The Department of Bioengineering at the University of Pennsylvania and Dr. Flavia Vitale are pleased to announce the Doctoral Dissertation Defense of Georgios Mentzelopoulos. Title: From thoughts to actions: cracking the neural code across scales and modalities Advisor: Dr. Flavia Vitale Date: Monday, September 15th Time: 12:30 PM- 2:30 PM Location: 225 Towne Building The […]
Wound healing is an essential biological process for maintaining homeostasis and, ultimately, for survival. We investigate the mechanisms underlying extreme wound healing in Stentor coeruleus, a single-celled organism, capable of recovering from drastic membrane wounds exceeding half of the cell surface. This talk focuses on our recent effort on developing a microfluidic platform for the […]
Today, reasoning is commonly interpreted as large language models generating chains of thought. Yet historically, AI reasoning had a very different meaning: executing algorithms that manipulated symbols to perform logical or probabilistic deduction and derive definite answers to questions about knowledge. In this talk, I show that such old-fashioned ideas are very relevant to reasoning […]
Abstract: Natural products are historically great sources of human medicines, but their impacts are well beyond their use as drugs. In addition to well-known producers like environmental microbes and plants, the human microbiome is an emerging source of new natural products that often correlate with health or disease. There is an urgent need for the […]
Topological nanowires, topological materials confined in one dimension (1D), hold great promise for robust and scalable quantum computing and low-dissipation interconnect applications, which will transform current computing technologies. To do so, research in topological nanowires must continue to improve their synthesis and properties. In this talk, I will discuss my group’s efforts to develop a […]
Zoom link: https://upenn.zoom.us/j/98220304722 A Heaviside function is an indicator function of a semi-infinite interval. A Heaviside composite function is a Heaviside function composed with a multivariate function that may be nonsnooth. This talk presents a touch of this novel class of discontinuous optimization problems that borders on continuous and discrete optimization. Among the rich applications […]
Event Date: Friday, September 19, 2025 Time: 8 a.m. to 5 p.m. Event Location: Amy Gutmann Hall Auditorium Hosted by: ASSET Center for Trustworthy AI IDEAS Innovation in Data Engineering and Science The Warren Center for Network & Data Sciences DDDI Data Driven Discovery Initiative Penn AI Event Description: Please join us for a full […]
This event will have a VIRTUAL SPEAKER. Streaming will be in-person only in Wu and Chen. ABSTRACT We are in the middle of a transformation of the scientific process. AI is now rapidly automating scientific discovery by accelerating scientific simulation and optimisation. For example, we can now shortcut expensive quantum mechanical calculations such as DFT […]
Machine learning tools have tremendous potential to accelerate computationally complex physics-based simulations. One example is the need to accelerate materials discovery through first-principles Density Functional Theory (DFT) calculations. This seminar will encompass how machine learning interatomic potentials accelerate the discovery of crystalline nanoporous solids such as zeolites and metal-organic frameworks (MOFs) that are employed in […]
Biology and Engineering form an interdisciplinary two-way street. On the one side, natural solutions can inform and inspire the design of mechanical systems. This is referred to as bioinspired design. On the other side, referred to as engineering-enabled biology, controlled engineering experimental, numerical, and analytical tools are used and developed to answer fundamental biological questions […]
Power converters designed for higher frequency operation than conventional designs can be smaller and lighter. However, to gain these benefits and maintain high reliability the converters also need to be more efficient, as smaller converters offer less surface area for heat removal. The development of efficient, small and light weight power converters can benefit from […]
Simultaneous Localization and Mapping is a fundamental problem for robots interacting with a novel environment and has been a densely studied area of research for several decades. The modern paradigm of feature extraction and matching coupled with advancements in sensor technology have allowed robots to achieve sub meter localization accuracy over kilometer long trajectories in […]