Ivo D. Dinov Explained

Ivo D. Dinov
Birth Name:	Ivaylo D. Dinov
Birth Place:	Sofia, Bulgaria
Birth Date:	1968
Nationality:	Bulgarian, American
Fields:	statistics, mathematics, neuroscience, artificial intelligence
Workplaces:	University of Michigan University of California, Los Angeles
Education:	Florida State University (PhD, MS) Michigan Technological University (MS) Sofia University (BS)
Doctoral Advisor:	De Witt Sumners, Fred William Huffer
Thesis Title:	Mathematical and statistical techniques for modeling and analysis of medical data
Thesis Url:	https://fsu-flvc.primo.exlibrisgroup.com/permalink/01FALSC_FSU/pag4dr/alma990256821810306576
Thesis Year:	1998

Ivaylo (Ivo) D. Dinov (Bulgarian: Ивайло Д. Динов) is a mathematical statistician, data scientist, and computational neuroscientist,^[1] who is the Henry Philip Tappan collegiate professor at the University of Michigan.^[2] He is a co-developer of the 5D spacekime model, a new technique for complex time (kime) representation, modeling, and analysis of repeated measurement longitudinal processes.^[3] Dinov is the author of the Data Science and Predictive Analytics (DSPA) book and has published significantly on a wide range of topics, including mathematical modeling, computational statistics, data science, neuroscience, applied statistics, and generative artificial intelligence models (GAIMs).^{[4] [5]}

Education

In 1991, Dinov completed his undergraduate study in mathematics and informatics from Sofia University in Bulgaria. Under the supervision of Kenneth L. Kuttler, he wrote a master's thesis entitled "Bochner Integrals and vector measures" and received his MS in pure mathematics in 1993 from Michigan Technological University^[6] Advised by De Witt Sumners and Fred William Huffer,^[7] Dinov completed his MS in statistics and PhD in mathematics degrees at the Florida State University. His doctoral dissertation was on "Mathematical and statistical techniques for modeling and analysis of medical data".^[8]

Subsequently, Dinov was a postdoctoral fellow at the University of California, Los Angeles (UCLA). During his postdoctoral training at UCLA he received a T32 fellowship in neuroimaging and brain mapping, as part of the UCLA Institutional National Research Service Award. ^[9]

Academic career

Between 2001 and 2013, Dinov was a faculty in the departments of statistics and neurology at UCLA. In 2002, he founded the Statistics Online Computational Resource (SOCR).^{[10] [11] [12]}

In 2013, Dinov joined the faculty at the University of Michigan, where he has been serving in multiple academic leadership roles, including department chair, associate director of the Michigan Institute for Data Science,^[13] and chair of various University of Michigan faculty senate committees.^[14]

Dinov is an active member in several professional societies, including the American Statistical Association (ASA), International Association for Statistical Education (IASE), American Mathematical Society (AMS), American Physical Society (APS), and an honorary member (fellow) of the Sigma Theta Tau International Society^[15] and American Association for the Advancement of Science (AAAS). He is an elected member of the International Statistical Institute (ISI).^[16]

Publications

Some of Dinov's selected publications^{[17] [18]} include the following:

• Data Science and Predictive Analytics book,^{[19] [20]} which has received multiple expert reviews and its editions in various digital, paperback, and hardcover formats have been read by over six million readers.^[21]
• The Data Science: Time Complexity, Inferential Uncertainty, and Spacekime Analytics book^[22] covers a wide range of topics including motivation for doing data science, characteristics of big datasets, artificial intelligence concepts and tools, neuroimaging genetics, climate change, problems with time, definition of Kime, economic forecasting, wave functions, definition and properties of operators, Fourier transforms, Kaluza-Klein theory, contravariance, velocity, Schrodinger equation, Lorenz transformation, Heisenberg's uncertainty principles, spacekime analytics, linear modelling using tensors, inferential uncertainty, and information theoretic versus data science formulations.^[23]
• The article Methodological challenges and analytic opportunities for modeling and interpreting big healthcare data identified multiple scientific gaps and proposed novel modeling methods for complex healthcare data including heterogeneous imaging, genetic, clinical and phenotypic data elements.^[24]

