معرفی
Dr. Nikolay Nikolaev is Lecturer in Computing at Goldsmiths, University of London. He holds M.S. from University of Baghdad and Ph.D. from University of Texas at Austin.
Research develops evolutionary computation methods for neural networks and time-series analysis. Specializes in genetic programming of polynomial networks, regime-switching recurrent models for non-stationary series, and Bayesian kernel methods for financial engineering.
Recent work examines cognitive superposition limitations in neural networks (2022). Developed novel EM algorithms for time-dependent variance modeling (2013) and heavy-tailed GARCH formulations for Value-at-Risk estimation. Authored 'Adaptive Learning of Polynomial Networks' textbook (2006).
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