7 events found.
Filters
Week of Events
Sunday, April 7, 2024
No events on this day.
Monday, April 8, 2024
-
April 8, 2024 -Penn Engineering 2023-24 Heilmeier Faculty Award Lecture: Arjun Raj
Penn Engineering 2023-24 Heilmeier Faculty Award Lecture: Arjun Raj
"Can a cell learn?" Ever since the genetic code was deciphered, we have increasingly come to view cellular control through the lens of genetic determinism. In this paradigm, a cell's fate is already written into its DNA, which is in turn shaped by Darwinian evolution over the course of many generations. At the same time, […]
Tuesday, April 9, 2024
No events on this day.
Wednesday, April 10, 2024
-
April 10, 2024 -ASSET Seminar: “What Should We “Trust” in Trustworthy Machine Learning?” (Aaron Roth, University of Pennsylvania)
-
April 10, 2024 -MEAM Ph.D. Thesis Defense: “Implementation and Performance of Wall Models for Large Eddy Simulation of Non-equilibrium Turbulent Boundary Layers”
-
April 10, 2024 -ESE Spring Seminar – “Solving Inverse Problems with Generative Priors: From Low-rank to Diffusion Models”
-
April 10, 2024ESE PhD Thesis Defense: “Scalable and Risk-Aware Verification of Learning Enabled Autonomous Systems”
-
April 10, 2024 -Spring 2024 GRASP SFI: Michel Hidalgo, Ekumen, “Doing robotics in digital labs: Or how simulations fuel robotics development”
-
April 10, 2024 -CBE Seminar: “Role of Water in Underwater Adhesion” (Ali Dhinojwala, University of Akron)
ASSET Seminar: “What Should We “Trust” in Trustworthy Machine Learning?” (Aaron Roth, University of Pennsylvania)
ABSTRACT: "Trustworthy Machine Learning" has become a buzz-word in recent years. But what exactly are the semantics of the promise that we are supposed to trust? In this talk we will make a proposal, through the lens of downstream decision makers using machine learning predictions of payoff relevant states: Predictions are "Trustworthy" if it is in the interests of the downstream decision […]
MEAM Ph.D. Thesis Defense: “Implementation and Performance of Wall Models for Large Eddy Simulation of Non-equilibrium Turbulent Boundary Layers”
Accurate prediction of high-Reynolds-number wall-bounded turbulent flows is essential for the understanding and flow control of many engineering applications such as aircraft, turbomachinery, and marine vehicles. Additionally, most practical flows exhibit nonequilibrium effects such as pressure gradient, flow separation, and mean three-dimensionality. However, the direct numerical simulation (DNS) of high-Reynolds-number wall-bounded turbulent flows is not […]
ESE Spring Seminar – “Solving Inverse Problems with Generative Priors: From Low-rank to Diffusion Models”
: Generative priors are effective countermeasures to combat the curse of dimensionality, and enable efficient learning and inversion that otherwise are ill-posed, in data science. This talk begins with the classical low-rank prior, and introduces scaled gradient descent (ScaledGD), a simple iterative approach to directly recover the low-rank factors for a wide range of matrix […]
ESE PhD Thesis Defense: “Scalable and Risk-Aware Verification of Learning Enabled Autonomous Systems”
As autonomous systems become more prevalent, ensuring their safety will become more and more important. However, deriving guarantees for these systems is becoming increasingly difficult due to the use of black box, learning enabled components and the growing range of operating domains in which they are deployed. The complexity of the learning-enabled components greatly increases […]
Spring 2024 GRASP SFI: Michel Hidalgo, Ekumen, “Doing robotics in digital labs: Or how simulations fuel robotics development”
This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. This week's speaker will be virtual. Seminar attendees are also invited to a group discussion with Michel Hidalgo on Thursday, April 11th from 3:00 PM to 4:00 PM on this link. ABSTRACT How do you do robotics without robots? […]
CBE Seminar: “Role of Water in Underwater Adhesion” (Ali Dhinojwala, University of Akron)
Abstract Roughness and wetness can disrupt interfacial bonding and reduce adhesion, and this phenomenon is of relevance for many biological and engineering applications. I will discuss how roughness affects both dry and wet adhesion as well as provide an overview of our current theoretical understanding in this area. My specific interest is in underwater adhesion, […]
Thursday, April 11, 2024
-
April 11, 2024 -MSE Seminar: “Thermal Architecture”
MSE Seminar: “Thermal Architecture”
Air conditioning accounts for nearly 20% of the total electricity used in buildings globally and cooling energy demand is predicted to significantly increase over the next decades due to urbanization, population growth, and global warming. Heat stress is a major environmental justice concern, disproportionally impacting disadvantaged communities. What are the paths to reduce the massive energy […]
Friday, April 12, 2024
-
April 12, 2024 -MEAM Ph.D. Thesis Defense: “Controlling Fracture Behavior Through Architecture”
-
April 12, 2024 -Spring 2024 GRASP on Robotics: David Fridovich-Keil, University of Texas at Austin, “Information-Aware Algorithms for Smooth Dynamic Games”
-
April 12, 2024 -PICS Colloquium: “Modeling Lone Pair Dynamics in Materials”
-
April 12, 2024 -CBE Doctoral Dissertation Defense: “A Multifaceted Approach to CO2 Emissions Reductions and Removals” (Maxwell Pisciotta)
-
April 12, 2024 -Career Steps Before Graduation Seminar
MEAM Ph.D. Thesis Defense: “Controlling Fracture Behavior Through Architecture”
Many natural materials achieve excellent combinations of mechanical properties through their micro- and nano-scale structures, which leverage a level of complexity currently unmatched in engineering design. Recent advances in digital manufacturing have enabled the introduction of these fine-scale architectures to improve the mechanical properties of materials, but their intricacy still lags far behind that of […]
Spring 2024 GRASP on Robotics: David Fridovich-Keil, University of Texas at Austin, “Information-Aware Algorithms for Smooth Dynamic Games”
This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom. ABSTRACT This talk introduces dynamic game theory as a natural modeling tool for multi-agent interactions ranging from large, abstract systems such as ride-hailing networks to more concrete, physically-embodied robotic settings such as collision-avoidance in traffic. We present the […]
PICS Colloquium: “Modeling Lone Pair Dynamics in Materials”
Materials properties are governed by the structure and dynamics of the bonds between their constituent atoms. In addition to covalent, metallic, and ionic interactions that we typically think about, lone pair electrons can result in non-trivial directional interactions in materials. I will discuss molecular interactions involving lone pairs in materials, focusing on results from molecular […]
CBE Doctoral Dissertation Defense: “A Multifaceted Approach to CO2 Emissions Reductions and Removals” (Maxwell Pisciotta)
Abstract: The scientific consensus is that climate change is not only actively occurring, but that it is irrevocably due to human activities associated with greenhouse gas emissions. Greenhouse gas emissions have been accumulating in the atmosphere since the beginning of the industrial revolution. This thesis specifically focuses on one greenhouse gas in particular, CO 2 […]
Career Steps Before Graduation Seminar
On Friday, April 12,2024, the Department of Materials Science and Engineering is hosting an information session dedicated to equipping you with insights on the essential steps to secure a career after graduation, with staff from UPenn Career Services and ISSS (International Student and Scholar Services) lending their expertise on prevailing job trends and providing guidance […]
Saturday, April 13, 2024
No events on this day.