Ilse Ipsen

• Plenary talk, SIAM Conference on Applied Linear Algebra, Paris, France, 2024 
• ICIAM Olga-Taussky Todd Prize Lecture, Tokyo, Japan, 2023
• Fellow, American Association for the Advancement of Science (AAAS), 2018
• Fellow, Society for Industrial and Applied Mathematics (SIAM), 2011

Hangjie Ji

• August 26 – 30, 2024, “Mean field control of thin film droplet dynamics”, Workshop on liquid thin films at the Max Planck Institute for Mathematics in the Sciences in Leipzig, Germany.
• April 2024, “Coarsening and mean field control of volatile droplets”, Conference on “The Cahn-Hilliard equation – recent advances and new challenges”, European Centre for Geological Education, Checiny, Poland
• November 2023, “Coarsening of thin films with weak condensation”,  OxPDE Seminar, Mathematical Institute, University of Oxford, Oxford, UK
• April 2023, “Fiber coating dynamics: modeling, theory, and algorithms”, Applied and Computational Mathematics (ACM) Seminar, University of South Carolina, Columbia, SC
• March 23, 2023, “Fiber coating dynamics: modeling, theory, and algorithms” at the Math Department Colloquium at Wake Forest University. 

Arvind Saibaba

•  Plenary speaker, Workshop on Mathematics of Digital Twins 2024

Hien Tran

• April 15 – 18, 2024, gave an in-person mini special topic course “Machine Learning: Mathematical Foundation and Practical Applications” to more than 100 faculty and students (undergraduate and graduate students) at the Can Tho University, Can Tho, Vietnam.
• Winter semester 2023/2024, invited to give five 90-minutes lectures to PhD students in the course “Optimization and Control in Physiological Systems: Modeling Techniques and Applications in Medicine”, at the Institute for Mathematics, University of Graz, Austria.
• Twenty-Seventh International Vacuum Electronics Conference (IVEC) April 20-23, 2026.
  Applications of Design Optimization Techniques and Machine Learning in Electron Guns and Gyrotrons
  Abstract: Design optimization techniques are central in various areas, such as manufacturing, engineering, biology, and management. Engineering design is an iterative process that engineers follow to develop a product that meets specified criteria and constraints. In fact, this process is time-consuming and can be tedious and repetitive, often involving manual calculations. Design optimization is a process that can replace an iterative design process to improve a design with the best possible performance according to a set of predefined criteria. The primary goal is to find the optimal set of design variables that maximize or minimize an objective function while satisfying all design constraints. In this talk, we present our joint work with engineers at Calabazas Creek Research, Inc. in leveraging design optimization techniques to improve the design of several electron gun devices, including a multiple bream electron gun. In addition, recent results on the integration of machine learning to automatically characterize gyrotrons for optimum performance will also be presented.