Staff Directory


Faridah Binti Abd. Rahman

Academic Qualification

  • Doctor of Philosophy in Electrical & Computer Engineering - Doctor of Philosophy, Universiti Teknologi Malaysia (UTM)
  • Master of Engineering - Masters Degree, Yamaguchi University
  • Bachelor of Engineering - Bachelor Degree, Yamaguchi University

Faridah Binti Abd. Rahman (Dr.)

Assistant Professor
IIUM Gombak Campus

KULLIYYAH OF ENGINEERING


faridah_ar@iium.edu.my
3412


Teaching Responsibilities


ELECTRIC CIRCUITS 2016/2017
ELECTRICAL ENGINEERING LAB 2020/2021 2019/2020 2018/2019 2017/2018
ELECTRICAL ENGINEERING LAB 1 2023/2024 2022/2023 2021/2022
ENGINEERING PROGRAMMING 2023/2024 2022/2023 2021/2022
FINAL YEAR PROJECT 1 2023/2024 2022/2023 2021/2022 2020/2021
FINAL YEAR PROJECT I 2023/2024 2020/2021 2018/2019
FINAL YEAR PROJECT II 2022/2023 2021/2022 2019/2020
FUNDAMENTALS OF ELECTRICAL AND ELECTRONIC 2021/2022
PROGRAMMING FOR ENGINEERS 2023/2024 2022/2023 2021/2022 2020/2021 2019/2020 2018/2019 2017/2018
PROJECT II 2018/2019


Supervision


Classification Of Stress Level Using Deep Learning Algorithm Based On Electroencephalograph (Eeg) Signal.
Ph.D In Progress Main Supervisor
Predictive Control Strategies Model In Islanded Microgrid With Renewable Energy Integration.
Ph.D In Progress Co-supervisor
Analyzing Pavement Layer Modulus From Spectral Analysis Surface Wave (Sasw) Results Using Artificial Neural Network (Ann).
Master Completed 2023 Co-supervisor
Design Of Inductive Pad Coupler In Dynamic Wireless Power Transfer For Electric Vehicle.
Master Completed 2019 Co-supervisor
An Enhanced Automatic Eye Blinks Removal For Single-Channel Electroencephalograph Using Adaptive Filter.
Master In Progress Main Supervisor
4d Radar Imaging For Target Detection And Classification Using Deep- Learning.
Master In Progress Co-supervisor
Development Of Rainfall Intensity - Duration Threshold Using Artificial Neural Network.
Master In Progress Co-supervisor


Research Projects


Completed
2019 - 2022 New Non-Invasive Technique via Physiological Signals and Intelligence Machine Learning for Rapid Classification of Stress Level
2017 - 2020 Modelling of band bending profile of indium adsorbed Si(111) Surface
On-Going
2022 - Present Antenna: How does it Work?
2019 - Present An Enhanced Automatic Eye Blinks Removal for Single-channel Electroencephalograph Using Adaptive Filter without Reference Electrode
2018 - Present Classification of Stress Level Using Deep Learning Algorithm Based on Electroencephalograph (EEG) Signals


Publications


Article

2022 Affirmation of elastic modulus derived from spectral analysis of surface waves method using artificial neural network. Jurnal Kejuruteraan, 34 (5) pp. 905-913
2022 Classification of rigid pavement at airport taxiway using shear wave velocity and Elastic Modulus derived from Spectral Analysis of Surface Waves (SASW) method. Journal of Failure Analysis and Prevention, () pp.
2022 EEG signal analysis for mental stress classification: a review. Journal of Theoretical and Applied Information Technology, 100 (20) pp. 6199-6214
2020 Investigation of magnetic properties for different coil sizes of dynamic wireless charging pads for electric vehicles (EV). IIUM Engineering Journal, 21 (1) pp. 23-32
2019 Automatic household waste separation system based on resistance value and moisture content. Bulletin of Electrical Engineering and Informatics, 8 (2) pp. 501-507
2019 Evaluating mobility management models for content forwarding in named data networking environments. International Journal of Interactive Mobile Technologies (iJIM), 13 (4) pp. 47-60
Conference or Workshop Item

2024 Performance comparison of a flexible circular microstrip patch antenna on various rubber-carbon compositions. In: 2023 IEEE INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION,
2022 Eye blink region detection in EEG using amplitude thresholding. In: 8th International Conference on Mechatronics Engineering (ICOM 2022),
2021 Development of Rubber Substrate for More Robust Flexible Wearable Antenna at 2.4 GHz Application. In: 2021 8th International Conference on Computer and Communication Engineering (ICCCE),
2021 Machine Learning-Based Stress Level Detection from EEG Signals. In: 2021 IEEE 7th International Conference on Smart Instrumentation, Measurement and Applications,
2021 Wireless power transfer system using series-series compensation topology. In: 2021 8th International Conference on Computer and Communication Engineering (ICCCE),
2018 Comparison on performance of adaptive algorithms for eye blinks removal in electroencephalogram. In: International Conference on Computer and Communication Engineering (ICCCE),
2018 Discrimination of residual and recyclable household waste for automatic waste separation system. In: 2018 7th International Conference on Computer and Communication Engineering (ICCCE),