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

PolySense: Sustainable Intelligence

Yarne De Munck, Polysense, Ghent, Belgium

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

A World of Agents

Leon Rothkrantz, Czech Technical University, Prague, Czech Republic

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

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


Data Security and Analysis Methodology

Information-thermodynamic Consideration on Cancer Cells

Bohdan Hejna, University of Chemistry and Technology, Department of Mathematics, Prague, Czech Republic

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

Towards a Domestic Microbial Cyborg

Rachel Armstrong, Department of Architecture, Faculty of Architecture, Campus Sint-Lucas and KU Leuven, Ghent/Belgium

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

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

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