Publications

• Azamuke, D., Katarahweire, M.,and Bainomugisha, E. (2024). MoMTSim: A Multi-agent-based Simulation Platform Calibrated for Mobile Money Transactions. in Journal IEEE Access.

• A. Mwotil, T. Anderson, B. Kanagwa, T. Stavrinos and E. Bainomugisha (2024). LowPaxos: State Machine Replication for Low Resource Settings, in Journal IEEE Access, vol. 12, pp. 91272-91288, 2024, doi: 10.1109/ACCESS.2024.3421582.

• Bainomugisha, E, and Nakatumba-Nabende, J (2024). Developing and Deploying End-to-End Machine Learning Systems for Social Impact: A Rubric and Practical Artificial Intelligence Case Studies from African Contexts. Journal of Applied AI Letters,  2024. published by: John Wiley & Sons, Ltd.

• Caradee Yael Wright, Anelisa Jaca, Thandi Kapwata, Natasha Naidoo, Babatunde Awokola, Engineer Bainomugisha, Kiros T Berhane, Suzana Blesic, Anderson Kehbila, Rajen Naidoo, Bono Nemukula, Benjamin Kofi Nyarko, Akinkunmi Paul Okekunle, Tolu Oni, Reginald Quansah, Sokhna Thiam, Ibrahim Sidi Zakari, Negussie Beyene (2024) Identifying globally relevant learnings from Africa's challenges and solutions to climate change and air pollution-related health impacts: a data science scoping review protocol. BMJ Open 2024;14:e076941. doi: 10.1136/bmjopen-2023-076941

• Omid Ghaffarpasand, Deo Okure, Paul Green, Saba Sayyahi, Priscilla Adong, Richard Sserunjogi, Engineer Bainomugisha, Francis D. Pope (2024). The impact of urban mobility on air pollution in Kampala, an exemplar sub-Saharan African city. Elsevier Journal of Atmospheric Pollution Research, 2024, 102057, ISSN 1309-1042, https://doi.org/10.1016/j.apr.2024.102057.

• E. Bainomugisha, P. Adrine, F. Busigu, A. Nshimye, M. Birungi, and D. Okure (2024). AI-driven environmental sensor networks and digital platforms for urban air pollution monitoring and modelling. Elsevier Journal of Societal Impacts, Volume 3, 2024, 100044, ISSN 2949-6977, https://doi.org/10.1016/j.socimp.2024.100044.

• Azamuke, D., Katarahweire, M., Muleesi Businge, J., Kizza, S., Opio, C., Bainomugisha, E. (2024). Refining Detection Mechanism of Mobile Money Fraud Using MoMTSim Platform. In: Debelee, T.G., Ibenthal, A., Schwenker, F., Megersa Ayano, Y. (eds) Pan-African Conference on Artificial Intelligence. PanAfriConAI 2023. Communications in Computer and Information Science, vol 2069. Springer, Cham. https://doi.org/10.1007/978-3-031-57639-3_3

• E. Bainomugisha, K. Bradshaw, M. Mabeifam Ujakpa, J. N. Nabende, L. Nderu, N. Mduma, P. Kihoza, And A. Irungu (2024). Computer Science Education in Selected Countries from Sub-Saharan Africa.  ACM Inroads, Volume 15 Issue 1 pp 64–82 https://doi.org/10.1145/3643037.
  
  
• E. Bainomugisha, J. Ssematimba, D. Okedi, Anold Nsubuga, M. Banda, G. W. Settala, G. Lubisia (2023). AirQo sensor kit: A particulate matter air quality sensing kit custom designed for low-resource settings. Elsevier Journal of HardwareX, Volume 16, 2023,ISSN 2468-0672, https://doi.org/10.1016/j.ohx.2023.e00482

• Smith, M. T., Ross, M., Ssematimba, J.,  Álvarez A. M., Bainomugisha E., and Wilkinson R. (2023). Modelling calibration uncertainty in networks of environmental sensors. Journal of the Royal Statistical Society Series C: Applied Statistics https://doi.org/10.1093/jrsssc/qlad075

• Ssanyu, J. and Bainomugisha, E. and Kanagwa, B. (2023), Teaching language processing with the PAMOJA framework, Elsevier Journal of Science of Computer Programing, Volume 229, 2023, 102959, ISSN 0167-6423, https://doi.org/10.1016/j.scico.2023.102959.

