I am Armin Bonakdar, an Research Engineer at the Neuromuscular Control and Biomechanics Lab (NCBLab) at the University of Alberta. My work focuses on the design and validation of data-driven biomedical systems, combining biomechanics, biomedical measurement and instrumentation,
signal processing, and applied machine learning. I develop and validate supervised and deep learning models for multivariate sensor
data, and have practical experience with generative AI and large language model (LLM) workflows, including LangChain, Hugging Face
model integration, and retrieval-augmented generation (RAG), for health and MedTech applications.
- Research engineer working at the intersection of biomechanics, wearable sensing, and applied machine learning, focused on developing and validating data-driven systems for health and MedTech applications.
- At the Neuromuscular Control and Biomechanics Lab (University of Alberta), I design and implement end-to-end experimental and analytical pipelines using motion capture systems, inertial measurement units (IMUs), force platforms, and surface electromyography (EMG).
- My work emphasizes system-level integration, signal processing, feature engineering, and machine learning model development for classification, validation, and decision-support tasks, with practical experience in generative AI and large language model (LLM) workflows.
- I have hands-on experience with LangChain-based orchestration, Hugging Face model integration, and retrieval-augmented generation (RAG) pipelines to support AI-assisted data processing and analysis.
- I apply ISO 14971 and ISO 13485 principles at a conceptual and workflow level, with experience in risk identification, validation planning, and technical documentation within R&D projects.
- I collaborate in interdisciplinary teams to translate complex biomechanical and sensor data into interpretable, actionable outputs for applications in health, ergonomics, and assistive technologies.
Engineer Intern
EWIWorks Inc, Canada
A Comprehensive Validation of a Markerless Vision-Based Motion Capture Software against Marker-based System and Inertial Measurement Units
Read More
M.Sc. in Mechanical Engineering
University of Alberta
2022 - Present | Edmonton, Canada
GPA: 4.0/4.0
Skills: Mechatronics, Digital Signal Processing,
Biomechanics, System Dynamics, Machine Learning
