Shaibal Barua, Senior Lecturer

Shaibal Barua is a Senior Lecturer at Mälardalen University in Computer Science and working with the Artificial Intelligence and Intelligent Systems group. He received his Ph.D. in computer science in 2019 from Mälardalen University. In 2013 he received his MSc in Computer Science and in 2015 he received licentiate degree from Mälardalen University.

Research Interest:

  • Applied Artificial Intelligence & Machine Learning
  • Data Analytics
  • Statistical Learning Theory
  • Signal Processing and Multi-sensor Data Fusion
  • Distributed AI and ML for big data

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Latest publications:

A Systematic Review of Explainable Artificial Intelligence in terms of Different Application Domains and Tasks (Jan 2022)
Mir Riyanul Islam, Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum
Applied Sciences - Computing and Artificial Intelligence (Special Issue: Explainable Artificial Intelligence (XAI)) (ApplSci XAI)

A Survey on Artificial Intelligence (AI) and eXplainable AI in Air Traffic Management: Current Trends and Development with Future Research Trajectory (Jan 2022)
Augustin Degas , Mir Riyanul Islam, Christophe Hurter , Shaibal Barua, Hamidur Rahman, Minesh Poudel , Daniele Ruscio , Mobyen Uddin Ahmed, Shahina Begum, Md Aquif Rahman, Stefano Bonelli , Giulia Cartocci , Gianluca Di Flumeri , Gianluca Borghini , Fabio Babiloni , Pietro Aricò
Applied Sciences - Computing and Artificial Intelligence (Special Issue: Explainable Artificial Intelligence (XAI)) (ApplSci XAI)

Vision-Based Driver’s Cognitive Load Classification Considering Eye Movement Using Machine Learning and Deep Learning (Nov 2021)
Hamidur Rahman, Mobyen Uddin Ahmed, Shaibal Barua, Peter Funk, Shahina Begum
Special Issue on Deep Learning in Biomedical Informatics and Healthcare (Sensors)

Study on Human Subjects - Influence of Stress and Alcohol in Simulated Traffic Situations (Jul 2021)
Mobyen Uddin Ahmed, Mir Riyanul Islam, Shaibal Barua, Bertil Hök, Emma Jonforsen , Shahina Begum
Open Research Europe (ORE)

Data Analytics using Statistical Methods and Machine Learning: A Case Study of Power Transfer Units (Mar 2021)
Sharmin Sultana Sheuly, Shaibal Barua, Shahina Begum, Mobyen Uddin Ahmed, Ekrem Güclü , Michael Osbakk
International Journal of Advanced Manufacturing Technology (IJAMT)

Machine Learning Models for Industrial Applications (Feb 2021)
Enislay Ramentol , Tomas Olsson, Shaibal Barua
AI and Learning Systems - Industrial Applications and Future Directions (intechopen)