Dr Shamsul Masum
Summary
Data analysis and the development of prediction models using machine learning techniques are my research's prime interests. In my PhD thesis, I analysed the patient's physiological times series data in developing a critical event prediction model using machine learning techniques. My passion lies in teaching electronics, programming and developing models using Artificial Intelligence to solve real-life problems. My future research plans are to continue to research in the border area of data science and machine learning applications.
Research outputs
2024
Adaptive Hierarchical Multi-Headed Convolutional Neural Network with modified Convolutional Block Attention for aerial forest fire detection
Asadi, D., Masum, S. K., Najmul Mowla, M., Rabie, K.
30 Dec 2024, In: IEEE Access. 13, 22p.
Prediction of hypotension during haemodialysis through data analytics and machine learning
Hopgood, A. A., Lewis, R., Masum, S. K., Sangala, N.
14 Sep 2024, In: Journal of Kidney Care
UAVs-FFDB: a high-resolution dataset for advancing forest fire detection and monitoring using Unmanned Aerial Vehicles (UAVs)
Asadi, D., Masum, S. K., Najmul Mowla, M., Rabie, K., Tekeoglu, K. N.
1 Aug 2024, In: Data In Brief. 55, 18p., 110706
Long-term outcomes of robotic versus laparoscopic total mesorectal excisions: a propensity-score matched cohort study of 5-year survival outcomes
Burghgraef, T., Duhoky, R., Khan, J., Masum, S. K., Piozzi, G. N., Rutgers, M., Sagias, F., Stefan, S.
1 Jun 2024, In: Annals of Surgery Open. 5, 2, 8p., e404