Mr. Olusola OLABANJO

Computer Science Department, Lagos State University, Nigeria

 olusola.olabanjo@lasu.edu.ng

Short Profile

I hold a degree in Computer Science from Lagos State University, Lagos Nigeria, West Africa. I am interested in research work, precisely in the area of Computer Vision. I am a software developer who is privileged to work under the supervision of Prof. Benjamin Aribisala, an efficient and prolific researcher and instructor in the area of Computer Vision and Image Analysis.

I am interested in learning new things especially in the area of Computing. I am also a certified IBM Big Data Specialist. I program in many programming languages, e.g. C++, Java, PHP and C-sharp. One of my core strengths is web development. I have developed a number of websites for both individuals and organizations. I am a member of the team working on MIPAR (Medical Image Processor and Repository) project. My career intention is to be in the academics and to use my computational and software development skills to solve real life problems.

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Use Case Description

Medical Image Processor and Repository (MIPAR)
MIPAR is an e-Infrastructure that contains image repository and image processing tools. The image repository lets users share their images with other researchers. They can upload their images so that others can have access to them and they can also download any image from the repository at no cost. The image processing tools give users the opportunity to process their images on a Distributed Computing Infrastructure. All they need to do is to upload their images and then choose the type of processing they want. The images are then processed and they can download the output as soon as it becomes available.

e-Infrastructure Services Exploited

For storing and retrieving medical images, MIPAR adopted the Sci-GaIA Open Access Repository (OAR), in which specific sub-categories have been created for the use case. A DataCite-issued Digital Object Identifier (DOI) is automatically assigned by the OAR to each image to improve its findability, discoverability and reusability.

For processing medical images, the MIPAR Portal is connected to a FutureGateway API Server – developed in the context of the INDIGO-DataCloud project – which seamlessly executes jobs on local, Grid and Cloud resources belonging to the Africa & Arabia Regional Operation Centre.

The MIPAR portal is a Service Provider of the GrIDP “catch-all” Identity Federation.

References

Presentation 1Presentation 2Poster

Current Implementation of the Use Case

MIPAR Portal, Code repository