Md Rayhan Ahmed

About Me

Hi, I'm Md Rayhan Ahmed, a Ph.D. researcher at the University of British Columbia, Canada. My passion lies at the intersection of deep learning and healthcare innovation. I specialize in biomedical image analysis, speech emotion recognition, and intelligent optimization techniques. With a strong focus on interpretable machine learning, feature consistency, and healthcare data modeling, my research aims to make AI smarter, more transparent, and impactful in real-world clinical settings.

Education

• Ph.D. in Computer Science, University of British Columbia, BC, Canada (2023 - Present)
• M.Sc. in Computer Science and Engineering, United International University (2018 - 2020) - Dhaka, Bangladesh
• B.Sc. in Computer Science and Engineering, Ahsanullah University of Science and Technology (2010 - 2014) - Dhaka, Bangladesh

Publications

International Journals

• Md Rayhan Ahmed, Mohamed Shehata, Patricia Lasserre, “Integrating Lightweight Convolutional Neural Network with Entropy-Informed Channel Attention and Adaptive Spatial Attention for OCT-Based Retinal Disease Classification” – Computers in Biology and Medicine, Elsevier, Q1, Impact Factor: 7.0, Vo. 190, May 2025, 110071. [Link]
• Md Rayhan Ahmed, Patricia Lasserre, “FusionSegNet: A Hierarchical Multi-Axis Attention and Gated Feature Fusion Network for Breast Lesion Segmentation with Uncertainty Modeling in Ultrasound Imaging” – Information Fusion, Elsevier, Q1, Impact Factor: 14.2, Under Revision.
• Md Rayhan Ahmed, Patricia Lasserre, “A Context-Aware Multi-Stream Attentive Convolutional Neural Network for Surface Defect Segmentation” – Information Sciences, Elsevier, Q1, Impact Factor: 8.1, Under Revision.
• M Jishanul Islam, Sahid Hossain Mustakim, Musfirat Hossain, Mysun Mashira, Nur Islam Shourav, Md. Rayhan Ahmed, Salekul Islam, Swakkhar Shatabda, A.K.M. Muzahidul Islam, “An Audio-Video-Based Multi-Modal Fusion Approach for Emotion Recognition” – Knowledge Based Systems, Elsevier, Q1, Impact Factor: 7.2, Under Revision.
• Niful Islam, Md Rayhan Ahmed, Nur Mohammad Fahad, A.K.M. Muzahidul Islam, Salekul Islam, Saddam Hossain Mukta, Swakkhar Shatabda, “Remote Sensing Image Classification Using Deep Ensemble Learning” – IEEE Open Journal of the Computer Society, Q1, Impact Factor: 5.7, Under Revision.
• Al Mohimanul Islam, Sadia Shakiba Bhuiyan, Mysun Mashira, Md. Rayhan Ahmed, Salekul Islam, Swakkhar Shatabda, “Polyp Segmentation in Colonoscopy Images Using DeepLabV3++” – Computers in Biology and Medicine, Elsevier, Q1, Impact Factor: 7.0, 2024, Under Revision. [Link]
• Nishat Tasnim Niloy, Md. Rayhan Ahmed, Sinthia Sarkar Ananna, Sanjida Kater, Iffat Jahan Shorna, Sadika Islam Sneha, Md. Hasanul Ferdaus, Mohammad Manzurul Islam, Mohammad Rifat Ahmmad Rashid, Taskeed Jabid, Md. Sawkat Ali, “CottonFabricImageBD: An Image Dataset Characterized by the Percentage of Cotton in a Fabric for Computer Vision-Based Garment Recycling” – Data in Brief, Elsevier, Q3, Impact Factor: 1.0, 2024. [Link]
• Al Mohimanul Islam, Fatiha Binta Masud, Md. Rayhan Ahmed, Anam Ibn Jafar, Jeath Rahmat Ullah, Salekul Islam, Swakkhar Shatabda, A.K.M. Muzahidul Islam, “An Attention Guided Deep Learning Based Network with Bayesian Optimization for Wild-fire Classification and Localization” – Forests, MDPI, Q1, Impact Factor: 3.0, 2024. [Link]
