Name: ENBIS-22 Trondheim Conference
Start: 2022-06-26T10:00:00+02:00
End: 2022-06-30T18:00:00+02:00
Location: No location set

ENBIS-22 Trondheim Conference

from Sunday, 26 June 2022 (10:00) to Thursday, 30 June 2022 (18:00)

Monday, 20 June 2022
Tuesday, 21 June 2022
Wednesday, 22 June 2022
Thursday, 23 June 2022
Friday, 24 June 2022
Saturday, 25 June 2022
Sunday, 26 June 2022

14:00 Registration
Registration
14:00 - 19:00
Room: Foyer

14:30 ECAS-ENBIS Course: Text Mining: from basics to deep learning tools
ECAS-ENBIS Course: Text Mining: from basics to deep learning tools
14:30 - 18:30
https://conferences.enbis.org/event/23/

16:00 Executive Committee Meeting
Executive Committee Meeting
16:00 - 17:00

17:00 Executive Committee + Council Meeting
Executive Committee + Council Meeting
17:00 - 18:30

Monday, 27 June 2022

08:00 Registration
Registration
08:00 - 09:00
Room: Foyer

09:00

09:00 - 09:30
Room: EL5

Registration
Registration
09:00 - 18:00
Room: EL4
09:30
09:30 - 10:30
Room: EL5
Contributions

09:30 Big data mining, modeling and monitoring for Manufacturing 4.0: opportunities and challenges - Bianca Maria Colosimo (Department of Mechanical Engineering, Politecnico di Milano)
10:30 Coffee Break
Coffee Break
10:30 - 11:00
11:00
11:00 - 12:30
Room: EL5
Contributions

11:00 Statistical Modeling and Monitoring of Geometrical Deviations in Complex Shapes With Application to Additive Manufacturing - Riccardo Scimone (Politecnico di Milano)

11:30 A Mixed Integer Optimization Approach for Model Selection in Screening Experiments - Eric Schoen (KU Leuven, Belgium)
11:00 - 12:30
Room: EL2
Contributions

11:00 Some challenges in calculating process capability indices from automatic data - Karel Kupka

11:30 Some optimization-theoretic issues in analysis of interval-valued data - Michal Černý (Prague University of Economics & Business)

12:00 On-line change detection using incremental learning systems. - Gejza Dohnal (Czech Technical University in Prague)
11:00 - 12:30
Room: EL6
Contributions

11:00 A semi-supervised approach to stream-based active learning for industrial processes - Davide Cacciarelli (Technical University of Denmark (DTU))

11:30 Improving PLS with lasso shrinkage, using the dual-SPLS package - Louna Alsouki (IFPEN)

12:00 Fault diagnosis in multiple stream processes using artificial neural networks, with an application to HVAC systems of modern passenger trains - Gianluca Sposito (Università degli Studi di Napoli Federico II - Dept. of Industrial Engineering)
12:30 Lunch break
Lunch break
12:30 - 13:30
13:30
13:30 - 14:30
Room: EL1
Contributions

13:30 Enbis Live - Open Project Session - Christian Ritter (Université Catholique de Louvain)
13:30 - 14:30
Room: EL5
Contributions

13:30 Efficient parameter estimation for multiresponse models with different subject characteristics - Juan M. Rodriguez-Diaz (University of Salamanca (Spain))

13:50 Optimal design to test for heteroschedasticity in a regression model - chiara tommasi (University of Milan)

14:10 From cluster tool to processing cells KPI in semiconductor manufacturing: Data-driven findings and insights - Sokol Koço (Ecole des Mines de St Etienne) Valeria Borodin (Ecole des Mines de St Etienne)
13:30 - 14:30
Room: EL6
Contributions

13:30 Exploring connections between multivariate Bernoulli distributions and discrete copulas - Roberto Fontana

13:50 Analysis of multi-group data in a three-way structure - Marta Rotari (DTU Technical University of Denmark)
13:30 - 14:30
Room: EL2
Contributions

13:30 Modeling the patient mix for risk-adjusted CUSUM charts - Philipp Wittenberg (Helmut Schmidt University)

