About me
I’m a Computer Engineering graduate from Amirkabir University of Technology (AUT) in Iran. My interest in AI began during high school, where I was fascinated by its potential to transform the world. This passion led me to focus on AI throughout my studies at AUT, allowing me to gain a deep understanding of this growing field.
What makes my approach unique is that I don’t limit myself to one specific area of AI. I believe in exploring different concepts like Data Mining, Computer Vision, NLP and Trustworthy AI. This broader perspective helps me come up with new ideas and tackle a variety of challenges.
With a solid foundation in these areas, I’m always eager to continue learning and apply my skills to solve new problems in the AI landscape.
Main Research Interests
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Data Mining & Deep Learning
I am passionate about leveraging data mining and deep learning approaches to solve complex problems across various domains. My primary focus lies in applying these algorithms to time series data, gaining valuable insights from spatio-temporal patterns.
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Computer Vision
Working with images has always been one of my core interests, leading me to explore different computer vision tasks. I have completed several projects in areas such as Object Detection, Face Reconstruction, and Image Classification.
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Trustworthy AI
I am passionate about Trustworthy AI because it addresses the real-world challenges of deep learning models. My interests include tackling problems like out-of-domain generalization, adversarial attacks and defenses, and anomaly detection, especially in vision models.
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Human Computer Interaction
In addition to the software side, I found working with microcontrollers and sensors to be incredibly fascinating. In my first academic paper, we developed an end-to-end approach to detect Persian Sign Language glosses. I believe this area holds immense potential for advancing human-computer interaction.