Dr. Oladayo S. Ajani

Dr. Oladayo S. Ajani

In the volume of the book it is written of Me

Publications

**Journal Articles**
  1. Oladayo S. Ajani, Fenyom, I., Darlan, D., & Mallipeddi, R. (2025). Prediction-guided multi-objective reinforcement learning with corner solution search. Computers and Electrical Engineering, 122, 109964.
  2. Kumar, A., Oladayo S. Ajani, Das, S., & Mallipeddi, R. (2025). Entropy-weighted medoid shift: An automated clustering algorithm for high-dimensional data. Applied Soft Computing, 169, 112347.
  3. Oladayo S. Ajani, Darlan, D., Ivan, D. F., & Mallipeddi, R. (2024). Multi-indicator based multi-objective evolutionary algorithm with application to neural architecture search. International Journal of Machine Learning and Cybernetics.
  4. Oladayo S. Ajani, Ivan, D. F., Darlan, D., Suganthan, P., Gao, K., & Mallipeddi, R. (2024). Deep reinforcement learning as multiobjective optimization benchmarks: Problem formulation and performance assessment. Swarm and Evolutionary Computation, 90, 101692.
  5. Jasurbek, N., Ivan, D. F., Oladayo S. Ajani, & Mallipeddi, R. (2024). Genetic Algorithm Guided Image Channel Selection for Skin Lesion Segmentation. IEEE Access, 1–1.
  6. Kang, S., Kim, Y., Oladayo S. Ajani, Mallipeddi, R., & Ha, Y. (2024). Predicting the properties of wheat flour from grains during debranning: A Machine learning approach. Heliyon, e36472.
  7. Ivan, D. F., Darlan, D., Adedigba, A., Oladayo S. Ajani, Mallipeddi, R., & Joo, H. J. (2024). Priority-Encoder Ensemble for Speech Recognition. IEEE Access, 1–1.
  8. Aboyeji, E. T., Oladayo S. Ajani, & Mallipeddi, R. (2024). Covariance matrix adaptation evolution strategy based on ensemble of mutations for parking navigation and maneuver of autonomous vehicles. Expert Systems with Applications, 249, 123565.
  9. Oladayo S. Ajani, Kumar, A., & Rammohan, M. (2024). Covariance Matrix Adaptation Evolution Strategy based on Correlated Evolution Paths with Application to Reinforcement Learning. Expert Systems with Application.
  10. Kim, Y., Kang, S., Oladayo S. Ajani, Mallipeddi, R., & Ha, Y. (2024). Predicting early mycotoxin contamination in stored wheat using machine learning. Journal of Stored Products Research, 106, 102294.
  11. Song, Y., Wu, Y., Guo, Y., Yan, R., Suganthan, P. N., ..., Oladayo S. Ajani, & Feng, Q. (2024). Reinforcement learning-assisted evolutionary algorithm: A survey and research opportunities. Swarm and Evolutionary Computation, 86, 101517.
  12. Oladayo S. Ajani, Hur, S., & Mallipeddi, R. (2023). Evaluating Domain Randomization in Deep Reinforcement Learning Locomotion Tasks. Mathematics, 11(23).
  13. Oladayo S. Ajani, & Mallipeddi, R. (2023). Pareto-based Dynamic Difficulty Adjustment of a competitive exergame for arm rehabilitation. International Journal of Human-Computer Studies, 178, 103100.
  14. Aboyeji, E., Oladayo S. Ajani, & Mallipeddi, R. (2023). Effect of Number of Lanes on Traffic Characteristics of Reinforcement Learning Based Autonomous Driving. IEEE Access, 11, 80199–80206.
  15. Oladayo S. Ajani, Usigbe, M. J., Aboyeji, E., Uyeh, D. D., Ha, Y., Park, T., & Mallipeddi, R. (2023). Greenhouse Micro-Climate Prediction Based on Fixed Sensor Placements: A Machine Learning Approach. Mathematics, 11(14).
  16. Oladayo S. Ajani, Aboyeji, E., Mallipeddi, R., Dooyum Uyeh, D., Ha, Y., & Park, T. (2023). A genetic programming-based optimal sensor placement for greenhouse monitoring and control. Frontiers in Plant Science, 14.
  17. Oladayo S. Ajani, Obasekore, H., Kang, B.-Y., & Rammohan, M. (2023). Robotic Assistance in Radiology: A Covid-19 Scenario. IEEE Access, 11, 49785–49793.
