Posts by Collection

Graph Neural Networks for Power System Operation

PhD research project: geometric deep learning that generalizes across grid topologies — from AC optimal power flow to EMT simulation surrogates.

Development of A Human Posture Recognition System for Surveillance Application

Published in International Journal of Computing and Digital Systems, 2021

A computer vision system for recognizing human posture in surveillance settings.

Recommended citation: O. F. Arowolo, E. O. Arogunjo, D. G. Owolabi, and E. D. Markus (2021). "Development of A Human Posture Recognition System for Surveillance Application." International Journal of Computing and Digital Systems. 10(1), 1191–1197.
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Image Augmentation for Satellite Images

Published in arXiv preprint, 2022

Data augmentation techniques for satellite imagery in computer vision pipelines.

Recommended citation: O. Adedeji, P. Owoade, O. Ajayi, and O. Arowolo (2022). "Image Augmentation for Satellite Images." arXiv:2207.14580.
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Learning-Accelerated ADMM for Stochastic Power System Scheduling With Numerous Scenarios

Published in IEEE Transactions on Sustainable Energy, 2025

Machine learning accelerates ADMM-based decomposition for stochastic power system scheduling with numerous scenarios.

Recommended citation: A. Rajaei et al. (2025). "Learning-Accelerated ADMM for Stochastic Power System Scheduling With Numerous Scenarios." IEEE Transactions on Sustainable Energy.
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Exploring extrapolation of machine learning models for power system time domain simulation

Published in Sustainable Energy, Grids and Networks, 2025

How well do machine learning surrogates for power system time-domain simulation extrapolate beyond their training data?

Recommended citation: O. Arowolo et al. (2025). "Exploring extrapolation of machine learning models for power system time domain simulation." Sustainable Energy, Grids and Networks.
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Spatio-Temporal Graph Neural Networks for Multi-Period Optimal Power Flow

Published in IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT Europe), 2025

Spatio-temporal graph neural networks for the multi-period optimal power flow problem.

Recommended citation: O. Arowolo et al. (2025). "Spatio-Temporal Graph Neural Networks for Multi-Period Optimal Power Flow." 2025 IEEE PES ISGT Europe.
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Towards generalization of graph neural networks for AC optimal power flow

Published in Energy and AI, 2026

Graph neural networks that generalize across grid topologies and operating conditions for AC optimal power flow.

Recommended citation: O. Arowolo et al. (2026). "Towards generalization of graph neural networks for AC optimal power flow." Energy and AI.
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Revisiting data-driven dynamic security assessment with a tabular foundation model

Published in SSRN preprint, 2026

A tabular foundation model approach to data-driven dynamic security assessment of power systems.

Recommended citation: O. Arowolo et al. (2026). "Revisiting data-driven dynamic security assessment with a tabular foundation model." SSRN.
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Exploring Extrapolation of Machine Learning Models for Power System Time Domain Simulation

Published: July 24, 2025

Conference presentation of our paper on the extrapolation of machine learning models for power system time domain simulations. Read the paper.

Teaching Assistant, CMU-Africa

Teaching assistant, Carnegie Mellon University Africa, 2022

Teaching assistant for the Photovoltaic Systems Engineering course by Prof. Barry Rawn (Oct–Dec 2022).

Teaching Assistant, TU Delft

Teaching assistant, Delft University of Technology, 2025

Teaching assistant for the Machine Learning Workflows for Digital Energy Systems course in the 2024/2025 and 2025/2026 academic years.