Plenary and Keynote Speakers


5th International Conference on Statistics: Theory and Applications (ICSTA 2023)




We are pleased to announce our Plenary and Keynote Speaker for 5th International Conference on Statistics: Theory and Applications:



Dr. Eric J. Tchetgen Tchetgen

Dr. Eric J. Tchetgen Tchetgen
The University of Pennsylvania, USA
Plenary Speaker

Topic of Keynote:

Dr. Melissa Wilson

Dr. Melissa Wilson
Arizona State University, USA
Plenary Speaker

Topic of Keynote:

Dr. Stefano Castruccio

Dr. Stefano Castruccio
University of Notre Dame, USA
Keynote Speaker

Prof. Castruccio obtained his PhD at the University of Chicago (USA), and has worked in Saudi Arabia and the United Kingdom before his current appointment as Associate Professor at the University of Notre Dame (USA). His main area of research focuses on the development of spatio-temporal statistical models for environmental applications, with applications spanning from assessment of renewable energy resources to assessing mortality from air pollution. His focus is mostly on climate and weather modes, and the use of statistical and machine learning models that can act as a stochastic approximation to provide a computationally affordable assessment of parameter sensitivity analysis. His methodological research is focused on the development of non-stationary Gaussian processes in Euclidean and spherical domains, and in scalable multi-resolution inference for high-dimensional processes in space and time.

Topic of Keynote: Stochastic Environmental Modeling in a Time of Convergence: Physics Meets Artificial Intelligence
Keynote Abstract


Dr. Jian Kang

Dr. Jian Kang
University of Michigan, USA
Keynote Speaker

Dr. Jian Kang is a Professor in the Department of Biostatistics at the University of Michigan. He received his PhD in Biostatistics from the University of Michigan in 2011. He was an Assistant Professor in the Department of Biostatistics and Bioinformatics and the Department of Radiology and Imaging Sciences at Emory University from 2011- 2015. His main research interests are developing statistical methods and theory for large-scale complex biomedical data analysis with focuses on Bayesian approaches, imaging statistics and bioinformatics. He has co-authored over 110 publications in statistical journals and medical journals. Dr. Kang currently serves as the Associate Editor of Annals of Applied Statistics, Biometrics, The New England Journal of Statistics in Data Science and Statistics in Medicine. Dr. Kang was elected as the Fellow of the American Statistical Association in 2021.

Topic of Keynote: Deep Kernel Learning based Gaussian Processes for Bayesian Image Regression Analysis
Keynote Abstract


Dr. Cynthia Rudin

Dr. Cynthia Rudin
Duke University, USA
Keynote Speaker

Topic of Keynote:


Registration fee includes the following:

  • Publication of 1 accepted paper in the proceedings. Publication of each additional paper requires a €200 EUR registration
  • Conference package including a USB of the proceedings with all registered accepted papers
  • Buffet lunch for each day of the conference
  • 2 coffee breaks for each day of the conference
  • 1 banquet dinner OR cruise tour

Important information for accompanying person(s): Please be informed that the accompanying person can NOT be a co-author.
Co-authors, regardless if 1 author is attending, must pay the full registration fee.
The accompany person fee is only for spouses and/or children. Please contact us if you are unsure.

Virtual registration fee includes the following:

  • Publication of 1 accepted paper in the proceedings. Publication of each additional paper requires a €150 EUR registration
  • Access to all the sessions of the conference