Dr Kayode Owa

Scholarship

Selected publications

Representative peer-reviewed work spanning cyber security, AI, energy systems and engineering. For the complete record, use the Scholar profile linked below.

Publications

Automatic defect detection in fasteners using convolutional neural networks

Springer book chapter (peer-reviewed)

View on Springer ↗

Cyber security and cryptography

Published work in public-key cryptography, symmetric encryption, secure communications and cryptographic algorithm development.

  1. [1]

    Assa-Agyei, K., Owa, K. & Al-Hadhrami, T. (2025)

    An efficient generation of prime numbers for RSA encryption scheme

    Springer conference proceedings, pp. 409–420

    Public-key cryptography — efficient prime generation for RSA key generation.

    DOI / link ↗
  2. [2]

    Assa-Agyei, K., Owa, K. & Al-Hadhrami, T. (2025)

    Analysis and improvement of MixColumn operations in the Advanced Encryption Standard algorithm

    Springer conference proceedings, pp. 394–408

    Symmetric cryptography — analysis and improvement of AES MixColumn operations.

    DOI / link ↗
  3. [3]

    Assa-Agyei, K., Owa, K., Al-Hadhrami, T., Olajide, F. & Funnimiyi, O. (2024)

    Hybrid algorithm using Rivest-Shamir-Adleman and elliptic curve cryptography for secure email communication

    International Journal of Advanced Computer Science and Applications, 15(4)

    Secure communications — hybrid RSA–ECC approach for confidential messaging.

    DOI / link ↗
  4. [4]

    Assa-Agyei, K., Owa, K., Olajide, F., Funnimiyi, O. & Al-Hadhrami, T. (2024)

    A multi-chaotic key expansion for Advanced Encryption Standard (AES) algorithm

    Proceedings of the 2024 International Conference on Computing, Networking and Communications (ICNC)

    Cryptographic engineering — multi-chaotic AES key-expansion design.

    DOI / link ↗

Selected wider publications

  1. [5]

    Owa, K. & Akinropo, C. (2025)

    Enhancing long- and short-term forecasting for optimised microgrid energy management through advanced hybrid deep learning models

    International Journal of Applied Science and Research, 8(1), 17–27

    DOI / link ↗
  2. [6]

    Owa, K. & Omosanyin, J.T. (2025)

    Design and simulation of hybrid renewable energy system integration of microgrids using Simulink

    Global Journal of Engineering and Technology Advances, 22(1), 142–148

    DOI / link ↗
  3. [7]

    Ihianle, I.K., Machado, P., Owa, K., Adama, D.A., Otuka, R. & Lotfi, A. (2024)

    Minimising redundancy, maximising relevance: HRV feature selection for stress classification

    Expert Systems with Applications, 239, 122490

    DOI / link ↗
  4. [8]

    Ihianle, I.K., Nwajana, A.O., Ebenuwa, S.H., Otuka, R.I., Owa, K. & Orisatoki, M.O. (2020)

    A deep learning approach for human activity recognition from multimodal sensing devices

    IEEE Access, 8, 179028–179038

    DOI / link ↗
  5. [9]

    Terry Jack, M.D.A., Khuman, S.A. & Owa, K. (2019)

    Spatio-temporal patterns act as computational mechanisms governing emergent behavior in robotic swarms

    International Journal of Swarm Intelligence and Evolutionary Computation, 8(1), 175

    DOI / link ↗
  6. [10]

    Owa, K., Jackson, L. & Jackson, T. (2017)

    An intelligent novel tripartite (PSO-GA-SA) optimisation strategy

    International Journal of Metaheuristics, 6(3), 210–233

    DOI / link ↗
  7. [11]

    Owa, K., Sharma, S. & Sutton, R. (2015)

    A wavelet neural network-based non-linear model predictive controller for a multi-variable coupled tank system

    International Journal of Automation and Computing, 12(2), 156–170

    DOI / link ↗
  8. [12]

    Owa, K., Khan, A., Sharma, S. & Sutton, R. (2018)

    A non-minimum phase robust nonlinear neuro-wavelet predictive control strategy for a quadruple-tank process

    International Journal of Process Systems Engineering, 4(4), 207–229

    DOI / link ↗
  9. [13]

    Teufl, S., Owa, K., Steinhauer, D., Castro, E., Herries, G., John, R. & Ratchev, S. (2018)

    OPTIMISED – developing a state-of-the-art system for production planning for Industry 4.0 in the construction industry

    Transdisciplinary Engineering Methods for Social Innovation of Industry 4.0, IOS Press, 756–765

    Horizon 2020 OPTIMISED consortium output