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:

  • Artificial Intelligence & Machine Learning
  • Explainable AI
  • Statistical Learning Theory
  • Data Analytics
  • Signal Processing and Multi-sensor Data Fusion

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Latest publications:

ENHANCING EXPLAINABILITY, ROBUSTNESS, AND AUTONOMY: A COMPREHENSIVE APPROACH IN TRUSTWORTHY AI (May 2025)
Mobyen Uddin Ahmed, Shahina Begum, Shaibal Barua, Abu Naser Masud, Gianluca Di Flumeri , Nicolò Navarin
IEEE Symposium on Explainable, Responsible, and Trustworthy CI (IEEE CITREx)

In-Depth Analysis of Diverse Driver Behaviors using Hybrid Multimodal Machine Learning (Mar 2025)
Mera Abudiab , Francisco Javier Pérez Núñez , Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Arnab Barua
International Conference on Computer and Information Technology (ICCIT)

Role of Multi-modal Machine Learning, Explainable AI and Human-AI Teaming in Trusted Intelligent Systems for Remote Digital Towers (Jan 2025)
Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Waleed Reafee Sbu Jmoona, Ricky Stanley D Cruze , Alexandre Veyrie , Christophe Hurter
7th Artificial Intelligence and Cloud Computing Conference (AICCC2024)

Trust_Gen_Z: Trustworthy Generative AI for Advanced Industrial DigitaliZation (Oct 2024)
Shahina Begum, Shaibal Barua, Mobyen Uddin Ahmed
7th Artificial Intelligence and Cloud Computing Conference (AICCC2024)

Research Issues and Challenges in the Computational Development of Trustworthy AI (Aug 2024)
Shahina Begum, Mobyen Uddin Ahmed, Shaibal Barua, Md Alamgir Kabir
IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET 2024)

Balancing Fairness: Unveiling the Potential of SMOTE-Driven Oversampling in AI Model Enhancement (May 2024)
Md Alamgir Kabir , Mobyen Uddin Ahmed, Shahina Begum, Shaibal Barua, Md Rakibul Islam
International Conference on Machine Learning Technologies (ICMLT)

Project TitleStatus
ARTIMATION :TRANSPARENT ARTIFICIAL INTELLIGENCE AND AUTOMATION TO AIR TRAFFIC MANAGEMENT SYSTEMS finished
AUTOMAD:AUTOnomous Decision Making in Industry 4.0 using MAchine Learning and Data Analytics finished
BRAINSAFEDRIVE: A Technology to detect Mental States During Drive for improving the Safety of the road finished
DIGICOGS:DIGital Twins for Industrial COGnitive Systems through Industry 4.0 and Artificial Intelligence finished
Embedded Sensor Systems for Health Plus finished
ESS-H - Embedded Sensor Systems for Health Research Profile finished
FitDrive: Monitoring devices for overall FITness of DRIVErs active
Food4Health: A Personalized System for Adaptive Mealtime Situations for Elderly finished
HIVEMIND:Human-centred collaboratIVE MultI-ageNt framework for accelerating software Development and maintenance active
MONITOR: A Data-driven Intelligent MONITORring System to Improve Quality of Working Life active
PREST:Predictive Strategy using Machine Learning for Smart Test Case Selection active
PROMPT - Professional Master’s in Software Engineering (step II, phase B&C) finished
SafeDriver: A Real Time Driver's State Monitoring and Prediction System finished
SimuSafe : Simulator of Behavioural Aspects for Safer Transport finished
TRUSTY: TRUSTWORTHY INTELLIGENT SYSTEM FOR REMOTE DIGITAL TOWER active
Trust_Gen_Z:Trustworthy Generative AI for Advanced Industrial DigitaliZation active
VDM - Vehicle Driver Monitoring finished
Xbest: Generative AI towards Inference to the Best Explanation active
PhD students supervised as assistant supervisor:

Md Mohsin Kabir
Tahira Salwa Rabbi Nishat