ENBIS-26 Conference
from
Sunday, September 6, 2026 (9:00 AM)
to
Thursday, September 10, 2026 (6:00 PM)
Monday, August 31, 2026
Tuesday, September 1, 2026
Wednesday, September 2, 2026
Thursday, September 3, 2026
Friday, September 4, 2026
Saturday, September 5, 2026
Sunday, September 6, 2026
1:45 PM
ECAS-ENBIS Course: Adaptive Machine Learning for Time Series Forecasting
Adaptive Machine Learning for Time Series Forecasting
1:45 PM - 5:45 PM
Room: Auditorium B
2:00 PM
Registration (14:00-17:00)
Registration (14:00-17:00)
2:00 PM - 5:00 PM
Room: Room 108
3:15 PM
Exec + office meeting
3:15 PM - 4:15 PM
Room: Room 107
3:30 PM
Break
Break
3:30 PM - 4:00 PM
4:30 PM
Council meeting
4:30 PM - 6:00 PM
Room: Room 107
Monday, September 7, 2026
8:15 AM
Registration (8:15-16:00)
Registration (8:15-16:00)
8:15 AM - 9:00 AM
Room: Room 108
9:00 AM
Opening Ceremony
9:00 AM - 9:30 AM
Room: Auditorium B
9:30 AM
Keynote
9:30 AM - 10:30 AM
Room: Auditorium B
Contributions
9:30 AM
Physics-Informed Statistical Learning for Data-Driven Decision Making in Science and Industry
-
Laura M. Sangalli
(
Politecnico di Milano
)
10:30 AM
Break
Break
10:30 AM - 10:55 AM
10:55 AM
AI: Machine Learning and Predictive Analytics
10:55 AM - 11:55 AM
Room: Conference Room 103
Contributions
10:55 AM
Data-Efficient Upscaling and Optimal Control of Fed-Batch Bioprocesses via Hybrid Modelling and Transfer Learning
-
Luca Riezzo
(
The University of Manchester
)
11:15 AM
Local Constrained Bayesian Optimization for High-Dimensional Industrial Design
-
Jingzhe Jing
(
Academy of Mathematics and Systems Science, Chinese Academy of Sciences
)
11:35 AM
Extending Inverse Distance-based Exploration for Active Learning to Streaming: Online Active Learning for Regression
-
Bernhard Spangl
(
BOKU University, Vienna
)
Design of Experiments
10:55 AM - 11:55 AM
Room: Auditorium B
Contributions
10:55 AM
Quality by Design: Data-Efficient Active Learning Approaches
-
Marco P. Seabra dos Reis
(
Department of Chemical Engineering, University of Coimbra
)
11:15 AM
Fighting Antimicrobial Resistance, Functional Data Analysis, and the Future of Multifactor Experiments
-
Phil Kay
(
JMP Statistical Discovery
)
11:35 AM
Optimizing multi-arm clinical trials for personalized medicine using a genetic algorithm
-
Karla Cervantes
(
Tecnologico de Monterrey
)
Statistical / Stochastic Modelling and Statistical Computing
10:55 AM - 11:55 AM
Room: Conference Room 102
Contributions
10:55 AM
Least trimmed squares regression with missing values and cellwise outliers
-
Peter Rousseeuw
(
University of Leuven
)
11:15 AM
Characterization of multi-way binary tables with uniform margins and fixed correlations
-
Fabio Rapallo
(
University of Genova
)
11:35 AM
Estimating Multivariate Generalized Gamma Convolutions via Kernel Stein Discrepancy
-
Léo Gonin
(
Institut Camille Jordan
)
Statistical Process Monitoring
10:55 AM - 11:55 AM
Room: Conference Room 107
Contributions
10:55 AM
An entropy-based distribution-free approach for profile monitoring
-
Praise Obanya
(
North-West University
)
11:15 AM
Nonparametric Statistical Process Control for Monitoring Structural Changes in Regional Drought Dynamics
-
Michele Scagliarini
(
University of Bologna
)
11:35 AM
Linear Profile Monitoring of Functional Data
-
Davide Forcina
(
Università degli Studi di Napoli Federico II
)
Statistics in Pharma / Healthcare: Pharmaceutical Process Modelling and Manufacturing Analytics
10:55 AM - 11:55 AM
Room: Conference Room 106
Contributions
10:55 AM
Estimating Stabilization Time in Continuous Manufacturing
-
Chellafe Ensoy-Musoro
(
Johnson & Johnson
)
11:15 AM
