IEEE RDAAPS 2021: IEEE Reconciling Data Analytics, Automation, Privacy, and Security: A Big Data Challenge McMaster University Hamilton, Canada, May 17-19, 2021 |
Conference website | http://rdaaps.com |
Submission link | https://easychair.org/conferences/?conf=rdaaps2021 |
Submission deadline | January 11, 2021 |
RDAAPS is the first annual international conference on research in the broadly defined area of data analytics. It brings together researchers from academia, industry, and the public sector to present and discuss various aspects of data analytics, including privacy, security, and automation. This venue is meant to bring together stakeholders whose interests lie at the interface of these concerns, providing a platform for integrating the needs of industry with state-of-the-art scientific advancements, and inspiring original research on solving enterprise data challenges.
Big Data Analytics for Decision Making
- New models and algorithms for data analytics
- Scalable data analytics
- Optimization methods in data analytics
- Theoretical analysis of data systems
- Analytical reasoning systems
- Decision making under uncertainty
- Learning systems for data analytics
- Large-scale text, speech, image, or graph processing systems
Accountable Data Analytics
- Privacy-aware data analytics
- Fairness in data analytics
- Interpretable and transparent data analytics
- Data analytics incorporating legal and ethical factors
Strings in Data Analytics
- Patterns in Big Data
- Data compression
- Bioinformatics
- Algorithms and data structures for string processing
- Useful data structures for Big Data
- Data structures residing on secondary storage
Security in Data Analysis
- Traceability of decision making
- Models for forecasting cyber-attacks and measuring impact
- Data usage in mounting security threats
- Data analytics for better situational awareness
Domain knowledge modelling and generation
- Novel ontology representations
- Scalability of domain-based reasoning on big data
- Modelling and analyzing unstructured data sets
Automation for data analytics, security, and privacy in manufacturing
- Application of data analysis in manufacturing
- Big data in Industry 4.0
- Privacy and security in manufacturing
Challenges of automation of data analytic processes
- Case studies of the automation of data analytics processes
- Architecture for data analytics and security
- Built-in privacy and security in data analytics automation
Submission instructions:
Successful papers will address real research challenges through analysis, design, measurement, and deployment of data systems. The program committee will evaluate each paper using metrics that are appropriate for the topic area. All submissions must describe original ideas, not published or currently under review for another conference or journal.
Submissions must follow the formatting guidelines of IEEE proceedings, and be submitted electronically as a PDF file through the EasyChair author interface for the RDAAPS conference (link to follow soon). Submissions not adhering to the specified format and length may be rejected immediately.
The submitted papers can include up to 8 pages in IEEE format, including references, appendices, and figures.
Publication:
All accepted papers will be published in the IEEE conference proceeding.
Important dates:
- Deadline for paper submission: January 11th, 2021
- Notification to authors: February 22nd, 2021
- Deadline for camera ready version: March 15th, 2021
We look forward to receiving your submissions!
Best regards,
General Chairs
M. Jamal Deen, McMaster University
Ridha Khedri, McMaster University
Steering Committee
Mike Grainge, Adlib Software
Ridha Khedri, McMaster University
Wendy MacCaull, St. Francis Xavier University
Neerja Mhaskar, McMaster University
Organizing Committee
Hassan Ashtiani, McMaster University, Publication Co-Chair
Mike Grainge, Adlib Software, Industrial Liaison
Wenbo He, McMaster University, Publication Co-Chair
Ridha Khedri, McMaster University, Local Organizer
Andrew LeClair, McMaster University, Publicist
Alicia Marinache, McMaster University, Treasurer
Neerja Mhaskar, McMaster University, Local Organizer
Program Committee Chairs
Arash Habibi Lashkari, University of New Brunswick
Ridha Khedri, McMaster University
Neerja Mhaskar, McMaster University
Program Committee Members (Current confirmed list)
Ken Barker, University of Calgary
Solon Pissis, Centrum Wiskunde & Informatica (CWI)
Wing-Kin Sung, National University of Singapore
Andrew Malton, Blackberry Ltd.
Dan Feng, Beijing University of Posts and Telecommunications
Wendy MacCaull, St. Francis Xavier University
Kamel Adi, Université du Québec en Outaouais
Jian Li, Futurewei Technologies
Maxime Crochemore, King's College London and Université Paris-Est
Jason Jaskolka, Carleton University
Claude Baron, LAAS-CNRS, INSA
Fazle Rabbi, University of Bergen
Yan Liu, Concordia University
William F. Smyth, McMaster University
Costas Illiopoulos, King's College London
Noman Mohammed, University of Manitoba
Laurence T. Yang, St. Francis Xavier University
Hideo Bannai, M&D Data Science Center, Tokyo Medical and Dental University, Japan
Don Adjeroh, West Virginia University
Shunsuke Inenaga, Kyushu University
Nadia Pisanti, Universita di Pisa
Fei Chiang, McMaster University
Wenbo He, McMaster University
Hassan Ashtiani, McMaster University
Jamal Deen, McMaster Univeristy
Mourad Debbabi, Concordia University
Giovanni Livraga, University of Milan
Michael Soltys, California State University Channel Islands
Haya Ghalayini, Sheridan College
Yihai Chen, Shanghai University
Matt Broda, Amazon Web Services
Latifa Ben Arfa Rabai, University of Buraimi
Guangquan Xu, Tianjin University
Yihai Chen, Shanghai University
Ahmed Mehaoua, Université Paris Descartes
Fred Popowich, Simon Fraser University
Mohammad Tayebi, Simon Fraser University
Chao Tong, Beihang University