FAU MoD Lecture: Control Design for Mixing in Incompressible Flows

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.

See poster

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

 
You might like:
• FAU MoD Lectures
• FAU MoD Lectures Series. Special December 2024 by Prof. Dr. Holger Rauhut and Prof. Dr. Christian Bär
• FAU MoD Lecture: Measuring productivity and fixedness in lexico-syntactic constructions by Prof. Dr. Stephanie Evert
• FAU MoD Lecture: New avenues for the interaction of computational mechanics and machine learning by Prof. Dr. Paolo Zunino
• FAU MoD Lecture: Thoughts on Machine Learning by Prof. Dr. Rupert Klein
• FAU MoD Lecture: Using system knowledge for improved sample efficiency in data-driven modeling and control of complex technical systems by Prof. Dr. Sebastian Peitz
• FAU MoD Lecture: Image Reconstruction – The Dialectic of Modelling and Learning by Prof. Dr. Martin Burger
• FAU MoD Lecture: The role of Artificial Intelligence in the future of mathematics by Prof. Dr. Amaury Hayat
• FAU MoD Lecture: FAU MoD Lecture. Special November 2023 by Prof. Dr. Michael Kohlhase and Prof. Dr. Edriss S. Titi
• FAU MoD Lecture: Free boundary regularity for the obstacle problem by Prof. Dr. Alessio Figalli
• FAU MoD Lecture: Physics-Based and Data-Driven-Based Algorithms for the Simulation of the Heart Function by Prof. Dr. Alfio Quarteroni
• FAU MoD Lecture: From Physics-Informed Machine Learning to Physics-Informed Machine Intelligence: Quo Vadimus? by Prof. Dr. George Karniadakis
• FAU MoD Lecture: From Alan Turing to contact geometry: Towards a “Fluid computer” by Prof. Dr. Eva Miranda
• FAU MoD Lecture: Applications of AAA Rational Approximation by Prof. Dr. Nick Trefethen
• FAU MoD Lecture: Learning-Based Optimization and PDE Control in User-Assignable Finite Time by Prof. Dr. Miroslav Krstic

  
_
Don’t miss out our last news and connect with us!

LinkedIn | X (Twitter) | Instagram | YouTube