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Registration opens August 15th at www.idwsds.org.
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Tuesday, October 6
 

10:00 UTC

S402 - Selected Topics in Statistical Methods and Applications
Tuesday October 6, 2026 10:00 - 12:00 UTC
Beyond the Average: Random Slope Models for Revealing Territorial and Gender Inequalities | Randomization Inference on Policy Assignments | Becker’s models for mixture experiments: An A-optimal approach | Inference for GMANOVA model for Volatile Data
Speakers
avatar for Naomi Diz Rosales

Naomi Diz Rosales

PhD Student in Statistics, Universidade da Coruña
I hold a PhD in Statistics from the Universidade da Coruña (UDC), where my research focused on the development of mixed models with random slopes for Small Area Estimation. My work combines statistical methodology with applications to socioeconomic and public health challenges, including... Read More →
avatar for EunYi Chung

EunYi Chung

University of Illinois at Urbana-Champaign
She is an Associate Professor of Economics at the University of Illinois Urbana-Champaign, specializing in econometric theory. Her research focuses on developing improved methods of statistical inference for evaluating the causal effects of policy interventions using both experimental... Read More →
avatar for Bushra Husain

Bushra Husain

ALIGARH MUSLIM UNIVERSITY, ALIGARH, U.P., INDIA
Bushra Husain, Professor is the Chairperson of Department of Statistics and Operations Research, Aligarh Muslim University, Aligarh, U.P., India and has been working as Faculty of Statistics at Women's College since 2003. She has obtained B.Sc., M.Sc., M.Phil., and Ph.D. in Statistics... Read More →
avatar for Sudeepta Pal

Sudeepta Pal

PhD Scholar at IIT Hyderabad
I am currently pursuing my PhD in Statistics at IIT Hyderabad, where I also work as a Teaching Assistant. My research mainly focuses on statistical theory, multivariate analysis, and computational statistics. I cleared two of India's toughest competitive exams with high ranks, securing... Read More →
Organizers
Tuesday October 6, 2026 10:00 - 12:00 UTC
Zoom Room #4

12:00 UTC

S501 - Additional Topics in AI and Data Science 1
Tuesday October 6, 2026 12:00 - 13:00 UTC
Graph-Aware Sparse Regression for Block-Missing Multimodal Neuroimaging Data | Decoding Antartic Microbial Biodiversity through Hybrid Machine Learning and Constrained Ordination | Assessment of Methodological Quality in Non-Commercial Clinical Studies: The Impact of International Reporting Guidelines on Studies Approved
Speakers
avatar for Gabriella Tarantini

Gabriella Tarantini

Biologist, IRCCS Azienda Ospedaliero-Universitaria di Bologna
RESEARCH FELLOWSHIP & THESIS PROJECT, McMaster University, Department of Health Research Methods, Evidence, and Impact (HEI), Hamilton, Canada, from JUN/2026 to OCT/2026.
Developed and implemented statistical models to identify and evaluate predictive factors of methodological q... Read More →
avatar for Mutiyat Usman

Mutiyat Usman

North Carolina A&T State University
Mutiyat Adeola Usman is a Doctoral Researcher in Data Science and Analytics at North Carolina A&T State University, specializing in quantitative methodology, statistical modeling, and machine learning for complex, high-dimensional data. Her research focuses on developing Dynamic Gaussian... Read More →
avatar for Silvia María Herranz Hernández

Silvia María Herranz Hernández

University College London
I graduated with two bachelor's degrees, in Mathematics and Computer Science, from Universidad Autónoma de Madrid, having also studied at the Università degli Studi di Torino. In September 2026 I started an MSc in Artificial Intelligence for Biomedicine and Healthcare at University... Read More →
Organizers
Tuesday October 6, 2026 12:00 - 13:00 UTC
Zoom Room #5

