The KAUST 2024 Workshop on Statistics
Auditorium between Building 4 - 5
The KAUST Statistics Workshop will feature the latest research on statistical methods and modeling to address real-world challenges in health, environment, climate, energy and beyond.
Overview
Statistics plays a fundamental role in many disciplines including health, environment and climate. This edition of the KAUST workshop on Statistics will feature the latest research on fundamental aspects of statistical methodology and modeling to address real-world challenges. Over five days, a global cohort of leading experts will share their expertise, cutting-edge research findings, and practical applications of statistical methods in various domains. The event will also feature two poster sessions where students and postdocs will present their research. All talks will be given in the Auditorium between building 4 and 5. The poster sessions will be held in Building 9, second floor.
Workshop's Program and Abstract Book
View the Workshop's Program and Abstract Book.
Invited Speakers
- Randa Alharbi, University of Tabuk, Saudi Arabia
- Josep Xavier Barber Valles, Universidad Miguel Hernández, Spain
- Pedro Delicado Useros, Universitat Politècnica de Catalunya, Spain
- Petros Dellaportas, UCL and Athens University of Economics and Business
- Ephraim Hanks, Penn State, United States
- Markus Heinonen, Aalto University, Finland
- Haziq Jamil, Universiti Brunei Darussalam, Brunei
- Marina Knight, York University, United Kingdom
- Garyfallos Konstantinoudis, Imperial College London, United Kingdom
- Lexin Li, University of California, Berkeley, United States
- Hamzah Luqman, King Fahd University of Petroleum and Minerals, Saudi Arabia
- Mudassir Masood, King Fahd University of Petroleum and Minerals, Saudi Arabia
- Alessandra Menafoglio, Politecnico di Milano, Italy
- Jordan Richards, University of Edinburgh, United Kingdom
- Daniel Sanz-Alonso, University of Chicago, United States
- Dino Sejdinovic, University of Adelaide, Australia
- Michalis Titsias, Google DeepMind, United Kingdom
- Andrew Zammit-Mangion, University of Wollongong, Australia
- Yi Yu, University of Warwick, United Kingdom