Programme

Programme

This is a first draft of the event programme. Information is subject to changes.

24-06-24 Day 1
Start End Topic Where
09:00 10:00 Welcome reception with coffee and cake Lounge
10:00 10:15 Conference opening Lecture room
10:15 11:05 Invited lecture 1 – “Metabolomics in Food Industry: how to optimize the color,flavour and texture properties of food with chemometrics”
by Doris Jacobs
(Unilever, the Netherlands)
Lecture room
11:05 11:20 Review of invited lecture 1 Lecture room
11:20 11:50 Floor discussion Lecture room
12:00 13:00 Lunch Lounge
13:00 14:00 Flash talks + poster walk Poster room
14:00 14:30 Contributed talk 1 – “One Class Modelling in Metabolomics studies: dealing with heterogeneous and sparse data”
by Robert van Vorstenbosch
(Utrecht University, the Netherlands)
Lecture room
14:30 15:00 Contributed talk 2 – “Leveraging Convex Hull Peeling for Enhanced Hyperspectral Image Discrimination”
by Mahdiyeh Ghaffari
(Radboud University, the Netherlands)
Lecture room
15:00 15:20 Coffee break Lounge
15:20 16:10 Invited lecture 2 – “Coupling randomization and sparsity for exploratory analysis of large hyperspectral datasets”
by Jose Manuel Amigo
(University of Basque Country, Spain)
Lecture room
16:10 16:25 Review of invited lecture 2 Lecture room
16:25 16:50 Floor discussion Lecture room
16:50 18:00 Check in hotel Reception
18:00 21:00 Welcome BBQ dinner Restaurant
       
25-06-24 Day 2
Start End Topic Where
09:00 09:30 Contributed talk 3 – “Model complexity in PARAFAC models”
by Asmund Rinnan
(University of Copenhagen, Denmark)
Lecture room
09:30 10:00 Contributed talk 4 – “An ASCA-like factorization for heterogeneous data”
by Michael Sorochan Armstrong
(University of Granada, Spain)
Lecture room
10:00 10:20 Coffee break Lounge
10:20 11:10 Invited lecture 3 – “Federated chemometrics” by Ramin Nikzad-Langerodi
(Software Competence Center Hagenberg, Austria) 
Lecture room
11:10 11:25 Review of invited lecture 3 Lecture room
11:25 11:55 Floor discussion Lecture room
12:00 13:00 Lunch Lounge
13:00 14:00 Conference walk Lounge
14:00 15:00 Flash talks + poster walk Poster room
15:00 15:20 Coffee break Lounge
15:20 16:10 Invited lecture 4 – “Applications of Partial Least Squares Regression to Environmental Sciences and Public Health” 
by Beatriz Galindo-Prieto
(Imperial College London, United Kingdom)
Lecture room
16:10 16:25 Review of invited lecture 4 Lecture room
16:25 16:55 Floor discussion Lecture room
17:00 18:00 Networking game in the lounge Poster room
18:00 19:30 Dinner Restaurant
19:30 20:30 Special lecture – ” The subtle AI revolution” by Eric Postma
(Tilburg University & Technical University Eindhoven, the Netherlands)
Lecture room
       
26-06-24 Day 3
Start End Topic Where
09:00 09:30 Contributed talk 5 – “Locally-Weighted-RoBoost-PLS: a novel approach to simultaneously handle non-linearities and outliers”
by Daniele Tanzilli
(University of University Of Modena And Reggio Emilia, University of Lille, IT and FR)
Lecture room
09:30 10:00 Contributed talk 6: tba Lecture room
10:00 10:20 Coffee break Lounge
10:20 11:10 Invited lecture 5 – “The influence of sources of variability in measurements with portable spectroscopy”
by Barbara Giussani
(University of Insubria, Italy)
Lecture room
11:10 11:25 Review of invited lecture 5 Lecture room
11:25 11:55 Floor discussion Lecture room
12:00 13:00 Lunch Lounge
13:00 13:30 Contributed talk 7 – tba  Lecture room
13:30 14:00 Contributed talk 8 – tba  Lecture room
14:15 18:00 Conference excursion  
18:30 22:00 Gala Dinner Restaurant
       
27-06-24 Day 4
Start End Topic Where
09:00 09:30 Contributed talk 9 – “Extracting analyte information from NMR spectra from upcycled food waste”
by Erik Tengstrand
(Nofima, Norway)
Lecture room
09:30 10:00 Contributed talk 10 – “From fingerprints to footprints: near-infrared spectroscopy for more sustainable feed production”
by Maria Cairoli
(Radboud University, the Netherlands)
Lecture room
10:00 10:20 Coffee break Lounge
10:20 11:10 Invited lecture 6 – ‘Designing explainable Multiblock AI models for industrial predictive and prescriptive analytics”
by Geert van Kollenburg
(Eindhoven University of Technology, the Netherlands)
Lecture room
11:10 11:25 Review of invited lecture 6  Lecture room
11:25 11:55 Floor discussion Lecture room
12:00 13:00 Lunch Lounge
13:00 13:30 Awards ceremony + closing Lecture room
13:30 14:00 Farewell Lecture room