Seminars

Seminars are held Wednesdays, at 3:30 pm, in person, at Seaver Science Library, Room 202 (SSL 202) and/or as Zoom webinars unless unless a different time or location is listed in the seminar announcement.

Archive of Seminar Announcements:

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Keynote Lecture Series Archive

Fall, 2026

Reconstruction of Left Ventricular Pressure Using Cardiovascular Mechanics

Coskun Bilgi

Postdoctoral Researcher
Department of Aerospace & Mechanical Engineering
University of Southern California
Los Angeles, CA

Left ventricular (LV) pressure is a fundamental quantity that provides a direct window into the mechanics and energetic performance of the heart. However, LV pressure is typically measured through invasive cardiac catheterization, limiting its accessibility for routine and longitudinal assessment. This talk will present our efforts to reconstruct the LV pressure waveform noninvasively using a physics-based approach. The cardiac cycle consists of physiologically distinct phases. Rather than describing the entire pressure waveform using a single empirical function, our framework identifies key physiological time instances throughout the cardiac cycle and reconstructs the pressure between them using principles of fluid and solid mechanics. By coupling these phase-specific descriptions through physiological conditions, a continuous LV pressure waveform can be reconstructed and clinically important hemodynamic indices can be estimated without direct ventricular catheterization. We will discuss the development of this framework and its evaluation across both human and preclinical studies. In retrospective human data, reconstructed LV pressure and pressure-derived indices differentiated healthy individuals from patients with heart failure. In preclinical experiments with simultaneous invasive pressure measurements, the method accurately reproduced important hemodynamic metrics across varying cardiac conditions. Together, these studies demonstrate how combining cardiovascular physiology with fundamental mechanics represents a promising step toward the noninvasive diagnosis and monitoring of cardiovascular conditions.

Coskun Bilgi is a postdoctoral researcher in the Department of Aerospace and Mechanical Engineering at the University of Southern California. He earned his Ph.D. in Aerospace and Mechanical Engineering from USC under the supervision of Professor Niema Pahlevan and is continuing his postdoctoral research with him. Prior to USC, he received both his M.S. and B.S. degrees in Mechanical Engineering from Bogazici University. His research focuses on cardiovascular mechanics, with an emphasis on developing physics- and mechanics-based methods for noninvasive assessment of cardiac function and hemodynamics.

Wednesday, September 2, 2026
3:30 PM
Seaver Science Library, Room 202 (SSL 202)

 


 

From Surrogates to Solvers: Physics-Embedded Vision Transformers and Foundation Models in Mechanics

Benjamin A. Jasperson

Postdoctoral Scholar
Department of Aerospace & Mechanical Engineering
University of Southern California
Los Angeles, CA

Accurately predicting the behavior of advanced mechanical systems and materials requires capturing complex multiscale phenomena and rare events. While classical numerical methods offer high fidelity, their immense computational costs, especially when bridging disparate scales, often bottleneck the research and design cycle. Artificial intelligence provides a fast, compelling alternative, yet transitioning these tools from black-box data surrogates to rigorous, physics-aware solvers remains a critical challenge.

This talk explores the intersection of solid mechanics and interpretable AI, focusing on strategies to combine the guarantees of traditional solvers with the speed of deep learning. We will examine Vision Transformers (ViTs) as foundational architectures, specifically evaluating their accuracy, numerical stability, and overall performance when applied to continuum mechanics compared to classical methods.

Moving beyond standard surrogate modeling, we will tackle the unique computational challenge of predicting rare events, centered around understanding how unit mechanisms influence crack self-healing in metals. We will discuss how foundation models can map heterogeneous, multiscale materials data into a shared latent space, yielding frameworks that are highly descriptive and predictive of these highly localized phenomena. Finally, we will conclude with a broader vision for the future of AI-embedded computational mechanics.

Benjamin A. Jasperson is a Postdoctoral Scholar at the University of Southern California. His research sits at the intersection of computational mechanics, materials science, and artificial intelligence. Dr. Jasperson brings over a decade of industrial R&D experience to his academic work; he served as a Lead Mechanical Design Engineer on development projects ranging from high-yield neutron sources to medical devices. He holds a Ph.D. in Theoretical & Applied Mechanics from the University of Illinois Urbana-Champaign and is a licensed Professional Engineer.

Wednesday, September 2, 2026
3:30 PM
Seaver Science Library, Room 202 (SSL 202)

 

host: Xu

Published on August 2nd, 2017Last updated on August 27th, 2026