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Singh Center for Nanotechnology 2021 Annual User Meeting

MEAM Seminar: “Electrets, Magnetics and Deformation in Soft Materials”

Soft robotics, energy harvesting, large-deformation sensing and actuation, are just some of the applications that can be enabled by soft dielectrics that demonstrate substantive electromechanical coupling. Imagine now also a material that will produce electricity and deform substantively via a contactless, wireless magnetic signal. Unfortunately, truly soft, naturally occurring piezoelectric or magnetoelectric materials essentially do […]

Technology, Business and Government Lecture: Arvind Krishna, Chairman and CEO, IBM

You can view the recording of this event with this link: Zoom link

ESE PhD Dissertation Defense: “Balancing Fit and Complexity in Learned Representations”

Thesis Title: Balancing Fit and Complexity in Learned Representations Abstract: This dissertation is about learning representations of functions while restricting complexity. In machine learning, maximizing the fit and minimizing the complexity are two conflicting objectives. Common approaches to this problem involve solving a regularized empirical minimization problem, with a complexity measure regularizer and a regularizing […]

Penn Engineering Commencement: Undergraduate and Master’s Virtual Recognition

Join us to hear a message from Dr. Vijay Kumar, Nemirovsky Family Dean of Penn Engineering, remarks from student speakers and respected alumni, and messages from professors and parents. In addition, we will host a virtual roll call for the Class of 2021 undergraduate and master’s graduates and each student will be recognized with their […]

Penn Engineering Commencement: Doctoral Ceremony Virtual Recognition

Join us to hear a message from Dr. Vijay Kumar, Nemirovsky Family Dean of Penn Engineering, and view a virtual roll call of the Class of 2021 doctoral graduates, complete with video messages from our graduates and members of the Penn Engineering faculty. Learn more.

ESE Seminar: “Demystifying the Efficiency of Reinforcement Learning: Two Recent Stories”

Reinforcement learning (RL), which is frequently modeled as sequential learning and decision making in the face of uncertainty, is garnering growing interest in recent years due to its remarkable success in practice. In contemporary RL applications, it is increasingly more common to encounter environments with prohibitively large state and action space, thus imposing stringent requirements on the […]

MSE Seminar: “Predicting and Controlling Scalable Quantum Systems”

Quantum materials host spectacular excited-state and nonequilibrium effects, but many of these phenomena remain challenging to control and, consequently, technologically underexplored. My group’s research, therefore, focuses on how quantum systems behave, particularly away from equilibrium, and how we can harness these effects. By creating predictive theoretical and computational approaches to study dynamics, decoherence and correlations […]

ESE Ph.D. Thesis Defense: “Cryptographic Foundations for Control and Optimization”

Abstract: Advances in communication technologies and computational power have determined a technological shift in the data paradigm. The resulting architecture requires sensors to send local data to the cloud for global processing such as estimation, control, decision and learning, leading to both performance improvement and privacy concerns. This thesis explores the emerging field of private […]

ESE Thesis Defense: “Scalable Learning in Distributed Robot Teams”

Mobile robots are already in use for mapping, agriculture, entertainment, and the delivery of goods and people. As robotic systems continue to become more affordable, large numbers of mobile robots may be deployed concurrently to accomplish tasks faster and more efficiently. Practical deployments of very large teams will require scalable algorithms to enable the distributed […]

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