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Talk:Ivo D. Dinov

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Subject Notability

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This draft biography page of a living person, academic scholar Draft:Ivo_D._Dinov, relies on the following main contributions and acknowledgements to meet the notability requirements:

  • Criterion #3: The person has been an elected member of a highly selective and prestigious scholarly society or association (e.g., a National Academy of Sciences or the Royal Society) or a fellow of a major scholarly society which reserves fellow status as a highly selective honor (e.g., Fellow of the Institute of Electrical and Electronics Engineers or Honorary Fellow of the Institute of Physics).
The scholar is an honorary member (fellow) of the Sigma Theta Tau International Society[1], and an elected member (equivalent to fellow) of the International Statistical Institute (ISI).
  • Criterion #5: The person has held a distinguished professor appointment at a major institution of higher education and research, a named chair appointment that indicates a comparable level of achievement, or an equivalent position in countries where named chairs are uncommon.
The scholar is a named professor and chair, the University of Michigan Henry Philip Tappan Collegiate Professor [2].

VodnaTopka (talk) 17:02, 1 August 2024 (UTC) VodnaTopka (talk) 17:02, 1 August 2024 (UTC)[reply]

  1. ^ "Sigma Theta Tau International Society". STTI. sigmanursing.org. Retrieved July 30, 2024.
  2. ^ "Henry P. Tappan Collegiate Professor". umich.edu. Retrieved July 30, 2024.
  3. ^ "Dinov's GoogleScholar Profile". Retrieved July 30, 2024.
  4. ^ Dinov, Ivo (2018). Data Science and Predictive Analytics: Biomedical and Health Applications Using R. Springer. doi:10.1007/978-3-319-72347-1. ISBN 978-3-319-72346-4.
  5. ^ Dinov, Ivo (2023). Data Science and Predictive Analytics: Biomedical and Health Applications Using R. The Springer Series in Applied Machine Learning. Springer. doi:10.1007/978-3-031-17483-4. ISBN 978-3-031-17482-7. S2CID 256875731.
  6. ^ Dinov, Ivo; Velev, Milen (2021). Data Science - Time Complexity, Inferential Uncertainty, and Spacekime Analytics. Boston/Berlin: De Gruyter. doi:10.1515/9783110697827. ISBN 9783110697803.