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

Head‐down tilt lithotomy position and well‐leg compartment syndrome: an international survey of current practice

Uzoma, C. C., Shepherd, A. I., Saynor, Z. L., Khan, J. S., Piozzi, G. N., Duhoky, R., Askew, C., Ozmen, M. M., Middleton, T. R. F., Masum, S., Perissiou, M.

7 Jun 2025, In: Colorectal Disease. 27, 6, 9p., e70134

Research output: Article

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

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

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

Research output: Article

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

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

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

Research output: Article

2024

Adaptive Hierarchical Multi-Headed Convolutional Neural Network with modified Convolutional Block Attention for aerial forest fire detection

Najmul Mowla, M., Asadi, D., Masum, S. K., Rabie, K.

30 Dec 2024, In: IEEE Access. 13, 22p.

Research output: Article

Adaptive CNN method for prostate MR image segmentation using ensemble learning

Jacobson, L. E. O., Masum, S. K., Bader-El-Den, M., Hopgood, A. A., Tamma, V., Prendergast, D., Osborn, P.

29 Nov 2024,

Research output: Conference contribution

Prediction of hypotension during haemodialysis through data analytics and machine learning

Masum, S. K., Hopgood, A. A., Lewis, R., Sangala, N.

14 Sep 2024, In: Journal of Kidney Care

Research output: Article

UAVs-FFDB: a high-resolution dataset for advancing forest fire detection and monitoring using Unmanned Aerial Vehicles (UAVs)

Masum, S. K., Najmul Mowla, M., Asadi, D., Tekeoglu, K. N., Rabie, K.

1 Aug 2024, In: Data In Brief. 55, 18p., 110706

Research output: Article

Long-term outcomes of robotic versus laparoscopic total mesorectal excisions: a propensity-score matched cohort study of 5-year survival outcomes

Duhoky, R., Rutgers, M., Burghgraef, T., Stefan, S., Masum, S. K., Piozzi, G. N., Sagias, F., Khan, J.

1 Jun 2024, In: Annals of Surgery Open. 5, 2, 8p., e404

Research output: Article

2023

Hybrid machine learning model for a next-generation ecofriendly travelling and guides to reduce carbon emissions

Hossain, E., Rahman, W., Ekram, A. B., Abedin, R., Roni, N. A., Haque, E., Asaduzzaman, S. M., Shazzad Hossain, M., Siddiqui, S. S. N. U., Masum, S. K.

3 Mar 2023,

Research output: Conference contribution

2022

Analysing and identifying COVID-19 risk factors using machine learning algorithm with smartphone application

Siddiqui, S., Hossain, E., Asaduzzaman, S. M., Al Jannat, S., Niloy, T. s., Rahman, W., Masum, S., Hopgood, A., Good, A., Gegov, A.

2 Aug 2022,

Research output: Conference contribution

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