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Markus Helfert
Innovation Value institute, Maynooth University
Ireland
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Brief Bio
Markus Helfert is a Professor at Maynooth University, Innovation Value Institute (Ireland) and the Director of the Business Informatics Group at Maynooth University. He is a Principle Investigator at Lero – The Irish Software Research Centre and at the Adapt Research Centre. His research is centred on Digital Service Innovation, Smart Cities and IoT based Smart Environments and includes research areas such as Service Innovation, Intelligent Transportation Systems, Smart Services, Building Information Management, FinTech, Data Value, Enterprise Architecture, Technology Adoption, Analytics, Business Process Managem
ent. Prof. Helfert is an expert in Data Governance Standards and is involved in European Standardisation initiatives. He advises small and medium sized Enterprise in relation to Innovation and IT Management. Helfert has received national and international grants from agencies such as European Union (FP7; H2020), Science Foundation Ireland and Enterprise Ireland, was project coordinator on EU projects, and is the Project coordinator of the H2020 Projects: PERFORM on Digital Retail.
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Andreas Holzinger
Human-Centered AI Lab, Institute for Medical Informatics and Statistics, Medical University Graz
Austria
https://www.aholzinger.at/
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Brief Bio
Andreas Holzinger is lead of the Holzinger Group (Human-Centered AI) at the Medical University Graz and Visiting Professor for explainable AI at the Alberta Machine Intelligence Institute in Edmonton, Canada. Since 2016 he is Visiting Professor for Machine learning in health informatics at Vienna University of Technology. Andreas was Visiting Professor for Machine Learning and Knowledge Extraction in Verona, RWTH Aachen, University College London and Middlesex University London. He serves as consultant for the Canadian, US, UK, Swiss, French, Italian and Dutch governments, for the German Excellence Initiative, an
d as national expert in the European Commission. Andreas obtained a Ph.D. in Cognitive Science from Graz University in 1998 and a second Ph.D. (Habilitation) in Computer Science from TU Graz in 2003. Andreas Holzinger works on Human-Centered AI (HCAI), motivated by efforts to improve human health. Andreas pioneered in interactive machine learning with the human-in-the-loop. For his achievements, he was elected as a member of Academia Europea in 2019. Andreas is paving the way towards multimodal causability, promoting robust interpretable machine learning, and advocating for a synergistic approach to put the human-in-control of AI and align AI with human values, privacy, security, and safety.
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Chiara Francalanci
Electronics And Information, Politecnico di Milano
Italy
http://home.deib.polimi.it/francala
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Brief Bio
Chiara Francalanci is professor of information systems at Politecnico di Milano. She has a Master's Degree in Electronic Engineering and a Doctorate in Information Engineering both from Politecnico di Milano. As part of her post doctoral studies, she worked for two years at the Harvard Business School as a Visiting Researcher where she graduated in Management of the Information Systems Resource. She has over 15 years of experience in applied research and consulting. She has published on top international outlets on IT management and cost-oriented IT design, has led several national and international research proj
ects, and has broad consulting experience.
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Orlando Belo
Department of Informatics, University of Minho
Portugal
http://www3.di.uminho.pt/~omb
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Brief Bio
Orlando Belo is an associate professor with habilitation in the Department of Informatics at Minho University, Portugal. He is also a member of the Algoritmi R&D Centre in the same university, working in areas like Data Warehousing Systems, OLAP, and Data Mining. His main research topics are related with data warehouse design, implementation and tuning, ETL services, and distributed multidimensional structures processing. During the last few years he was involved with several projects in the decision support systems area designing and implementing computational platforms for specific applications like fraud detec
tion and control in telecommunication systems, data quality evaluation, and ETL systems for industrial data warehousing systems. More recently, he was developing some research work establishing OLAP usage profiles and optimizing OLAP selection methods incorporating knowledge acquired over OLAP user sessions and users’ preferences.
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