Kendall Giles Assistant Professor Department of Statistical Sciences and Operations Research College of Humanities and Sciences Virginia Commonwealth University Senior Research Scientist Human Language Technology Center for Excellence (HLTCOE) Johns Hopkins University Contact Information Please go to my website www.kendallgiles.com for current status and contact information. Meta Data Curriculum Vitae Academic Bio

CURRENT STATUS

Research Interests

In general, my research interests fall in the intersection of computational statistics, computer science, and the decision sciences. Broadly speaking, my research involves the design and implementation of methods, algorithms, and systems for the analysis of complex datasets, the extraction of knowledge, and the visualization of information. In particular, keywords that would describe my research interests include statistical learning, visualization, text analysis, machine translation, network security, and high-dimensional data analysis.

Projects

• Machine Translation


• Computing and the Humanities


• Face Recognition


• Entity Relationship Diagram Clustering in Database Design


• Aerosol Filtration: Analysis and Prediction


• Data Fusion and Inference


• Iterative Denoising


• Webpage Reputation Scoring System

Funded Research

• "A Hierarchical and Iterative System for the Analysis of Streamed Text Data," Human Language Technology Center for Excellence, Baltimore, Maryland, May - September 2008, $7,512, PI.


• "The Design and Implementation of a System for Fusion and Inference from Multiple Disparate Data Sources," Johns Hopkins University, June 2009 - May 2014, $102,560, PI.

Selected Publications

• "Iterative Denoising," Kendall Giles, Michael Trosset, David Marchette, Carey Priebe. Computational Statistics, 24:3, October, 2008.
  
  
• "Disambiguation Protocols Based on Risk Simulation," Donniell Fishkind, Carey Priebe, Kendall Giles, Leslie Smith, Al Aksakalli. IEEE Transactions on Systems, Man, and Cybernetics, Part A, 37:5, 814-823, September, 2007.
  
  
• "Knowledge Discovery in Computer Network Data: A Security Perspective," Kendall Giles, Ph.D. Dissertation, Johns Hopkins University, Baltimore, Maryland, October 2006.
  
  
• "Splitting Methods for Decision Tree Induction: An Exploration of the Relative Performance of Two Entropy-Based Families," Kweku-Muata Osei-Bryson, Kendall Giles, Information Systems Frontiers Journal, 8:195-209, Springer, 2006.
  
  
• "An Exploration of a Set of Entropy-Based Hybrid Splitting Methods for Decision Tree Induction," Kweku-Muata Osei-Bryson, Kendall Giles, Journal of Database Management, 15:3, 2004.
  
  
• "Exploration of a Hybrid Feature Selection Algorithm," Kweku-Muata Bryson, Kendall Giles, Boontaree Kositanurit, Journal of the Operational Research Society, 54:7, 790-797, 2003.
  
  

Teaching

Spring 2011

Stat 541: Applied Statistics for Engineers and Scientists

Fall 2010

Stat 321: Introduction to Statistical Computing

Stat 541: Applied Statistics for Engineers and Scientists

Spring 2010

STAT 736/OPER 736: Mathematics of Knowledge and Search Engines

Fall 2009

Stat 321: Introduction to Statistical Computing

Spring 2009

Stat 541: Applied Statistics for Engineers and Scientists

Stat 541: Applied Statistics for Engineers and Scientists

Fall 2008

Stat 543: Statistical Methods I

Stat 541: Applied Statistics for Engineers and Scientists

Spring 2008

Stat 544: Statistical Methods II

Stat 691: Mathematics of Knowledge and Search Engines

Presentations

• "What do You do with an Engineering Degree? A Retrospective", Student Engineers' Council, Virginia Tech, Blacksburg, Virginia, January 28, 2010


• "Introduction to R", Computation Seminar Series, Department of Statistical Sciences and Operations Research, Virginia Commonwealth University, Richmond, Virginia, August 27, 2009


• Seminar : "Knowledge Discovery with Iterative Denoising", Department of Bioinformatics and Computational Biology, George Mason University, March 25, 2009


• Seminar : "Knowledge Discovery with Iterative Denoising", Computer Science Department, Virginia Commonwealth University, October 8, 2008


• "Interactive Text Analysis with Iterative Denoising," Interface 2008, Text Data Analysis Session, Durham, North Carolina, May 23, 2008.


• "Communication in Industry: Lessons Learned the Hard Way," Lecture Presentation to STAT/OR 490: Communications in Statistics and Operations Research, Virginia Commonwealth University, Richmond, Virginia, April 2008
  
  
• "Text Analysis with Iterative Denoising," International Biometric Society, Eastern North American Region (ENAR), Arlington, Virginia, March 2008.
  
