DATA-DRIVEN AND ARTIFICIAL INTELLIGENCE (AI) METHODOLOGIES FOR BIOCHEMICAL AND BIOPROCESS SYSTEMS MODELLING AND PREDICTION, OPTIMISATION AND CONTROL

Ref.No: 61411100
Start date: 31.05.2024
End date: 15.09.2025
Approval date: 31.05.2024
Department: CHEMICAL ENGINEERING
Sector: PROCESS ANALYSIS AND PLANT DESIGN
Financier: ΕΠΙΤΕΛΙΚΗ ΔΟΜΗ ΕΣΠΑ, ETHNIKO TAMEIO ANAKAMPSIS KAI ANTHEKTIKOTITAS/UP. PAIDEIAS THRISK & ATHLITISMOU
Budget: 94.975,00 €
Public key: Ψ16Η46ΨΖΣ4-ΓΜΤ
Scientific Responsible: Prof. BOUDOUVIS
Email: boudouvi@chemeng.ntua.gr
Description: HE MAIN THEME OF THE RESEARCH AND TEACHING ACTIVITIES WILL BE IN THE AREA OF DATA-DRIVEN AND ARTIFICIAL INTELLIGENCE (AI) METHODOLOGIES FOR BIOCHEMICAL AND BIOPROCESS SYSTEMS MODELLING AND PREDICTION, OPTIMISATION AND CONTROL. EXPERIMENTAL RESULTS FROM EXPERIMENTS CONDUCTED AT THE PI’S LABORATORY AT THE UNIVERSITY OF MANCHESTER WILL ALSO BE APPROPRIATELY UTILISED. THIS WILL CAPITALISE ON THE SIGNIFICANT EXPERIENCE AND EXPERTISE OF THE APPLICANT IN RELEVANT METHODS AND TECHNIQUES.
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