Incorporating Factor Variability into Risk Estimation in Pharmaceutical Manufacturing
-
Olympia Tumolva
(
Johnson & Johnson
)
11:35 AM
Multi-attribute modelling for mRNA specification setting
-
Marco Mariti
(
GSK
)
12:00 PM
Design of Experiments
12:00 PM - 1:00 PM
Room: Auditorium B
Contributions
12:00 PM
Bayesian Optimisation under system drift
-
Stefanie Feiler
(
FHNW School of Life Sciences
)
12:20 PM
Powerful Foldover Designs
-
Jonathan Stallrich
(
North Carolina State University
)
12:40 PM
Possible Pitfalls in Using Bayesian Optimization (BO) to Quickly Optimize the Levels of Factors in a Physical Experiment
-
Jacqueline Asscher
(
Kinneret College, Technion
)
Statistical / Stochastic Modelling and Statistical Computing
12:00 PM - 1:00 PM
Room: Conference Room 107
Contributions
12:00 PM
Tourist Mobility: A Markov Chain Approach Using Origin--Destination Survey Data
-
francesca atzori
(
university of Cagliari
)
12:20 PM
Adaptive Particle MCMC for non-linear battery state-space models
-
Edvinas Juozapaitis
(
Kaunas University of Technology
)
12:40 PM
Robust graphical modeling under data contamination
-
Christian Capezza
(
Department of Industrial Engineering, University of Naples "Federico II"
)
Statistical Process Monitoring
12:00 PM - 1:00 PM
Room: Conference Room 102
Contributions
12:00 PM
When a Cusum Stops, What Confidence Is There that the Alarm Is Not False?
-
moshe pollak
(
hebrew university of jerusalem
)
12:20 PM
On the Design and Performance of a Control Chart for Monitoring Continuous data in (0,1) when Process Parameters are Unknown
-
Athanasios Rakitzis
(
University of Piraeus, Department of Statistics and Insurance Science
)
12:40 PM
Some Stylized Facts of the Conditional Expected Delay (CED)
-
Sven Knoth
(
Helmut Schmidt University Hamburg, Germany
)
Statistics in Pharma / Healthcare: Statistical Decision Support in Healthcare and Biomedical Development
12:00 PM - 1:00 PM
Room: Conference Room 106
Contributions
12:00 PM
Towards an Adaptive Framework for Longitudinal Survival Modeling in Clinical Decision Support: Case of the ISPY 1 Trial
-
Abdelaziz Berrado
(
Mohammed V University, EMI
)
12:20 PM
Predicting Study Success in Diagnostic Test Evaluation: A Case Study Using Frequentist and Bayesian Approaches
-
Alejandro Moreno Muñoz
(
Werfen
)
12:40 PM
Selection of a Nanocellulose-Reinforced PVA/PVP Hydrogel
-
Nuno Costa
(
ESTSetubal
)
Truthworthy and explainable AI
12:00 PM - 1:00 PM
Room: Conference Room 103
Contributions
12:00 PM
Statistical Evaluation of CPU-Based Offline LLMs for Industrial Text Processing on Low-Cost Edge Hardware
-
Guido Moeser
(
masem research institute
)
12:20 PM
Ups and Downs with AI and Old Data
-
Shirley Coleman
(
Visiting Fellow, Newcastle University
)
12:40 PM
Towards the reliable use of metamodels in critical systems - Application to nuclear safety studies
-
Nicolas Bousquet
(
EDF
)
Bertrand Iooss
(
EDF R&D
)
1:00 PM
Lunch
Lunch
1:00 PM - 2:00 PM
2:00 PM
Editors' Corner Session - INFORMS Journal on Data Science
2:00 PM - 3:30 PM
Room: Auditorium B
Contributions
2:00 PM
Introduction to INFORMS Journal on Data Science (IJDS)
-
Yu Ding
(
Georgia Tech
)
2:30 PM
Using Operational Data Analytics for Planning Decisions Under Uncertainty
-
Natarajan Gautam
(
Syracuse University
)
3:00 PM
Estimating Hidden Epidemic: A Bayesian Spatiotemporal Compartmental Modeling Approach
-
Kamran Paynabar
(
School of Industrial and Systems Engineering
)
Generative AI for Statistics: Practice, Productivity, and Prioritization
2:00 PM - 3:30 PM
Room: Conference Room 106
Contributions
2:00 PM
