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Sk Muktadir Hossain
Sk Muktadir Hossain
Machine Learning | Computer Vision | Algorithms | Image Processing | Vision-Language Models| Large Language Models | Natural Language Processing | Data Analysis
LinkedIn |skmuktadir1@gmail.com| Google Scholar | Github
Contact Number: +8801590007871
ORCiD: https://orcid.org/0009-0006-9073-9264
Bio
Bio
Sk Muktadir Hossain is a Computer Science Engineer with expertise in machine learning, deep learning, and computer vision. Proficient in TensorFlow and PyTorch, he has worked on projects involving MRI brain tumor classification, object detection, and financial forecasting. He holds a degree from American International University-Bangladesh (AIUB) and is actively involved in AI research, aiming to publish in high-impact journals and conferences. His interests also extend to data preprocessing, web development, networking (VLSM), and digital marketing. Muktadir is committed to continuous learning, improving his English proficiency for IELTS, and learning German. He values innovation, problem-solving, and effective communication, striving to apply his skills to real-world challenges.
Sk Muktadir Hossain is actively searching for PhD opportunities in AI/Data Science and exploring Data Science & Machine Learning, Computer Vision roles in the industry. If you know of any opportunities, let’s connect!
Fields of Interest
Fields of Interest
Machine Learning Computer Vision Data Analysis Algorithms
Experiences
Experiences
Instructor (Feb 2026 - Present)
Research Assistant (Dec 2024 - Present)
Junior Data Scientist (July 2025 - Oct 2025)
Teacher's Assistant (July 2022 - Dec 2024)
Education
Education
Bachelor of Science in Computer Information Systems, American International University-Bangladesh, Bangladesh (January 2021-Jun 2025)
Higher Secondary Certificate (HSC) (2019)
GCSE O'Levels, Khulna Zilla School, Khulna (2017)
Academic Achievements
Academic Achievements
Dean's List Honors for achieving a CGPA of more than 3.90 in my undergraduate.
Conferences Attended
Author, 7th IEOM Bangladesh International Conference on Industrial Engineering and Operations Management (Presenter)
Author, 3rd IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IEEE IATMSI-2025) (Presenter)
Conference Publications
Conference Publications
S.K. Muktadir Hossain, Rahat Raihan, Imtiaz Ahmed, Pritam Khan Boni, Dipta Gomes, "Enhancing Bangla Local Speech-to-Text Conversion Using Fine-Tuning Wav2vec 2.0 with OpenSLR and Self-Compiled Datasets Through Transfer Learning", 7th Industrial Engineering and Operations Management Bangladesh Conference IEOM 2024, Dhaka, Bangladesh (Published)
Syed Rayhan Masud, Ahmed Imtiaz, Sk Muktadir Hossain, Md Saef Ullah Miah, "A Comprehensive Approach to Gold Price Prediction Using Machine Learning and Time Series Models," 3rd IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IEEE IATMSI-2025), [Location], 2025. (Published)
Enhancing Clinical Decision-Making: Comparative Evaluation of Machine Learning Models for Symptom-Based Disease Diagnosis, QPAN IEEE,2025 (Accepted)
Book Chapters
Book Chapters
Imtiaz Ahmed, S.K. Muktadir Hossain, Rahat Raihan, Dipta Gomes "Innovative Approaches to Tomato Leaf Disease Detection Bridging Tradition and Technology”, Intelligent Internet of Everything for Automated and Sustainable Farming, IGI Global, 2025 (Accepted)
Journal Publications
Comparative Analysis of YOLO Models for Enhanced Brain Tumor Detection: A Focus on YOLOv8, YOLOv10, and YOLOv11 ( Submitted in Scientific Research )
Machine Learning-Based Heart Attack Disease Prediction: A Comparative Study (Submitted in I. J. Modern Education and Computer Science Press)
"A Lightweight Dataset for Movie Genre Classification" (Data in Brief- Review Phase)
"Advancements in EEG Signal Decoding for Cognitive and Motor Task Classification" (Franklin Open- Review phase)
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