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Christopher M. Jermaine
Professor
Professor of Computer Science
e-mail:[email protected]
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B.A. Math/Comp. Sci (1993) The University of
California, San Diego, San Diego, CA
M.S. (1997) The Ohio State University, Columbus
Ph.D. (2002) Georgia Institute of Technology, Atlanta,
GA
Primary Department
Department of Computer Science
Websites
Professional Webpage
Research Areas
I work on the design and development of elational database systems and applied statistical
methods. I focus on using tools from probability and statistics within a database to permit
flexible, scalable analysis of database data, with an emphasis on medical applications
Selected Publications
Abstracts
R Myers, JR Ruiz, CM Jermaine, JC Frenzel "A Comparison of Mortality Predictors in Cancer
Surgery Patients." Anesthesia & Analgesia, 123 (2016)
S. Joshi, C. Jermaine "Robust Stratified Sampling Plans for Low Selectivity Queries." Proc.
IEEE ICDE (2008) : p. 471, 12 pages.
Refereed articles
Florin Rusu, Zixuan Zhuang, Mingxi Wu, Chris Jermaine "Workload-Driven Antijoin Cardinality
Estimation." ACM Transactions on Database Systems (TODS), 40 (2015) : 1-41.
Risa B Myers, Christos Lazaridis, Christopher M Jermaine, Claudia S Robertson, Craig G Rusin
"Predicting intracranial pressure and brain tissue oxygen crises in patients with severe
traumatic brain injury." Critical care medicine, 44 (2016) : 1754-1761.
Risa B Myers, John C Frenzel MD, Joseph R Ruiz Md, Christopher M Jermaine "Do
Anesthesiologists Know What They Are Doing? Mining a Surgical Time-Series Database to
Correlate Expert Assessment with Outcomes." ACM Transactions on Knowledge Discovery from
Data (TKDD), 10 (2016) : 1-27.
Yun Yu, Christopher Jermaine, Luay Nakhleh "Exploring phylogenetic hypotheses via Gibbs
sampling on evolutionary networks." BMC Genomics, 17 (2016) : 12-.
Zekai J Gao, Chris Jermaine "Distributed Algorithms for Computing Very Large Thresholded
Covariance Matrices." ACM Transactions on Knowledge Discovery from Data (TKDD), 11
(2016) : 1-25.
Supriya Nirkhiwale, Alin Dobra, Christopher M. Jermaine: A Sampling Algebra for Aggregate
Estimation. PVLDB 6(14): 1798-1809 (2013)
Graham Cormode, Minos N. Garofalakis, Peter J. Haas, Chris Jermaine: Synopses for Massive
Data: Samples, Histograms, Wavelets, Sketches. Foundations and Trends in Databases 4(13): 1-294 (2012)
Jayendra Venkateswaran, Bin Song, Tamer Kahveci, Chris Jermaine: TRIAL: A Tool for Finding
Distant Structural Similarities. IEEE/ACM Trans. Comput. Biology Bioinform. 8(3): 819-831
(2011)
Niketan Pansare, Vinayak R. Borkar, Chris Jermaine, Tyson Condie: Online Aggregation for
Large MapReduce Jobs. PVLDB 4(11): 1135-1145 (2011)
Ravi Jampani, Fei Xu, Mingxi Wu, Luis Leopoldo Perez, Chris Jermaine, Peter J. Haas: The
monte carlo database system: Stochastic analysis close to the data. ACM Trans. Database
Syst. 36(3): 18 (2011)
Mingxi Wu, Chris Jermaine, Sanjay Ranka, Xiuyao Song, John Gums: A Model-Agnostic
Framework for Fast Spatial Anomaly Detection. TKDD 4(4): 20 (2010)
Subi Arumugam, Ravi Jampani, Luis Leopoldo Perez, Fei Xu, Christopher M. Jermaine, Peter J.
Haas: MCDB-R: Risk Analysis in the Database. PVLDB 3(1): 782-793 (2010)
Mingxi Wu, Chris Jermaine "Guessing the extreme values in a data set: a Bayesian method
and its applications." VLDB J 2009, 18(2): 571-597.
Shantanu Joshi, Christopher M. Jermaine "Sampling-based estimators for subset-based
queries." VLDB J 2009, 18(1): 181-202.
