Jim Ahlstrand
Industrial Doctoral Student
Department of Computer Science
Room J3116, Karlskrona
Research domain: Computer Science
Jim is a PhD student in computer science at Blekinge Institute of Technology. Research areas of interest are, applied artificial intelligence, machine learning, customer journey and experience, expert systems and decision science.
Latest publications
- Jim Ahlstrand, "Artificial Intelligence for Enhanced B2B Customer Lifecycle Management in Telecommunications", Blekinge Institute of Technology Licentiate Dissertation Series, ISSN 1650-2140, Blekinge Tekniska Högskola, 2025
- Jim Ahlstrand, Anton Borg, Håkan Grahn, Martin Boldt, "Using Transformers for B2B Contractual Churn Prediction Based on Customer Behavior Data", International Conference on Enterprise Information Systems, ICEIS - Proceedings, EISSN 2184-4992, pp. 562-571, SciTePress, 2025
- Jim Ahlstrand, Martin Boldt, Anton Borg, Håkan Grahn, "Predicting B2B Customer Churn using a Time Series Approach", 2024 5th International Conference on Intelligent Data Science Technologies and Applications, IDSTA 2024, pp. 44-51, Institute of Electrical and Electronics Engineers (IEEE), 2024
- Jim Ahlstrand, Martin Boldt, Anton Borg, Håkan Grahn, "Preliminary Results on the use of Artificial Intelligence for Managing Customer Life Cycles", 35th Annual Workshop of the Swedish Artificial Intelligence Society SAIS 2023, ISSN 1650-3686, EISSN 1650-3740, pp. 68-76, Linköping University Electronic Press, 2023
Current projects
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Completed projects
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