Entrepreneurship Seminar Series: Pathways to Impact This session brings together a panel of current and former faculty and PhDs that have brought their technology to market and have worked in both academia and commerce. Panelists will discuss the opportunities and approaches they took to create companies, leverage experience in academia, and drive research into commercial […]
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 […]
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 […]
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 […]
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 […]
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, […]
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 […]
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 […]
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 […]
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, […]
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 […]