Abhijit Pol, Christopher M. Jermaine, Subramanian Arumugam "Maintaining very large random
samples using the geometric file." VLDB J, 17(5) (2008) : 997-1018.
Chris Jermaine, Subramanian Arumugam, Abhijit Pol, Alin Dobra "Scalable approximate query
processing with the DBO engine." ACM Trans. Database Syst., 33(4) (2008)
Fei Xu, Christopher M. Jermaine, Alin Dobra "Confidence bounds for sampling-based group by
estimates." ACM Trans. Database Syst., 33(3) (2008)
Jayendra Venkateswaran, Tamer Kahveci, Christopher M. Jermaine, Deepak Lachwani
"Reference-based indexing for metric spaces with costly distance measures." VLDB J, 17(5)
(2008) : 1231-1251.
Manas Somaiya, Christopher M. Jermaine, Sanjay Ranka "Learning correlations using the
mixture-of-subsets model." ACM Trans. Know. Disc. and Data Mining, 1(4) (2008)
S. Joshi, C. Jermaine "Materialized Sample Views for Database Approximation." IEEE Trans.
Knowl. Data Eng., 20 (3) (2008) : p. 337, 14 pages.
C. Jermaine "Online Random Shuffling of Large Database Tables." IEEE Trans. Knowl. Data
Eng., 19 (1) (2007) : p. 73, 12 pages + 3 page appendix.
X. Song, M. Wu, C. Jermaine, S. Ranka "Conditional Anomaly Detection." IEEE Trans. Knowl.
Data Eng., 19 (5) (2007) : p. 631, 15 pages.
c. Jermaine, E. Omiecinski, W. G. Yee "The Partitioned Exponential File for Database Storage
Management." VLDB Journal, 16 (4) (2007) : P. 417, 21 pages.
C. Jermaine, A. Dobra, S. Arumugam, S. Joshi, A. Pol "The Sort-Merge-Shrink join." ACM
Trans. Database Syst., 31 (4) (2006) : p. 1382, 35 pages + 10 page appendix.
C. Jermaine "Finding the Most Interesting Coorelations in a Database: How Hard Can It
be?." Information Systems, 30 (1) (2005) : p. 21, 25 pages.
W.G. Yee, S.B. Navathe, E. Omiecinski, C. Jermaine "Efficient Data Allocation over Multiple
Channels at Broadcast Servers." IEEE Trans. Computers, 51 (10) (2002) : p. 1231, 6 pages.
Editor of books
Chris Jermaine (Editor) "Special Issue on Approximate Query Processing and
Applications." Bulletin of the Technical Committee on Data Engineering, 38 (2015) : 1-112.
Christian S Jensen, Christopher Jermaine, Xiaofang Zhou (Editors) "Special section on the
international conference on data engineering (Edited Issue)." IEEE Transactions on Knowledge
and Data Engineering, 27 (2015)
Christopher Jermaine, Editor: Databases, Declarative Systems and Machine Learning. The
Bulletin of the EEEE Technical Committee on Data Engineering, September, 2014.
Christian S. Jensen, Christopher M. Jermaine, Xiaofang Zhou (Eds.): 29th IEEE International
Conference on Data Engineering, ICDE 2013, Brisbane, Australia, April 8-12, 2013. IEEE
Computer Society 2013, ISBN 978-1-4673-4909-3
Refereed conference papers
Risa Myers, John Frenzel, Joseph Ruiz, Christopher M. Jermaine "Correlating Surgical Vital
Sign Quality with 30-Day Outcomes Using Regression on Time-Series Segment
Features." Proc. SDM 2015: 11.
Yanxin Lu, Joe Warren, Christopher M. Jermaine, Swarat Chaudhuri, Scott Rixner "Grading the
Graders: Motivating Peer Graders in a MOOC." Proc. WWW 2015: 11.
Anna Drummond and Christopher Jermaine: Senders, Receivers and Authors in Document
Classification. In Proc. IEEE International Conference on Data Mining 2014 (ICDM).
Anna Drummond, Yanxin Lu, Swarat Chaudhuri, Christopher Jermaine, Scott Rixner, and Joe
Warren: Learning to Grade Student Programs in a Massive Open Online Course. In Proc. IEEE
International Conference on Data Mining 2014 (ICDM).
