Pattern recognition

Pattern recognition uses either machine learning, rules/heuristics, or analytical methods to recognize patterns in data. Active research at S&T involves facial recognition, recognizing unusual behavior to prevent terrorist attacks, predicting earthquakes, assessing risk, preventative maintenance, forecasting financial risk and return, and security applications.

Meet the experts

David Enke

Engineering Management & Systems Engineering

Research Interests

Financial engineering; Investments; Stocks; Derivatives; Portfolio management; Financial risk management; Enterprise risk management; Financial forecasting; Volatility forecasting; trading; Hedge fund replication; Computational intelligence; Artificial intelligence

Stephen Gao

Professor, Geology and Geophysics
Geosciences and Geology and Petroleum Engineering

Research Interests

Geophysical exploration of the Earth’s interior, earthquake seismology, crustal and mantle deformation

Don Wunsch

Mary K. Finley Missouri Distinguished Professor
Computer Engineering

Research Interests

Clustering, Neural Networks, Reinforcement Learning, Approximate Dynamic Programming, Adaptive Dynamic Programming, Adaptive Critic Designs, Adaptive Resonance Theory, Fuzzy Systems, Evolutionary Computation, Particle Swarm Optimization, Nonlinear Regression, Memristors, Game of Go (Baduk, Weichi), Traveling Salesman Problem, Prisoner's Dilemma Problem, Robotic Swarms, Bioinformatics, Self-Healing Critical Infrastructure, Smart Grid, Critical Infrastructure, Cybersecurity, applications of these