This will be a hybrid event with in-person attendance in Levine 307 and virtual attendance on Zoom. ABSTRACT Why has autonomous driving, a task demanding significant intelligence, not met the […]
Abstract Supported noble metal catalysts are extensively used in industry and their catalytic performance is strongly affected by particle size and shape. In the last decade, supported single atoms and […]
Although machine intelligence is taking over the world, its current digital electronic platform is very inefficient in terms of energy consumption. Switching to analogue computation, which function more like human […]
Much is known about oxygen interaction with metal surfaces and about the macroscopic growth of thermodynamically stable oxides. At present, however, the transient stages of oxidation - from nucleation of […]
The rich set of mechanoreceptors found in human skin offers a versatile engineering interface for transmitting information and eliciting perceptions, potentially serving a broad range of applications in patient care […]
Note that this seminar will be held in Wu & Chen Auditorium (Levine 101). Humans and animals exhibit a range of interesting behaviors in complex environments, and it is unclear […]
Many relevant engineering fluid dynamics problems, such as turbulent flow over an airplane or transport processes in geophysical flows, contain wall-bounded regions that form boundary layers. Oftentimes, numerical and experimental […]
This is a hybrid event with in-person attendance in Wu and Chen and virtual attendance on Zoom. ABSTRACT After 39 years as a faculty member with continuous NSF support, the […]
"Can a cell learn?" Ever since the genetic code was deciphered, we have increasingly come to view cellular control through the lens of genetic determinism. In this paradigm, a cell's […]
ABSTRACT: "Trustworthy Machine Learning" has become a buzz-word in recent years. But what exactly are the semantics of the promise that we are supposed to trust? In this talk we will make a proposal, through the lens […]
Accurate prediction of high-Reynolds-number wall-bounded turbulent flows is essential for the understanding and flow control of many engineering applications such as aircraft, turbomachinery, and marine vehicles. Additionally, most practical flows […]
As autonomous systems become more prevalent, ensuring their safety will become more and more important. However, deriving guarantees for these systems is becoming increasingly difficult due to the use of […]