Sunith Bandaru
Professor of Industrial Engineering
School of Engineering Science
Room PA210S
Administrative Roles
- Subject Coordinator for Informatics at Research Level - Since 2020
- Chair, Educational Committee for Research Education - Since 2020
- Subject Representative for Virtual Product Realization - 2017-2019
- Member, Educational Committee for School of Engineering - 2017-2019
- Program Manager for M.Sc. Industrial Systems Engineering - 2016-2018
Teaching (Course Leader/Lecturer)
- VP732A: Optimization Methods for Industry - Since 2020
- VP727A: Research Methodology and Communication - Since 2019
- VP720A: Master Degree Project in Virtual Product Realization - Since 2019
- IT708A: Research Methodology and Communication in IT - Since 2018
- AU729A: Dissertation in Automation Engineering - Since 2018
- VP702A: Computational Intelligence - Since 2015
- IT917F: Industrial Optimization and Decision Analysis - Since 2014
- AU718A: Artificial Intelligence for Industrial Applications, 2014-2016
Research
Publications
Projects
2025
Engineering applications of artificial intelligence
2025. Article.
https://doi.org/10.1016/j.engappai.2025.110740
IEEE Access
2025. Article, review.
https://doi.org/10.1109/ACCESS.2025.3596632
2024
Proceedings of the 2024 Winter Simulation Conference
2024. Conference paper. https://doi.org/10.1109/WSC63780.2024.10838867
Condition Monitoring of a Machine Tool Ballscrew Using Wavelet Transform based Unsupervised Learning
Procedia CIRP
2024. Article.
https://doi.org/10.1016/j.procir.2024.10.098
Applied Sciences
2024. Article.
https://doi.org/10.3390/app142210736
Sustainable Production through Advanced Manufacturing, Intelligent Automation and Work Integrated Learning: Proceedings of the 11th Swedish Production Symposium (SPS2024)
2024. Conference paper.
https://doi.org/10.3233/ATDE240189
IEEE Transactions on Evolutionary Computation
2024. Article.
https://doi.org/10.1109/TEVC.2023.3272953
IEEE Computational Intelligence Magazine
2024. Article. https://doi.org/10.1109/MCI.2024.3401420
2023
Journal of manufacturing systems
2023. Article.
https://doi.org/10.1016/j.jmsy.2022.11.016
European Journal of Operational Research
2023. Article.
https://doi.org/10.1016/j.ejor.2022.09.008
2022
2021
2020
2019
2018
2017
2016
2015
2014
Ongoing projects
LITMUS: Enabling the Transition from Industry 4.0 to Industry 5.0
In the LITMUS project, researchers are exploring how companies can transition from today’s Industry 4.0 to the new Industry 5.0 by smartly utilizing their existing technologies. The goal is to combine efficient production with improved economic, social, and environmental sustainability.
September 2024 - August 2028 Virtual EngineeringVirtual Factories of the Future
Virtual factories with knowledge-driven optimization (VF-KDO) is an eight-year research profile that is being coordinated by the University of Skövde. Research within this profile aims to help strengthen the competitiveness of Swedish industry.
October 2018 - September 2026 Virtual EngineeringAlliance of European Universities
The INGENIUM European University is an ambitious Alliance that brings together ten Universities from ten EU Member States, supported by a large group of associate organisations, ranging from regional and local governments to industry and civil society groups.
January 2023 - January 2026Trustworthy Predictive Maintenance
The project aims to gradually develop and test new software solutions in collaboration with those working in the production environment. By involving operators and experts actively in the development process, both their understanding and trust in the predictions made by the systems increase, something that in turn can lead to better decision-making and more accurate maintenance work.
September 2022 - September 2025 Informatics,Virtual EngineeringFinished projects
Predictive Maintenance with Internet-of-Things and Digital Twins
Predictive maintenance is one of the major thrust areas for many global manufacturing companies. Artificial intelligence, big data analytics and industrial internet of things (IoT) have already shown great potential in the area of maintenance. However, as more companies adopt these technologies, several key challenges have emerged hindering the progress towards complete digitalization of maintenance operations.
December 2021 - November 2024 Virtual EngineeringTOPAZ – Interpreting industry data to optimize production
With all the data acquired during a day of production, the possibilities for improvement are endless. All you need to do is find a way of interpreting the data. TOPAZ aims to investigate how a combination of data mining, machine learning and optimization can aid manufacturing companies. This will be done by transforming heterogeneous data derived from multiple sources, and potentially from different part of the value chain, into prescriptive actions that support long-term goals of profitability, sustainability and stability.
April 2020 - March 2023 Virtual Engineering