Electrical & Electronic Engineering

Mr. Faisal Farhan

Designation: Lecturer Grade-I

Email: faisalfarhan.eee@aust.edu

Office Extension:

Room No: 9C Faculty Room

Personal Website: https://f-farhan.github.io/

Research Interests

• Machine Learning & Deep Learning
• Biomedical Imaging
• Signal Processing
• Biomedical Optics
• Image Processing

Educational Background

• Master of Science (MSc), (Erasmus Mundus in Medical Imaging and Applications), Université Bourgogne Europe (France), Università degli studi di Cassino e del Lazio Meridionale (Italy) , University of Girona (Spain)
• Bachelor of Science (BSc), (Electrical & Electronic Engineering), Ahsanullah University of Science & Technology

Honors and Achievements

• Treasurer, AUST Career Development Club, 2026
• Khan Bahadur Ahsanullah Padak (President Gold Medal), Ahsanullah University of Science and Technology, 2025
• Aquisis International Mobility Grant, Region Bourgogne Franche Comte, France, 2024
• Erasmus Mundus Joint Masters Degree Scholarship, European Union, 2023
• Dean’s List Award for Academic Excellence, Ahsanullah University of Science & Technology, 2021

Publications

1. Enhanced vascular perfusion mapping and heart rate estimation via spatio-temporal rPPG with optical and motion compensation techniques, Biomedical Physics & Engineering Express, 2026, IOP Science. URL
2. Revival of Muslin by Phuti Karpas plant identification with convolution neural network, Array, 2025, ScienceDirect. URL
3. Effect of Input Channel Reduction on EEG Seizure Detection, PRZEGLĄD ELEKTROTECHNICZNY, 2023. URL
4. High Accuracy Swin Transformers for Image-based Wafer Map Defect Detection, International Journal of Engineering and Manufacturing(IJEM), 2022, MECS Press. URL
5. Recent Advances in Computer-Aided Medical Diagnosis Using Machine Learning Algorithms with Optimization Techniques, IEEE Access, 2021, IEEE Access. URL
6. Electroencephalogram (EEG) brainwave signal-based emotion recognition using extreme gradient boosting algorithm, Annals of Engineering, 2020. URL

1. ANN based approach to predict criminal trends in Bangladesh, 2022, IEEE. URL
2. A Performance Evaluation of Machine Learning Models on Human Activity Identification (HAI), International Conference on Soft Computing and Pattern Recognition, 2021, Springer International Publishing. URL