Generative AI for Statistics: Practice, Productivity, and Prioritization
-
Christian Ritter
(
Ritter and Danielson Consulting
)
Morten Bormann Nielsen
(
Danish Technological Institute
)
Winfried Theis
(
Kufuu Consultancy
)
Statistics and data science in the technological field: current issues and new proposals
2:00 PM - 3:30 PM
Room: Conference Room 102
Contributions
2:00 PM
ADeS: A Flexible Adaptive Design Strategy for Ethical and Covariate-Balanced Clinical Trials
-
Marco Novelli
(
University of Bologna
)
2:30 PM
Online Quality Monitoring in Selective Laser Melting via Image-Based Statistical Methods
-
Panagiotis Tsiamyrtzis
(
Politecnico di Milano
)
3:00 PM
Fisher’s Principles of Exerimental Design and Why They Are Still Important
-
Geoff Vining
(
Virginia Tech Statistics Department
)
Young Statisticians Session
2:00 PM - 3:30 PM
Room: Conference Room 103
Contributions
2:00 PM
A Registration-free Approach for Shape and Color Monitoring of Functionally Graded Materials via 4D Point Clouds
-
Mariafrancesca Patalano
(
University of Padua
)
2:30 PM
On stochastic network trends in network time series
-
Amandine PIERROT
(
University of Bath
)
3:00 PM
Active Learning for Effect Screening in Manufacturing
-
Marcus Engsig
(
Technical University of Denmark
)
3:30 PM
Break
Break
3:30 PM - 4:00 PM
4:00 PM
Award session
4:00 PM - 5:30 PM
Room: Auditorium B
Contributions
4:15 PM
The Irreducible Error: What Statistics and Management Have in Common
-
Sophie Carr
(
Bays Consulting
)
4:45 PM
Statistical Process Monitoring Based on Functional Data Analysis
-
Fabio Centofanti
(
KU Leuven
)
5:30 PM
General assembly
5:30 PM - 6:30 PM
Room: Auditorium B
7:30 PM
Welcome Reception
Welcome Reception
7:30 PM - 10:00 PM
Tuesday, September 8, 2026
8:15 AM
Registration (8:15-12:00)
Registration (8:15-12:00)
8:15 AM - 9:00 AM
Room: Room 108
9:00 AM
Data science for climate and environment
9:00 AM - 10:30 AM
Room: Conference Room 103
Contributions
9:00 AM
Model selection for extremal dependence structures using deep learning: Application to environmental data
-
Pierre Ribereau
(
Université Claude Bernard Lyon 1
)
9:30 AM
Multivariate Discrete Generalized Pareto distributions: Theory, likelihood-free inference, and applications to drought risk assessment
-
Samira Aka
(
Square Management
)
10:00 AM
Concepts and methods for better predictions in climate and environmental science
-
Georgia Papacharalampous
(
University of Padova
)
From Automation to Autonomy: New Frontiers of AI and Statistics for Data in Business and Industry
9:00 AM - 10:30 AM
Room: Auditorium B
Contributions
9:00 AM
From Automation to Autonomy: New Frontiers of AI and Statistics for Data in Business and Industry
-
Bianca Maria Colosimo
(
Politecnico di Milano
)
Kamran Paynabar
(
School of Industrial and Systems Engineering
)
ISBIS Session - Advances in Statistical Analysis for Large-Scale Dynamic Networks, Labour Market Outcomes, and Interpretable Ensemble Methods
9:00 AM - 10:30 AM
Room: Conference Room 102
Contributions
9:00 AM
Real-Time Change Detection in Large-Scale Dynamic Networks
-
Nathaniel Stevens
(
University of Waterloo
)
9:30 AM
Heterogeneity in STEM Graduate Wages Across Italian Universities: A Weighted Mixed-Effects Analysis
-
Andrea Carta
(
university of Cagliari
)
10:00 AM
Agreement over Association in Explainable Ensemble Trees
-
Agostino Gnasso
(
University of Naples Federico II
)
Software Session
9:00 AM - 10:30 AM
Room: Conference Room 106
Contributions
9:00 AM
Optimal design, analysis and optimization in the presence of random effects using Minitab DoE by Effex platform
-
Jose Nunez Ares
(
Minitab
)
9:30 AM