• Nakatumba-Nabende, J., Suuna, C., Bainomugisha, E. (2023). AI Ethics in Higher Education: Research Experiences from Practical Development and Deployment of AI Systems. In: Corrigan, C.C., Asakipaam, S.A., Kponyo, J.J., Luetge, C. (eds) AI Ethics in Higher Education: Insights from Africa and Beyond. SpringerBriefs in Ethics. Springer, Cham. https://doi.org/10.1007/978-3-031-23035-6_4
  

• Bainomugisha, E.; Ssematimba, J.; Okure, D (2023). Design Considerations for a Distributed Low-Cost Air Quality Sensing System for Urban Environments in Low-Resource Settings. Atmosphere 2023, 14, 354. https://doi.org/10.3390/atmos14020354.

• Galiwango, R., Bainomugisha, E., Kivunike, F. et al. (2022). Air pollution and mobility patterns in two Ugandan cities during COVID-19 mobility restrictions suggest the validity of air quality data as a measure for human mobility. Springer Journal of Environ Sci Pollut Res (2022). https://doi.org/10.1007/s11356-022-24605-1
  
  
  
• G. Okello, R. Nantanda, B. Awokola, M. Thondoo, D. Okure, L. Tatah, E. Bainomugisha, T. Oni (2022), Air quality management strategies in Africa: A scoping review of the content, context, co-benefits and unintended consequences, Elsevier Journal of Environment International, Volume 171, 2023, 107709, ISSN 0160-4120, https://doi.org/10.1016/j.envint.2022.107709.

• E. Bainomugisha and A. Mwotil (2022). Crane Cloud: A resilient multi-cloud service abstraction layer for resource-constrained settings, Elsevier Journal of Development Engineering, 2022, 100102, ISSN 2352-7285, https://doi.org/10.1016/j.deveng.2022.100102.

• P. Gahungu, Christopher W.L, Mauricio A. A., E. Bainomugisha, M. T. Smith, R. D. Wilkinson (2022). Adjoint-aided inference of Gaussian process driven differential equations. In Advances in Neural Information Processing Systems 35 (NeurIPS 2022)

• Clarke, K., Ash, K., Coker, E.S., Sabo-Attwood, T. and Bainomugisha, E.(2022). A Social Vulnerability Index for Air Pollution and Its Spatially Varying Relationship to PM2. 5 in Uganda. Atmosphere, 13(8), p.1169. https://doi.org/10.3390/atmos13081169

• R. Sserunjogi, J. Ssematimba, D. Okure, D. Ogenrwot, P. Adong, L. Muyama, N. Nsimbe, M. Bbaale, E. Bainomugisha (2022), Seeing the air in detail: Hyperlocal air quality dataset collected from spatially distributed AirQo network, Elsevier Journa of Data in Brief, Volume 44, 2022, 108512, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2022.108512

• Adong, P, Bainomugisha, E, Okure, D, Sserunjogi, R (2022). Applying machine learning for large scale field calibration of low-cost PM2.5 and PM10 air pollution sensors. Journal of Applied AI Letters. 2022; 1- 16. doi:10.1002/ail2.76

• Muganji, J. and Bainomugisha, E. (2022). Plascua: Programming Language Support for Continuous User Authentication. SN COMPUT. SCI. 3, 450 (2022). https://doi.org/10.1007/s42979-022-01293-9.

• Mwotil, A. Bainomugisha, E. and Araka  S. G. M. (2022). MIRA: an Application Containerisation Pipeline for Small Software Development Teams in Low Resource Settings. In Proceedings of the ACM Federated Africa and Middle East Conference on Software Engineering (FAMECSE). ISBN 978-1-4503-9663-9, 7-8 June 2022, Egypt-Uganda, published by: ACM, New York, NY, USA, 31–38. https://doi.org/10.1145/3531056.3542769

• Azamuke, D., Katarahweire, M. and Bainomugisha, E. (2022). Scenario-based Synthetic Dataset Generation for Mobile Money Transactions. In Proceedings of the ACM Federated Africa and Middle East Conference on Software Engineering (FAMECSE). ISBN 978-1-4503-9663-9, 7-8 June 2022, Egypt-Uganda, published by: ACM New York, NY, USA, 64–72. https://doi.org/10.1145/3531056.3542774.