13:50 Automated Process of Collecting Product Test Data and Creating Alarm Reports for Root Cause Analysis - Astrid Ruck (Autoliv B.V.&Co. KG)
14:40
14:40 - 15:40
Room: EL2
Contributions

14:40 Detecting spatio-temporal anomalies in Italian mortality during the first year of the COVID-19 pandemic. - Piercesare Secchi (Politecnico di Milano - Department of Mathematics)

15:00 Is the difference in means always a good measure for an effect? - Øystein Evandt (Evandt Industrial Statistics)

15:20 GENEOnet: a GENEO based approach to Pocket Detection. - Giovanni Bocchi (Department of Environmental Science and Policy, University of Milan)
14:40 - 15:40
Room: EL5
Contributions

14:40 One D-optimal main effects design is not the other - Mohammed Saif Ismail Hameed (KU Leuven)

15:00 Are covariances meaningless in criteria for optimal designs for prediction? - Helmut Waldl (Johannes Kepler University Linz)

15:20 A blocked split-plot experiment to detect the influential steps in a cell-based bioassay - Alexandre Bohyn (KU Leuven)
14:40 - 15:40
Room: EL6
Contributions

14:40 Binary Classification of Gas-Chromatograms using Data-Driven Methods - Caterina Rizzo (Eindhoven University of Technology/Dow)

15:00 Functional analysis of variance in presence of outliers: the RoFANOVA approach - Fabio Centofanti (University of Naples)

15:20 SPC in the 21st Century – Effective or “Passé”? - Avner Halevy (University of Haifa)
14:40 - 15:40
Room: EL1
Contributions

14:40 Distributed Statistical Process Monitoring based on Causal Network Decomposition - Marco P. Seabra dos Reis (Department of Chemical Engineering, University of Coimbra)

15:00 Monitoring time to event in registry data using CUSUMs based on excess risk models - Jan Terje Kvaløy (University of Stavanger)

15:20 Adding Covariables and Learning Rules to GAN for Process Units' Suffix Predictions - Yoann Valero (Your Data Consulting)
15:40 Coffee Break
Coffee Break
15:40 - 16:00
16:00
16:00 - 17:05
Room: EL5
Contributions

16:05 In-Process Quality Improvement: Concepts, Methodologies, and Applications - Jianjun Shi (Georgia Institute of Technology)
17:10
17:10 - 17:30
Room: EL5
Contributions

17:10 Be prepared to challenge the System – do not accept the status quo! - Martin Gibson (AQUIST Consulting)
17:35

17:35 - 18:35
Room: EL5

19:30 Organ concert in Cathedral
Organ concert in Cathedral
19:30 - 20:00

20:00 Welcome reception at Café To Tårn
Welcome reception at Café To Tårn
20:00 - 22:00
Tuesday, 28 June 2022

08:00 Registration
Registration
08:00 - 18:00
Room: EL4
08:30
08:30 - 09:30
Room: EL6
Contributions

08:30 On Re-Identification of Warehousing Entities - Jérôme Rutinowski (TU Dortmund University)

09:00 Dataset Creation and Transfer Learning for Human Activity Recognition in Logistics - Christopher Reining (TU Dortmund University) Lena Schmid (TU Dortmund University)
08:30 - 10:00
Room: EL2
Contributions

08:30 Implementation of self-starting monitoring schemes based on online parameter learning - Giovanna Capizzi (Department of Statistical Sciences)

09:00 Optimal subset selection without outliers - Laura Deldossi (Università Cattolica del Sacro Cuore)

09:30 Comparing Nonparametric Change-Point Control Charts for Detecting Radioxenon Anomalous Concentrations - Michele Scagliarini (Department of Statistical Sciences, University of Bologna, Italy)
08:30 - 10:00
Room: EL5
Contributions

08:30 Entropy-based adaptive design for contour finding and estimating reliability - Robert Gramacy (Virginia Tech)

09:00 Predicting Pangolin Lineage Call Success with Coverage Rates of SARS-CoV-2 Genomic Samples - Tim Robinson (University of Wyoming)

09:30 Data Preparation and Model Evaluation: The Interface of Machine Learning and Statistics - Fadel M. Megahed (Farmer School of Business, Miami University (OH))
10:10
10:10 - 11:10
Room: EL6
Contributions