• Saiful Islam†, Md. Rayhan Ahmed†, Siful Islam, Md. Mahfuzul Alam Rishad, Sayem Ahmed, Toyabur Rahman Utshow, Minhajul Islam Siam [† Co-First Author], “BDMediLeaves: A Leaf Images Dataset for Bangladeshi Medicinal Plants Identification” – Data in Brief, Elsevier, Q2, Impact Factor: 3.0, 2023. [Link]
• Niloy Kumar Kundu, Sarah Kobir, Md. Rayhan Ahmed, Tahmina Aktar, Niloya Roy, “Enhanced Speech Emotion Recognition with Efficient Channel Attention Guided Deep CNN-BiLSTM Framework” – Arxiv, Preprint, 2023. [Link]
• Md. Rayhan Ahmed, Adnan Ferdous Ashrafi, Raihan Uddin Ahmed, Swakkhar Shatabda, A.K.M. Muzahidul Islam, Salekul Islam, “DoubleU-NetPlus: A Novel Attention and Context Guided Dual U-Net with Multi-Scale Residual Feature Fusion Network for Semantic Segmentation of Medical Images” – Neural Computing and Applications, Elsevier, Q1, Impact Factor: 5.5, 2023. [Link]
• Md. Rayhan Ahmed, Md. Asif Iqbal Fahim, A.K.M. Muzahidul Islam, Salekul Islam, Swakkhar Shatabda, “DOLG-Next: Deep Orthogonal Fusion of Local and Global Features with ConvNext for Biomedical Image Segmentation” – Neurocomputing, Elsevier, Q1, Impact Factor: 6.0, 2023. [Link]
• Md. Rayhan Ahmed, Salekul Islam, A.K.M. Islam, Swakkhar Shatabda, “An Ensemble 1D-CNN-LSTM-GRU Model with Data Augmentation for Speech Emotion Recognition” – Expert Systems with Applications, Elsevier, Q1, Impact Factor: 8.665, 2023. [Link]
• Md. Rayhan Ahmed, A.K.M. Muzahidul Islam, Swakkhar Shatabda, Salekul Islam, "Blockchain-Based Identity Management System and Self-Sovereign Identity Ecosystem: A Comprehensive Survey” – IEEE Access, IEEE, Q1, Impact Factor: 3.336, 2022. [Link]
• Rakesh Kumar Das, Nahidul Islam, Md. Rayhan Ahmed, Salekul Islam, Swakkhar Shatabda, A.K.M. Muzahidul Islam, “BanglaSER: A Speech Emotion Recognition Dataset for the Bangla Language” – Data in Brief, Elsevier, Q2, Impact Factor: 1.2, 2022. [Link]
• Md. Rayhan Ahmed, Salekul Islam, Swakkhar Shatabda, A.K.M. Muzahidul Islam, Md. Towhidul Islam Robin, “Intrusion Detection System in Software-Defined Networks Using Machine Learning and Deep Learning Techniques – A Comprehensive Survey" – TechRxiv, Preprint, 2022. [Link]
• Md. Rayhan Ahmed, “Leveraging Convolutional Neural Network and Transfer Learning for Cotton Plant and Leaf Disease Recognition” – International Journal of Image, Graphics and Signal Processing, MECS Press, Q3, 2022. [Link]
• Md. Rayhan Ahmed, Md. Towhidul Islam Robin, Ashfaq Ali Shafin, “Automatic Environmental Sound Recognition (AESR) Using Convolutional Neural Network” – International Journal of Modern Education and Computer Science, Vol. 12, pp. 41-54, 2020. (Q2, Scopus indexed).
• Md. Rayhan Ahmed, Ashfaq Ali Shafin, “Statistical and Machine Learning Analysis of Impact of Population and Gender Effect in GDP of Bangladesh: A Case Study” – International Journal of Information Technology and Computer Science (IJITCS), Vol. 12, No. 1, pp. 24-33, 2020.
• Md. Mohsin, Md. Rayhan Ahmed, Tanveer Ahmed, “Closed Frequent Pattern Mining Using Vertical Data Format: Depth First Approach” – IJSRSET, Vol. 2, Issue 3, pp. 230-238, 2016.

