Home/About

About

Professor Ibiyinka Temilola Ayorinde, Professor of Computer Science in the Department of Software Engineering, Faculty of Computing, University of Ibadan.

Professor Ibiyinka Temilola Ayorinde in her PhD graduation attire
✦Professor of Computer Science

Professional Biography

Professor Ibiyinka Temilola Ayorinde is a Professor of Computer Science and the pioneer Head of the Department of Software Engineering, Faculty of Computing, University of Ibadan. She was the Acting Head of the Department of Computer Science between August 2020 and July, 2022. Her work spans Knowledge Representation, Ontology Engineering, Data Mining, Machine Learning and Software Engineering.

She earned a Bachelor of Technology with Honours in Computer Science from the Federal University of Technology, Akure, in 1995. She subsequently obtained a Master of Science in Computer Science from the University of Ibadan in 2005 and a PhD in Computer Science from the University of Ibadan in 2014.

Her scholarship explores how knowledge can be formally structured, represented and applied across organisational processes, postgraduate administration, software testing, transportation systems, special needs conditions, geophysical methods and educational technology.

Alongside her research, she is committed to teaching, academic leadership and student development.

Academic Appointment

Professor of Computer Science

Department of Software Engineering
Faculty of Computing
University of Ibadan

Academic Qualifications
  • 2014 PhD in Computer Science, University of Ibadan
  • 2005 MSc in Computer Science, University of Ibadan
  • 1995 BTech (Hons) in Computer Science, Federal University of Technology, Akure
Academic Philosophy

Knowledge Should Inform, Empower and Transform

I believe academic knowledge should be communicated, applied and used to improve lives through intellectual rigour and practical relevance.

Teaching and Student Development

Teaching is central to my academic work. My aim is to help students develop strong theoretical foundations, practical problem-solving abilities and the confidence to apply computing knowledge independently.

Teaching Philosophy

Students are guided to examine problems critically, connect theory with practice, collaborate effectively and develop solutions that are technically sound and socially relevant.

Research Supervision

I support students undertaking research in Knowledge Representation, Ontology Engineering, Data Mining, Machine Learning, Software Engineering and related interdisciplinary areas.

View Courses
Suggested Course Categories
01

Software Engineering

02

Knowledge Representation

03

Artificial Intelligence

04

Data Mining

05

Research Methods in Computing

06

Ontology Engineering

07

Software Testing

08

Undergraduate Project Supervision

09

Postgraduate Research Supervision

Current teaching allocation is subject to confirmation.