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Caleb University’s staff radiates a symphony of uniqueness. Their diverse expertise, coupled with an unwavering dedication to student growth, crafts an environment of academic excellence. Beyond mere educators, they serve as mentors, guiding each student on a transformative journey. With professionalism and warmth, they inspire curiosity and foster critical thinking. Their collective commitment shapes futures, leaving an indelible mark on the institution’s legacy and the hearts of those they educate.
Caleb University
OLUDEHINWA Irewola Aaron
Lecturer II
CUL/T/628
Dr. Oludehinwa, Irewola Aaron hail from Ilaje local Government, Ondo State, Nigeria. He earn his Bachelor of Technology (B.Tech) in Physics from Federal University of Technology, Owerri, Nigeria. Then, Proceeded to Federal University of Technology, Akure, for his Master of Technology (M.Tech) in Theoretical Condensed Matter Physics. Dr. Oludehinwa had his Ph.D. in Theoretical Space Physics from University of Lagos, Nigeria. He is an expert in nonlinear dynamics, complexity science, complex network, and machine learning. His research focus is on the nonlinear processes propagating the dynamics of the ionosphere, magnetosphere, and heliosphere due to space weather events. Currently, he is conducting research on using chaos theory to unveil the connections between the lower and upper atmosphere during extreme meteorological events. He is happy married.
| Row ID | Title | Publication Link | Year |
|---|---|---|---|
1 | Investigation of nonlinearity effect during storm time disturbance | https://doi.org/10.1016/j.asr.2018.04.032 | 2018 |
2 | Nonlinear interdependence features in solar wind parameters influencing geomagnetic activity during geomagnetic storms, | https://doi.org/10.1016/j.asr.2021.03.025 | 2021 |
3 | Magnetospheric chaos and dynamical complexity response during storm time disturbance. | https://doi.org/10.5194/npg-28-257-2021 | 2021 |
4 | Dynamical complexity response in traveling ionospheric disturbances across Eastern Africa during major geomagnetic storm | https://doi.org/10.1029/2022JA030630 | 2022 |
5 | Dynamical complexity transitions during HILDCAA events: features analyses based on Neural Network Entropy | https://doi.org/10.1029/2023SW003475 | 2023 |
6 | Solar Active Regions Detection Via 2D Circular Kernel Time Series Transformation, Entropy and Machine Learning Approaches | http://arxiv.org/abs/2306.08270 | 2024 |