In case you are interested in following my research, work and other activities you may follow the links below
- LinkedIn – www.linkedin.com/in/jakub-skrzyński-899b64302
- ORCID – https://orcid.org/0009-0008-4550-5009
- AGH Author database – https://badap.agh.edu.pl/autor/skrzynski-jakub-064792
- Coursera – https://www.coursera.org/user/75598b713bd65fff47d2ae482405a898
- Credly – https://www.credly.com/users/jakub-skrzynski
- Google Scholar – https://scholar.google.com/citations?user=mVB_nbEAAAAJ
- Me at AGH – https://skos.agh.edu.pl/osoba/jakub-skrzynski-11147.html
- Me in official polish registers:
(ludzie.nauka.gov.pl is polish governmental website containing information on people working as scientists; POL-on is national register of data on higher education and science managed by the Ministry of Science and Higher Education; The RAD-on system is a part of the Integrated Network of Information on Science and Higher Education, which is the biggest, in terms of the scope of collected data, public system in Poland supporting the Ministry of Science and Higher Education and other state agencies in shaping the scientific policy.)
In case you are interested in my articles, please find the list of publicly available pdfs below:
- Enhancing Grammatical Evolution with Neural-Inspired CFG for Explainable AI (Currently in publication process – available soon via Springer Link https://link.springer.com/book/9783032041968, if you are interested in the topic please contact me)
- Multi-agent simulation of financial markets: micro and macro approach (Awaiting publication in PP-RAI’25 proceedings via University of Silesia, if you are interested in the topic please contact me)
- Efficient Pruning and Compression Techniques for Convolutional Neural Networks to Preserve Knowledge and Optimize Performance (currently available only via Springer Link behind the paywall, if you are interested in the topic please contact me)
- Model Discovery with Grammatical Evolution. An Experiment with Prime Numbers (Originally published on PP-RAI’24; ISBN: 978-83-8156-696-4; Now also on arxiv)