International Conferences

• Md. Enamul Haque, Alok Das, Mohammad Nurul Huda, Md Rayhan Ahmed, “Nile Tilapia Pathogens Detection Using CNN Model Infused with Efficient Channel Attention Mechanism” – The 5th International Conference on Electrical, Computer and Energy Technologies, 2025, IEEE Xplore.
• Niful Islam, Humaira Noor, Md. Rayhan Ahmed, “Enhancing Garbage Classification with Swin Transformer and Attention-Based Autoencoder: An Efficient Approach for Waste Management” – 17th ICITA 2023, Lecture Notes in Network Systems Series, Springer.
• Sadman Sakib, Arefin Ittesafun Abian, Most. Marufatul Jannat Mim, Ripon Kumar Debnath, Azizul Hakim Zen, Md. Rayhan Ahmed, “BCNet-11: A Dilated Convolutional Neural Network for Breast Cancer Classification Using Histopathology Images” – International Conference on Big Data, IoT and Machine Learning, 2023, Taylor and Francis Book Series
• Al Mohimanul Islam, Fatiha Binta Masud, Md. Rayhan Ahmed, Salekul Islam, “MSFFAR-Net: A Multi-Scale Feature Fusion and Attention-Guided Residual Network for Bangladeshi Medicinal Plants Classification” – 26th International Conference on Computer and Information Technology (ICCIT) 2023, IEEE Xplore.
• Md. Enamul Haque, Md. Rayhan Ahmed, Razia Sultana Nila, Salekul Islam, “Human Monkeypox Disease Detection Using Deep Learning Models and Attention Mechanisms” – 25th International Conference on Computer and Information Technology (ICCIT) 2022, IEEE Xplore. [Best Presenter Award]
• Md. Rayhan Ahmed, Adnan Ferdous Ashrafi, Raihan Uddin Ahmed, Tanveer Ahmed, “MCFFA-Net: Multi-Contextual Feature Fusion and Attention Guided Network for Apple Foliar Disease Classification” – 25th International Conference on Computer and Information Technology (ICCIT) 2022, IEEE Xplore. [Best Presenter Award]
• Saleheen Siddique, Umma Hani Mim, Eyamin Bin Aman, Md. Rayhan Ahmed, “3:3:2 – A Sustainable Urban Development Model: Transforming Dhaka into a Sustainable Mega-City” – 5th UIU-ICSD Conference Proceedings, 2022.

Experience

• Graduate Research Assistant (GRA), University of British Columbia (2023 - Present)
• Graduate Teaching Assistant (GTA), University of British Columbia (2023 - Present)
• Assistant Professor, United International University, Dhaka, Bangladesh (2021 - 2023, On study leave)
• Senior Lecturer, Stamford University Bangladesh, Dhaka, Bangladesh (2015 - 2021)
• Adjunct Faculty, East West University (2023), Independent University Bangladesh (2023), Ahsanullah University of Science and Technology, Dhaka, Bangladesh(2016 - 2020)

Online Course-Based Certifications

• “Introduction to TensorFlow for Artificial Intelligence, Machine, and Deep Learning” – Coursera
• “Convolutional Neural Networks in TensorFlow” – Coursera
• “Natural Language Processing in TensorFlow” – Coursera
• “Sequences, Time Series and Prediction” – Coursera
• “Neural Networks and Deep Learning” – Coursera
• “Improving Deep Neural Networks: Hyperparameter Tuning, Regularization, and Optimization” – Coursera
• “Structuring Machine Learning Projects” – Coursera
• “Convolutional Neural Networks” – Coursera
• “Sequence Models” – Coursera
• “Introduction to Data Science” – Coursera
• “Applied Plotting, Charting, and Data Representation in Python” – Coursera
• “Applied Machine Learning in Python” – Coursera
• “NDG Linux Essentials” – Cisco Networking Academy
• “Introduction to Cybersecurity” – Cisco Networking Academy

Contact

Email: md.ahmed@ubc.ca

Google Scholar: Scholar Profile