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Due to the elevated expenditure of fossil fuels and their adverse impacts on climate change resulting from greenhouse gas emissions, it is imperative to integrate clean energy sources alongside fossil fuels. This study presents the design, simulation, and optimization of an integrated system comprising solar photovoltaics, micro-cogeneration, and electrical energy storage to achieve energy self-sufficiency […] |
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I will discuss the collective modes that spontaneously emerge in ciliary carpets and fish schools. In both systems, the fluid medium couples the motion of individuals in the group. Flow coupling is dominated by viscous forces in cilia and by inertial interactions in fish. I will show, numerically and analytically in the continuum limit, that […]
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AI Month at Penn concludes with closing remarks by Vijay Kumar, Nemirovsky Family Dean, Penn Engineering. This will be followed by a panel discussion moderated by Susan Davidson, Weiss Professor, Computer and Information Science (CIS). Panel guests include: Zachary Ives, Adani President’s Distinguished Professor, CIS; George Pappas, UPS Foundation Professor of Transportation, Electrical and Systems […] |
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ABSTRACT: Research in lifelong or continual machine learning has advanced rapidly over the past few years, primarily focusing on enabling learned models to acquire new tasks over time while avoiding catastrophic forgetting of previous tasks. However, autonomous systems still lack the ability to rapidly learn new generalizable skills by building upon and continually refining their […] |
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Please register at the event webpage, where you will also find abstracts and bios for the speakers. Invited talks include: Exploring Polymer Blend Directed Self-Assembly Using Autonomous X-Ray Scattering Greg Doerk, PhD, Brookhaven National Lab Machine-Learning-Guided Discovery of New Electrochemical Reactions Andrew Zahrt, PhD, University of Pennsylvania Ask an Expert about ChatGPT Chris Callison-Burch, PhD, […] |
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This is a hybrid event with in-person attendance in the GRASP Treehouse and virtual attendance via Zoom. RSVPs required for in-person attendees. Please RSVP here. 9:30am – Welcome Remarks Dr. Ani Hsieh – ROBO Program Chair 9:35am – Beiming Li Advised by: Dr. Vijay Kumar "Depth Completion of Glass Surfaces from a Single-View Polarization […] |
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Abstract Advancing the synthesis of small molecules is critical to the advent of new medicines, materials, and agrochemicals. Our lab has been exploring strategies in chemical synthesis -- both in reaction method development and total synthesis -- that leverage modern data science techniques and robotics. This presentation will share some recent results using informatics to […] |
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ESE PhD Thesis Defense: “Low Noise and Low Power Front-end Circuit Design for Bio-Signal Recordings”
ESE PhD Thesis Defense: “Low Noise and Low Power Front-end Circuit Design for Bio-Signal Recordings”
Bio-signals in living objects are the signals thatcarry physiological information from one part of the body to another. Studying bio-signals can extract data that maps health status or body activities for medical purposes. Implantable and wearable devices of small volume for measuring different bio-signals are desired for medical applications where the devices measure the signals […] |
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An incredible diversity of organisms, from bacteria and social insects to bird flocks and fish schools, self-organize to achieve collective tasks. They have inspired the development of decentralized algorithms and robotic swarms. While numerous models have been proposed to understand the self-organization of animal groups, the role of mechanics was rarely considered. In this talk, […] |
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Computational modeling and simulation has become a routine part of cardiovascular clinical research. These techniques leverage medical imaging to construct patient-specific models that can be used to study disease processes, design and evaluate medical devices, perform predictive surgery, and aid in clinical decision-making. Modern cardiovascular simulations often require millions of elements and tens of thousands […] |
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Celebrate Penn Engineering's 2024 Doctoral Graduates. Additional information is available on the Penn Engineering Commencement website. |
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Celebrate the Penn Engineering 2024 Master's Graduates. Additional information is available on the Penn Engineering Commencement website. |
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Penn Engineering invites all alumni, family and friends to join us for the dedication of two new hallway installations that honor the past while inspiring the future. Join Dean Kumar to reconnect with classmates and hear remarks from notable alumni. Breakfast will be provided at 9:00am, program begins at 9:45 a.m. Click to see the […]
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Celebrate the Penn Engineering Undergraduate Class of 2024. Additional information is available on the Penn Engineering Commencement website. |
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On Monday, May 20, 2024, from 12:15-2:15 p.m., Penn Engineering will host an Open House for the School’s returning graduates and their families throughout the first floors of the main Engineering complex, immediately following the University Ceremony. Included are photo booth opportunities, a t-shirt giveaway (including a live t-shirt press!), and light refreshments. Please join […] |
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*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 […] |
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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 […] |
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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 […] |
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