Luis Leopoldo Perez*, Christopher M. Jermaine: History-Driven Query Optimizaton with
Materialized Intermediate Vews. Proc. IEEE ICDE, 2014, 12 pages
Zhuhua Cai*, Luis Leopoldo Perez*, Shangyu Luo*, Jacob Gao*, Zografoula Vagena*,
Christopher M. Jermaine: An Experimental Comparison of Platforms for Implementing
and Executing Large-Scale Machine Learning Codes. Proc. ACM SIGMOD
2014, 12 pages.
Anna Drummond, Chris Jermaine, Zografoula Vagena: Topic Models For Feature Selection in
Document Clustering. SDM 2013: 521-529
B. Bue and C. Jermaine: Multiclass Domain Adaptation with Iterative Manifold Alignment.
In Proc. IEEE WHISPERS 2013, 4 pages
Zhuhua Cai*, Christopher M. Jermaine, Zografoula Vagena*, Dionysios Logothetis, Luis
Leopoldo Perez*: The Pairwise Gaussian Random Field for High-Dimensional Data Imputation.
In Proc. ICDM 2013: 61, 10 pages.
Zhuhua Cai*, Zografoula Vagena*, Luis Leopoldo Perez*, Subramanian Arumugam*,
Peter J. Haas, Christopher M. Jermaine: Simulation of Database-valued Markov Chains
Using SimSQL. In Proc. ACM SIGMOD 2013: 637, 12 pages
Niketan Pansare, Chris Jermaine, Peter J. Haas, Nitendra Rajput: Topic Models over Spoken
Language. ICDM 2012: 1062-1067
Zhuhua Cai, Chris Jermaine: The Latent Community Model for Detecting Sybils in Social
Networks. NDSS 2012, 10 pages
Alin Dobra, Chris Jermaine, Florin Rusu, Fei Xu "Turbo-Charging Estimate Convergence in
DBO." Proc. VLDB, 2010, 1: 419-430.
Fei Xu, Ravi Jampani, Mingxi Wu, Chris Jermaine, Tamer Kahveci: Surrogate ranking for very
expensive similarity queries. ICDE 2010: 848-859
Luis Leopoldo Perez, Subi Arumugam, Christopher M. Jermaine: Evaluation of probabilistic
threshold queries in MCDB. SIGMOD 2010: 687-698
Manas Somaiya, Christopher M. Jermaine, Sanjay Ranka: Mixture models for learning lowdimensional roles in high-dimensional data. KDD 2010: 909-918
Subi Arumugam, Alin Dobra, Christopher M. Jermaine, Niketan Pansare, Luis Leopoldo Perez:
The DataPath system: a data-centric analytic processing engine for large data warehouses.
SIGMOD Conference 2010: 519-53
Mingxi Wu, Xiuyao Song, Chris Jermaine, Sanjay Ranka, John Gums "A LRT Frame-work for
Fast Spatial Anomaly Detection." Proc. ACM KDD 2009 (Runner-up Best Paper Award), p 887:
9.
F. Rusu, F. Xu, L.L. Perez, M. Wu, R. Jampani, C. Jermaine, A. Dobra "The DBO Database
System." Proc. SIGMOD (2008) : p. 1223, 4 pages.
R. Jampani, F. Xu, M. Wu, L. L. Perez, C.M. Jermaine, P.L. Haas "MCDB: a Monte Carlo
approach to Managing Uncertain Data." Proc. SIGMOD (2008) : p. 687, 14 pages.
X. Song, C. Jermaine, S. Ranka, J. Gums "A Bayesian Mixture Model with Linear Regression
Mixing Proportions." Proc. ACM KDD (2008) : 9.
C. Jermaine, S. Arumugam, A. Pol, A. Dobra "Scalable Approximate Query Processing with the
DBO Engine." Proc. ACM SIGMOD (2007) : p. 725, 12 pages.
F. Xu, C. Jermaine "Randomized Algorithms for Data Reconciliation in Wide Area Aggregate
Query Processing." Proc. VLDB (2007) : p 639, 12 pages.
M. Wu, C. Jermaine "A Bayesian Method for Guessing the Extreme Values in a Data Set." Proc.
VLDB (2007) : p. 471, 12 pages.
