Principal Investigators //
- Corey Hill Allen, PhD >
- Nathaniel Anderson, PhD >
- Felicha Candelaria-Cook, PhD >
- Arvind Caprihan, PhD >
- Aparna Gullapalli, PhD
- Carla Harenski, PhD >
- Jon Houck, Ph.D. >
- Kent A. Kiehl, PhD >
- J. Michael Maurer, PhD >
- Andrew R. Mayer, PhD >
- John Phillips, MD >
- Sephira Ryman, PhD, MS >
- Julia M. Stephen, PhD >
- Andrei Vakhtin, Ph.D. >
- Claire E. Wilcox, MD >
Aparna Gullapalli, PhD
Assistant Professor of Translational Neuroscience
Dr. Gullapalli is a research scientist in the Mobile MRI and Clinical Cognitive Neuroscience Laboratory at the Mind Research Network. Her research is focused on combining automated audio and visual feature extraction with behavioral traits and medical imaging. She has previously worked in spatiotemporal network modeling and analysis. She has expertise in machine learning, pattern recognition and classification, data mining, symbolic dynamics and spatiotemporal modeling. Her research interests lie in the application and use of machine learning and stochastic modeling paradigms across multidisciplinary fields of research.
Selected Publications //
- Clustering of Temporal Network Trails using Symbolic Time Series Analysis >
- Image analysis using symbolic dynamic filtering for fatigue damage detection >
- Space partitioning via Hilbert transform for symbolic time series analysis >
- Clustered Causal State Algorithm: efficient pattern discovery for lossy compression applications >
