Upcoming Events - Jan 26 - Feb 1, 2025

Stay informed about the latest events happening within the CEMSE Division. Here is what is coming up next week:

KAUST-CEMSE-NumPDE-Workshop-2024

NumPDE Workshop: Numerical Analysis of PDEs

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Sunday 26/01 (morning, 8.45-13.30) - Auditorium between Building 2 and Building 3; Sunday 26/01 (afternoon, from 13.45) - Building 9, Room 2322 (Lecture Hall); Monday 27/01 and Tuesday 28/01 - Auditorium between Building 4 and Building 5

Explore cutting-edge numerical analysis of PDEs, including Finite Element Methods, Virtual Element Methods, and Isogeometric Analysis, with leading experts.
KAUST-CEMSE-ECE-Graduate-Seminar-Mritunjay-Kumar-High-Temperature-Performance-and-Heterogenous-Integration

High Temperature Performance and Heterogenous Integration of AlGaN/GaN HEMTs for Power Electronics

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B9, L2, R2325

Power integrated circuits (PICs) for extreme-temperature applications, such as space exploration (e.g., Venus) and advanced automotive systems, require devices capable of reliable operation under harsh conditions.
KAUST-CEMSE-CS-Graduate-Seminar-Peter-Wonka-Comments-about-Research-in-Computer-Science

Comments about Research in Computer Science

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B9, L2, R2325

In this talk, I will present my personal opinions about various topics in research, for example: What are the goals of research? What is a good research topic? What skills are important for research? What are different styles of research? What are the different types of organizing research? Etc.
KAUST-CEMSE-ECE-PhD-Dissertation-Defense-Mritunjay-Kumar

Extreme Temperature Performance and Heterogenous Integration of AlGaN/GaN HEMTs for Power Electronics

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B2, L5, R5220

Power integrated circuits (PICs) for extreme temperature applications, such as space exploration and automotive systems, require devices that can operate reliably under harsh conditions.
kaust-amcs-Professor-Lourenco-Beirao-da-Veiga

An introduction to Virtual Elements in 3D

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B1, L3, R3119

The Virtual Element Method (VEM), is a very recent technology introduced in for the discretization of partial differential equations, that has shared a good success in recent years. The VEM can be interpreted as a generalization of the Finite Element Method that allows to use general polygonal and polyhedral meshes, still keeping the same coding complexity and allowing for arbitrary degree of accuracy. The Virtual Element Method makes use of local functions that are not necessarily polynomials and are defined in an implicit way. Nevertheless, by a wise choice of the degrees of freedom and introducing a novel construction of the associated stiffness matrixes, the VEM avoids the explicit integration of such shape functions.