CEMSE Weekly Updates - September 24, 2025 Wed, Sep 24 2025 Newsletter Upcoming Events Stay informed about the upcoming events and the latest news from CEMSE. Programmable Matter: Liquid Metal for Reconfigurable Electronics and Logic Wedyan Babatain, Ibn Rushd Postdoctoral Scholar at Massachusetts Institute of Technology (MIT) Media Lab Sep 28, 12:00 - 13:00 B9 L2 R2325 liquid metal Liquid metal (LM) represents a unique class of programmable matter that combines electrical conductivity with dynamic deformability, enabling the development of reconfigurable electronics and embodied computation. This seminar will discuss electric field-driven control of LM shape and position to achieve tunable, directional LM droplet motion. Robotics at KAUST Eric Feron, Professor, Electrical and Computer Engineering Sep 29, 12:00 - 13:00 B9 L2 R2325 robotics Robotics at KAUST is a system integration activity that relies on inputs from Computer Science, Software Engineering, Mechanical Engineering, and Electrical Engineering. A few examples of completed and ongoing robotics research at KAUST will be introduced and discussed. In addition, KAUST's new and large robotics bay will be described in detail. New Challenges in the Kinetic Theory of Complex Fluids Umberto Zerbinati, Stipendiary Lecturer, Oriel College, University of Oxford Sep 29, 16:00 - 17:00 B1 L4 R4214 PDEs numerical PDEs Kinetic Theory This seminar presents a new kinetic theory for complex fluids, detailing the development of a Boltzmann-type equation and discussing its theoretical properties concerning relaxation to equilibrium, hydrodynamic limits, and a novel energy functional for calamitic fluids. Towards Finite Element Tensor Calculus Kaibo Hu, Associate Professor, Mathematical Institute, University of Oxford Sep 30, 14:30 - 15:30 B1 L3 R3119 Finite elements tensor calculus PDEs In this talk we provide an overview of some efforts to develop finite elements for tensors, motivated by the need for structure-preserving and compatible discretization. Efficient Bayesian Methods for Biostatistics Janet van Niekerk, Research Scientist, Statistics Oct 2, 12:00 - 13:00 B9 L2 R2325 bayesian methods In this talk, I will present some case studies where we approach near real-time inference for complex Biostatistics models, such as disease mapping and brain activation mapping models, among others often encountered in the biostatistics domain, using INLA. AI for Science: AI-Driven Knowledge Discovery Dongxiao Zhang, Chair Professor, Faculty of Engineering; Provost and Executive Vice President, Eastern Institute of Technology, Ningbo (EIT) Oct 2, 14:30 - 15:30 B1 L3 R3119 AI machine learning This talk focuses on the latest progress in this area, often called AI for Science, and specifically on how AI is revolutionizing scientific exploration and the uncovering of fundamental physical laws.
