Biomedical engineer

Amir Farjadian

******@***.*** 617-***-**** Boston, MA, 02215

Career Interests

Creating Novel Medical Devices to Promote Health, Wellness and Fitness Education

PhD, Bioengineering, Bioengineering Dep., Northeastern University, Boston, MA May 2015 o Dissertation: 2-DOF Ankle and Balance Training Robot

MSc, Biomedical Engineering, ECE Dep., Iran University of Science & Technology, Iran Jun 2006 o Thesis: Muscle Stimulator for Standing and Walking in Paraplegia

BSc, Biomedical Engineering, ECE Dep., Azad University, Iran Aug 2003 o Thesis: Automated Breath Monitoring to Detect Apnea Proficiency and Technical Skills

Electromechanical Design, Prototyping, Data Acquisition

Bio-Signal Processing, Nonlinear System Modeling and Control, Artificial Intelligence, and Machine Learning

Analog and Digital Circuit Design, Schematic & PCB Design, Soldering and Maintenance

MATLAB & Simulink, LabVIEW, C++, Altium Designer, PSPICE, Maple, Mathematica Patents and Publications

3 Patent applications, and

More than 10 Engineering/Scientific Journal/Conference Papers Awards

Best Student Paper, 2013 Conference of Computational Intelligence and Intelligent Systems, London, UK

Senior Capstone Design Award for Most Complete Solution, MIE Dep., Northeastern University, Fall 2014

Senior Capstone Design Award for Biggest Impact, MIE Dep., Northeastern University, Fall 2013

1st Prize - $1000 Winner, Massachusetts Life Science Innovation day, Mass Tech-Transfer, Boston, MA, 2013

Greatest Entrepreneurial Potential, $5000 Cash Award, RISE expo 2014, Northeastern University, 2014

Greatest Entrepreneurial Potential, $5000 Cash Award, RISE expo 2013, Northeastern University, 2013

University Excellency Fellowship, $5000 Annual Fellowship, Provost Office, Northeastern University, 2010-15

Ranked 1 in Mathematics, PhD Entrance Exam, University of Tehran, Tehran, Iran, 2008 Raised Grants

$40K MA Innovation Commercialization Seed Fund Award, Massachusetts Technology Transfer Center, 2015

$10K Gap Funding, Northeastern University's Venture Accelerator (IDEA), 2015

$10K Research Grant, Provost Office, Northeastern University, 2013-2014 Work and Research Experience

Postdoctoral Associate, MIT, Cambridge, MA Nov 2015-Now

Adaptive control in complex systems

Electrical and Control Circuits Designer, Nader Pardaz, Tehran, Iran 2002-2004

Developed multiple projects in design and development of industrial control circuits Highlight Research

Co-inventor on vi-RABT: Created a 2-DOF platform-based robotic trainer for ankle and balance exercise o Validated on human subjects for (range of motion and strength) assessment and rehabilitation training

SQUID: Utilized artificial intelligence to create an exercise monitoring and personal trainer o Monitored upper extremity exercise with EMG, heart rate, and motion data to provide fitness prompts

Parawalk: Developed a fuzzy-control-based portable muscle stimulator to restore function in disabled people o Experimentally tested on paraplegic patient on Standing Cycle; and a dropped-foot patient on Walking

Lead inventor on iVRACK: a smart pedal to measure cyclist’s workout equipped with virtual trainer o Instrumented a pedal with IMU/load cell; Measured pedal angle by advanced signal processing

Developed a portable apnea monitoring/detection system o Utilized piezoelectric sensor on the chest; Developed the electrical circuit to alert the user/ambient

Lead inventor/developer of Bike Beacon: Communication-based collision avoidance for cyclists-motorists o Designed and developed a microcontroller-based portable transponder for car and bicycles

Lead inventor on Smart Bike: a seamless machine vision technology for bicycles o Utilized ultrasound to monitor cyclist’s surrounding area; Provided alerting audio-visual-haptic prompts

Epilepsy control: Simulated an in-silico nonlinear robust controller to revert the epileptic activity back to normal o Applied robust control to a neural-mass model; Used power spectral density as a measure

Intelligent robust control: Utilized reinforcement learning to improve classic sliding mode control o Showed improved efficiency and robustness in tracking problem of the chaotic Lorenz plant

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