Dr Samuel Feng

Meet our Research Faculty

Dr Samuel Feng Dr Samuel Feng
Assistant Professor of Mathematics (Statistics)
Sciences and Engineering
Sorbonne University Abu Dhabi

Research Interests
  • Stochastic modelling in neuroscience and psychology, with interests in reinforcement learning, the explore-exploit dilemma, decision making, and cognitive control
  • Dimensionality reduction of high dimensional genomic data for disease prediction
  • Nonparametric statistical techniques for renewable energy resources
  • Applied stochastic processes
PhD in

Applied and Computational Mathematics.

Research Collaborations
  • With Robert Wilson: Modelling and computational studies of reinforcement learning and the explore-exploit dilemma
  • With Aaron Bornstein: Jump-diffusion processes for determining dynamics of memory retrieval and decision making
Publications Book chapters
  • Anderson, A., Feng, S. F., Interlandi, F., Melkonian, M., Parezanović, V., Woolsey, M. L., Habak, C. & King, N. Building a Socio-cognitive Evaluation Framework to Develop Enhanced Aviation Training Concepts for Gen Y and Gen Z Pilot Trainees in A Framework of Human Systems Engineering 129–141 (John Wiley & Sons, Ltd, 2020). isbn: 9781119698821
Journal Articles
  • Wang, S., Feng, S. F., & Bornstein, A. M. (2022). Mixing memory and desire: How memory reactivation supports deliberative decision‐making. Wiley Interdisciplinary Reviews: Cognitive Science, 13(2), e1581
  • Henschel, A., Feng, S. F., Hamoudi, R. A., Elbait, G. D., Damiani, E., Waasia, F., ... & UAE COVID-19 Collaborative Partnership. (2022). Travel ban effects on SARS-CoV-2 transmission lineages in the UAE as inferred by genomic epidemiology. PloS one, 17(3), e0264682
  • Feng, S. F., Wang, S., Zarnescu, S., & Wilson, R. C. (2021). The dynamics of explore–exploit decisions reveal a signal-to-noise mechanism for random exploration. Scientific reports, 11(1), 1-15
  • Wahbah, M., Feng, S., EL-Fouly, T. H., & Zahawi, B. (2019). Root-transformed local linear regression for solar irradiance probability density estimation. IEEE Transactions on Power Systems, 35(1), 652-661
  • Wahbah, M., El-Fouly, T. H., Zahawi, B., & Feng, S. (2019). Hybrid beta-KDE model for solar irradiance probability density estimation. IEEE Transactions on Sustainable Energy, 11(2), 1110-1113
  • Srivastava, V., Feng, S. F., Cohen, J. D., Leonard, N. E., & Shenhav, A. (2017). A martingale analysis of first passage times of time-dependent Wiener diffusion models. Journal of mathematical psychology, 77, 94-110
  • Schwemmer, M. A., Feng, S. F., Holmes, P. J., Gottlieb, J., & Cohen, J. D. (2015). A multi-area stochastic model for a covert visual search task. PLoS One, 10(8), e0136097
  • Feng, S. F., Schwemmer, M., Gershman, S. J., & Cohen, J. D. (2014). Multitasking versus multiplexing: Toward a normative account of limitations in the simultaneous execution of control-demanding behaviors. Cognitive, Affective, & Behavioral Neuroscience, 14(1), 129-146
  • Feng, S., Holmes, P., Rorie, A., & Newsome, W. T. (2009). Can monkeys choose optimally when faced with noisy stimuli and unequal rewards?. PLoS computational biology, 5(2), e1000284