International Workshop on Block chain and Data Science

“Advancing knowledge in block chain and data science for sustainable development"
When WhereAbstract Submission Deadline
17 th – 21 st February 2020 KSMS, Nairobi- Kenya 17th Jan 2020

About Workshop

Transforming the developed and developing economies to attain the United Nations’ sustainable development goal (SDGs) is a significant challenge and will require integrated actions exchange of ideas between academic and industry. However, the volume of data in the world is increasing exponentially. According to UN Global Pulse (2012), the amount of available digital data at the global level increased from 150 Exabytes in 2005 to 1200 Exabytes in 2010 and it is projected to grow by 40% annually in the next few years, which is about 40 times the world’s population. This new trend has created the need for exploring ways that can harness the power of data to achieve the SDGs. Therefore, Kenya Norway Mobility (KENOMO) Group cordially invites you to participate in the international workshop on Block Chain and Data Science (IWBD) Scheduled on 17-21 Feb 2020 in Nairobi, Kenya. The Workshop aims at bring together students, researchers and practitioners to present their latest achievements and innovations in the areas of Blockchain and Data Science.   Participants of the workshop will expand their capacity these two areas through cross country and cross-discipline learning and knowledge sharing. The topics of interests include but are not limited to:

Block Chain TopicsData Science Topics
  • Blockchain models, services and applications
  • Blockchain-based Security,privacy, trust and regulation mechanisms
  • decentralization and distributed systems
  • Smart contract and chain code
  • Blockchain for crowdsourcing
  • Blockchain based knowledge and innovation management
  • Financial systems and blockchain
  • New policies for blockchain
  • Performance analysis and optimization
  • Simulation and performance evaluation
  • Algorithms for Big Data
  • Infrastructures for Big Data
  • Big Data Management and Frameworks
  • Big Data storage
  • Machine Learning applications
  • Data preparation techniques
  • Data modeling
  • Distributed data structures
  • Data Mining Tasks
  • Processing of unstructured data

The format of the manuscript should be in a two-column format and 6 -10 pages in length. Papers and posters must be submitted electronically through EasyChair (https://easychair.org/cfp/IWBD2020)

Guidelines for Paper Preparation

All papers must be original and not simultaneously submitted to another journal or conference.

Guidelines for paper preparation can be downloaded from the following link: https://tinyurl.com/qml7zow

Guest Speakers

Lu received her B.S., M.S., and Ph.D. degrees of computer science from NUDT. She was bestowed a first class award and outstanding award for Chinese national science and technology progress in 2009 and 2014. Her continuing research interests include parallel operating systems, high-speed communication, large-scale file systems and data management, and advanced programming environments and applications.

Name: PositionLink to Profile
Mr. John Matogo Mr. John Matogo University Relations Leader
IBM East Africa, Kenya
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Prof Reggie Davidrajuh Prof Reggie Davidrajuh View Profile

Topic:

modeling, simulation, and performance analysis of information and communication systems

Bio:

Reggie Davidrajuh received a master degree in control systems engineering and a PhD in industrial engineering, both from the Norwegian University of Science and Technology (NTNU), in 1993 and 2001, respectively. He also received a doctor of science (Dr hab) degree in informatics from AGH University of Science and Technology, Poland, in 2016. He is a Professor of Informatics at the Department of Electrical and Computer Engineering at the University of Stavanger, Norway. He is also a visiting professor to the Silesian University of Technology, Poland. His current research interests include discrete-event systems, Petri nets, and graph algorithms.

Prof Hai Jin Prof Hai Jin Professor of Computer Science and Engineering
Huazhong University of Science and Technology (HUST) in China
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Topic:

Evening Out the Stumbling Blocks for Today’s Blockchain Systems

Bio:

Hai Jin is a Professor of Computer Science and Engineering at the Huazhong University of Science and Technology (HUST) in China. He is now the Dean of School of Computer Science and Technology at HUST. He received his Ph.D. in computer engineering from HUST in 1994. In 1996, he was awarded German Academic Exchange Service (DAAD) fellowship for visiting the Technical University of Chemnitz in Germany. He worked for the University of Hong Kong between 1998 and 2000 and participated in the HKU Cluster project. He worked as a visiting scholar at the University of Southern California between 1999 and 2000. He is the chief scientist of the largest grid computing project, ChinaGrid, in China. Dr. Jin is a senior member of IEEE and member of ACM. He is the member of Grid Forum Steering Group (GFSG). His research interests include computer architecture, cluster computing and grid computing, virtualization technology, peer-to-peer computing, network storage, network security.

Prof Yutong Lu Professor Yutong Lu Director of National Supercomputing Center
Guangzhou, China.
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Topic:

modeling, simulation, and performance analysis of information and communication systems

Bio:

Professor Lu is the Director of National Supercomputing Center in Guangzhou, China. She is also the professor in the School of Computer Science at Sun Yat-sen University, as well as at the National University of Defense Technology (NUDT). Her extensive research and development work has spanned several generations of domestic supercomputers in China, which includes her role as the deputy chief designer of the Tianhe supercomputers. She is also leading a number of HPC and big data projects under the support of the Chinese Ministry of Science and Technology, the National Natural Science Foundation of China, and Guangdong Province. Her current research interest includes large-scale storage systems, high performance computing, and computer architecture.

Important Dates

EventDate
Abstract Submission Deadline 17th Jan 2020
Notification of Abstract Acceptance 24th Jan 2020
Camera Ready Paper Submission Deadline 31st Jan 2020
Notification of Camera-Ready Paper Acceptance 7th Feb 2020
Early Bird Registration Deadline (Authors and Participants) 7th Feb 2020
Late Bird Registration Deadline (Authors and Participants) 14th Feb 2020
Workshop Dates 17th -21st Feb 2020

Publication

The best three papers in each of the two tracks will be published in one of the selected refereed academic Journals

Workshop Application

In order to be considered for participation at the workshop,  please complete the online application form ( https://forms.gle/QsySgzNVXcyRYs1XA)

Students Colloquium

The workshop includes Student Colloquium that will be held on 19th and 20th, February 2020, the same venue. The colloquium aims to provide an avenue for computing students to showcase their research work, and link and engage with other graduate students, academic researchers and industry practitioners in the field.

To be eligible to participate, students should be enrolled in a computer science/IT or equivalent program at the time of the colloquium and must submit abstract on their research work to be presented during the colloquium. Each abstract presentation will be allocated a period of 15-20 minutes.

Thanks to financial support from DIKU-Norwegian Partnership Programme for Global Academic Cooperation (NORPART), the colloquium is free of charge to participating graduate students, but space is limited. If interested in participating, please submit the following information by email by  Jan 17th, 2020 at the latest to the colloquium coordinators Mr. Russel Wolff at russel.wolff@uis.no, Dr. Simon N. Mwendia at smwendia@kca.ac.ke and Prof. Waema at waema@uonbi.ac.ke

Submitted abstracts will be reviewed with selected participants notified in due course. Selected participants will be required to present their work during colloquium.

Thank you.