Artificial Intelligence and Data Science

 
Mubangizi's Photo

Mubangizi Martin Gordon

PhD Student (Computer Science)
AIR Lab, Level 6, Block B.
College of Computing and Information Science
mmubangizi[AT]cis.mak.ac.ug
AIR Research Group
 
 

Martin Mubangizi holds a B.Sc. with Education (Physics and Mathematics) from Mbarara University of Science and Technology, Uganda and a Masters of Computer Applications from University of Pune, India. He is currently a PhD Student in Computer Science at the School of Computing and IT, Makerere University. Martin has been a lecturer in the department of Computing and Information Technology at Nkumba University since 2005 and has supervised a number of undergraduate projects and two master's research. Martin was also Part-Lecturer in the Department of Information Technology, School of Computing and IT, Makerere from 2005 to 2009.

Martin has participated in number of consultancies involving software development, systems analysis, systems design, e-learning and user training. Martin's research interest focuses on machine learning and disease density estimation more particularly using spatiotemporal dynamic Bayesian Networks with the case of malaria and cholera. He is a member of the artifical inteligence research group.

Martin is also gaining some experience working with Geographic Information Systems (GIS) and Remote Sensing data because of his PhD Research. He has worked with Remote sensing data like (NDVI, LST, Rainfall Estimates, and Land cover Land Use data), different map projection systems, GIS file formats (.bil, Esri Shapfiles, and .hdf) and a number of GIS tools and technologies like ArcGIS, and QGIS. Martin has also worked with maps in MATLAB, python and R programming language.

Martin also has worked with several Database management Systems (like PostGIS/PostgreSQL, MySQL, and Oracle), Programming languages (like PHP, python, KML, GML, Java, MATLAB, and C/C++) and Web Map Servers (like Map Server).

 

 

 
Research Work

Prediction of disease incidences using spatial temporal models under the supervison of John Quinn.
Research Interests

Machine learning, dynamic Bayesian networks, computational sustainability, spatio-temporal modeling, epidemiology, public health informatics, GIS and Remote Sensing, and Gaussian processes.
Research Visits

11th January 2014 – 30th April 2014, University of Sheffield, Machine Learning Laboratory working with Professor Neil Lawrence and Ricardo Andrade Pacheco PhD. Candidate.
2th October 2012 – 14th October 2012, University of Sheffield, Machine Learning Laboratory Working with Professor Neil Lawrence and Ricardo Andrade Pacheco PhD. Candidate.
Workshops/Summer Schools Attended

10th April 2014, The 24th Mathematical And Statistical Aspects of Molecular Biology Workshop. Sheffield, United Kingdom.
16th January 2014, workshop on Gaussian Processes for Spatiotemporal Modelling, at University of Sheffield, Sheffield, United Kingdom.
13th - 15th January 2014, Gaussian Process Winter School, at University of Sheffield, Sheffield, United Kingdom.
6th- 9th August 2013 Gaussian Processes Road show at Makerere University, Kampala, Uganda presided over by: Prof Neil Lawrence from the University of Sheffield.
June 3-14, 2013, Clinic on the Meaningful Modeling of Epidemiological Data, Muzienberg, Cape Town South Africa Organised by: International Clinics on Infectious Disease Dynamics and Data in conjunction with the University of Florida (UF), DST/NRF Centre of Excellence in Epidemiological Modeling and Analysis (SACEMA) and African institute of Mathematical Sciences (AIMS)
5th February 2013, Earth Observation and Environmental modeling for the Mitigation of Health risks EO2HEAVEN Training Workshop, Kampala. Organised by: Makerere University, College of Health Sciences; and Ministry of Health, Epidemiological Surveillance Division in Collaboration with EU partners.

 

 
Publications

M. Mubangizi, R. Andrade-Pacheco, M. Smith, J.A. Quinn and N.D. Lawrence. Malaria surveillance with multiple data sources using Gaussian process models. Proceedings of the 1st International Conference on the Use of Mobile ICT in Africa. 9-10 December 2014, Stellenbosch, South Africa. Avaliable as [PDF]
Ricardo Andrade-Pacheco, Martin Mubangizi, John Quinn, Neil D Lawrence. Consistent mapping of government malaria records across a changing territory delimitation Challanges in malaria research: Core science and innovation. Oxford, UK. 22-24 September 2014Avaliable as [PDF] [POSTER]
M. Mubangizi, C. Ikae, A. Spiliopoulou , and J. A.Quinn. Coupling Spatiotemporal Disease Modeling with Diagnosis. Won the Community Computing Consortium Outstanding student Award in the Computational Sustainability and AI track at twenty-sixth AAAI conference (2012) in Toronto, Ontario, Canada. Avaliable as [PDF] [BiBTeX]
M. Mubangizi, E. Mwebaze, and J. A.Quinn. Computational Prediction of Cholera Outbreaks. Proceedings of 5th International Conference on Computing and ICT Research 2009 . Avaliable as [PDF] [BiBTeX]

 

 
Education Backgroud
Mbarara, Uganda.
2007-todate PhD. Computer Science (Machine Learning) Makerere University, Kampala, Uganda.
2002-2005 Masters of Computer Applications Pune University, Pune, India.
1998-2001 Bsc. With Education Mbarara University of Science and Technology, (MUST)

 

Other Cerficates

Statement of Accomplishment, Online Machine learning course (ml-class.org), Offered by Stanford University, 2011
Awards

July 2012, Won the Community Computing Consortium Outstanding student Award in the Computational Sustainability and AI track at twenty-sixth AAAI conference in Toronto, Ontario, Canada.
Membership

Association for the Advancement of Artificial Intelligence (AAAI)
Artificial Intelligence Research Group   AIR Makerere, Uganda.