Md. Farhadul Islam graduated from BRAC University with a BSc in Computer Science. He is currently appointed as a Graduate Research Assistant at the Dept. of CSE, BRAC University under the supervision of Dr. Jannatun Noor. Mr. Islam is currently involved in research on Resource Efficiency and Reliability in Deep Learning, focusing on the fields of Medical Imaging, Agriculture, Computer Vision, and Natural Language Processing. Currently, he has peer-reviewed publications in journals, conferences, and workshops such as Nature Scientific Reports, WACV, ACMSE, SoutheastCon, S+SSPR, COMPASS, ICMV, etc. His main research interests are Deep Learning, Medical Image Analysis, Computer Vision, and Sustainable Computing. He also actively reviews in various journals and conferences. In addition to research activities, he is a part-time data science instructor at HerWILL where he conducts project-based lectures on data science and machine learning.

Check updates in Google Scholar: https://scholar.google.com/citations?user=4a4covIAAAAJ&hl

ORCID: 0000-0003-3249-4490

Journal Articles:

1. Islam, Md. F., Reza, Md. T., Manab, M. A., Zabeen, S., Islam, Md. F. U., Shahriar, Md. F., Kaykobad, M., & Noor, J. (2024). Involution-based Efficient Autoencoder for Denoising Histopathological Images with Enhanced Hybrid Feature Extraction. [Elsevier Computers in Biology and Medicine, Q1, IF: 7.0, Minor Revision]
2. Islam, Md. F., Manab, M. A., Mondal, J. J., Zabeen, S., Rahman, F. B., Hasan, Md. Z., Sadeque, F., & Noor, J. (2025). Involution fused convolution for classifying eye-tracking patterns of children with Autism Spectrum Disorder. Engineering Applications with Artificial Intelligence. https://doi.org/10.1016/j.engappai.2024.109475. [Q1, IF: 7.5]
3. Mondal, J. J., Islam, Md. F., Islam, R., Rhidi, N. K., Newaz, S., Islam, A. B. M. A. A., Manab, M. A., & Noor, J. (2024). Uncovering local aggregated air quality index with smartphone captured images leveraging efficient deep convolutional neural network. Scientific Reports. https://doi.org/10.1038/s41598-023-51015-1. [Q1, IF: 3.8]

Conference or Workshop Papers:

