Statistics for Learning from Complex Data: Foundations and Applications
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.
Invited Speakers:
- Randa Alharbi (University of Tabuk, Saudi Arabia)
- Josep Xavier Barber Valles (Universidad Miguel Hernandez, Spain)
- Pedro Delicado Useros (Universitat Politecnica de Catalunya, Spain)
- Petros Dellaportas (UCL, and Athens University of Economics and Business)
- Ephraim Hanks (PennState, USA)
- Markus Heinonen (Aalto University)
- Haziq Jamil (Universiti Brunei Darussalam, Brunei)
- Marina Knight (York University, UK)
- Garyfallos Konstantinoudis (Imperial College, UK)
- Lexin Li (UC Berkeley, USA)
- 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, UK)
- Daniel Sanz-Alonso (University of Chicago, USA)
- Dino Sejdinovic (University of Adelaide, Australia)
- Michalis Titsias (Google DeepMind, UK)
- Andrew Zammit-Mangion (University of Wollongong, Australia)
- Yi Yu (University of Warwick, UK)
Registration link
Link to express your interest to present an e-poster - deadline 7 November
Workshop's Program and Abstract Book