Prof. Hao Zhang, Michigan State University, USA
Fellow of American Statistical Association, Elected
Member of the International Statistical Institute
Biography: Hao Zhang is Professor and Chair at the Department of Statistics and Probability at Michigan State University. He is Fellow of American Statistical Association and an Elected Member of the International Statistical Institute. He has served editorial boards of Journal of the American Statistical Association, Statistica Sinica, Environmetrics, and Statistics & Probability Letters. His research interests are primarily in spatial and spatio-temporal statistics. His work includes both theoretical investigation into asymptotic properties of machine learning methods for spatial data and development of algorithms for the analysis of big spatial data. He collaborates with researchers in ecology, environmental sciences, climatology, and natural resources.
Prof. Farid Meziane, University of Derby, UK
Head of the Data Science Research Centre
Biography: Farid
Meziane is a professor of Data Science, Head of the Data Science
Research Centre, and the University's lead for the Data Science
academic research theme. He obtained a PhD in Computer Science from the University of
Salford, UK on his work on producing formal specification from
Natural Language requirements. The work was considered at that
time as pioneering in the area and paved the way for a large
interest in automating the production of software specifications
from informal requirements.
He has authored over 200
scientific papers and participated in many national and
international research projects. He is the co-chair of the
international conference on application of Natural Language to
information systems; co-chair of the international conference on
Information Science and Systems. He is serving in the programme
committee of over ten international conferences. He is an
associate editor for the data and knowledge engineering
(Elsevier) journal and the managing editor of the International
Journal of Information Technology and Web Engineering (IDEA
publishing). He was awarded the Highly Commended Award from the
Literati Club, 2001 for his paper on Intelligent Systems in
Manufacturing: Current Development and Future Prospects. His
research expertise includes Natural Language processing,
semantic computing, data mining and big data and knowledge
Engineering.
Webpage:
https://www.derby.ac.uk/staff/farid-meziane/
Prof. Domenico Talia, University of Calabria, Italy
Speech Title: Distributed Machine
Learning: Bridging Cloud and Edge Systems
Abstract:
Edge-cloud solutions are being used to collect and analyze large
amounts of data generated by IoT devices in various application
domains, such as urban mobility, smart cities, healthcare, and
augmented reality. We must be able to combine techniques and
algorithms of data analysis and machine learning with the
scalable architectures of Cloud systems and Edge technologies.
This approach can reduce latency and network congestion
associated with traditional cloud-based machine learning
techniques by processing data locally on edge devices before
sending it to the cloud for further analysis. This keynote
discusses distributed machine learning and proposes a reference
architecture to adapt distributed machine learning algorithms at
the edge-cloud continuum. Real applications are presented, and
the main open research issues are discussed.
Biography:
Domenico Talia is a full professor of computer engineering at
the University of Calabria, Italy and an Honorary professor at
Noida University, India. He is a co-founder of the start-up DtoK
Lab. His research interests include Big Data analysis,
high-performance computing, parallel and distributed data mining
algorithms, Cloud computing, distributed machine learning,
social data analysis, peer-to-peer systems, and parallel
programming models and languages. Domenico Talia has published
10 books and more than 400 papers in archival journals such as
Communications of the ACM, IEEE TPDS, IEEE Computer, IEEE TKDE,
IEEE TSE, IEEE TSMC-A, IEEE TSMC-B, IEEE Micro, ACM Computing
Surveys, FGCS, Parallel Computing, IEEE Internet Computing, and
highly reputed conference proceedings. He is a member of the
editorial boards of IEEE Transactions on Parallel and
Distributed Systems, IEEE Computer, ACM Computing Surveys, the
Future Generation Computer Systems journal, the International
Journal of Web and Grid Services, the Journal of Cloud
Computing-Advances, Systems and Applications, the Scalable
Computing Practice and Experience journal, the International
Journal of Next-Generation Computing. He was guest editor of
special issues of IEEE Transactions on Software Engineering,
Parallel Computing, IEEE Transactions on Big Data, and Future
Generation Computer Systems, and served as a program chair or
program committee member of several international conferences.
Talia is a senior member of the Association for Computing
Machinery (ACM) and IEEE Computer Society and has been a
reviewer for several research agencies and public
administrations.