Muhammad Kashif is a regular PhD student at University Tor Vergata. He holds a Master’s degree in Biomedical Engineering from the University of Airlangga, Indonesia. His master’s thesis, titled ” Scalogram Driven Hypertension Classification Using PPG Signals with Deep Learning Technique” showcased his expertise in utilizing advanced deep learning techniques for medical signal processing.

Prior to his master’s degree, Kashif completed his Bachelor’s degree in Computer Systems Engineering from the prestigious IUB (Islamia University of Bahawalpur), Pakistan, where he laid the foundation for his passion for technology and data-driven research. 

Muhammad Kashif’s research interests revolve around the intersection of Artificial Intelligence (AI) and Neuroscience. He is particularly intrigued by the application of AI techniques in understanding and enhancing brain-related processes. His work in this field aims to harness the power of AI to unlock new insights into the human brain and to develop innovative solutions for various neurological challenges.