Muhammad Kashif
Scholar

Muhammad Kashif

Google Scholar ID: OqsN2QYAAAAJ
Post Doctoral Research Associate, New York University (NYU) Abu Dhabi
Quantum ComputingQuantum Machine LearningEmbedded systems designHardware security
Citations & Impact
All-time
Citations
578
 
H-index
14
 
i10-index
18
 
Publications
20
 
Co-authors
6
list available
Resume (English only)
Academic Achievements
  • 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.