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AI Industry Days
The Penn Engineering community is invited to join our inaugural AI Industry Days on Wednesday, October 22 and Thursday, October 23. Continuing Industry Days’ tradition of providing avenues for students to learn, connect, and explore career opportunities in niche areas of engineering and technology, this series offers both in-person and virtual programming. A variety […]
Sunday, October 19, 2025
No events on this day.
Monday, October 20, 2025
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October 20, 2025 -MSE Undergraduate Open House
MSE Undergraduate Open House
Materials Science and Engineering Undergraduate Open House Are you a first-year Student? Undecided about your major? Curious about MSE? Join us for food and fun and explore how MSE can transform your future! • Who Should Attend: All first-year undergrad engineering students, regardless of major • What: Eat good food and meet MSE faculty, staff, […]
Tuesday, October 21, 2025
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October 21, 2025 -MEAM Seminar: “Controlling Friction and Wear via Engineered Surfaces and Advanced Nanomaterials”
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October 21, 2025 -Democratic Repercussions of Media Fragmentation
MEAM Seminar: “Controlling Friction and Wear via Engineered Surfaces and Advanced Nanomaterials”
Friction and wear of moving components across various industries result in reliability issues, enormous energy losses, and environmental problems. These problems originate from the complex interactions between micro- and nanoscale asperities at the contacting surfaces. Such tribological challenges can be addressed via surface engineering, inspired by biological species that control friction very efficiently, combined with […]
Democratic Repercussions of Media Fragmentation
Does media fragmentation contribute to democratic erosion? If so, how, and what steps are required to address potential impacts? Join the Penn Center on Media, Technology, and Democracy as we explore this topic both through the lens of empirical research - as represented by Professors Duncan Watts, Sandra González-Bailón, and Rasmus Kleis Nielsen along with […]
Wednesday, October 22, 2025
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October 22, 2025 -ASSET Seminar: “Unpacking the Unintended Consequences of AI in Education”
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October 22, 2025 -ESE Guest Seminar: “The Versatility of Perovskite Materials for Optoelectronics”
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October 22, 2025 -Fall 2025 GRASP SFI: Suraj Nair, Physical Intelligence, “Scaling Robot Learning with Vision-Language-Action Models”
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October 22, 2025 -CBE Seminar: “Dynamic Interactions Between Copper Active Sites in Zeolites During NOx Pollution Abatement Catalysis” (Rajamani Gounder, Purdue University)
ASSET Seminar: “Unpacking the Unintended Consequences of AI in Education”
The rapid integration of AI into educational settings presents opportunities and challenges—this talk will discuss findings from three large-scale field studies investigating the impact of AI on student learning. First, we found that unfettered access to ChatGPT negatively impacted short-term student learning outcomes. Second, to understand longer-term effects, we examined learning in chess academies. Contrary […]
ESE Guest Seminar: “The Versatility of Perovskite Materials for Optoelectronics”
Perovskite solar cells (PSCs) have created much excitement in the past years and attract spotlight attention. This talk will provide an overview of the reasons for this development highlighting the historic development as well as the specific material properties that make perovskites so attractive for the research community. The current challenges are exemplified using a […]
Fall 2025 GRASP SFI: Suraj Nair, Physical Intelligence, “Scaling Robot Learning with Vision-Language-Action Models”
This speaker will present virtually. This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. ABSTRACT The last several years have witnessed tremendous progress in the capabilities of AI systems, driven largely by foundation models that scale expressive architectures with diverse data sources. While the impact of this technology […]
CBE Seminar: “Dynamic Interactions Between Copper Active Sites in Zeolites During NOx Pollution Abatement Catalysis” (Rajamani Gounder, Purdue University)
Abstract: The selective catalytic reduction (SCR) of nitrogen oxides (NOx) with ammonia using Cu-exchanged zeolites is a pollution abatement technology used commercially in diesel emissions control. At low temperatures (<523 K), Cu ion active sites become solvated by ammonia reactants to form homogeneous-like copper coordination complexes that are bonded ionically to anionic aluminum centers in […]
Thursday, October 23, 2025
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October 23, 2025 -MSE Seminar: “On-Chip Topological Photonics for terahertz 6G to XG Wireless” – Ranjan Singh – University of Notre Dame
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October 23, 2025 -ESE Fall Seminar – “New Pathways for Energy Efficient Computing Hardware”
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October 23, 2025 -FOLDS seminar: An Information Geometric Understanding of Deep Learning
MSE Seminar: “On-Chip Topological Photonics for terahertz 6G to XG Wireless” – Ranjan Singh – University of Notre Dame
The era of global digitalization and the increasing prevalence of artificial intelligence-driven data applications have set their sights on terabits per second (Tbps) communication links. The limitations of the rapidly advancing 5G network in meeting this demand, attributed to challenges such as bandwidth scarcity, have spurred the exploration of innovative technologies for the envisioned 6G […]
ESE Fall Seminar – “New Pathways for Energy Efficient Computing Hardware”
This winter the Americans will see a price hike in their electricity bill – not because of any issues related to energy generation but rather because of the rapidly increasing energy demand by the Data Centers. Energy efficiency is becoming critical not only to maintain the incessant advanced march of computing, but also to ensure […]
FOLDS seminar: An Information Geometric Understanding of Deep Learning
Zoom link: https://upenn.zoom.us/j/98220304722 I will argue that properties of natural data are what predominantly make deep networks so effective. To that end, I will show that deep networks work well because of a characteristic structure in the space of learnable tasks. The input correlation matrix for typical tasks has a “sloppy” eigenspectrum where eigenvalues decay […]
Friday, October 24, 2025
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October 24, 2025 -BE Doctoral Dissertation Defense: Katherine Mossburg
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October 24, 2025 -Fall 2025 GRASP on Robotics: Alan Yuille, Johns Hopkins University, “3D Vision Language Models and Interactive World Models”
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October 24, 2025 -PICS Colloquium: Powering decarbonization with modeling and optimization of renewables in the multi-scale atmosphere with Michael F. Howland
BE Doctoral Dissertation Defense: Katherine Mossburg
The Department of Bioengineering at the University of Pennsylvania and Dr. David Cormode are pleased to announce the Doctoral Dissertation Defense of Katherine Mossburg. Title: "Developing Silver Sulfide-Based Nanoparticles for Imaging and Treatment of Breast Cancer" Location: Alison Pouch (chair), Andrew Maidment, David Issadore Date: Friday, October 24, 2025 Time: 10:00 AM Location: Raisler Lounge, Towne […]
Fall 2025 GRASP on Robotics: Alan Yuille, Johns Hopkins University, “3D Vision Language Models and Interactive World Models”
This event will be in-person ONLY in Wu and Chen Auditorium. ABSTRACT Vision Language Models (VLMs) are extremely successful, but their performance degrades when asked questions involving spatial relations and 3D world knowledge. Inspired by Cognitive Science, we develop 3D VLMs which are 3D-aware and 3D-explicit to help us to diagnose their failure nodes. We […]
PICS Colloquium: Powering decarbonization with modeling and optimization of renewables in the multi-scale atmosphere with Michael F. Howland
To meet net-zero carbon emissions targets by mid-century, up to a ~30-fold increase in wind power capacity is required. Acceleration to this rate requires urgent improvements to efficiency and reliability of installed wind farms, as well as cost reductions for future offshore farms. To expand energy production, wind turbines are rapidly increasing in size, wind […]
Saturday, October 25, 2025
No events on this day.