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Sirindhorn International Institute of Technology,
Thammasat University (SIIT, TU)
Thammasat University (TU)
Artificial Intelligence Association of Thailand (AIAT)
National Electronics and Computer Technology Center (NECTEC), Thailand
Japan Advanced Institute of Science and Technology (JAIST)
Vietnam National University, Hanoi (VNU)
Le Quy Don Technical University, Hanoi (LQDTU)
Faculty Institute School University of Information and Communication Technology (FISU)

Special Session: Industry Applications of Business Analytics (IABA)

The 13th International Conference on KNOWLEDGE AND SYSTEMS ENGINEERING (KSE 2021)

November 10-12, 2021,
Bangkok, Thailand & Online

To remain competitive, firms across industries including manufacturing, customer service, marketing, training, pricing, security, and operations have invested in analytics and artificial intelligence (AI) technologies to keep pace with existing peers and digitally native market entrants. On one hand, these technologies can enhance performance and greatly reduce workload by utilising novel AI methods on big data which are unrealistic with traditional statistics methods. On the other hand, the reliance of these models on historical data, which many crises rendered near useless in some cases by driving drastic changes in human and market behaviours, make them far from perfect. In this complex and fast-moving environment, industry applications of business analytics need to be strengthened with emerging techniques including bias, fairness and instability monitoring and modelling. The topics on the trade-offs of performance and interpretability as well as new and alternative data for predictive and risk analytics are also crucial to the sustainability of AI-based approaches for business analytics. This special session focuses on, but not limited to the following topics:

  • Case Studies of Artificial Intelligence, Business Intelligence, Analytics Technologies for Industry Applications
  • Machine Learning and Predictive Analytics in Accounting, Finance, and Management
  • Data, Text, and Social Media Mining for Business Analytics
  • Data-driven Applications in Manufacturing: Management, Engineering, and Organizational Transformation
  • Intelligent Decision Support for Logistics and Supply Chain Management
  • Decision Support for Logistics and Supply Chain Management
  • Large-scale vehicle routing, Routing and Inventory, empty container reposition, and (customers, orders) clustering Problems.
  • MApplications for novel e-systems such as e-logistics and e-supply chain, smart manufacturing.

Submission guideline

The papers of this session will be printed in proceeding of main conference which will be published by IEEE and be available at the conference. Papers should be submitted through the online paper submission system:

Authors are invited to submit papers of up to 6 pages, written in English, in PDF format and compliant with the IEEE standard. The submissions will be peer-reviewed for originality and scientific quality. (

Important Dates:

  • Manuscript submission: August 15, 2021 (Extended)
  • Notification of acceptance: September 10, 2021
  • Camera-ready submission: September 25, 2021
  • Registration: September 25, 2021

Session Organizers:

  • Ba-Hung Nguyen, Faculty of Economics and Law, Thai Binh Duong University, Vietnam
  • Trung-Lap Nguyen, Faculty of Information Technology, Thai Binh Duong University, Vietnam
  • Su Nguyen, Business School, LaTrobe University, Australia
  • Van-Hop Nguyen, School of Industrial Engineering and Management, International University, VNU-HCM

More Information

Any question can be sent to process, e-mail: