Reza Jahromi is a Ph.D. student in Industrial and systems engineering. His research focus is on human activity recognition using machine learning and deep learning algorithms. He utilizes predictive models on large datasets collected by wearable sensors and video cameras to discover activity patterns in the healthcare system. He is interested in artificial intelligence applications, data mining, signal and image processing, wearable technologies, computer vision, sensor- and video-based human activity detection. In his free time, he enjoys playing the piano, swimming, and watching movies.
- Email: reza.jahromi@tamu.edu
Education & Work
Education
- Ph.D., Industrial and Systems Engineering, 2023 (expected), Texas A&M University, College Station, TX, USA
- MCS., Computer Science and Engineering, 2022, Texas A&M University, College Station, TX, USA
- M.Sc., Mechanical Engineering, 2016, Sharif University of Technology, Tehran, Iran
- B.Sc., Mechanical Engineering, 2013, University of Tehran, Tehran, Iran
Research
- Sensor-based nurse care activity recognition using machine learning algorithms.
Selected Publications
- Jahromi R, Mogharab V, Jahromi H, Avazpour A. “Synergistic effects of anionic surfactants on coronavirus (SARS-CoV-2) virucidal efficiency of sanitizing fluids to fight COVID-19”. Food and Chemical Toxicology. 2020: 111702. https://doi.org/10.1016/j.fct.2020.111702
- Jahromi R, Pakravan H A, Saidi M S, Firoozabadi B. “Primary stenosis progression versus secondary stenosis formation in the left coronary bifurcation: a mechanical point of view”. Biocybernetics and Biomedical Engineering. 2019. https://doi.org/10.1016/j.bbe.2018.11.006