Top honors for KAUST extSTAT group at EVA 2023 1 min read · Wed, Sep 13 2023 Awards News KAUST extSTAT Research Group wins prestigious awards at EVA 2023 Conference in Milan.
KAUST STAT Program graduates secure faculty positions at prominent U.S. universities 1 min read · Wed, Apr 19 2023 News KAUST graduates are characterized by the rigor of their Ph.D. programs, the long hours spent in the lab and classroom, juggling professional and personal commitments, achieving a work-life balance and, more recently, the ability to adapt to a global pandemic.
KAUST Ph.D. student’s paper recognized by the American Statistical Association 1 min read · Mon, Mar 27 2023 News Spotlight KAUST Ph.D. statistics student Paolo Victor Redondo was selected as a runner-up in the American Statistical Association’s (ASA) Statistics in Imaging Section 2023 Distinguished Student Paper Award Competition
Extreme analysis of seizures 1 min read · Mon, Jun 27 2022 News neuroscience machine learning human health statistics CEMSE researchers Matheus Guerrero, Raphaël Huser and Hernando Ombao developed a new approach for analyzing seizures in epilepsy patients by applying extreme value theory to real EEG seizure data.
Finding true protein hotspots in cancer research 1 min read · Wed, Dec 8 2021 News proteins statistics cancer human health Novel statistical methods help tell the difference between "false positives" and true detections of protein domain hotspots that could be linked to cancer.
Meet KAUST new student: Daniel Osorio Barreto 1 min read · Wed, Sep 1 2021 News Biostatistics macroeconomics Daniel Osorio Barreto, is an economics graduate who joined KAUST this fall from Universidad Autónoma de Manizales, Colombia. He is as a Ph.D. student and member of the KAUST Biostatistics Group under the supervision of Professor Hernando Ombao.
Beating the curse of dimensionality 1 min read · Wed, Aug 18 2021 News Environmental Statistics big data statistics By scanning past data for both partial and complete matches to current observations, a KAUST-led research team has developed a prediction scheme that can more reliably forecast the future trajectory of environmental parameters. The collection of data at regular intervals over time is common in many fields but particularly so in environmental, transportation and biological research. Such data are used to monitor and record the current state and also to help predict what might come in the future. A typical approach is to look for previous patterns or trajectories in the data that match the
A brainwave from social networks 1 min read · Wed, Apr 14 2021 News neuroscience extreme computing statistics The statistics used to understand social networks reveal the diversity of functional connections in the brain.
KAUST STAT students come together for second ASA chapter meeting 1 min read · Thu, Dec 3 2020 News statistics data science Members of the KAUST American Statistical Association (ASA) student chapter recently came together for the group’s second online meeting held on Tuesday, November 10, 2020. The meeting served as an orientation exercise for new KAUST Statistics (STAT) Program students while also highlighting the shared experience of STAT Ph.D. candidates: Jian Cao, Wanfang Chen, Yuxiao Li, and Gaurav Agarwal.
Today we celebrate World Statistics Day! 1 min read · Tue, Oct 20 2020 News statistics healthcare Let’s discover the world of the statisticians at KAUST and be ready to be amazed by their cutting-edge research!
A shock to the system 1 min read · Wed, Jul 22 2020 News Spectral Analysis numerical analysis COVID-19 research The global, multifarious challenge posed by the COVID-19 pandemic has scientists tapping their wide-ranging fields of expertise to attack the problem on many fronts. Answering the call from KAUST President Tony Chan, and coordinated by the University's leadership team, KAUST researchers making up the Rapid Research Response Team (R3T) are turning this crisis into an opportunity to innovate.
Unlocking coronavirus' secrets through cellphone data and social media 1 min read · Sun, Apr 12 2020 News Dr. Paula Moraga is part of a multidisciplinary KAUST research team that applies models to COVID-19. She has worked on projects examining malaria in Africa and leptospirosis in Brazil, and the models she develops rely on in-depth knowledge about each disease. "With malaria, for example, we know that it's transmitted by mosquitoes," said Moraga. "So, if some regions have a high density of mosquitoes, are close to bodies of water or have a lot of humidity, we know that we are going to probably see a high risk of this disease." Into the unknown In many places, malaria and leptospirosis
3 Faculty Positions in Statistics 2020 at KAUST 1 min read · Tue, Oct 1 2019 News statistics The 3 faculty positions are in the Statistics Program (http://stat.kaust.edu.sa) within the Computer, Electrical, and Mathematical Sciences and Engineering Division. Currently, the Statistics Program has 7 core faculty and 10 affiliated faculty. We are primarily interested in applicants with strong background in one of the following areas: (1) Statistical Data Science and AI, including network data analysis and high-dimensional statistics (https://apply.interfolio.com/69165); (2) Statistical Climatology, with expertise in statistical analysis of climate model output data, in particular regional climate models, and in physical systems (https://apply.interfolio.com/69167); (3) Statistics for Public Health, including smart health data analysis, personalized medicine, and disease mapping (https://apply.interfolio.com/69168).
Statistics plot pollution to inform policy 1 min read · Sun, Aug 18 2019 News Environmental Statistics climate science pollution The spatial variation in different air pollution components helps identify possible targets for pollution control.
Epilepsy study shows the shape of things to come 1 min read · Sun, Jul 21 2019 News brain science bioscience statistics Pyramidal graphs resulting from statistical analyses of EEG recordings can improve our understanding of epileptic seizures.
Raphaël Huser’s article among the top downloaded articles in Springer’s Environmental Sciences Journals 1 min read · Tue, Jan 22 2019 News INLA statistics xstat research highlights Luigi Lombardo, Thomas Opitz, and Raphaël Huser’s article “Point process-based modeling of multiple debris flow landslides using INLA: an application to the 2009 Messina disaster”, published in the scientific journal Stochastic Environmental Research and Risk Assessment (SERRA), in July 2018, is among the top downloaded articles in Springer’s Environmental Sciences Journals for the year 2018. Huser is an Assistant Professor of statistics in the CEMSE division and principal investigator of the Extreme Statistics (extSTAT) Research Group at KAUST.
2018 Workshop on Statistics and Data Science 1 min read · Sat, Nov 10 2018 News statistics data analysis The Statistics Program at KAUST is proud to host the 2018 Workshop on Statistics and Data Science. This workshop gathers the leading experts on statistical data science to discuss the current needs, challenges and opportunities of modeling massive and high dimensional data, predicting complex biological and physical processes. The workshop will run from November 12-14. Talks and posters presentations will take place in Auditorium 0215 (between Buildings 4 & 5). Details on the workshop (speakers, abstracts and schedule) can be found here.
How extreme weather exacerbates air pollution 1 min read · Tue, Sep 4 2018 News statistics extreme weather air pollution xstat research highlights Simultaneously modeling of air pollutants and weather under extreme conditions highlights the potential for serious health risks.
Exploring science's fourth paradigm 1 min read · Mon, May 7 2018 News computational and statistical interface big data The recent KAUST Research Conference: Computational and Statistical Interface to Big Data brought together leading computer science researchers and statistical experts to discuss the current state and future of data science. Held on campus from March 19 to 21, the conference covered such data science topics as succinct data representation and storage; big data visualization; parallel and distributed algorithms for inference and optimization; and analysis of large graphs and networks.
2017 Workshop Modern Statistics for Complex Data Structures 1 min read · Sun, Nov 12 2017 Spotlight News statistics 2017 Workshop Modern Statistics for Complex Data Structures
