Medical Device Electrical Engineering

Hadi ESFANDI

****.*******@*****.*** linkedin.com/in/hadi-esfandi Denver-CO 414-***-****

PROFESSIONAL SUMMARY

R&D Engineer with a strong scientific approach and versatile system design expertise. Quick to learn and adapt, with a proven ability to contribute to the development of systems and products from concept through production. I have the following skill sets :

Define, simulate, design, and develop system-level solutions in regulated medical device industries and academic environments, with highly differentiated features : performance, power, cost, ease of use, etc.

Hands-on experience in wearable technologies, medical imaging technologies, electronics (e.g. fabrication, troubleshooting, schematic capture, PCB design), embedded software development (e.g. ARM, AVR), bioengineering, and computational biology/neuroscience.

10+ years of experience working with physiological signals, including acquisition, cleaning, and analysis of datasets, and developing signal processing and machine learning algorithms for data analysis.

Critical thinker and self-driven scientist with demonstrated records of publications.

EDUCATION

2019-2025 University of Wisconsin-Madison, Florida Atlantic University, USA (Ph.D. in Electrical Engineering), Ex- pected graduate date : April 2025, GPA 4.0

2015-2018 University of Tehran, Tehran, Iran (M.Sc. in Electrical Engineering Major : Circuits and Systems), GPA 4.0 2011-2015 University of Isfahan, Isfahan, Iran (B.Sc. in Biomedical Engineering), GPA 3.5

PROFESSIONAL EXPERIENCES

Current Neurotechnology Research Scientist, UW-Madison (Anderson Laboratory), Madison, WI 2020 SystemsBiology:Proposedanovelneurogliovascularmodelaccuratelylinkingbrainactivitytoblood flow dynamics, with transformative applications in neurotechnology and healthcare.

Bioengineering : Engineered a 3D artificial cerebral vasculature model to provide scientific evidence and justifications for experimentally observed non-uniform blood flow distribution across cortical depths.

Systems Biology : Proposed a novel cellular model describing the spontaneous oscillations in brain vessels, functioning as a natural oscillator in the brain.

Data Science : Conducted image processing and statistical analysis of biological data, including mi- croscopy images, omics datasets, and neuroimaging data from live mice. MATLAB Python R Fiji Java Pandas OOP NumPy SciPy Scikit-learn Keras PyTorch Data Analysis Algorithm Development Visualization Parallel Computing current Electrical Engineering Researcher, Florida Atlantic University, Remote, FL 2019 MachineLearningEngineering:Appliedstatisticstoengineerabrain-inspiredmachinelearningalgo- rithm for intelligent data acquisition, implemented in tomography as the Optimal Tomography Scan- ner.

Neurotechnology Engineering : Developed optical and electrical systems for rodent brain signal ac- quisition and real-time processing, and designed algorithms for advanced data analysis. Optical system design Image/signal processing Matlab Lab View Python C++ Convex optimization Estimation theory Supervised-Learning UnsupervisedLearning 3D reconstruction Segmentation System calibration Neuroimaging Neuromodulation Brain Imaging technologies 2019 R&D Engineer, Algorithm Group, Medical Device Development, Saadat Company, Iran 2016 Re-designed non-invasive blood pressure (NIBP) module, reducing production costs by about 50% and improving product measurement accuracy. This module is implemented across a variety of pa- tient care monitors manufactured by the company.

Developed portable hospital-grade blood pressure measurement system, currently manufactured and in use.

Contributed to the design of a wearable vital sign monitor, a globally distributed product. Biosensor interfacing signal conditioning schematic and PCB design Altium Designer ARM AVR I2C SPI ADC WiFi User interface LCD Algorithm development MATLAB C/C++ Simulink Embedded systems design Cost optimization Modular systems architecture Fault Management Design Hardware debugging Pre-manufacturing testing Troubleshooting Documentation Version control Power management circuits EMI/EMC Medical device standards (IEC 60601) ECG pulse oximetry NIBP Vital sign monitor JANUARY 7, 2025 HADI ESFANDI - RESUME 1

2016 Graduate assistant, IC design Lab, University of Tehran, Iran 2015 Designed hardware and embedded software for biosensor interfacing in biomedical applications.

M.Sc. thesis : Designedandimplementedanon-invasive,multi-wavelengthpulseco-oximeter tomea- sure various forms of hemoglobin in the blood.

Teaching Assistant for two graduate-level courses : Data Converters and Radio Frequency Integrated Circuit Design.

