Mathematics and Applications Colloquium

Virtual Element Approximation of Eigenvalue Problems

Prof. Francesca Gardini, Università di Pavia
Tuesday, April 30, 2024, 16:00
- 17:00
Building 1, Level 3, Room 3119
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.
Mathematics and Applications Colloquium

Hessian-dependent Functionals: Mean Field Games, Free Boundaries and Improved Regularity

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
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.
Mathematics and Applications Colloquium

WAN Approximation of PDEs: Best Approximation, Stabilization and Boundary Conditions

Prof. Silvia Bertoluzza
Tuesday, March 05, 2024, 16:00
- 17:00
Building 2, Level 5, Room 5209
We present a theoretical analysis of the Weak Adversarial Networks (WAN) method, recently proposed in [1, 2], as a method for approximating the solution of partial differential equations in high dimensions and tested in the framework of inverse problems. In a very general abstract framework.
Mathematics and Applications Colloquium

Critical Phenomena in Financial Markets and Social Networks

Prof. Christof Schmidhuber, ZHAW School of Engineering
Tuesday, February 27, 2024, 16:00
- 17:00
Building 9, Level 2, Room 2322
Contact Person
Gabriel Wittum
Analogies between financial markets and critical phenomena have long been observed empirically. So far, no convincing theory has emerged that can explain these empirical observations. Here, we take a step towards such a theory by modeling financial markets as a lattice gas.
Dean's Distinguished Lecture

AI for Science: a new paradigm for scientific discovery

Yuan (Alan) Qi, Professor, Fudan University, Director of Shanghai Academy of AI for Science, China
Monday, February 19, 2024, 11:30
- 12:30
Building 9, Level 2, Room 2325
Contact Person
Di Wang
AI has become a driving force for new scientific discovery. In this talk I will present our recent work in generative AI for sub-seasonal weather forecast, drug design and molecular modeling, where we outperformed state-of-the art prediction accuracy with dramatic reduction in computational resources. These works demonstrate the importance of the integration of AI with scientific problems and its transformative potential in both theoretical and practical applications.
Mathematics and Applications Colloquium

Fast Solution Methods for Wave Propagation Problems: From Classical Domain Decomposition Solvers to Learning

Prof. Dr. Victorita Dolean, Mathematics and Computer Science, Scientific Computing, TU Eindhoven
Tuesday, February 06, 2024, 16:00
- 17:00
Building 2, Level 5, Room 5220
Wave propagation and scattering problems are of huge importance in many applications in science and engineering - e.g., in seismic and medical imaging and more generally in acoustics and electromagnetics.
Short Course

A Posteriori Error Estimation and Adaptivity for Elliptic Interface Problems

Prof. Zhiming Chen, Academy of mathematics and Systems Science, Chinese Academy of Sciences
Wednesday, January 24, 2024, 14:30
- 16:00
Building 4, Level 5, Room 5220
In this short course, we will introduce some elements in deriving the hp a posteriori error estimate for a high-order unfitted finite element method for elliptic interface problems. The key ingredient is an hp domain inverse estimate, which allows us to prove a sharp lower bound of the hp a posteriori error estimator.
Seminar

CBRC Seminar: Learning and Outcomes: The Impact of Extensive PCR Testing Initiatives by SB New Coronavirus Testing Center and NCGM During the COVID-19 Pandemic

Dr. Wataru Sugiura, Director, Center for Clinical Sciences
Wednesday, December 13, 2023, 11:00
- 12:00
Building 3, Level 5 Room 5220
Contact Person
Takashi Gojobori

Abstract

In July 2020, the National Center for Global Medicine (NCGM), in collaboration with SoftB

PhD Dissertation Defense

Interpretable Learning on Heterogeneous Graphs

Tuesday, November 07, 2023, 15:00
- 17:00
B3, L5, R5220
Contact Person
Xin Gao
Graph Representation Learning has gained substantial attention in recent years within the field of data mining. This interest has been driven by the prevalence of data organized as graphs, such as social networks and academic graphs, which encompass various types of nodes and edges-forming heterogeneous graphs.
Poster Competition

Poster Competition: KAUST – SFDA First Joint International Conference in Trends in Microbiome and Digital One Health

Tuesday, October 31, 2023, 12:00
- 13:00
Building 19, Level 3, Hall 3
Contact Person
Alexandre Soares Rosado
Poster Competition:
Seminar

Audit to Forget: A Unified Method to Revoke Patients’ Private Data in Intelligent Healthcare

Wednesday, September 20, 2023, 10:00
- 11:30
Building 2, Level 5, Room 5209
Contact Person
Xin Gao

Abstract

Revoking personal private data is one of the basic human rights, which has already been s

PhD Dissertation Defense

Prioritizing Causative Genomic Variants by Integrating Molecular and Functional Annotations from Multiple Biomedical Ontologies

