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      University of Skövde, link to startpage

      Juhee Bae

      Senior Lecturer in Informatics
      School of Informatics
      Room PA520J

      Research

      2024

      John O. R. Aoga, Juhee Bae, Stefanija Veljanoska, Siegfried Nijssen, Pierre Schaus

      Operations Research Forum

      2024. Article. https://doi.org/10.1007/s43069-023-00271-y

      Yongkuk Jeong, Erik Flores-García, Juhee Bae, Magnus Wiktorsson

      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/ATDE240202 Open Access

      2022

      Niclas Ståhl, Gunnar Mathiason, Juhee Bae

      Distributed Computing and Artificial Intelligence, Volume 1: 18th International Conference

      2022. Conference paper. https://doi.org/10.1007/978-3-030-86261-9_7

      2021

      Juhee Bae, Gunnar Mathiason, Yurong Li, Niklas Kojola, Niclas Ståhl

      IEIM 2021: The 2nd International Conference on Industrial Engineering and Industrial Management

      2021. Conference paper. https://doi.org/10.1145/3447432.3447435

      2020

      Juhee Bae, John Aoga

      ICVISP 2020: Proceedings of the 2020 4th International Conference on Vision, Image and Signal Processing

      2020. Conference paper. https://doi.org/10.1145/3448823.3448883

      Juhee Bae, Tove Helldin, Maria Riveiro, Slawomir Nowaczyk, Mohamed-Rafik Bouguelia, Göran Falkman

      ACM Computing Surveys

      2020. Article. https://doi.org/10.1145/3340960 Open Access

      Juhee Bae, Yurong Li, Niclas Ståhl, Gunnar Mathiason, Niklas Kojola

      Metallurgical and materials transactions. B, process metallurgy and materials processing science

      2020. Article. https://doi.org/10.1007/s11663-020-01853-5 Open Access

      2019

      Juhee Bae, Göran Falkman, Tove Helldin, Maria Riveiro

      Data science in Practice

      2019. Chapter in book. https://doi.org/10.1007/978-3-319-97556-6_8

      Juhee Bae, Jesper Havsol, Martin Karpefors, Alexander Karlsson, Gunnar Mathiason

      Proceedings - 6th International Symposium on Computational and Business Intelligence, ISCBI 2018

      2019. Conference paper. https://doi.org/10.1109/ISCBI.2018.00027

      Juhee Bae, Alexander Karlsson, Jonas Mellin, Niclas Ståhl, Vicenç Torra

      Data science in Practice

      2019. Chapter in book. https://doi.org/10.1007/978-3-319-97556-6_9

      Finished projects

      Can AI streamline the iron and steel industry?

      The iron and steel industry needs to be streamlined and the amount of scrap reduced to increase returns. What is required is a faster and more reliable production with stricter tolerances – then better products are created that reach the customer faster. This project, INSITE-X, will develop an AI-based prototype for detailed simulation of dynamic production-behaviour of critical machines, to increase process understanding and control.

      March 2021 - February 2024 Informatics

      STRATUS – AI for climate adaption

      This project aims to identify, adjust and implement AI methods to improve and create a more resilient drinking water production and distribution, where the operators at the drinking water plants are supported in their decision making processes.

      November 2021 - November 2023 Informatics

      Swedish Metal

      The project will create new values for the Swedish metal industry. This will be done through the use and development of recent data analysis techniques. By doing so, one will find currently hidden relationships between known and unknown process parameters and the resulting product quality.

      October 2018 - October 2021 Informatics

      Understanding Human Migration

      The complex interactions among socio-demographic, climatic, economic environments, and possibly legal/institutional situations involve many factors that can influence patterns of population dynamics. In this project, we plan to resolve the limitation of machine learning by providing an explainable predictive model that allows users to try out ‘what-if’ scenarios by adding interactive input at a specific point in the time-series.

      October 2019 - October 2020 Informatics

      A smarter society through Big Data analytics

      An unprecedented growth of data, fed by novel technologies, user behaviour and business models, is one of the most dramatic and important developments in both ICT and society at large. Most of this is Big Data, characterised by vast volume, high velocity, large variety and unknown veracity. These properties pose significant challenges when collecting, managing and processing data.

      January 2015 - January 2020 Informatics
      Published: 1/9/2020
      Edited: 1/9/2020
      Responsible: webmaster@his.se