Sania is a multidisciplinary-oriented by education and experience, she has been exposed to a number of diverse working environments and academia in the field of Artificial Intelligence and Mechateronics.Holding a master degree in Mechatronics and study basic of mechanic engineering and electrical engineering broaden her horizon to to continuously extend her knowledge and develop novel methods and apply them to solve real world problems.Currently, she is following his research interests as a Ph.D. candidate in Mälardalens University (MDH) and as a researcher in the Sigma Technology.
Her main research subject is focused on the concept of smart-troubleshooting to enable higher resilience and possibly self-healing in connected Cyber-Physical Systems (CPS) within the Industrial Internet of Things (IIoT), “Troubleshooting as a Service” (TaaS).
Leveraging GANs to Generate Synthetic Log Files for Smart-Troubleshooting in Industry 4.0 (Aug 2024) Sania Partovian, Francesco Flammini, Alessio Bucaioni
Analysis of log files to enable smart-troubleshooting in Industry 4.0: a systematic mapping study (Dec 2023) Sania Partovian, Alessio Bucaioni, Francesco Flammini, Johan Thornadtsson Journal of IEEE Access (IEEE-Access)