Personal life

In 2022, as coach of the University of Michigan Men's Water Polo,^[25] Dinov led the Michigan Wolverines to a Big Ten Division title and was recognized as the "2022 Big Ten Division Men's Water Polo Coach of the Year".^[26]

External links

• • Michigan Experts Profile
• SOCR Profile

Notes and References

1. Web site: ORCID Profile: Ivo Dinov . orcid.org . July 30, 2024.
2. Web site: Henry P. Tappan Collegiate Professor . umich.edu . July 30, 2024.
3. Book: Dinov . Ivo . Velev . Milen . 2021 . Data Science - Time Complexity, Inferential Uncertainty, and Spacekime Analytics . Boston/Berlin . De Gruyter . 9783110697803 . 10.1515/9783110697827 .
4. Web site: Dinov's GoogleScholar Profile . July 30, 2024.
5. Web site: Dinov's Michigan Experts Profile . umich.edu . July 30, 2024.
6. Dinov . I.D. . 1993 . Bochner Integrals and Vector Measures . 10.37099/mtu.dc.etdr/919 . July 30, 2024 . MTU . mtu.edu . en.
7. Web site: Mathematics Genealogy . July 30, 2024 . nodak.edu . en.
8. Web site: Dinov . I.D. . 1998 . Mathematical and statistical techniques for modeling and analysis of medical data . July 30, 2024 . FSU . lib.fsu.edu . en.
9. Web site: Toga . AW . UCLA T32 Training Program in Neuroimaging (MH019950) . August 1, 2024 . NIH . nih.gov . en.
10. Leslie . Mitch . 2022 . EDUCATION: Statistics Starter Kit . Science . 302 . 5651 . 1635 . 10.1126/science.302.5651.1635c .
11. Web site: SOCR . July 30, 2024 . University of Michigan . umich.edu . en.
12. Web site: SOCR Team . July 30, 2024 . University of California, Los Angeles . ucla.edu . en.
13. Web site: MIDAS AD . July 30, 2024 . University of Michigan . umich.edu . en.
14. Web site: UM Faculty Senate . July 30, 2024 . University of Michigan . 17 March 2020 . umich.edu . en.
15. Web site: Sigma Theta Tau International Society . July 30, 2024 . STTI . sigmanursing.org . en.
16. Web site: Dinov's Bio . July 30, 2024 . University of Michigan . umich.edu . en.
17. Web site: Dinov's GoogleScholar Profile . July 30, 2024.
18. Web site: Dinov's Michigan Experts Profile . umich.edu . July 30, 2024.
19. Book: Dinov. Ivo. 2018 . Data Science and Predictive Analytics: Biomedical and Health Applications Using R . 10.1007/978-3-319-72347-1 . Springer. 978-3-319-72346-4.
20. Book: Dinov. Ivo. 2023 . Data Science and Predictive Analytics: Biomedical and Health Applications Using R . The Springer Series in Applied Machine Learning . Springer . 10.1007/978-3-031-17483-4. 978-3-031-17482-7. 256875731.
21. Book: DSPA Downloads . 10.1007/978-3-319-72347-1 . July 30, 2024 . 2018 . Springer . en . Dinov . Ivo D. . 978-3-319-72346-4 .
22. Book: Dinov. Ivo . Velev. Milen . 2021 . Data Science: Time Complexity, Inferential Uncertainty, and Spacekime Analytics . 10.1515/9783110697827 . De Gruyter STEM Series. 978-3-11-069782-7 .
23. Shanmugam . Ramalingam . Book Review: Data science: time complexity, inferential uncertainty, and spacekime analytics . 10.1080/00949655.2022.2096228 . Journal of Statistical Computation and Simulation . 2022 . 93. 1. 209–210.
24. Dinov . Ivo . Methodological challenges and analytic opportunities for modeling and interpreting Big Healthcare Data. 10.1186/s13742-016-0117-6 . GigaScience . 2016 . 5. 12. 12 . free . 26918190 . 4766610 .
25. Web site: Michigan Men's Water Polo . July 30, 2024 . University of Michigan . umich.edu . en.
26. Web site: 2022 Big-10 Collegiate Water Polo . July 30, 2024 . Collegiate Water Polo. collegiatewaterpolo.org . en.