Edge Intelligence - The Co-evolution of Humans, IoT, and AI

Brief Bio
Schahram Dustdar is Full Professor of Computer Science heading the Research Division of Distributed Systems at the TU Wien, Austria. He holds several honorary positions: University of California (USC) Los Angeles; Monash University in Melbourne, Shanghai University, Macquarie University in Sydney, and University of Groningen (RuG), The Netherlands (2004-2010). From Dec 2016 until Jan 2017 he was a Visiting Professor at the University of Sevilla, Spain and from January until June 2017 he was a Visiting Professor at UC Berkeley, USA. From 1999 - 2007 he worked as the co-founder and chief scientist of Caramba Labs Software AG in Vienna (acquired by Engineering NetWorld AG), a venture capital co-funded software company focused on software for collaborative processes in teams. Caramba Labs was nominated for several (international and national) awards: World Technology Award in the category of Software (2001); Top-Startup companies in Austria (Cap Gemini Ernst & Young) (2002); MERCUR Innovation award of the Austrian Chamber of Commerece (2002). He is founding co-Editor-in-Chief of the new ACM Transactions on Internet of Things (ACM TIoT) as well as Editor-in-Chief of Computing (Springer). He is an Associate Editor of IEEE Transactions on Services Computing, IEEE Transactions on Cloud Computing, ACM Transactions on the Web, and ACM Transactions on Internet Technology, as well as on the editorial board of IEEE Internet Computing and IEEE Computer. Dustdar is recipient of the ACM Distinguished Scientist award (2009), the IBM Faculty Award (2012), an elected member of the Academia Europaea: The Academy of Europe, where he is chairman of the Informatics Section, as well as an IEEE Fellow (2016).

 

 

New Horizons in IoT Workflows Provisioning in Edge and Cloud Datacentres for Fast Data Analytics: The Osmotic Computing Approach

Brief Bio
Professor Rajiv Ranjan is an Australian-British computer scientist, of Indian origin, known for his research in Distributed Systems (Cloud Computing, Big Data, and the Internet of Things). He is University Chair Professor for the Internet of Things research in the School of Computing of Newcastle University, United Kingdom. He is an internationally established scientist in the area of Distributed Systems (having published about 300 scientific papers). He has secured more than $12 Million AUD (£6 Million+ GBP) in the form of competitive research grants from both public and private agencies. He is an innovator with strong and sustained academic and industrial impact and a globally recognized R&D leader with the proven track record. He serves on the editorial boards of top quality international journals including IEEE Transactions on Computers (2014-2016), IEEE Transactions on Cloud Computing, ACM Transactions on the Internet of Things, The Computer (Oxford University), The Computing (Springer) and Future Generation Computer Systems. He led the Blue Skies section (department, 2014-2019) of IEEE Cloud Computing, where his principal role was to identify and write about most important, cutting-edge research issues at the intersection of multiple, inter-dependent research disciplines within distributed systems research area including Internet of Things, Big Data Analytics, Cloud Computing, and Edge Computing. He is one of the highly cited authors in computer science and software engineering worldwide (h-index=49, g-index=130, and 14000+ google scholar citations; h-index=36 and 7600+ scopus citations; and h-index=30 and 4900+ Web of Science citations).

 

 

Reference Architectures for Cloud-based Platforms: Convergence vs. Diversification

Brief Bio
Robert Lovas (PhD habil.) is the Vice Director of the Institute for Computer Science and Control (SZTAKI), and Director of the Institute for Cyber-Physical Systems, John von Neumann Faculty of Informatics, Óbuda University. He received his MSc degree in Electrical Engineering and PhD degree in Informatics from the Budapest University of Technology and Economics, and habilitated at the Óbuda University. His solid experience in wide range of research and development fields of computational chemistry, numerical meteorological modeling, bioinformatics, precision agriculture, connected Cars, and Industry 4.0 has been gained in various global, European and national ICT collaborations with academic organizations, universities, and enterprises. He coordinated two e-infrastructure projects in the EU 7th Framework Programme to build computing services for research communities. In the Agrodat.hu project he led the Big Data research platform activities, and he currently acts as a workpackage leader in the H2020 CloudiFacturing and NEANIAS projects addressing innovative cloud and AI services. More than 80 scientific papers and book chapters on software engineering for Grid, Cloud, Big Data, IoT and AI platforms, particularly from workflow-oriented design, orchestration, debugging, and application aspects, are included in his publication records.