Javid Taheri is a Full Professor at the Department of Computer Science, Karlstad University, Sweden. He received his PhD in Mobile Computing from University of Sydney (Australia) in 2007, and his Bachelor and Masters of Electrical Engineering from Sharif University of Technology, Tehran (Iran) in 1998 and 2000, respectively. 

He is the recipient of many awards including being selected as one of the top 200 young researchers in the world by the Heidelberg Forum in 2013, the recipient of several best paper awards since 2007, and the recipient of the prestigious IEEE Middle Career Researcher award from TSCS in Scalable Computing in 2019. He holds several cloud/networking related industrial certification from VMware, Cisco, Microsoft and IBM. His research interests includes Cloud Computing, Edge/Fog Computing, Network Function Virtualization, Software-defined Networking, and AI-based optimization techniques. 

He is the editor of two books entitled ‘‘Big Data and Software Defined Networks’’, and ‘‘Edge Computing: Models, Technologies and Applications’’. He co-authored >200 scientific articles and papers, has been serving as an editor for >15 journals, as well as a member of organizing team for >40 international conferences.

Schahram Dustdar is a 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 Commerce (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). 

Albert Y. Zomaya is the Chair Professor of High Performance Computing & Networking in the School of Computer Science and Director of the Centre for Distributed and High Performance Computing at the University of Sydney. To date, he has published > 600 scientific papers and articles and is (co-)author/editor of >30 books. A sought-after speaker, he has delivered >190 keynote addresses, invited seminars, and media briefings. His research interests span several areas in parallel and distributed computing and complex systems. He is currently the Editor in Chief of the ACM Computing Surveys and served in the past as Editor in Chief of the IEEE Transactions on Computers (2010-2014) and the IEEE Transactions on Sustainable Computing (2016-2020).

He is a decorated scholar with numerous accolades including Fellowship of the IEEE, the American Association for the Advancement of Science, and the Institution of Engineering and Technology (UK). Also, he is an Elected Fellow of the Royal Society of New South Wales and an Elected Foreign Member of Academia Europaea. 

He is the recipient of the1997 Edgeworth David Medal from the Royal Society of New South Wales for outstanding contributions to Australian Science, the IEEE Technical Committee on Parallel Processing Outstanding Service Award (2011), IEEE Technical Committee on Scalable Computing Medal for Excellence in Scalable Computing (2011), IEEE Computer Society Technical Achievement Award (2014), ACM MSWIM Reginald A. Fessenden Award (2017), and the New South Wales Premier’s Prize of Excellence in Engineering and Information and Communications Technology (2019).

Shuiguang Deng is a full professor at the College of Computer Science and Technology in Zhejiang University, where he received the BS and PhD both in Computer Science in 2002 and 2007, respectively. He worked at Massachusetts Institute of Technology (MIT)  in 2014 and at Stanford University in 2015 as a visiting scholar. He is a Fellow of IET, IEEE Senior Member, Senior Member of the China Computer Federation (CCF), CCF Service Computing Technical Standing Committee  Member and CCF Software Technical Committee Member. 

His research interests include Service Computing, Edge Computing, Business Process Management and Big Data. He serves for the journal Knowledge and Information Systems, Computing and IET Cyber-Physical Systems: Theory & Applications as an Associate Editor. Up to now, he has published more than 100 papers in journals such as IEEE TOC, TPDS, TSC, TCYB and TNNLS, and refereed conferences including WWW, CHI, ER, ICWS, ICSOC, et al. He got the ICSOC 2017 Best Paper Award, the WWW2017 Best Post Nominee Award, and the IEEE NetSoft 2020/IEEE ICWS 2019/CollaborateCOM 2019/SCC 2012 Best Student Paper Award. He  also has published two Chinese monographs and three English monograph published by IET, Elsevier and Springer, respectively.

He has won the second National Science and Technology Advancement Award in 2010 and the first Provincial and Ministerial Scientific and Technological Progress Awards in 2008, 2009, and 2014. He was granted the IEEE TCSVC Rising Star Award in 2018 and CCF TCSC Outstanding Achievement Award in 2020.