Professor Steve A. Adeshina

Designation:

Dean, Faculty of Engineering

Department:

Computer Engineering

Office:

Block A, Room 311

Biography

Professor Steve A. Adeshina is the Dean of the Faculty of Engineering. He is also a Professor of Computer Vision and Engineering at the Department of Computer Engineering.

He graduated with a B.Eng. degree in Electrical and Electronics Engineering from the University of Ilorin, Nigeria and a PhD in Computer Vision and Engineering from the University of Manchester, Manchester, UK in 2010.

After a very successful Computing career in the private and public sectors in Nigeria, he joined Nile University of Nigeria in 2011, where he has served in several academic and administrative positions including Deputy Vice-Chancellor, Administration (2014 -2020). He is currently serving as the Dean, Faculty of Engineering.

His research interest is in using Computer Vision and Deep Learning techniques in analyzing medical and biological images and data. He has published over 60 articles in peer-reviewed conferences and Journals. His current interest is in using the same Computer Vision techniques in automated cancer detection and diagnosis. Additionally, Prof. Adeshina has research interests in using electronic voting in engendering good governance. He has published some high impact works in this regard.

Prof. Adeshina is a member of several national and international professional organizations including MIEEE, MACM, MNSE, MNCS, Regd. COREN, MCPN, amongst others.

Recent Publications (Articles, Books, Book Chapters/Sections, Proceedings, etc.)

