[CfP] CiDaS 2019, Contemporary Issues in Data Science, The International Conference on

[Mahdi Bohlouli]

**apologies for cross-postings**

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				Call for Papers
			The International Conference on 
		          Contemporary Issues in Data Science 
				     CiDaS19

               Institute for Advanced Studies in Basic Science, 6-8 March 2019, Zanjan, Iran

		Conference Website: https://cidas.iasbs.ac.ir
		Submission link: https://easychair.org/conferences/?conf=cidas19
		Publication in: https://www.springer.com/series/15362
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Data science is rapidly growing field and as a profession incorporates a wide variety of areas from statistics, mathematics and machine learning to applied big data analytics. In this regard, we put special interest and focus on data science in our past executions of CICIS conference. This year, in its 5th run, we decided to dedicate the conference to data science area and accordingly keep it as professional data science event in the future. The 5th international conference on Contemporary issues in Data Science (CiDaS) will provide a sort of a real workshop (not listen-shop) to scientists and scholars to share ideas, initiate future collaborations and brainstorm challenges as well as industries to catch emerging solutions from the science to their real data science problems.

Goal: 
CiDaS aims at providing first class brainstorming and collaboration potentials to data scientists and experts from other related areas and disciplines, who use data science innovations in their field. We accept applied and fundamental research papers, survey papers that show innovations in the field  as well as papers from other disciplines that show novel application of data science and big data in their field such as healthcare, manufacturing, finance and etc. 

Keynote Speakers: 
- Soeren Auer: Leibniz University of Hannover, TIB Leibniz Information Centre for Science and Technology, Germany
- Mohammad Shokoohi Yekta, Apple Inc., United States
- Hamid Beigy, Sharif University of Technology, Iran

Topics: 
Main topics to be addressed in the CiDaS conference include, but not limited to:
* Big Data Analysis: Linked Open Data, Scalable Machine Learning, Distributed Data Storage and Analysis, Algorithmic and Statistical Techniques for Big Data, Privacy and Ethics
* Machine Learning and Data science: Deep Learning, Text Mining and Natural Language Processing, Statistical Pattern Recognition, Statistical Models in Data Science, Probabilistic graphical models
* Semantic Data Science: Knowledge Discovery, Semantic Technologies, Novel Information Retrieval, Linked data and Semantic Web, Ontologies, Graph and Network Analysis
* Applied Data Science: Computer vision, Biological data analysis and Bioinformatics, Social network analysis, Large Scale Data retrieval and analysis in Smart Cities, Data Science for Gamification, IoT and WoT, Industry 4.0, Malware detection

Paper Submission: 
All submissions should be in English and PDF format. Authors are requested to use the style of the Springer Publications format. For details on the Springer style, see Springer's Author Instructions (ftp://ftp.springernature.com/cs-proceeding/llncs/llncs2e.zip). Two types of submissions will be accepted: (1) Full paper and (2) Short paper. Full paper submissions are not allowed to exceed 11 pages including references. Short paper submissions should be maximum 6 pages. All papers should be submitted through Easychair system using the following link: https://easychair.org/conferences/?conf=cidas19

Conference Proceedings: 
All accepted full papers will be published by Springer in Lecture Notes on Data Engineering and Communications Technologies (https://www.springer.com/series/15362). The books of this series are submitted to ISI Proceedings, MetaPress, Springerlink and DBLP.

Important Dates:
- Paper submission: November 9, 2018
- Tutorial submission: January 5, 2019
- Preliminary review: January 11, 2019  
- Rebuttals: January 23-25, 2019
- Notification of acceptance: February 1, 2019  
- Camera-ready and early registration: February 14, 2019  
- Late registration deadline: February 24, 2019

Program Chairs: 
- General Chair: Bahram Sadeghi Bigham
- International Chair: Mahdi Bohlouli
- Local Chairs: Zahra Narimani, Mahdi Vasighi
- Tutorials Chair: Parvin Razzaghi

Program Committee: 
Hassan Abolhassani, Software engineer at Google, USA  
Mohsen Afsharchi, University of Zanjan, Iran  
Morteza AnaLoui, Iran University of Science and Technology, Iran  
Amin Anjomshoa, Massachusetts Institute of Technology, USA  
Lefteris Angelis, Aristotle University of Thessaloniki, Greece  
Nikos Askitas, Research Data Center, Institute of Labour Economics, Germany  
Zeinab Bahmani, Uni-Select Inc, Canada  
Davide Ballabio, University of Milano-Bicocca, Italy  
Markus Bick, ESCP Europe Business School, Germany  
Elnaz Bigdeli, University of Ottawa, Canada  
Mansoor Davoodi Monfared, Institute of Advanced Studies in Basic Sciences, Iran  
Mohammad Reza Faraji, Institute of Advanced Studies in Basic Sciences, Iran  
Agata Filipowska, Poznan University of Economics and Business, Poland  
Holger Fröhlich, University of Bonn, Germany  
George Kakarontzas, Technical Educational Institute of Thessaly, Greece  
Alireza Khastan, Institute of Advanced Studies in Basic Sciences, Iran  
Antonio Liotta, University of Derby, UK  
Rahim Mahmoudvand, Bu-Ali Sina University, Iran  
Samaneh Mazaheri, University of Ontario Institute of Technology, Canada  
Federico Marini, University of Rome "La Sapienza", Italy  
Maryam Mehri Dehnavi, University of Toronto, Canada  
Nima Mirbakhsh, Arcane Inc, Canada  
Ali Movaghar, Sharif University of Technology, Iran  
Ehsan Nedaaee Oskoee, Institute of Advanced Studies in Basic Sciences, Iran  
Peyman Pahlevani, Institute of Advanced Studies in Basic Sciences, Iran  
Paurush Praveen, Machine Learning Research, CluePoints, Belgium  
Edy Portmann, University of Fribourg, Switzerland  
Shahram Rahimi, Southern Illinois University, USA  
Reinhard Rapp, Hochschule Magdeburg, Germany  
Mohammad Saraee, University of Salford-Manchester, UK  
Frank Schulz, SAP AG, Germany  
Mehdi Sheikhalishahi, Innotec21 GmbH, Germany  
Ioannis Stamelos, Aristotle University of Thessaloniki, Greece  
Athena Vakali, Aristotle University of Thessaloniki, Greece

Contact:
All questions about submissions should be emailed to Zahra Narimani <cidas at iasbs.ac.ir> and Mahdi Bohlouli <me at bohlouli.com>.