Samuel Feng
Assistant Professor of Mathematics
Department of Applied Mathematics and Sciences
Khalifa University
United Arab Emirates
Biography
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.
Research Interest
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
Publications
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Feng, Samuel, Philip Holmes, Alan Rorie, and William T. Newsome. "Can monkeys choose optimally when faced with noisy stimuli and unequal rewards?." PLoS Computational Biology 5, no. 2 (2009): e1000284.
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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.
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Feng, Samuel, et al. "Can monkeys choose optimally when faced with noisy stimuli and unequal rewards?." PLoS Computational Biology 5.2 (2009): e1000284.
