Sabbir Hossen
Download ResumeI am a Computer Science graduate and looking for a PhD position in a competitive academic environment where I can solve challenges in Machine Learning algorithms and applications, contribute to cutting-edge research, and prepare for a career in academia or industry.
Research Interest: Computer Vision, Natural Language Processing, Large Language Models, Generative AI and Medical Imaging
Address: 189, College Road, Bir Pakundia, Pakundia-2336, KishoreGanj, Dhaka
Projects
An Explainable AI Driven Machine Learning Approach for Maternal Health Risk Analysis
Md Sabbir Hossen, Pabon Saha, Md Saiduzzaman
27th International Conference on Computer and Information Technology (ICCIT) [Accepted]
Sophisticated Feature Vectorization-Based Stacked Machine Learning Approach for Fake News Detection in Bangla and English
Md Sabbir Hossen, Fahmid Al Farid, Pabon Saha, Anichur Rahman, Abu Saleh Musa Miah et al.
Social Network Analysis and Mining [Under Review]
ConvNet9: A Cutting-Edge Customized Convolutional Neural Network Model to Identify Potato Leaf Disease with Web Application
Mohammad Shohel Parves, Pabon Saha, Md Sabbir Hossen and Bikash Kumar Paul et al.
Potato Research [Under Review]
A Hybrid Machine Learning Approach Utiliz-ing CNN Feature Extraction with Traditional Classifier to Identify Strawberry Leaf Diseases.
Md Sabbir Hossen, Pabon Saha, Md Saiduzzaman
4th International Conference on Electrical, Computer and Communication Engineering (ECCE) [Accepted]
An Efficient Deep Learning Framework for Brain Stroke Diagnosis Using Computed Tomography (CT) Images
Md Sabbir Hossen, , Eshat Ahmed Shuvo, Pabon Shaha, Mostafa Kamal Nasir et al.
Journal of Visual Communication and Image Representation [Under Review]
Social Media Sentiments Analysis on the July Revolution in Bangladesh: A Hybrid Transformer Based Machine Learning Approach.
Md Sabbir Hossen, Pabon Saha, Md Saiduzzaman
17thth International Conference on Electronics, Computers and Artificial Intelligence [Accepted & Presented]
An Explainable AI Driven Machine Learning Approach for Maternal Health Risk Analysis
Md Sabbir Hossen, Pabon Saha, Md Saiduzzaman
27th International Conference on Computer and Information Technology (ICCIT) [Accepted]
An Explainable AI Driven Machine Learning Approach for Maternal Health Risk Analysis
Md Sabbir Hossen, Pabon Saha, Md Saiduzzaman
27th International Conference on Computer and Information Technology (ICCIT) [Accepted]
An Explainable AI Driven Machine Learning Approach for Maternal Health Risk Analysis
Md Sabbir Hossen, Pabon Saha, Md Saiduzzaman
27th International Conference on Computer and Information Technology (ICCIT) [Accepted]
Optimized Hybrid Cascaded Approach for Accurate Oral Cancer Detection in Histopathology Images Using Deep CNNs.
Eshat Ahmed Shuvo, Md Shuvon, Md. Nazmul Sarkar, Md Sabbir Hossen et al.
2nd International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM) [Accepted & Presented]