Arman Aghaee Email & Phone Number

Toronto, ON, CA

Toronto, Ontario, Canada

• Cardiovascular Imaging, Modeling & Biomechanics Lab (CIMBL)
• Designing novel deep physics-informed neural networks to simulate the blood flow, leveraging less than 1% of known point velocity profiles across entire subject geometries.
• Enhancing neural network non-linearity through methodologies such as adding Fourier feature to the architecture, designing novel input data introduction strategies, forcing equal cooperation of multiple loss functions.
• process, etc., to simulate more complex velocity profiles within abnormal cases to assess biomechanical stresses more accurately.
• Validating proposed methodologies across a spectrum of cases, from synthetic pipes to patient-specific cases with various degrees of abnormality.
• Writing journal papers and conference abstracts, helping in writing grants, and peer-reviewing articles.

Toronto, Ontario, Canada

Electrical Circuit Analysis (ELE202)-W & S 2022-2023-2024Machine Learning (DS8002)-F 2023Digital Systems (EES508)-F 2023Elec Machines and Actuators (EES612)-F 2022-2023Advanced Computer Architectures (COE818)-W 2023Electric Circuits (EES512)-W 2023Managerial Decision Making (ITM107)-F 2023Signals and Systems 1 (ELE532)-F 2023

Tehran, Tehran Province, Iran

• Leading the designing and programming team focused on developing automated security camera systems and advanced biometric access control solutions for smart home projects.
• Contributed to the design and installation of smart home products, encompassing a wide range of functionalities.
• Conducted testing, repair, and maintenance of electronic devices utilized within the company's projects, ensuring optimal performance and reliability.
• Delivered comprehensive training services and technical support to smart homeowners, both through online platforms and in-person interactions, enhancing their understanding and utilization of advanced home automation.

Tehran, Iran

• Developed and deployed Recurrent Deep Neural Networks (RNNs) to forecast abrupt trend shifts in financial trading markets, culminating in a successful product that was sold to a well-known brokerage.
• Created a customized software tool for web scraping and aggregating financial data and news, enabling the identification and prediction of potential stock market crises.
• Implemented advanced algorithms for medical image processing, specifically targeting the segmentation of abnormal tissues within extensive brain CT image datasets, thus facilitating the creation of labeled training.

Tehran

Medical Image Analysis and Processing–W 2019Medical Imaging Systems-W 2019Neural Modeling-F 2019

Doctor Of Philosophy - Phd, Biomedical/Medical Engineering, 4.33/4.33

Thesis: “Physics-Informed Neural Networks to Enhance Medical Imaging” Advisor: Owais Khan, PhD

Msc, Electrical Engineering/Bioelectric, 4/4

Thesis: “Real-time Trend Forcasting of Highly Noisy Signals Using Deep Recurrent LSTM Networks.” Advisor: Prof. Bijan Vosoughi Vahdat

Bachelor Of Engineering - Be, Electrical And Electronics Engineering

Thesis: “Designing and Implementing Motion Detection Cameras Using Image Processing on Raspberry Pi 3.” Advisor: Hadi Delavari, PhD