Interdisciplinary AI Journal Club | LSU College of Science

Phys&Astro + Math + Computer Science

 

Welcome to the LSU AI Journal Club (AI JC), a vibrant interdisciplinary community where the Physics and Astronomy Department, the Department of Mathematics, and the Computer Science Department come together to explore the transformative potential of Artificial Intelligence in scientific data analysis. This journal club is dedicated to fostering collaboration, innovation, and learning.

Whether you are a seasoned researcher or new to the field, AI JC provides a platform to explore the latest AI trends, discuss groundbreaking papers, and expand your knowledge through engaging discussions and presentations. Join us to learn, share, and contribute to the dynamic world of AI in science. 

New! Spring 2026 Semester: Hands-on collaborative ML data Project! 

This semester, we are trying a new format for the AI Journal Club.
We have selected an overarching theme that bridges Mathematics and Physics—partial differential equations (PDEs) and machine learning. Together, we will explore how machine-learning techniques can be used to approach PDE-based problems, discussing both the theoretical foundations and practical strategies. Participants will work in interdisciplinary groups to apply these methods to real, scientifically relevant problems of shared interest.

Location

Nicholson Hall, Room 335

Access the live streaming on Zoom (Link will be shared soon)

Calendar 

All appointments for Spring semester 2026  will be on Friday at 10:00-11:00 AM. 

Click the semester you’d like to expand to view the expected schedule.

When Activities Post Meeting Notes and Agenda
Jan 23 Intro to PDEs and ML Discuss and define activities
Jan 30 Intro to PDEs and ML Discuss and define activities
Feb 6 TBD  
Feb 13 TBD  
Feb 20 TBD  
Feb 27 TBD  
... ... ...

When Activities Post Meeting Notes and Agenda

Sep 11

  • Kick off / Intro
  • Selection of a Data Challenge / Project
  • Set-up of GitHub repo
 

Sep 25

  • Read the data and inspect the dataset
  • discuss the initial NN design
 

Oct 9

 

Oct 23

Collaborative Session

  • Implemented the DataLoader class
 

Nov 6

Collaborative Session

  • Implemented the LeNet architecture
  • Defined the accuracy monitor (to monitor loss and accuracy through the epochs)
 

Nov 20

Collaborative Session

  • Final results reported in the repo's README
  • Discussed next semester's activity
 

When Activities Discussion topics
Jan 23 Kick off JC + Invited seminar Icebreaker / (tentative: Variational Autoencoders)
Feb 6 Regular AI-JC 
Feb 20 Regular AI-JC / Invited seminar
Mar 6 Invited seminar Physics-informed NN (by Noah Thompson, LSU)
Mar 20 Regular AI-JC / Invited seminar
Apr 3 Invited seminar Machine Learning for Optical Communications and Technology (by Manon Bart Tulane University)
Apr 17 Invited seminar Seminar on Topological Deep Learning
May 1 Regular AI-JC / 

Learning from labeled and unlabeled data with label propagation.  

Scikit-Learn package

When Activities Discussed Topics
September 11  Canceled (Hurricane) --
September 25  Kick off JC  Icebreaker topics: why do we care about AI
October 9 Invited Seminar
  • Presentation by James Ghawaly: An overview of ML techniques for data analysis
October 23 Regular AI-JC
November 6 Regular AI-JC
November 20 Invited Seminars and Discussion

 

 

Contact the mailing list

To post to the AI-JC list, send your message to ai-club@mail.cct.lsu.edu

To subscribe to this mailing list follow the quick link in the side menu.

The AI-JC Organizing Team

Michela Negro -- Physics & Astronomy

Marta Missiaggia -- Physics & Astronomy

James Ghawaly -- Computer Science

Xiaoliang Wan -- Mathematics

Shawn Walker -- Mathematics

Maganizo Kapita – Mathematics (Grad Student)

Chakradhar Rangi -- Physics & Astronomy (Grad Student)

Phong Dang -- Physics & Astronomy (Grad Student)