Mohammad Ghorbani

• Associate professor at SLU in Alnarp since 2025, specializing in applied and mathematical statistics.
• Statistical consultant for SLU staff.
• Responsible for statistics courses at all levels in SLU, Alnarp.
• Subject representative for applied statistics in SLU, Alnarp.

Main research interests: 

• Spatial and spatio-temporal statistics
• Analysis of spatially dependent functional data
• Machine learning
• Bayesian statistics
• Analysis of forest stand data

Selected publications:

Functional Marked Hawkes Processes, with a View to Model Hurricanes Data. (2025) Lo Galbo, G.,  Adelfio, G.,  Chiodi, M., and  Ghorbani, M. In Statistics for Innovation III (pp. 427-433). Enrico di Bella; Vincenzo Gioia; Corrado Lagazio; Susanna Zaccarin [10.1007/978-3-031-95995-0_71].
 

A Kernel-Based Test for the First-Order Separability of Spatio-Temporal Point Processes (2025)
Ghorbani, M., Vafaei, N., Myllymäki, M.
Part of: Test (Madrid), Springer Nature, 2025.
[Fulltext]
 

Testing the First-Order Separability Hypothesis for Spatio-Temporal Point Patterns (2021)
Ghorbani, M., Vafaei, N., Dvořák, J., Myllymäki, M.
Part of: Computational Statistics & Data Analysis, Elsevier, 2021.
[Fulltext]
 

Functional Marked Point Processes: A Natural Structure to Unify Spatio-Temporal Frameworks and to Analyse Dependent Functional Data (2020)
Ghorbani, M., Cronie, O., Mateu, J., Yu, J.
Part of: Test (Madrid), s. 529–568, Springer, 2020.
[Fulltext]
 

Mathematical Models to Shed Light on Amyloid-Beta and Tau Protein Dependent Pathologies in Alzheimer’s Disease (2020)
Vosoughi, A., Sadigh-Eteghad, S., Ghorbani, M., Shahmorad, S., Farhoudi, M., Rafi, M., et al.
Part of: Neuroscience, s. 45–57, Elsevier, 2020.
[Fulltext]
 

Mechanistic Spatio-Temporal Point Process Models for Marked Point Processes, with a View to Forest Stand Data (2016)
Møller, J., Ghorbani, M., Rubak, E.
Part of: Biometrics, s. 687–696, Oxford University Press, 2016.
[Fulltext]

Functional Summary Statistics for the Johnson–Mehl Model (2015)
Møller, J., Ghorbani, M.
Part of: Journal of Statistical Computation and Simulation, s. 899–916, Taylor & Francis, 2015.

For more publications, see my profile in Google Scholar.

Courses taught:

• Basic Statistics – PhD course, SLU Alnarp
• Statistical Methods – An Overview – PhD course, SLU Alnarp
• Applied Bayesian Data Analysis – PhD course, Luleå University of Technology (LTU)
• Basic Statistics (In Swedish) – Undergraduate course, LTU 
• Mathematical Statistics (I Swedish) – Undergraduate course, LTU
• Analysis of Field Data – Master’s course, Umeå University (UMU)
• Computer-Intensive Statistical Methods with R – Master’s course, UMU
• Spatial Statistics, Regression Analysis, Data Mining, and related topics – Master’s and undergraduate courses, University of Tabriz

• Ph.D. in Mathematical Statistics, Aalborg University, Denmark — Sep 2011 – Aug 2014
  Department of Mathematical Sciences
• M.Sc. in Mathematical Statistics, Tarbiat Modares University, Tehran, Iran — 1999 – 2002
• B.Sc. in Statistics, Razi University, Kermanshah, Iran — 1995 – 1999