Commonly found in nature and engineering, multiphase flows contain interacting media of different phases. Traditionally, there have been two ways to model such flows. First, the Eulerian-Eulerian approach, in which the phases are modeled as interpenetrating continua, is computationally efficient but does not provide the discrete particle locations. Second, in the Eulerian-Lagrangian approach, the dispersed phase is treated as individual particles interacting with a fluid continuum. However, this approach is computationally demanding. especially for flows containing a large number of particles. The current work introduces an Eulerian-Lagrangian approach to modeling multiphase flows, in which the particles are modeled using lattice-based cellular automata (CA). The fluid is modeled as a continuum while particles are modeled on a lattice which allows them to evolve spatially and temporally. Thus, this work examines the feasibility of the Eulerian-CA approach for modeling multiphase flows while achieving significant speedups in computational times. (C) 2011 Elsevier B.V. All rights reserved.