The following workshops will be part of SETN 2020:

You may also want to check the Special Event page for our Artificial Intelligence, Ethics and Law event.


Games and AI: Technological, Cultural and Societal aspects

Organisers:

Abstract:

The aim of this workshop is to activate and empower the – already emerging – community of game designers, developers, researchers and players by highlighting the role of AI in this
gigantic and important ecosystem. The workshop also reflects the interaction of these disciplines as an integral part of the culture and society, identifying challenges and opportunities
in the intersection between all these domains of knowledge. As such, the workshop is expected to be an interdisciplinary meeting place of research and innovation related to games and AI.

Workshop Home: https://games-and-ai.scify.org/

Program: Day 1 – September 2nd, 18:15 — 21:00

18.15 — 19.00
Invited talk:
Prof. G. N. Yannakakis – A.I. and Games: The Co-Revolution
10 min break
19.00 — 19.40
Part 1:
E. Panagiotou, E. Charou – Procedural 3D Terrain Generation using Generative Adversarial Networks
A. Tsionas, A. Lazaridis, I. Vlahavas – Serious Game Development for the Diagnosis of Major Depressive Disorder Cases Using Machine Learning Methods
19.40 — 20.00
Short invited talk:
Paul Isaris: An outlook of smart and healthy ageing in the presence of serious games and AI
20.00 — 21.00
Part 2:
G. Sidiropoulos, C. Kiourt, L. Moussiades – Metis: Multi-Agent Based Crisis Simulation System
A. Kosmopoulos, A. Liapis, G. Giannakopoulos and N. Pittaras – Summarizing Game Reviews: First Contact
M. Kyrarini, A. Lueckenhoff, C. Wessels, F. Makedon – Towards Game-based Assessment of Executive Functions in Children
C. Tsalidis, M. Fountana, M. Gavrielidou, J. Stamatopoulos, A. Vagelatos – Implementing language games with NLP tools
Closing

AI for Fashion

Organisers:

  • Evridiki Papachristou, Assistant Professor, International Hellenic University
  • Nikolaos Bilalis, Professor, Technical University of Crete

Abstract:

Even though AI has been around for several years now, the technologies that are currently being applied to fashion are still in their early days. The goal of this workshop is to gather people from academia, industry, and startups working at the intersection of fashion and data mining and knowledge discovery, to investigate incorporation of AI technology in the fashion domain. This 1st installment of the workshop can become, in the future, the premier venue for presenting works that are solving problems related to fashion using artificial intelligence, machine learning and data mining.

Workshop Home: http://cdc.ihu.gr/ai4fashion/

Program: Day 1 – September 2nd, 16:15 — 18:00

WS Keynote Talk 1: Mark Harrop (CEO & Founder, WhichPLM & The Interline) – AI in fashion isn’t new!
WS Keynote Talk 2: Leslie Holden (Co-Founder The Digital Fashion Group) – Future-proofing the Fashion Curriculum
WS Keynote Talk 3: Dr. Fatma Baytar & Evrim Buyukaslan Oosterom, Cornell University – Artificial Intelligence for Garment Fit Prediction
5 min Short Break
T. R. Tzikas, A. C. Kyprianidis​, M. Th. Kotouza, S. F. Tsarouchis​, A. Chrysopoulos, P. Mitkas – Towards Fashion Image Annotation: A clothing category recognition procedure
E. Kampakaki, E. Papachristou – Digital Intelligence as prerequisite of Artificial Intelligence’s integration in the Clothing Industry 4.0

AI in Natural Sciences and Technology

Organisers:

  • George Giannakopoulos, NCSR “Demokritos” and SciFY PNPC, Greece
  • Vassilios Constantoudis, Institute of Nanoscience and Nanotechnology, NCSR “Demokritos”, Greece
  • Niki Vergadou, Institute of Nanoscience and Nanotechnology, NCSR “Demokritos”, Greece
  • Panagiotis Dimitrakis, Institute of Nanoscience and Nanotechnology, NCSR “Demokritos”, Greece
  • Stelios Karozis, NCSR “Demokritos”, Greece

Abstract:

The intention of this interdisciplinary workshop on AI and natural sciences and technology is to bring together practitioners from both AI and a wide range of scientific and engineering disciplines to cross-fertilize research, algorithms, tools, and novel application areas. To this end, the workshop aims at activating and empowering the – already emerging – community of natural scientists and engineers on the key role of implementing AI to a plethora of cutting-edge scientific domains and industrial processes, as well as AI researchers that understand the idiosyncrasies and challenges of applying AI methods in the area of natural sciences and engineering.

Workshop Home: https://ainst.scify.org/

Program: Day 3 – September 4th, 17:00 — 22:00

Session 1: AI in meterials 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
Andreea Mihailescu – Designing Predictive and Recommender Systems in Support of Laser-Plasma Interaction Experimental Investigations. An AI Redefinition of Scientific Simulation Codes.
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
Andrew Vekinis, Eleni Charou and Stavros Perantonis – Road network damage assessment after a natural disaster
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
Konstantinos Biziouras, Theodosios Kassandros and Konstantinos Karatzas – On-line environmental data analysis and modelling with Computational Intelligence methods
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

Artificial Intelligence of Things at the core of Secure, Connected and/or Dependable CPS

Organisers:

  • Dr. Aris Lalos, Principal Researcher, Industrial Systems Institute, ATHENA R.C.
  • Dr. Dimitrios Kalles, Associate Professor, Hellenic Open University
  • Dr. Athanasios Kalogeras, Research Director, Industrial Systems Institute, ATHENA R.C.

Abstract:

The application of Artificial Intelligence in IoT and CPS created a new generation of smart devices, more efficient, with augmented capabilities in areas like task optimization, automation and dependability, able to adjust to unknown inputs. These advances have revolutionized a large number of industry sectors such as agri-food, transportation, smart cities, manufacturing and healthcare. The aim of this workshop is to bring together researchers, engineers and practitioners from different fields in industry and academia interested in key areas of Artificial Intelligence of Things in Cyber-Physical Systems. The workshop will provide a platform to share and exchange ideas, research results and experiences in the fields of AIoT and CPS.

Workshop Home: https://sites.google.com/g.upatras.gr/aitcps2020/home

Program: Day 1 – September 2nd, 15:15 — 16:00

Invited Talk: A. S. Lalos – Cross-layer cognitive optimization tools and methods for the lifecycle support of dependable CPSoS
K. Blekos, A. Tsakas, I. Evdokidis, D. Alexandropoulos, C. Alexakos, A. S. Lalos, C. Xouris, S. Katakis, A. Makedonas, C. Theocharatos, – Analysis, modeling and multi-spectral sensing for the predictive management of Verticillium wilt in olive groves
S. Evangelou, C. Akasiadis – Security Assessment in IoT Ecosystems