Mahdi Jazini is a sensor systems and embedded hardware engineer and a bioengineering PhD candidate at the University of Pittsburgh.
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Press kit.
Bios, headshot, fact sheet, contact. Use freely.
At a glance
Name
Mahdi Jazini (also publishes as “Jazini, M.” or “Jazini, M. M.”)
Pronunciation
MAH-dee jah-ZEE-nee
Pronouns
he / him
Title
PhD candidate, Bioengineering — University of Pittsburgh, Cardiovascular Health Tech Lab. Graduating December 2026; available early 2027.
Field
Sensor systems and embedded hardware. Current application: non-invasive hemodynamic monitoring (cuffs, PPG, ECG, respiration).
Based in
Pittsburgh, PA · open to relocation, hybrid, or remote
Press contact
Mahdi.Jazini@pitt.edu — usually replies within a day
Bios — pick a length
Two lengths, copy and paste.
Mahdi Jazini is a sensor systems and embedded hardware engineer and a bioengineering PhD candidate at the University of Pittsburgh. After three years of production hardware design in industry, he built an arm-cuff monitor that tracked cardiac output in 34 surgical patients about as well as invasive pulse-contour monitoring (83% vs. 81% trending concordance). His work has received five awards.
Fact sheet
Education
- PhD, Bioengineering (Biosignals) — University of Pittsburgh, 2022–2026 (expected Dec 2026)
- MS, Integrated Circuits — University of Tehran, 2016–2018
- BS, Digital Electronics — Amirkabir University of Technology, 2012–2016
Awards & honors
- Professional Development Award — 19th Research Symposium, University of Pittsburgh, 2026
- Top Prize — Safar Symposium, Dept. of Anesthesiology, University of Pittsburgh, May 2026
- Outstanding Abstract Award — MACSOS Conference, University of Pittsburgh, Sept 2025
- Top Poster Prize — Safar Symposium, Dept. of Anesthesiology, University of Pittsburgh, May 2025
- Best Paper Award — 5th Conf. on Signal Processing and Intelligent Systems (ICSPIS), IEEE, 2019
Selected publications
- Jazini, M., et al. Cardiac output monitoring via an automatic arm cuff device. medRxiv, 2025.
- Dhamotharan, V., Jazini, M., et al. A popular validated home monitor uses the maximum oscillogram amplitude to compute blood pressure. Scientific Reports, 2025.
- Momin, M.A., Jazini, M., et al. Self-powered wearable pressure sensors. Analysis & Sensing, 2024.
- Jazini, M.M., et al. Neural-network + FFT frequency estimation of SAW resonators. ICSPIS, IEEE, 2019.
Images & downloads
Free to use; credit appreciated.
