Events
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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 both theoretical insights and empirical evidence across various domains, including chatbots, autonomous driving, mathematical reasoning, code generation, and agentic AI. I will present a new set of efficient formal frameworks for […] |
3 events,
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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 group’s research, we have investigated (1) how tailored end groups affect intrinsic polymer characteristics such as thermal transitions, solubility, and crystallization behavior, and (2) how […]
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Understanding how the human brain evolved unique cognitive and social capabilities remains a central challenge in biology. My research examines how evolutionary changes in gene regulatory mechanisms shape neuronal function, plasticity, and disease risk. A defining feature of the human brain is its exceptional plasticity, enabling learning in response to environmental cues across a dramatically […] |
2 events,
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ABSTRACT The future of artificial intelligence calls for systems that can perceive, recreate, and generate multisensory experiences grounded in the physical world. As people move through dynamic environments—whether wearing AR glasses, riding in a car, or exploring virtual spaces—the line between perception and generation begins to blur. This talk will mainly examine how we can […] |
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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 ranging from medical devices to aerospace structures. This seminar will describe recent work on modeling and synthesis approaches for compliant mechanisms with both superelastic material […] |
1 event,
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Nearest neighbor search has a long history in theoretical computer science, and in the past decade has seen an explosion of usage. This has been primarily driven by embedding models that represent complex data—text, images, and video—as high-dimensional vectors, shining a new spotlight on vector retrieval. I'll discuss ongoing work with Ashwin Padaki and Sanjeev […] |
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This event will be in-person ONLY in Wu and Chen Auditorium. ABSTRACT Design is everywhere: high-performance turbines, polymers with outstanding material properties, unmanned aerial vehicles, metamaterials, or computer algorithms. However, the best designs are a product of tremendous work of high-skilled domain experts. I will show that we are on the verge of a transition […] |
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3 events,
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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 as stiffness, strength, and stretchability, are largely governed by network-level features, including polymer chain length distribution, crosslink density, and network heterogeneities and topological defects. Consequently, […]
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Abstract: Polymer materials show rich phase behavior that is difficult to predict because of their structural and interaction complexity. This work develops computational tools that improve both the efficiency and physical realism of polymer modeling. A deep-learning-accelerated SCFT method is introduced that predicts density fields directly from mean-field potentials, effectively replacing the expensive propagator calculation […]
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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 control and signal processing. We give an overview of the basic mathematics, algorithms, and software frameworks for convex optimization, and give a few examples. We […] |
2 events,
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This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. ABSTRACT Robot design remains slow and iterative because morphology and behavior are often engineered separately. In this talk, I present my work toward task-informed robot co-design, which treats morphology and behavior as programmable, composable elements that can be […]
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Abstract: Closed-loop feedback mechanisms are common in process and control engineering yet are rarely, if ever, applied to discovery chemistry. The successful incorporation of autonomous feedback mechanisms into chemical discovery processes has the potential to revolutionize and greatly accelerate the way in which blockbuster medicines and materials are found. This talk will establish the concept […] |
1 event,
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Premature ovarian insufficiency (POI) and infertility are irreversible and life-altering consequences of radiation and chemotherapy, significantly affecting young cancer survivors. Restoring reproductive function in women poses a unique challenge, as they are born with a finite and non-renewable reserve of ovarian follicles—the ovary’s functional units, each containing a single oocyte and hormone-producing somatic cells. Current […] |
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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, to satellite imagery, representative samples of the various phenomena constituting the world around us bring new opportunities and research challenges. Such availability of data has […]
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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 reaction-diffusion master equation to account for chemical reactions and molecular transport within the Langevin Dynamics (LD) framework to describe force-dependent dynamic processes at the whole […] |
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