Mary Nsabagwa

Name: Mary Nsabagwa

Gender: Female

Title: Lecturer

Department: Networks

Highest Qualification: PhD in Computer Science from Makerere University.

Email:mnsabagwa@cit.ac.ug

Alt. Email: N/A

Phone: +256 (0) 392 000180

Mobile: +256 (0) 701124388

Office Hours: 08:00 AM – 05:00 PM

Website: www.cocis.mak.ac.ug

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Profile Summary

Dr. Mary Nsabagwa is a Lecturer at Makerere University, Uganda, and holds a PhD in Computer Science from Makerere University, a master of engineering in Computer Science and technology from Hunan University, People’s Republic of China and a bachelor of Science in Computer Science from Makerere University, Uganda. Besides her academic duties of over 15 years, she has also been engaged in research, majoring in embedded systems and Wireless Sensor Networks. Her research interests are in embedded systems and Wireless Sensor Networks, with a focus on using Internet of Things to solve community problems. She has published over 20 papers in various fields of computer science, resulting from project implementations and collaborated with institutions across the world with individuals from various fields including electrical engineering, meteorology, veterinary medicine, public health and others. She participated in several IoT projects in areas including weather and climate, pollinator monitoring, assistive technology design and wearable device design for allergen monitoring and education among others. Besides teaching and research, she has worked as a programmer and systems analyst on several projects involving various fields such as health, education and human resource among others.
 

Research Publications

Lello, F., Dida, M., Mkiramweni, M., Matiko, J., Akol, R., Nsabagwa, M., & Katumba, A. (2023). Fruit fly automatic detection and monitoring techniques: A review. Smart Agricultural Technology, 100294.

Lello, F., Dida, M., Mkiramweni, M., Matiko, J., Akol, R., Nsabagwa, M., & Katumba, A. (2023). Fruit fly automatic detection and monitoring techniques: A review. Smart Agricultural Technology, 100294.

Lello, F., Dida, M., Mkiramweni, M., Matiko, J., Akol, R., Nsabagwa, M., & Katumba, A. (2023). Fruit fly automatic detection and monitoring techniques: A review. Smart Agricultural Technology, 100294.

Nsabagwa, M., Byamukama, M., Kondela, E., & Otim, J. S. (2019). Towards a robust and affordable Automatic Weather Station. Development Engineering, 4, 100040.

Nsabagwa, M., Mugume, I., Kasumba, R., Muhumuza, J., Byarugaba, S., Tumwesigye, E., & Otim, J. S. (2018, May). Condition monitoring and reporting framework for wireless sensor network-based automatic weather stations. In 2018 IST-Africa Week Conference (IST-Africa) (pp. Page-1). IEEE.

Teaching Interests

Embedded systems, C and Java programming, Internet of Things

Research Interests

Embedded systems and Wireless Sensor Networks, with a focus on using Internet of Things to solve community problems.

Students Supervised

More than 50

Office Address

Makerere Unievrsity College of Computing and Information Science, Block A, Room 301.