Department of Industrial and Production Engineering (IPE)

Mohammad Naim Uddin

Assistant Professor / Instructor Class ‘B’, Department of Industrial and Production Engineering (IPE)

Education

  • MSc in Electrical, Electronic and Communication Engineering
  • BSc in Electrical and Electronic Engineering

Subjects Taught

  • Microprocessors and Interfacing
  • Electrical Machines
  • Power System Protection
  • Electrical Circuits

Research Interest

  • Embedded Systems
  • Microprocessors, Microcontrollers and Programmable Circuits
  • Power System
  • Artificial Intelligence (AI)

Selected Publications

Journal Articles:

  • M. N. Uddin, H. Nyeem and M. T. Amin, "PlugGuard: A Neural Network-Based Power Quality Control System for Plug Loads," IEEE Transactions on Industrial Informatics, doi: 10.1109/TII.2024.3413325. URL: https://ieeexplore.ieee.org/document/10575925
  • M. N. Uddin, H. Nyeem, Engineering a multi-sensor surveillance system with secure alerting for next-generation threat detection and response, Results in Engineering (Elsevier), vol. 22 (2024), doi: 10.1016/j.rineng.2024.101984.
  • S. M. Hossain and M. N. Uddin, “Energy harvesting from human foot movement,” International Journal of Ambient Energy (Taylor and Francis), vol. 42, no. 3, pp. 251–256, 2021, doi: 10.1080/01430750.2018.1542623.

Conference Papers:

  • M. N. Uddin and M. T. Amin, "An Improved Neural Network Based Load Invariant Electrical Harmonic Detector," 2020 IEEE International Conference for Innovation in Technology (INOCON), Bangaluru, India, 2020, pp. 1-5, doi: 10.1109/INOCON50539.2020.9298319.
  • M. N. Uddin and M. T. Amin, "Design and Simulation of Active Power Filter Based on Feed Forward Neural Network for Harmonic Detection and Elimination," 2020 International Conference on Computer, Electrical & Communication Engineering (ICCECE), Kolkata, India, 2020, pp. 1-6, doi: 10.1109/ICCECE48148.2020.9223026.
  • Kabir et al., "GSM-GPRS Based Smart Street Light," 2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST), DHAKA, Bangladesh, 2021, pp. 67-71, doi: 10.1109/ICREST51555.2021.9331139.
  • Q. D. Hossain, M. N. Uddin and M. M. Hasan, "Collision avoidance technique using bio-mimic feedback control," 2014 International Conference on Informatics, Electronics & Vision (ICIEV), Dhaka, Bangladesh, 2014, pp. 1-6, doi: 10.1109/ICIEV.2014.6850784
  • M. N. Uddin, M. Sakibul Islam Sakib, S. Nawer and R. T. Mohona, "Improved Fire Detection by YOLOv8 and YOLOv5 to Enhance Fire Safety," 2023 26th International Conference on Computer and Information Technology (ICCIT), Cox's Bazar, Bangladesh, 2023, pp. 1-6, doi: 10.1109/ICCIT60459.2023.10441615. 
  • R. T. Mohona, S. Nawer, M. S. I. Sakib and M. N. Uddin, "A YOLOv8 Approach for Personal Protective Equipment (PPE) Detection to Ensure Workers’ Safety," 2024 3rd International Conference on Advancement in Electrical and Electronic Engineering (ICAEEE), Gazipur, Bangladesh, 2024, pp. 1-6.
  • M. H. Chowdhury, “Development of Automatic Smart Waste Sorter Machine”, International Conference on Mechanical, Industrial and Materials Engineering, vol. 2013, no. November, pp. 1–3, 2013.

Awards
  • Champion: Line-Follower Robot Racing Competition
    An inter-university line-follower robot racing competition was held as a part of the International Conference on Communication & Information Technology (ICCIT) 2015. This event featured 25 teams from prestigious universities, where my team designed, developed, and programmed an autonomous robot capable of navigating a complex track with precision and speed. Our robot stood 1st out due to its advanced sensor integration, optimized control algorithms, and efficient circuit design, which enabled us to outperform all other teams and claim the championship title. This victory was a testament to our innovative approach to robotics and teamwork under competitive conditions. A glimpse of the practice session of the line-follower is visible at this video link.
  • Mentor: Best Project
    The award-winning project titled "Smart Street Light System in Mirpur Cantonment Area", was recognized as the best technical project at the "MIST Best Project Award-2018". This innovative project focused on enhancing energy efficiency and automation in street lighting within the Mirpur Cantonment area. The system utilized advanced sensors and smart control mechanisms to dynamically adjust lighting based on traffic flow and environmental conditions, significantly reducing energy consumption while ensuring optimal illumination. Winning this prestigious award highlighted the project's technical excellence and its potential for real-world applications in smart city infrastructure. The project was later acknowledged by the then Dhaka North City Corporation authority.

Projects Digital Arsenal Management System for Military (Financed by Bangladesh Army)(Click for details)

Project Details

► Smart Street Light Management System for Rural Area (Financed by Military Institute of Science & Technology)
► Automated Pop-Up Target system for Rifle Shooting Trainee (Financed by Bangladesh Army)
► AI-Driven Smart Conveyor System for Industries (Financed by Military Institute of Science & Technology)
► AI-Powered Aerial Surveillance System Using UAVs
► AI-Powered Terrestrial Surveillance System
► Numerous microcontroll
er-based hobbyistic projects ( Raspberry-based AI-driven fire detection, PID-powered seamless line follower, Smart home security system etc.)


Additional Responsibilities Served
  • Organizing Committee Member: ICEEICT 2016, ICEEICT 2023
  • Founding member: MIST Robotics Club, Robo-Mechatronics Association (RMA-CUET)
  • Trainer: Short course on Microcontroller and Robotics (2015, 2016, 2017)
  • Program Coordinator:  Dept of Industrial and Production Engineering (2023-till)
  • Program-coordinator: Dept of Biomedical Engineering (2019)
  • Faculty Program-coordinator: Engineering Faculty, Bangladesh Military Academy (2019-2021)
  • Organizing secretary: Robo-mechatronics Association (RMA BD) (2012-2013