Sensor systems · Embedded hardware · Signal processing

Mahdi Jazini

I build sensor systems that work outside the lab, from the circuit board to the validated measurement.

Bioengineering PhD candidate at Pitt with three years of production hardware design in industry. My arm-cuff monitor tracked cardiac output in 34 surgical patients about as well as invasive pulse-contour monitoring (83% vs. 81% trending concordance), without an arterial line. Looking for hardware, embedded, and signal-processing roles starting early 2027.

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Selected Work

Smart Cuff hardware: custom board with flowmeter and pressure sensor on an Arduino Due, and the enclosure with air pump and valve
Flagship · NIH-funded ($2.7M) · 2022 – now

Smart Cuff

An automatic arm cuff rebuilt around my own electronics: a mixed-signal PCB with pump and valve PID control, pressure and ECG front ends, and a PyQt6 clinical GUI. Used in multi-site surgical studies. Investigational device; no FDA submission yet.

83%trending concordance vs thermodilution
invasive pulse contour: 81%
34surgical patients
24 liver transplant + 10 cardiac
Read the case study →
Industry · Tosan Co. · 2019 – 2022

Production Mixed-Signal Hardware

As Digital Electronics Engineer (Project Lead), I led the 14-layer mixed-signal DSP/IF board for an electrical-motorcycle control unit through to mass production, with EMI/EMC, power-integrity, and thermal sign-off. I directed the Artix-7 / Kintex-7 FPGA signal chains and built a C#/GPIB test system that drives spectrum analyzers and VNAs.

Embedded · DAQ software

Acquisition & Control Software

A PyQt acquisition and control app for Raspberry Pi 5 and Windows: configurable sensor arrays, MCC128 and NI-DAQ capture, PWM control, synchronized imaging, and calibration.

Also: signal-processing toolbox (BP, FFT, R-peak, cuff physics; source on GitHub) · research timeline

Smart Cuff board, top and bottom views, with airflow and pressure sensors and an EMI shield, next to the enclosure with air pump and valve
The Smart Cuff board, top and bottom: airflow and pressure sensors, the EMI shield, and the enclosure with air pump and valve.

About

Mahdi Jazini portrait
MJ
Pittsburgh, PA

I design the sensor electronics, write the firmware and acquisition software, and build the signal processing that turns raw data into a measurement. Then I test that measurement against a reference.

I'm a Bioengineering PhD candidate at the University of Pittsburgh, graduating December 2026, advised by Prof. Ramakrishna Mukkamala. Before Pitt: three years as a Digital Electronics Engineer (Project Lead) at Tosan Co., an MS in Integrated Circuits (University of Tehran), and a BS in Digital Electronics (Amirkabir University of Technology).

125+
Surgical patients
total data collected; 34 in CO validation study
5
Awards & Prizes
MACSOS 2025 · Safar 2025 · Safar 2026 · PDA 2026 · ICSPIS 2019 Best Paper
5
Peer-reviewed
+ 1 first-author preprint under review

Experience & Education

Download PDF
  1. Aug 2022 – Dec 2026
    Education · PhD Candidate
    PhD, Bioengineering (Biosignals)
    University of Pittsburgh
    Joint coursework at Carnegie Mellon: Intro to ML (10-601), ML in Healthcare (10-742), DSP (18-691), Biostatistics (42-685).
    Also TA / instructor for undergraduate and graduate courses (and earlier at the University of Tehran); co-mentoring junior researchers on signal-processing pipelines and hardware bring-up.
  2. May 2019 – Aug 2022
    Experience · Industry
    Digital Electronics Engineer (Project Lead)
    Tosan Co.
    Signal processing for an electrical-motorcycle control unit: 14-layer mixed-signal DSP/IF PCB design through to mass production; Artix-7 / Kintex-7 FPGA signal-processing chains; C#/GPIB automated RF/analog test system.
  3. 2016 – 2018
    Education
    MS, Integrated Circuits
    University of Tehran
  4. 2012 – 2016
    Education
    BS, Digital Electronics
    Amirkabir University of Technology

Awards

Technical Skills

Hardware
AltiumPCB (14-layer)Sensor AFEADC/DACPID controlFailure analysisLab bench (scope, SA, VNA)
Software & ML
PythonPyQtPandasSciPyNumPyPyTorchscikit-learnMATLABC/C++LTspiceCadence
Embedded & Systems
I²CSPIUARTFPGA (Artix-7, Kintex-7)MCU firmwareRaspberry PiNI-DAQTest automation & cal
Dev & Process
Git / GitHubVersion controlLinuxAgile sprintsTechnical writingPeer review

Publications

  1. 1
    medRxiv preprint (under review) · 2025 · First author · ★ Outstanding Abstract, MACSOS 2025
    Cardiac output monitoring via an automatic arm cuff device: Potential in surgical patients
    Jazini, M., Daher, H., Kumar, R., et al. · medRxiv 2025.10.09.25337689
    Key result: 34 surgical patients (24 liver transplant + 10 cardiac). Cuff-based cardiac output reached 83% trending concordance vs thermodilution, comparable to invasive pulse contour (81%) with no arterial catheter. Correlation: r = 0.60 (pulse contour: r = 0.62).
    Stepwise cuff-based cardiac output estimation framework
    Clinical validation workflow with custom cuff and perioperative timeline
  2. 2
    Scientific Reports · 2025 · Second author
    A popular validated home monitor uses the maximum oscillogram amplitude to compute blood pressure
    Dhamotharan, V., Jazini, M., Kumar, R., et al. · Scientific Reports 15, 35095
    Key result: A variable-ratio method (driven by max oscillogram amplitude) reduced systolic/diastolic BP errors from 5.8 / 1.5 mmHg → 1.5 / 0.8 mmHg — systolic error fell about 4×.
    Cuff-compliance validation setup with NIBP simulator, monitor, and varying cuff sizes
  3. 3
    Analysis & Sensing · 2024
    Self-powered wearable pressure sensors for detection and separation of signals for various human movements
    Momin, Md. A., Jazini, M., et al. · Analysis & Sensing
    In-shoe pressure sensor placement, encapsulation, and wiring circuit
    Generated-power clusters versus step rate across locomotion tasks
  4. 4
    ICSPIS · 2019 · First author · ★ Best Paper Award
    A novel combination of neural networks and FFT for frequency estimation of SAW resonators' responses
    Jazini, M. M., Khoshakhlagh, M., & Masoumi, N. · 5th Iranian Conf. on Signal Processing and Intelligent Systems, IEEE
    SAWR interrogation architecture with transmit and receive chains
    FFT, peak detection, differentiation, and neural-network correction pipeline
  5. 5
    IRSS · 2019 · First author
    Limitations of Fourier transform analysis in the wireless SAW sensor systems
    Jazini, M. M. & Masoumi, N. · IRSS · IEEE
    FFT spectrum of damped SAW signal showing sinc envelope and discrete sampling
  6. 6
    ICEE · 2018 · First author
    A new frequency detection method based on FFT in the application of SAW resonator sensor
    Jazini, M. M., Khoshakhlagh, M., & Masoumi, N. · Iranian Conf. on Electrical Engineering, IEEE
    Three-dimensional search space across IF frequency, phase, and amplitude

Talks & Presentations

Google Scholar → ORCID →

Let's talk

Hiring for hardware, embedded, or signal-processing roles?

Email is fastest. I'm in Pittsburgh, open to relocation, hybrid, or remote work, and available from early 2027. Role fit, logistics, and FAQ are on the hiring page.

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