headshot of Mahdi Jazini

Mahdi Jazini

Researcher Graduate Student
Linkedin Website Bioengineering Department

overview

Mahdi Jazini is a Bioengineering and Biomedical Engineering PhD student with expertise in Bio Digital Signal Processing of Cardiovascular System. He has a master's degree in Integrated Circuits (Embedded Systems) and a bachelor's degree in Electronics. Mahdi has received numerous awards and honors, including the Best Paper Award in Conference on Signal Processing and Intelligent Systems 2019. Mahdi has extensive teaching experience as a lab assistant and instructor for both undergraduate and graduate-level courses. Mahdi has also worked as a research assistant for internal lab projects. As an electronics engineer at Tosan Company, Mahdi is responsible for PCB design of the electronics board, software programming of signal processing and AI algorithms using ARMs, and configuring RF IC, PLL, and ADC. He has published papers on frequency detection methods in the wireless Surface Acoustic Wave Sensor Systems.

about

Visiting Graduate Student, Carnegie Mellon University, 2023 - 2025

M.Sc., University of Tehran, 2016 - 2018

B.Sc., Amirkabir University of Technology, 2012 - 2016

Momin, M.A., Jazini, M., Jellur Rahman, M., & Mieno, T. (2025). Self-Powered Wearable Pressure Sensors for Detection and Separation of Signals for Various Human Movements. ANALYSIS & SENSING, 5(2).Wiley. doi: 10.1002/anse.202400062.

Jazini, M.M., & Masoumi, N. (2019). Limitations of Fourier Transform Analysis in the Wireless SAW Sensor Systems. In 2019 Sixth Iranian Conference on Radar and Surveillance Systems, 00, (pp. 1-5).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/icrss48293.2019.9026549.

Jazini, M.M., Khoshakhlagh, M., & Masoumi, N. (2019). A Novel Combination of Neural Networks and FFT for Frequency Estimation of SAW Resonators’ Responses. In 2019 5th Iranian Conference on Signal Processing and Intelligent Systems (ICSPIS), 00, (pp. 1-5).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/icspis48872.2019.9066129.

Jazini, M.M., Khoshakhlagh, M., & Masoumi, N. (2018). A New Frequency Detection Method Based on FFT in the Application of SAW Resonator Sensor. In Electrical Engineering (ICEE), Iranian Conference on, 00, (pp. 232-237).Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/icee.2018.8472551.