Bio
Hi! I’m Mohammad Amin, a recent graduate from the University of Tehran with a master’s degree in mechanical engineering.
My research interests include optimizing lattice mechanical structures, applying machine learning in engineering, and using generative AI for the inverse design of mechanical structures. I’d rather be called “Nima” as I go by this among my friends!
I’m passionate about using my knowledge to make a positive impact on society. In the future, I’d like to be committed to a Ph.D. in computer science or an interdisciplinary field involving machine learning, since this greatly impacts human lives. I’d like to have my own contributions.
When I’m not working on my research, I enjoy playing chess on chess.com, reading Tim Urban’s blog, or listening to Lex Fridman’s podcasts.
On this site, you’ll find a list of my publications, notable projects, my CV, and a simple blog where I share my thoughts on computer science, life, and self-improvement.
Selected Projects
Publications
Multi Objective Optimization of a Bio-Inspired Structure in Non-Pneumatic Tires (Under Review). Faraji, M.A, Shaban, M, Mazaheri, H. 2024. Advances in Engineering Software.
Stacked Ensemble Regression Model for Prediction of Furan. (https://doi.org/10.3390/en16227656). Faraji, M.A, Shooshtari, A, El-hag, A. 2023. Energies, MDPI.
Investigation on the characteristics of a Non-Pneumatic tire with different spoke shapes. (Link) Faraji, M.A, Daneshmehr, A.R. 2022. The 30th Annual International Conference of Iranian Society of Mechanical Engineers-ISME2022.
Computational study on a DAH auxetic structure manufactured by corrugated sheets. (Link) Faraji, M.A, Mazaheri, H. 2020. International Conference on Manufacturing Engineering at Tarbiat Modares University-ICME 2018.
GitHub Projects
Comprehensive Study on Feature Importance of Transformers Test Data:
Extracting feature importance of transformers test data and examining their dependencies.
This code is part of the MIT intro to deep learning course.
U.S. Patent Phrase to Phrase Matching:
My code for Kaggle’s NLP competition “U.S. Patent Phrase to Phrase Matching”.
It’s whole objective is a web deployment of a pen or a pencil classifier that is trained on the pictures from the internet.