Dr. Andrew Katumba is a lecturer in the Department of Electrical and Computer Engineering, at Makerere University where he also serves as the Lead for the Marconi Research and Innovation Lab (Marconi Lab).
He holds a Ph.D. in Photonics Engineering from Gent University, Belgium, and an MSc. Optics and Photonics for Karlsruhe Institute of Technology, Germany. His current research focuses on applying Artificial Intelligence to Healthcare and Medicine in low-resource settings. Andrew leads a number of ongoing projects focused on screening cancer (cervical, breast, and prostate) using various medical imaging modalities ranging from ultrasound, and mp-MRI to CT, in collaboration with the Uganda Cancer Institute.
He is also a champion for the digitization of healthcare workflows and for example, co- leads the joint effort between the UCI and Makerere University to establish a national cancer Health Information Exchange.
First Name | Andrew |
Surname | Katumba |
Academic Title | Doctor, Lead Marconi Research and Innovation Lab (Marconi Lab) |
Department | Electrical and Computer Engineering |
Position | Lecturer |
Telephone Number | +256784343505 |
Andrew.katumba@mak.ac.ug | |
Office Number | 3002 |
Courses Taught | C programming, Object Oriented Programming, Optical Communications |
Areas of Research Interest | Application of Artificial Intelligence to Healthcare and Medicine in low-resource settings |
Education Background | 2004-2008; Bsc. Electrical Engineering (First Class Honours), Makerere University, 2011 -2013; Msc. Optics and Photonics (Specialization: Optical Systems) ,Karlsruhe Institute of Technology (KIT) 2013-2018: PhD, Photonics Engineering, Ghent University |
Other key skills training/Certification | Data Engineering with Google Cloud Specialization Machine Learning Engineer Nanodegree Deep Learning Specialization |
Published journal articles (recent 5 years) | Building Text and Speech Benchmark Datasets and Models for Low‐Resourced East African Languages: Experiences and Lessons, March 2024, Applied AI Letters 5(8) Computer vision and deep learning in insects for food and feed production: A review, January 2024, Computers and Electronics in Agriculture 216(1);108503 Coffee and Cashew Nut Dataset: A Dataset for Detection, Classification, and Yield Estimation for Machine Learning Applications, December 2023, Data in Brief 52(1):109952 Implementing mobile telemedicine for cervical cancer screening in Uganda: A qualitative study of the perceptions of stakeholders (Preprint), October 2023, Journal of Medical Internet Research 25(10) sing Machine Learning for Image-based Analysis of Sweetpotato Root Sensory Attributes, July 2023, Smart Agricultural Technology 5(3):100291 |
Links to social media (e.g. LinkedIn) | https://www.linkedin.com/in/andrew-katumba-a6087050/ |
Links to scholarly collaboration network (e.g. Scholar, ResearchGate, etc) | https://ieeexplore.ieee.org/author/38272510300 https://www.researchgate.net/profile/Andrew-Katumba |