Steve A. Adeshina, Adegboyega Ojo, Factors for e-voting adoption – analysis of general elections in Nigeria, Government Information Quarterly, Volume 37, Issue 3, London: Elsevier, July 2020, https://doi.org/10.1016/j.giq.2017.09.006
• Oluwatomisin E. Aina, Steve A. Adeshina, Adeyinka P. Adedigba, Abiodun M. Aibinu, Classification of Cervical Intraepithelial Neoplasia (CIN) using fine-tuned Convolutional Neural Networks, Intelligence-Based Medicine (Elsevier),Volume 5, 2021, 100031, https://doi.org/10.1016/j.ibmed.2021.100031, April 2021.
• Adeyinka P. Adedigba, Steve A. Adeshina, Oluwatomisin E. Aina, Abiodun M. Aibinu,
Optimal hyperparameter selection of deep learning models for COVID-19 chest X-ray classification, Intelligence-Based Medicine (Elsevier), Volume 5, 2021, 100034 https://doi.org/10.1016/j.ibmed.2021.100034 , April 2021.
• Yusuf Aleshinloye Abass and Steve A. Adeshina, Deep Learning Methodologies for Genomic Data Prediction: Review, Journal of Artificial Intelligence for Medical Sciences (Atlantis press), https://doi.org/10.2991/jaims.d.210512.001, In press, May 2021.
Steve A. Adeshina, and Timothy F. Cootes. Constructing Part-based Models for Groupwise Registration. DOI: 10.1109/ISBI.2010.5490178 In: Proc. 2010 IEEE International Symposium on Biomedical Imaging (pages 733-740). 2010.
• P. Tresadern, H. Bhaskar, S. Adeshina, C. Taylor and T.F. Cootes. Combining Local and Global Shape. Models for Deformable Object Matching In: Daniel Alexander, Andrea Cavallaro and Simon Prince, eds., British Machine Vision Conference 2009, Sept 2009.
S.A. Adeshina, T.F. Cootes and J.E. Adams. Evaluating different structures for predicting skeletal maturity using statistical appearance models. In: Jamshid Dehmeshki, Andreas Hoppe and Darrel Green-hill, eds., Medical Image Understanding and Analysis Conference, (pages 62-66) (BMVA), 2009.
S.A. Adeshina, T.F. Cootes and J.E. Adams. Evaluating the use of Carpal bones for determination of skeletal maturity for infants. In: Abhir Bhalerao and Nasir Rajpoot, eds., Medical Image Understanding and Analysis Conference, (pages 279-283) (BMVA), 2010.
Steve A. Adeshina and Adegboyega Ojo. Design Imperatives for E-voting as Sociotechnical System. DOI: 10.1109/ICECCO.2014.6997569. In: Proc. 11th IEEE International Conference on Electronics Computers and Computation September. 2014.
• Pei Zhang, Steve A. Adeshina, and Timothy F. Cootes. Automatic Learning Sparse Correspondences for Initialising Groupwise Registration. DOI: 10.1007/978-3-642-15745-5-78 In: Jiang, T., Navab, N., Pluim, J and Viergever, M.(eds.) Medical Image Computing and Computer-Assisted Intervention MICCAI 2010, LNCS, vol. 6362, pp. 635-648. Springer, Heidelberg (2010).
Steve. A. Adeshina, A. P. Adedigba, A. A. Adeniyi and A. M. Aibinu. Breast Cancer Histopathology Image Classification with Deep Convolutional Neural Networks DOI: 10.1109/ICECCO.2018.8634690. In: Proc. 14th IEEE International Conference on Electronics Computers and Computation, Kaskelen, Kazakhstan, November 2018.
• Obianuju Chukwuorji, Sadiq Thomas, Steve. A. Adeshina, Bemdoo Saka, Suleiman Usman Hussein and Ismail D Inuwa. Smart Grid and Distributed Generation: A Panacea for Nigeria’s Power Problems, doi: 10.1109/PowerAfrica46609.2019.9078672. In: Proc. 6th IEEE PES/IAS Power Africa conference, Abuja, Nigeria, Abuja, Nigeria, August 2019.
• Chukwuemeka Chiatula, Bemdoo Saka, Sadiq Thomas, Jacob Tsado and Steve. A. Adeshina. The Smart Way, doi: 10.1109/PowerAfrica.2019.8928642. In: Proc. 6th IEEE PES/IAS Power Africa conference, Abuja, Nigeria, Abuja, Nigeria, August 2019.
• O. E. Aina and Steve A. Adeshina and A. M. Aibinu, Classication of Cervix types using Convolution Neural Network (CNN) doi: 10.1109/ICECCO48375.2019.9043206 In: Proc. 15th IEEE International Conference on Electronics, Computers and Computation. December 2019.
• A. A. Adeniyi and Steve A. Adeshina, Automatic Age Classification of Prospective Voters Using Deep Convolutional Neural Network doi: 10.1109/ICECCO48375.2019.9043196. In: Proc. 15th IEEE International Conference on Electronics, Computers and Computation December 2019.
Steve. A. Adeshina, A. P. Adedigba, A. A. Adeniyi and A. M. Aibinu. Breast Cancer Histopathology Image Classification with Deep Convolutional Neural Networks DOI: 10.1109/ICECCO.2018.8634690. In: Proc. 14th IEEE International Conference on Electronics Computers and Computation, Kaskelen, Kazakhstan, November 2018.
• A. P. Adedigba, S. A. Adeshina and A. M. Aibinu, “Deep Learning-based Mammogram Classification using Small Dataset,” 2019 15th International Conference on Electronics, Computer and Computation (ICECCO), 2019, pp. 1-6, doi: 10.1109/ICECCO48375.2019.9043186.
S. A. Adeshina and A. Ojo, “Maintaining Voting Integrity using Blockchain,” 2019 15th International Conference on Electronics, Computer and Computation (ICECCO), 2019, pp. 1-5,
• doi: 10.1109/ICECCO48375.2019.9043225.

Courses/Modules Taught

Undergraduate

• CPE 510/CSC 434 – Digital Image Processing
• CPE 503 – Microcomputer Software and Hardware Techniques

Postgraduate

• CSC 815 – Advanced Computer Communications and Networks
• CPE 812 – Advanced Machine Learning
• CSC 808 – Advanced Computer Architecture
• CSC 918 – Computer Systems Organization and Architecture