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

18:15–18:35
Virtual poster session/Lightning talks:
Will Van Hyning, Behnam Ahmadikia, Orestis Paraskevas, Jonathan Hestroffer, Irene Beyerlein and Christos Thrampoulidis – Bayesian optimization for maximizing the stiffness of polycrystalline HCP titanium
Panagiotis Krokidas, Stelios Karozis, George Giannakopoulos, Michael Kainourgiakis and Theodore Steriotis – Machine Learning-driven design of CO2-selective metal-organic framework membranes
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
Stelios Karozis, George Giannakopoulos and Micheal Kainourgiakis – A data-driven analysis of self-assembled lipid bilayer
Christina Vasilopoulou, Nikiforos Pittaras and George Giannakopoulos – A study of different, personalised representations of multi-omic data for bladder cancer tissue prediction
Anastasios Gkotzias – Carbon Nano – Injectors in Living Cells; Workflow Design of Molecular Simulations

Session 2: AI in environmental science

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

20.10–20.30
Virtual poster session/Lightning talks:
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
Petros Zimianitis and Konstantinos Karatzas – Analysis and modeling of low-cost air quality sensor data towards their computational improvement
Nikolaos Sykiniotis, Athanasios Davvetas and Iraklis Angelos Klampanos – Evaluating Clustering Strategies for Fixed and Variable Length Weather Data Segmentations
Stelios Karozis and Iraklis Klampanos – A Deep Learning approach for spatial and time error correction of Numerical Weather Prediction simulation data
Konstantinos Biziouras, Theodosios Kassandros and Konstantinos Karatzas – On-line environmental data analysis and modelling with Computational Intelligence method

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

21.35–22.00
Virtual poster session/Lightning talks:
Anastasios Markellos, Filippos Filias and Kostas Blekos – Quantum machine learning for image classification using kernel methods
Filippos Filias, Anastasios Markellos and Kostas Blekos – AI in quantum error correction: Generating self-correcting quantum circuits with genetic algorithms
Athina Bikaki, Vasileios Vlaseros and Iraklis Klampanos – Two AI-Inspired Methods for Estimating an SME’s Total Transactions Wallet
Kostas Blekos – Particle track reconstruction with a hybrid quantum machine learning algorithm.
Closing

Private room links for lighting/poster sessions

(usable during the workshop)

Session 1

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

https://meet.jit.si/BO_HCPTi_QA

2)Panagiotis Krokidas, Stelios Karozis, George Giannakopoulos, Michael Kainourgiakis and Theodore Steriotis – Machine Learning-driven design of CO2-selective metal-organic framework membranes

https://meet.jit.si/AINST-2020_KROKIDAS

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

https://meet.jit.si/AINST-paper14

4)Stelios Karozis, George Giannakopoulos and Micheal Kainourgiakis – A data-driven analysis of self-assembled lipid bilayer

https://meet.jit.si/AINST-2020_KAROZIS

5)Christina Vasilopoulou, Nikiforos Pittaras and George Giannakopoulos – A study of different, personalised representations of multi-omic data for bladder cancer tissue prediction

https://join.skype.com/gdihsvUOu8Uy

6)Anastasios Gkotzias – Carbon Nano – Injectors in Living Cells; Workflow Design of Molecular Simulations

https://meet.jit.si/AINST-2020_GOTZIAS

Session 2

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

https://meet.jit.si/AINST-paper7

2) Petros Zimianitis and Konstantinos Karatzas – Analysis and modeling of low-cost air quality sensor data towards their computational improvement

https://authgr.zoom.us/j/95710184005

3) Nikolaos Sykiniotis, Athanasios Davvetas and Iraklis Angelos Klampanos – Evaluating Clustering Strategies for Fixed and Variable Length Weather Data Segmentations

https://meet.jit.si/AINST-2020_SYKINIOTIS

4) Stelios Karozis and Iraklis Klampanos – A Deep Learning approach for spatial and time error correction of Numerical Weather Prediction simulation data

https://meet.jit.si/AINST-2020_KAROZIS

5) Konstantinos Biziouras, Theodosios Kassandros and Konstantinos Karatzas – On-line environmental data analysis and modelling with Computational Intelligence method

https://authgr.zoom.us/j/95710184005

Session 3

1) Anastasios Markellos, Filippos Filias and Kostas Blekos – Quantum machine learning for image classification using kernel methods

http://meet.jit.si/AINST-paper20

2) Filippos Filias, Anastasios Markellos and Kostas Blekos – AI in quantum error correction: Generating self-correcting quantum circuits with genetic algorithms

http://meet.jit.si/AINST-paper12

3) Athina Bikaki, Vasileios Vlaseros and Iraklis Klampanos – Two AI-Inspired Methods for Estimating an SME’s Total Transactions Wallet

https://meet.jit.si/AINST-paper23

4) Kostas Blekos – Particle track reconstruction with a hybrid quantum machine learning algorithm.

http://meet.jit.si/AINST-paper27