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    • BE Doctoral Dissertation Defense: “Design, Modeling and Optimization of a Tape Spring Steerable Needle” (Omar Abdoun)

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    Towne 337

    The Department of Bioengineering at the University of Pennsylvania and Dr. Mark Yim are pleased to announce the doctoral dissertation defense of Omar Abdoun. Title: DESIGN, MODELING, AND OPTIMIZATION OF A TAPE SPRING STEERABLE NEEDLE Date: 5/26 Time: 11:30am Location: 337 Towne Building  Zoom is also an option. The Link Is below: Omar Abdoun is inviting […]

    MEAM Seminar: “Progress on Templates for Spined and Tailed Legged Robots”

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

    By mirroring the success of biological systems, legged robots have the potential to be successful in almost every terrestrial environment. While legged machines have made significant advancements in the past 20 years, there still exists a considerable gap between what they can achieve and the abilities of animals. In this talk I’ll discuss some of […]

    ESE PhD Thesis Defense: “Compute-In-Memory on Emerging Memory Technology: From Device to Algorithm”

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    Room 313, Singh Center for Nanotechnology 3205 Walnut Street, Philadelphia, PA, United States

    Current computing systems are mainly constructed on the von Neumann architecture, where data needs to be transferred to a processing unit from memory components. The latency associated with accessing data from the memory units is a key performance bottleneck for a range of data-intensive applications in the convergence of big data and AI. Several solutions […]

    MEAM Ph.D. Thesis Defense: “Transport Modeling and Design of Electrode Architectures for High Energy Density Batteries”

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

    With the ever-increasing production of portable electronics, internet of things devices, electric vehicles, unmanned aerial vehicles, and other autonomous robotic systems comes an increasing demand for reliable, long-lasting, portable power sources. Portable electronic systems are often limited by the energy density of the batteries that power them, and these batteries typically take up a large […]

    • CBE PhD Thesis Defense: “Modeling Diverse Processes at Oxide Interfaces”

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    Towne 225

    In this thesis, ab initio methods including density functional theory are used in concert with molecular dynamics, enhanced sampling techniques, and microkinetic modeling to study oxide materials as applied to electrochemical ammonia synthesis, carbon mineralization, and the oxygen evolution reaction. Special attention is directed towards discussion of model selection and its relationship to the experimental system. […]

    MEAM Seminar: “Wall-modeled LES of 3-D Turbulent Boundary Layer with Emphasis on Grid Independency”

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    Room 2C4, David Rittenhouse Laboratory Building 209 S. 33rd Street, Philadelphia, PA, United States

    The capability to predict high-Reynolds-number turbulent flows is essential for many natural and engineering flows such as external aerodynamics (wind turbines, aircraft wings), hydrodynamics (the hull of marine vehicles) and atmospheric boundary-layer flow over complex landscapes and cityscapes. However, due to extreme disparity of scales present in high-Reynolds-number wall-bounded turbulent flows, any attempt to simulate […]

    MEAM Seminar: “Computational Study on the Influence of Roughness at Low and Very-High Reynolds Numbers”

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

    Many fluid problems of interest, such as turbulent flow over an airplane or transport processes in geophysical flows, contain wall-bounded regions that form boundary layers. Oftentimes, both numerical and experimental studies are simplified by using smooth surfaces. This simplification has allowed us to gain a greater understanding of near-wall processes for flows of engineering interest, […]

    Spring 2023 GRASP on Robotics: Pauline Pounds, The University of Queensland, “Drones, Bipeds and Sensors – 10 Years of the UQ Robotics Design Lab”

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

    This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. This week's presenter will be in-person as well.    ABSTRACT The Robotics Design Lab was founded in 2012 at the University of Queensland, Australia, and considers the holistic design of robots as a system.  With the RDL Pauline […]

    MEAM Ph.D. Thesis Defense: “Manually-Operated, Slider Cassette for Multiplexed Molecular Detection at the Point of Care”

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    Zoom - Email MEAM for Link peterlit@seas.upenn.edu

    Personalized medicine requires the identification of disease-causing agents prior to prescribing therapy. Currently, molecular detection requires shipping bio samples to centralized laboratories. The time delay between sample collection and test results prevents health care givers from making timely, informed decisions. Furthermore, there is a shortage in centralized laboratories and trained technicians in resource poor settings […]

    MEAM Ph.D. Thesis Defense: “High Performance Electroadhesives for Materials and Robots with Electroprogrammable Stiffness”

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    Room 2C8, David Rittenhouse Laboratory Building 209 South 33rd Street, Philadelphia, PA, United States

    Materials with electroprogrammable stiffness and adhesion can enhance the performance of robotic systems, including prosthetics, medical devices, wearables, exoskeletons, and grippers. However, achieving large changes in stiffness and adhesive forces in real time is an ongoing challenge. Electroadhesive clutches can rapidly adhere high stiffness elements, although their low force capacities, high activation voltages, and inability […]

    5th Annual Learning for Dynamics & Control Conference

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    University of Pennsylvania

    Over the next decade, the biggest generator of data is expected to be devices that sense and control the physical world. The explosion of real-time data that is emerging from the physical world requires a rapprochement of areas such as machine learning, control theory, and optimization. While control theory has been firmly rooted in the […]