PSOC Seminar: Jamal S. Lewis, University of Florida

Raisler Lounge (Room 225), Towne Building 220 South 33rd Street, Philadelphia, PA, United States

Fall 2022 Hybrid-Seminar Series Mondays 1.00-2.00 pm (EST) Towne 225 / Raisler Lounge   For Zoom link, please contact <manu@seas.upenn.edu

MEAM Seminar: “Predicting and Reducing High-Speed Jet Noise”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

The intense noise radiated by supersonic jets leads to sound-induced structural vibration, fatigue and personnel-related operational difficulties. Experimental, theoretical, and computational investigations into the physics and control of jet noise have identified several important sound sources, including wavepackets, screech, Mach wave radiation, and broadband shock associated noise. Reducing the loudest sources of jet noise, without […]

ASSET Seminar: How to Design Molecules that Dock Well but Can’t Exist, Jacob Gardner, Ph.D.

Levine 307 3330 Walnut Street, Philadelphia, PA, United States

ABSTRACT:BIO Machine learning has become an indispensable aid to researchers developing the next generation of novel therapeutics. In this talk, I will discuss how some of the most important problems  in virtual screening for new potential drug molecules can be cast as black-box optimization problems, where the goal is to find molecules maximizing some desired property […]

Fall 2022 GRASP SFI: Charlie Andersen and Terry Scott, Burro, “Founders’ journey of building a robotics company in Philadelphia”

Levine 307 3330 Walnut Street, Philadelphia, PA, United States

This is a hybrid event with in-person attendance in Levine 307 and virtual attendance via Zoom. ABSTRACT Charlie Andersen (CEO) and Terry Scott (CTO) are two of the founders of Burro. They share their origin story of Burro and we follow their journey of building a robotics company and a product intended to bring new […]

MSE Seminar: “A More Sustainable Future via Polymer Circularity”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

In a Circular Economy, atoms and molecules are kept inside the economy where they continue to produce value, and they are kept out of unwanted places like our environment.  At a high level, this concept applied to polymers and plastics should reduce the flow of material into the environment, while improving efficiency and reducing demand […]

Fall 2022 GRASP on Robotics: Daniel Hashimoto, University of Pennsylvania, “Building Multidisciplinary Teams for Surgical Translation of Artificial Intelligence”

Wu and Chen Auditorium (Room 101), Levine Hall 3330 Walnut Street, Philadelphia, PA, United States

This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance via Zoom. ABSTRACT Surgical Data Science aims to improve the quality of interventional healthcare and its value through capture, organization, analysis and modelling of data. The operating room has long been siloed from in-depth review and analysis, but recent advances in […]

MEAM Seminar: “Mechanical Behavior of Self-healing Hydrogels with Chemical and Physical Cross-links: Theory and Experiments”

Zoom - Email MEAM for Link peterlit@seas.upenn.edu

In recent years polymer chemists have made tremendous strides in the synthesis of biocompatible, tough, self-healing hydrogels. However, there are not many comprehensive mechanical models that capture the observed time dependent mechanical behavior of these gels (especially fracture) to the underlying, rate dependent bond breaking and reformation processes. In this talk I will summarize some […]

ASSET Seminar: Building certifiably safe and correct large-scale autonomy, Chuchu Fan (Massachusetts Institute of Technology)

Levine 307 3330 Walnut Street, Philadelphia, PA, United States

ABSTRACT: The introduction of machine learning (ML) and artificial intelligence (AI) creates unprecedented opportunities for achieving full autonomy. However, learning-based methods in building autonomous systems can be extremely brittle in practice and are not designed to be verifiable. In this talk, I will present several of our recent efforts that combine ML with formal methods […]