Dimitris Spiliotopoulos

Dimitris Spiliotopoulos has been a member of the Innovation Lab since 2010. His favourite projects are ARCOMEM, SUMAT and FASHION-ABLE. His interests include HCI, UX, NLP, speech processing, text analysis, spoken dialogue systems, universal accessibility, design-for-all, text-to-speech, document-to-audio, speech acoustics and evaluation.

Joseph Sifakis

Joseph Sifakis is a professor and the director of the “Rigorous System Design” Laboratory at EPFL. His research interests cover fundamental and applied aspects of embedded systems design. The main focus of his work is on the formalization of system design as a process leading from given requirements to trustworthy, optimized and correct-by-construction implementations. Joseph Sifakis is the founder of Verimag, a leading research laboratory in the area of critical embedded systems established in Grenoble, in 1993. He has received the Turing Award 2007 for his contribution to the theory and application of model-checking, currently the most widely-used verification method. Joseph Sifakis is a member of the French Academy of Sciences, a member of the French National Academy of Engineering and a member of Academia Europea. He is a Grand Officer of the French National Order of Merit and a Commander of the French Legion of Honour. Ηe has received the Leonardo da Vinci Medal in 2012.

Danilo Piaggesi

Danilo Piaggesi is an international development expert with 28-year experience in Latin America, Africa, Asia, Europe and United States working with Multi-lateral Development Banks (World Bank, Asian Development Bank, African Development Bank Inter-American Development Bank), European Union, United Nations, the private and the non-governmental sectors. He is curently Managing Director (2010 to present) in Fondazione Rosselli Americas (FRA), Washington D.C., USA. He also the founder of the Information and Communication Technology for Development International School (ICT4DEVIS -May 2011 to present). He is specialized in fostering, deploying and applying knowledge economy, green technology, education, innovation, and information & communication technology for development purposes (ICT4DEV). He has strong managerial skills. Self-starter; likes and encourages innovation, cross-cultures fertilization and adaptability. Capable of devising adequate solutions under stringent constraints. Graduate degree cum laude in Physics. Italian citizen; currently resides in Washington D.C., USA. Fluent in written and spoken English, French, Spanish and Portuguese; basic Arabic.

Tom Ziemke

Tom Ziemke is Professor of Cognitive Science and Chairman of the Informatics Research Centre at the University of Skövde, Sweden. He received his PhD from the University of Sheffield, UK. His main research interest is embodied cognition, i.e., the role of the body in cognitive processes, in emotional mechanisms, in social interactions, and in interactions with different types of technology. He has more than 100 peer-reviewed publications, is associate editor of the journals "Cognitive Computation" and "New Ideas in Psychology", and has edited two books on embodied cognition and social interaction. He is involved in a number of European research projects in the area of cognitive systems and robotics, including NeuralDynamics (www.neuraldynamics.eu) and RobotDoC (www.robotdoc.org). He is a member of the executive committee of the EUCog network (www.eucognition.org) and coordinator of a new FP7 integrated project called DREAM (www.dream2020.eu), starting in late 2013, which deals with the use of social robots in therapy for children with autism spectrum disorders.

Anthony Stefanidis

Dr. Anthony Stefanidis is a Professor with the Dept. of Geography & Geoinformation Science at George Mason University, and the director of Mason’s Center for Geospatial Intelligence. He holds a Dipl.Eng. from the National Technical Univ. of Athens, and M.S. and Ph.D. from The Ohio State University. Dr. Stefanidis’ areas of expertise include the analysis of social media content, digital image processing, spatiotemporal information modeling and analysis, and sensor networks. His current research activities are funded by IARPA, the National Geospatial-Information Agency (NGA), Draper Lab, and the Army Geospatial Center. His past research activities include projects funded by NSF, NGA, NASA, the USGS, and the European Union, with multimillion-dollar total budgets. In addition to his research activities he is teaching courses in image and video analysis, geospatial intelligence, spatial information systems, and spatial statistics.

Symeon Papadopoulos

Symeon Papadopoulos received the Diploma degree in Electrical and Computer Engineering in the Aristotle University of Thessaloniki (AUTH), Greece in 2004. In 2006, he received the Professional Doctorate in Engineering (P.D.Eng.) from the Technical University of Eindhoven, the Netherlands. Since September 2006, he has been working as a researcher in the Information Technologies Institute (ITI), part of the Centre for Research and Technology Hellas (CERTH), on a wide range of research areas such as information search and retrieval. In 2009, he completed a distance-learning MBA degree in the Blekinge Institute of Technology, Sweden. In 2012, he defended his PhD dissertation in the Informatics department of AUTH on the topic of large-scale knowledge discovery from social multimedia. His current research interests pertain to data mining and knowledge discovery from Social Web and Online Multimedia sources.

