Self-sensing actuators provide a compelling approach to designing compact robotic systems by integrating sensing capabilities directly into the actuator, eliminating the need for external sensors. This presentation, titled "Leveraging Impedance […]
Abstract: Eukaryotic cells orchestrate cellular processes through spatiotemporal organization achieved by compartmentalization. Biomolecular condensates, formed via liquid-liquid phase separation (LLPS), serve as vital hubs for enzymatic reactions and mediate cellular […]
The study of electromagnetic wave interactions with various media is of fundamental significance in both theoretical and applied sciences. Understanding how electromagnetic waves propagate, reflect, refract, and scatter when encountering […]
Polymer nanocomposite (PNC) films are of interest for many applications including electronics, energy storage, and advanced coatings. In phase-separating PNCs, the interplay between thermodynamic and kinetic factors governs the assembly […]
Abstract: I will survey recent results describing the application of modern non-convex optimization methods to the problems of reconstruction attacks on private datasets (the “poison”), and the algorithmic generation of […]
Biological signaling in the mammalian nervous system spans a dizzying range of spatial and temporal scales. To understand how cellular and molecular signals contribute to physiology and behavior and to […]
Liquid crystal elastomers (LCEs) exhibit complex thermomechanical behaviors that can be harnessed for a wide variety of applications in soft robotics, biomedical devices, and impact protection. The material comprises stiff […]
Abstract: Artificial intelligence holds enormous promise to automate our life. At the same time, AI systems can be incredibly brittle, unreliable, and biased. In this talk, I will present a few […]
Abstract: Immunotherapies have achieved remarkable success in treating hematological cancers, yet the solid tumor microenvironment remains a significant barrier to therapeutic breakthroughs. Machine learning (ML)-driven computational protein design offers a […]
The electric grid is undergoing a transformative paradigm shift, driven by sweeping changes in generation, demand, and energy storage. By 2035, solar PV alone is expected to supply 40% of […]
