Ibrahim is a Machine Learning Engineer at Castle Ridge. Ibrahim earned his Ph.D. in Software Engineering from Western University. Ibrahim’s academic research focused on topics related to explainable Artificial Intelligence, optimization of federated learning paradigms, anomaly detection, and the utilization of data-driven techniques for optimizing climate systems. Ibrahim earned his Master of Engineering Science degree from Western University. He also completed his Bachelor of Computer Science from the American University of Beirut. His publications include the following:

• Thwarting Cybersecurity Attacks with Explainable Concept Drift – 20th International Wireless Communications and Mobile Computing Conference (IWCMC 2024).
• Efficient Transformer-based Hyper-parameter Optimization for Resource-constrained IoT Environment – IEEE Internet of Things Magazine.
• Data-driven methods for the reduction of energy consumption in warehouses: Use-case driven analysis – Elsevier’s Internet of Things.
• WrapperRL: Reinforcement Learning Agent for Feature Selection in High-Dimensional Industrial Data – IEEE Access.
• Corrfl: correlation-based neural network architecture for unavailability concerns in a heterogeneous iot environment – IEEE Transactions on Network and Service Management.