Keynote Speeches

Keynote 1

Re-configuring data practices for Intelligent, Reliable and Responsible decision-making systems



Prof. Timos Sellis

Visiting Research Scientist, Meta Platforms, Inc. (formerly known as Facebook)

Adjunct Professor, School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Australia



In this talk we will focus on how data management practices need to be re-configured in order to support Intelligent, Reliable and Responsible decision-making systems. To maximise the benefits of AI while at the same time mitigating or even preventing its risks, the international community recently began promoting the concept of Trustworthy AI (TAI) as a foundation behind such systems. TAI is based on the idea that trust builds the foundation of societies, communities, economies, and sustainable development, and that therefore individuals and societies will only ever be able to harness the full potential of AI, if trust can be established in the development, deployment, and use of this technology.

TAI is characterized by being lawful, ethical, as well as socially and technically robust. In order to achieve this, the realisation of TAI demands the fulfilment of the seven core requirements by technical and non-technical means: (#1) support of human agency and oversight, (#2) be technically robust and safe, (#3) provide privacy and data governance, (#4) be transparent, (#5) support diversity, non-discrimination and fairness, as well as (#6) societal and environmental wellbeing, and (#7) provide accountability [1].  Adjusting data management practices to achieve the above is an interesting challenge.



Timos Sellis is a Research Scientist at Meta Platforms, Inc. (formerly known as Facebook, USA) and an Adjunct Professor at Swinburne University of Technology (Australia), where between 2016 and 2020 he was a Professor and the Director of the Data Science Research Institute. He got his Diploma degree in Electrical Engineering in 1982 from the National Technical University of Athens (NTUA), Greece. In 1983 he got the M.Sc. degree from Harvard University (USA) and in 1986 the Ph.D. degree from the University of California at Berkeley (USA), both in Computer Science. He has been in the past a faculty member at the University of Maryland (USA, 1986-92), the National Technical University of Athens (Greece, 1992-2013), and RMIT University (Australia, 2013-2016). Prof. Sellis was also the Director of a new research institute he founded in Greece, the Institute for the Management of Information Systems (IMIS) of the "Athena" Research Center (www.imis.athena-innovation.gr) between 2007 and 2013.

His research interests include big data, data streams, graph data management, data integration, and spatio-temporal database systems. He has published over 300 articles in refereed journals and international conferences in the above areas, has over 17,600 citations to his work and has participated and coordinated several national and international research projects.

Prof. Sellis is a recipient of the prestigious Presidential Young Investigator (PYI) award given by the President of USA to the most talented new researchers (1990), and of the VLDB 1997 10 Year Paper Award in 1997 (awarded to the paper published in the proceedings of the VLDB 1987 conference that had the biggest impact in the field of database systems in the decade 1987-97).   He was the president of the National Council for Research and Technology of Greece (2001-2003). In November 2009, he was awarded the status of IEEE Fellow, for his contributions to database query optimization, and spatial data management, and in November 2013 the status of ACM Fellow, for his contributions to database query optimization, spatial data management, and data warehousing. In March 2018 he received the IEEE TCDE Impact Award, for contributions to database systems research and broadening the reach of data engineering research.


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