Javed Aslam Professor and Associate Dean of Faculty College of

Javed Aslam
Professor and Associate Dean of Faculty
College of Computer and Information Science
Northeastern University
Awards and honors and year received (list--no more than *five* items):
• ASONAM Best Student Paper Award, 2014
• ECIR Best Poster Paper Award, 2013
• Northeastern University Excellence in Teaching Award, Finalist, 2013
• National Science Foundation Career Award, 2001
• Dartmouth College Class of 1962 Faculty Fellow (university-wide teaching award), 2001
Have you previously been involved in any CRA activities? If so, describe.
I have not previously been involved with the CRA.
List any other relevant experience and year(s) it occurred (list--no more than *five* items).
• Northeastern University, College of Computer and Information Science, Associate Dean of
Faculty, Fall 2013–present
• Northeastern University, Academic Plan Steering Committee, Faculty of the Future, Chair
2015-16
• SIGIR 2016, Program co-Chair
• Northeastern University, College of Computer and Information Science, Associate Dean and
Director of the Graduate School, 2013
• SIGIR 2009, General co-Chair.
Research interests: (list only)
• Information retrieval
• Machine learning
• Applications of information theory
• Design and analysis of algorithms
Personal Statement
Within my home discipline of Information Retrieval, I have served as both the Program Chair and
General Chair for the main international conference in the area, SIGIR. Within my university, I
currently serve as the Associate Dean of Faculty within my college, and I serve on the universitywide Academic Plan Steering Committee, chairing the working group on the Faculty of the Future.
I am particularly interested in the issue of interdisciplinarity, both in research and in faculty
development. Fully 1/3 of the faculty in my College have interdisciplinary appointments, including
many that I recruited as Hiring Chair and Associate Dean.
Brief Biography or CV
(Attached)
Javed Alexander Aslam
Office Address
College of Computer and Information Science
Northeastern University
360 Huntington Ave, #202WVH
Boston, MA 02115
(617) 373-8169
jaa@ccs.neu.edu
Home Address
15 Columbine Rd
Weston, MA 02493
(781) 431-4529
Current
Position
Professor and Associate Dean of Faculty, College of Computer and Information Science,
Northeastern University.
Research
Interests
Information retrieval, machine learning, applications of information theory, and the
design and analysis of algorithms.
Education
Massachusetts Institute of Technology
Ph.D. in Electrical Engineering and Computer Science, February 1995.
Thesis: “Noise Tolerant Algorithms for Learning and Searching.”
Advisor: Prof. Ronald L. Rivest.
Minor: Queuing Theory.
Massachusetts Institute of Technology
M.S. in Electrical Engineering and Computer Science, January 1992.
Thesis: “Inferring Graphs from Walks.”
Advisor: Prof. Ronald L. Rivest.
University of Notre Dame
B.S. in Electrical Engineering, summa cum laude, June 1987.
Majors in Mathematics and Electrical Engineering.
Teaching
Experience
Northeastern University
Boston, MA
Average overall student evaluation of teaching e↵ectiveness (28 courses, 545 responses):
4.6/5.0.
Discrete Structures (Fall 2009, Fall 2007, Fall 2006, Fall 2005). An undergraduate course
on discrete mathematics.
Information Retrieval (Spring 2012, Fall 2006). A graduate course on the design and
evaluation of information retrieval systems.
Information Retrieval (Summer 2010, Summer 2009, Summer 2008, Summer 2006, Summer 2005). An undergraduate course on the design and evaluation of information retrieval systems.
Advanced Algorithms (Fall 2012, Fall 2007, Fall 2006, Fall 2004). A graduate course on
the design and analysis of algorithms.
Applications of Information Theory to Computer Science (Fall 2015, Fall 2011, Fall
2008, Fall 2005). A graduate course on information theory and its applications.
Machine Learning (Fall 2014, Fall 2013, Fall 2012, Fall 2011). A graduate course on
machine learning theory, implementation, and applications.
