Author

Md. Shahid Ahammed Shakil

Observed name: Md. Shahid Ahammed

Institutions: Rajshahi University of Engineering and Technology, Varendra University

Observed institutions: Rajshahi University of Engineering and Technology, Pabna University of Science and Technology, Varendra University

ORCID: 0009-0004-9610-9867

Observed ORCID: 0009-0004-9610-9867

OpenAlex ID: A5084804881

Bangla Speech Emotion Recognition Using Deep Learning-Based Ensemble Learning and Feature Fusion

2025 · Md. Shahid Ahammed Shakil, Fahmid Al Farid, et al. · Journal of Imaging · 5

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MRI-Based Identification of Brain Tumors Using Deep Convolutional Neural Networks: A Case Study on Inception V3

2025 · Puja Shaha, Md. Musfiqur Rahman Mridha, et al. · International Conference on Electrical, Computer and Communication Engineering · 3

An automated tuberculosis detection approach using deep learning and machine learning techniques from chest X-ray images: a step towards effective diagnosis

2026 · Abu Saleh Mohammad Nabil, Md. Musfiqur Rahman Mridha Mridha, et al. · Polish Journal of Radiology · 1

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Improved Classification of Retinal Disease: An Ensemble Deep Learning Approach for Diabetic Retinopathy, Glaucoma, and Cataracts

2025 · Asif Ahamed, Taufiq Khan, et al. · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN) · 1

Multi-Level Ensemble Learning for Retinal Disease Classification Using a Weighted Strategy

2025 · Md. Shahid Ahammed Shakil, Md. Shahid Uz Zaman · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN) · 1

Innovative Lightweight CNN Model for Stage-Wise Alzheimer's Disease Detection

2025 · Md. Rafsan Yeasir, Fatin Nibbrash Nakib, et al. · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN) · 1

Deep Learning-Based Classification of Potato Leaf Diseases for Sustainable Agriculture

2025 · Md. Humaun Huda, Md. Shahid Ahammed Shakil, et al. · International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM) · 1

Automated Weed Detection in Agriculture Using Deep Learning Approaches: A Comparison of CNN Architectures

2025 · Zakirul Islam, Md. Musfiqur Rahman Mridha, et al. · International Conference on Electrical, Computer and Communication Engineering · 1

Focal-Attention Synergy: Cross-Attention Fusion of Vision Transformers and CNNs for Brain MRI-Based Neurological Disorder Detection

2026 · Md. Shahid Ahammed Shakil, Md. Nazrul Islam Mondal · International Conference on Power, Electronics, Communications, Computing, and Intelligent Infrastructure (PECCII)

A Multimodal Hybrid Deep Learning Framework for Parkinson's Disease Detection from Speech

2026 · Refat-E-Jannat, Md. Shahid Ahammed Shakil, et al. · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN)

Detecting Fresh & Rotten Fruits: A Comprehensive Study Using Deep & Machine Learning Techniques

2025 · Fahmida Tahmin, Md. Musfiqur Rahman Mridha, et al. · International Conference on Computer and Information Technology (ICCIT)

Hybrid Deep and GLCM Feature Fusion with Ensemble Learning for Multi-Class Neurodegenerative Disease Classification

2025 · Md. Shahid Ahammed Shakil, Md. Nazrul Islam Mondal · International Conference on Computer and Information Technology (ICCIT)

Enhanced MobileNetV1 for Early Autism Detection: A Transfer Learning Approach Using Facial Imagery

2025 · Kazi Mahmudul Hasan, Fatin Nibbrash Nakib, et al. · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN)

A Skin Lesion Classification Approach Using Transfer Learning to Detect Monkeypox

2025 · Md. Taufiq Khan, Md. Musfiqur Rahman Mridha, et al. · IEEE International Conference on Quantum Photonics, Artificial Intelligence & Networking (QPAIN)

Enhancing Cybersecurity: Comparative Insights in Machine Learning Models for Ransomware Detection

2025 · Md. Tauhidur Rahman Rafi, Iffath Tanjim Moon, et al. · European Journal of Artificial Intelligence and Machine Learning

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From Fresh to Foul: Deep Learning’s Discerning Eye on Fruit Decay

2025 · Md. Ashikuzzaman Ashik, Sakib Imtiaz, et al. · International Conference on Electrical, Computer and Communication Engineering

Leveraging Transfer Learning and Ensemble Models for the Classification of Monkeypox and Other Skin Lesions

2024 · Md. Shahid Ahammed Shakil, Md. Jamil Chaudhary, et al. · International Conference on Computer and Information Technology (ICCIT)

Works count: 17

Citation count: 14

H-index: 2

I10-index: