About
I’m a first-year Master’s student at Data System Group, within the Cheriton School of Computer Science at the University of Waterloo, where I’m fortunate to be supervised by Prof. Xi He. I’m also a graduate researcher at Vector Institiute.
Before starting my Master’s, I worked as a research assistant and completed an internship at Institute of Institute For Research In Fundamental Sciences (IPM), under the supervision of Prof. Dara Rahmati. I earned my Bachelor’s degree in Computer Science from Shahid Beheshti University in 2023.
I am currently focusing on generative modeling and synthetic data for multi-relational tabular systems, aiming to build high-fidelity, privacy-aware AI solutions for real-world applications. Previously, I contributed to projects in federated learning for medical imaging, multi-modal emotion recognition, and autonomous driving perception, resulted in multiple publications. Beyond research, I enjoy building real-world AI systems, from anomaly detection frameworks for real-time cloud streams to Android apps and recommender systems. I’m passionate about applying cutting-edge AI techniques to solve practical problems at scale.
I’m always excited to connect, exchange ideas, and collaborate on meaningful projects—feel free to reach out!
Publications
Feature extraction and deep learning, Abtin Mahyar, Hossein Motamednia, Pooryaa Cheraaqee, Azadeh Mansouri, Dimensionality Reduction in Machine Learning, pp. 211-243. Morgan Kaufmann.
Cultural-Aware AI Model for Emotion Recognition, Mehrdad Baradaran, Payam Zohari, Abtin Mahyar, Hossein Motamednia, Dara Rahmati, Saeid Gorgin, IEEE International Machine Vision and Image Processing Conference (MVIP), 2024. Code
Brain age estimation using structural MRI: a clustered federated learning approach, Seyyed Saeid Cheshmi, Abtin Mahyar, Anita Soroush, Zahra Rezvani, Bahar Farahani, IEEE International Conference on Omni-layer Intelligent Systems (COINS), 2023. Code