X. Song, M. Wu, C. Jermaine, S. Ranka "Statistical Change Detection for Multidimensional
Data." Proc. ACM KDD (2007) : p. 667, 10 pages.
J. Venkateswaran, D. Lachwani, T. Kahveci, C. Jermaine "Reference-based Indexing of
Sequence Databases." Proc. VLDB (2006) : p. 906, 12 pages.
M. Wu, C. Jermaine "Outlier Detection by Sampling with Accuracy Guarantees." Proc. ACM
KDD (2006) : p. 767, 6 pages.
R. Jin, L. Glimcher, C. Jermaine, G. Agrawal "New Sampling-Based Estimators for OLAP
Queries." Proc. IEEE ICDE (2006) : p. 86, 10 pages.
S. Arumugam, C. Jermaine "Closest-Point-of-Approach Join for Moving Object Histories." Proc.
IEEE ICDE (2006) : p. 18, 10 pages.
A. Pol, C. Jermaine "Relational Confidence Bounds Are Easy With The Bootstrap." Proc. ACM
SIGMOD (2005) : p. 587, 12 pages.
C. Jermaine, A. Dobra, A. Pol "Online Estimation for Subset-Based SQL Queries." Proc. VLDB
(2005) : p. 745, 12 pages.
C. Jermaine, A. Dobra, S. Arumugam, S. Joshi, A. Pol "A Disk-Based Join With Probabilistic
Guarantees." Proc. ACM SIGMOD (2005) : p. 563, 12 pages.
C. Jermaine, A. Pol, S. Arumugam "Online Maintenance of Very Large Random Samples." Proc.
ACM SIGMOD (2004) : p. 299, 12 pages.
C. Jermaine "Playing Hide-and-Seek With Correlations." Proc. ACM KDD (2003) : p. 242, 6
pages.
C. Jermaine "Robust Estimation With Sampling and Approximate Pre-Aggregation." Proc. VLDB
(2003) : p. 235, 12 pages.
C. Jermaine, E. Omiecinski "Lossy Reduction for Very High Dimensional Data." Proc. IEEE
ICDE (2002) : p. 663, 10 pages.
W.G. Yee, S.B. Navathe, E. Omiecinski, C. Jermaine "Bridging Response Time and EnergyEfficiency in Broadcast Schedule Design." Proc. EDBT (2002) : p. 572, 18 pages.
C. Jermaine "The Computational Complexity of High-Dimensional Correlation Search." Proc.
IEEE ICDE (2001) : p. 249, 7 pages.
C. Jermaine, E. Omiecinski, W.G. Yee "Maintaining a Large Spatial Database with T2SM." Proc.
ACM GIS (2001) : p. 100, 6 pages.
C. Jermaine "Computing Program Modularizations with the k-Cut Method." Proc. WCRE (1999)
: p. 224, 11 pages.
C. Jermaine, A. Datta, E. Omiecinski "A Novel Index Supporting High Volume Data Warehouse
Insertion." Proc. VLDB (1999) : p. 235, 11 pages.
Presentations
Seminar Speaker
"Large Scale Machine Learning with the SimSQL System," University of Wisconsin, Madison
"Large Scale Machine Learning with the SimSQL System," University of Michigan
“Large Scale Bayesian Machine Learning with the Sim-SQL System,” University of Edinburgh,
UK
"Large Scale Bayesian Machine Learning with the Sim-SQL System," EPFL, Switzerland
Editorial Positions
Associate Editor, Proceedings of the Very Large Database Endowment. (2016 - 2016)
Associate Editor, IEEE Transactions on Knowledge and Data Engineering. (2008 - 2013)
Associate Editor, ACM Transactions on Database Systems. (2010 - 2015)
Associate Editor, Very Large Database Journal. (2007 - 2013)
Other, ACM SIGMOD Tutorials Track. (2014 - 2014)
Other, IEEE ICDE Conference Technical Program. (2013 - 2013)
Other, ACM SIGMOD Demonstrations Track. (2011 - 2011)
Other, VLDB PhD Workshop. (2013 - 2013)
Other, VLDB Workshop Program. (2011 - 2011)
Supervised Theses & Dissertations
Laukik Chitnis, Ph.D. n/a. (2008) (Committee Member)
Mark McKenney, Ph.D. n/a. (2008) (Committee Member)
Alexandra Martinez, Ph.D. n/a. (2008) (Committee Member)
Jun Liu, Ph.D. n/a. (2008) (Committee Member)
Hyun Jung Park, Doctoral Towards Accurate Reconstruction of Phylogentic Networks. (2012)
(Committee Member)
Yun Yu, Master of Science From Gene Trees to Species Trees: Algorithms for Parasimonious
Reconciliation. (2012) (Committee Member)
Anna Drummond, Doctoral Statistical Machine Lerning for Text Mining with Markov Chain
Monte Carlo Inference. (2014) (Committee Member)
Niketan Pansare, PhD Large-Scale Online Aggregation Via Distributed Systems. (2014) (Thesis
or Dissertation Director)
Zekai Gao, Masters Distributed Algorithms for Computing Very Large Thresholded Covariance
Matrices. (2014) (Thesis or Dissertation Director)
Ruiqi Liu, MS Performance Analysis and Configuration Selection for Applications in the Cloud.
