Stochastic Numerics PI Professor Raul Tempone (Chair) and Computational Probability PI Professor Ajay Jasra (Co-Chair)
Sunday, May 19, 2024, 08:00
- 17:00
KAUST, Auditorium 0215
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Dear Kaustians, We are excited to announce the upcoming Stochastic Numerics and Statistical Learning: Theory and Applications Workshop 2024, taking place at KAUST, Building 9, from May 19-30, 2024. Following the highly successful 2022 and 2023 editions, this year's workshop promises to be another engaging and insightful event for researchers, faculty members, and students interested in stochastic algorithms, statistical learning, optimization, and approximation. The 2024 workshop aims to build on the achievements of last year's event, which featured 28 talks, two mini-courses, and two poster sessions, attracting over 150 participants from various universities and research institutes. In previous two years attendees had the opportunity to learn from through insightful talks, interactive mini-courses, and vibrant poster sessions. This year, the workshop will once again showcase contributions that offer mathematical foundations for algorithmic analysis or highlight relevant applications. Confirmed speakers include renowned experts from institutions such as Ecole Polytechnique, EPFL, Université Pierre et Marie Curie - Paris VI, and Imperial College London, among others.
Sunday, May 05, 2024, 12:00
- 13:00
Building 9, Level 2, Room 2325
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Nowadays, videos are omnipresent in our daily lives. From TikTok clips to Bilibili videos, from surveillance footage to vlogs recordings, the sheer volume of video content is staggering. Processing and analyzing the substantial volume of video data demands immense human effort. While computer vision techniques have made remarkable progress in automating video understanding in short clips, their effectiveness and efficiency when applied to long-form videos still fall short of the mark.
Prof. Francesca Gardini, Università di Pavia
Tuesday, April 30, 2024, 16:00
- 17:00
Building 1, Level 3, Room 3119
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We will discuss the solution of eigenvalue problems associated with partial differential equations (PDE)s that can be written in the generalised form Ax = λMx, where the matrices A and/or M may depend on a scalar parameter. Parameter dependent matrices occur frequently when stabilised formulations are used for the numerical approximation of PDEs. With the help of classical numerical examples we will show that the presence of one (or both) parameters can produce unexpected results.
Ahmed Mustaque, School of Computer Science, Georgia Tech
Sunday, April 28, 2024, 12:00
- 13:00
Building 9, Level 2, Room 2325
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Malicious software or malware is a serious cybersecurity threat and the research community has explored it extensively for almost three decades. Since it is believed that people are often the weak link in cybersecurity, exploring malware attacks and defenses in the human context can provide new insights into how the threat posed by malware can be addressed.
Mustaque Ahamad is a professor in the School of Cybersecurity and Privacy, the Georgia Institute of Technology.
Sunday, April 28, 2024, 12:00
- 13:00
Building 9, Level 2, Room 2325, Hall 2
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Abstract

Malicious software or malware is a serious cybersecurity threat, and the research communi

Emeka Chukwureh, Customer Flexibility Solutions, an innovation implementation unit at ENOWA, NEOM
Sunday, April 21, 2024, 12:00
- 13:00
Building 9, Level 2, Room 2325
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A 100% renewable-based power system requires higher energy flexibility than conventional grids. ENOWA is developing an Energy Flexible Manufacturing Design Service in collaboration with OXAGON’s Advanced and Clean Manufacturing.
Sunday, April 14, 2024, 12:00
- 13:00
Building 9, Level 2, Room 2325
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This talk will provide a recent topic of the III-nitride-based visible light-emitting diodes (LEDs). The InGaN-based blue LEDs are very contributed to energy-saving for light sources all over the world. Therefore, the 2014 Nobel Prize in Physics was awarded to the inventors of blue LEDs.
Sunday, March 31, 2024, 12:00
- 13:00
Building 9, Level 2, Room 2325
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The traditional trajectory of electronic device scaling, guided by Moore's law, is currently encountering physical limitations. To address this, the "More-than-Moore" (MtM) trend has emerged, emphasizing the diversification of device functionalities to include sensing, storing, and processing data.
Thursday, March 28, 2024, 12:00
- 13:00
Building 9, Level 2, Room 2325, Hall 2
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As more and more modern time series data sets are becoming high dimensional, the problem of classification in this context has received increasing attention. We propose a statistical framework for classifying multivariate stationary Gaussian time series where the number of covariates, the length of the series, and the sample size, all grow to infinity.
Prof. Edgard Pimentel, Department of Mathematics of the University of Coimbra
Tuesday, March 26, 2024, 16:00
- 17:00
Building 2, Level 5, Room 5220
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Hessian-dependent functionals play a pivotal role in a wide latitude of problems in mathematics. Arising in the context of differential geometry and probability theory, this class of problems find applications in the mechanics of deformable media (mostly in elasticity theory) and the modelling of slow viscous fluids. We study such functionals from three distinct perspectives.
Fajri Koto, Postdoc, MBZUAI
Tuesday, March 26, 2024, 09:00
- 10:00
Building 9, Level 4, Room 4225
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Democratizing NLP across numerous languages is a non-trivial task, as it may encounter challenges related to data scarcity, limitations in computational resources, and the intricacies of multilingual and multicultural diversity. The speaker will discuss the efforts and findings in tackling these challenges in this talk. To begin, data scarcity and inconsistency in metadata present common obstacles in low-resource NLP, complicating the understanding of the NLP landscape for low-resource languages.