JASP for Quality Control: An Open-Source Software for Industrial Statistics
-
Julius Pfadt
(
University of Amsterdam
)
Don van den Bergh
Frantisek Bartos
Henrik Godmann
Jonas Petter
Johnny van Doorn
Simon Kucharsky
Eric-Jan Wagenmakers
10:00 AM
JMP Developments in JMP 19 and Coming in JMP 20
-
Chris Gotwalt
(
JMP Division of SAS Institute
)
10:30 AM
Break
Break
10:30 AM - 10:55 AM
10:55 AM
Data Analytics and Data Science: Case Studies
10:55 AM - 11:55 AM
Room: Conference Room 103
Contributions
10:55 AM
Health Insurance Fraud Detection using Claim-Based Profiling
-
Sotiris Bersimis
(
University of Piraeus, Greece
)
11:15 AM
Simulating a key performance index for a family of future products
-
carlo leardi
(
tetra pak packaging solutions
)
11:35 AM
Dirty laundry – A data quality journey from ENBIS Active session to nationwide system redesign for industrial textile management
-
Morten Bormann Nielsen
(
Danish Technological Institute
)
Robert Heck
(
Danish Technological Institute
)
Reliability
10:55 AM - 11:55 AM
Room: Conference Room 107
Contributions
10:55 AM
Statistical Travel Time Inference Under Incomplete Data: A Queueing-Theoretic Approach
-
Dingyi Wang
(
Academy of Mathematics and Systems Science, Chinese Academy of Sciences
)
11:15 AM
Importance inference of optimal test planning for degradation analysis
-
Chien-Yu Peng
(
Academia Sinica
)
11:35 AM
A scheme for the predictive replacement of litium-ion batteries, using reinforcement learning
-
Antonio Pievatolo
(
CNR-IMATI
)
Statistics in Industry, Business and Finance
10:55 AM - 11:55 AM
Room: Conference Room 102
Contributions
10:55 AM
Lot Heterogeneity in Statistical Quality Control: An enhanced Optimization Approach for the Design of Rectifying Sampling Plans
-
Jaqueline Bojer
(
University of Graz
)
11:15 AM
Stacking Evidence across tests in R&D
-
Jan-Willem Bikker
11:35 AM
Application Methodology and Effect of Digital Twin Technology for Innovative Small Modular Reactors
-
Taecheol Park
(
Innovative Small Modular Reactor Development Agency
)
Teaching, Consulting and Knowledge Transfer in Statistics
10:55 AM - 11:55 AM
Room: Conference Room 106
Contributions
10:55 AM
Bayesian Optimization as Design of Experiments: The Entropy Connection
-
Arno Strouwen
(
Strouwen Statistics; PumasAI; KULeuven
)
11:15 AM
A Practical Roadmap for Choosing Correct Statistical Tests, Based on Three Decades of Teaching Experience
-
Hossein Bevrani
(
University of Kurdistan
)
11:35 AM
Plackett and Burman arrays Revisited
-
Jonathan Smyth-Renshaw
(
Jonathan Smyth-Renshaw & Associates Ltd
)
Uncertainty quantification and computer experiments
10:55 AM - 11:55 AM
Room: Auditorium B
Contributions
10:55 AM
Prediction of physical fields under linear constraints
-
Mahamat Hamdan Nassouradine
(
Université Paris-Saclay, CEA, Service de Génie Logiciel pour la Simulation, France
)
11:15 AM
Multifidelity Gaussian process regression for solving nonlinear partial differential equations
-
Fatima-Zahrae EL-BOUKKOURI
(
INSA Toulouse / IMT
)
11:35 AM
Taxonomy of statistical models for investigating order picking systems
-
Larissa Sander
(
Fachhochschule Dortmund
)
12:00 PM
Data Analytics and Data Science: Case Studies
12:00 PM - 1:00 PM
Room: Conference Room 103
Contributions
12:00 PM
An IoT-inspired concept for data-driven service provision and resource planning in the tourism sector, using a campsite as an example
-
Eva Scheideler
(
Technische Hochschule Ostwestfalen-Lippe
)
12:20 PM
Multivariate Six Sigma for the Optimization of the Meat Roasting Process in the Ready-to-Eat Food Industry
-
Alberto Ferrer-Hermenegildo
(
Kensight Solutions S.L.
