Rate My Professor Brook Abegaz

Dr. Abegaz's research specializes in modern sensor technologies and expert systems to enhance the stability, reliability, resilience, and security of cyber-physical systems, including electronic, storage, and power systems. His work focuses on developing on-chip systems comprising processors, memory, and control units for spatio-temporal network analysis and perturbation tolerance in converter-connected power systems, tackling issues like power, voltage, frequency perturbations, dynamic sources, environmental variabilities, and node/link failures. He has produced 36 research outputs, including journal articles and conference proceedings. Key publications include "Optimal Perturbation Tolerance in VSC-Connected Hybrid Networks using an Expert System-on-a-Chip" (IEEE Transactions on Power Electronics, 2017), "Sensor Technologies for the Energy-Water Nexus – A Review" (Applied Energy, 2017), "Coordinated Motion Planning for Multi-Degrees of Freedom Industrial Robots using Edge Computing Devices" (2025), "Proactive Semi-Supervised Machine Learning Method for Stability Estimation in Smart Grids" (2024), "Design of a Convolutional Neural Network and a Modified Genetic Algorithm for Power Grid Disturbance Classification" (2024), "Smart Control of Buck Converters using a Switching-based Clustering Algorithm" (2019), "Smart Control of Automatic Voltage Regulators using K-means Clustering" (2019), and "A Parallelized Self-Driving Vehicle Controller using Unsupervised Machine Learning" (IEEE Transactions on Industry Applications, 2022).