Wei Bai, Principal Software Research Architect, NVIDIA
Monday, March 25, 2024, 11:30
- 12:30
Building 9, Level 2, Room 2325
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Remote Direct Memory Access (RDMA) has long been recognized as a powerful technology for high-performance computing and data-intensive applications. In this talk, I will present our experience in deploying intra-region RDMA to support storage workloads in Azure.
Sunday, March 24, 2024, 15:00
- 17:00
Building 3, Level 5, Room 5209
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The emergence of large language models in text generation has markedly transformed our technological environment, significantly impacting our daily digital interactions.
Sunday, March 24, 2024, 12:00
- 13:30
Building 9, Level 2, Room 2325
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The electric grid is the backbone of our society and economy. It powers our homes, businesses, and transportation systems. With the advances in technology and the increasing use of renewables, the 3D era (decarbonization, decentralization, digitization) of power systems is facing new challenges. I will discuss how such challenges drive power grid evolution and how the temporal fluctuations of renewable sources impact the grid’s vulnerability. I will also provide methods how we are addressing these threats to ensure that the grid remains secure and resilient. I will conclude my talk with a brief description of my future research plans and a few slides about my research supervision, teaching activities, and visibility of my research group.
Dr. Mohammad Vaseem and Dr. Sakandar Rauf, Electrical and Computer Engineering, KAUST
Sunday, March 24, 2024, 12:00
- 13:00
Building 9, Level 2, Room 2325
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Advances in flexible and wearable electronics with wireless sensing system have created new paradigms of applications for smart living. One important application is the development of advanced health monitoring that enable people to stay better informed about physiological changes in their bodies.
Thursday, March 21, 2024, 12:00
- 13:00
Building 9, Level 2, Room 2325, Hall 2
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In this work, we employ importance sampling (IS) techniques to track a small over-threshold probability of a running maximum associated with the solution of a stochastic differential equation (SDE) within the framework of ensemble Kalman filtering (EnKF).
Tuesday, March 19, 2024, 16:00
- 17:30
Building 9, Level 2, Room 2325
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Artificial materials represent composite media that can be meticulously engineered to exhibit unique wave propagation behaviors. Our research endeavors are driven by the intriguing principles underlying these materials, such as effective models, and their broad applications, including perfect absorption. In this presentation, I will outline our recent advancements in our innovative design strategies for novel artificial materials from both forward first-principle physics-based modeling and data-driven approaches. Specifically, I will highlight our pioneering work in the designs of double-zero-index materials for both electromagnetic and acoustic waves. Additionally, I will discuss our discovery of the acoustic Purcell effect for enhanced emission, as well as our development of analytic and numerical solutions for space-time modulated wave systems. Furthermore, I will delve into our practical solution for achieving broad frequency cloaking of invisibility. These accomplishments hold significant promise for a wide range of applications spanning sound control, communication, sensing, imaging and more.
Marios Kogias, Assistant Professor, Computing Department, Imperial College, London
Monday, March 18, 2024, 11:30
- 12:30
Building 9, Level 2, Room 2325
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Datacenters are the cornerstone of our digital lives since they can be viewed as just the other end of our smartphones. From an infrastructure point of view, although they started as a scale-out exercise for commodity off-the-shelf hardware, over the last years we are observing a shift from that paradigm with the emergence of increasingly fast network and storage IO devices, programmable accelerators, and new fast interconnects.
Yury Dvorkin, Associate Professor, Departments of Civil and Systems Engineering and Electrical and Computer Engineering, Johns Hopkins University
Sunday, March 17, 2024, 12:00
- 13:00
B9, L2, R2325
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Advances in uncertainty quantification enable more nuanced exploration of decision-making under risk in complex environments.
Tuesday, March 12, 2024, 15:30
- 17:30
B9, LH1, R2322
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The seminars will be delivered in person by Jürgen Schmidhuber, Director of the KAUST AI Initiative, and will run weekly during the spring semester. The program will start with aspects of the theory of computation and delve into many topics not typically covered in a deep learning course. This is a truly unique opportunity to learn from one of the founders in artificial intelligence.
Fabio Credali, Postdoc at IMATI, Pavia
Tuesday, March 12, 2024, 14:30
- 15:30
B1, L4, seaside, R4214
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In 2019, diabetes caused 1.5 million global deaths, with 48% occurring before age 70. While Type 1 diabetes strongly depends on genetic components and is usually diagnosed in childhood, Type 2 diabetes is primarily caused by long term consumption of high calories foods. Lifestyle choices significantly influence the risk of Type 2 diabetes and obesity, including energy intake, diet composition, physical activity, and smoking.
Monday, March 11, 2024, 11:30
- 12:30
B9, L2, R2325
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To protect privacy of training data for deep learning models, one line of work proposes to use Differential Privacy (DP). Over recent years, a substantial body of research has emerged, proposing a diverse array of differentially private training algorithms tailored to various deep learning models.