Mathematical representations of big data, spacekime analytics, computational statistics, , longitudinal morphometric studies of development (e.g., Autism, Schizophrenia), maturation (e.g., depression, pain) and aging (e.g., Alzheimer’s disease, Parkinson’s disease). Developing, validating, and disseminating novel methods (e.g., spacekime analytics) and technologies (e.g., CBDA, DataSifter, TCIU) for mathematical modeling, statistical computing, biomedical applications, scientific education, and active learning.
Ivo Dinov
Affiliations: Computational Medicine and Bioinformatics, and Michigan Institute for Data Science (MIDAS)
Contact
734-764-5556
[email protected]
Website
Research
Research Areas
Complex time (kime)Computational and Informational Processing
Mathematical modeling
Predictive health analytics
Scientific visualization of Big Data
Spacekime theory
Statistics