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Dr. Caracotsios' research interests are in the areas of integrated technology development and transfer, statistical data modeling, analysis, reconciliation and scale-up, nonlinear parameter estimation, steady-state and dynamic simulation, distributed systems modeling, polymers modeling and optimization, pinch technology applications, continuous and discrete nonlinear constrained optimization, engineering software development and graphical/visual user interfaces. Currently his research focuses on the following areas:
Computational Methods in Lumped and Distributed Parameter Systems
Initialization methods for mixed systems of differential/algebraic equations
High index systems
New methods to handle phase discontinuities
Applications include alternative ways to model heat exchangers, reactors, crystallization kinetics and biochemical systems
Nonlinear Parameter Estimation and Data Reconciliation
Algorithmic methods for constrained parameter estimation
Statistical interpretation of estimates in a constrained environment
Handling of missing data in multiresponse estimation
Optimal experimental design and model discrimination
Large-scale data reconciliation algorithms
Continuous and Discrete Nonlinear Large-scale Optimization
New methods for very large scale continuous optimization
Mixed-integer nonlinear optimization theory and applications
Explore new applications in agricultural industry, financial industry and other nontraditional industries
Optimal design of chemical reactor and distillation trains, design of batch plants
Explore applications to pharmaceutical industries
Steady-state and Dynamic Simulation and Training Software Development
Development of training modules for chemical processes
Development of new algorithms for dynamic simulation of chemical plants
Solids flow handling
Industrial applications
Modeling of Polyolefins Manufacturing Technology
Steady-state and dynamic modeling of polymerization reactors with moving catalyst bed
Catalyst deactivation mechanism, catalyst feed optimal profiles
Residence time distribution functions for moving bed reactors
Polymer property structural modeling and relations to reactor conditions
Applications in the polyolefins industry world-wide
Modeling and System Analysis of Fuel Cells
Development of fundamental models that describe the physical and chemical phenomena that take place in batteries and fuel cells
Testing of the models with available experimental data, adjustable parameter estimation and model discrimination
Optimization studies in order to design more efficient and cost-effective batteries and cells
Other Areas of Interest
Heterogeneous reactor modeling
Pinch technology applications
Applied mathematics
Modeling of living organisms
Graphical user interfaces and object oriented programming. | 