SCIFI-IT'2023 Preliminary Programme

Session Timing
  • 16.00-17.30   Registration
  • 16.00-17.30   Welcome Drink

  • 09.00-17.00   Registration
  • 09.00-09.45   Welcome Address and introduction to SCIFI-IT'2023
  • 09.45-10.30   Invited Speaker
  • 10.30-11.00   Coffee Break
  • 11.00-12.30   Session
  • 12.30-13.30   Lunch
  • 13.30-14.30   Invited Speaker
  • 14.30-15.00   Coffee Break
  • 15.00-16.00   Invited Speaker
  • 16.00-  Free Evening

  • 08.30-17.00   Registration
  • 09.00-10.00   Invited Speaker
  • 10.00-10.30   Coffee Break
  • 10.30-11.30   Session
  • 11.30-12.30   Invited Speaker
  • 12.30-13.30   Lunch
  • 13.30-14.30   Invited Speaker
  • 14.30-15.00   Coffee Break
  • 15.00-16.00   Brewery Visit
  • 16.00-17.00   Combined Session
  • 17.00-17.15   Closing Session
  • 19.00-  Conference Dinner

Invited Talks

SCIFI_INV_01
PolySense: Sustainable Intelligence
Yarne De Munck, Polysense, Ghent, Belgium

SCIFI_INV_02
QFVSOOM a Quantum Object-Oriented Model Based on Temporal Fuzzy Vector Spaces that unifies the Microscopic and Macroscopic Levels of Quantic Mechanics
Joël Colloc, Université of Le Havre, Le Havre,France

SCIFI_INV_03
A World of Agents
Leon Rothkrantz, Czech Technical University, Prague, Czech Republic

SCIFI_INV_04
Compostable Cities: from Waste to Resource
Tria Amalia Ningsih, Simen Akkermans, Rachel Armstrong and Jan F.M. Van Impe, University of Leuven, Campus Ghent, Ghent, Belgium

SCIFI_INV_05
Modelling and Optimisation of Small-scale Biorefineries: Tools for the Future
Viviane De Buck, Mihaela Sbarciog, Satyajeet Sheetal Bhonsale,, Monika Polanska and Jan F.M. Van Impe, University of Leuven, Campus Ghent, Ghent, Belgium

Sessions

Data Security and Analysis Methodology

SCIFI_AUG_01
Information-thermodynamic Consideration on Cancer Cells
Bohdan Hejna, University of Chemistry and Technology, Department of Mathematics, Prague, Czech Republic

SCIFI-INTERFAC_01
Development of Public Health Data Regulatory Models from a linked Democracy Perspective
Izabella V. Lokshina, SUNY Oneonta, Oneonta NY, USA and Cees J. M. Lanting, DATSA Belgium, Consulting, Leuven, Belgium

Intelligent Behaviour

SCIFI_METH_ROB_01
Towards a Domestic Microbial Cyborg
Rachel Armstrong, Department of Architecture, Faculty of Architecture, Campus Sint-Lucas and KU Leuven, Ghent/Belgium

SCIFI_N_01
From Individual Components to Collective Behaviour: Modelling Emergence with PDEs and IbMs
Jian Wang, Ihab Hashem, Satyajeet Sheetal Bhonsale and Jan F.M. Van Impe, University of Leuven, Campus Ghent, Ghent, Belgium

COMBINED SESSION TRENDS in BREWING: Flavour & Flavour Stability

BB
Prediction of Sensory Stability of Beer by Infrared Spectroscopy coupled with Artificial Intelligence
Tomáš Vrzal, Jan Enge, Jana Olšovská, Research Institute of Brewing and Malting, Czech Republic, and Pilsner Urquell Brewery, Czech Republic

BB
Using AI and Machine Learning to predict Beer Flavor and Guide Product Development
Michiel Schreurs, Supinya Piampongsant, Miguel Roncoroni, Beatriz Herrera and Kevin Verstrepen, VIB-KU Leuven Center for Microbiology, Centre of Microbial and Plant Genetics, KU Leuven, Leuven Institute for Beer Research (LIBR), KU Leuven, Leuven, Belgium