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Theory of Computation (Spring 2004). A graduate course on formal language theory
and formal models of computation.
Theory of Computation (Fall 2009, Fall 2008, Fall 2004, Fall 2003). An undergraduate
course on formal language theory and formal models of computation.
Dartmouth College
Hanover, NH
Average overall student teaching evaluation during tenure-track position (12 courses,
397 responses): 4.86/5.0.
Concepts in Computing (Winter 2000, Summer 1999, Summer 1996). An undergraduate
course o↵ering an introduction to computer science for non-majors.
Algorithms (Fall 2002, Fall 2001, Summer 1999, Fall 1998, Fall 1997, Fall 1996, Fall
1995). An undergraduate course on the design and analysis of algorithms.
Implementation of Programming Languages (Spring 1997). An undergraduate course
on the principles and techniques of compiler construction.
Theory of Computation (Winter 2001, Winter 1997). An undergraduate course on
formal language theory and formal models of computation.
Principles of Programming Languages (Winter 1999, Winter 1998, Winter 1996). An
undergraduate course comparing and contrasting imperative, functional, logical and
object-oriented programming languages.
Programming Languages (Spring 1999, Spring 1998, Spring 1997). A graduate course
covering the design and implementation of imperative, functional, logical and objectoriented programming languages.
Machine Learning and Information Retrieval (Winter 2001). A graduate course covering
computational learning theory and its applications to information retrieval.
Information Theory and Its Applications (Spring 2003). A graduate course covering
information theory and its applications to various other disciplines.
Research
Experience
Northeastern University
Boston, MA
Professor and Associate Professor, College of Computer and Information Science (Fall
2003 – Present). Continuing research in information retrieval, machine learning, applications of information theory, and the design and analysis of algorithms.
Dartmouth College
Hanover, NH
Assistant Professor (Summer 1998 – Summer 2003) and Visiting Assistant Professor
(Fall 1995 – Spring 1998) of Computer Science. Conducted research in computational
learning theory (specifically learning in the presence of noise and the connections between learning theory, information theory and complexity theory) and information retrieval (specifically metasearch and data fusion, o↵-line organization of static data,
on-line organization of dynamic data, and constructing a digital library for functional
magnetic resonance imaging studies).
Harvard University
Cambridge, MA
Post-doctoral position in the Division of Engineering and Applied Sciences (Summer
1994 – Summer 1995). Conducted research on learning in the presence of noise and
other aspects of computational learning theory. Advisor: Leslie Valiant.
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Massachusetts Institute of Technology
Cambridge, MA
Research Assistant (Fall 1987 – Spring 1994). Conducted research in computational
learning theory (learning in the presence of noise), graph algorithms (graph inference and
graph colorability), and fault-tolerant computing (searching in the presence of errors).
Advisor: Ronald Rivest.
Professional
Activities
Conference Organization1
SIGIR 2016, Program co-Chair.
SIGIR 2009, General co-Chair.
Conference Track Organization2
TREC 2015 Temporal Summarization Track, co-organizer.
TREC 2014 Temporal Summarization Track, co-organizer.
TREC 2013 Temporal Summarization Track, co-organizer.
TREC 2008 Million Query Track, co-organizer.
Program Committees
WSDM 2016, SIGIR 2015, WSDM 2015, ECIR 2015, ASONAM 2015, NAACLHLT 2015, SIGIR 2014, ECIR 2014, CIKM 2014, BigData 2014, SIGIR 2013,
OAIR 2013, ICTIR 2013, AIRS 2013, MUBE 2013, SIGIR 2012, ECIR 2012,
CIKM 2012, NAACL-HLT 2012, SIGIR 2011, WWW 2011, CIKM 2011, SIGIR 2010,
WWW 2010, EVIA 2010, SIGIR 2008, ECIR 2008, AIRS 2008, CIKM 2008, EVIA 2008,
SIGIR 2007, CIKM 2007, EVIA 2007, SIGIR 2006, CIKM 2006, IISWC 2006, SIGIR 2005, SIGIR 2004, SIGIR 2003, SIGIR 2002, COLT 2002, ALT 2001, SIGIR 2001.
