Rate My Professor Aline Maalouf

Dr. Maalouf's research specializations include the application of machine learning to cybersecurity, Internet of Things, and artificial intelligence; integration of quantum control with machine learning for robust quantum computing techniques; development and integration of signal processing techniques with deep learning; and integration of embedded systems with deep learning. She has received the Fellow of the Cambridge Overseas Trust, the ALMA Prize, was a finalist for the Best Student Paper Award at the American Control Conference in 2009, a Scholarship from the University of New South Wales, and the Cambridge Overseas Trust Scholarship. Key publications include 'One port impedance quantization for a class of annihilation operator linear quantum systems' in the Journal of the Franklin Institute (2023), 'Finite horizon H∞ control for a class of linear quantum measurement delayed systems: A dynamic game approach' in SIAM Journal on Control and Optimization (2014), 'Time-varying H infinity control for a class of linear quantum systems: A dynamic game approach' in Automatica (2012), and 'Sampled-data LQG control for a class of linear quantum systems' in Systems and Control Letters (2012). Her contributions appear in prestigious journals and conferences, reflecting her impact in quantum control and machine learning fields. She serves on the IEEE Control Systems Society Quantum Control Systems Committee.