Challenge
It is the ability of humans to think and reason in imprecise, non quantitative terms that makes it possible for humans to decipher sloppy handwriting, understand distorted speech, and focus on that information that is relevant to a decision. It is the lack of this ability that makes even the most sophisticated computer incapable of communicating with humans in natural - rather than artificially constructed - languages. - Lotfi Zadeh.
Interests
- Computational Forensics:
Digital forensics; computer, network, media and internet/cloud forensics,
Malware detection and analysis, Feature selection for intrusion detection. - Computational Intelligence:
Machine Learning & Pattern Recognition, Fuzzy Logic, Neural Networks, and Evolutionary Computation. - Forensic handwriting and document analysis:
Signature analysis and writer identification, psychomotor aspects, physical and biomechanical interaction processes,
Secure-document and stamp-imprint analysis. - Document processing:
Background and foreground segmentation, check processing, historical document analysis. - Robotics:
Simulation of human handwriting. - Computer Vision:
Adaptive filter design and Mathematical Morphology. - Knowledge engineering using eXtensible Markup Language (XML) for
handwriting, documents and digital evidence. - Software and system design.
- see also publications.