• Green, P., Okure, D., Adong, P., Sserunjogi, R., & Bainomugisha, E. (2022), Exploring PM2.5 variations from calibrated low-cost sensor network in Greater Kampala, during COVID-19 imposed lockdown restrictions: Lessons for Policy. Clean Air Journal, 32(1). https://doi.org/10.17159/caj/2022/32/1.10906

• Atuhaire, C.; Gidudu, A.; Bainomugisha, E. and .; Mazimwe  A. (2022). Determination of Satellite-Derived PM2.5 for Kampala District, Uganda. Geomatics 2022, 2, 125-143. https://doi.org/10.3390/geomatics2010008.

• Okure, D., Ssematimba, J., Sserunjogi R. , Lozano-Gracia N. ,  Soppelsa M. , Bainomugisha, E. (2022). Characterisation of ambient air quality in selected urban areas in Uganda using low-cost sensing and measurement technology. In Journal of Environmental Science & Technology. ACS. 0.1021/acs.est.1c01443

• B. Akera, J. Mukiibi, L. S. Naggayi, C. Babirye, I. Owomugisha, S. Nsumba, J. Nakatumba-Nabende, E. Bainomugisha, E. Mwebaze, J. Quinn (2022). Machine Translation For African Languages: Community Creation Of Datasets And Models In Uganda. 3rd Workshop on African Natural Language Processing (AfricaNLP2022) workshop colocated with ICLR2022, 29, April 2022.  https://openreview.net/forum?id=BK-z5qzEU-9

• J. Ssanyu and E. Bainomugisha and B. Kanagwa (2021), PAMOJA: A Component Framework for Grammar-Aware Engineering, Elsevier Journal of Science of Computer Programing, Volume 211, 2021, 102703, ISSN 0167-6423, https://doi.org/10.1016/j.scico.2021.102703.
  
  
  
• E. S. Coker, A.K. Amegah, E. Mwebaze, J. Ssematimba, E. Bainomugisha (2021),
  A land use regression model using machine learning and locally developed low cost particulate matter sensors in Uganda, in Elsevier Journal of Environmental Research, Volume 199, 2021,111352, ISSN 0013-9351, https://doi.org/10.1016/j.envres.2021.111352.

• M. Katarahweire, E. Bainomugisha, Khalid A. Mughal, and J. Ngubiri (2021) Form-based Security in Mobile Health Data Collection Systems, in Journal of Security and Privacy, published by: John Wiley & Sons, 1– 29. https://doi.org/10.1002/spy2.155.
  
  
• E. Bainomugisha, Regina Hebig, and Michel Chaudron (2021). Emerging Software Engineering Research Networks in (East) Africa, April 2021, Journal of ACM SIGSOFT Software Engineering Notes, Volume 46, Issue 2, https://doi.org/10.1145/3448992.3448996

• M. Katarahweire, E. Bainomugisha, Khalid A. Mughal (2020) Data Classification for Secure Mobile Health Data Collection Systems, in Elsevier Journal of Development Engineering, Volume 5, 2020, 100054, ISSN 2352-7285, https://doi.org/10.1016/j.deveng.2020.100054.

• A. K. Ssebwana and E. Bainomugisha (2020), "A Secure Context-aware Content Sharing Kiosk for Mobile Devices in Low-Resourced Environments," in SAIEE Africa Research Journal, vol. 111, no. 3, pp. 102-110, Sept. 2020, doi:10.23919/SAIEE.2020.9142603.

• E. Bainomugisha, Regina Hebig, and Michel Chaudron(2020). Sustainable Capacity Building in Software Engineering Research in Africa: The Example of the BRIGHT Project. In Journal of SIGSOFT Softw. Eng. Notes 45, 3 (July 2020), 18–20. DOI:https://doi.org/10.1145/3402127.3402135
  
  

• M. Katarahweire, E. Bainomugisha and K. Mughal (2019) A Multi-Level Data Sensitivity Model for Mobile Health Data Collection Systems. Book Chapter In:  Rocha, Á. et al (eds)  Information Systems and Technologies (WorldCist). Advances in Intelligent Systems and Computing, vol 932. Springer. SBN: 978-3-030-16186-6. http://dx.doi.org/10.1007/978-3-030-16187-3_53
  
  
• J. Businge; M. Openja; D. Kavaler; E. Bainomugisha; F. Khomh; V. Filkov (2019)
  Study of Android App Popularity by Cross-Linking Github and Google Play Store. In IEEE 26th International Conference on Software Analysis, Evolution, and Reengineering (SANER), February 24-27, 2019, Hangzhou, China
  