10:10 Bayesian sample size determination for Multisite Replication Studies - Konstantinos Bourazas (Università Cattolica del Sacro Cuore, Milan)

10:30 A proposal for multiresponse Kriging optimization - Rossella Berni

10:50 DOE in Stages: Designs to Exploit Interim Results - Jacqueline Asscher (Kinneret College)
10:10 - 11:10
Room: EL2
Contributions

10:10 Data-driven modelling of a pelleting process and prediction of pellet physical properties - Joseph Emerson (Johnson matthey)

10:30 Monitoring proportions with two components of common cause variation - Rob Goedhart (University of Amsterdam)

10:50 Modelling peak pain migraine-attack severity: sharing successes and flaws - Marina Vives-Mestres (Curelator)
10:10 - 11:10
Room: EL5
Contributions

10:10 Multivariate Statistical Process Control for Real-time Monitoring on Count Data - Mona Emampour

10:30 Process diagnostics using multivariate process capability indices - Flavia Dalia Frumosu (Technical University of Denmark)
10:10 - 11:10
Room: EL1
Contributions

10:10 A first look at optimal maintenance plans via reinforcment learning - Antonio Pievatolo (CNR-IMATI)

10:30 Non-parametric Data-based Maintenance Optimization Using Machine Learning Algorithms - HASAN MISAII (University of TEHRAN and University of Technology of TROYES)

10:50 Modeling of repairable systems using Poisson processes and their extensions. Application to reliability analysis of wind turbine data. - Bo Henry Lindqvist (Norwegian University of Science and Technology)
11:10 Coffee Break
Coffee Break
11:10 - 11:30
11:30
11:30 - 12:30
Room: EL6
Contributions

11:30 Generative models and Bayesian inversion using Laplace approximation - Manuel Marschall (Physikalisch-Technische Bundesanstalt)

11:50 Minimal sample size in balanced ANOVA models and its calculation using the R package ``miniSize'' - Bernhard Spangl (University of Natural Resources and Life Sciences, Vienna)

12:10 What makes a car detailing job great? – Adaptive Multi-Stage Customer DOE - Zhiwu Liang (P&G)
11:30 - 12:30
Room: EL2
Contributions

11:30 A hybrid approach to transfer learning for product quality prediction - Joel Sansana (University of Coimbra)

11:50 Predictive Ratio Cusum (PRC): A Bayesian Approach in Online Change Point Detection of Short Runs - Panagiotis Tsiamyrtzis (Politecnico di Milano)

12:10 Defining a design space of climate conditions for engineering design - Max Spooner (Technical University of Denmark)
11:30 - 12:30
Room: EL5
Contributions

11:30 R2R Control of a Chemical-Mechanical-Polishing Process Based on Machine Learning Techniques - Lucile Terras (EMSE (Ecole des Mines de Saint-Etienne))

11:50 Multivariate data analysis for faster root cause identification in semiconductor industry - Ilham Rabhi (Ecole Mines Saint-Etienne)

12:10 Methods for variable time-delay estimation in industrial data - Marco Cattaldo (Nofima)
11:30 - 12:30
Room: EL1
Contributions

11:30 Challenges and obstacles in lifetime operational data modeling of czech military jet aircraft - Milan Pšenička (AERO Vodochody AEROSPACE a.s.)

11:50 Consideration of prior information generated by component tests in the reliability verification of a technical subsystem - Nikolaus Haselgruber (CIS Consulting in Industrial Statistics GmbH)
12:30 Lunch Break
Lunch Break
12:30 - 13:30
13:30
13:30 - 14:35
Room: EL5
Contributions

13:35 Statistical Influence - Peter Parker (National Aeronautics and Space Administration)

14:05 Sequential Learning of Active Subspaces - Mickael Binois (INRIA Sophia Antipolis - Méditerranée )
14:40
14:40 - 16:10
Room: EL2
Contributions

14:40 Comparing statistical and machine learning methods for time series forecasting in data-driven logistics - a simulation study - Lena Schmid (TU Dortmund University)

15:10 Synthetic Demand Generation in a Farming-for-Mining-Framework for Logistics Networks - Joachim Hunker (TU Dortmund)

