Greg Hamerly

a picture of me
Assistant Professor
Computer Science Department
School of Engineering & Computer Science (Rogers building)
105 Baylor Ave.
Baylor University
Waco, TX 76798-7356, USA
Phone: +1-254-710-6846
Fax: +1-254-710-3889
Email: hamerly at cs dot baylor dot edu

I am an assistant professor of computer science at Baylor University in Waco, Texas. On this webpage you can find more information about my research, teaching, schedule, publications, funding, and other things.

Research

My research is in machine learning, a sub-field of artificial intelligence. I am interested in unsupervised learning methods (clustering, primarily), and improving algorithms like k-means to be faster, give better-quality results, or to act more intelligently (such as by finding the number of clusters). I have applied machine learning to the task of optimizing computer program simulation, in the SimPoint project. I have done work with mixtures of naive Bayes models in unsupervised learning, for the detection of failures in hard drives. I'm very interested in the automation of learning, especially in the applications knowledge discovery in science, such as bioinformatics and astrophysics.

I am currently looking for graduate students to do funded research with me.

Here is my curriculum vitae, here are my publications, and here is my Ph.D. thesis.

Teaching

CSI 3334 Data structures and algorithms Spring 2010, F09, S09, F08, S08, F07, S07, F06, S06, F05, F04
CSI 4336 Computer science theory Fall 09, F08, F07, F06, F05
CSI 4v96 Competitive learning I/II/III Spring 2010, F08, S08, F07, S07, F06, S06, F05
CSI 5325 Introduction to Machine Learning Spring 2010, S09, S08, S07, S06, S05

Weekly schedule (Spring 2010)

Here is my usual weekly schedule for this semester. If you can't stop by my office during office hours, please email me or just stop by at another time; I am usually glad to meet with students at other times.

9:00
9:30
10:00
10:30
11:00
11:30
12:00
12:30
13:00
13:30
14:00
14:30
15:00
15:30
16:00
16:30
17:00
17:30
18:00
18:30
Monday
Tuesday
Wednesday
Thursday
Friday
Data structures
Data structures
Data structures
Competitive learning
Chiam
Machine learning
Machine learning
Office hour
Office hour
Office hour
CPATH meeting
George
CompBio Journal Club

Here is my Google calendar that shows when I have scheduled events.

