PhD - Nanotechnology, Department of Astronautical, Electrical and Energy Engineering - Sapienza University of Rome (2023 - Present)
Research: Development Of Wearable Sensor Technology for Neonatal Health And Safety Applications
ME - Electronic System Engineering, Department of Electronics Engineering - Mehran University of Engineering and Technology, Pakistan (2021-23)
Thesis: Condition Assessment and Analysis of Bearing of Doubly fed Wind Turbine using Machine Learning Technique
BE - Electronic Engineering, Department of Electronics Engineering - Mehran University of Engineering and Technology, Pakistan (2016-20)
Thesis: Real-Time Health Monitoring System using IoT for Comatose Patients
Publications:
Mahar, A.A.; Mirjat, N.H.; Chowdhry, B.S.; Kumar, L.; Tran, Q.T.; Zizzo, G. Condition Assessment and Analysis of Bearing of Doubly Fed Wind Turbines Using Machine Learning Technique. Energies 2023, 16, 2367. https://doi.org/10.3390/en16052367.
Mahar, A. A., Soother, D. K., & Nisar, K. (2022). Real-Time Health Monitoring System using IoT for Comatose Patients. University of Sindh Journal of Information and Communication Technology, 5(3), 145-151.
Peerzada, P., Larik, W. H., & Mahar, A. A. (2021). DC Motor Speed Control Through Arduino and L298N Motor Driver Using PID Controller. International Journal of Electrical Engineering &Amp; Emerging Technology, 4(2), 21–24.