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Dr. Samuel Feng

Dr. Samuel Feng

Assistant Professor of Mathematics, Department of Applied Mathematics and Sciences

Address: P.O. Box: 127788, Abu Dhabi, UAE

Telephone: +971-(0)2-401 8221

Fax: +971-(0)2-4472442 

Email:

CV

Dr. Samuel Feng earned his PhD in Applied and Computational Mathematics from Princeton University (Princeton, USA) in 2012. He received his Bachelor’s degree from Rice University (Houston, USA) in 2007, also in applied mathematics.

After graduation, Dr. Feng received the Ruth L. Kirschstein National Research Service Award Postdoctoral Fellowship, which he served out as a member of the Princeton Neuroscience Institute. During this time, he applied mathematical modeling and applied statistical techniques to complex and large sets of neural data. He was particularly interested in non-Gaussian noise processes in neural decision making.

Dr. Feng joined the Khalifa University of Science, Technology and Research (KUSTAR) faculty in 2014 as an assistant professor of mathematics. Since then, he has grown his collaborations both locally and abroad, working on a wide array of applications involving collaborations with Electrical Engineering, Biomedical Engineering, and even Etihad Airways.

  • Ph.D in Applied Mathematics, Princeton University, USA, 2012
  • M.A. in Applied Mathematics, Princeton University, USA, 2009
  • B.A. Computational and Applied Mathematics, Rice University, USA, 2007
    • MATH111 Calculus 1
    • MATH213 Engineering Statistics
    • MATH214 Mathematical and Statistical Software
    • MATH318 Multivariate Statistics

Other teaching interests: Probability theory, applied statistics, stochastic processes, dynamical systems

  • Lyapunov stability and fractal behavior for a randomized Fibbonacci type recurrence
  • Martingale analysis of first passage times of time-dependent Wiener diffusion models
  • Perceptual decisions on the basis of continuous sampling from memory and sensory information
  • Novel nonparametric models to assess the impact of integrating renewable energy resources into the smart grids
  • Obesity in the UAE youth from OMICs to function: Towards the early prediction of associated chronic disease
  • Other Research Interests: Levy processes (e.g. non-Gaussian noise), random matrix iterations, applied statistics
  • Srivastava V, Feng S, Cohen JD, Leonard NE, Shenhav A. (2017) A martingale analysis of first passage times of time-dependent Wiener diffusion models. Journal of Mathematical Psychology. doi:10.1016/j.jmp.2016.10.001
  • Feng S, Holmes P. (2016) Will big data yield new mathematics? An evolving synergy with neuroscience. IMA Journal of Applied Mathematics. doi:10.1093/imamat/hxw026
  • Schwemmer M, Feng S, Holmes P, Cohen J. (2015) A multi-area stochastic accumulator model for a covert visual search task. PLoS One 10(8):e 0136097. doi:10.1371/journal.pone.0136097
  • Feng S, Schwemmer M, Gershman S, Cohen J. (2014) Multitasking vs. multiplexing: Toward a normative account of limitations in the simultaneous execution of control-demanding behaviors. Cognitive, Affective, & Behavioral Neuroscience. doi:10.3758/s13415-013-0236-9
  • Feng S, Holmes P, Rorie A, Newsome WT. (2009) Can monkeys choose optimally when faced with noisy stimuli and unequal rewards? PLoS Computational Biology 5(2): e1000284. doi:10.1371/journal.pcbi.1000284