Proposed doctoral theses

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My catalogue of proposed doctoral thesis topics:

• Virtual laboratory for teaching dynamic back-propagation neural networks in the control area.
• Brain–computer interface using recurrent neural networks and multivariate analysis.
• Dynamic discrete neural architectures for time-series prediction (tentative title).
• Digital signal processing using empirical mode decomposition and the wavelet transform (tentative title).
• Example-based search methods for adaptive Bayesian planning
• Adaptive control using reinforcement learning.
• Neural unit for real-time prediction of human dynamic movement.
• Bayesian neural networks based on GPU
• Fast Hamiltonian Monte Carlo using GPU computation.

Interested? Contact me.