• (2020- present) PhD in Mechanical Engineering, Villanova University, Villanova, Pennsylvania, USA.
• (2016- 2018) M.Sc in Electrical Engineering (Dynamics/ Control), University of Tennessee, Knoxville, USA.
• (2010-2015) B.Sc in Mechanical Engineering (Dynamics/ Control) , KNT University of Technology, Tehran, Iran.

He gained experience in the areas of physics-based and data driven modeling for connected vehicles and electrified powertrain energy management during his work at Intrepid Control Systems (ICS) in Detroit, and Tesla, San Diego. He joined the Mechanical Engineering Department at Villanova University in the Spring of 2021 and currently conducts research in the VCADS laboratory under Dr. C. Nataraj’s supervision. Sadra’s research includes signal processing, mathematical modeling, and machine learning related to wearable sensors (photoplethysmogram (PPG), heart rate (EKG), etc).

(2021- present) PhD Candidate, Villanova Center for Analytics of Dynamics Systems (VCADS), Villanova University, Advised by Prof. C. Nataraj.

• Nonlinear dynamical analysis and time-frequency investigation of photoplethysmography (PPG) sensor data, including the detection and quantification of chaos, complexity quantification using concepts of Fractal and Multifractal geometry, Fourier analysis, continuous wavelet transform analysis, and wavelet coherence.
• Characterization of heart arrhythmias recorded by ECG signals, using nonlinear dynamics (delay differential equations, phase portrait, recurrence plots, spectral entropy) and wavelet-based Synchroextracting and multisynchrosqueezing transforms, and energy-entropy signature by frequency sub-band.
• Systematic review of applications of nonlinear dynamics and complexity science in medical diagnostics, including neural systems, cardiac systems, neuromuscular systems, metabolism, and immune systems.
• In Progress: Utilizing analytical methods such as Harmonic balance and multiple scales perturbation methods for frequency analysis of Cardiopulmonary resuscitation (CPR). A physics-based mechanical model, derived from porcine studies, relating the depth of chest compression to the magnitude of the rescuer force is being used.

• Hemmati, S., Kambali, P. N., Nataraj, C., “Nonlinear Dynamical Analysis for Medical Diagnostics”, in preparation for submission to Springer Nature, Journal of Nonlinear Dynamics, 2023.
• Hemmati, S., Kambali, P. N., Bender, D., Nataraj, C., “Characterization of Photoplethysmography Data using Nonlinear Dynamics and Time-frequency Analysis”, in preparation for submission to Springer Nature, Journal of Nonlinear Dynamics, 2023.
• Varanis, M., Filipus, M. C., Hemmati, S, Balthazar, J. M., Nataraj, C., “Exploiting and characterizing ECG signals in time and frequency domains using multisynchrosqueezing and synchroextracting transforms”, under review, Journal of Franklin Institute, 2023.
• Hemmati, S., Rastgoftar, H., A Continuum Deformation Approach for Growth Analysis of COVID-19 in the United States, Scientific Reports, 2021.
• Hemmati, S., Doshi, N., Hanover, D., Morgan, C., Shahbakhti, M., “Integrated Cabin Heating and Powertrain Thermal Energy Management for a Connected Hybrid Electric Vehicle”, Applied Energy, 2021.
• Hemmati, S., Yadav, R., Surresh, K., Robinette, D., Shahbakhti, M. “Essential Powertrain Dynamics for Developing Models for Control of Connected and Automated Electrified Vehicles, Proceedings of the Institution of Mechanical Engineers, Part D: Automobile Engineering, 2022.

• Varanis, M., Hemmati, S, Filipus, MC,. Lima de Abreu, F., Balthazar, J. M., Nataraj, C., “An Overview on Time-frequency Effects of ECG Signals Using Synchroextracting Transform”, accepted, NODYCON Conference, June 18-22 2023, Rome, Italy.
• Hemmati, S, Kambali, P. N., Ito, B., Curtis, B., Nataraj, C., “Multifractal Interactions of Photoplethysmography and Blood Pressure Signals”, accepted abstract, NODYCON Conference, June 18-22 2023, Rome, Italy.