Arnab Barua is a Doctoral Student working as a member of the Artificial Intelligence and Intelligent Systems group in the Computer Science and Software Engineering division. His research interest includes Multimodal Machine Learning, Deep Learning, Image Processing and Healthcare applications involving Artificial Intelligence.
He completed his master's degree in Computer Science and Technology from Xidian University, China, in 2020 and bachelor degree in Computer Science and Technology from International Islamic University Chittagong, Bangladesh, in 2015.
Before his doctoral studies, Arnab Barua joined as a research engineer at the KIOS Research & Innovation Center of Excellence at the University of Cyprus. He also worked as a software engineer at Subra Systems Limited.
Arnab Barua has been involved in AI and Machine Learning related research and development since 2017. His research focuses on developing intelligent systems in medical and industrial applications using multimodal machine learning and reasoning.
He was involved in a Chinese national funded project during his master’s study and worked in the state key laboratory of Xidian University where he was responsible for developing “Intelligent RF Sensing System for Human Activity and Health Prediction.”
At the KIOS Research & Innovation Center of Excellence, he has been involved in the European Union funded project named CARAMEL, where he researched artificial intelligence-based cybersecurity for connected and automated vehicles.
Neurophysiological mental fatigue assessment for developing usercentred Artificial Intelligence as a solution for autonomous driving (Nov 2023) Andrea Giorgi , Vincenzo Ronca , Alessia Vozzi , Pietro Aricò , Gianluca Borghini , Rossella Capotorto , Luca Tamborra , Ilaria Simonetti , Simone Sportiello , Marco Petrelli , Carlo Polidori , Rodrigo Varga , Marteyn van Gasteren , Arnab Barua, Mobyen Uddin Ahmed, Fabio Babiloni , Gianluca Di Flumeri Frontiers in Neurorobotics (Front Neurorobot)
Multi-scale Data Fusion and Machine Learning for Vehicle Manoeuvre Classification (Nov 2023) Arnab Barua, Mobyen Uddin Ahmed, Shahina Begum IEEE International Conference on System Engineering and Technology (ICSET2023)
A Systematic Literature Review on Multimodal Machine Learning: Applications, Challenges, Gaps and Future Directions (Mar 2023) Arnab Barua, Mobyen Uddin Ahmed, Shahina Begum Journal of IEEE Access (IEEE-Access)
|FitDrive: Monitoring devices for overall FITness of DRIVErs||active|