Fahmida Brishti
Lecturer
Fahmida Brishti is a Lecturer in the Department of Electrical and Electronic Engineering at Prime University, Dhaka. She is currently pursuing her M.Sc. in Electrical and Electronic Engineering at Khulna University of Engineering & Technology (KUET). She completed her B.Sc. in EEE from Gopalganj Science and Technology University.
Her research interests include microgrid control, renewable energy integration, and the application of machine learning in engineering problems. She has research experience in power system modeling and machine learning-based prediction systems.
In addition to teaching courses such as Control Systems, Digital Signal Processing, and Power Electronics, she actively contributes to academic program coordination, laboratory management, and engineering accreditation activities. She is passionate about advancing sustainable energy systems and intelligent control techniques for modern power networks.
- M.Sc. Engg. in Electrical & Electronic Engineering (On going), Khulna University of Engineering & Technology
- B.Sc. Engg. in Electrical & Electronic Engineering, Gopalganj Science and Technology University
- Machine Learning
- Audio and Video Processing
- Deep Learning
- Microgrid control
- Renewable Energy Integration
- Lecturer, Department of EEE, Prime University - Fulltime (3rd August 2023 to Present)
- Lecturer, Department of EEE, North Western University - Adjunct (1st July 2023 - 1st August 2023)
- Control System Engineering
- Digital Signal Processing
- High Voltage Engineering
- Power System Analysis
VLSI Circuits
Electromagnetic Fields
Communication Engineering
1. “Design and Analysis of an Electrical Protection System in Perspective of Bangladesh” funded by Centre for Research, HRD and Publications (CRHP), Prime University
1. Controlling of Conveyer Belt, Fire Detector System and Star-Dalta Starter using PLC and HMI - [Md. Mushfiqur Rahman (0282210005131048), Al-Amin (0282210005131061), Md. Nazmul Hasan (212030301017)]
- Chairman award From EEE Department.
- Government Merit scholarship in university.
- Programming: Python, C
- Engineering Tools: MATLAB, Simulink, Jupyter Notebook
- Software: MS Office (Word, Excel, PowerPoint)