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

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

View all my research outputs