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).
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.
Prof. Gunasekaran Raja
Anna University, India
Dr. Gunasekaran Raja is working as a Professor & Head in Department of Computer Technology at Anna University, Chennai, India and Principal Investigator of NGNLab. He received his Ph.D. in Faculty of Information and Communication Engineering from Anna University, Chennai. Then, he acquired a Post-Doctoral Fellow from University of California, Davis, USA. He received “The Young Engineer Award” from Institution of Engineers India in 2009, Professional Achievement Award for the year 2017 from IEEE Madras Section and Young Faculty Research Fellowship from MeitY, Govt. of India in 2019-2020. His proposal on QoS Enhancement in IEEE 802.16m is recognized by DST under FAST TRACK for Young Scientist Scheme for the year 2012-2015. He is a Senior Member of IEEE and ACM and a life member of CSI and ISTE. His current research interest includes 5G Networks, LTE-Advanced, IoT, Wireless Security, IoD, Machine Learning, Vehicular Networks and Data Offloading.
Title: Core Characteristic Features of IoD & IoV in Next Generation Networks
Abstract: Nowadays, the fifth generation of mobile technology (5G) is positioned to address the demands and business contexts. It is expected to enable a fully mobile and connected society and to empower socio-economic transformations in countless way many of which are unimagined today, including those for productivity, sustainability and well-being. The main focus on 5G Vehicular networks is towards optimizing the handoff issues along with security management techniques. Users shall expect to access 5G networks at ten times greater data rates at any time from anywhere even in vehicles. 5G has targets to allow on average a 10-year battery life for Machine-to-Machine (M2M) type devices (e.g., embedded smart meters and monitoring applications). It is being defined to handle 10,000 times more traffic than what is presently supported by 4G systems (LTE-A). It is anticipated that new types of services and business models such as the “Internet of Things” (IoT), Device-to-Device (D2D), Internet of Drones (IoD) and M2M will result in 10 to 100 times more devices accessing the network. It is envisioned that 5G networks will consist of complex HetNets that use multiple-antenna system techniques, waveforms and new frequency bands in the radio spectrum. In IoD network, to make energy-efficient communication between UAVs Swarm Intelligence, an artificial intelligence technique is used for coordinating large number of individual UAV to work together by incorporating behavioral model of social insects such as ants, honey bees, etc. Multi-UAV cooperative control mechanism and accurate dynamic model formation of UAVs are the major things which is very much needed for defence nowadays to incorporate a fully autonomous flight control system.