Hi! I’m Beza 👋🏼
My name is Bezawit and I am a PhD student at the UKRI AI Centre for Doctoral Training in Practice-Oriented Artificial Intelligence. This is my professional website where I describe my main research area, ongoing projects, publications, and other AI-related activities.
About Me
I am a practice-oriented PhD researcher in Artificial Intelligence, with research interests at the intersection of AI, cognitive science, behavioural economics, and human decision-making. My work focuses on developing trustworthy, human-centred AI systems that better understand how people reason and make decisions, particularly in high-stakes domains such as healthcare.
I am fascinated by the interaction between human cognition and artificial intelligence. My research explores how the ways people think and make decisions influence the behaviour of AI systems, and how insights from cognitive science can be used to design AI that is more transparent, reliable, and supportive of human decision-making. I aim to contribute to AI systems that work collaboratively with people rather than simply automating decisions.
Beyond my current research, I am broadly interested in explainable AI, trustworthy AI, human-AI interaction, decision support systems, responsible AI, and the application of machine learning to real-world challenges.
Background
Before beginning my PhD, I worked as a Lecturer in the Department of Computer Science at Dilla University, Ethiopia, where I taught courses including Artificial Intelligence, Data Mining, and Programming. Alongside teaching, I supervised undergraduate students and contributed to STEM outreach initiatives that encouraged primary and secondary school students to engage with science, technology, engineering, and mathematics.
I hold both Bachelor’s and Master’s degrees in Computer Science, with a specialisation in Data and Web Engineering. My academic journey has given me a strong foundation in artificial intelligence, machine learning, data analysis, and software development, while reinforcing my passion for interdisciplinary research that bridges computing, human behaviour, and real-world impact.
Through my research, I hope to contribute to AI systems that are not only technically capable but also transparent, trustworthy, and designed to support better human decision-making.
Research Interests
- Trustworthy AI
- Explainable AI (XAI)
- Human-AI Interaction
- Cognitive Science
- Behavioural Economics
- Decision Support Systems
- Healthcare AI
- Machine Learning
This website is authored in Quarto.