BDCAT 2017 - 4th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)

The 4th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)
Date: December 5 – December 8, 2017
Location: Austin, Texas, USA
Website: http://bdcat-conference.org
Important Dates:
Paper submission due: July 15, 2017
Notification of acceptance: August 27, 2017
Camera ready papers due: September 30, 2017
Early registration deadline: September 30, 2017
Conference: December 5 – December 8, 2017
The IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) is an annual conference series aiming to provide a platform for researchers from both academia and industry to present new discoveries in the broad area of big data computing and applications. The first 3 events were held in London, Cyprus, and Shanghai. BDCAT 2017 will be held in conjunction with the 10th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2017) in Austin, Texas, USA.
Authors are invited to submit original unpublished manuscripts on a broad range of topics related to big data science, computing paradigms, platforms and applications.
Topics of interest include, but are not limited to:
I. Big Data Science
• Big Data Analytics
• Data Science Models and Approaches
• Algorithms for Big Data
• Big Data Search and Information Retrieval Techniques
• Data Mining and Knowledge Discovery Approaches
• Machine Learning Techniques for Big Data
• Big Data Acquisition, Integration, Cleaning, and Best Practices
• Big Data and Deep Learning in Physics, Information, HPC, HEP, Astrophysics and related areas
II. Big Data Infrastructures and Platforms
• Scalable Computing Models, Theories, and Algorithms
• In-Memory Systems and Platforms for Big Data Analytics
• Cyber-Infrastructure for Big Data
• Performance Evaluation Reports for Big Data Systems
• Storage Systems (including file systems, NoSQL, and RDBMS)
• Resource Management Approaches for Big Data Systems
• Many-Core Computing and Accelerators
III. Big Data Applications
• Big Data Applications for Internet of Things
• Mobile Applications of Big Data
• Big Data Applications for Smart City
• Healthcare Applications such as Genome Processing and Analytics
• Scientific Application Case Studies on Cloud Infrastructure
• Big Data in Social Networks
• Data Streaming Applications
IV. Big Data Trends and Challenges
• Fault Tolerance and Reliability
• Scalability of Big Data Systems
• Energy-Efficient Algorithms
• Big Data Privacy and Security
• Big Data Archival and Preservation
V. Visualization of Big Data
• Visual Analytics Algorithms and Foundations
• Graph and Context Models for Visualization
• Analytics Reasoning and Sense-making on Big Data
• Visual Representation and Interaction
• Big Data Transformation, and Presentation
Organizing Committee:
Honorary Chairs
Rajkumar Buyya, University of Melbourne, Australia
Geoffrey Fox, Indiana University, USA
Beng Chin OOI, National University of Singapore, Singapore
General Chairs
Ashiq Anjum, University of Derby, UK
Alan Sill, Texas Tech University, USA
Program Committee Chairs
Xinghui Zhao, Washington State University Vancouver, USA
Mohsen Farid, University of Derby, UK
Shrideep Pallickara, Colorado State University, USA
Jiannong Cao, The HongKong Polytechnic University, Hong Kong
Local Organizing Chair
Tim Cockerill, Texas Advanced Computing Center, USA
Jerry Perez, Texas Tech University, USA
Ravi Vadapalli, Texas Tech University, USA
Zhangxi Lin, Texas Tech University, USA
Publicity Chairs
David Chiu, University of Puget Sound, USA
Ningfang Mi, Northeastern University, USA
Gleb Radchenko, South Ural State University, Russia
Andrei Tchernykh, CICESE Research Center, Mexico
Yan Tang, Hohai University, China
Iman Elghandour, Alexandria University, Egypt
Technical Program Committee
Jong Hoon Ahnn, University of California, Los Angeles, USA
Adel Taweel, Birzeit University/King's College, London, UK
Varun Soundararajan, Google, USA
Daniel S. Katz, University of Chicago & Argonne National Laboratory, USA
Robert Hsu Chung Hua University, Taiwan
Dongfang Zhao, Pacific Northwest National Laboratory, USA
Yin Zhang, Zhongnan University of Economics and Law, China
Ljiljana Trajkovic, Simon Fraser University, Canada
Robert Hsu, Chung Hua University, Taiwan
Bo Sheng, University of Massachusetts Boston
Jiayin Wang, University of Massachusetts Boston
Rami Bahsoon, University of Birmingham, UK
Marco Netto, IBM Research
Xiao Chen, Jiangsu University, China
Justin Wozniak, Argonne National Laboratory, USA
Andre Luckow, BMW
Dan Chen, Wuhan University, China
Rafael Tolosana-Calasanz, University of Zaragoza, Spain
Lee Gillam, University of Surrey, UK
Been-Chian Chen,National University of Tainan,Taiwan
Josef Spillner, Zurich University of Applied Sciences, Switzerland
Rajkumar Kettimuthu, Argonne National Lab and The University of Chicago, USA
Paul Townend, University of Leeds, UK
Guanjun Liu, Tongji University, Shanghai, China
Yan Tang, University of Texas at Dallas, USA
Mustafa Rafique, IBM Research, Ireland
Nik Bessis, Edge Hill University, UK
Tonglin Li, Illinois Institute of Technology, USA
Jie Cui, Anhui University, China
Weidong Shi, University of Houston, USA
Jose Brito, Universidade de Brasilia, Brazil
Samer Al-Kiswany, The University of British Columbia, Canada
Jie Cui, Anhui University, Hefei, China
Manzur Murshed, Federation University, Australia
Silvio Pardi,Unviersity of Naples Federico II, Italy
Richard Hill, University of Derby, UK
Kune Raghavendra, ADRIN,DOS, India
Sangmi Pallickara, Colorado State University, USA
Patrick Glauner, University of Luxembourg, Luxembourg
Said Jai Andaloussi, Casablanca Hassan II University, Morocco
Blesson Varghese, Queen’s University Belfast, UK
Jianwu Wang, University of Maryland, USA
Ljiljana Trajkovic, Simon Fraser University, Canada
Linlin You, Singapore University of Technology and Design
Tariq Abdullah, University of Derby, UK
Renyu Yang Beihang University, China
Ahsan Javed Awan, KTH Royal Institute of Technology, Sweden