Biomedical Engineer | Data Scientist

Technical Skills: Python, SQL, C++, CUDA, MATLAB

Education

• MASc., Biomedical Engineering

  University of Ottawa

• BSc., Electrical Engineering

  Azad University of Tehran

Work Experience

Data Scietist @ Braebon (July 2025 - Feb 2026)

• Employed numerical optimization techniques to refine the core parameters of a biomedical estimation model, boosting its predictive performance by 20%.
• Created interactive dashboards using Streamlit to visualize model outputs based on data-driven performance metrics, improving stakeholder understanding and engagement.
• Develop and maintain a fully automated end-to-end data pipeline, integrating preprocessing, model inference, and visualization, reducing manual intervention by 15%.
• Applied hyperparameter tuning and cross-validation to improve model robustness and generalization by 10%.

Research Assistant @ University of Ottawa (Jan 2021 - June 2025)

• Developed a smartphone-based framework for remote healthcare applications, utilizing advanced machine learning algorithms to enhance real-time signal processing and monitoring capabilities.
• Engineered machine learning and deep learning models, including training and implementing deep learning and optimizing algorithms to model biomedical signals, enhancing the accuracy and reliability of health monitoring systems.
• Integrated CUDA into the framework, accelerating data and video processing tasks by leveraging GPU architecture to improve model deployment speed and resource efficiency.

Electrical Engineer @ Artman Smart Energy Solutions (June 2018 - Nov 2020)

• Designed and developed embedded systems for smart home management, creating seamless integration between devices and user interfaces.
• Implemented hardware and firmware solutions for the efficient operation of smart home devices, ensuring robust functionality and reliability.

Publications

1. M. H. Davoodabadi Farahani, M. Bolic, T. Zhang, T. Zadorsky, and R. Sabbagh, “Non-contact imaging of the neck for monitoring cardiopulmonary clinic patients,” School of Electrical Engineering and Computer Science, University of Ottawa, Ontario, Canada, Orleans Cardiopulmonary Group, Ottawa, Ontario, Canada,2025
2. Zhang, T., Bolic, M., Davoodabadi Farahani, M. H., Zadorsky, T., & Sabbagh, R. (2024). Non-contact heart rate and respiratory rate estimation from videos of the neck. In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 1–4). IEEE.
3. Farahani, M.H.D., Mohsen Khanmoahamdi, M. Lotfizad. Visual object tracking using sparse representation and interest points in a double-step approach. International of Journal of Computer Applications, August 2020
4. Maryam Hayati, Farahani, M.H.D., SAR image despeckling based on sparse representation and structural features of image patches, 1st scientific research conference on Mechanics, Electrical, and Computer Engineering, Baku. 2020
5. Farahani, M.H.D. and M. Lotfizad. Visual tracking via decision-based particle filtering based on sparse representation. 2018. SPIE
6. Mohamad Hosein Davoodabadi Farahani, Mojtaba Lotfizad, Visual target tracking using target’s memory template and corner points. 2016. 4th International Conference on Applied Research in Computer Engineering and Signal Processing.