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Ivo D. Dinov

Professor · School of Nursing · University of Michigan-Ann Arbor

Quick answer: Ivo D. Dinov is Professor at University of Michigan-Ann Arbor. Ivo D. Dinov shows an active PhD hiring signal as of 2026-09-11.

⭐ Ivo Dinov is accepting new PhD students.

Research interests

Spacekime and predictive healthcare analytics Foundational and generative artificial intelligence modeling (GAIM) Teaching with technology and blended instruction Biomedical data science, computational neuroscience, informatics and augmented intelligence Mathematical-physics modeling and statistical inference

Selected publications (since 2023)

Dinov, ID. (2025) Back to the future – from nuclear energy to AI, AI Perspectives & Advances, 7(2), DOI: 10.1186/s42467-025-00017-y. Niraula, D., Cuneo, K.C.,Dinov, ID, Gonzalez, BD, Jamaluddin, JB, Jin, JJ, Luo, Y, Matuszak, MM, Haken, RKT, Bryant, AK, Dilling, TJ, Dykstra, MP, Frakes, JM, Liveringhouse, CL, Miller, SR, Mills, MN, Palm, RF, Regan, SN, Rishi, A, Torres-Roca, JF, Yu, HHM, El Naqa, I. (2025) Intricacies of human–AI interaction in dynamic decision-making for precision oncology, Nature Communications, 16(1138), DOI: 10.1038/s41467-024-55259-x. Dinov, ID. (2023). Data Science and Predictive Analytics: Biomedical and Health Applications using R, 2nd edition, Springer Series in Applied Machine Learning, ISBN 978-3-031-17482-7. Ottom, MA, Abdul Rahman, H, Alazzam, IM and Dinov, ID

Frequently asked questions

Is Ivo D. Dinov hiring PhD students at University of Michigan-Ann Arbor?
Yes. As of 2026-09-11, Ivo D. Dinov's faculty page shows a PhD hiring signal: Ivo Dinov is accepting new PhD students..
What does Ivo D. Dinov research?
Spacekime and predictive healthcare analytics Foundational and generative artificial intelligence modeling (GAIM) Teaching with technology and blended instruction Biomedical data science, computational neuroscience, informatics and augmented intelligence Mathematical-physics modeling and statistical

Data last updated: 2026-09-11 · Source: phd-match.com faculty database.

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