15:00 UTC

S406 - Selected Topics in AI and Data Science
Tuesday October 6, 2026 15:00 - 16:00 UTC
Predictive Modeling for Irregular and Unbalanced Longitudinal Data: Application to Bariatric Surgery Outcomes | Big Data Is Not Neutral: Hidden Biases in Electronic Health Record Research | Spatio-Temporal Air Quality Risk Modelling | Interpretable Machine Learning-Based Variable Selection under Missing Data with the Feasible Solution Algorithm
Speakers
avatar for Kristina Vatcheva

Kristina Vatcheva

United States, University of Texas Rio Grande Valley
Dr. Kristina P. Vatcheva is an Associate Professor in the School of Mathematical and Statistical Sciences at the University of Texas Rio Grande Valley (UTRGV) College of Sciences. She has training and experience in mathematics, computer programming/application development, biostatistics... Read More →
avatar for Sima Sharghi

Sima Sharghi

Akron Children's Hospital
Dr. Sima Sharghi is a Senior Statistician and researcher with expertise in causal inference, Bayesian statistics, real-world evidence, electronic health record analytics, and predictive modeling in healthcare. She holds a PhD in Statistics and has extensive experience collaborating... Read More →
avatar for María Bugallo

María Bugallo

University of A Coruña
María Bugallo is a Juan de la Cierva postdoctoral researcher at the University of A Coruña working in methodological statistics, with a focus on small area estimation and robust statistical modelling. She completed her PhD in Statistics at the Miguel Hernández University of Elche... Read More →
avatar for Maliha Mehnaz Mitu

Maliha Mehnaz Mitu

University of Kentucky
Maliha Mehnaz Mitu is a PhD Candidate in Biostatistics at the University of Kentucky whose research focuses on methodological challenges in interpretable machine learning and Artificial Intelligence for healthcare. Her work integrates statistical learning, missing data methodology... Read More →
Organizers
Tuesday October 6, 2026 15:00 - 16:00 UTC
Zoom Room #4

17:00 UTC

S311 - Data Analysis in Engineering and Ecology: Reliability, Branching Processes and Random Fuzzy Sets
Tuesday October 6, 2026 17:00 - 18:00 UTC
This session brings together the last advances on Mathematical Statistics, and Data Analysis, considering the stochastic process framework, as well as more general and flexible probability modelling contexts, involving random elements, to represent uncertainly for data processing, in connection with Statistical Inference and Operations Research. Several practical problems can be analyzed, adopting the presented approaches, in Reliability, Engeneering, Social Sciences, Ecology, and Medicine, just to mention a few.

Three invited speakers make up the invited session:

Lucía Bautista Bárcena, University of Extremadura (Spain).
Carmen Minuesa , University of Extremadura (Spain).
Beatriz Sinova Fernández, University of Oviedo (Spain).
Speakers
avatar for Lucía Bautista

Lucía Bautista

Universidad de Extremadura
Lucía Bautista Bárcena is an Assistant Professor of Statistics and Operations Research at the University of Extremadura (Spain). She holds a BSc in Mathematics from the same institution (2017), where she also completed her MSc in Science Research (2019) and her PhD in Mathematics... Read More →
avatar for Carmen Minuesa Abril

Carmen Minuesa Abril

University of Extremadura
Carmen Minuesa is an Associate Professor in the Department of Mathematics and a member of the Institute of Advanced Scientific Computing at the University of Extremadura (UEx). Her research focuses on stochastic processes. She began her career with a PhD on branching processes and... Read More →
avatar for Beatriz Sinova

Beatriz Sinova

University of Oviedo
Beatriz Sinova Fernández is an Associate Professor in the Department of Statistics and Operational Research and Mathematics Didactics at the University of Oviedo. She holds a Bachelor's degree in Mathematics from the University of Oviedo, a Master's degree in Mathematical Modelling... Read More →
Chairs/Hosts Organizers
Tuesday October 6, 2026 17:00 - 18:00 UTC
Zoom Room #3
 
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