)
12:40 PM
Risk analysis of forest fires in Sicily, based on 2010-2023 observation period
-
Stefano Barone
(
University of Palermo
)
Reliability
12:00 PM - 1:00 PM
Room: Conference Room 107
Contributions
12:00 PM
Variable Selection under Cumulative Exposure Model for Time-to-Event Data with Time-Varying Covariates
-
Yueyao Wang
(
Zhejiang Gongshang University
)
12:20 PM
Reliability testing of repairable systems available in diverse configuration variants
-
Nikolaus Haselgruber
(
CIS Consulting in Industrial Statistics GmbH
)
12:40 PM
Predictive Maintenance to Reduce the Total Cost of Ownership of Oil and Gas Downhole Tools
-
Mahmoud Awad
(
American University of Sharjah
)
Statistics in Industry, Business and Finance
12:00 PM - 1:00 PM
Room: Conference Room 102
Contributions
12:00 PM
A Scalable Analytics Platform for Enterprise Level Quality Management
-
Manuel Martin
(
Lubrizol
)
12:20 PM
Adaptive soft sensor for product quality estimation in clinker production
-
Pierantonio Facco
(
University of Padova
)
12:40 PM
The Lack of Impact of Lean Six Sigma in Textiles, Apparel and Other Basic Industries
-
A Blanton Godfrey
(
North Carolina State University
)
Teaching, Consulting and Knowledge Transfer in Statistics
12:00 PM - 1:00 PM
Room: Conference Room 106
Contributions
12:00 PM
CROSSVALI: A Method for Prompting AI for Data Analysis
-
Anne Driscoll
(
Virginia Tech
)
Jennifer Van Mullekom
(
Virginia Polytechnic Institute & State University
)
12:20 PM
Bridging the Gap: Interactive Discovery as a Booster for Preparing Industry-Ready Graduates
-
Paolo Chiappa
(
JMP
)
Volker Kraft
(
JMP
)
12:40 PM
Deep Adaptive Design for Model-Based DOE, Screening, and Bayesian Optimization
-
Arno Strouwen
(
Strouwen Statistics; PumasAI; KULeuven
)
Uncertainty quantification and computer experiments
12:00 PM - 1:00 PM
Room: Auditorium B
Contributions
12:00 PM
Spectral Clustering for Detecting Stationary Subregions in Gaussian Process Regression
-
Théo Sylvestre
(
CEA Paris Saclay
)
12:20 PM
Multi-fidelity Gaussian processes for noisy outputs and non-nested experiment designs: a comparison between the recursive and non-recursive formulations
-
Nils Baillie
(
Université Paris-Saclay, CEA, Service d’Etudes Mécaniques et Thermiques, 91191 Gif-sur-Yvette, France
)
12:40 PM
Integrating Global Sensitivity Analysis into Bayesian Optimization for Tactical Decision Support in Transport Logistics
-
Lara Kuhlmann de Canaviri
(
Fachhochschule Dortmund
)
1:00 PM
Lunch
Lunch
1:00 PM - 2:00 PM
2:00 PM
Design and modeling of computer experiments
2:00 PM - 3:30 PM
Room: Conference Room 102
Contributions
2:00 PM
Random Designs for Quantisation in High Dimension
-
Luc Pronzato
(
CNRS
)
2:30 PM
Active Subspace Embedding for Parsimonious Gaussian Process Surrogates
-
Amandine MARREL
(
CEA
)
3:00 PM
Multivariate sensitivity analysis for risk analysis with spatial outputs: a comparison exercise
-
Jérémy ROHMER
(
BRGM
)
Hands-on with physical experiments for teaching Design of Experiments
2:00 PM - 3:30 PM
Room: Conference Room 103
Contributions
2:00 PM
Hands-on with physical experiments for teaching Design of Experiments
-
Christian Ritter
(
Ritter and Danielson Consulting
)
Morten Bormann Nielsen
(
Danish Technological Institute
)
ISEA Session - Statistical Engineering
2:00 PM - 3:30 PM
Room: Auditorium B
Contributions
2:00 PM
XAI for signal diagnosis in SPM
-
Inez Zwetsloot
(
University of Amsterdam
)
2:30 PM
Assessing inter-rater reliability of LLMs with the probability of agreement
-
Nathaniel Stevens
(
University of Waterloo
)
3:00 PM
