Conference Chairs
  Hoang Pham, FIEEE
     Rutgers University, USA
  Anh Dao Thi Nguyen
     Dong A University, Vietnam
Program Chairs
  Cedric Heuchenne
     University of Liege, Belgium
  Phuc Kim Tran
     ENSAIT & GEMTEX, France
Tutorial Chair
  Thong Quoc Nguyen
     University of Liege, Belgium
     Dong A University, Vietnam
Arrangements Chairs
  Du Huu Nguyen
     Dong A University, Vietnam
  Ngoc Thanh Thi Nguyen
     Dong A University, Vietnam
International Program Committee
  El-Houssaine Aghezzaf (Belgium)
  N. Balakrishnan (Canada)
  Huong Mai Bui (Vietnam)
  Philippe Castagliola (France)
  Giovanni Celano (Italy)
  Subhabrata Chakraborti (USA)
  Shyi-Ming Chen (Taiwan)
  Alessandro Di Bucchianico
      (The Netherlands)
  Alexandre Dolgui (France)
  Jean-Marc Ferrandi (France)
  Seohoon Jin (Korea)
  Michael Boon Chong Khoo      
  Célestin Kokonendji (France)
  Shujun Li (United Kingdom)
  Fadel M. Megahed (USA)
  Huu-Du Nguyen (Belgium)
  Thi-Hien Nguyen (France)
  Peihua Qiu (USA)
  Athanasios Rakitzis (Greece)
  Miklós Rásonyi (Hungary)
  Sébastien Thomassey (France)
  Huong Thu Truong (Vietnam)
  Fugee Tsung (Hong Kong)
  Min Xie (Hong Kong)
  Xianyi Zeng (France)

Calls for Papers / Journals of Interest

International Journal of Reliability, Quality and Safety Engineering (IJRQSE)

Annals of Operations Research

Call for Book Chapters



Important Dates  

Submission Deadline   
  February 15, 2020
  March 15, 2020
  April 15, 2020

  Printable DSBFI 2020 Call for Papers  

Organizers and Sponsors

 The conference is organized and sponsored by

     International Society of Science and Applied Technologies (ISSAT)

   In cooperation with

        Dong A University, Vietnam 

Aims and Scope

The Second ISSAT International Conference on Data Science in Business, Finance and Industry (DSBFI 2020) conference provides an international forum for presentation of new results as well as exchanges and disseminates innovative and practical development experiences. The conference covers all aspects of data science in business, finance and industry including algorithms, modeling and applications. Large amount of data created by various mobile platforms, social media interactions, e-commerce transactions, and IoT provide an opportunity for business, finance and industry to improve the quality of their products and services by effective use of data science. DSBFI draws researchers, application developers, and practitioners from a wide range of data science related areas such as statistics, business analytics, computer science, engineering, and applied science. By promoting novel, high-quality research findings and innovative solutions to challenging data science problems, the conference seeks to advance the state-of-the-art in data science.

Paper Submissions

Authors are invited to submit full manuscripts or extended abstracts by April 15, 2020 to Conference Secretary at

Papers must be original and have not been published or submitted for publication elsewhere. All submitted papers/extended abstracts will be reviewed for merit and contents. 

Author of an accepted paper/extended abstract will need to register and pay full conference registration fee for the paper to be published in the conference proceedings.

Guidelines for paper submission.

Topics of Interest
  Topics of interest for submission include, but are not limited to:


  • Advanced Statistical Methods in Data Science
  • Algorithms, Models and Theory of Data Mining
  • Machine Learning and Statistical Methods for Data Mining
  • Predictive Modeling and Analytics
  • Machine Learning in Business, Finance and Industry
  • Data Virtualization and Quality
  • Data Mining Applications in Healthcare, Finance and Industry
  • Application of Big Data in Industry
  • Conversational Recommender Systems
  • Quantitative Modeling in Big Data
  • Data Warehouse for Business Intelligence
  • Computer Vision - Algorithms and Applications
  • Artificial Intelligence (AI) and Autonomous Machines
  • Big Data Mining and Analytics
  • Statistical Techniques and Tools for Data Science
  • Healthcare Systems and Management
  • Information and Data Processing in Business
  • Spatial Data Analysis
  • Search and Knowledge Discovery
  • Data Intelligence and Security
  • Security, Trust and Risk in Big Data
  • Mobile Systems and Development for Handheld Devices
  • Business and Operation Analytics
  • Service Innovation and Management
  • Supply Chain Management Systems Modeling and Simulation
  • Technology and Knowledge Management
  • Applications of data science in business, finance, social sciences, physical sciences, life sciences, web, marketing, precision medicine, education, health informatics, and industry
Best Paper Awards / Journal Publications

Two outstanding papers presented at the conference will be chosen for the ISSAT Best Paper and Best Student Paper Awards. Student must be first author and presenter at the conference to quality.

Outstanding papers will be considered for publication in special issues of the International Journal of Reliability, Quality and Safety Engineering and Statistical Reliability Modeling and Optimization Special Volume of the Annals of Operations Research and an edited book by Springer. Authors of selected papers will be notified and provided with more details.