15:40 Statistical model for pavement rutting based on annual pavement surface measurements. - Natoya Jourdain (NTNU)
14:40 - 16:10
Room: EL6
Contributions

14:40 Model predictivity assessment: incremental test-set selection and accuracy evaluation - Elias Fekhari (EDF R&D)

15:10 Textual Data for Time Series Forecasting - David Obst (EDF R&D)

15:40 Modelling Electric Vehicle Load and Occupancy at Charging Points - Yvenn Amara-Ouali (Université Paris Saclay)
14:40 - 16:10
Room: EL5
Contributions

14:40 Multiblock data fusion - Kristian Hovde Liland (NMBU)

15:10 Challenges and Opportunities in Industrial Statistics in Industry 4.0 - Murat Kulahci (DTU)

15:40 A Control Chart for signal detection in the Covid-19 pandemic - Bo Bergman (Chalmers University of Technology, Department of Total Quality Management)
16:10 Coffee Break
Coffee Break
16:10 - 16:30
16:30
16:30 - 17:30
Room: EL1
Contributions

16:30 ACTIVE SESSION: HANDS-ON PROJECTS FOR TEACHING DoE - Shirley Coleman (ISRU, Newcastle University) Sonja Kuhnt (Dortmund University of Applied Sciences and Arts)
16:30 - 17:30
Room: EL6
Contributions

16:30 Statistical Machine Learning for defining the Design Space - Joan Borràs-Ferrís (Universitat Politècnica de València)

16:50 Threshold tuning methods in predictive monitoring - Paulina von Stackelberg (University of Amsterdam)
16:30 - 17:30
Room: EL5
Contributions

16:30 On distribution distance in a transfer learning context for virtual metrology - Rebecca Clain (Mines Saint Etienne)

17:10 Petroleum Exploration, Debt and Firm Financing: Evidence from Norway - Johannes Mauritzen (Norwegian University of Science and Technology)
16:30 - 17:30
Room: EL2
Contributions

16:30 Lifetime Drift Model for Discrete Data for Semiconductor Devices - Lukas Sommeregger (Infineon Technologies Austria AG) Horst Lewitschnig (Infineon Technologies Austria AG)

16:50 Comparing statistical and machine learning models for predictive maintenance in solar power plants - Gøran Sildnes Gedde-Dahl (NMBU)

17:10 Preprocessing and process mining for business-to-business sales forecasting - Osmo Kauppila (University of Oulu)
17:35
17:35 - 18:35
Room: EL6
Contributions

17:35 Tailoring DOE Constraints to the Problem - Volker Kraft (JMP)

17:55 Robustness analysis in uncertainty quantification via perturbed law-based sensitivity indices - Bertrand Iooss (EDF R&D)
17:35 - 18:35
Room: EL5
Contributions

17:35 Simulation-based virtual environments for practicing data-collection skills - Eddie Schrevens (K. Universiteit Leuven)

17:55 How should we teach (frequentist) statistics? Coverage and interval estimation - Mark Schaffer (Heriot-Watt University)

18:15 Improving the teaching of basic statistical inference for social science students - Hendry Raharjo (Chalmers University)
17:35 - 18:35
Room: EL1
Contributions

17:35 The GUM perspective on straight-line errors-in-variables regression - Katy Klauenberg (Physikalisch-Technische Bundesanstalt (PTB))

17:55 How to avoid overestimation of the real variation between objects measured on the ordinal scale - Emil Bashkansky (ORT Braude College of Engineering)
17:35 - 18:35
Room: EL2
Contributions

17:35 Cost-optimal control charts for mixture shift-size distributions - András Zempléni (Eötvös Loránd University, Budapest)

17:55 IMR — old SPC/M working horse and some numerical treasures - Sven Knoth (Helmut Schmidt University Hamburg, Germany)

18:15 A p-Value for a True Change when a Cusum Stops - Mosher Pollak (The Hebrew University of Jerusalem)
20:00 Dinner at ArchBishop’s Palace
Dinner at ArchBishop’s Palace
20:00 - 23:00
Wednesday, 29 June 2022

