul Hasan

Lecturer
Electrical and Electronic Engineering
Email: mainulhasan@ustc.ac.bd

Profile

Mohammad Mainul Hasan is a researcher and academic specializing in Micro Electrical Discharge Machining (µEDM), Machine Learning, and Control Systems. He holds an M.Sc. in Mechatronics Engineering from the International Islamic University Malaysia (IIUM) and a B.Sc. in Electrical and Electronic Engineering from Ahsanullah University of Science and Technology (AUST). His research focuses on leveraging machine learning, particularly deep learning techniques, to optimize manufacturing systems and processes. As a former researcher at the Autonomous Systems and Robotics Research Unit (ASSRU) at IIUM, he explored predictive maintenance, real-time process monitoring, and machining parameter optimization for microscale manufacturing. With prior experience as a lecturer and graduate research assistant, he has contributed to projects in embedded systems, automation, and manufacturing process optimization. Beyond academia, he possesses expertise in programming, engineering simulations, and web development. His interdisciplinary skill set bridges machine learning, signal processing, and intelligent manufacturing, aiming to develop data-driven solutions for industrial applications.

Education

  • M.Sc. in Mechatronics Engineering, International Islamic University Malaysia, Malaysia.
  • B.Sc. in Electrical and Electronic Engineering, Ahsanullah University of Science and Technology, Bangladesh.

Program Affiliated

  • Bachelor of Science in Electrical and Electronic Engineering

Areas of Interest

  • Micro Electrical Discharge Machining (µEDM)
  • Artificial Intelligence for Smart Manufacturing
  • Predictive Maintenance & Process Optimization
  • Control Systems & Automation
  • Embedded Systems & IoT
  • Signal Processing
  • Natural Language Processing

Courses Taught

  • Control Systems
  • Electrical Circuits
  • Calculus and Matrices
  • Computer Programming Fundamentals (C, C++, Python)
  • Numerical Analysis
  • Electrical Circuits Simulation
  • Electrical Machines
  • Digital Signal Processing
  •  

Journals & Articles

International Journals and Conferences

  • Mohammad Mainul Hasan, Tanveer Saleh and Ali Sophian, “Modelling of Machining Time and its Uncertainty in Micro Electrical Discharge Machining Process Using RSM”, 2024 9th International Conference on Mechatronics Engineering (ICOM), Kuala Lumpur, Malaysia, pp. 163-170, 2024, doi: 10.1109/ICOM61675.2024.10652357.
  • Mohammad Mainul Hasan, Tanveer Saleh, Ali Sophian, M. Azizur Rahman, Tao Huang and Mohamed Sultan Mohamed Ali, “Experimental modeling techniques in electrical discharge machining (EDM): A review”, International Journal of Advanced Manufacturing Technology, vol. 127, pp. 2125–2150, 2023, doi: 10.1007/s00170-023-11603-x.
  • Mohammad Mainul Hasan and Saiful Islam, “Development of an acoustic guitar tuner and graphical user interface (GUI) using MATLAB”, Applied Research and Smart Technology (ARSTech), vol. 3, no. 2, pp. 49–55, Dec. 2022, doi: 10.23917/arstech.v3i2.1185.

Poster Presentation

  • Mohammad Mainul Hasan, Tanveer Saleh and Ali Sophian, “Experimental Modeling of Micro Electro Discharge Machining Using Machine Learning”, Kulliyyah of Engineering, Research, Innovation and Commercialisation Exhibition (KERICE’24), International Islamic University Malaysia, Kuala Lumpur, Malaysia, 12th March, 2024.

Articles under Review

  • Mohammad Mainul Hasan, Tanveer Saleh and Ali Sophian, “Modelling Micro-Edm Operations with Machining Uncertainties: An Integrated Approach Using Artificial Neural Networks and Model Ensembling”. Available at SSRN: http://dx.doi.org/10.2139/ssrn.4770307.