| Submission declined on 28 April 2024 by Ldm1954 (talk). This submission's references do not show that the subject qualifies for a Wikipedia article—that is, they do not show significant coverage (not just passing mentions) about the subject in published, reliable, secondary sources that are independent of the subject (see the guidelines on the notability of people). Before any resubmission, additional references meeting these criteria should be added (see technical help and learn about mistakes to avoid when addressing this issue). If no additional references exist, the subject is not suitable for Wikipedia.
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| Submission declined on 12 April 2024 by KylieTastic (talk). This submission's references do not show that the subject qualifies for a Wikipedia article—that is, they do not show significant coverage (not just passing mentions) about the subject in published, reliable, secondary sources that are independent of the subject (see the guidelines on the notability of people). Before any resubmission, additional references meeting these criteria should be added (see technical help and learn about mistakes to avoid when addressing this issue). If no additional references exist, the subject is not suitable for Wikipedia. | |
Comment: Far, far more is needed to establish notability for academics, please read WP:NPROF. If you continue to submit I expect the article to be rejected with no option to resubmit. Ldm1954 (talk) 23:36, 28 April 2024 (UTC)
Hrvoje Kukina (born 1991) is a Croatian computer scientist, applied mathematician, and quantum physicist. He is a PhD candidate in mathematics, and his work and research focus on the intersection between quantum computing and machine learning. He hosts the Quantum AI Podcast.[1], which he founded at the University of Oxford, and serves as the president and founder of the Cambridge University Quantum Association[2]. His other interests include decoding the universe/theory of everything, consciousness, and the intersection between science and religion.
As a PhD candidate at TU Wien[3], Austria, Hrvoje's specializing in applied mathematics, particularly in quantum reinforcement learning. At TU Wien, his research primarily focuses on applying reinforcement learning to medicine (optimal treatment for sepsis patients)[4].
As a PhD researcher at MIT Computer Science & Artificial Intelligence Laboratory, Hrvoje is working on quantum machine learning, the computational complexity of quantum chemistry algorithms, progress in quantum algorithms, and the application of quantum algorithms to unstructured search problems, particularly in analyzing specific DNA sequences within large genomes[5].
He is also a research collaborator and a former visiting PhD student at the University of Cambridge, UK (Faculty of Mathematics, Department of Applied Mathematics and Theoretical Physics and Isaac Newton Institute[6]), where he worked on developing new hybrid quantum-classical model-free and model-based reinforcement learning algorithms and their computational complexity.
Additionally, he was a recognized PhD student at the University of Oxford, UK, where he worked on his PhD thesis. Hrvoje conducted research in the Engineering Science department and at Magdalen College, focusing on deep reinforcement learning for quantum device control[7]
Hrvoje is an incoming visiting fellow at Harvard University, Department of Physics, where he will be working on quantum machine learning.
References edit
- ^ Vlatko Vedral: Quantum Physics, Theory of Everything, Universe, Black Holes | Quantum AI Podcast #1. Retrieved 2024-04-21 – via www.youtube.com.
- ^ "Cambridge University Quantum Association". www.cambridgesu.co.uk. Retrieved 2024-04-21.
- ^ "Technische Universität Wien, TUW | TU Wien". www.tuwien.at. Retrieved 2024-04-21.
- ^ Böck, Markus; Malle, Julien; Pasterk, Daniel; Kukina, Hrvoje; Hasani, Ramin; Heitzinger, Clemens (2022-11-03). "Superhuman performance on sepsis MIMIC-III data by distributional reinforcement learning". PLOS ONE. 17 (11): e0275358. Bibcode:2022PLoSO..1775358B. doi:10.1371/journal.pone.0275358. ISSN 1932-6203. PMC 9632869. PMID 36327195.
- ^ "FutureTech". futuretech.mit.edu. Retrieved 2024-04-21.
- ^ "Mathematics of deep learning". Isaac Newton Institute. 2021-02-25. Retrieved 2024-04-21.
- ^ "New Quantum AI Podcast Launched". www.oqi.ox.ac.uk. Retrieved 2024-04-21.