  
• J. Businge; S. Kawuma; M. Openja ; E. Bainomugisha; A. Serebrenik (2019) How Stable Are Eclipse Application Framework Internal Interfaces? In IEEE 26th International Conference on Software Analysis, Evolution, and Reengineering (SANER), February 24-27, 2019, Hangzhou, China
  
  
• J. Businge, M. Openja, S. Nadi, E. Bainomugisha and T. Berger (2018) "Clone-Based Variability Management  in the Android Ecosystem" In Proceedings of the IEEE 34th International Conference on Software Maintenance and Evolution (ICSME 2018). Septmber 2018, Madrid, Spain Published by IEEE.
  
  
• J. Businge, S. Kawuma, E. Bainomugisha, F. Khomh and E. Nabaasa (2017). Code Authorship and Fault-proneness of Open-Source Android Applications : An Empirical Study. In Proceedings of the 13th International Conference on Predictive Models and Data  Analytics in Software Engineering (PROMISE 2017). November 8, 2017, Toronto, Canada. ISBN: 978-1-4503-5305-2  Published by  ACM     doi 10.1145/3127005.3127009
  
  
• I. N. Oteyo, and  E. Bainomugisha (2017). Volume of Signaling Traffic Reaching Cellular Networks from Mobile Phones. In Proceedings of the IEEE AFRICON 2017, Septmber 18-20 2017, Cape Town (South Africa), published by: IEEE doi 10.1109/AFRCON.2017.8095590 ISSN: 2153-0033
  
  
• M. Katarahweire, E. Bainomugisha, K. Mughal (2017). Authentication in Selected Mobile Data Collection Systems: current state, challenges, solutions and gaps. In Proceedings of the th IEEE/ACM International Conference on Mobile Software Engineering and Systems, May 22-23, Buenos Aires (Argentina), published by: IEEE
  
  
• E. Bainomugisha (2016). IoT4Food: Harnessing Internet of Things Technology (IoT) for sustainable agriculture" In Journal of RUFORUM Working Document Series, Volume 14, part 1, pp 343-345, ISSN: 1607-9345.
  
  
• S. Kawuma, J Businge and E. Bainomugisha (2016). “Can we find Stable Alternatives for Unstable Eclipse Interfaces?”. In Proceedings of the 24th IEEE International Conference On Program Comprehension, Austin, Texas, USA, pp:  1-10, published by: IEEE, doi 10.1109/ICPC.2016.7503716.
  
  
• E. Bainomugisha, J. Vallejos, C. De Roover, A. Lombide Carreton, and W. De Meuter (2012). “Interruptible Context-dependent Executions: A Fresh Look at Programming Context-aware Applications”. In Proceedings of the ACM Conference SPLASH/Onward!'12, Tucson, Arizona, USA, pp:  67 - 84, published by: ACM, ISBN-ISSN: 978-1-4503-1562-3.
  
  
• E. Bainomugisha, J. Vallejos, E. Gonzalez Boix, P. Costanza, T. D'Hondt, and W. De Meuter (2012). “Bringing Scheme Programming to the iPhone – Experience”. In Journal of Software: Practice and Experience, Volume: 42, N° in volume: 3, pp: 331 - 356, eds: R. Nigel Horspool, Andy J. Wellings, published by: John Wiley & Sons, Ltd., ISBN-ISSN: 0038-0644.
  
  
• E. Bainomugisha, J. Vallejos, E. Tanter, E. Gonzalez Boix, P. Costanza, W. De Meuter, and T. D'Hondt (2009). “Resilient Actors: A Runtime Partitioning Model for Pervasive Computing Services”. In Proceedings of the International Conference on Pervasive Services (ICPS'09), Imperial College, London, UK, pp: 31 - 40, published by: ACM, ISBN-ISSN: 978-1-60558-644-1.

