Md. Ziaul Hoque
D.Sc (Tech)
University Teacher, Faculty of ITEE
Center for Machine Vision and Signal Analysis (CMVS)
Faculty of Information Technology and Electrical Engineering
Dr. Ziaul Hoque is pursuing his postdoctoral research majoring in machine learning and deep learning driven AI-based solutions to support personalized clinical diagnostic or therapeutic decisions under the supervision of Prof. Tapio Seppänen at University of Oulu, Finland. He is currently supervising programming exercises of four regular courses in the Faculty of Information Technology and Electrical Engineering. He also holds a position as a technical supervisor for Doctoral and Master's thesis projects.
Besides, Dr. Hoque conducted his international research visit at University of Florida, USA. Previously, he worked and published joint research papers with the University of Alberta, Canada and University at Buffalo, USA. Apart from this, he has been awarded several encouragement and mobility grants by different prestigious research foundations in Finland. His expertise encompasses medical image analysis, artificial intelligence, and computer vision, making significant strides in bridging the gap between advanced technology and practical applications in healthcare.
Teaching
- 521282S Biosignal Processing II [2018 - Present]
- 521284S Biomedical Engineering Project [2020 - Present]
- 521249S Computer Vision Methods for Biomedical Images [2018 - Present]
- 521027S Advanced Practical Training [2022 - Present]
- 521289S Machine Learning [2018 - 2022]
Research interests
- Medical Image Analysis
- Empirical Software Development
- ML-AI & DL-AI
- Machine Vision
- IoT Embedded Systems
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