A Cooperative Framework for Raw Material Acceptance: Integrating Supplier and Customer Perspectives via SMB-PLS
-
Alberto J. Ferrer-Riquelme
(
Universitat Politècnica de València, Spain
)
Mathmet session - Digital twins for industrial machine vision systems and reference data generation
2:00 PM - 3:30 PM
Room: Conference Room 106
Contributions
2:05 PM
Digital Twin for optimal positioning of an industrial machine vision camera
-
Dario Pasin
(
Università degli Studi di Padova
)
2:25 PM
Enhancing photogrammetric measurement systems through Gaussian Splatting
-
Mattia Trombini
(
Politecnico di Torino
)
2:45 PM
Development of digital twins in metrology for a stereovision system
-
Katarina Josic
(
LNE/CNAM/LURPA/CETIM
)
3:05 PM
Generalized constraints on reference data generation for software verification
-
Louis-Ferdinand LAFON
(
LNE
)
3:30 PM
Break
Break
3:30 PM - 4:00 PM
4:00 PM
Box medal
4:00 PM - 5:00 PM
Room: Auditorium B
Contributions
4:00 PM
Enhancing Definitive Screening Designs with Multilevel Categorical Factors
-
Bradley Jones
(
EFFEX
)
5:00 PM
Greenfield challenge
5:00 PM - 5:10 PM
Room: Auditorium B
Contributions
5:00 PM
An Academic Year Dedicated to George E. P. Box at the Faculty of Mathematics and Statistics in Barcelona
-
Lluis Marco-Almagro
(
UPC Universitat Politécnica de Catalunya | BarcelonaTech
)
8:00 PM
Conference dinner
Conference dinner
8:00 PM - 11:00 PM
Wednesday, September 9, 2026
8:15 AM
Registration opening (8:15-8:45)
Registration opening (8:15-8:45)
8:15 AM - 8:45 AM
Room: Room 108
9:00 AM
INFORMS Session - Quality Statistics Reliability (QSR)
9:00 AM - 10:30 AM
Room: Auditorium B
Contributions
9:00 AM
Response Grid Plots for Model-Agnostic Explainable AI
-
Russell Barton
(
Pennsylvania State University
)
9:30 AM
FedCOT: Personalized Federated Transfer Learning With Conditional Optimal Transport for Manufacturing Predictive Modeling
-
Jia Liu
(
University of Florida
)
10:00 AM
Spatial–Temporal Large Language Models for Time-Series Data
-
Ziyue Li
(
Technical University of Munich
)
Uncertainty quantification and sensitivity analysis
9:00 AM - 10:30 AM
Room: Conference Room 103
Contributions
9:00 AM
Sensitivity analysis for sets: Application to pollutant concentration maps
-
Celine Helbert
(
Centrale Lyon - ICJ
)
9:30 AM
Explicit functional ANOVA and new results in model and algorithm explainability and sensitivity analysis
-
Nicolas Bousquet
(
EDF
)
10:00 AM
Sensitivity Measures for Continuous Actions
-
Lea Friedli
(
Technical University of Munich
)
itENBIS Session - Flexible and Scalable Models for Complex Data Structures
9:00 AM - 10:30 AM
Room: Conference Room 106
Contributions
9:00 AM
Fuzzy jump models for soft and hard clustering of mixed-type multivariate time series
-
Federico Cortese
(
University of Milan
)
9:30 AM
Variable selection and high dimension in multinomial models
-
Marcella Niglio
(
University of Salerno
)
10:00 AM
Small area models for count data: an area-level EFD model
-
Serena Arima
(
University of Salento
)
9:30 AM
AI: Machine Learning and Predictive Analytics
9:30 AM - 10:30 AM
Room: Conference Room 102
Contributions
9:30 AM
Belief Propagation for Early Sequential Feature Selection in Manufacturing
-
Joana Martins
(
University of Aveiro
)
9:50 AM
Decision Reliability in Uplift Modeling: A Stability- and Value-Driven Framework for Customer Retention Policy Selection
-
Massimo Pacella
(
Department of Engineering for Innovation, Università del Salento- Lecce, ITALY
)
10:10 AM
Wrapper-Based Variable Selection for Interacting Variables in Manufacturing
-
