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

2025

Ten years of robot-assisted versus laparoscopic total mesorectal excision for rectal cancer (short-term RESOLUTION)

Briggs, J., Consten, E., Duhoky, R., Geitenbeek, R., Hopgood, A. A., Khan, J., Masum, S. K., Piozzi, G.

23 Mar 2025, In: JNCI: Journal of the National Cancer Institute

Analysis of local recurrence after robotic-assisted total mesorectal excision (ALRITE): an international, multicentre retrospective cohort

Briggs, J., Consten, E., Duhoky, R., Geitenbeek, R., Hopgood, A. A., Khan, J., Masum, S. K., Piozzi, G.

15 Mar 2025, In: Cancers. 17, 6, 17p., 992

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