Schematic and PCB design Hardware prototyping and Debugging Utilizing lab equipments Altium Designer Bio-instrumentation Biomedical signal processing IC design HSPICE LTspice Analog and Mixed-Signal Design ADS (Advanced Design System) HSPICE MEMS COMSOL FPGAs AVLSI Semiconductor CMOS Silicon Oscillator/Phase-Locked Loop Power Amplifier Low-Noise Amplifier Mixer Matching Networks Antenna Interface

SELECTED PROJECTS

DISCRETE CIRCUIT AND SYSTEMS DESIGN

Designed and developed a battery charging circuit compliant with medical device safety standards, featuring electrical isolation, thermal protection, and ensuring safe operation.

DevelopedPCBlayoutsforawearableECGdevice,utilizingseparategroundplanestominimizenoiseandmaintainsignal integrity.

Implemented and tested various LCD options during the development of a wearablemedicaldevice,optimizing for mass production by balancing low power consumption with high image quality.

Developed failuremanagementalgorithmswhereanAVRmicrocontrollercomplementedtheARMcontrollerduringfault conditions, ensuring patient safety by preventing undesirable outcomes such as excessive inflation of the NIBP cuff.

Contributed to the design and implementation of a structured light 3D scanner for dental applications (Jan 2016–Aug 2018). The project was sponsored by the Iranian Dental Association. INTEGRATED CIRCUIT DESIGN

Design and Simulation of a 24-bit, 48kHz, Delta-Sigma ADC.

Design and Simulation of a Power Optimized 10-bit 35MS/s Pipeline ADC.

Design and simulation of a Fringe-Field MEMS Accelerometer.

Design and Optimization of CMOS Ring Oscillators for High-Frequency Applications. MACHINE LEARNING AND AI

Deep Learning Image Classification : Built and trained a ConvNet in TensorFlow for animal image classification by im- plementing convolutional and pooling layers in NumPy, including both forward and backward propagation.

Ancestries Classification : Trained a lasso-penalized multinomial regression classifier to predict five ancestries (African, European, East Asian, Oceanian, and Native American) and predicted ancestry for individuals with unknown ancestry.

ConvNet Vessel Segmentation : Implemented a 3D CNN segmentation method with essential pre- and post-processing steps to fully automate the vascular segmentation of 3D in-vivo Multi-Photon Microscopy images of murine brain vascu- lature using TensorFlow.

LEADERSHIP AND HONORS

“Computational Brain Science and Health Graduate Fellowship” by the Stiles-Nicholson Brain Institute, 2023.

University of Wisconsin Outstanding Student, Chan- cellor Award, October 2020.

Awarded direct admission to the Ph.D. program in Electrical Engineering at the University of Tehran, bypassing the national entry exam due to exceptio- nal academic performance.

Ranked 1st among M. Sc. students in Major of Cir- cuits and Systems, Class of 2015.

Valedictorian of the 2011 BSc in Biomedical Engi- neering cohort.

ReviewedmanuscriptsfortheIEEEJournalofTrans-

lational Engineering in Health Medicine

Ranked inthetop0.2%inNationwideB.Sc. Entrance

Examination, 2011

PUBLICATIONS

Esfandi, H., Javidan, M., Anderson, R., and Pashaie, R. (2024). Depth-dependent contributions of various vascular zones to cerebral autoregulation and functional hyperemia : An in-silico analysis. PLOS ONE. (Under minor revision. Preprint available on bioRxiv).

Esfandi, H., Javidan, M., Anderson, R., and Pashaie, R. (2024). Systems Biology Analysis of Vasodynamics in Mouse Cerebral Arterioles During Resting State and Functional Hyperemia. (Submitted to eLife. Preprint available upon request).

Javidan, M., Esfandi, H., Anderson, R. and Pashaie, R., 2023. Optimal data acquisition in tomography. JOSA A, 40(12), pp.2259- 2276.

Esfandi, H., Javidan, M., and Pashaie, R., 2021. Optimization of data acquisition operation in optical tomography based on estimation theory. Biomedical optics express, 12(9), pp.5670-5690.

Javidan, M., Esfandi, H. and Pashaie, R., 2021, November. Optimal Scanning Protocol for Optical Tomography. In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine Biology Society (EMBC) (pp. 3986-3989). IEEE.

Javidan, M., Esfandi, H. and Pashaie, R., 2023, March. Optimal tomography of dynamically evolving objects using machine learning algorithms. In Optical Tomography and Spectroscopy of Tissue XV (Vol. 12376, pp. 88-92). SPIE. JANUARY 7, 2025 HADI ESFANDI - RESUME 2

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