NRT Seminar: Physics-Informed Machine Learning with Dr. Leixin Ma

We are excited to welcome Dr. Leixin Ma to our NRT Seminar Series for a research-focused discussion that sits at the cutting edge of engineering and artificial intelligence. Dr. Ma is an Assistant Professor in the School for Engineering of Matter, Transport and Energy at Arizona State University, and her work opens fascinating new possibilities for the future of medical device design.

Time: 12:30 – 1:30 PM

Location: ISTB4, Room 492, Tempe Campus

About Dr. Ma’s Research

Dr. Ma’s research focuses on physics-informed machine learning, fluid-structure interactions, and ML-aided design of programmable structures and robots. Her work integrates the physical laws that govern the behavior of materials and fluids with the power of machine learning, a combination that enables more accurate, reliable, and physically consistent computational models.

This approach has significant implications for medical device innovation. By ensuring that AI models respect the underlying physics of biological and mechanical systems, researchers can design safer, more effective, and more human-centered engineering solutions.

What to Expect

This session will follow a research-focused discussion format. Dr. Ma will share recent work from her research group, offer methodological insights, and discuss ongoing research directions, followed by an interactive Q&A with NRT students and faculty. The goal is to give our trainees a deep, substantive engagement with the kind of interdisciplinary research that defines the frontier of medical device engineering.

Join Us

We encourage all NRT students and faculty to attend this session. Whether your background is in mechanical, biomedical, or electrical engineering, Dr. Ma’s work offers perspectives and tools that are relevant across disciplines. We look forward to a rich and inspiring conversation on April 17th.