Predictive Science Laboratory

About Us

We are a research laboratory at the School of Mechanical Engineering of Purdue University, founded in 2014 by Dr. Ilias Bilionis.

Mission

Our mission is to develop scientific machine learning technologies to accelerate engineering innovation.

Philosophy

We operate at the intersection of mathematics, statistics, and engineering, facilitating communication between these disciplines by employing Bayesian probability and an additional layer of causality expressed through differential equations.

Basic Research Areas

Current Projects

Funding

Our funding comes from NSF, NASA, DARPA, AFRL, Eli Lilly, Cummins, and Ford.

Teaching

Bilionis loves teaching scientific machine learning, probabilistic thinking, and uncertainty quantification to engineers. Some examples are these:

People

Ilias Bilionis

Ilias Bilionis

Associate Professor of Mechanical Engineering

Purdue University

ibilion@purdue.edu

Google Scholar

CV

Short bio

Personal GitHub profile

Lab GitHub

Akshay Jacob Thomas

Akshay Jacob Thomas

Postdoctoral Researcher

Bayesian inverse problems, Physics informed neural networks, Digital twins for advanced manufacturing

Google Scholar

Linkedin

Alexander Alberts

Alexander Alberts

Postdoctoral Researcher

Physics-informed, information field theory

Kairui Hao

Kairui Hao

Postdoctoral Researcher

Physics-informed, information field theory for dynamical systems

Atharva Hans

Atharva Hans

Postdoctoral Researcher

Superresolution of 4D flow MRI using information field theory

hans1@purdue.edu

Google Scholar

Personal GitHub profile

Andres Felipe Beltran-Pulido

Andrés Felipe Beltrán-Pulido

Ph.D. Student

Purdue University

beltranp@purdue.edu

Electric machine design optimization using physics informed neural networks

Google Scholar

Personal GitHub profile

Rudra Sethu

Rudra Sethu Viji

Ph.D. Student

Information field theory for fluid flow reconstruction from non-intrusive flow measurements

Sreehari Manikkan

Sreehari Manikkan

Ph.D. Student

Digital twins for smart buildings

Wesley Holt

Wesley Holt

Ph.D. Student

Information field theory

Shrenik Zinage Vijaykumar

Shrenik Vijaykumar Zinage

Ph.D. Student

Emissions modeling

szinage@purdue.edu

Google Scholar

ResearchGate

LinkedIn

GitHub

Maxwell Bolt

Maxwell Bolt

Ph.D. Student

Emissions modeling

Linkedin

For a list of former members, please visit the PSL website.

How to join the group?

We are continuously looking for qualified people to join the group. If you are interested in working with us, please send me an email with your CV and a brief description of your research interests. I will get back to you as soon as possible.

About this website

This website was made in plain html with the help of ChatGPT. If you want to have fun, you can see the log of our conversation here. It was last updated on September 17, 2024.