Adekunle IBRAHIM, B.Sc., M.Sc., Ph.D
Email:
Biosketch
Adekunle IBRAHIM received his masters degree in Computer and Network Engineering from Sheffield Hallam University, United Kingdom. He holds a PhD degree in Computer Science at the University of Canterbury in New Zealand. After several years of working experience in telecommunication industries, he joined Osun State University as a Lecturer in 2011.
ResearchInterests, Achievements / Specialization:
Image processing, pattern recognition, biomedical and medical imaging, Big dataset analysis, Machine learning and Computer vision.
Contributions to knowledge
He has over 15 scholastic publications in local and international Journals to his credit. He has supervised several Theses/Dissertations at the undergraduate level in osun state university.
Awards/ Grants
Tertiary Education Trust Fund (TETFUND) for PhD degree (2012-2016)
AcademicAppointments:
Member Faculty Board of Examiners, Faculty of Basic and Applied Sciences (Invigilations).
Departmental project and seminar coordinator 2011/2012.
Member of Departmental NUC planning committee (2011/2012 academic session).
Head on laboratory Matters -(2016-2018 academic session)
Current Departmental Staff/Student Seminar Coordinator- since 2016
Membership of Learned and Professional Association
1. International Association of Engineers and Computer Scientists (IAENG, Hong kong):Member
2. Research and Development Network ,Nigeria: Member
3. Institute of IT Professionals, New Zealand: Member
4. Nigeria Computer Society, Nigeria: Member
Selected recent Publications
1. O.A. Ojo, M.A. Ibrahim, P.A. Oluwafisoye and C.O. Chime “Dosage Estimation in Mammography for Quality Assurance and Quality Control Using Adult Mammograms”, Radiation Science and Technology (USA, 2018), SciencePG Vol. 4, No. 2, 2018, pp. 6-11.
2. M.A Ibrahim and O.A. Ojo “New Multi-fractal Techniques for Pattern Analysis in Biomedical Images”, SIA OmniSciptum Publishing, Latvia(2018), European Union;LAMBERT Academic Publishing: ISBN:978613989296-9.
3. M.A. Ibrahim, O.A. Ojo and P.A. Oluwafisoye “ On Feature Selection Methods for Accurate Classification and Analysis of Emphysema CT Images.”, International Journal of Medical Imaging (USA, 2017), SciencePG Vol. 5, No. 6, 2017, pp. 70-78.
4. M. A. Ibrahim and R.Mukundan “Multi-fractal Techniques for Emphysema Classification in Lung Tissue Images”, In Proceedings of the 3rd International Conference on Environment, Chemistry and Biology (2014), IPCBEE, pp. 115-119.
5. M.A. Ibrahim, RamakrishnanMukundan “Cascaded Techniques for Improving Emphysema Classification in CT Images”, Artificial Intelligence Research (CANADA, 2015), AIR vol. 4, no. 2, pp. 112-118, 2015. doi:10.5430/air.v4n2p112,
6. M.A. Ibrahim, R. Mukundan“Analysis of Scale Variations of Local Features for Accurate Classification of Emphysema Images”In proceeding of 8th International Congress on Biomedical Engineering and Informatics ( Shenyang, China, 2015), BMEI, IEEE Conference.
strong>Conferences/Workshops Attendance:</strong></span></p> <p>1. African Conference on Biomedical Engineering and Sciences (AFROBIOMEDIC, 2016), Nicon Luxury Hotel, Abuja, Nigeria.<br />2. New Zealand Computer Science Students Conference (NZCSRSC), University of Auckland, Auckland, 10th April, 2015.<br />3. International Congress on Biomedical Engineering and Informatics, IEEE conference, Shenyang, China, 2015<br />4. NIITDA, Training the trainers, Osun State University, Osogbo campus. June, 2011.<br />5. Osun State University, Osogbo College of Science, Engineering and Technology conference 2011. March, 2011.</p> </p>"