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About Me

I am a second-year postdoctoral fellow at Center for Research and Education on Accessible Technology and Experiences (CREATE) at the University of Washington and passionate about improving the quality of life for individuals with disabilities through the power of engineering innovation.

Education

PhD in Mechanical Engineering

2016-2022

Northwestern University

MSc in Mechanical Engineer

2016-2019

Northwestern University

BSc in Mechanical Engineering

2012-2016

University of Washington

Scholarships, Fellowships, Awards

Advanced Rehabilitation Research Training (ARRT) Fellowship

2022-present

University of Washington

Walter P. Murphy Fellowship

2016-2017

Northwestern University

Precision Medicine Initiative Challenge

2017

3rd place

Student Research Award

2016

Dept of Mechanical Engineering, University of Washington

Levinson Emerging Scholar Award

2015-2016

University of Washington

Research Experiences for Undergraduates Fellow

2015

University of Washington

Best Poster Award

2015

Northwest Biomechanics Symposium

Mary Gates Research Scholarship

2015

University of Washington

C.E. Boucher Memorial Scholarship

2013-2015

University of Washington

Publications

How do people with limited movement personalize upper-body gestures? Considerations for design of personalized and accessible gesture interfaces

M Yamagami, AA Portnova-Fahreeva et al. ASSETS. 2023

AA Portnova-Fahreeva et al. Frontiers in Bioengineering and Biotechnologies. 2022

D Boe, AA Portnova-Fahreeva et al. Frontiers in Bioengineering and Biotechnologies. 2021

AA Portnova-Fahreeva et al. Frontiers in Bioengineering and Biotechnologies. 2020

Skills

Machine learning

Build and train neural network models using Tensorflow

Perform hyperparameter tuning

Rehabilitation measures

Apply a variety of rehabilitation outcome measures (quantitative, qualitative)

Human-centered design

Co-design assistive technologies with end-users

Co-create rehabilitation solutions with medical professionals

Data analysis

Perform data cleaning and preparation

Apply appropriate statistical methods

Simulation modeling

Simulate various virtual environments using Unity

Myoelectric device control

Facilitate control of devices and virtual objects

via muscle signals

Biosignal data collection

Collect kinematic signals  via bend sensors, motion capture, or image recognition

Collect myoelectric signals from the muscles

Fabrication

CAD modeling in Solidworks

3D printing (fused deposition modeling, vat polymerization)

3D scanning

Computer programming

C#

MATLAB

Python

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