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Intelligent Systems Laboratory   Technical University of Crete 
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Lab Description

The Intelligent Systems Laboratory (InteLLigence) is a unit of the School of Electronic and Computer Engineering, Technical University of Crete, Chania, Crete, Greece.

The role of this laboratory is to educate undergraduate and graduate students in the concepts and techniques of modern Intelligent Systems and to carry out cutting-edge research in this area. Current research work spans many areas, such as Multimedia and Web information systems, Semantic Web, Machine Learning, Robotics, Bioinformatics, Computer vision, Peer-to-Peer computing and Intelligent Agents.

The laboratory is funded by the Technical University of Crete and various Greek and European funding institutions.

 

The Intelligent Systems Laboratory (InteLLigence) maintains long experience on information systems technology with emphasis on the management (processing, extraction, dissemination and retrieval) of multimedia information in (multimedia) databases and the Web. As such, information is not considered only from a standalone perspective; its strength lies in its potential association with other modern technologies, such as Web, Semantic Web, Content-based approaches, P2P systems and Cloud Computing. Emphasis is placed on content technologies and evolving context-aware service provision that enable information systems to fulfil the ever-evolving user interests and needs in fast-evolving and distributed environments. The InteLLigence laboratory also maintains expertise on content extraction from multimedia information through the application of natural language processing, text analysis, signal, image and video analysis and their application to content-based access services. Recent research results have led to the design of innovative tools exploiting leading-edge technology in knowledge management (e.g., tools facilitating development of spatio-temporal ontologies, spatio-temporal reasoning and querying).

In addition, the Lab possesses considerable expertise in Artificial Intelligence and Multiagent Systems – and, more specifically, in the intersections of multiagent learning, decision making under uncertainty, and game theory. Lab members have published research papers and developed software systems applying this expertise on various real-world settings, such as online games (e.g., the “Fantasy Football” online community), e-marketplaces and sponsored search settings (see, e.g., our TUCTAC Ad Auctions agent's webpage), and the energy domain. In particular, lab members have in recent years been quite active in research contributing to implementing the vision of the so-called “Smart Grid” – that is, creating robust, intelligent electricity supply & distribution networks, to achieve the highest energy efficiency possible.

Machine Learning research in the lab spans various aspects, such as clustering and classification, however emphasis is placed on reinforcement learning, whereby an autonomous agent learns how to act rationally in an unknown environment through trial and error. Finally, the lab focuses on Autonomous Robotics with an emphasis on probabilistic methods for coping with the uncertainty of the real world and on the development of efficient algorithms and software for on-board information processing. Our lab is home to the RoboCup team “Kouretes” (www.kouretes.gr), which competes in the RoboCup Standard Platform League since 2006 and has won several international distinctions.

InteLLigence is constantly aiming at strengthening its expertise and, and through this, its recognition in the EU arena as a centre of excellence for research. This can be achieved through its collaboration with the EU industry and academia and as well as through its participation in high-calibre EU funded research. InteLLigence, currently participates as partner in the project “RT3S: Real Time Simulation for Safer vascular Stenting” (ICT for patient safety, FP7-STEP, project number 248801, www.rt3s.eu), in the project Fi-Star: “Future Internet Social and Technological Alignment Research” (FI.ICT-2011.1.8, FP7-IP:604691, 2013-2015, www.fi-star.eu) of the EU, and in the project NOPTILUS: autoNomous, self-Learning, OPTImal, and compLete Underwater Systems (FP7, INFSO-ICT:270180, 2011-2015, www.noptilus-fp7.eu). InteLLigence has also participated in many research and R&D projects in the past, such as HIPER-BE97:5084, OPTAG-FP6-STREP:502858, BIOPATTERN (FP6-NoE:508803), in many R&D projects funded by the EU and he Greek government and has coordinated and executed successfully project TOWL: “Time-determined ontology based information system for real time stock market analysis” (FP6-STREP:026896, 2006 - 2008).

The group at InteLLigence laboratory consists of three faculty members, four post-doctoral researchers, six Ph.D. candidates, more than 15 M.Sc. students and several senior undergraduate students pursuing their diploma theses. The group members have published one graduate-level scientific textbook, and hundreds of articles in peer-reviewed, high-quality, international journals and conferences. Several articles have received best paper awards.