Michalis Vafopoulos

Michalis Vafopoulos (www.vafopoulos.org) is a researcher at the National Technical University of Athens. After undergraduate studies in Economics and Computer Science and postgraduate degrees in Economics and Web Science joined the Department of Cultural Informatics at the University of Aegean. In 2009 served as local chair of the 1st Web Science conference and co-founded the Master in Web science at the Mathematics Department of Aristotle University of Thessaloniki. In 2011 initiated the Public Spending project, which provides real-time information on public expenditure worldwide through visualization and Linked Open Data provision. His research interests include the applications of mathematical networks in economics and the Web, Web economics and business, Web philosophy and didactics, Linked and Open data.

Nikos Mavridis

Nikos Mavridis received a PhD degree from the Massachusetts Institute of Technology (MIT) in 2007, as well as an MSc from UCLA, and a M.Eng. from the Aristotle University of Thessaloniki. He is currently serving as an Ass. Professor at New York University (NYU) in its Abu Dhabi campus, and is also a Research Professor in NYU Poly and affiliated Researcher at NCSR Demokritos. He is the founder and director of the Interactive Robots and Media Laboratory (IRML), which has received worldwide media attention for the world’s first Arabic-Language Conversational Android Robot Ibn Sina, as well as the Microsoft award funding recipient FaceBots project – on human-interaction robots that utilize and publish social information on FaceBook. During HS studies at MIT, he developed the conversational robot Ripley, whose abilities of connecting language to sensory motor activities are comparable to those required for passing the “Token Test”, a psychological test for children. He is the co-author of more than 30 publications in scientific journals, books and conferences, with at least 250 known citations, has given numerous invited lectures worldwide, and HS robots have appeared in media of more than 30 countries.

Alexander Artikis

Alexander Artikis is a rsearch associate in the Institute of Informatics & Telecommunications at NCSR Demokritos, in Athens, Greece. He holds a PhD from Imperial College London on the topic of norm-governed multi-agent systems. His research interests lie in the areas of artificial intelligence and distributed systems. He has published papers in related journals and conferences, such as the Artificial Intelligence journal, the ACM Transactions on Autonomous and Adaptive Systems, the ACM Transactions on Computational Logic, the Journal of Logic and Computation and the European Conference on Artificial Intelligence (ECAI). He worked on the EU FP7 PRONTO project, being responsible for the event recognition work-package. He has given tutorials in several summer schools and conferences, including tutorials on logic-based event recognition in the 2011 edition of IJCAI and the 2010 edition of DEBS, and a tutorial on event processing under uncertainty in the 2012 edition of DEBS. He is a member of the programme committees of several international conferences such as IJCAI, DEBS, AAMAS, and AAAI. He has co-organised several international workshops, co-edited the Applied Artificial Intelligence special issue on event recognition, and chaired the Event Processing track in RuleML 2011. He is the posters and demos co-chair at DEBS 2013.

Evangelos Kanoulas

Evangelos Kanoulas is a Research Scientist in the group of text summarization and natural language understanding at Google Research, Zurich. His research interests lie in the fields of Information Retrieval and Natural Language Processing. His work at Google has focused on entity-centric summarization of user generated content on the Web around memorable events. This is part of the massive shift that Google has introduced to the search paradigm moving “from strings to things”. He is also involved in a European project on “Policy formulation and validation through non-moderated crowd-sourcing” (NOMAD FP7-288513). Dr. Kanoulas received his PhD degree from Northeastern University, Boston, and worked for two years as a Marie Curie fellow at the University of Sheffield. During the years of his fellowship he also held a visiting researcher position at Microsoft Research Cambridge, working with Bing research scientists, and at University College London. During his PhD, he focused on the filed of Information Retrieval and in particular on constructing efficient and reliable evaluation benchmarks (collections) and on developing effectiveness metrics for the evaluation of retrieval systems. He contributed writing an NSF grant proposal which has been funded with $488,723 (NSF IIS-1017903) and Marie Curie grant proposal which got awarded with 172,241 Euros (FP7-PEOPLE-2009-IFF- No 254562). He proposed and organized the Session Track at TREC, funded by the National Institute of Standards and Technologies, USA, he was one of the co-ordinators of the TREC Million Queries track and he has extensively published in top-tier conferences in information retrieval, such as SIGIR, CIKM and ECIR.

George Giannakopoulos

George Giannakopoulos is currently a Post-doctoral Research Fellow for the Software and Knowledge Engineering Lab at the Institute of Informatics and Telecommunications of NCSR Demokritos in Athens, Greece. He is also the co-founder and technical manager of SciFY NPC, which brings Artificial Intelligence applications and systems to the public as open systems (open source, open hardware), for free. His research interests mostly lie in machine learning, natural language processing (and especially summarization), data mining, bioinformatics and adaptive systems. He is the recipent of a best paper award (ADAPTIVE 2009) and serves as a programme committee member for several high-quality conferences and journals (e.g., EACL, ACL, NAACL, EMNLP, IJAIT). He is the organizer of the MultiLing workshop series on multilingual multi-document summarization. He is a member of the Hellenic Artificial Intelligence Society and the European Chapter of the ACL (EACL).

