Penn Engineering Events

ESE

  1. Events
  2. ESE

Events Search and Views Navigation

Event Views Navigation

Today

ESE Fall Colloquium – “Steampunk Data Science”

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

How did scientists make sense of data before statistics and computing? This talk will explore this question by focusing on the discovery of vitamins, which occurred in the early 20th century just before the advent of modern statistical methodology. I will describe the varied practices in experimentation and reporting and highlight the sorts of insights […]

ESE Ph.D. Thesis Defense: “Lattice Theory in Multi-Agent Systems”

Moore 317 200 S 33rd Street, Philadelphia, PA, United States

Ordered sets model signals such as binary relations, concepts, partitions, rankings, matchings, events, as well as other taxa of information, temporal, hierarchical, relational, or, in general, logical in nature. We argue that (order-) lattice-based (networked) multi-agent systems constitute a broad class of systems in which data fusion, consensus, synchronization, and other collaborative tasks are described […]

MEAM Ph.D. Thesis Defense: “Room-temperature Electrochemical Healing of Structural Metals”

Greenberg Lounge (Room 114), Skirkanich Hall 210 South 33rd Street, Philadelphia, PA, United States

For over 6,000 years, repairing high-strength metallic materials has required high temperatures and large energy inputs. Likewise, recent innovations in self-healing and repairable metals have remained limited by the need for heating, the small size of repairable cracks, and the low strength and constrained chemical composition of healed metals. While welding remains the most widely […]

ESE Fall Colloquium – “On the Principles of Parsimony and Self-Consistency: Structured Compressive Closed-Loop Transcription”

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

Ten years into the revival of deep networks and artificial intelligence, we propose a theoretical framework that sheds light on understanding deep networks within a bigger picture of intelligence in general. We introduce two fundamental principles, Parsimony and Self-consistency, that address two fundamental questions regarding Intelligence: what to learn and how to learn, respectively. We […]

ESE Ph.D. Thesis Defense: “Design of Low-power CMOS Integrated Systems: from Biomedical Applications to Optical Links”

Levine 512

Electronic and photonic microsystems realized in the form of integrated circuits (IC) has been revolutionizing numerous fields that traditionally exploit bulky implementations. The advantages stemming from device miniaturization have opened up wide and growing opportunities to design for unprecedented functionality and enhanced performance. Leveraging novel CMOS and silicon photonic IC designs, this thesis presents four […]

ESE Fall Colloquium – “Phase Transitions, Symmetry, and Reed-Muller Codes on BMS Channels”

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

This talk will begin by discussing phase transitions in high-dimensional statistical inference problems. Some effort will be made to distinguish between problems with random structure (e.g., random codes and sparse PCA) and problems with deterministic structure (e.g., highly symmetric codes such as Reed-Muller codes). For problems with deterministic structure, we will observe that symmetry can […]

ESE Ph.D. Thesis Defense: “Resilient, Information Theoretic, Active Exploration for Multi-Robot Teams”

Room 313, Singh Center for Nanotechnology 3205 Walnut Street, Philadelphia, PA, United States

Over the past decades we have seen robots move from constrained and heavily designed industrial environments out into the world. Along with this shift there is a need for smaller, safer, and less expensive robots which can complete tasks autonomously in teams, sometimes covering large areas. Multi-robot teams can expand the capabilities of a single […]

ESE Ph.D. Thesis Defense: “Analysis and Control of Neural Network Dynamical Systems”

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

Integrating machine learning and control systems has achieved remarkable success in controlling complex dynamical systems such as autonomous vehicles. However, the resulting controlled system often has a neural network (NN) in the loop which represents the system dynamics, control policy, or perception. The nonlinearity and large scale of NNs make it challenging to provide formal […]

ESE Fall Colloquium – “Using Information Geometry to Find Simple Models of Complex Processes”

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

Effective theories play a fundamental role in how we reason about the world. Although real physical processes are very complicated, useful models abstract away the irrelevant degrees of freedom to give parsimonious representations. In contrast, overly complex models can be difficult to evaluate, suffer from numerical instabilities, and may overfit data. They also obscure useful […]

ESE Ph.D. Thesis Defense – “Learning and Control of Network Phenomena”

Room 401B, 3401 Walnut 3401 Walnut Street, Philadelphia, PA, United States

The intersection of dynamical systems and networks are used to model a huge variety of phenomena such as the spread of disease, multi-agent systems, opinions in social networks, and more. Many properties of these network phenomena can be understood by examining the eigenvalue spectrum of a matrix representation of the underlying graph. Using this intuition, […]