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.
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.
Dr. Elia Onofri, Research fellow, the Institute for Applied Mathematics of the National Research Council of Italy (IAC-CNR).
Thursday, April 18, 2024, 15:30
- 16:30
Building 4, Level 5, Room 5220
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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.
Thursday, April 04, 2024, 12:00
- 13:00
Building 9, Level 2, Room 2325, Hall 2
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Predicting the paths of animals poses a significant challenge, given the intricate nature of their behaviors, the impact of unpredictable environmental elements, individual differences, and the scarcity of precise data on their movements.
Monday, April 01, 2024, 11:30
- 12:30
Building 9, Level 2, Room 2325
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Computational imaging systems are based on the joint design of optics and associated image reconstruction algorithms. Of particular interest in recent years has been the development of end-to-end learned “Deep Optics” systems that use differentiable optical simulation in combination with backpropagation to simultaneously learn optical design and deep network post-processing for applications such as hyperspectral imaging, HDR, or extended depth of field. In this talk I will in particular focus on new developments that expand the design space of such systems from simple DOE optics to compound refractive optics and mixtures of different types of optical components.
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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The graduate seminar planned for March 24, from 12:00 to 13:00, has been canceled.
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.