Dimitrios Zikos

Dimitrios Zikos is a visiting Professor at the Computer Science and Engineering Department, University of Texas at Arlington. He has graduated from the faculty of Nursing, University of Athens and was awarded a Ph.D. title in Health Informatics in 2009. He has yearly research and teaching experience in the area of Health Informatics, focusing on the health information systems, databases and data analysis in healthcare, syndromic surveillance, patient rehabilitation and assistive technologies. In the past, Dr. Zikos has been an associate researcher in many EU funded research programs about health-related information management and analysis, evidence based clinical procedures, enhancement of Patient Safety and quality of care though large scale human networks. Dr. Zikos has mentored undergraduate students at the Health Informatics Laboratory for four years. He has been reviewer in various international conferences and journals and member of the Greek Health Informatics Association (GHIA), the Hellenic Nurses Association and the Hellenic Regulatory Board of Nurses.

Katerina Pastra

Katerina Pastra is the director of the Cognitive Systems Research Institute (CSRI) and a senior researcher at the Institute for Language and Speech Processing, ATHENA R.C. She is the coordinator of the four-year FP7 Project POETICON++: “Robots need Language: A computational mechanism for generalisation and generation of new behaviours in robots”, and its pre-decessor, POETICON: “The Poetics of Everyday Life: Grounding resources and mechanisms for artificial agents”. She is the author of a number of papers in international journals and conferences, and the recipient of awards by International Organisations such as the John Latsis Foundation, Google Research and the British Computer Society. She developed the first ‘minimalist grammar of action’, a formal analysis of action in the sensorymotor domain, which is corroborated by biological findings; through this grammar, language is seen and processed from a new perspective, that of embodied cognition. With her research team, she is developing the first suite of embodied language processing tools. Katerina holds a PhD in Artificial Intelligence (University of Sheffield, U.K.), an MSc in Machine Translation (UMIST, UK) and a BA in Greek Literature and Linguistics (University of Athens, Greece). She has worked on information extraction and automatic text-based image and video indexing and retrieval applications and she has lectured on Human-Computer/Human-Robot Interaction and the use of cognitive and psychological methods in software engineering (University of Sheffield, U.K.).

Harris Papageorgiou

Haris Papageorgiou is a principal researcher at the Institute for Language and Speech Processing (ILSP/R.C. “Athena”) of the Research Center ATHENA and co-founder of Qualia, a business intelligence studio established in 2006. Haris is responsible for building advanced multimedia analytics for scalable data systems. He has held Chief Scientist positions in several european and national projects in the area of multilingual multimodal multimedia processing. Haris holds an MSc and PhD in Computer Science from NTUA and a BS in Electrical Engineering from NTUA. He has published more than 60 publications in international scientific books, journals and international conferences. He holds a patent in Machine Translation technology.

Nicola Bellotto

Nicola Bellotto is  a senior lecturer in computer science, in the University of Lincoln, UK, since 2009. He holds a PhD in Computer Science – Robotics, from the University of Essex, a Laurea (MSc) in Electronic Engineering – Control Systems, from University of Padua. Before, he has worked  as post-doctoral researcher in Active Vision Lab, Department of Engineering Science, of the University of Oxford, and as a research assistant in London Aquarium - RoboCity Ltd, in London. His research interests include mobile robotics, machine perception, sensor fusion, artificial intelligence. He is a member in IEEE Robotics and Automation Society, British Computer Society (BCS) and British Machine Vision Association (BMVA).


Cornelia Caragea

Cornelia Caragea is an Assistant Professor in the Computer Science and Engineering department at University of North Texas. Prior to joining UNT, she was a post-doctoral researcher in the College of Information Sciences and Technology at the Pennsylvania State University. She received her PhD from Iowa State University in 2009, and has been trained as a computer scientist with expertise in data mining, machine learning, recommender systems, and bioinformatics. Her research has been focused on the development and application of an abstraction-based probabilistic approach to learning accurate and compact predictive models from text and biological sequence data. Some of her recent work has focused on text applications in digital libraries as well as sentiment analysis in online health communities. Cornelia has published papers in prestigious international conferences and journals such as AAAI, IJCAI, WWW, COLING, ASONAM, JCDL, CIKM, ICDM, and BMC Bioinformatics. She has reviewed articles for many conferences and journals. She recently organized a workshop on Computational Scientometrics.