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    • CIS Seminar: “Bridging Learning and Decision Making”

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    Zoom - Email CIS for link cherylh@cis.upenn.edu

    Machine learning is becoming widely used in decision making, in domains ranging from personalized medicine and mobile health to online education and recommendation systems. While (supervised) machine learning traditionally excels at prediction problems, decision making requires answering questions that are counterfactual in nature, and ignoring this mismatch leads to unreliable decisions. As a consequence, our […]

    CBE Seminar: “Engineering Microsystems and Computational Pipelines to Understand the Brain”

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    Zoom - Email CBE for link

    Abstract My lab is interested in engineering micro systems and computational tools to address questions in systems neuroscience, developmental biology, and cell biology that are difficult to answer with conventional techniques. We are particularly interested in the questions of how the brain is assembled during development (and changes during aging) and information processed by brain […]

    CIS Seminar: “Human-Centered Interactive Systems for Configuring, Extending, and Developing AI Applications”

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    Zoom - Email CIS for link cherylh@cis.upenn.edu

    Artificial intelligence (AI) technologies are emerging and affecting our lives in many aspects. However, the majority of individuals are merely users of AI with little capability to adapt AI to their own long-tail tasks, preferences, and interests that are not covered by the existing AI solutions. Democratizing AI to empower the individuals to create, configure, […]

    Spring 2021 GRASP SFI: “Robotic Caregivers—Sensing, Simulation, and Physical Human-Robot Interaction”

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    Zoom

    Abstract: Autonomous robots have the potential to serve as versatile caregivers that improve quality of life for millions of people with disabilities worldwide. Yet, physical robotic assistance presents several challenges, including risks associated with physical human-robot interaction, difficulty sensing the human body, and a lack of tools for benchmarking and training physically assistive robots. In […]

    MSE Seminar: “Bio-like Structural Hydrogels with Life-like Intelligence”

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    From the cellular level up to the body system level, living organisms present elegant designs and strategies to realize the desirable structures, properties and functions. For example, tendons and muscles are tough but soft, owing to highly complex hierarchical structures rarely found in synthetic materials. Plants can automatically track the sun and our body can […]

    BE Seminar: “Reaction-Coupled Solid-State Nanopore Digital Counting: Towards Sensitive, Selective and Fast Nucleic Acid Testing” (Weihua Guan)

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    This seminar will be held virtually on Zoom (details coming soon). Due to their conceptual simplicity, the nanopore sensors have attracted intense research interest in electronic single molecule detection. While considerable success has been achieved, the solid-state nanopores still face three significant challenges, including repeatable nanopore size control, introduction sensing specificity, and prolonged sensor response […]

    CIS Seminar: “AI for Population Health: Melding Data and Algorithms on Networks”

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    Zoom - Email CIS for link cherylh@cis.upenn.edu

    As exemplified by the COVID-19 pandemic, our health and wellbeing depend on a difficult-to-measure web of societal factors and individual behaviors. My research aims to build AI which can impact such social challenges, advancing health and equity on a population level. This effort requires new algorithmic and data-driven paradigms which span the full process of gathering costly data, developing machine learning models to understand […]

    GRASP On Robotics: “Perspectives on Machine Learning for Adaptive Robotic Systems”

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    https://upenn.zoom.us/j/96715197752

    Abstract: Recent advances in machine learning are leading to new tools for designing intelligent robots: functions relied on to govern a robot’s behavior can be learned from a robot’s interaction with its environment rather than hand-designed by an engineer. Many machine learning methods assume little prior knowledge and are extremely flexible, they can model almost […]

    PICS: ” Houdini Presentation”

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    Zoom - email kathom@seas.upenn.edu

    Cinematic scientific visualization makes three dimensional scientific phenomena approachable for mass audiences by using the artistic language of film including elements like camera choreography, lighting design, comprehensive scenic environments, and more. Cinematic scientific visualizations are an engaging way for domain experts to communicate niche information with the public, to refute widely held misconceptions, and to […]