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    • MEAM Seminar: “Nature in Motion: Unraveling Locomotion across Mediums and Scales”

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    Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

    Biology and Engineering form an interdisciplinary two-way street. On the one side, natural solutions can inform and inspire the design of mechanical systems. This is referred to as bioinspired design. On the other side, referred to as engineering-enabled biology, controlled engineering experimental, numerical, and analytical tools are used and developed to answer fundamental biological questions […]

    ESE Fall Seminar – “Architectures, Topologies and Control for High-Frequency Power Electronics”

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    Raisler Lounge (Room 225), Towne Building 220 South 33rd Street, Philadelphia, PA, United States

    Power converters designed for higher frequency operation than conventional designs can be smaller and lighter. However, to gain these benefits and maintain high reliability the converters also need to be more efficient, as smaller converters offer less surface area for heat removal. The development of efficient, small and light weight power converters can benefit from […]

    MEAM Ph.D. Thesis Defense: “SLAM in Hard Places”

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    Eyebrow

    Simultaneous Localization and Mapping is a fundamental problem for robots interacting with a novel environment and has been a densely studied area of research for several decades. The modern paradigm of feature extraction and matching coupled with advancements in sensor technology have allowed robots to achieve sub meter localization accuracy over kilometer long trajectories in […]

    CBE Doctoral Dissertation Defense: “DROPS-ON-STILTS MICROROBOTS FOR TRANSPORT AND DELIVERY OF HYDROPHOBIC CARGO” (Oluwafemi Ligan)

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    Raisler Lounge (Room 225), Towne Building 220 South 33rd Street, Philadelphia, PA, United States

    Abstract: Magnetically actuated microrobots composed of dynamic assemblies of iron oxide nanoparticles (IONPs) offer versatile opportunities for biomedical applications. While such assemblies can reconfigure and perform diverse tasks under applied magnetic fields, the effective transport of hydrophobic cargo remains a significant challenge. To address this limitation, we introduce “drops-on-stilts” microrobots formed by the co-assembly of […]

    ASSET Seminar: “How do LLMs generalize on out-of-distribution tasks? insights from model’s internal representations”

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    Amy Gutmann Hall, Room 414 3333 Chestnut Street, Philadelphia, United States

    A mystery of large language models (LLMs) is their ability to solve novel tasks, notably through a few demonstrations in the prompt (in-context learning). Such tasks often require the model to generalize far beyond its training distribution, raising the question: how do LLMs achieve this form of out-of-distribution (OOD) generalization? For example, in symbolized language […]

    Fall 2025 GRASP SFI: Deepti Ghadiyaram, Boston University, “Interpreting and Leveraging Generative Representations”

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    Levine 307 3330 Walnut Street, Philadelphia, PA, United States

    This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom.  ABSTRACT Generating high-quality photo-realistic visual content is a thriving area of research. In this talk, I will focus not on the generation process, but on understanding how rich visual semantic information is represented within generative models. Specifically, I will […]

    CBE Seminar: “Imaging Genetics: Enhancer-mediated Dynamic Gene Control in Space and Time” (Bomyi Lim, University of Pennsylvania)

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    Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

    Abstract: Canonical models suggest that regulatory enhancers function independently of genomic distance, position, and orientation to activate the target gene. Indeed, a wide range of genomic distances and relative enhancer positions exist in endogenous contexts. However, systematic analysis of how specific enhancer-promoter configurations affect transcriptional dynamics has been limited by technical constraints. Here, we employ […]

    MEAM Ph.D. Thesis Defense: “The Role of YAP and TAZ in Regulating Load-induced Bone Adaptation and Osteocytes Mechanosensing”

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    Towne 305 220 S. 33rd Street, Philadelphia, PA, United States

    Mechanical loading is essential for skeletal growth, maintenance, and repair, yet the mechanisms that regulate bone mechanoadaptation remain incompletely understood. Yes-associated protein (YAP) and transcriptional co-activator with PDZ-binding motif (TAZ), downstream of the Hippo pathway, are emerging regulators of bone cell biology, but their in vivo role in skeletal mechanoadaptation has not been fully defined. […]

    MSE Seminar: Designing Biomaterials With Spatially Tunable Properties – Lesley Chow – Lehigh University

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    Wu & Chen Auditorium

    Biological tissues are complex materials where the spatial arrangement of multiple components (i.e., extracellular matrix, cells) is tightly linked to their function. For example, osteochondral tissues contain discrete biochemical and physical gradients across the bone-cartilage interface that are critical for functional load transfer in our articulating joints. Our lab is focused on strategies to fabricate […]

    ESE Fall Seminar – “Physics-Aware, Full-Stack Software to Accelerate Practical Quantum Computing”

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    Raisler Lounge (Room 225), Towne Building 220 South 33rd Street, Philadelphia, PA, United States

    Quantum software can be a force multiplier that can significantly shorten the timeline for utility-scale results from quantum hardware. In particular, several key research directions will help realize practical quantum advantage. Physics-aware, cross-layer optimizations will continue to yield important efficiencies to allow applications to make the most of quantum resources. Software-directed noise-aware optimization and error […]

    FOLDS seminar: Propagation-of-Chaos in Shallow Neural Networks beyond Logarithmic Time.

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    Amy Gutmann Hall, Room 414 3333 Chestnut Street, Philadelphia, United States

    Zoom link: https://upenn.zoom.us/j/98220304722 The analysis of gradient-based learning of Neural Networks remains an outstanding challenge, even for the simplest shallow architectures.  A powerful mathematical framework that has emerged over recent years lifts the optimization in the space of probability measures, and captures important empirical phenomena such as the 'blessing of overparametrization'. However, the resulting learning […]