Date: Thu. December 05, 2024
Event: FAU MoD Lecture
Organized by: FAU MoD, the Research Center for Mathematics of Data at Friedrich-Alexander-Universität Erlangen-Nürnberg (Germany)
FAU MoD Lecture: Control Design for Mixing in Incompressible Flows
Speaker: Prof. Dr. Weiwei Hu
Affiliation: Visiting Professor at FAU DCN-AvH from University of Georgia, Athens (UGA)
Abstract. Understanding mass transport, fluid mixing, and their asymptotic behaviors via active con- trol of the flow advection leads to fundamental, yet highly challenging problems often found in industrial and engineering applications. Examples include, but are certainly not limited to, ventilation in energy efficient buildings, mixing for bioorganic nutrient conversion, and activated sludge systems in industrial wastewater treatment. From a theoretic perspective, mixing has been studied by means of dynamical systems theory, homogenization, turbulence theory, control and optimization, etc. In this talk, we focus on control design for enhancing transport and mixing in incompressible flows. We will present some recent progresses as well as some open questions.
BIO.- Weiwei Hu is an Associate Professor of Mathematics at the University of Georgia (UGA), USA. Before joining UGA, Dr. Hu hold a tenure-track position in Mathematics at the Oklahoma State University from August 2016 to July 2019. She also held a Postdoctoral Fellowship at the Institute for Mathematics and its Applications, University of Minnesota, on the program “Control Theory and its Applications” from September 2015 to August 2016, and a non-tenure-track Assistant Professor position in Mathematics at the University of Southern California from August 2012 to May 2015. She received her doctorate in Applied Mathematics at Virginia Tech in May 2012. Dr. Hu’s current research interests include mathematical control theory of partial differential equations, control and estimation of flow-transport systems, and computational methods for optimal control designs. She has been awarded various grants from NSF and DOD. She was also awarded the Humboldt Research Fellowship for Experienced Researchers in 2024.
AUDIENCE
This is a hybrid event (On-site/online) open to: Public, Students, Postdocs, Professors, Faculty, Alumni and the scientific community all around the world.
WHEN
Thu. December 05, 2024 at 11:00H (Berlin time)
WHERE
On-site / Online
[On-site] Friedrich-Alexander-Universität Erlangen-NürnbergRoom 01.019 Seminarraum
Elektrotechnik, 1. OG
Cauerstraße 7-9, 91058 Erlangen
GPS-Koord. Raum: 49.573008N, 11.028336E [Online] https://go.fau.de/1bcfg
Meeting ID: 667 9081 1368 | PIN code: 716845
This event at LinkedIn
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