Mahdi Jazini

Mahdi Jazini is a Ph.D. candidate in Bioengineering at the University of Pittsburgh’s Cardiovascular Health Tech Lab, where he develops machine-learning and advanced signal-processing algorithms and instrumentation for wearable, non-invasive hemodynamic monitoring. He presented his wearables research at IEEE BSN 2024 and BHI 2023, and won the top prize at the 2025 Safar Symposium. With four years of industry experience in embedded DSP firmware, signal processing, and PCB design, Mahdi bridges engineering rigor and translational research to advance patient-centered health technologies.

  • 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.
Research Interests
Electrical engineering Data management and data science
headshot of Mahdi Jazini
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