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 (Fall 2014):
Fundamentals of Programming Languages, CSC301
Programming Language Semantics, CSC501

Previously Taught Courses:
Models of Computation, CSC445
Topics in AI: Introduction to Machine Learning with Support Vector Machines, CSC581
Programming Language Implementation, CSC402
Theory of Computation, CSC544
Theory of Compilers, CSC502
Discrete Mathematics, CSC/MTH 447
An Introduction to Artificial Intelligence with AI Game Development, CSC481
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