April 22, 2024, we held an IER Special Seminar.
＜Dr. Piotr KOPKA＞
| Date & Time | Mon. April 22, 2024, 13:30-14:45 JST | |||||
| Venue | 6F Conference room, Main Bldg. IER/Online (Zoom) | |||||
| Speakers | Dr. Piotr KOPKA, Assistant Professor at NCBJ International Visiting Scholar at IER | |||||
| Lecture Titles | Estimating radionuclide releases using probabilistic models and machine learning algorithms: An example of the inverse problem for the October 2017 release of 106Ru. | |||||
On April 22, 2024, a special seminar was held at IER featuring Dr. Piotr Kopka, an international visiting scholar at IER and Assistant Professor at the National Centre for Nuclear Research, Laboratory for Nuclear Energy and Environmental Analyses (NCBJ) in Poland. A total of 22 participants, including IER graduate students as well as IER faculty members, attended the seminar, some of whom participated online.
Dr. Kopka discussed the research conducted at NCBJ, his academic and scientific achievements in JRODOS, and motivation for the radionuclide source term estimation. He presented the use of Machine Learning with Bayesian statistics, his research findings on the most likely source area and timing of the released radioactive 106Ru measured across Europe in September-October 2017, and compared the use of deterministic dispersion and stochastic machine learning models.
After the presentation, several IER faculty members asked questions commenting on interesting research results for a comparison with previously published studies on 106Ru release in Europe. Dr. Kopka outlined his research plan at IER to focus on anthropogenic tritium releases in Fukushima.
