Jean-Paul Ivan
Position: Doctoral Student School/office: School of Science and TechnologyEmail: amVhbi1wYXVsLml2YW47b3J1LnNl
Phone: No number available
Room: T1210
Research subject
Research environments
About Jean-Paul Ivan
Jean-Paul is a Ph.D. student funded by the WASP research program. He primarily studies how models called Gaussian processes can use expert and domain knowledge to create reliable probabilistic systems that can be adapted over time.
Research groups
Publications
Articles in journals |
Conference papers |
Articles in journals
- Shenk, A. , Ivan, J. A. , Schwede, S. & Odlare, M. (2022). Analysis of Influencing Characteristics of Biochars for Ammonium Adsorption. Applied Sciences, 12 (19). [BibTeX]
- Ivan, J. A. , Stoyanov, T. & Stork, J. A. (2022). Online Distance Field Priors for Gaussian Process Implicit Surfaces. IEEE Robotics and Automation Letters, 7 (4), 8996-9003. [BibTeX]
Conference papers
- Marais, H. L. , Zaccaria, V. , Ivan, J. A. & Nordlander, E. (2021). Detectability of Fault Signatures in a Wastewater Treatment Process. In: Esko Juuso; Bernt Lie; Erik Dahlquist; Jari Ruuska, Proceedings of The First SIMS EUROSIM Conference on Modelling and Simulation, SIMS EUROSIM 2021, and 62nd International Conference of Scandinavian Simulation Society, SIMS 2021. Paper presented at The First SIMS EUROSIM Conference on Modelling and Simulation, SIMS EUROSIM 2021, and 62nd International Conference of Scandinavian Simulation Society (SIMS 2021), Virtual Conference, Finland, September 21-23, 2021. (pp. 418-423). Scandinavian Simulation Society and Linköping University Electronic Press. [BibTeX]