Personal Info
Md. Faysal Ahamed
Lecturer
Department of Computer Science & Engineering
Contact Info
Email: faysal@isu.ac.bd
Telephone:
Md. Faysal Ahamed, a diligent researcher from Bangladesh, has demonstrated an unrelenting dedication to education and creativity throughout his academic and professional career. He graduated from Rajshahi University of Engineering and Technology (RUET) with a Bachelor of Science degree in Electrical and Computer Engineering (ECE) with a CGPA of 3.85 out of 4.00 and was awarded as Student of The Year 2022. He is now studying for a Master of Science in Computer Science and Engineering at RUET. He is currently a lecturer in the Department of Computer Science and Engineering (CSE) at International Standard University (ISU) since March 01, 2023. Currently, I am developing a computer-aided diagnosis system. These technologies leverage computer systems and innovative machine learning and deep learning models to analyze medical images. I have published five research papers in respected IEEE conferences and Springer. My research interest is in medical image segmentation, natural language processing, and machine learning. He has also worked with well-known foreign research institute at the Machine Learning Lab at Qatar University, especially on how artificial intelligence can be used in real-life situations on clinical world.
Research Experience:
- Collaboration (Ongoing) with Assistant Professor Dr. Muhammad E. H. Chowdhury of “Qatar National Library” at Qatar University, Qatar- from 01 January, 2023.
- Collaboration (Ongoing) with Associate Professor Dr. Norah Saleh Alghamdi of “Researchers Supporting Project number (PNURSP2023R40)” at Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia- from 04 February 2023.
- Collaboration (Ongoing) with Associate Professor Dr. S. M. Riazul Islam of “SCNU Joint Institute of AI and Data Science” at University of Aberdeen, Aberdeen, UK- from 05 April, 2023.
- Collaboration (Ongoing) with Associate Professor Dr. Julfikar Haider at Manchester Metropolitan University- from 21 May, 2023.
Peer-reviewed Publications:
- M. F. Ahamed, M. K. Syfullah, O. Sarkar, M. T. Islam, M. Nahiduzzaman, M. R. Islam, A. Khandakar, M. A. Ayari, and M. E. H. Chowdhury, "IRv2-Net: A Deep Learning Framework for Enhanced Polyp Segmentation Performance Integrating InceptionResNetV2 and UNet Architecture with Test Time Augmentation Techniques", Sensors 2023, 23(18), 7724, MDPI | IF: 3.9, Q1 | DOI: https://doi.org/10.3390/s23187724
- O. Sarkar, M. R. Islam, M. K. Syfullah, M. T. Islam, M. F. Ahamed, M. Ahsan, and J. Haider, “Multi-Scale CNN: An Explainable AI-Integrated Unique Deep Learning Framework for Lung-Affected Disease Classification”- Technologies 2023, 11(5), 134, MDPI | IF: 3.6, Q1 | DOI: https://doi.org/10.3390/technologies11050134
- M. F. Ahamed, M. R. Islam, T. Hossain, K. Syfullah, and O. Sarkar, “Classification and Segmentation on Multi-regional Brain Tumors Using Volumetric Images of MRI with Customized 3D U-Net Framework,” Proceedings of International Conference on Information and Communication Technology for Development. Studies in Autonomic, Data-driven and Industrial Computing. Springer, Singapore, pp. 223–234, 2023. DOI: https://doi.org/10.1007/978-981-19-7528-8_18
- M. F. Ahamed, O. Sarkar, and A. Matin, “Instance Segmentation of Visible Cloud Images Based on Mask R-CNN Applying Transfer Learning Approach”, 2020 2nd International Conference on Advanced Information and Communication Technology (ICAICT), Dhaka, Bangladesh, 2020, pp. 257-262, doi:10.1109/ICAICT51780.2020.9333531
- O. Sarkar, M. F. Ahamed, and P. Chowdhury, “Forecasting & Severity Analysis of COVID-19 Using Machine Learning Approach with Advanced Data Visualization”, 23rd International Conference on Computer and Information Technology (ICCIT), Dhaka, Bangladesh, 2020, pp. 1-6, doi:10.1109/ICCIT51783.2020.9392704
- O. Sarkar, M. F. Ahamed, T. T. Khan, M. K. Ghosh, and M. R. Islam, "An Experimental Framework of Bangla Text Classification for Analyzing Sentiment Applying CNN & BiLSTM", 2021 2nd International Conference for Emerging Technology (INCET), Belagavi, India, 2021, pp. 1-6, doi:10.1109/INCET51464.2021.9456393
