Mathematical psychology is an approach to quantify perceptual and cognitive processes through basic rules that relate psychological characteristics to behavior based on observations. On the one hand, it is closely related, but not limited, to Psychometrics which is concerned with the measurement of such constructs. On the other hand, it tries to combine and integrate knowledge and methods from statistics, computer science and artificial intelligence to psychology and neuroscience to give a more robust foundation to the computational aspects of psychology. Currently my research is mainly focused on reinforcement learning and decision making. We collect behavioral data by implementing and\or improving experimental tasks and make inferences through building mathematical models. This approach is different from summary statistics in a way that these models not only explain the psychological features but also capture the underlying behavioral dynamics.
|2013||PhD, Applied Mathematics, Univ. of Aveiro, Aveiro, Portugal|
|2006||MSc, Applied Mathematics, IASBS, Zanjan, Iran|
|2003||BSc, Applied Mathematics, Univ. of Tabriz, Tabriz, Iran|
|Since 2013||Postdoctoral research fellow, SeSyn, Dpt. of Psychiatry, Technische Universität Dresden, Germany|
|2006 - 2008||University instructor, Ardebil, Iran|
Other Scientific Activities, Honors, Awards
Almeida R., Pooseh S. & Torres D. (2015). Computational Methods in the Fractional Calculus of Variations. Imperial College Press.
Pooseh S., Almeida R. & Torres D. (2014). Fractional Order Optimal Control Problems with Free Terminal Time. J. Ind. Manag. Optim., 10 no. 2, 363–381.
Pooseh S., Almeida R. & Torres D. (2013). Discrete Direct Methods in the Fractional Calculus of Variations. Comput. Math. Appl. 66, no. 5, 668–676.
Almeida R., Pooseh S. & Torres D. (2012). Fractional variational problems depending on indefinite integrals. Nonlinear Anal., no. 3, 1009–1025.