Lutz Hamel

Our new starburst visualization of clusters on a self-organizing map unified distance matrix.

Education: Doctorate from Oxford University 1997.

Research Interests: machine learning, computational statistics, logic, logic programming, programming language semantics and implementation (brief bio sketch).

Publications: here

Teaching (Spring 2015):
An Introduction to Artificial Intelligence with AI Game Development, CSC481
Theory of Computation, CSC544

Previously Taught Courses:
Fundamentals of Programming Languages, CSC301
Programming Language Semantics, CSC501
Models of Computation, CSC445
Topics in AI: Introduction to Machine Learning with Support Vector Machines, CSC581
Programming Language Implementation, CSC402
Theory of Compilers, CSC502
Discrete Mathematics, CSC/MTH 447
Foundations of Logic Programming, CSC491
Arduino Workshop at the AS220 in Providence
Cognitive Modeling, CSC592
Advanced Logic Programming, CSC491 Sec 9
Knowledge Discovery and Data Mining, CSC492/CSC592
Software Engineering, CSC305

Other Academic Activities:
I lead the machine learning and data mining group.
I am a member of the bioinformatics group and BRIN.
I am a member of the Bioinformatics and Bioengineering Technical Committee (BBTC) of the Computational Intelligence Society (CIS) of the Institute of Electrical and Electronic Engineers (IEEE).
I was the publicity chair for CIBCB 2008.
Program Committees:

Software Systems I am involved with:
GPX - Gene Phylogeny eXplorer for spectral genome analysis.
PentaPlot - a visualization system for phylogenetic content.
ErrorEngine - a system for automatic narrative evolution.
UCG-E - an equational logic programming system.
OBJ3 - an equational specification system.
TRIM - an abstract machine for order-sorted rewriting.

(c) Lutz Hamel, 2003-2010