Applied Statistical Physics
The main focus of our research is the development and application of advanced statistical methods, traditionally employed in statistical physics, for modelling and finding patterns / correlations in various systems.
Some of the algorithms we developed and implemented are based on maximum entropy methods (maximum likelihood, expectation-maximization, total variation regularization, saddle point approximation and decomposition of the partition function).
Other algorithms are closer connected to BioStatistical methods: Multivariate Cox proportional-hazard analysis, Singular Value Decomposition dimensionality-reduction projection methods (related to principal, factor and cluster analysis) and fuzzy logic analysis of uncertain/noisy data.
Research Group
Dr. Marian Manciu, Associate Professor
M.S. Students: Sorour Hosseini
Undergraduate Students: Roszela Trevino, Joscelyne Guzman
Current Projects
- Development and implementation of algorithms for finding patterns and correlations in Biomedical Data.
- Development and implementation of algorithms for image reconstruction and enhancement in Medical Imaging.
- Statistical models for water-mediated intermolecular interactions.
Publications
- M. Manciu, F.S. Manciu, E. Ruckenstein:”On the Zeta potential and surface tension of electrolyte solutions”, ADVANCES IN COLLOID AND INTERFACE SCIENCE , JUL 2016
- M. Manciu, F. S. Manciu, E. Ruckenstein: “Ion-specific effects on surface potential and surface tension of water solutions explained via volume exclusion effects”, COLLOIDS AND SURFACES A 494: 156-161, APR 2016.
- L.A. Vazquez Quino*, C.I Huerta Hernandez, N. Papanikolau, A. Gutierrez, C Esquivel, T Eng, M. Manciu, S. Stahakis: “A Monte Carlo model for independent dose verification in IMRT and VMAT for the Varian Novalis TX with high definition MLC” , INTERNATIONAL JOURNAL OF CANCER THERAPY AND ONCOLOGY, JUL 2015
- M. Manciu, C. Bosse, E. Ruckenstein: “Size dependent transitions in Grafted Polymer Brushes” THE JOURNAL OF PHYSICAL CHEMISTRY B 117(32): 9532-9539 JUL 2013