  
• "Iterative Denoising: A Flexible (and applicable to bioinformatics?) Knowledge Discovery Methodology," Bioinformatics Colloquium, George Mason University, Manassas, Virginia, February 2008.
  
  
• "Scan Statistics on Enron Graphs," Mathematics of Knowledge and Search Engines research workshop, University of California, Los Angeles, Institute for Pure and Applied Mathematics, Los Angeles, California, October 2007
  
  
• "Basics of Knowledge Discovery Engines," Mathematics of Knowledge and Search Engines research workshop, University of California, Los Angeles, Institute for Pure and Applied Mathematics, Los Angeles, California, September 2007
  
  
• "An Introduction to Google's PageRank," Mathematics of Knowledge and Search Engines research workshop, University of California, Los Angeles, Institute for Pure and Applied Mathematics, Los Angeles, California, September 2007
  
  
• "Towards the Use of Iterative Denoising for Biological Data Exploration," 2007 Summer Research Conference, Southern Regional Council on Statistics, Richmond, Virginia, June 2007
  
  
• "Knowledge Discovery in Text and Computer Network Data: Getting to Aha!," Department of Physics, The College of William and Mary, Williamsburg, Virginia, April 2007
  
  
• "Knowledge Discovery in Text and Computer Network Data: Getting to Aha!," Department of Systems and Information Engineering, University of Virginia, Charlottesville, Virginia, February 2007
  
  
• "Knowledge Discovery in Text and Computer Network Data: Getting to Aha!," Department of Statistical Sciences and Operations Research, Virginia Commonwealth University, Richmond, Virginia, February 2007
  
  
• "Knowledge Discovery in Large Datasets," School of Sciences, Lynchburg College, Lynchburg, Virginia, May 2006
  
  
• "A Model of Backscatter as Escher Tessellations," Joint Statistical Meetings, Minneapolis, Minnesota, August 2005
  
  
• "The Development and Exploration of Online Classifiers for Backscatter from Denial of Service Attacks," Joint Statistical Meetings, Toronto, Canada, August 2004
  
  
• "On the Spectral Analysis of Backscatter Data," Hawaii International Conference on Statistics, Mathematics, and Related Fields, Honolulu, Hawaii, January 2004
  
  
• "A Backscatter Characterization of Denial of Service Attacks," Joint Statistical Meetings, San Francisco, California, August 2003
  
  
• "Attribute Discretization for Classification," AMCIS 2001 (Americas Conference on Information Systems), Boston, Massachusetts, August 2001
  
  
• "Comparison of Two Families of Entropy-Based Classification Measures With and Without Feature Selection," Hawaii International Conference on System Sciences (HICSS) 2001, Maui, Hawaii, January 2001
  
  
• "Data Mining: Decision Tree Induction and Feature Selection Algorithms," Richmond-Tidewater Chapter of INFORMS Fall Kick-off Meeting, Defense Supply Center Richmond, Richmond, Virginia, October 2000
  
  
• "Falsifiability and the Nolan Stage Hypothesis," Information Systems Department, Virginia Commonwealth University, Richmond, Virginia, September 2000
  
  
• "Robotics, E-commerce, and LEGO Mindstorms: The Value of Virtual Community," Information Systems Department, Virginia Commonwealth University, Richmond, Virginia, March 2000
  
  
• "E-commerce in a Digital World," ITEC '99, Richmond, Virginia, October 1999
  
  
• "Y2K: Where will you be on 12/31/1999?," Society of Advancement of Management, Virginia Commonwealth University, Richmond, Virginia, April 1999
  
  
• "The Benefits of an Industry Internship," School of Electrical and Computer Engineering, Purdue University, West Lafayette, Idiana, 1994
  
  

Education

2007	Ph.D.	Johns Hopkins University	Computer Science
2004	M.S.	Johns Hopkins University	Computer Science
2002	M.S.	Virginia Commonwealth University	Information Systems
1993	M.S.	Purdue University	Electrical Engineering
1991	B.S.	Virginia Tech	Electrical Engineering

Trivia

• My Erdos Number is 4, via four different paths.

Links

• Kendall Giles VCU Homepage
• Mathematics Genealogy
• Systems Modeling Wiki
• VCU Alerts
• VCU Center for Teaching Excellence
• VCU Technology Services
• VCU Travel Regulations

Disclaimer