In this semester 2026 fall, I am one of the organizer(with Jelena Mojsilovic) of the Bridge to Research Seminar at Purdue math. The seminar is aimed at beginning graduate students for them to know more about the research of our faculty members.
Time: Monday 4:30 pm- 5:30 pm
Location: PHYS 111
Note: For students who take the seminar for credit, please maintain good attendance to receive a passing score.
Schedule:
October 5th, 2026: Prof. Guang Lin
Title: Towards Third Wave AI: Interpretable, Robust Trustworthy Machine Learning for Diverse Applications in Science and Engineering
Abstract: This talk aims to close the gap by developing new theories and scalable numerical algorithms for complex dynamical systems that can be realistically predicted and validated. We are creating new technologies that can be translated into more secure and reliable new trustworthy AI systems that can be deployed for real-time complex dynamical system prediction, surveillance, and applications to improve the stability and efficiency of complex dynamical systems. We will introduce new Neural Networks that learn functionals and nonlinear operators from functions with simultaneous uncertainty estimates.
November 2nd, 2026: Prof. Oleksander Tsymbaliuk
Title: to be determined
Abstract: to be determined
November 9th, 2026: Prof. Rongjie Lai
Title: to be determined
Abstract: to be determined
November 16th, 2026: Prof. Nung Kwan Yip
Title: to be determined
Abstract: to be determined
November 30th, 2026: Prof. Monica Torres
Title: to be determined
Abstract: to be determined
December 7th, 2026: Prof. Christopher Janjigian
Title: to be determined
Abstract: to be determined