Marcus Engsig
(
Technical University of Denmark
)
10:30 AM
Break
Break
10:30 AM - 10:55 AM
10:55 AM
AI: Machine Learning and Predictive Analytics
10:55 AM - 11:55 AM
Room: Conference Room 102
Contributions
10:55 AM
A Two-Dimensional View of Classification Difficulty: Local Ambiguity and Global Separability
-
Yariv N. Marmor
(
BRAUDE - College of Engineering, Karmiel
)
11:15 AM
Ranking Sets of Variables by Multivariate Association: a Non Parametric Combination Approach
-
Elena Barzizza
(
University of Padova
)
11:35 AM
A two-layer model for opinion spread in hypergraphs as a Markov chain and as the object of machine learning methods
-
András Zempléni
(
Eötvös Loránd University, Budapest
)
Design of Experiments
10:55 AM - 11:55 AM
Room: Auditorium B
Contributions
10:55 AM
Gradient-Based Line Search for Continuous Optimal Designs in Spatial Statistics
-
Helmut Waldl
(
Johannes Kepler University Linz
)
11:15 AM
Robust D-Optimal Designs for Ordinal Split-Plot Experiments via Surrogate Objective Functions
-
Marcus Perry
(
University of Alabama
)
11:35 AM
Model Selection for Screening Experiments with Random Effects: An Adaptation of the SAMS Algorithm
-
Robin van der Haar
(
KU Leuven
)
Statistics in Industry, Business and Finance
10:55 AM - 11:55 AM
Room: Conference Room 103
Contributions
10:55 AM
Understanding Tourism Demand: A Tree-Based Analysis of Territorial Drivers
-
giulia contu
(
University of Cagliari
)
11:15 AM
Gastronomic Tourism in Italy: Measuring Tourist Attitudes and Identifying Market Segments
-
Francesca Bassi
(
University of Padova
)
Time Series, Forecasting and Dynamic Systems
10:55 AM - 11:55 AM
Room: Conference Room 106
Contributions
10:55 AM
A Semi-Supervised Framework for Optimisation-Based Label Inference in RUL Prediction
-
Joseph Cupit
(
The University of Manchester
)
11:15 AM
Diffusion Models for Multivariate Probabilistic Net Load Forecasting in Transmission Grid Congestion Management
-
Maxime Ducourau
(
EPFL
)
11:35 AM
INAR(1) Processes based on the Zipf-PSS distribution
-
Marta Perez-Casany
(
Universitat Politècnica de Catalunya
)
12:00 PM
Active Session - ENBIS-Live: Real Problems
12:00 PM - 1:30 PM
Room: Conference Room 103
Contributions
12:00 PM
ENBIS-Live: Real Problems. Real Time. Real Stats.
-
Jennifer Van Mullekom
(
Virginia Polytechnic Institute & State University
)
Bridging AI and Statistics
12:00 PM - 1:30 PM
Room: Conference Room 102
Contributions
12:00 PM
Applied Statistics in the Era of Artificial Intelligence: A focus on AI Assurance
-
Jie Min
(
University of South Florida
)
12:30 PM
Novel AI Solutions for Process Monitoring and Optimization
-
Bianca Maria Colosimo
(
Politecnico di Milano
)
1:00 PM
Discriminative Open Set Active Learning (DOSAL)
-
Bart De Ketelaere
(
Catholic University of Leuven
)
JQT / QE / Technometrics Session
12:00 PM - 1:30 PM
Room: Auditorium B
Contributions
12:00 PM
Constructing large OMARS designs by concatenating two definitive screening designs
-
Peter Goos
(
KU Leuven
)
12:30 PM
The allure and the perils of summarizing process performance in a single index
-
murat kulahci
(
DTU
)
1:00 PM
Time series models for cultural heritage preservation: The case of the Brunelleschi’s Dome
-
Fiammetta Menchetti
(
Università di Firenze
)
frENBIS Session - Advances in machine learning and sensitivity analysis
12:00 PM - 1:30 PM
Room: Conference Room 106
Contributions
12:00 PM
Geographically Weighted Regression for Low-Cost Sensors Calibration
-
Jean-Michel Poggi
(
University of Paris-Saclay
)
12:30 PM
Quantile oriented sensitivity analysis: why and how?
