View Muhammad Kashif's Google Scholar Profile for his academic achievements.
Research Experience
Currently, he serves as the Research Team Lead at eBRAIN Lab and a Postdoctoral Research Associate at the Center for Quantum and Topological Systems (CQTS) at New York University (NYU) Abu Dhabi.
Education
He earned his Bachelor's degree in Electrical (Electronics) Engineering from COMSATS Institute of Information Technology, Pakistan, in 2015; MSc in Electronics and Computer Engineering from Istanbul Sehir University, Turkey, in 2020; and PhD from Hamad Bin Khalifa University, Qatar, focusing on exploring potential quantum advantages in machine learning during the Noisy Intermediate-Scale Quantum (NISQ) era, specifically addressing trainability challenges in Quantum Neural Networks (QNNs). He successfully defended his PhD thesis in May 2023.
Background
Research interests include quantum computing, quantum machine learning, and quantum algorithms.