•  E. Truyen, N. Cardozo, S. Walraven, J. Vallejos, E. Bainomugisha, S. Günther, T. D'hondt, and W. Joosen (2012). “Context-oriented Programming for Customizable SaaS Applications”. In Proceedings of the 27th ACM Symposium on Applied Computing, Trento, Italy, pp: 418 - 425, published by: ACM, ISBN-ISSN: 978-1-4503-0857-1. Best Paper Award (http://europe.acm.org/best-paper-2012.html)
  
  
• E. Bainomugisha, A. Lombide Carreton, T. Van Cutsem, S. Mostinckx, and W. De Meuter (2013). “A Survey on Reactive Programming”. Accepted to appear in Journal of ACM Computing Surveys, Volume: 45, N° in volume: 4, N° of pages: 35, published by: ACM. Impact factor: 9.920, 5-year: 14.672
  The Journal of ACM Computing Surveys has the highest impact factor among all Computer Science journals.
  
  
• P. Koosha, E. Bainomugisha, Y. Vanrompay, Y. Berbers, and W. De Meuter (2010). “Middleware for the Internet of Things, Design Goals and Challenges”. In Journal of Electronic Communications of the EASST, Volume: 28, eds: Sonia Ben Mokhtar, Romain Rouvoy and Michael Wagner, published by: Electronic Communications of the EASST. ISSN 1863-2122.
  
  
• E. Bainomugisha, A. Cádiz, P. Costanza, W. De Meuter, S. Gonzalez, K. Mens, J. Vallejos, and T. Van Cutsem (2012). “Language Engineering for Mobile Software”. In Handbook of Research on Mobile Software Engineering: Design Implementation and Emergent Applications, pp: 150 - 166, eds: Paulo Alencar and Donald Cowan, published by: IGI Global, ISBN-ISSN: 9781615206551.
  
  
• E. Bainomugisha, P. Koosha, J. Vallejos, Y. Berbers, and W. De Meuter (2012). “Flexub: Dynamic Subscriptions for Publish/Subscribe Systems in MANETs”. In Proceedings of the 12th IFIP International Conference on Distributed Applications and Interoperable Systems, Lecture Notes in Computer Science, Volume: 7272, pp: 132 - 139, eds: Karl M. Goschka and Seif Haridi, published by: Springer, ISBN-ISSN: 978-3-642-30822-2.
  
  
• E. Bainomugisha and W. De Meuter (2012). “Open Reactive Dispatch”. In Proceedings of the 3rd International workshop on Free composition (FREECO-SPLASH 2012), Tucson, Arizona, USA, pp: 5 - 8, published by: ACM, ISBN-ISSN: 978-1-4503-1635-4, October 22, 2012.
  
  
• E. Bainomugisha, W. De Meuter, and T. D'Hondt (2009). “Towards Context-Aware Propagators: Language Constructs for Context-Aware Adaptation Dependencies”. In Proceedings of Workshop on Context-Oriented Programming (COP'09) co-located at the 23rd European Conference on Object-Oriented Programming (ECOOP), Genova, Italy, pp: 8:1 - 8:4, published by: ACM, ISBN-ISSN: 978-1-60558-538-3.
  
  
• J. Vallejos, E. Tanter, E. Gonzalez Boix, E. Bainomugisha, P. Costanza, and W. De Meuter (2008). “Towards Resilient Partitioning of Pervasive Computing Services”. In Proceedings of the 3rd ACM Workshop on Software Engineering of Pervasive Services (SEPS ’08), Sorrento, Italy, pp: 15 - 20, published by: ACM, ISBN-ISSN: 978-1-60558-214-6.
  

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• E. Bainomugisha (2012). "Reactive Method Dispatch for Context-Oriented Programming". Doctoral dissertation, Vrije Universiteit Brussel, Belgium. (ISBN 978 90 5718 244 0). Published by VUB-Press, Brussels, Belgium.
  Jury members: Prof. Dr. Wolfgang De Meuter (Promotor), Prof. Dr. Robert Hirschfeld, Prof. Dr. Kim Mens, Prof. Dr. Sven Casteleyn, Prof. Dr. Bernard Manderick, and Prof. Dr. Theo D'Hondt.
  
  

• E. Bainomugisha (2008). "Resilient Partitioning of Pervasive Computing Services". Masters dissertation, Vrije Universiteit Brussel, Belgium.
  Jury members: Prof. Dr. Wolfgang De Meuter (Promotor), Dr. Jorge Vallejos (Advisor ), Dr. Elisa Gonzalez Boix (Advisor), Dr. Tom Van Cutsem, Prof. Dr. Bernard Manderick.
  
  

• E. Bainomugisha (2006). "An Automatic Programming Assessment System". 3rd Year Bachelor project report, Makerere University, Uganda.