Alireza Mostafavi Email & Phone Number

Markham, Ontario, Canada

Winnipeg, Manitoba, Canada

Designing a deep artificial neural network for active sound noise cancellation/control. The designed network is a new deep convolutional recurrent neural network for active noise cancellation, which consists of a series of new encoder units to extract effective multiscale features from the one-dimensional (1-D) time series input data, two stacked LSTM units which serve as a brain of the network to extract temporal behaviors of noises and predict future anti-noise samples to consider any sort of time delays in the processing, a series of new decoder units to map the feature space to the destructive canceling signal with the same size as the input noise, and skipped connections after each encoder unit with attention module is also employed to keep low-level features, ensure feature reusability, and intelligently select and exploit the effective feature maps.

Winnipeg, Manitoba, Canada

Developing monocular structural damage detection, segmentation, and depth estimation framework using deep Convolutional Neural Networks and RGB images.

Tehran, Iran

Development of smart gadgets for fault detection in rotating machines using artificial intelligence algorithms at Smart Electromechanical Energy Conversion Systems Lab | Dr. Ali Sadighi• Implemented an experimental setup with a high-fidelity data acquisition system to acquire acceleration signals from rotating machines.• Applied advanced digital signal processing techniques in C++ programming to extract meaningful features from the acquired signals, resulting in improved fault detection accuracy.• Designed and trained a Deep Autoencoder using MATLAB and Python programming for real-time fault detection of rotating machines, achieving state-of-the-art performance.• Engineered a compact, stand-alone device by implementing the AI algorithm on resource-constrained ARM Cortex microcontrollers and incorporating an intuitive graphical user interface using C programming.• Constructed a compact device enclosure using SOLIDWORKS software and 3D printing technology, resulting in a functional and aesthetically pleasing design.• Conducted extensive real-world testing, analyzing, troubleshooting, and modifying the device and code to ensure optimal performance and reliability.

Tehran, Tehran Province, Iran

Design, simulation, and implementation of an Energy Harvesting Backpack, Dr. Zakerzadeh• Utilized MATLAB and Simulink to simulate and optimize the dynamic behavior of a suspended-load energy harvesting backpack using a genetic algorithm optimization approach.• Crafted a functional prototype of the optimized backpack design using SOLIDWORKS software, with components manufactured using precision CNC and laser cutting machines.• Designed a real-time wireless data acquisition device using an Arduino microcontroller, allowing for monitoring and analysis of energy harvesting performance in real-time.• Conducted comprehensive testing and verification of the design to validate its performance, documenting the results to provide a clear and thorough understanding of the backpack's capabilities.

Dynamics I Presented by Dr. Zakerzadeh, Winter 2018

Design and implementation of Piezoelectric pump and fan | Dr. EbrahimiActed as a valuable team member in a team of 10 B.Sc., M.Sc., and Ph.D. students to design, prototype, and test precision biomedical piezoelectric pumps.

Tehran, Iran

Contributed to a collaborative project with engineers at Iran Khodro Industrial Group to enhance the efficiency of automobile gearboxes, playing an active role in driving progress and delivering results.

Master Of Science - Msc, Advanced Structural Health Monitoring

Bachelor'S Degree, Mechanical Engineering, 18.56