Edrissa Gassama, Ph.D.

Senior Researcher II
Years of Experience:
7
Education & Licenses:

Doctor of Philosophy, Applied Mathematics, 2014, Case Western Reserve University, Cleveland, OH
Thesis: Characterization of Piezoelectric Material Parameters in Bayesian Framework
Master of Science, Applied Mathematics, 2010, The University of Akron, Akron, OH
Thesis: A Model of the Dye-Sensitized Solar Cell: Solution Via Matched Asymptotic Expansion
Master of Science, Mathematics, 2006, The University of Charleston, Charleston, SC
Masters Project: Mimetic Methods for the Simulation of Conservative Systems of Differential Equations with Random Forcing Terms
Bachelor of Science, Physics and Mathematics, 2005, The University of The Gambia, Banjul, The Gambia

Areas of Specialization:

Mathematical Modeling, Statistical and Scientific Computing
Computational and Bayesian Inverse Problems
Uncertainty Quantification, Markov Chain Monte Carlo Simulations
Constrained and Unconstrained Optimization
Mathematics of Image Processing, Signal Processing, Pattern Recognition
Numerical Analysis using the Finite Element Method and Boundary Element Method
Computational Plasticity
Data analysis and parameter estimation
Software Development and Scientific Programming in MATLAB, FORTRAN, Python, C++, Maple, ABAQUS, Comsol Multiphysics

Overview:

Dr. Gassama joined the Applied Research & Development Team of E2G | The Equity Engineering Group, Inc. in 2014 as a Senior Researcher.  As a member of this group, his primary focus is developing and investigating emerging technologies using advanced computational and probabilistic methods, Finite Element Analysis (FEA), and Bayesian scientific computing.

Prior to joining E2G, Dr. Gassama was a graduate research assistant for the Department of Applied Mathematics at Case Western Reserve University.  His research applies Finite Element Method (FEM) combined with Bayesian inference and data mining methods to statistically characterize the material parameters of piezoelectric materials with specific properties.  One application of this work has been the optimization of the design of piezoelectric devices that he conducted for NASA Glenn Research Center. Dr. Gassama also has experience in Monte Carlo sampling techniques and developed a novel sequential sampling technique as part of his Ph.D. work.

Publications:

  1. Panzarella, C., Gassama, E., Spring, D.W., “Probabilistic Financial Analysis of Cokes Drum Life Cycle Management,” Proceedings of the ASME Pressure Vessels and Piping Conference, Volume 1A: Codes and Standards: V01AT01A037. DOI:10.115/PVP2016-63670.
  2. Gassama, E., Spring, D.W., Stenta, A., Cochran, J., Panzarella, C., “A Probabilistic Approach to the Thermo-Mechanical Aanalysis of Coke Drums,” Proceedings of the ASME Pressure Vessels and Piping Conference, Volume 1A: Codes and Standards: V01AT01A038. DOI:10.115/PVP2016-63676.
  3. Stenta, A., Gassama, E., Spring, D.W., Cochran, J., Panzarella, C., Osage, D.A., “Summary and Applications of the New Fatigue Rules in Part 14 of API 579-1/ASME FFS-1 and WRC 550,” Proceedings of the ASME 2016 Pressure Vessels and Piping Conference, Volume 1A: Codes and Standards: V01AT01A002. DOI:10.115/PVP2016-63678, 2016.
  4. Spring, D.W., Gassama, E., Stenta, A., Cochran, J., Panzarella, C., “On the Applicability of Neuber’s Rule for Low-Cycle Fatigue,” Proceedings of the ASME 2016 Pressure Vessels and Pipeline Conference, Volume 1B: Codes and Standards: V01BT01A062. DOI: 10.115/PVP2016-63665, 2016.
  5. Stenta, A., Gassama, E., Spring, D.W., Panzarella, C., Cochran, J., Osage, D.A., “Standardization of Fatigue Methods for Use in API 579-1/ASME FFS-1,” Welding Research Council Bulletin 550.
  6. Spring, D.W., Gassama, E., Stenta, A., Cochran, J., Panzarella, C., “On the Applicability of Neuber’s Rule for Low-Cycle Fatigue,” Proceedings of the ASME 2016 Pressure Vessels and Pipeline Conference, Vancouver, BC, Canada, July 2016.
  7. Spring, D.W., Panzarella, C., Osage, D.A., “Revisiting the Bree Diagram,” Proceedings of the ASME 2016 Pressure Vessels and Pipeline Conference, Vancouver, BC, Canada, July 2016.
  8. Panzarella, C., Gassama, E., Spring, D.W., “Probabilistic Financial Analysis of Cokes Drum Life Cycle Management,” ASME 2016 Pressure Vessels and Pipeline Conference, Vancouver, BC, Canada, July 2016.
  9. Gassama, E., Panzarella, C., Cochran J., “Inverse Thermal Analysis of a Coke Drum Using a Bayesian Probabilistic Approach,” Proceedings of the ASME 2015 Pressure Vessels and Piping Conference, July 2015.
  10. Gassama, E., Panzarella, C., Cochran J., “Stochastic Estimation of the Heat Transfer Coefficient via Sequential MCMC,” Proceedings of the ASME 2015 Verification and Validation Conference, Las Vegas, NV, May 2015.
  11. Gassama, E., “Piezoelectric Inverse Problems with Resonance Data: A Sequential Monte Carlo Analysis,” Case Western Reserve University, 2014.
  12. Gassama, E., Calvetti, D., Somersalo, E., “Piezoelectric Inverse Problems with Resonance Data,” (poster) International Conference on Novel Directions in Inverse ScatteringUniversity of Deleware, July 29-August 2, 2013.
  13. Gassama, E., Calvetti, D., Somersalo, E., “Inverse Problem in Piezoelectricity,” (poster) NSF PIRE Summer School for Graduate Students: New Frontiers in Multiscale Analysis and Computing for Materials, IMA, University of Minnesota, June 21-29, 2012.
  14. Gassama, E., “A Model of the Dye-Sensitized Solar Cell: Solution via Matched Asymptotic Expansion,” Diss. University of Akron, 2014.
  15. Gassama, E., “Mimetic Methods for the Simulation of Conservative Systems of Differential Equations with Random Forcing Terms,” (poster) Annual Graduate Research Poster SessionCOFC, January 2007.
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