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Computational Science Summer School 2025 (CSSS2025)
Optimization and Modelling in Finance and Bioscience
17-21 February 2025
Silpakorn University, Sanam Chandra Palace Campus
Nakhon Pathom, Thailand


Special Talk

Yongwimon Lenbury

Centre of Excellence in Mathematics, Thailand

Topic "Preparing Educators for GenAI Future: from a Personal Perspective"


Invited Speakers

Andreas Sommer

Heidelberg University, Germany

Topic "Introduction to biochemical modeling" and "Parameter Estimation in SDE "


Ursula Kummer

Heidelberg University, BioQuant, Germany

Topic "Methods and recent advances in simulation and analysis of biochemical systems"


Francine Diener

LJAD, Université de Côte d'Azur, France

Topic: "Markov Chain Modeling and Markov Decision Processes" and "Markov Chain with Income - May Microcredit Lead to Inclusion?"


Andrea DeGaetano

Istituto per la Ricerca e l’Innovazione Biomedica del Consiglio Nazionale delle Ricerche (CNR- IRIB), Italy

Topic"Fractional stochastic differential models of glucose control"


Ekaterina Kostina

Heidelberg University, Germany

Topic "Optimum Experimental Design with applications in biochemistry and enzyme reactors"


Pairote Sattayatham

Silpakorn University, Thailand

Topic "Some aspects of research in financial mathematics"


Parin Chaipunya

King Mongkut’s University of Technology Thonburi, KMUTT, Thailand

Topic "On Witsenhausen's paradigm to multi-agent optimization with a touch of energy applications"


Sanae Rujivan

Walailak University, Thailand

Topic " Hybrid PDE System Solutions with Financial Applications"


Krung Sinapiromsaran

Chulalongkorn University, Thailand

Topic "Deeping Learning in Optimization"


Udomsak Rakwongwan

Kasetsart University, Thailand

Topic "Financial Mathematics in Quantitative Trading"


Chawalit Jeenanunta

Sirindhorn International Institute of Technology, Thammasat University

Topic "Fuzzy optimization applications in Finance and Energy"


Uten Yarach

Chiang Mai University, Thailand

Topic "Deep convolutional neural network for inverse problems in magnetic resonance imaging reconstruction"