Formal methods are often dismissed as too rigid, complex, or unscalable for frontier language model systems (e.g., LLMs, VLMs, agentic systems). In this talk, I will challenge this assumption with […]
End-group functionalization has become a powerful and versatile strategy in polymer science, enabling precise control over physical properties, nanoscale self-assembly, and interfacial functionality without modifying the polymer backbone. In our […]
Compliant mechanisms have been the subject of intense research in recent decades. Making compliant mechanisms “smart” to form flexible, adaptive structures is the focus of my research group, with applications […]
Convex optimization has emerged as useful tool for applications that include data analysis and model fitting, machine learning and statistics, resource allocation, engineering design, network design and optimization, finance, and […]
Rubbery polymer networks, including elastomers and hydrogels, are increasingly employed in advanced applications such as biomedical implants, drug delivery systems, and smart sensors and actuators. Their macroscopic mechanical properties, such […]
This event will be in-person ONLY in Wu and Chen Auditorium. ABSTRACT With increasing availability of data in various forms from images, audio, video, 3D models, motion capture, simulation results, […]
Engineering Leadership in a World of Accelerating Change Engineering bridges science and technology, driving innovation for the benefit of people and society. Today we live in an increasingly technology-dependent world […]
This event will be in-person ONLY in Wu and Chen Auditorium. ABSTRACT A hallmark of human vision is the ability to reason about the physics of the world: we can […]
Abstract: Stochastic Reaction-Diffusion-Dynamics Model (SRDDM) for particle-based simulations of mechanochemical processes for thermodynamically large systems with high spatial and temporal resolution will be presented. The SRDDM couples the spatially inhomogeneous […]
Abstract: Data-driven reduced-order models often struggle with high-dimensional nonlinear systems sensitive to low-variance coordinates, which are typically truncated. To address this, we use ideas from balanced truncation and active subspaces […]