  18. Park, J., Oladayo S. Ajani, & Mallipeddi, R. (2023). Optimization-Based Energy Disaggregation: A Constrained Multi-Objective Approach. Mathematics, 11(3).
  19. Oladayo S. Ajani, & Mallipeddi, R. (2022). Adaptive evolution strategy with ensemble of mutations for Reinforcement Learning. Knowledge-Based Systems, 245, 108624.
  20. Oladayo S. Ajani, & Assal, S. F. (2021). Development of an autonomous robotic system for beard shaving assistance of disabled people based on an adaptive force tracking impedance control. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 235(21), 5758–5775.
  21. Oladayo S. Ajani, & Assal, S. F. (2020). Hybrid Force Tracking Impedance Control-Based Autonomous Robotic System for Tooth Brushing Assistance of Disabled People. IEEE Transactions on Medical Robotics and Bionics, 2(4), 649–660.
**Conference Papers**
  1. Aboyeji, E., Oladayo S. Ajani, & Mallipeddi, R. (2023). On the Scalability of Parking Trajectory Optimization of Autonomous Ground Vehicles. 2023 14th International Conference on Information and Communication Technology Convergence (ICTC), 344–349.
  2. Oladayo S. Ajani, Ivan, D. F., & Mallipeddi, R. (2023). Gaussian Adaptation with Decaying Matrix Adaptation Weights. 2023 IEEE Congress on Evolutionary Computation (CEC), 1–7.
  3. Darlan, D., Oladayo S. Ajani, & Mallipeddi, R. (2023). Lunar Landing Site Selection using Machine Learning. 2023 International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS), 1, 1–4.
  4. Darlan, D., Oladayo S. Ajani, Parque, V., & Mallipeddi, R. (2023). Recognizing Social Touch Gestures using Optimized Class-weighted CNN-LSTM Networks. 2023 32nd IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), 2024–2029.
  5. Ivan, D. F., Oladayo S. Ajani, & Mallipeddi, R. (2023). An Optimal Re-parametrization Scheme for Generalization in Reinforcement Learning. 2023 14th International Conference on Information and Communication Technology Convergence (ICTC), 13–17.
  6. Kumar, A., Oladayo S. Ajani, Das, S., & Mallipeddi, R. (2022). GridShift: A Faster Mode-seeking Algorithm for Image Segmentation and Object Tracking. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 8121–8129.
  7. Obasekore, H., &Oladayo S. Ajani (2019). Using Sedentary Activity Classification Model to Illustrate an Adaptable Freelance Workspace. 2019 7th International Japan-Africa Conference on Electronics, Communications, and Computations, (JAC-ECC), 72–75.
  8. Oladayo S. Ajani, & El-Hussieny, H. (2019). An ANFIS-based Human Activity Recognition using IMU sensor Fusion. 2019 Novel Intelligent and Leading Emerging Sciences Conference (NILES), 1, 34–37.
  9. Oladayo S. Ajani, Samy Assal, F. M., & El-Hussieny, H. (2019). Towards Development of an Autonomous Robotic System for Beard Shaving Assistance for Disabled People. 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), 3435–3440.
  10. Parque, V., Obasekore, H., Oladayo S. Ajani, & Miyashita, T. (2019a). Benchmarking Learning Networks on Eat-Sleep Conditions. 2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech), 29–30.
  11. Parque, V., Obasekore, H., Oladayo S. Ajani, & Miyashita, T. (2019b). On Planning Distributed Minimal Sensor Networks. 2019 IEEE 1st Global Conference on Life Sciences and Technologies (LifeTech), 26–28.
**Patents**
  1. Korean Patent. Anomalous Vehicle Detection and Alerting System using CCTV Camera Network, Patent Number: C-2023-051898.
**Working Papers**
  1. Surrogate-Assisted Multi-Objective Covariance Matrix Adaptation Evolution Strategies with Application to Neural Architecture Search
  2. A Fitness-assignment Method for Evolutionary Constrained Multi-objective Optimization
  3. A Benchmark Suite of Deep Reinforcement Learning as Single Objective Optimization Problems and Baseline Results