 


RECENT NEWS
2016-02-06    1st SETN Workshop on AI for the Smart Grid (AI4SG)
Associate Professor Georgios Chalkiadakis is a co-organizer of the 1st SETN Workshop on AI for the Smart Grid (AI4SG) (@SETN conference, Thessaloniki, Greece, May 2016).
2016-02-06    2nd IJCAI Workshop on Algorithmic Game Theory
Associate Professor Georgios Chalkiadakis is a co-organizer of the 2nd IJCAI Workshop on Algorithmic Game Theory (@IJCAI conference, New York, USA, July 2016).
2015-04-17    Nomination and candidacy for the Best Student Paper Award at AAMAS-2015!
The paper "Factored MDPs for Optimal Prosumer Decision-Making", co-authored by Angelos Angelidakis and Georgios Chalkiadakis, is one of the three runners-up for the Pragnesh Jay Modi Best Student Paper Award at the AAMAS conference this year!
2015-03-13    SILVER label from the FIWARE Lab Recognition & Reward Programme


Our Lab participates with the 'Crete Node' (openstack cloud infrastructure) in the FIWARE Lab Infrastructure Federation, a sustainable pan-European open federation of test infrastructures, realized by the XIFI project. The FIWARE Lab infrastructure federation comprises 19 nodes and as such it can cope with large trial deployments and can serve the various needs of a broad set of Future Internet users and experimenters. Recently, 'Crete Node' has participated in the FIWARE Lab Recognition & Reward Programme, based on 3 levels of engagement accreditation (Bronze, Silver, and Gold) and has received the Silver label complying with the Silver quality validation criteria of its infrastructure.
2015-02-07    AGT@IJCAI-2015: The first IJCAI Workshop on Algorithmic Game Theory
Assistant Professor Georgios Chalkiadakis is a co-organizer of the 1st IJCAI Workshop on Algorithmic Game Theory (@IJCAI conference, Buenos Aires, Argentina, July 2015 ).
2015-02-07    The 6th Workshop on Cooperative Games in Multiagent Systems (CoopMAS-2015)
Assistant Professor Georgios Chalkiadakis is a co-organizer of the 6th Workshop on Cooperative Games in Multiagent Systems (@AAMAS conference, Istanbul, Turkey, May 2015).
 
UPCOMING EVENTS
Jul-2016    AGT@IJCAI-2016: The 2nd IJCAI Workshop on Algorithmic Game Theory
New York, USA

Over the past fifteen years, research in theoretical computer science (TCS), artificial intelligence (AI), and microeconomics has joined forces to tackle problems involving incentives and computation. This research field, commonly named Algorithmic Game Theory (AGT), is becoming increasingly more relevant due to the prominence of the Internet as the computing platform. The Internet pairs the concepts of market and computation, thus paving the way to cross fertilization. AI, in particular, plays a double role in this new connected world. On one hand, we have intelligent algorithms working on our behalf, buying and selling physical and virtual goods at tantalizing speed, sharing sensitive and/or private user information, and in general trying to react rationally to complex incentives. On the other hand, algorithms form the infrastructure of the net, mediating the interaction of both humans and machines, and operating as mechanisms that impose incentives. Due to the invasive presence of incentives and the importance of rationality in decision making, the research in AGT is rooted in and has applications for a number of different academic disciplines. This is witnessed by the ever growing list of contributions published in classical TCS/AI venues as well as the creation of dedicated academic conferences and journals. With this workshop, we intend to bring together the rich variety of scientists that IJCAI attracts in order to have a multidisciplinary forum within which discuss and analyze current and novel challenges that the research in AGT faces. The workshop fits particularly well with the recent IJCAI Computer and Thought Awards; indeed, in the last 20 years, 6 out of the 12 winners had worked on topics in the intersection of AI and economics/AGT: specifically, Sarit Kraus (1995), Nicholas Jennings (1999), Tuomas Sandholm (2003), Peter Stone (2007), Carlos Guestrin (2009) and Vincent Conitzer (2011).
May-2016    The 1st SETN WORKSHOP ON AI FOR THE SMART GRID (AI4SG)
Thessaloniki, Greece

The transition to a new generation of electricity networks, the so-called Smart Grid, that will be able to make efficient use of renewable energy sources, support real time and efficient demand response, as well as the large scale deployment of electric vehicles (EVs) are vital should the climate change is to be controlled. However, in order for such a transition to be successful, a number of problems must be solved. Artificial intelligence (AI) and multi-agent systems (MAS) techniques and methodologies can be instrumental in addressing sustainability problems and questions, for example to increase the efficiency and effectiveness of the way we manage and allocate our natural and societal resources. This will also enrich and transform AI, by providing new challenges. Moreover, the IEEE Intelligent System Applications subcommittee has recently recognized the usefulness of Artificial Intelligence (AI) approaches in solving key power system challenges. As such, an increasing number of publications in leading AI and MAS conferences and journals address Smart Grid-related problems, and a number of relevant workshops have already appeared in leading AI and MAS conferences (e.g. the AAAI-15 Workshop on Computational Sustainability, the AAAI-16 Workshop on AI for Smart Grids and Smart Buildings, and others). Against this background, the aim of this workshop is to bring together researchers from the AI, power systems and transportation communities, and function as a place for recent advancements in this field to be presented and discussed. This workshop will be dedicated to papers concerned with innovative notions, models, algorithms, techniques, methodologies, and systems, in order to address problems in the field of AI and the Smart Grids. AI4SG will be held in conjunction with the 9th Hellenic Conference on Artificial Intelligence (SETN-16).
 
 

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