David R. Wolf is an active contributor in the fields of signals analysis, modelling, and machine intelligence with interest in a few areas.  Interesting current and recent research and development activities involve
 
 

o Information theoretic approaches in inference.

o Informative signals from bioinformatics data.

o Correlation and information fundamentals.

o Bayesian data understanding.

o Large sparse data prediction and control.

o Machine learning in vision.

o Machine learning of Natural Language.

o Inference of detail in imaging systems.

o Surface modelling and inference.

o Clustering and segmentation.

o Extensions to Hidden Markov models.

o Spectroscopic imaging and inference.

o Time series identification and prediction.

o Novel signals communication modes.

Parties interested in proposing joint research or R&D projects, or in taking a current technology to the next level, are encouraged to contact Dr. Wolf.