Invited Speech 特邀报告

 

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.