Prof. Meelis
Kitsing,
Estonian Business School, Estonia
Meelis Kitsing is a Professor at the Department of Economics and
Finance and Director at the Centre for Free Economic Thought at
the Estonian Business School. He also serves as the President of
Estonian Economic Association. He was Head of Economic Analysis
at the Estonian Ministry of Economic Affairs and Communications
from 2011 to 2015. Meelis has taught at the University of
Massachusetts, University of Connecticut, Clark University,
College of the Holy Cross, Emmanuel College, Bentley University
and Western New England University in the United States.
His contributions on political economy of information technology
and open source software development have been published by
Transnational Corporations Review, Journal of Politics, Policy
and Internet, Journal of Information Technology and Politics as
well as by MIT Press, ACM and IOS Press. His research has been
funded by the US National Science Foundation, Hayek Fund for
Scholars at the Institute for Humane Studies and Humane Studies
Fellowship of Institute for Humane Studies at the George Mason
University. He has conducted research at Estonian Business
School, Ministry of Economic Affairs and Communications in
Estonia, University of Massachusetts Amherst, National Center
for Digital Government (US), George Mason University, Central
European University and Harvard University.He has been quoted in
the Financial Times, Economist, Reader’s Digest, El Comercio and
Postimees.
Meelis earned his PhD from the University of Massachusetts
Amherst (US), his MALD as a Fulbright scholar from the Fletcher
School at Tufts University (US) and his MSc as a Peacock scholar
from London School of Economics (UK).
Speech Title:Alternative futures for digital platform ecosystems
Abstract:I will explores the role of digital platforms and their
potential future developments by making three contributions.
First, the concept of digital platform ecosystem is introduced
instead of platform economy. The development of digital
platforms depends on a number of political and social factors in
addition to economic and technological drivers. Particularly,
the role of governance and institutions is emphasized for
structuring platform ecosystems. Second, the future of digital
platform ecosystems is explored on the basis of scenario
planning. This approach allows to consider alternative future
trajectories rather than rely on extrapolation of current
trends. Last but not least, I will discuss different scenarios
developed by international and national organizations which
highlight potential futures for digital platform ecosystems. The
difference and similarities in these scenarios are summarized
and implications are highlighted.
Prof. Thanh Van Do,
Telenor / Oslo Metropolitan University, Norway
Prof. Dr. Do Van Thanh obtained his MSc in Electronic and
Computer Sciences from the Norwegian University of Science and
Technology and his PhD in Informatics from the University of
Oslo. He joined Telenor R&D in 2000 and has been working in a
variety of fields including distributed computing, mobile
service personalization, mobile commerce, and privacy and
security. At Telenor Research, he is in charge of Identity
Management, Cyber Security and SIM research activities. He has
been the project leader of multiple EU research projects and
member of multiple conference technical committees. He is also a
professor at the Oslo Metropolitan University. He is the author
of more than 200 publications at international conferences and
journals and holds 22 patents.
Speech Title:Threat intelligence for 5G mobile networks
Abstract: The coming 5G mobile network will be dominated by
billion IoT device, which constitute a considerable threat to
the coming virtualized mobile network with a flat architecture.
Indeed, a large number of infected IoT devices can be mobilized
by an attacker to create an attach flood which can take down the
entire mobile network. To prevent such attack an efficient
threat intelligence is required. This talk introduces a
promising solution will be to make use of Machine Learning which
employs data from both the network layer and application layer
to detect abnormal activities on IoT devices prior to the attack
and to prevent it.
Prof. Quanbo Ge
Tongji University, China
Quanbo Ge is a researcher and a Ph.D supervisor in Tongji
University of China. He was also a young candidate of the
“Ten-thousand Talents Program” in Zhejiang Province of China and
was one of excellent postdoctoral fellows in Zhejiang Province
(2017). From Jan.2012 to Jan.2013, he was a visiting scholar of
the Department of Electronics and Computer Engineering in the
University of Minnesota. He received the 4th Young Scientist
Award of China Automation Society and is supported by Zhejiang
Outstanding Youth Science Fund in 2016. His main research
interests include smart Kalman filtering, information fusion,
energy internet and autonomous unmanned system and so on. He has
published more than 30 SCI papers including IEEE TAC, IEEE
TNNLS, IEEE TIE, IEEE TSMC:Systems, IET CTA, and AMC and so on.
The work has been supported by more than ten projects such as
NSFC, Zhejiang Province Nature Science Foundation, and China
Postdoctoral Science Foundation and so on. Dr. Ge is also one of
deputy directors of the CYA of the China Automation Association
(CAA), a member of the Intelligent Automation Committee of CAA,
and one of deputy secretaries of the Hybrid Intelligent
Committee and so on.