-
Véronique Maume-Deschamps
(
Institut Camille Jordan, Université Claude Bernard Lyon 1
)
1:00 PM
Shapelet learning via sparse feature selection for interpretable time series classification
-
Julien Pelamatti
(
EDF R&D
)
1:30 PM
Lunch
Lunch
1:30 PM - 2:30 PM
2:30 PM
AI: Machine Learning and Predictive Analytics
2:30 PM - 3:30 PM
Room: Conference Room 103
Contributions
2:30 PM
Semi-Supervised PARAFAC2 Decomposition for Computational Phenotyping Using Electronic Health Records
-
Mostafa Reisi Gahrooei
(
University of Florida
)
2:50 PM
Sustainable specialty chemical design through multi-objective latent-variable model inversion
-
Pierantonio Facco
(
University of Padova
)
3:10 PM
Decomposition of Serially Dependent Data into Static and Dynamic Latent Structures
-
Moritz Bauchrowitz
(
PhD Student
)
Data Analytics and Data Science: Case Studies
2:30 PM - 3:30 PM
Room: Conference Room 107
Contributions
2:30 PM
Nonparametric tests for multivariate stability data
-
Riccardo Ceccato
(
University of Padova
)
2:50 PM
Clustering for Detecting Careless Respondents: A Case Study
-
Silvia Villanova
(
University of Padova
)
3:10 PM
Preference mapping for product optimization: a case study
-
Alessandro Fanesi
(
Department of Management and Engineering, University of Padova, Stradella San Nicola, 3, Vicenza, 36100, Italy
)
Measurement Uncertainty and Metrology
2:30 PM - 3:30 PM
Room: Conference Room 106
Contributions
2:30 PM
Bias and Multiplicity in Producer Risk Estimation under Simplified Conformity Assessment Models
-
Omar Jair Purata Sifuentes
(
Universidad de Guanajuato
)
2:50 PM
A study of prior sensitivity in random effects models for decisions in interlaboratory comparisons: credible intervals versus Bayesian evidence
-
Séverine Demeyer
(
Laboratoire National de Métrologie et d'Essais
)
3:10 PM
An Interactive Software Application for Gauge R&R Analysis
-
Mahmut Onur Karaman
(
Hacettepe University
)
Statistical Process Monitoring
2:30 PM - 3:10 PM
Room: Auditorium B
Contributions
2:30 PM
Self-Starting Control Charts for Few-Shot In Situ Monitoring in Customized Manufacturing
-
Bianca Maria Colosimo
(
Politecnico di Milano
)
2:50 PM
Practical challenges and statistical solutions for process monitoring and control in dairy production
-
Ewa Szymanska
(
FrieslandCampina
)
Statistics in Pharma / Healthcare: Statistical Modelling and Learning for Biomedical Systems
2:30 PM - 3:30 PM
Room: Conference Room 102
Contributions
2:30 PM
Kinetic Models by Physics-Informed Statistical Learning Methods
-
Marco Galliani
(
Politecnico di Milano
)
2:50 PM
Bayesian network-based Tikhonov MRI reconstruction
-
Sébastien Marmin
(
Laboratoire national de métrologie et d'essais
)
3:10 PM
Statistics Can Go Farther
-
Dibyen Majumdar
(
University of Illinois at Chicago
)
3:35 PM
Keynote
3:35 PM - 4:35 PM
Room: Auditorium B
Contributions
3:35 PM
Domain Generalization and Adaptation in Digital Health (and beyond)
-
Peter Bühlmann
(
ETH Zurich, Seminar for Statistics
)
4:35 PM
Closing ceremony
4:35 PM - 4:45 PM
4:45 PM
Break
Break
4:45 PM - 5:00 PM
5:00 PM
ENBIS 2026 debrief meeting (Head LOC/POC Florenz&Barcelona, Exec, Office)
5:00 PM - 6:00 PM
Room: Auditorium B
Thursday, September 10, 2026
9:00 AM
JMP Workshop: Human + AI in the Loop: AI-Supported Analysis and Learning in JMP
Human + AI in the Loop: AI-Supported Analysis and Learning in JMP
9:00 AM - 1:00 PM
Room: Auditorium B
10:30 AM
Break
Break
10:30 AM - 10:55 AM
1:00 PM
Lunch
Lunch
1:00 PM - 1:45 PM
1:45 PM
Consultancy Skills: Storytelling with Data
Storytelling with Data
1:45 PM - 5:45 PM
Room: Auditorium B
3:30 PM
Break
Break
3:30 PM - 3:55 PM