Thursday, July 20, 2023, 13:00
- 17:00
Building 2, Level 5, Room 5220
Contact Person
Robert Hoehndorf
The dissertation focuses on developing novel computational methods to improve the diagnosis of patients with rare or complex diseases. By systematically relating human phenotypes resulting from gene function loss or change to gene functions and anatomical/cellular locations, the candidate aims to enhance the prediction and prioritization of disease-causing variants. These methods, leveraging graph-based machine learning and biomedical ontologies, demonstrate significant improvements over existing approaches. The presentation will include a systematic evaluation of the methods, demonstrating their ability to compensate for incomplete data and their applications in biomedicine and clinical decision-making. This research contributes to more effective methods for predicting disease-causing variants and advancing precision medicine, offering promising prospects for improved diagnostics and patient care.
PhD Dissertation Defense

Ontology design patterns and methods for integrating phenotype ontologies

Thursday, July 20, 2023, 09:00
- 10:00
Building 3, Level 5, Room 5209.
Contact Person
Robert Hoehndorf
Ontologies are widely used in various domains, including biomedical research, to structure information, represent knowledge, and analyze data. Combining ontologies from different domains is crucial for systematic data analysis and comparison of similar domains. This requires ontology composition, integration, and alignment, which involve creating new classes by reusing classes from different domains, aggregating types of ontologies within the same domain, and finding correspondences between ontologies within the same or similar domain.
Seminar

Towards the Gene Regulation Knowledge Commons

Prof. Jesualdo Tomas Fernandez Breis, University of Murcia, Spain
Wednesday, July 19, 2023, 11:30
- 13:00
Building 2, Level 5, Room 5220
Contact Person
Robert Hoehndorf
Knowledge about transcription factor binding and regulation, target genes, cis-regulatory modules and topologically associating domains is not only defined by functional associations like biological processes or diseases, but also has a determinative genome location aspect.
Seminar

If a Tree Falls in the Forest, and There’s No One Around to Hear It, Does It Still Affect You?

Prof. Jorge L. Mazza Rodrigues
Thursday, May 25, 2023, 11:30
- 13:00
Building 2, Level 5, Room 5220
Contact Person
Alexandre Soares Rosado
In this seminar Prof. Jorge Mazza Rodrigues from the University of California, explains how deforestation in the Amazon rainforest, mainly due to cattle pasture, leads to increased nitrogen fixation and methane emissions. The Amazon Rainforest Microbial Observatory found abundant carbohydrate utilization genes in pastures. Rodrigues studies microbial diversification and its impact on global biogeochemical cycles.
Poster Competition

Student Poster Competition: The KAUST Research Conference on Computational Advances in Structural Biology

Tuesday, May 02, 2023, 12:15
- 14:00
Building 9 Hallway
Contact Person
Xin Gao

The Computational Bioscience Research Center (CBRC) will be holding a student poster competition as part of

Research Conference

KAUST Research Conference 2023 on Computational Advances in Structural Biology

Monday, May 01, 2023, 08:00
- 17:00
Auditorium between Building 4 & 5
Contact Person
Xin Gao

Computational Bioscience Research Center (CBRC) is pleased to announce the KAUST Research Conference 2023 on

Seminar

A personal path from mathematics to biomedical research

Wednesday, April 12, 2023, 12:00
- 13:00
Building 2, Level 5, Room 5209
Contact Person
David Gomez-Cabrero
A personal presentation describing the role of computational biology and bioinformatics in addressing state-of-the-art biomedical challenges. First, I will provide an overview of the transition between a Ph.D. in Mathematics to a postdoc in Computational Biology: How did it happen? What were the challenges? Secondly, I will briefly present several current case studies where computational biology (in several flavors) is core to understanding novel biological data related to multi-omic data analysis, spatial profiling, gene therapy, and more.
Seminar

Towards Neurosymbolic AI: From Knowledge Infrastructure to Explainable Predictions

Dr. Michel Dumontier, Distinguished Professor, Data Science
Thursday, March 16, 2023, 12:00
- 13:00
Building 2, Level 5, Room 5220
Contact Person
Robert Hoehndorf

Abstract

The increased availability of biomedical data, particularly in the public domain, offers

Graduate Seminar

A Data Science Pipeline for Big Linked Earth Observation Data

Prof.Manolis Koubarakis, Informatics and Telecommunications, National and Kapodistrian University of Athens
Monday, March 06, 2023, 12:00
- 13:00
Building 9, Level 2, Room 2325, Hall 2
Contact Person
Robert Hoehndorf
I will present a data science pipeline which starts with Earth observation data arriving in the ground segment of a satellite mission and ends with a complete user application. I will first briefly present all the tools my group has been developing since 2010 for supporting the various stages of the pipeline. Then, I will concentrate on the recently developed system Strabo 2 which can store big geospatial data encoded in RDF and query them using the Open Geospatial Consortium standard GeoSPARQL. Strabo 2 is the only parallel and distributed RDF store available today that can manage terabytes of geospatial data efficiently.