SSIP 2020

Conference Date Location Publication Indexing
October 9-11, 2020 Virtual Conference ACM

ISBN: 978-1-4503-8828-3

EI Compendex 

Scopus



Prof. Lena Halounova

ISPRS Secretary General;

    Czech Technical University, Czech Republic


Role :
    Conference Local Chair

 



IEEE fellow, Prof. Schahram Dustdar,

TU Wien, Austria


Speech Title :
    Research Challenges in the IoT/Edge/Fog/Cloud Continuum

 


Prof. Sri Krishnan

Ryerson University, Toronto, Canada


Speech Title :
    Signal Analysis for Connected Healthcare

 

 

Prof. Domenico Talia

University of Calabria, Italy

   

Speech Title :
    Cloud Computing Frameworks and Services for Big Data Analysis

 

 

Prof. Ning Xiong

Mälardalen University, Sweden

   

Speech Title :
    Smart Case Mining via Membrane Clustering

 

 

We wish to express our heart-felt appreciation to the keynote and panel speakers. We record our thanks to our fellow members of the Technical Organising Committee for their work in securing a substantial input of papers from different areas all around the world.

 

 


Speakers :

 


IEEE fellow, Prof. Schahram Dustdar,

TU Wien, Austria 

 

Speech Title :
Research Challenges in the IoT/Edge/Fog/Cloud Continuum (Read more)

 

Short 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).

 


 

Prof. Sri Krishnan,

Ryerson University, Toronto, Canada

 

Speech Title :
Signal Analysis for Connected Healthcare  (Read more)

 

Short bio: Sri Krishnan joined Ryerson University, Toronto, Canada in 1999, and currently he is a Professor of Electrical and Computer Engineering, and a Co-director of the Institute for Biomedical Engineering, Science and Technology (iBEST). He is a Fellow of the Canadian Academy of Engineering. From 2007-2017 he was a Canada Research Chair in Biomedical Signal Analysis. Sri Krishnan has published 325 papers in refereed journals and conferences, and six of his papers have won best paper awards. Sri Krishnan is a recipient of many awards including the 2016 Outstanding Canadian Biomedical Engineer Award, 2013 Achievement in Innovation Award from Innovate Calgary, 2011 Sarwan Sahota Distinguished Scholar Award, 2007 Young Engineer Achievement Award from Engineers Canada.


 



Prof. Domenico Talia,

University of Calabria, Italy

 

Speech Title :
Cloud Computing Frameworks and Services for Big Data Analysis (Read more)

 

Short bio: Domenico Talia is a full professor of computer engineering at the University of Calabria, Italy. He is a co-founder of the DtoK Lab start-up and a partner of Exeura. His research interests include parallel and dis-tributed data mining algorithms, Cloud computing, distributed knowledge discovery, social data analysis, peer-to-peer systems, and parallel pro-gramming models. Talia has published 7 books and more than 300 papers in archival journals such as Communications of the ACM, IEEE Computer, IEEE TKDE, IEEE TSE, IEEE TSMC-A, IEEE TSMC-B, IEEE Micro, ACM Computing Surveys, FGCS, Parallel Computing, IEEE Internet Computing, and conference proceedings. He is a member of the editorial boards of IEEE Transactions on Computers, IEEE Transactions on Cloud Computing, the Future Generation Computer Systems journal, the International Journal of Web and Grid Services, the Journal of Cloud Computing-Advances, Systems and Applications, theScalable Computing Practice and Experience journal, the International Journal of Next-Generation Computing, Multiagent and Grid Systems: An International Journal, and the Web Intelligence and Agent Systems jour-nal. He was guest editor of special issues of IEEE Transactions on Software Engineering, Parallel Computing, and Future Generation Computer Systems, and served as a program chair or program committee member of several conferences. Talia is a member of the Association for Computing Machinery (ACM) and IEEE Computer Society and has been a reviewers for several research agencies and public administrations.

 


 

Prof. Ning Xiong,

Mälardalen University, Sweden

 

Speech Title :
Smart Case Mining via Membrane Clustering (Read more)

 

Short bio: Dr. Ning Xiong obtained the Master of Science from the Donghua University (Shanghai) in 1989, and the Ph.D. with outstanding distinction from the University of Kaiserslautern (Germany) in 2000. During the period between 2000 and 2004, he worked as guest researcher at the Swedish Defense Research Agency and senior lecturer at the Mid Sweden University, respectively.
Currently he is full professor and leader of the Machine Learning and Optimization Group at the Mälardalen University, Sweden. His research addresses various aspects of computational intelligence techniques, including machine learning and big data analytics, evolutionary computing, fuzzy systems, as well as multi-sensor data fusion, for building self-learning and adaptive systems in industrial and medical domains. He serves as editorial board members for three international journals, as well as guest editors for a few special issues in journals. He also has been program committee members for a number of conferences and invited referees for many leading journals. He published over 100 papers in international journals and conferences.