Mohammadamin (Amin) Banayeeanzade
I am a second-year CS Ph.D. student at University of Southern California, supervised by Mohammad Rostami. Prior to USC, I received my Master's at computer engineering department of Sharif University of Technology under the supervision of Mahdieh Soleymani. Additionally, I got my B.Sc. in electrical engineering from the same university where I was jointly supervised by Mahdi Shabany and Zahra Kavehvash.
My research interests lie in the intersection of artificial general intelligence, cognitive sciences and neuro-symbolic systems. My ultimate research goal is to help the community push the borders of AI toward human-level capabilities, for which the intelligent agent has to overcome the practical difficulties it encounters in real-life problems, such as insufficient labeled datasets or the shift in the data distribution.
Publications
Generative vs. Discriminative: Rethinking The Meta-Continual Learning
M. Banayeeanzade, Rasoul Mirzaiezadeh, Hosein Hasani, Mahdieh Soleymani
NeurIPS, 2021
A Distinct Unsupervised Reference Model From The Environment Helps Continual Learning
A. Ameli, M. Banayeeanzade, Mahdi Samiei, Mahdieh Soleymani
arXiv, 2023
Other Projects
Automatic Detection of Objects Concealed Under Clothing in the Millimeter-Wave Images
Employing deep learning to detect, localize and unveal concealed objects at MMW body scanners.
Accomplished project as senior AI researcher at BasirWave Tech
Image Captioning & Comprehension using Attention Based RNNs
Course project for Deep Learning, Spring 2020
Automatic Speech Recognition using Attention-Based Neural Networks on the Persian Farsdot and the English Librispeech Datasets
Course project for Speech Processing, Spring 2020
Simulation and Investigation of Neural Population Dynamics with Brian Package
Course project for Neuroscience of Learning, Spring 2020
Explainability analysis of Deep Bayesian Neural Networks using XAI Techniques
Course project for Statistical Machine Learning, Spring 2021
