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Dr. Lutz Hamel

teaches at the University of Rhode Island and was the founder of the machine learning and data mining group there. Before becoming an academic, Dr. Hamel was Director of Software Development at Thinking Machine Corporation, and Vice President of R&D for Bluestreak, where he oversaw the development of advanced technologies for online ad delivery and optimization, and directed the building of a next generation data warehouse-driven system for campaign analysis and design tools.

Education:

BS Electrical Engineering, University of Rhode Island

MS Computer Science, University of New Hampshire

PhD Computer Science, University of Oxford, UK

Areas of Expertise:

Machine Learning

Data Mining

Computational Statistics

Logic and Logic Programming

Programming Language Semantics

Bioinformatics

Publications:

Author, Knowledge Discovery with Support Vector Machines (Wiley & Sons, 2009)

Author, "Database Queries, Data Mining and OLAP" in The Encyclopedia of Data Warehousing and Mining, 2nd Edition (Idea Group Publishers, 2008)

Co-authored, "Bayesian Probability Approach to Feature Significance for Infrared Spectra of Bacteria" in Applied Spectroscopy, 2012.

Co-authored, "Sensitivity of Raman Spectra to Chemical Functional Groups" in Applied Spectroscopy, 2008.

Websites links:
Dr. Lutz Hamel

Courses:
Introduction to Support Vector Machines in R

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What our students say:

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Douglas Reimel

"I’ve increased my exposure in my department and profession because I have experience with a number of data analysis approaches. I’ve been asked to give guest lectures in other classes on statistical methods and different strategies, and I was asked to present at a national conference." Todd Lewis, Ph.D., Associate ProfessorDepartment of Counseling and Educational DevelopmentSchool of EducationUniversity of North Carolina at Greensboro

Todd Lewis

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Patricia Shewokis

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Joseph Somma

"Traditionally, reports are designed to summarize data, but they can only tell you what happened. I'm applying data mining algorithms I've learned in my Statistics.com coursework to ask why something happened." Susan StranburgSoftware Developer

Susan Stranburg

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Cristobal Bazan

I hear IT people complaining that they’re always needing to learn new technology because things in their field evolve and change quickly. The same thing is true in analytics. New techniques are developing rapidly. Robert Wood Director, Advanced Analytics Group, Merkle

Robert Wood

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