New statistical and mathematical approaches and tools are needed to promote these sciences because of the rapid development of diverse scientific disciplines and their inherent complexity. Furthermore, the employment of cutting-edge tools in other sciences is critical to their application and promoting multidisciplinary cooperation. One of the relatively new and powerful tools is spatial statistics, which examines their correlations by analyzing spatial and temporal data. Given this feature, spatial statistics can be used in a wide range of sciences. Including in Earthquake Science and Engineering, Risk Management, Crisis Management, Atmospheric and Meteorological Sciences, Water Resources, Environment, Geology, Mining, Urban and Regional Planning, Urban Infrastructure, Traffic, Transportation, Remote Sensing, Health and treatment have a wide range of applications, including epidemics, social sciences, oil and gas, economics, and insurance.

One of the essential measures to develop and present the country's scientific achievements is to hold specialized meetings and seminars. In order to provide an opportunity for exchange of views of experts in various sciences related to spatial statistics and its applications, a specialized seminar on spatial statistics and its applications has been considered.

This is to inform all researchers and all those interested in spatial statistics that the 5thbiennial seminars on spatial statistics and its applications will be held virtually on Oct. 2023 25-26 hosted by the department of statistics of Imam Khomeini International University (IKIU) and in collaboration with center of excellence in spatial data analysis in Tarbiat Modares University (TMU) and Iranian Statistical Society (ISS).

Providing a suitable opportunity for faculty members and researchers to exchange opinions, presenting research achievements in the field of spatial statistics, creating common fields of cooperation between spatial statistics experts and its users in other sciences, and improving the scientific level of postgraduate students in universities and higher education centers are the aims of this seminar.

John T. Kent Department of Statistics, Leeds University, UK.

Spatial Modelling, Shapes and Smiles

Short Bio: John Kent is a Professor of Statistics at Leeds University, UK.  His research interests include directional data analysis, multivariate analysis, inference, robustness, shape analysis, spatial and spatial-temporal modelling, and filtering for orbital tracking.  He is the joint author of two research monographs (Multivariate Analysis, 1979, with K. V. Mardia and J. M. Bibby; and Spatial Analysis, 2022, with K. V. Mardia).  He has published about 150 research papers.

 

Short Bio:Short Bio:Dr. Jorge Mateu earned a bachelor's degree in 1992 from the University of Valencia (Spain) in Mathematics and Statistics, andcompleted his PhD in Statistics in 1998 from the same university under the supervision of Peter Diggle (Lancaster University, UK) and Francisco Montes (UV, Spain). He is currently a full professor of Statistics with the Department of Mathematics at the University Jaume I of Castellon (Spain). He has long expertise in the field of stochastic processes in their wide sense, with a particular focus on spatial and spatio-temporal point processes, but also on geostatistics and areal spatial data. His research lies at the intersection of statistics,computational sciences and natural and social sciences with a wide focus on Data Science. Large projects in crime data analysis and public health, where the combination of statistical methods and machine learning methods are at the core of the approach, arecurrently taking most of the time of his research group. Prof. Mateu became an elected member of the International Statistical Institute in 2004, and a Fellow of the Royal Statistical Society in 2016.He has published more than 300 papers in peer-reviewed international journals and has organised severalinternational conferences with a focus on modelling space-time processes. He currently sits on the editorial boards ofJABES (as EiC), and Spatial Statistics, and Environmetrics, amongst others as AE.
 

Short Bio:Ian Dryden is a Professor in the Department of Mathematics and Statistics at Florida International University in Miami, USA and has taught and carried out research at the University of Nottingham, University of South Carolina, University of Leeds and University of Chicago. He has 35 years of research experience, and his main area of study is the development of statistical methodology in highly-structured data analysis, including shapes, images and functional data. He obtained his PhD from the University of Leeds in 1989 and served as head of the School of Mathematical Sciences, University of Nottingham from 2014-2018.

Short Bio:Mohsen Mohammadzadeh is a Professor and Dean of the Centre of Excellence in Spatial Data Analysis at TarbiatModares University in Tehran, Iran. He obtainedhis B.Sc. from Ferdowsi University, anM.Sc. from TarbiatModares University, and a PhD in Statistics fromLeeds University in the UK. He is an author of a book on Spatial Statistics and Its Applications; he has published around 122 peer-reviewed journal articles; and he is a Dependent Member of the Mathematics Group in the Academy of Sciences of the Islamic Republic of Iran, the Iranian Statistical Society, and the Union of Iranian Societies of Mathematical Sciences. He was a member of several Scientific Committees of the Statistics Conferences. He has organised several conferences with a focus on spatial statistics. He has supervised 57 MSc and 20 PhD students. He has served in various positions, including the Vice President of Support and Human Resources of Tarbiat Modares University, the Statistics Planning Group and the Supervision and Evaluation Department in the Ministry of Science and the University of Applied Sciences.

Short Bio:Dr Mahmoud Torabi is a Professor of Biostatistics in the Department of Community Health Sciences at the University of Manitoba, Canada. He is also a scientist at the Children’s Hospital Research Institute of Manitoba (CHRIM) at the University of Manitoba. His main research areas are spatial statistics and small-area estimation. He has received some provincial (Research Manitoba, CHRIM), and national funding (NSERC DG, NSERC Alliance, NSERC EIDM, CANSSI-CRT, CIHR) for his research as principal investigator (PI) and co-PI. He has published more than 75 papers in peer-reviewed statistics and health research journals and served as a referee for over 100 papers. He has served the Statistical Society of Canada in various capacities including President of the Survey Methods Section.
 

Short Bio:Mehdi Maadooliat is a faculty member of the Department of Mathematical and Statistical Sciences at Marquette University. Mehdi was also affiliated with Marshfield Clinic Research Institute as Associate Research Scientist from 2015 to 2020. He received his B.Sc. from the Sharif University of Technology, anM.Sc. from Marquette, and a PhD in Statistics from Texas A&M University, where he also served as a post-doctoral fellow. His primary research interests include machine learning, bioinformatics, and functional data analysis. Recently he has been working on the development of statistical models in high-dimensional data structures with application to biological sciences, including but not limited to genomics and proteomics.

 

Short Bio:Zahra AminiFarsaniborn in 1985 Farsan, Iran. She earned a bachelor's degree in Statistics atthe ShahidChamran University of Ahwaz. MSc in Applied Statistics atAllamehTabatabaeiUniversity, Tehran. First PhD in Applied Statistics at Iran University of Science and Technology, Tehran. Second PhD in Biostatistics at Ludwig Maximilians University (LMU) Munich, Germany. Since 2018, Assistant Professor of Statisticsat Lorestan University, Iran.Since 2022, Interim W2-Professor (Associate Professor) of Biostatistics at LMU Munich, Germany.Since 2023, Interim W2-Professor (Associate Professor) in collaboration with Statistics and Data Science, Elite Master program at LMU Munich, Germany.