Mostafa M. Shibl
Engineering · Purdue University West Lafayette
Publications
11
Citations
266
Est. group size
—
Recurring co-author estimate
Active years
7
Publishing since 2020
Mostafa M. Shibl works on engineering problems involving electric vehicle charging, battery management, and energy systems, often using machine learning and reinforcement learning to optimize charging strategies and predict battery health. Other recent work touches on caching for satellite-based communication networks (relevant to future 6G systems), control of time-delayed systems, and applications like ozone generation for water purification. This suggests a research profile spanning power/energy systems and applied control/communications topics, frequently combined with data-driven or AI-based methods.
Publication output was minimal or absent from 2017–2022, then increased notably in 2023 with a smaller number of publications continuing through 2024 and a projected 2026 entry.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Near-Optimal Control of Linear Time-Delayed Systems Using Truncated State History
IEEE Control Systems Letters · 2026
- Performance Evaluation of Sinusoidal Power Supplies for Ozone Generation in Water Purification Applications
Sensors · 2024
- A machine learning-based battery management system for state-of-charge prediction and state-of-health estimation for unmanned aerial vehicles
Journal of Energy Storage · 2023
- Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation
Energy Reports · 2023
- An Intelligent Two-Stage Energy Dispatch Management System for Hybrid Power Plants: Impact of Machine Learning Deployment
IEEE Access · 2023
- Caching Through the Skies: The Case of LEO Satellites Connected Edges for 6G and Beyond
2023
- Caching Through the Skies: The Case of LEO Satellites Connected Edges for 6G and Beyond
2023
- Caching Through the Skies: The Case of LEO Satellites Connected Edges for 6G and Beyond
arXiv (Cornell University) · 2023
- Electric Vehicles Charging Management Using Machine Learning Considering Fast Charging and Vehicle-to-Grid Operation
Energies · 2021
- Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers
Energies · 2020
- Energies×2
- IEEE Control Systems Letters×2
- Journal of Energy Storage×1
- Energy Reports×1
- IEEE Access×1
- Samuel Filgueira da Silva
Engineering · The Ohio State University
- Md Ragib Rownak
Engineering · The Ohio State University
- Eric Dietz
Engineering · Purdue University West Lafayette
- Mauricio Fernández-Montoya
Engineering · Purdue University West Lafayette
- Matilde D’Arpino
Engineering · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
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