Blockchain Summit

The 2019 IEEE Cybermatics Summit on Blockchain: Advances, CHALLENGES & applications

Time: Tuesday July 16, 17:10 - 18:40

Location: Capitol North, Sheraton Atlanta Hotel



Blockchain is a promising technology for decentralization in order to avoid full dependence on a single trusted party in cyber space. Currently, blockchain has attracted intensive attention from not only financial institutions and capital markets, but also governments and other industrial fields due to its disintermediation, transparency, tamper-resilience, collective maintenance, programmability, and immutability. Inspired by Bitcoin, blockchain has been eagerly researched for providing decentralized security solutions in the fields of cryptocurrencies, Internet of Things, cloud computing, data management, healthcare, shared economy, etc. However, applications based on blockchain are still in their infancy although it holds a number of advantages. Existing blockchain-based applications suffer from several drawbacks, such as high resource consumption, low efficiency, low scalability, fork problem, etc., which greatly constrain their wide usage. In this panel, advances, challenges, and applications of blockchain will be discussed. Each panelist will give an opening presentation of his/her point of view, and the discussion will be open to the floor.


Summit Keynotes

²  Zheng Yan, Xidian University, China & Aalto University, Finland

²  Ruppa K. Thulasiram, University of Manitobam, Canada

²  Stefan Schmid, University of Vienna, Austria

²  Richard R. Brooks, Clemson University, USA

²  Hao Wang, Norwegian University of Science & Technology, Norway



Zheng Yan, Xidian University, China & Aalto University, Finland

Zheng Yan is a professor in the School of Cyber Engineering, Xidian University, China and a visiting professor and Finnish Academy research fellow at the Aalto University, Finland. She received the DSc in Technology from the Helsinki University of Technology, Finland. Before joining academia in 2011, she was a senior researcher at the Nokia Research Center, Helsinki, Finland, since 2000. Her research interests are in trust, security, privacy, and security-related data analytics. She is an inventor of 24 patents and 45 PCT patents, all of them having been adopted in industry. She is an area editor of Information Fusion, an associate editor of IEEE Internet of Things Journal, Information Sciences, JNCA and IEEE Access. She served as a general chair or program chair for numerous international conferences. She is a founder steering committee co-chair of IEEE Blockchain conference. She recently received several awards, including the 2017 Best Journal Paper Award issued by IEEE Communication Society Technical Committee on Big Data and the Outstanding Associate Editor of 2017/2018 for IEEE Access.



Ruppa K. Thulasiram, University of Manitobam, Canada

Ruppa K. Thulasiram (Tulsi) is a Professor with the Department of Computer Science, University of Manitoba, Winnipeg, Manitoba. He received his Ph.D., from Indian Institute of Science, Bangalore, India and spent years at Concordia University, Montreal, Canada; Georgia Institute of Technology, Atlanta; and University of Delaware as Post-doc, Research Staff and Research Faculty respectively before taking up a position at University of Manitoba. Tulsi's current research interests include Computational Finance, Cloud Computing, FinTech (Blockchain technology for Financial and other Trading) and related areas focusing on Derivative Pricing Algorithms, Investment Optimization, Task Matching in Grid/Cloud Systems, Resource Pricing in Cloud. He has written about two hundred papers in the areas of High Temperature Physics, Gas Dynamics, Computational Finance, Grid/Cloud computing, and ad hoc networks research areas in prestigious journals and conferences. He has received many best paper awards at conferences and most cited paper recognition in journals. He has delivered many keynote and invited talks at conferences and special events. He has supervised many MSc and PhD theses and graduated many students. He holds a patent for true random generators along with students. His research has been continuously funded by the Natural Sciences and Engineering Research Council of Canada and by other funding opportunities.

Tulsi has developed a curriculum for cross-disciplinary computational finance as well as Cloud computing courses at University of Manitoba for both graduate & senior undergraduate levels and has been teaching them for the past several years. Also, he has been involved in the development of Business Analytics program at University of Manitoba. Tulsi has been an associate editor of the IEEE Transactions on Cloud Computing and has been guest editor for journals such as Elsevier Parallel Computing, Wiley Concurrency and Computation – Practice and Experience etc. He has organized many IEEE/ACM conferences especially in Computational Finance and Computational Intelligence in Finance. He is associated with many professional societies and technical committees of IEEE, ACM, ASAC etc. and is a senior member of IEEE.



Stefan Schmid, University of Vienna, Austria

Stefan Schmid is a Professor at the Faculty of Computer Science, at University of Vienna, Austria. He obtained his diploma (MSc) in Computer Science at ETH Zurich in Switzerland (minor: micro/macro economics, internship: CERN) and did his PhD in the Distributed Computing Group led by Prof. Roger Wattenhofer, also at ETH Zurich. As a postdoc, he worked with Prof. Christian Scheideler at the Chair for Efficient Algorithms at the Technical University of Munich and at the Chair for Theory of Distributed Systems at the University of Paderborn, in Germany. From 2009 to 2015, Stefan Schmid was a senior research scientist at the Telekom Innovation Laboratories (T-Labs) and at TU Berlin in Germany (Internet Network Architectures group headed by Prof. Anja Feldmann). In 2013/14, he was an INP Visiting Professor at CNRS (LAAS), Toulouse, France, and in 2014, a Visiting Professor at Université Catholique de Louvain (UCL), Louvain-la-Neuve, Belgium. From 2015 to 2017, Stefan Schmid was a (tenured) Associate Professor in the Distributed, Embedded and Intelligent Systems group at Aalborg University, Denmark, and continued working part-time at TU Berlin, Germany. Since 2015, he serves as the Editor of the Distributed Computing Column of the Bulletin of the European Association of Theoretical Computer Science (BEATCS), since 2016 as Associate Editor of IEEE Transactions on Network and Service Management (TNSM), and since 2019 as Editor of IEEE/ACM Transactions on Networking (ToN). Stefan Schmid received the IEEE Communications Society ITC Early Career Award 2016. His research interests revolve around the fundamental and algorithmic problems of networked and distributed systems.



Richard R. Brooks, Clemson University, USA

Dr. Richard R. Brooks got his BA from Johns Hopkins University in Mathematical Sciences and PhD in Computer Science from Louisiana State University. He was head of the Penn State ARL distributed systems department for 7 years and is now a professor of Computer Engineering at Clemson. Dr. Brooks' network security research projects have included funding from NSF (analyzing denial of service), DoE (authentication and authorization), BMW Corporation (penetration testing), NIST (standards definition), AFOSR (timing side-channels) and the US State Department (creating anonymous communications tools). He finds attacks that disable security measures by working at a different level of the protocol stack. His Internet freedom work involves interactions with at risk populations working for freedom of expression. He has current work that looks at using the blockchain to secure meta-data, securing connected vehicles, and making the smart grid robust to attacks.



Hao Wang, Norwegian University of Science & Technology, Norway

Hao Wang is an associate professor in the Department of Computer Science in Norwegian University of Science & Technology, Norway. He has a Ph.D. degree and a B.Eng. degree, both in computer science and engineering, from South China University of Technology. His research interests include blockchain, big data analytics, industrial IoT, and safety-critical systems. He has published 100+ papers in reputable international journals and conferences. He served as a TPC co-chair for IEEE DataCom 2015, IEEE CIT 2017, ES 2017, a senior TPC member for CIKM 2019, and reviewers for prestigious journals such as IEEE TKDE, TII, TBD, TETC, T-IFS, IoTJ, TCSS, and ACM TOMM, TIST. He is a member of IEEE IES Technical Committee on Industrial Informatics.




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