I am currently pursuing my studies at the University of Maryland (UMD), where my research is centered on probabilistic and robust state estimation and control. I received my B.Sc. degree from the K. N. Toosi University of Technology, Tehran, Iran, in 2018, and my M.Sc. in Applied Mechanics from the University of Tehran, Tehran, Iran, in 2021.
Completed or Current Projects
Mixed venous oxygen saturation (SvO2) plays a number of pivotal roles for patient monitoring and treatment in critical care and cardiopulmonary medicine. However, its continuous measurement requires invasive pulmonary artery catheterization. This paper presents a population-informed personalized Gaussian sum extended Kalman filtering (PI-P-GSEKF) approach to continuous SvO2 estimation from continuous arterial oxygen saturation (SpO2) measurement.
In our prior work, we developed the Exo-Abs, a novel wearable robotic platform for ubiquitous assistance of respiratory functions in patients with respiratory deficiency. This paper concerns the development of a model-based closed-loop control algorithm for the Exo-Abs to automate its breathing assistance.
Circulation of perfluorocarbon (PFC) through corporeal cavities has received interest by virtue of its potential to supplement oxygenation via mechanical ventilation. However, the technology is not mature enough for clinical application, due to the knowledge gaps regarding the limiting factors hampering oxygen transport from PFC to blood. In this paper, we investigate a novel hypothesis that hypothermic peritoneal perfusion of cold oxygenated PFC may improve the oxygenation of blood by facilitating the diffusion of oxygen from PFC to blood.
This M.Sc. thesis explored the performance of underactuated systems subjected to structural damage and proposed a design methodology to ensure their robust performance. The study utilized a combination of L1 control and sliding mode theory to achieve the specified objectives.
This project discusses a modified approach to enhance the robustness of the non-contact roundness measurement method, focusing on optimizing sensor placement to achieve greater reliability.