Nouhaila Innan
Postdoctoral Associate
Affiliation: NYU Abu Dhabi
Education: BS, MS, and PhD Hassan II University of Casablanca, Morocco
Research Websites: eBRAIN Lab Center for Quantum and Topological Systems
Research Areas: Quantum machine learning, quantum algorithms, quantum applications
Nouhaila Innan began her academic journey with a Bachelor's in Physics and Applications from Hassan II University of Casablanca, Morocco. She continued her education at the same university, earning a Master's in Physics and New Technologies, specializing in materials and nanomaterials. Innan defended her PhD thesis in Quantum Machine Learning at the end of July 2024 at the same university, focusing on integrating quantum computing principles with machine learning to enhance computational capabilities across various domains, including finance and cybersecurity..
Currently, Innan is a Research Team Lead at eBRAIN Lab in the Engineering Division, and a Postdoctoral Associate at the Center for Quantum and Topological Systems (CQTS) at New York University Abu Dhabi (NYUAD). Her research interests encompass the development of quantum machine learning, quantum algorithms, and their applications to real-world problems. Beyond her research, Innan has been actively involved in mentoring students and making quantum computing and quantum machine learning more accessible and understandable through both local and international events. She is recognized for her ability to translate complex quantum concepts into practical applications, contributing to the growing fields of quantum computing and quantum machine learning with expertise and dedication.
Research Summary
Nouhaila Innan's research interests include the development of quantum machine learning, quantum algorithms, quantum neural networks, quantum federated learning, and quantum circuits. She is particularly focused on applying these techniques to quantum finance, cybersecurity, healthcare, and various other applications, with an emphasis on quantum optimization and the practical implementation of quantum applications.