Amin Mahmoudabad

Education

Ph.D. in Mechanical Engineering (2022), Northeastern University
M.Eng. in Mechanical Engineering (2019), Rutgers University
M.Sc. in Mechanical Engineering (2018), Sharif University of Technology
B.Sc. in Mechanical Engineering (2016), K. N. Toosi University of Technology

Dr. Mohammadamin Mahmoudabadbozchelou holds a Ph.D. in applied machine learning with a strong foundation in solving intricate mechanical engineering problems through innovative data-driven methodologies. His academic journey was dedicated to pioneering research that harnessed machine learning algorithms to address various problems in mechanical engineering.

During his doctoral studies, Mohammadamin specialized in leveraging physics-based machine learning techniques to tackle complex rheological problems. His impactful research culminated in the publication of seven papers in prestigious journals, establishing him as a trailblazer in the development of rheology-informed Neural Networks.

Having graduated in December 2022, Mohammadamin now serves as a Senior Engineer in software and machine learning at Aspen Technology. In this role, he focuses on the advancement of machine learning models that adhere to mechanical and chemical constraints within Aspen’s software, contributing significantly to the evolution of cutting-edge technologies in this domain.

Publications

Entropy analysis and thermal optimization of nanofluid impinging jet using artificial neural network and genetic algorithm

Mohammadamin Mahmoudabadbozchelou, Amirsaman Eghtesad, Safa Jamali, Hossein Afshin

International Communications in Heat and Mass Transfer · 2020

Machine Learning

Rheology-Informed Neural Networks (RhINNs) for forward and inverse metamodelling of complex fluids

Mohammadamin Mahmoudabadbozchelou, Safa Jamali

Scientific Reports · 2021

Machine Learning

nn-PINNs: Non-Newtonian physics-informed neural networks for complex fluid modeling

Mohammadamin Mahmoudabadbozchelou, George Em. Karniadakis, Safa Jamali

Soft Matter · 2022