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Sunday, April 26, 2026
No events on this day.
Monday, April 27, 2026
No events on this day.
Tuesday, April 28, 2026
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April 28, 2026 -The Future of AI, Data Centers and the Energy Transition
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April 28, 2026 -MEAM Seminar: “A ‘Full Stack’ Problem”
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April 28, 2026 -CBE Doctoral Dissertation Defense: “Shape Changing Droplets under Confinement and Particle Coverage” (Emery Hsu)
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April 28, 2026 -MEAM Seminar: “An Incomplete Answer to Why it Rains”
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April 28, 2026 -Driving the Future: Technology and Innovation with Ferrari CEO Benedetto Vigna
The Future of AI, Data Centers and the Energy Transition
AI is transforming the world, but at what cost to our energy systems? As demand for computing power surges, data centers are becoming one of the most consequential frontiers in the energy transition. Dr. Chan's talk will unpack how emerging technologies, smarter design, and bold innovation can redefine data centers as engines of efficiency, sustainability, and progress.
MEAM Seminar: “A ‘Full Stack’ Problem”
While many of the tremendous advances seen in robotic dexterity over the past half-decade have been driven by new motor learning methods, I remain convinced that manipulation is a “full stack” problem, benefiting from beautiful synergy between all levels of a robotic system. In this talk, I will present examples from our lab’s attempts to […]
CBE Doctoral Dissertation Defense: “Shape Changing Droplets under Confinement and Particle Coverage” (Emery Hsu)
Abstract: Crystalline monolayers at fluid interfaces possess unique elastic properties that have important implications in biology and nanotechnology and the synergistic incorporation of colloidal particles enables novel strategies for the design of responsive soft matter. A good command of their morphologies depends on the precise understanding of structural properties and the interplay between adsorbed particles […]
MEAM Seminar: “An Incomplete Answer to Why it Rains”
Cloud droplets grow initially by condensation, and thereafter by colliding and coalescing with each other. We discuss how condensation can make cloud turbulence different from "normal" turbulence. We then ask about caustics: locations where droplet collisions may occur. In toy vortical flows we find surprising ways in which caustics may form, and create lucky drops […]
Driving the Future: Technology and Innovation with Ferrari CEO Benedetto Vigna
Join Penn Engineering for a fireside conversation with Benedetto Vigna, CEO of Ferrari, as he reflects on his journey from physicist to industry leader and shares how a scientific approach drives innovation at scale. In discussion with Dean Vijay Kumar, Vigna will explore the future of technology and manufacturing, the role of AI in engineering, and what it means to build a career at the intersection of technical depth, luxury, and real-world impact.
Wednesday, April 29, 2026
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April 29, 2026 -ASSET Seminar: “Compositional Control of Multimodal Foundation Models”
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April 29, 2026 -CIS Doctoral Dissertation Defense: “Enabling Tight Perception-Action Loops for Autonomous Robots with Event-based Vision”
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April 29, 2026 -BE Doctoral Dissertation Defense: Jiong Chen
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April 29, 2026 -CBE Seminar: “Building the Ultimate Water Electrolyzer” (Shannon Boettcher, UC Berkeley)
ASSET Seminar: “Compositional Control of Multimodal Foundation Models”
Foundation models have achieved remarkable performance across a wide range of tasks, yet their internal representations remain opaque, entangled, and difficult to control, limiting safety, alignment, and adaptability. In this talk, I present a unified framework for controlling multimodal foundation models based on representing activations as sparse linear combinations of concept vectors from a curated […]
CIS Doctoral Dissertation Defense: “Enabling Tight Perception-Action Loops for Autonomous Robots with Event-based Vision”
CIS Doctoral Dissertation Defense: "Enabling Tight Perception-Action Loops for Autonomous Robots with Event-based Vision" Anish Bhattacharya Advisors: Nikolai Matni, Vijay Kumar Zoom: https://upenn.zoom.us/j/96649115114 Abstract: This dissertation addresses the challenge of enabling fast, efficient perception-action loops for agile robots using event-based vision. Building on an initial demonstration that end-to-end learned policies—trained entirely in simulation with vision transformers—can […]
BE Doctoral Dissertation Defense: Jiong Chen
The Department of Bioengineering at the University of Pennsylvania and Dr. Li Shen are pleased to announce the Doctoral Dissertation Defense of Jiong Chen. Title: "GRAPH AND VISION BASED LEARNING FOR MEDICAL IMAGE ANALYSIS: APPLICATIONS IN BRAIN NETWORKS AND OMICS PHENOTYPING" Advisor: Dr. Li Shen Date: Wednesday, April 29th Time: 3:00 PM - 5:00 PM […]
CBE Seminar: “Building the Ultimate Water Electrolyzer” (Shannon Boettcher, UC Berkeley)
Abstract: Commercialized membrane electrolyzers use acidic proton-exchange membranes (PEMs). These systems offer high performance but require the use of expensive precious-metal catalysts such as IrO2 and Pt that are nominally stable under the locally acidic conditions. Alkaline-exchange-membrane (AEM) electrolyzers in principle offer the performance of PEM electrolyzers with earth-abundant catalysts and inexpensive cell components. Unfortunately, […]
Thursday, April 30, 2026
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April 30, 2026 -IDEAS on Generative AI Symposium
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April 30, 2026 -Special BE Seminar – Nate J. Cira, “Simple Fluidic Tools for Combinatorial Experiments on Complex Systems”
IDEAS on Generative AI Symposium
Online Registration Closed: Onsite registration opens on April 30 at the venue. Click the link to see the recording of the symposium https://upenn.zoom.us/rec/share/3EW5rWgjNLMHqqEhLJdroevyeTha9bTjTyJQIEwV42JZMXnabkVbZseyx0u0kqdn.GlaYABsf9caUkw0A Passcode: 00x*EC@d Click here for virtual attendance on April 30 Webinar ID: 959 7142 6525 Invite Link: https://upenn.zoom.us/j/95971426525 Click here for all the details Join us at the University of Pennsylvania for the IDEAS on Generative […]
Friday, May 1, 2026
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May 1, 2026 -CBE Doctoral Dissertation Defense: “Scientific Machine Learning for Data‑Limited Biological Dynamics” (Mitchell Daneker)
CBE Doctoral Dissertation Defense: “Scientific Machine Learning for Data‑Limited Biological Dynamics” (Mitchell Daneker)
Abstract: Many biological models relevant to clinical and biochemical applications are governed by ordinary and partial differential equations. Traditional numerical methods are well suited for forward simulations of these models; however, patient and system‑specific inference often requires invasive measurements or data that is experimentally inaccessible. As a result, inference tasks involving the reconstruction of state […]
Saturday, May 2, 2026
No events on this day.
