LASU holds 75th Inaugural lecture: Meet Prof. Aribisala the Inaugural lecturer
A brief Profile of Professor Benjamin Aribisala
Benjamin Aribisala is a Professor of Computer Science and the Dean of Faculty of Science, Lagos State University. He is also the Chairman of ICT Advisory Board for Lagos State University. He has BSc Mathematics from University of Ado and MSc Computer Science from Federal University of Technology Akure. He obtained his PhD degree in Computer Science from the University of Birmingham, United Kingdom. His PhD research was in medical image analysis and computer vision with special interest in malignant melanoma, a type of skin cancer. Immediately after his PhD research, Professor Aribisala joined Newcastle University in 2006 and conducted research in the field of computational neuroscience using magnetic resonance brain imaging technology. From Newcastle, Professor Aribisala moved to the University of Edinburgh in 2010 where his research focused on brain structural imaging using magnetic resonance imaging and computer vision. He joined Lagos State University as a professor of Computer Science in March 2013.
Professor Aribisala combines his expertise in Computer Science, Mathematics and Medical Image Analysis to conduct clinical research. He has over 90 scientific articles. He is the Editor in Chief of the Journal of Research and Review in Science. Professor Aribisala won the IBM faculty award in 2014. He won the Young Investigators Award from Society for Brain Mapping and Therapeutics, Los Angeles USA in 2015. In 2017, he won the Best Paper Award at the SCI-GAIA European Organisation Conference, Pretoria, South Africa. He is a member of the Technical Advisory Board for African Open Science Platform (AOSP), the body that formulates policy and promote open science and open data in Africa. He is a member of many professional organizations, e.g. Nigerian Computer Society, the British Computer Society and the society for brain mapping and therapeutics.
Come on 10th of December 2019, as he will deliver an Inaugural Lecture titled 'Seeing The Invisible - Computer Vision In Diagnostic Medicine'.
See flyer for more details
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