Dr. Abubakhari Sserwadda

Lecturer

Education Background

Year	Institution	Qualification
2018 – 09.2023	Istanbul Technical University, Istanbul Turkey, Eastern Europe	PhD in Computer Engineering
2014 – 06. 2017	Istanbul Technical University, Istanbul Turkey, Eastern Europe	Masters in Computer Engineering
2010 – 06. 2014	Kyambogo University, Kampala Uganda	Bachelor of Information Technology and Computing (First Class honors)
2008 – 11. 2009	Masaka Secondary School, Masaka, Uganda	Uganda Advanced Certificate of Education (Advanced High school) [U.A.C.E]
2004– 10. 2007	Nakyenyi Secondary School, Masaka, Uganda	Uganda Certificate of Education [U.C.E] (High School)
1997 – 11. 2003	Kiyumba Primary school, Masaka, Uganda	Primary Leaving Examinations [P.L.E]

Publications

Conferences papers and symposiums (Peer reviewed)

Sserwadda, A., & Saraç, Ö. S. (2017, May). Gene selection and classification of pancreatic microarray datasets. In 2017 25th Signal Processing and Communications Applications Conference (SIU)(pp. 1-4). IEEE.

https://ieeexplore.ieee.org/abstract/document/7960251

Investigating the effect of different feature selection strategies for the classification of gene expression signatures of tumour cells. 2017, International Symposium on Health Informatics and Bioinformatics, (HIBIT),

http://hibit2017.ii.metu.edu.tr/posters/

Sserwadda, A., Ozcan, A. and Yaslan, Y. (2022). Hierarchical and Centrality driven Polypharmacy Side Effect Prediction Model, 2022 7th

International Conference on Computer Science and Engineering (UBMK),

IEEE, pp.384–387.

https://ieeexplore.ieee.org/document/9919451

Journal papers (Peer reviewed)

4.Topology-guided cyclic brain connectivity generation using geometric deep learning

A Sserwadda, I Rekik – Journal of Neuroscience Methods, 2021

https://www.sciencedirect.com/science/article/pii/S0165027020304118?via%3Dihub

Sserwadda, A., Ozcan, A. and Yaslan, Y. (2023). Topological Similarity and

Centrality Driven Hybrid Deep Learning for Temporal Link Prediction,

JUCS – Journal of Universal Computer Science, 29(5), 470–490.

https://lib.jucs.org/article/99169/

Sserwadda, A., Ozcan, A. and Yaslan, Y. (2023). Structural and topological

guided GCN for link prediction in temporal networks, Journal of Ambient

Intelligence and Humanized Computing, 1–9.

https://link.springer.com/article/10.1007/s12652-023-04639-0

Patrick, Kayemba, Abubakhari Sserwadda, Edymond Richard Hirya, Martha Janepher Kisakye, and Rashid Kisejjere. “Cassava Disease Detection Using Machine Learning Techniques.” Cross Current Int J Agri Vet Sci7, no. 3 (2025): 64-66.

https://www.easpublisher.com/media/features_articles/CCIJAVS_73_64-66c.pdf

Rashid Kisejjere, Abubakhari Sserwadda

The Uganda Higher Education Review Journal

Vol. 12, Issue 2, 2025

https://journal.unche.or.ug/using-ai-to-guide-course-selection-enhancing-information-flow-from-ugandan-graduates-to-prospective-university-entrants/

Rashid Kisejjere, Arthur Kakande, Abubakhari Sserwadda

Healthcare Facilities’ Features and Service

Mendeley Data, Published 25 March 2025

https://doi.org/10.17632/58K7ZPWT84

Specioza chelangat, Racheal Anirwoth, Kizito Najib Mayanja, Abubakhari sserwadda

Mendeley Data | Published 8 February 2025

A Machine Learning Dataset for Classification of Common Coffee Leaf Diseases in Uganda. Mendeley Data. https://doi.org/10.17632/K36WND6KNB

Daniel Kusemererwa, Abubakhari Sserwadda, Muhammed Idid. Orange fruits Dataset

Mendeley Data | Published 5 February 2025. https://doi.org/10.17632/3X8JJD2F72

Scholarships won

Fully funded Turkish scholarship for masters studies, 2014

Fully funded Turkish scholarship for PhD studies, 2018

Research interests

Machine learning, Computer Vision, Artificial Intelligence, Bioinformatics and NLP

Research lab: https://daimarilab.com/members.html

Dr. Abubakhari Sserwadda