Session 1: AI in materials and life sciences and applications
17:00–17:40 Keynote: Prof. Y. Kevrekidis – Learning Coarse-Grained and Emergent Evolution Equations from Data
17:40–18:15 Presentations: Shengze Cai, He Li, Fuyin Zheng, Fang Kong,Ming Dao and George Karniadakis – 3D Motion and Pressure Inference of Blood Flow in a Microchip via Physics-Informed Neural Networks Antonios Stellas, George Giannakopoulos and Vassilios Constantoudis – Hybridizing AI and domain knowledge in nanotechnology: The example of surface roughness effects on wetting behavior Alexios Chatzigoulas and Zoe Cournia – Prediction of protein-membrane interfaces of peripheral membrane proteins using machine learning
18:35–19:15 Keynote: Prof. I. Athanasiadis – Artificial intelligence for digital twins in natural and agricultural sciences
19.15–20.10 Presentations: Vasilis Pollatos, Loukas Kouvaras and Eleni Charou – Land Cover Semantic Segmentation Using ResUNet Dimitrios Politikos, Elias Fakiris, Athanasios Davvetas, Iraklis Klampanos and George Papatheodorou – Deep learning for automating seafloor marine litter detection Evangelos Athanasakis, Theodosios Kassandros and Kostas Karatzas – Analysis of traffic and air pollutant patterns in Thessaloniki city centre, Greece Aristotelis Kyriakis and Konstantinos Karafasoulis – An AI approach in Radioactive Source Localization by a Network of small form factor CZT Sensors Athanasios Davvetas and Iraklis Angelos Klampanos – Unsupervised Severe Weather Detection Via Joint Representation Learning Over Textual and Weather Data
Session 3: Interaction between quantum computing and AI
20.30–21.10 Keynote: Dr. V.Katopodis – Quantum Computing for the 21st Century
21.10–21.35 Presentations: Dionisis Stefanatos, Kostas Blekos, Ioannis Thanopulos and Emmanuel Paspalakis – Quantum control of generic quantum systems and nanostructures for quantum technologies: Different approaches Ioannis Karafyllidis, Panagiotis Dimitrakis and Georgios Sirakoulis – Quantum computing for biological molecules and pathways
1)Will Van Hyning, Behnam Ahmadikia, Orestis Paraskevas, Jonathan Hestroffer, Irene Beyerlein and Christos Thrampoulidis – Bayesian optimization for maximizing the stiffness of polycrystalline HCP titanium
2)Panagiotis Krokidas, Stelios Karozis, George Giannakopoulos, Michael Kainourgiakis and Theodore Steriotis – Machine Learning-driven design of CO2-selective metal-organic framework membranes
3)Effrosyni Karakitsou, Carles Foguet, Silvia Marin, Pedro de Atauri, Jean-Baptiste Cazier and Marta Cascante – Combining GSMMs with machine learning: a new tool in the development of personalised medicine
5)Christina Vasilopoulou, Nikiforos Pittaras and George Giannakopoulos – A study of different, personalised representations of multi-omic data for bladder cancer tissue prediction
1) Dimitrios Politikos, Georgios Petasis, Archontia Chatzispyrou, Chryssi Mytilineou and Aikaterini Anastasopoulou – Deep Learning in Fisheries: Automating fish age prediction combining otolith images and convolution neural networks
4) Stelios Karozis and Iraklis Klampanos – A Deep Learning approach for spatial and time error correction of Numerical Weather Prediction simulation data
5) Konstantinos Biziouras, Theodosios Kassandros and Konstantinos Karatzas – On-line environmental data analysis and modelling with Computational Intelligence method