CIS Seminar: “Achieving CSforALL through the Beauty and Joy of Computing (BJC)”
Abstract: At a time when computing is so much a part of all of our lives, has incredible job opportunities, and is so empowering, most students graduate high school without having had […]
CIS Seminar: “Contesting Secure Development to Understand Security Mistakes”
Abstract: With the ongoing, frequent disclosure of the existence and exploitation of security vulnerabilities, one might wonder: How can we can build software that is more secure? In an attempt […]
PRiML Seminar: “Nonconvex Optimization Meets Statistics: A Few Recent Stories”
Recent years have seen a flurry of activity in solving statistical estimation and learning problems via nonconvex optimization. While conventional wisdom often takes a dim view of nonconvex optimization algorithms […]
CIS Seminar: “Learning in dynamic environments”
Abstract: In many online systems participants use data and algorithms to experiment and learn how to best use the system. Examples include traffic routing as well as online auctions. Game […]
CIS Seminar: “A Geometric Perspective on Computing Motion”
Abstract: The connections between geometry and mechanics have been explored for centuries. How these connections shape computation is a question we are just beginning to explore. If computers can predict how materials […]
Tedori-Callinan Lecture: “Isogeometric Analysis”
The vision of Isogeometric Analysis was first presented in a paper published October 1, 2005 [1]. Since then it has become a focus of research within both the fields of […]
CIS Seminar: “What Society Must Require from AI”
Abstract: Artificial intelligence (AI) algorithms, especially machine learning (ML) programs, are now being employed or proposed for use in: a) scanning résumés to weed out job applicants; b) evaluating risks […]
PRiML Seminar: “Building Algorithms by Playing Games”
A very popular trick for solving certain types of optimization problems is this: write your objective as the solution of a two-player zero-sum game, endow both players with an appropriate learning […]
MEAM Seminar: “Machine Learning for Robotics: Achieving Safety, Performance and Reliability by Combining Models and Data in a Closed-Loop System Architecture”
The ultimate promise of robotics is to design devices that can physically interact with the world. To date, robots have been primarily deployed in highly structured and predictable environments. However, […]
Penn Engineering Undergraduate Commencement Ceremony
Doors open for guest seating at 1:30 p.m. Access livestream here.