1. Ahmed, T., Jannat, S., Rahat, A., Mou, J. A., Islam, Md. F., & Noor, J. (2024). Knowledge Distillation and Weight Pruning for Two-step Compression of ConvNets in Rice Leaf Disease Classification. Proceedings of the 11th International Conference on Networking, Systems and Security. [Accepted for Publication]
2. Nasim, H., Printia, F. J., Himel, M. H., Rashid, R., Chowdhury, I. J., Mondal, J. J., Islam, Md. F & Noor, J. (2024). Fog-Resilient Bangla Car Plate Recognition using Dark Channel Prior and YOLO, Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) Workshops. [ERA A,  CORE A]
3. Zabeen, S., Hasan A., Islam, Md. F, Sabbir Hossain, M., & Rasel, A. A. (2023). Robust Fake Review Detection Using Uncertainty-Aware LSTM and BERT, 2023 15th International Conference on Computational Intelligence and Communication Networks (CICN). 786-791, https://doi.org/10.1109/CICN59264.2023.10402342.
4. Chy, Md. S. R., Mahin, M. R. H., Islam, Md. F., Hossain, M. S., & Rasel, A. A. (2023). Classifying Corn Leaf Diseases Using Ensemble Learning with Dropout and Stochastic Depth Based Convolutional Networks. Proceedings of the 2023 8th International Conference on Machine Learning Technologies, 185–189. https://doi.org/10.1145/3589883.3589911
5. Anwar, Md. T., Islam, Md. F., & Alam, Md. G. R. (2023). Forecasting Meteorological Solar Irradiation Using Machine Learning and N-BEATS Architecture. Proceedings of the 2023 8th International Conference on Machine Learning Technologies, 46–53. https://doi.org/10.1145/3589883.3589890
6. Islam, Md. F., Zabeen, S., Islam, Md. A., Rahman, F. B., Ahmed, A., Karim, D. Z., Rasel, A. A., & Manab, M. A. (2023). How certain are transformers in image classification: uncertainty analysis with Monte Carlo dropout. In W. Osten, D. P. Nikolaev, & J. (Jessica) Zhou (Eds.), Fifteenth International Conference on Machine Vision (ICMV 2022) (Vol. 12701, p. 127010K). SPIE. https://doi.org/10.1117/12.2679442
7. Islam, Md. F., Zabeen, S., Rahman, F. B., Islam, Md. A., Kibria, F. B., Manab, M. A., Karim, D. Z., & Rasel, A. A. (2023). Exploring Node Classification Uncertainty in Graph Neural Networks. Proceedings of the 2023 ACM Southeast Conference, 186–190. https://doi.org/10.1145/3564746.3587019
8. Islam, Md. F., Zabeen, S., Rahman, F. B., Islam, Md. A., Kibria, F. B., Manab, M. A., Karim, D. Z., & Rasel, A. A. (2023). UnIC-Net: Uncertainty Aware Involution-Convolution Hybrid Network for Two-level Disease Identification. SoutheastCon 2023, 305–312. https://doi.org/10.1109/SoutheastCon51012.2023.10115109
9. Rhythm, E. R., Shuvo, R. A., Hossain, M. S., Islam, Md. F., & Rasel, A. A. (2023). Sentiment Analysis of Restaurant Reviews from Bangladeshi Food Delivery Apps. 2023 International Conference on Emerging Smart Computing and Informatics (ESCI), 1–5. https://doi.org/10.1109/ESCI56872.2023.10100214
10. Mumenin, N., Islam, Md. F., Chowdhury, Md. R. Z., & Yousuf, M. A. (2023). Diagnosis of Autism Spectrum Disorder Through Eye Movement Tracking Using Deep Learning. In M. Ahmad, M. S. Uddin, & Y. M. Jang (Eds.), Proceedings of International Conference on Information and Communication Technology for Development (pp. 251–262). Springer Nature Singapore.
11. Islam, Md. F., Bin Rahman, F., Zabeen, S., Islam, Md. A., Sabbir Hossain, M., Kabir Mehedi, M. H., Manab, M. A., & Rasel, A. A. (2022). RNN Variants vs Transformer Variants: Uncertainty in Text Classification with Monte Carlo Dropout. 2022 25th International Conference on Computer and Information Technology (ICCIT), 7–12. https://doi.org/10.1109/ICCIT57492.2022.10055922
12. Islam, Md. F., Zabeen, S., Rahman, M. M., Khan, M. H., Khan, F. N., Nahim, N. Z., Anwar, T., & Kaykobad, M. (2022). Identifying Hurricane Damage using Explainable Compact Transformer with Convolutional Embedding. 2022 25th International Conference on Computer and Information Technology (ICCIT), 833–838. https://doi.org/10.1109/ICCIT57492.2022.10054917
13. Mondal, J. J., Islam, Md. F., Zabeen, S., & Manab, M. A. (2022). InvoPotNet: Detecting Pothole from Images through Leveraging Lightweight Involutional Neural Network. 2022 25th International Conference on Computer and Information Technology (ICCIT), 599–604. https://doi.org/10.1109/ICCIT57492.2022.10055818
14. Islam, Md. F., Zabeen, S., Mehedi, Md. H. K., Iqbal, S., & Rasel, A. A. (2022). Monte Carlo Dropout for Uncertainty Analysis and ECG Trace Image Classification. In A. Krzyzak, C. Y. Suen, A. Torsello, & N. Nobile (Eds.), Structural, Syntactic, and Statistical Pattern Recognition (pp. 173–182). Springer International Publishing. [ERA A,  CORE B]
15. Mondal, J. J., Islam, Md. F., Zabeen, S., Islam, A. B. M. A. A., & Noor, J. (2022). Note: Plant Leaf Disease Network (PLeaD-Net): Identifying Plant Leaf Diseases through Leveraging Limited-Resource Deep Convolutional Neural Network. Proceedings of the 5th ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies, 668–673. https://doi.org/10.1145/3530190.3534844 

Preprints/Under Review:

1. Islam, Md. F., Reza, Md. T., Manab, M. A., Mahin, M. R. H., Zabeen, S., & Noor, J. (2024). Spatially Optimized Compact Deep Metric Learning Model for Similarity Search. arXiv preprint. https://doi.org/10.48550/arXiv.2404.06593. [Submitted to Elsevier Engineering Applications with Artificial Intelligence, Q1, Under Review]
2. Islam, Md. F., Zabeen, S., Manab, M.A., Mahin, M.R.H., Mondal, J.J., Reza, M.T., Hasan, M.Z., Haque, M., Sadeque, F. and Noor, J. (2024). Med-IC: Fusing a Single Layer Involution with Convolutions for Enhanced Medical Image Classification and Segmentation. arXiv preprint arXiv:2409.18506. [Submitted to Results in Engineering, Q1]

Undergraduate Thesis:

1. Islam, Md. F., Zabeen, S., Rahman, F. B., Islam, Md. A., Kibria, F. B. (2023). Analysis of Uncertainty in Different Neural Network Structures using Monte Carlo Dropout. BRAC University. https://dspace.bracu.ac.bd/xmlui/handle/10361/22153 . (Supervisor: Annajiat Alim Rasel, Co-supervisors: Dewan Ziaul Karim & Meem Arafat Manab.)

