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  SCIENTIFIC PROGRAMS AND ACTIVITIES | 
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| November 4, 2025 | 
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Fields Day on Mathematical Modeling 
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               Schedule 
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| 9:30 - 9:45 | Opening Remarks | 
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               9:45 - 10:45  | 
             John Ockendon, Oxford University Modelling with Free Boundaries  | 
          
| 10:45 - 11:00 | Coffee Break | 
| 11:00 - 12:00 | Keith Promislow, Simon Frasier 
              University The Mathematics of Fuel Cells  | 
          
| 12:00 - 1:15 | Lunch Break | 
| 1:15 - 2:15 | Don Schwendaman, RPI Combined Analytical and Numerical Methods in Industrial Mathematics Click here for talk slides  | 
          
| 2:15 - 2:30 | Afternoon Tea | 
| 2:30-3:30 | Tom Hurd, McMaster Finance portfolio selection in jump diffusion markets  | 
          
Speakers:
          
          John Ockendon, Oxford University
          Modelling with Free Boundaries
          This talk will discuss free boundary differential equation models in 
          cases where the morphology can be irregular. The models will be motivated 
          by problems in fluid and solid mechanics, heat and mass transfer and 
          superconductivity.
          
          Keith Promislow, Simon Frasier University
          The Mathematics of Fuel Cells
          Working in conjunction with scientists at Ballard Power Systems, the 
          world leader in fuel cell technology for automotive
          applications, we have developed models of the crucial process of water 
          management in fuel cell electrodes. This involves issues of phase change 
          in porous media, multiphase flow and front tracking, all coupled to 
          electrochemical reactions and heat and mass transport in the porous 
          fuel cell electrodes. This collaboration has lead us to study rich classes 
          of mathematical problems and afforded us the resources to do solid science. 
          I will discuss these efforts against
          the broader backdrop of the rewards and demands of multi-disciplinary 
          research, and the role played by the MITACS NCE and the Pacific Institute 
          for the Mathematical Sciences.
        
 Don Schwendeman, RPI
          Combined Analytical and Numerical Methods in Industrial Mathematics
          In order to examine the solution of mathematical problems arising from 
          industrial applications, scientists and engineers often turn to large-scale 
          numerical simulations to obtain results. While such simulations may 
          give detailed information about specific cases, it is often difficult 
          to sort out fundamental features of the problem and to determine how 
          the solution depends on the various parameters involved. On the other 
          side, purely analytical solutions of simplified models may
          only provide a qualitative understanding of the full problem. Experience 
          with problems brought to industrial workshops at Rensselaer and elsewhere 
          has shown that a combined approach involving both analytical and numerical 
          methods is effective in solving mathematical problems from industry. 
          In this talk, the speaker will survey some problems brought to
          industrial workshops and the combined analytical and numerical approaches 
          used to solve them. 
        
Tom Hurd, McMaster University
          Finance portfolio selection in jump diffusion markets
          This talk will address Merton's portfolio optimization problem in the 
          setting of an exponential Levy stock
          market. This stochastic control problem leads to Hamilton-Jacobi-Bellman 
          equations which are nonlinear partial
          integro-differential equations with interesting properties. For three 
          canonical examples of utility functions I will give the general solution 
          of both the optimal problem and the associated dual problem. These solutions 
          exhibit some important new features which can not arise in pure diffusion 
          markets. 
          
        
This one-day workshop will be a good learning opportunity for graduate students, postdoctoral fellows and other researchers interested in Mathematical Modeling and Industrial Mathematics.
Limited financial support will be available for graduate students and postdocs.
Any questions or cancellations should be directed to modelling@fields.utoronto.ca