Events

Filters

View as

Event Views Navigation

Today

    • GRASP Seminar: Yinghao Xu, Stanford University, “Large Reconstruction Model for Efficient 3D Reconstruction and Generation”

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

    *This seminar will be held in-person in Wu and Chen as well as virtually via Zoom.  ABSTRACT Over the past year, the large language model has achieved significant milestones, approaching human-like intelligence across various domains. However, there has been limited investigation into large-scale 3D reconstruction in the literature. In this talk, I will primarily focus […]

    BE Doctoral Dissertation: “Biologic Delivery to Preserve Joint Health and Promote Tissue Repair” (Elisabeth Lemmon)

    /
    JMB Reunion Auditorium 3620 Hamilton Walk, Philadelphia, PA, United States

    The Department of Bioengineering at the University of Pennsylvania and Dr. Rob Mauck are pleased to announce the Doctoral Dissertation Defense of Elisabeth Lemmon. Title: Biologic Delivery to Preserve Joint Health and Promote Tissue Repair Date: May 28, 2024 Time: 10:00 AM Location: JMB Class of ’62 Auditorium Zoom link - https://upenn.zoom.us/j/93923840583?pwd=Tjl5bE1rMEFESlJKRm9ROEYzSU1VZz09 Please email elemmon@vet.upenn.edu for the zoom […]

    PRIML Seminar: “Matrix Completion and Algebraic Geometry”

    /
    Towne 307 220 S. 33rd Street, Philadelphia, PA, United States

    Low-rank matrix completion is a well-studied problem, for which a rich theory exists, mainly from the optimization and statistical points of view. However, the majority of the theoretical analysis in the literature assumes random observation patterns. On the other hand, the pattern of observed entries depends on the nature of each application, and is usually […]

    • ESE PhD Thesis Defense: “Integrated Electronic-Photonic Solutions From Quantum Control Systems to Optical Transmitters”

    /
    Towne 337

    Silicon's advanced fabrication processes have enabled the miniaturization of complex electronic systems, enhancing performance and efficiency. Recent technological developments have further expanded silicon's utility to integrate photonic systems, merging electronic and photonic technologies on a single chip. This integration has opened new avenues for high-speed communication and computation, attracting significant interest from both research and […]

    MEAM Seminar: “Dynamically Tunable Adhesion and Friction via Active Materials with Thermally Modulated Stiffness”

    /
    Room 337, Towne Building 220 South 33rd Street, Philadelphia, PA, United States

    Contact interactions, including adhesion and friction, are critical to the design of many engineered systems. Currently, most systems rely on materials with static mechanical properties, requiring careful selection of materials to realize effective systems for specialized tasks. However, with advances in smart materials, system design is no longer limited to materials with static properties. There […]

    ESE PhD Thesis Defense: “Algorithms for Adversarially Robust Deep Learning”

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

    Given the widespread use of deep learning models in safety-critical applications, ensuring that the decisions of such models are robust against adversarial exploitation is of fundamental importance.  In this thesis, we discuss recent progress toward designing algorithms that exhibit desirable robustness properties.  First, we discuss the problem of adversarial examples in computer vision, for which […]

    GRASP Seminar: Lillian Chin, University of Texas at Austin, “Materials Make the Bot: Directly Embedding Actuation and Perception into Robotic Structures”

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

    *This seminar will be held in-person in Levine 307 as well as virtually via Zoom.  ABSTRACT To make a future where robots are helpful and commonplace, robots must physically interact with humans and their surroundings. In this talk, I argue that robots should be designed from a materials-centric approach to better facilitate these interactions. If […]

    xLab Seminar: “Learning to Control with Vision–Language Models”

    /
    Towne 337

    If learning from data is valuable, can learning from big data be very valuable? It has been, so far, in vision and language, for which foundation models can be trained on web-scale data to support a plethora of downstream tasks; not so much in control, for which scalable learning remains elusive. Can information encoded in […]

    IDEAS Seminar: “An optimization framework for designing robust state estimators”

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

    Cyber-physical systems often include communication networks that ensure data transmission between different components of the system (sensors, actuators, processing units, etc). The presence of such networks renders the whole system vulnerable to malicious attacks consisting, for example, in the injection of arbitrary signals. In this context, the data collected over the communication channel may be […]

    BE Doctoral Dissertation Defense: “Goal-Directed Dynamics of Network Topology” (Shubhankar Patankar)

    /
    Heilmeier Hall (Room 100), Towne Building 220 South 33rd Street, Philadelphia, PA, United States

    The Department of Bioengineering at the University of Pennsylvania and Dr. Dani Smith Bassett are pleased to announce the Doctoral Dissertation Defense of Shubhankar Patankar. Title: Goal-Directed Dynamics of Network Topology Date: June 7, 2024 Time: 11:30 am - 1:30 pm Location: Heilmeier Hall, Room 100 Towne Building Zoom: https://upenn.zoom.us/j/95495692170 The public is welcome to attend.

    infoLeNS Seminar: “Emerging computational imaging inverse problems: from theory to algorithms”

    /
    Room 452 C, 3401 Walnut 3401 Walnut Street, Philadelphia, PA, United States

    In this talk, I will focus on two challenging imaging systems: snapshot compressive imaging and coherent imaging under speckle noise interference. I will begin by reviewing the core mathematical modeling of the inverse problem corresponding to each system. I will develop a maximum likelihood estimator (MLE)-based optimization for each, employing untrained neural networks (NNs) to […]