Publications

  1. Greg Hamerly, Making k-means even faster In proceedings of the 2010 SIAM international conference on data mining (SDM 2010), April 2010. [pdf]
  2. Bing Yin, Greg Hamerly, Hierarchical Stability-Based Model Selection For Clustering Algorithms In proceedings of the International Conference on Machine Learning and Applications, December 2009.
  3. Joshua Johnston, Greg Hamerly, Improving SimPoint accuracy for small simulation budgets with EDCM clustering In proceedings of the Second workshop on Statistical and Machine learning approaches to ARchitectures and compilaTion (SMART '08), January 2008. [pdf]
  4. Erez Perelman, Jeremy Lau, Harish Patil, Aamer Jaleel, Greg Hamerly, Brad Calder, Cross Binary Simulation Points In Proceedings of the International Symposium on Performance Analysis of Systems and Software (ISPASS-2007) March 2007. [pdf]
  5. Yu Feng, Greg Hamerly, PG-means: learning the number of clusters in data. In proceedings of the twentieth annual conference on neural information processing systems (NIPS), December 2006. [ps, pdf]
  6. Greg Hamerly, Erez Perelman, Jeremy Lau, Timothy Sherwood, Brad Calder, Using Machine Learning to Guide Architecture Simulation. Journal of Machine Learning Research, Volume 7, Pages 343-378, 2006. [abstract, pdf]
  7. Greg Hamerly, Erez Perelman, Brad Calder, Comparing Multinomial and K-means clustering for SimPoint. In the 2006 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS-2006), 2006. [abstract, pdf]
  8. Greg Hamerly, Erez Perelman, Jeremy Lau, Brad Calder, SimPoint 3.0: Faster and more flexible program analysis. Journal on Instruction-Level Parallelism (JILP), September, 2005. [pdf]
  9. Greg Hamerly, Erez Perelman, Jeremy Lau, Brad Calder, SimPoint 3.0: Faster and more flexible program analysis. Workshop on Modeling, Benchmarking and Simulation (MoBS), June 2005. [abstract, pdf]
  10. Brad Calder, Timothy Sherwood, Greg Hamerly, Erez Perelman, SimPoint: Picking Representative Samples to Guide Simulation. Chapter 7 in the book Performance Evaluation and Benchmarking, edited by Lizy Kurian John and Lieven Eeckhout; published by CRC Press, 2005.
  11. Jeremy Lau, Erez Perelman, Greg Hamerly, Timothy Sherwood, Brad Calder, Motivation for variable length intervals and hierarchical phase behavior. In the 2005 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS-2005), March 2005. [abstract, pdf]
  12. Jeremy Lau, Jack Sampson, Erez Perelman, Greg Hamerly, Brad Calder, The strong correlation between code signatures and performance. In the 2005 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS-2005), March 2005. [abstract, pdf]
  13. John Seng, Greg Hamerly, Exploring perceptron-based register value prediction. In the second value-prediction and value-based optimization workshop, October 2004. [pdf]
  14. Greg Hamerly, Erez Perelman, Brad Calder, How to use SimPoint to pick simulation points. In ACM SIGMETRICS Performance Evaluation Review, Volume 31(4), March 2004. [abstract, pdf]
  15. Tim Sherwood, Erez Perelman, Greg Hamerly, Suleyman Sair, Brad Calder, Discovering and Exploiting Program Phases. In IEEE Micro: Micro's top picks from computer architecture conferences, November-December 2003 (Vol. 23, No. 6) [pdf].
  16. Greg Hamerly, Charles Elkan, Learning the k in k-means. In proceedings of the seventeenth annual conference on neural information processing systems (NIPS), pages 281-288, December 2003. [ps, pdf] (Older UCSD technical report CS2002-0716 [ps])
  17. Erez Perelman, Greg Hamerly, Brad Calder, Picking Statistically Valid and Early Simulation Points. In proceedings of the international conference on parallel architectures and compilation techniques (PACT), September 2003. [abstract, pdf]
  18. Erez Perelman, Greg Hamerly, Michael Van Biesbrouck, Tim Sherwood, Brad Calder, Using SimPoint for Accurate and Efficient Simulation. In proceedings of the international conference on measurement and modeling of computer systems (SIGMETRICS), June 2003. [abstract, pdf]
  19. Tim Sherwood, Erez Perelman, Greg Hamerly, Brad Calder, Automatically characterizing large scale program behavior. In proceedings of the tenth international conference on architectural support for programming languages and operating systems (ASPLOS), October 2002. [abstract, pdf]
  20. Greg Hamerly, Charles Elkan, Alternatives to the k-means algorithm that find better clusterings. In proceedings of the ACM conference on information and knowledge management (CIKM), pages 600-607, November 2002. [ps] (Older UCSD technical report CS2002-0702 [ps])
  21. Greg Hamerly, Charles Elkan, Bayesian approaches to failure prediction for disk drives. In proceedings of the eighteenth international conference on machine learning (ICML), June 2001. [ps]

Here are links to my coauthors and collaborators: Brad Calder, Charles Elkan, Yu Feng, Aamer Jaleel, Jeremy Lau, Harish Patil, Erez Perelman, Jack Sampson, Suleyman Sair, John Seng, Tim Sherwood, Michael Van Biesbrouck.

As far as I can tell, my Erdös number is 4. One such path is me → Charles Elkan → Russell Greiner → Michael S. O. Molloy → Paul Erdös.

Thesis

Defended on June 26, 2003. Learning structure and concepts in data through data clustering. [ps, 1.8MB] [pdf, 3.6MB]
Thanks to Tom Stepleton at Sony Japan for catching a typo in one of my equations.

Funding

My research and teaching work has been generously supported by the following:

Current and former students

Current/former Affiliations

Links to other things I've done

Copyright © 2004 Greg Hamerly
Computer Science Department
Baylor University

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