(2014) (Committee Member)
Rahul Kumar, MS-Thesis Learning to Highlight Relevant Text in Binary Classified. (2014)
(Thesis or Dissertation Director)
Troy Ruths, PhD Population Regulomics: Applying population genetics to the cis-regulome.
(2014) (Committee Member)
Yanxin Lu, MS Improving the efficiency & Quality of Massive Open Online Course by using the
Automated Grading & Feedback generation. (2014) (Committee Member)
Anna Drummond, PhD Extension of Topic Models in Text Analysis. (2014) (Thesis or
Dissertation Director)
Yun Yu, Doctoral Models and Methods for Evolutionary Histories Involving Hybridization and
Incomplete Lineage Sorting. (2014) (Committee Member)
Troy Ruths, Doctoral Population Regulomics: Applying opoulation genetics to the cis-regulome.
(2014) (Committee Member)
Zhuhua Cai, Doctoral Very Large Scale Bayesian Machine Learning. (2014) (Committee
Member)
Anhei Shu, Masters Data Minging of Chinese Social Media. (2014) (Committee Member)
Luis Perez, Doctoral Query Processing and Optimization for Stochastic Analytics. (2015)
(Thesis or Dissertation Director)
Yiting Xia, PhD Contrast Plane Design and Performance Analysis for Optical Multicast-capable
Datacenter Networks. (2016) (Committee Member)
Awards, Prizes, & Fellowships
(T+R)^2 Award, Rice George R. Brown School of Engineering (May, 2016)
Alfred P. Sloan Foundation Research Fellowship, (2008-2010)
ACM SIGMOD Conference Best Paper Award, (2007)
National Science Foundation CAREER Award, NSF (2004)
Positions Held
Associate Editor, Very Large Database Journal. (2011 - 2011)
Program Committee Member, ACM SIGMOD 2012, . (2012 - 2013)
Program Co-Chair. 2013 IEEE ICDE Conference Technical Program.. (2013 - 2013)
Program Committee member, ACM SIGMOD 2013. (2013 - 2013)
Program Committee Member, SIAM Data Mining 2013. (2013 - 2013)
Program Committee member, ACM KDD 2013. (2013 - 2013)
Program Committee Member, VLDB 2012, . (2013 - 2013)
Program Committee Member, IEEE ICDM 2012. (2012 - 2012)
Program Committee Member, ACM SoCC 2013. (2013 - 2013)
Associate Editor, IEEE Transaction on Knowledge and Data Engineering. (2011 - 2011)
Associate Editor, ACM TRansactions on Database systems. (2011 - 2011)
Program Committee Member, CIKM 2012. (2012 - 2012)
Program Committee Member, VLDB. (2004 - 2004)
Program Committee Member, VLDB. (2006 - 2006)
Program Committee Member, VLDB. (2008 - 2008)
Program Committee Member, VLDB. (2005 - 2005)
Program Committee Member, VLDB. (2007 - 2007)
Program Committee Member, ACM KDD. (2007 - 2007)
Program Committee Member, ACM KDD. (2005 - 2005)
Program Committee Member, ACM KDD. (2004 - 2004)
Program Committee Member, ACM SIGMOD. (2006 - 2006)
Program Committee Member, ACM KDD. (2008 - 2008)
Program Committee Member, ACM KDD. (2006 - 2006)