Announcement Upcoming Events - Nov 24 - Nov 30, 2024

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

KAUST-CEMSE-AMCS-Mathematics-and-Applications-Colloquium-Henrik-Shahgholian

Constraint Maps and their free boundaries

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Building 1, Level 3, Room 3119

I shall give an introduction to the topic of constraint maps, which sits on the intersection of free boundaries, and harmonic maps. The talk will start at level of graduate and will also smoothly merge current work that has been developed recently.
KAUST-CEMSE-AMCS-Short-Course-Henrik-Shahgholian-part2

Mathematics and Sustainability - A Teaching Perspective - Part 2

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B3, L5, R5220

In this two-part short course, I will present to the participants my recent activities related to teaching mathematics students about sustainability, including introducing and raising awareness of the sustainability topic.
KAUST-CEMSE-AMCS-Short-Course-Henrik-Shahgholian-part1

Mathematics and Sustainability - A Teaching Perspective - Part 1

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B3, L5, R 5220

In this two-part short course, I will present to the participants my recent activities related to teaching mathematics students about sustainability, including introducing and raising awareness of the sustainability topic.
KAUST-CEMSE-AMCS-PhD-Dissertation-Defense-Zhanibek-Bizak

Cost-effective Large-area Digital Circuits via Adhesive Lithography

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B3, R5, R5220

A silicon-based semiconductor has had revolutionary impact in all sectors of our lives. With approaching physical limits of further downscaling, there is a growing need for alternative materials and architectures to continue the sustain technological progress of digital circuits. The emerging technologies should tackle various challenges, including fabrication process complexity reduction, compatibility with other technologies, large-area scalability, application focused design flexibility. These challenges were addressed, and alternative solutions been provided in this dissertation work
KAUST-CEMSE-ECE-Graduate-Seminar-Ahmed-Musleh-Experimental

Experimental Cybersecurity Evaluation of Distributed Solar Inverters: Vulnerabilities and Impacts on the Australian Grid

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B9, L2, R2325

The increased adoption of solar power globally presents an environmentally sustainable alternative to traditional energy sources. However, integrating solar distributed generation (DG) systems into the power grid introduces complexities that can impact the grid’s reliability and security.
KAUST-CEMSE-AMCS_STAT-Graduate-Seminar-Laurent-Condat-LoCoDL

LoCoDL: Communication-Efficient Distributed Optimization with Local Training and Compression

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B9, L3, R3125

In distributed optimization, and even more in federated learning, communication is the main bottleneck. We introduce LoCoDL, a communication-efficient algorithm that leverages the two techniques of Local training, which reduces the communication frequency, and Compression with a large class of unbiased compressors that includes sparsification and quantization strategies.
KAUST-CEMSE-Public-Colloquium-Marco-Canini-Why-ML-Works-Its-Not-Magic

Why ML Works: It’s Not Magic, It’s Networked Systems Wizardry!

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Today’s machine learning (ML) solutions are achieving extraordinary success across diverse fields, thanks to their ability to learn complex models and deliver impressively accurate results. While the availability of big data is often credited as a driving force, the unsung hero behind ML’s rise is the rapid innovation in computing and software systems that make these breakthroughs possible and accessible.
KAUST-CEMSE-Public-colloquium-Ying-Sun-Spatio-Temporal-Statistics-In-Geo-Environmental-Data-Science

Spatio-Temporal Statistics in Geo-Environmental Data Science

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B9, L2, R2322

In this talk, I will discuss the contributions and ongoing research of my Environmental Statistics Research Group in the area of spatio-temporal statistics, with a particular focus on geo-environmental data science. Our work is primarily centered around the development and application of sophisticated statistical models that improve the understanding and management of environmental data characterized by their spatial and temporal variability. My group has made significant advances in developing better spatio-temporal models that effectively capture the complexities inherent in environmental datasets, as well as developing innovative software tools such as ExaGeoStat, ParallelVecchiaGP, and DeepKriging, which support the analysis of large-scale geostatistical datasets. During this presentation, I will also showcase our research contributions motivated by environmental applications, including multivariate time series visualization and clustering, panel data analysis for functional and spatial data, and statistical process monitoring.
KAUST-CEMSE-CS-Graduate-Seminar-Maurizio-Filippone-Data-Augmentation-is-Regularization

Data Augmentation is Regularization

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B9, L2, R2325

Data augmentation is a popular technique to considerably improve training of neural networks in various applications, such as computer vision and language modeling.
KAUST-CEMSE-ECE-Graduate-Seminar-Ahmed-Nasser

Harnessing Real-World Data for AI-Driven Wireless Communication: Exploring Cutting-Edge Testbeds for Next-Gen Solution

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B9, L2, R2325

In the quest for next-generation wireless technologies, real-world data collection has become indispensable for driving AI-based advancements, yet it poses significant challenges requiring practical deployment.