Prof. Steve A. Adeshina

Professor Steve A. Adeshina is a distinguished academic in the Faculty of Engineering at Nile University of Nigeria, where he also serves as the General Manager of Nile Consult & Services Limited. This business consulting subsidiary of the university offers comprehensive consulting, training (including bespoke short professional courses), and specialized services across various sectors of the economy.

Professor Adeshina earned his B.Eng. degree in Electrical and Electronics Engineering from the University of Ilorin, Nigeria, and a Ph.D. in Computer Vision and Engineering from the University of Manchester, UK, in 2010. After a successful career in computing within both the private and public sectors in Nigeria, he joined Nile University in 2011. Over the years, he has held several key academic and administrative positions, including Deputy Vice-Chancellor, Administration (2014-2020).

His research focuses on the application of Computer Vision and Deep Learning techniques to the analysis of medical and biological images and data. He has published over 60 articles in peer-reviewed conferences and journals, with a particular interest in using these techniques for automated cancer detection and diagnosis. Additionally, Professor Adeshina is interested in the use of electronic voting systems to promote good governance, and he has published significant work in this area.

Professor Adeshina is a member of several national and international professional organizations, including the Institute of Electrical and Electronics Engineers (MIEEE), the Association for Computing Machinery (MACM), the Nigerian Society of Engineers (MNSE), the Nigerian Computer Society (MNCS), and he is a registered engineer with COREN and a certified professional with MCPN, among others.

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.

Designation:

Professor

Department:

Computer Engineering

Email:

steve.adeshina@nileuniversity.edu.ng

Office:

Block A, Room 311

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