University of Science and Technology Chittagong

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Ifaz Ahmed Adan

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

Profile

Ifaz Ahmed Adan is a Junior Lecturer in the Department of Electrical and Electronic Engineering (EEE) at the University of Science and Technology Chittagong (USTC). He earned his BSc Engineering degree in Electrical and Electronic Engineering (EEE) with honors from Chittagong University of Engineering and Technology (CUET). His areas of expertise include Machine Learning (ML), Power Plant Optimization using Genetic Algorithms, Printed Circuit Board (PCB) Design, and the Internet of Things (IoT). In the energy sector, his work centers on optimizing power plant performance using multi-objective genetic algorithms and predictive modeling to enhance system reliability and sustainability. In addition to his academic and research pursuits, Ifaz has practical experience in embedded systems and PCB development, which supports his work on IoT-based smart monitoring solutions. He aims to contribute to the advancement of intelligent, sustainable, and technology-driven solutions across diverse engineering domains.

Education

  • BSc. (Hons.) in Electrical and Electronic Engineering (EEE), Chittagong University of Engineering and Technology

Program Affiliated

  • B.Sc. in Electrical and Electronic Engineering

Areas of Interest

  • Control Systems & Automation
  • Embedded Systems & IoT
  • Signal Processing
  • Supercontinuum Generation
  • Machine Learning

Courses Taught

  • Electromagnetic Fields and Waves
  • Digital Electronics
  • Transmission and Distribution of Electrical Power
  • Power System Protection

Journals & Articles

Journals:

  • I. A. Adan, N. R. Rahat and N. K. Das, “Enhancing Renewable Energy Generation: Machine Learning Integration for Optimized Hydropower Operations and Greenhouse Gas Reduction”, Renewable Energy (Manuscript Number: RENE-D-24-08365) [Submitted]
  • I. A. Adan, N. R. Rahat and N. K. Das, “Enhancing Operational Efficiency and Sustainability at the Karnafuli Hydro Power Station Through Advanced Forecasting and Multi-Objective Optimization Techniques”, Energy (Manuscript Number: EGY-D-24-07964) [Submitted]

Conferences:

  • I. A. Adan, N. R. Rahat, A. S. M. Sayem, and N. K. Das, “Exploring Effective Control Methods for Water Hyacinth Management: Insights from the Karnaphuli Hydroelectric Plant Reservoir,” 2023 7th International Conference on Mechanical Engineering and Renewable Energy (ICMERE), Chattogram, Bangladesh, 2023.
  • I. A. Adan, Md. Abir Hossain, N. R. Rahat, and S. Mohammad Faisal Ahmed, “An overview on Plant Energy: Unleashing the Potential of Trees as Green Electricity Generators,” 2023 10th IEEE International Conference on Power Systems (ICPS). IEEE, Dec. 13, 2023. doi: 10.1109/icps60393.2023.10428832.