Dr Demetris F. Lekkas is Associate Professor in the Department of Environment (University of the Aegean, Greece). He is the Director of the Waste Management Laboratory and leader of the Analysis and Simulation of Environmental Systems research group. He holds a PhD in Hydrology from Imperial College London (UK). From 2002 to 2004 he worked as research assistant at Imperial College London on single-site continuous rainfall modelling – part of the DEFRA (UK) funded project “Improved Methods for National Spatial – Temporal Rainfall and Evaporation Modelling for BSM (Broad Scale Modelling)”. His research interests include Water resources analysis and simulation, catchment hydrology, analysis and evaluation of hydrological, model identification and evaluation, development of tools for water quantity and quality management, time series analysis and extreme values estimation, droughts and climate change impacts assessment, integrated waste management, composting, circular economy and eco-effectiveness. Dr Lekkas has participated in numerous EU and Greek projects and published more than 60 scientific papers. He is the Scientific Coordinator and President of the International Conference on Environmental Science and Technology (CEST), a two-year conference that has been organized since 1989 and is the largest in the field of Environment in Greece and executive director of the Global NEST Journal. Current research activity includes the coordination of the project “Geo-Ergon Paideia: Start Up Farm: Skills for future eco-farmers (funded under the Erasmus+ programme), the coordination of projects associated with Municipal Solid Waste Management in Greece (funded by Greek municipalities) and the participation in the Research Infrastructure «ENIRISST: Intelligent Research Infrastructure for Shipping, Supply chain, Transport and Logistics” (funded by Greek General Secretariat for Research and Technology). Recently he was appointed as a vice-president of the Board of Research and Innovation of the North Aegean Region.

Konstantinos Mammas, Advanced Analytics & Artificial Intelligence Consultant - Accenture The Dock (Ireland)

Kostas Mammas is a Data Scientist in Accenture (Ireland) - the Dock unit. He holds a MSc degree in Statistics and Actuarial-Financial Mathematics from the University of the Aegean and a Specialization title in Big Data Analytics from Athens University of Economics and Business. He has experience in the areas of Big Data, Marketing, Banking and Healthcare analytics and the last 5 years worked extensively as an RnD scientific programmer in solving real-world problems using Big Data technologies.

Victor Antonino -Accenture (Ireland)

Victor Antonino received the B.E. degree in computer engineering from the Federal University of Pernambuco, Recife, Brazil, and the M.Sc. degree in computational intelligence from the Federal University of Pernambuco (UFPE), Recife, Brazil, in 2014 and 2016, respectively. He has experience in machine learning, pattern recognition, and image processing. 

He was involved in several research projects and has authored his works in scientific journals and conferences mostly related with the study and applications of artificial neural networks. He is currently involved in innovation projects formed by Accenture, Dublin, using machine learning, computer vision, virtual reality, augmented reality and data mining. His current research interests include deep learning and bionics.

Yiannis Gkoufas works as a Research Software Engineer in IBM Research and Development in Dublin since December 2012. He received his Bachelor’s and Master’s degrees in Athens University of Economics and Business. He has been working mainly with Java-based technologies on the backend. In the past few years, he has been exploring Hadoop-related frameworks for large batch data processing. He has been engaging actively with the Big Data ecosystem with talks in prominent Summits and open-sourcing assets mainly around Spark and HBase.

Arun Srinivasan is originally from Tamilnadu, India. He holds a Bachelor’s degree in Electronics Engineering and a Master’s degree in Bioinformatics. He started using R in 2010 and has contributed to R's data.table package since late 2013. He currently lives in London, where he works as a developer and analyst in Finance. He has a passion for developing tools and algorithms facilitating analyses on large data.

Georgios Kaiafas is a Ph.D student in Cybersecurity studies interested in addressing real-world problems using Machine Learning methodologies. He is studying at the University of Luxembourg and he is a member of the SEDAN (SErvices and Data mANagement) research group which addresses impact-oriented research activities in the areas of security. His Ph.D program is industry based hence I collaborate closely with the POST Luxembourg working as a part-time Cybersecurity Data Scientist. In addition, he has received 4 years grant by the Luxembourg National Research Fund.

Prior to attending the University of Luxembourg, he has worked as a Data Scientist for 3 years in the areas of Electricity Behavior Analytics, Marketing  Analytics and Big Data.