08:00 Registration
Registration
08:00 - 11:30
Room: EL4
08:30
08:30 - 10:00
Room: EL2
Contributions

08:30 Geometric variation included in computer modelling and a Digital Twin as an opportunity to get adaptive manufacturing - Soren Knuts

09:00 Boosting culture advancement when reinforcing cornerstones of statistical thinking - Peter Hammersberg (Chalmers University of Technology)

09:30 Case studies of Digital twins in Quality Engineering - Bart De Ketelaere (KU Leuven, Department of Biosystems)
08:30 - 10:00
Room: EL5
Contributions

08:30 A Constrained Low-Rank Sparse Decomposition for Anomaly Detection in Photovoltaic Systems - Kamran Paynabar (School of Industrial and Systems Engineering)

09:00 Robust Coupled Tensor Decomposition and Feature Extraction for Multimodal Medical Data - Mostafa Reisi Gahrooei (University of Florida)

09:30 A Novel Semi-supervised Learning Model for Smartphone-based Health Telemonitoring - Nathan Gaw (Air Force Institute of Technology)
08:30 - 10:00
Room: EL6
Contributions

08:30 JMP 17 New Features Coming in Autumn 2022 - Volker Kraft (JMP)

09:00 Statistical process control of multivariate functional data in R - Christian Capezza (Department of Industrial Engineering, University of Naples "Federico II")

09:30 Industrial batch process modeling strategies and inference - Geir Rune Flåten (Aspen Technology, Inc.)
10:00 Coffee Break
Coffee Break
10:00 - 10:20
10:20
10:20 - 11:20
Room: EL5
Contributions

10:20 How the UK land contamination industry inadvertently became the first to move to a world beyond p<0.05 - Nigel Marriott (Marriott Statistical Consulting Ltd)

10:40 Copula Shrinkage and Portfolio Allocation in Ultra-High Dimensions - Stanislav Anatolyev (CERGE-EI)
10:20 - 11:20
Room: EL2
Contributions

10:20 Segmentation and clustering new types of data in metric space - Yariv Marmor (ORT Braude College of Engineering) Emil Bashkansky (ORT Braude College of Engineering)

10:40 SmartPad: a predictive wear model based on the thermal dynamics of brake pads - Francesco Picasso (Politecnico di Torino)

11:00 Predictive monitoring using machine learning algorithms and a real-life example on schizophrenia - Leo Huberts (University of Amsterdam)
10:20 - 11:20
Room: EL6
Contributions

10:20 A Comprehensive Review and Comparison of Control Charts for Ordinal Samples - Sebastian Ottenstreuer (Helmut Schmidt University)

10:40 A novel multi-set data analysis approach for enhancing industrial process understanding and troubleshooting - Raffaele Vitale (University of Lille)

11:00 The effects of foreign ownership of business on Italian employment - A pre-crisis period analysis - Matilde Bini (Department of Human Sciences, European University of Rome)
10:20 - 11:20
Room: EL1
Contributions

10:20 Lean Six Sigma in healthcare and the COVID-19 crisis - Ronald J.M.M. Does (IBIS UvA and University of Amsterdam)

10:40 Process Optimization from Historical Data in Industry 4.0 - Sergio García Carrión (Universitat Politècnica de València (UPV))

11:00 Control Group versus Treatment Group Designs with Mixture Distributions - Daniel R. Jeske (University of California, Riverside)
11:30
11:30 - 12:30
Room: EL5
Contributions

11:30 Modern DOE: From Definitive Screening Designs Towards Definitive Response Surface Designs? - Peter Goos (Mechatronics, Biostatistics and Sensors (MeBioS))
12:30

12:30 - 13:00
Room: EL5

14:00 Post conference course: Multivariate data analysis through case studies
Post conference course: Multivariate data analysis through case studies
14:00 - 18:00

Post conference discussion between LOC, the next conference organisation committe, EXEC+Office.
Post conference discussion between LOC, the next conference organisation committe, EXEC+Office.
14:00 - 15:30
Thursday, 30 June 2022

09:00 Post-Conference Course: Extreme value statistics in applications
Post-Conference Course: Extreme value statistics in applications
09:00 - 13:00

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