My research interests include mathematical modeling, numerical simulations, computational electrocardiology, PDE constrained optimization, inverse problems, C/C++ programming, high performance computing, reduced order models.
The applications I work on are mostly in the cardiac electrophysiology field. More specifically, I focus on the development of an innovative mathematical model able to provide the numerical simulation of the His bundle electrical stimulation in patients affected by Left/Right Bundle Branch Block. Such a model would be able to optimize the stimulation protocol and the current clinical practice for cardiopathic patients. Furthermore, my PhD project focused on the estimation of cardiac conductivities of the ventricular tissue via a data assimilation approach combining available patient-specific measures with mathematical models in view of personalized medicine.
I'm also interested in modeling of ice sheet dynamics and temperature of polythermal glaciers.
- Barone A., Fenton F., and Veneziani A. (2017). Numerical sensitivity analysis of a variational data assimilation procedure for cardiac conductivities. Chaos: An Interdisciplinary Journal of Nonlinear Science, 27(9), 093930.
- Barone A., Gizzi A., Fenton F., Filippi S., Veneziani A., Experimental Validation of a Variational Data Assimilation Procedure for Estimating Space-dependent Cardiac Conductivities. Computer Methods in Applied Mechanics and Engineering 358 (2020): 112615
- Barone A., Carlino M. G., Gizzi A., Perotto S., Veneziani A., Efficient Estimation of Cardiac Conductivities Based on a Proper Generalized Decomposition Approach, submitted to Journal of Computational Physics (Dec. 2019).
Peer-reviewed Proceedings
- "Hierarchical model reduction in parallel computing", LifeV meeting, Polytechnic University, Milan, Italy, October 2, 2014
- "Cardiac conductivity estimation by a variational approach", The 40th SIAM Southeastern Atlantic Section Conference (SIAM-SEAS), University of Georgia, Athens, GA, March 12-13, 2016
- "Efficient numerical methods for the variational estimation of cardiac conductivities by data assimilation", SIAM Conference on the Life Sciences (SIAM LS16), Boston, MS, July 11-14, 2016
- "Implementation of Enthalpy Model for Polythermal Glaciers", Scientific Computing Group Meeting, Emory University, Atlanta, GA, October 28, 2016
- "Estimation of Cardiac Conductivities by a Variational Data Assimilation Approach: Analysis and Validation", SIAM Conference on Computational Science and Engineering, Atlanta, GA, February 27-March 3, 2017
- "Variational Estimation of Cardiac Conductivities by Data Assimilation: Analysis and Sensitivity", 5th International Conference on Computational and Mathematical Biomedical Engineering - CMBE2017, University of Pittsburgh, Pittsburgh, PA, USA, April 10-12 2017
- "Reduced-order modeling for cardiac conductivity estimation", poster presentation, QUIET 2017, SISSA International School for Advanced Studies, Trieste, Italy, July 18-21 2017
- "Numerical Sensitivity Analysis of a Variational Data Assimilation Procedure for Cardiac Conductivities", Workshop on Mathematical Methods in Cardiac Electrophysiology, University of Ottawa, Ottawa, ON, Canada, November 4-6 2017
- "Analysis and validation of a variational data assimilation procedure for the estimation of cardiac conductivities", ECCM-ECFD 2018, Glasgow, UK, June 11-15 2018
- "Cardiac Conductivity Estimation by a Variational Data Assimilation Procedure: Analysis and Validation", IMACS 2019, Athens, GA, April 18 2019
- International CAE Conference 2014, Pacengo del Garda, VR, Italy, October 27-28, 2014
- 2015 Georgia Scientific Computing Symposium, Georgia Institute of Technology, Klaus Advanced Computing Building, Atlanta, GA, February 28, 2015
- 8th Annual JohnFest / SIAM Student Conference, Clemson University, Clemson, SC, February 5-6, 2016
- 2016 Georgia Scientific Computing Symposium, Emory University, Department of Mathematics and Computer Science, Atlanta, GA, February 20, 2016