Fields of Research (FoR)Natural language processing, Machine learning, Deep learning, Computer vision, Computer vision and multimedia computation not elsewhere classified, Pattern recognition, Digital health, Health informatics and information systems
Imran Razzak is a Senior Lecturer in Human-Centered Machine Learning in the School of Computer Science and Engineering at University of New South Wales, Sydney, Australia. Previously, he was as a Senior Lecturer in Computer Science at School of IT, Deakin University, Victoria. His area of research focuses on connecting language and vision for better interpretation of multidimensional data and spans over three broad areas: Machine Learning,...view more
Imran Razzak is a Senior Lecturer in Human-Centered Machine Learning in the School of Computer Science and Engineering at University of New South Wales, Sydney, Australia. Previously, he was as a Senior Lecturer in Computer Science at School of IT, Deakin University, Victoria. His area of research focuses on connecting language and vision for better interpretation of multidimensional data and spans over three broad areas: Machine Learning, Computer Vision, and Natural Language Processing with special emphasis on healthcare and use of natural language to explain the rationale and decision-making process behind the use of machine learning algorithms and models. With a strong background in computer vision and deep learning techniques, he has developed expertise in analysing and interpreting medical images (US, mammogram, CT, PET, MRI, fMRI) to improve patient outcomes. Throughout his career, he has worked on a range of projects that involve developing and implementing machine learning algorithms for medical image analysis. His work has resulted in more than 180 publications in leading journals and conferences in the field of medical image analysis. Through his research, he has made significant contributions to the field of medical image analysis, particularly in the area of early diagnosis. Additionally, he has collaborated with medical professionals to develop tools for early diagnosis of various medical conditions, including cancer, neurodegenerative disease, and heart disease.
You can find more about me at my personal webpage.
- LP220200780 A smartphone rip-detection tool to improve rip current awareness, 343K
- AI-driven medical technologies, Next Generation AI and Emerging Technologies Graduates Program, 1.7million
PhD Analytics, University of Technology, Sydney, Australia
Graduate Certificate of Higher Education (Learning and Teaching), Deakin University, Geelong, Australia
My Research Activities
Imran is currently involved in multiple research projects with internal and external collaborators on Machine Learning, Computer Vision and Natural Language Processing. You may find more details @clickhere
My Research Supervision
Areas of supervision
I 'I am m mainly interested in the following topics: Machine Learning, Computer Vision, Biomedical Image and Text Analysis, Natural Language Processing, Data Analysis and Health Informatics.
Seeking highly self-motivated PhD/Master by Research students. Dual-doctorate degree candidates/visiting students/visiting scholars in the areas of ML/Human-Centered AI are also welcomed
- Syed Javeed- UNSW (2023-2025)
- Abdullah Mohammed Alsuhaibani-UTS (2022-2024)
- Mohammad-UTS (2022-2025)
- Tanya Boone Sifuentes-Deakin (2019-2023)
- Ngoc Dung Huynh-Deakin (2022-2025)
- COMP6771 Advanced C++ Programming