Samuel Ocen

Samuel Ocen

Lecturer

Units

Contact Details

Research Platforms

I am a dedicated Lecturer and Researcher specializing in Artificial Intelligence, Machine Learning, Security and Forensics, and Big Data Analytics. With a BSc in Computer Science, an MSc in Computing specializing in Computer Security, and currently pursuing a PhD in Computer Vision, my work is centered on leveraging AI for real-world impact. My PhD research focuses on developing an advanced algorithm capable of accurately detecting Alzheimer’s Disease from Neural Imaging Data Sets, contributing to early diagnosis and improved healthcare solutions. Additionally, as a research scholar with the National Institute of Health Sciences (NIH), I am working on a USD 20,000 grant to develop an AI-powered solution for effectively managing accident trauma cases. Beyond healthcare, I am also spearheading a project with a grant to develop an ML-powered NLP solution to translate local Ugandan languages into English, facilitating tourism and cross-cultural communication within the region. With five years of industry experience in IT Support, Systems Analysis, Systems Administration, and Business Applications Advisory, alongside five years in academia (three as an Assistant Lecturer and two as a Lecturer), I am passionate about bridging the gap between theory and practical AI solutions. My work integrates AI, ML, and NLP to address critical challenges in healthcare, language processing, and security.

I am always open to collaborations and discussions on AI, Machine Learning, Computer Vision, and NLP innovations that can drive meaningful change.

PhD Computer Science (Artificial Intelligence) Candidate, Department of Computer Science, Faculty of Science and Tecnology University of Nairobi Msc. Computing (Computer Security) Uganda Technology and Management University [UTAMU] Bachelor of Information Technology and Computing, Kyambogo University

An NIH Data Science Project aimed at collecting Data on Accident cases in Uganda and later develop an intelligent system to report and analyse accident trends as well as providing a healing solution for Trauma associated to accidents. An MMURIF 2 project aimed at collecting data for various languages in Uganda with a focus in Rutooro and other regional languages like Ateso, Lugbara with the Aim of developing a Tourism Translation Assistant. MMURIF 1 project whose focus is in assessing water consumption trends in Fort portal tourism city and develop a water theft monitoring system.

PhD Masters Undergraduate