- P. Chowdhury, E. M. Eumi, O. Sarkar, M. F. Ahamed, “Bangla News Classification Using GloVe Vectorization, LSTM, and CNN”, Proceedings of the International Conference on Big Data, IoT, and Machine Learning. Lecture Notes on Data Engineering and Communications Technologies, vol 95. Springer, Singapore, 2021. DOI: https://doi.org/10.1007/978-981-16-6636-0_54
- M. F. Ahamed, M. Nahiduzzaman, M. R. Islam, T. Rahman, K. R. Islam, A. B. Altyeb, and M. E. H. Chowdhury, “Interpretable Deep Learning Model for Tuberculosis Detection Technique using X-ray Images”, Proceedings of Surveillance, prevention, and control of infectious diseases: An AI perspective –Springer | (Accepted) | 2023
- T. T. Khan, A. Hassan, M. F. Ahamed, and S. Islam, “Multi-label Bengali Abusive Comments Classification using Problem Transformation Method”, 20th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE). Mexico City, Mexico, 2023. (Accepted)
Under review:
- M. F. Ahamed, M. M. Hossain, M. Nahiduzzaman, M. R. Islam, M. Ahsan, and J. Haider, “A Review on Brain Tumor Segmentation Based on Deep Learning Methods with Federated Learning Techniques” - Computerized Medical Imaging and Graphics, Elsevier | IF: 5.7, Q1 | (Under Review) | 2023
- M. F. Ahamed, M. Nahiduzzaman, A. Ayari, A. Khandarkar, and S. M. R. Islam, “Malaria Parasite Classification from RBC Smears Using Lightweight Parallel Depthwise Separable CNN and Ridge Regression ELM by Integrating SHAP Techniques” - Cognitive Computation, Springer | IF: 5.4, Q1 | (Under Review) | 2023 | Preprint: https://doi.org/10.21203/rs.3.rs-3358084/v1
- M. Nahiduzzaman, M. F. Ahamed, N. S. Alghamdi, and S. M. R. Islam, “SHAP-Guided Gastrointestinal Disease Classification with Lightweight Parallel Depthwise Separable CNN and Ridge Regression ELM”- Expert Systems with Applications, Elsevier | IF: 8.5, Q1 | (Under Review) | 2023 | Preprint: https://dx.doi.org/10.2139/ssrn.4572243
- M. M. Hossain, M. F. Ahamed, M. R. Islam, M. Nahiduzzaman, M. Ahsan, and J. Haider, “Object Detection using Machine Learning: A Comprehensive Review of Techniques and Applications”- Computers and Electrical Engineering, Elsevier | IF: 4.3, Q1 | (Under Review) | 2023
- M. M. Hossain, M. F. Ahamed, M. R. Islam, M. Nahiduzzaman, M. Ahsan, and J. Haider, “Object Detection using Machine Learning: A Comprehensive Review of Techniques and Applications”- Computers and Electrical Engineering, Elsevier | IF: 4.3, Q1 | (Under Review) | 2023
- M. F. Ahamed, A. Salam, M. Nahiduzzaman, M. Ahsan, M. A. A. Wadud, and S. M. R. Islam, “Streamlining Plant Disease Diagnosis with Convolutional Neural Networks and Edge Devices”,- Computers and Electronics in Agriculture, , Elsevier | IF: 8.3, Q1 | (Under Review) | 2023
- M. F. Ahamed, M. R. Islam, M. Nahiduzzaman, M. E. H. Chowdhury, A. Alqahtani, and M. Murugappan, “Automated Colorectal Polyps Detection from Endoscopic Images using MultiResUNet Framework with Attention Guided Segmentation”, Human-Centric Intelligent Systems, Springer | (Under Review) | 2023
- M. M. Hossain, M. F. Ahamed, M. R. Islam “Privacy Preserving Federated Learning for Lung Cancer Classification”, 26th International Conference on Computer and Information Technology (ICCIT), Dhaka, Bangladesh, IEEE, 2023. (Under Review) | 2023
- Most Popular Award - IEEE YESIST12 Maker Fair Track, Thailand
IoT-based Monitoring Car Robot for Disaster Management
Issuing Organization: IEEE REGION10, 7 September 2020 - Student of the Year Award for excellent B. Sc. academic performance, 2022
- Merit position 2nd in Department of ECE, RUET, 2022
- Excellent Research Award, 2022
- Technical Scholarship in B.Sc. Engineering from RUET 2017-2022
- B.Sc. in Electrical & Computer Engineering (ECE), Rajshahi University of Engineering & Technology, 2022
- Industrial training at “MonstarLab Bangladesh”, 2023 - ongoing
- Institutional Quality Assurance Cell (IQAC) workshop - ISU, 27 Aug, 2023
- Outcome Based Education (OBE) Curriculum training - ISU, 28 Aug, 2023
- Structured Programming
- Structured Programming Lab
- Data Structures
- Algorithms
- Discrete Mathematics
- Operating Systems
- Operating Systems Lab,
- Machine Learning
- Deep Learning
- Medical Image Processing
- Natural Language Processing
- Segmentation