Research Posters:

1. Nasim, H., Printia, F. J., Himel, M. H., Rashid, R., Chowdhury, I. J., Islam, Md. F & Noor, J. (2023). Fog-Resilient Bangla Car Plate Recognition using Dark Channel Prior and YOLO. 10th International Conference on Networking, Systems and Security. https://doi.org/10.13140/RG.2.2.10681.13925.
2. Mondal, J. J., Islam, Md. F., Islam, R., Rhidi, N. K., Manab, M. A., Islam, A. B. M. A. A & Noor, J. (2022). Unmasking the Invisible: Finding Location-Specific Aggregated Air Quality Index with Smartphone Images. 9th International Conference on Networking, Systems and Security. https://doi.org/10.13140/RG.2.2.12552.08968.
3. Mondal, J. J., Islam, Md. F., Zabeen, S., Islam, A. B. M. A. A., & Noor, J. (2021). Identification of Plant Leaf Diseases using Deep Convolutional Neural Network with Less Computational Power. 8th International Conference on Networking, Systems and Security. https://doi.org/10.13140/RG.2.2.17702.04168. 

Employed Positions:

• Graduate Research Assistant, Dept. of CSE, BRAC University. (Aug 2023 - Present)
• Data Science Instructor, HerWILL - Women Inspired in Life and Leadership. (Sept 2024 - Present)
• Undergraduate Teaching Assistant, OSUN Science Shop, BRAC University. (Jan 2023 - May 2023)
• Student Tutor, Dept. of CSE, BRAC University. (Jun 2022 - May 2023)
• Student Tutor, Dept. of MNS, BRAC University. (Feb 2022 - May 2022)

Volunteer Positions:

• Undergraduate Research Assistant, Dept. of CSE, BRAC University. (Mar 2021 - May 2023)
• Secretary of Research and Project Management, Robotics Club of BRAC University (ROBU), BRAC University. (Oct 2019 - Oct 2022)
• Senior Executive of Finance, BRAC University Computer Club (BUCC), BRAC University. (Oct 2019 - Jan 2021)

• Travel and Accommodation Grant Fellowship, at First Annual Elkana Symposium on Reimagining Teaching and Learning

Travel and accommodation grant for research abstract presentation at Vienna, Austria. Research Abstract Title: Adversarial Attack against A.I. for Pedagogical Purposes: Designing Prompts for Students and not ChatGPT. Amount: 1950 Euros.

• Runner-Up Award: Research Poster, The 2022 9th International Conference on Networking, Systems and Security (9th NSysS 2022)

Poster: Unmasking the Invisible: Finding Location-Specific Aggregated Air Quality Index with Smartphone Images.

• Presenter/Participation Grant, at ACM COMPASS 2022

Awarded for presenting our paper titled "Note: Plant Leaf Disease Network (PLeaD-Net): Identifying Plant Leaf Diseases through Leveraging Limited-Resource Deep Convolutional Neural Network".

• Graduated with “Highest Distinction”

• Vice Chancellor’s Honor List 3 Times and Dean’s Honor List 3 Times for decent academic performance.

• Winner: Skill Showcasing, R@D!X (Radix) by BRAC University Computer Club

• 3rd Place: Project Showcasing, IEEE Project Tech Tussle 2021 sponsored by Global Brand

• Top 10: Idea Presentation, Idea Competition - BUP MindExperia

• ACM Journal on Computing and Sustainable Societies (ACM JCSS)
• ICCV 2023 Workshop on Resource Efficient Deep Learning for Computer Vision (RCV 2023)
• WACV 2024 Workshop on Vision-Based Understanding for Low-Resource Languages (WVLL 2024)
• IEEE International Joint Conference on Neural Networks (IJCNN 2024)
• The 27th ACM Conference on Computer-Supported Cooperative Work and Social Computing (CSCW 2024)
• Asia-Pacific Conference on Computer Science and Data Engineering 2023 (CSDE 2023)
• International Conference on Networks, Communication and Information Technology (NCIT 2022)
• International Journal of Computing and Digital Systems (IJCDS)
• Taylor & Francis - Cogent Engineering