Research

Probability Teaching

Probability theory is the mathematical description of random phenomena. Probability plays an increasingly important role in almost all areas of engineering and science. Probability research in ORFE ranges from theoretical to applied, with particular emphasis on stochastic analysis and its applications in various areas including financial mathematics, stochastic networks and queueing, signal and image processing, and stochastic control.

Faculty Research Interests

  • stochastic analysis (SPDEs, BSDEs, FBSDEs, stochastic control and stochastic differential games), financial mathematics (models for the equity, fixed income and credit markets, commodity, energy and emission markets), environmental finance
  • security pricing, stochastic processes, stochastic modeling, mathematical finance, risk analysis
  • stochastic models and queuing theory, renewals, martingales, Markov processes, stochastic differential equations, dynamic point processes, mass transport by stochastic flows, applications to mathematics of insurance and finance, reliability of complex systems, modelling and estimation of natural hazards
  • stochastic models and queuing theory, performance and pricing models for telecommunications systems, asymptotic analysis and stochastic bounds for queueing networks, theories of queues with time-varying rates, stochastic networks
  • approximate dynamic programming and optimal learning, with applications in energy, homeland security, health and complex resource allocation problems
  • probability theory, stochastic analysis, Markov processes, ergodic theory, mathematical statistics, information theory, nonlinear filtering, mathematical physics, applied mathematics
  • convex optimization, interior-point methods, efficient frontiers associated with L¹ risk measures, optimal stopping and related differential equations, high-contrast imaging, celestial mechanics, stability of Saturn's rings, political mapping