Funding Panels
National Science Foundation, Intelligent Information Systems, 2014.
National Science Foundation, Information Technology Research, 2002.
Medical Research Council of the United Kingdom, E-Science, 2002.
Other Committees and Panels
Strategic Workshop on Information Retrieval in Lorne, SWIRL 2012.
Olin College Curriculum Assessment Panel, 2003.
IR/LM Information Retrieval and Language Modeling committee, 2002.
Neuroinformatics Task Force of the Organization for Human Brain Mapping, 2001.
Referee/Reviewer
AAAI National Conference on Artificial Intelligence, ACM Symposium on Theory of
Computing, ACM Transactions on Information Systems, Foundations and Trends in
Information Retrieval, IEEE Computing in Science & Engineering. IEEE Symposium
on Foundations of Computer Science, IEEE Transactions on Computers, IEEE Transactions on Mobile Computing, Information and Computation, Information Processing
Letters, Information Retrieval, International Conference on Computing and Information, International Joint Conference on Artificial Intelligence, Journal of the Association
for Computing Machinery, Journal of Computer and System Sciences, Journal of Machine Learning Research, Machine Learning, SIAM Symposium on Discrete Algorithms,
Theoretical Computer Science, Transactions on Information Systems, Transactions on
Knowledge and Data Engineering, and World Wide Web Journal
1
2
SIGIR is the annual ACM Conference on Research and Development in Information Retrieval.
TREC is the annual Text REtrieval Conference sponsored by the National Institute of Standards and Technology.
3
University
Activities
College of Computer and Information Science, Northeastern University
Associate Dean of Faculty, Fall 2013–present
University Academic Plan Steering Committee, Faculty of the Future, Chair 2015–16
Faculty Hiring Committee, Chair 2015–16
Provost Search Committee, Fall 2014–Spring 2015
Cluster Hire Search Committee (Data Science), Chair 2013–14
Dean Search Committee, Chair 2012–14
Associate Dean and Director, Graduate School, Spring–Summer 2013
Faculty Senate Agenda Committee, 2013
Faculty Senate, 2011–13
Graduate Committee, Member 2012–13, 2004–2005
Faculty Senate Ad hoc Committee to Assess the Role of Full-time,
Non-tenure-track Faculty, Member 2012–13
Sabbatical Committee, Chair 2012–13, Member 2011–12
Undergraduate Committee, Member 2011–12, 2003–2004
Committee on “The Future of CS 3500”, Chair 2012, 2010
Ad hoc Undergraduate Curriculum Review Committee, Chair 2011
Faculty Hiring Committee, Chair 2005–2010
Colloquium Chair, 2009–2010, 2003–2004
Tenure Committee, Member 2006–present
Committee to Evaluate the Dean of the College of Health Science, Member 2008
Institute for Information Assurance, Acting Co-director 2006
Committee to Evaluate the Chair of the Mathematics Department, Member 2006
Natural Computing Group, Faculty Advisor 2003–2005
Ad hoc Committee on Workload, Chair 2004
Department of Computer Science, Dartmouth College
Equipment Committee, Chair 2002–2003
Kemeny Prize Committee, Chair and/or Member 1996–2003
Dartmouth Undergraduate Journal of Science, Faculty Advisor 2000–2003
The Basement Project, Faculty Advisor 1999–2003
Swing Kids, Faculty Advisor 1998–2003
Colloquium Chair, 1999–2001
Faculty Recruiting Committee, Member 2000-2001
Freshman Advisor, 2000–2001
Ad hoc Committee on Distance Learning, Member 2001
Ph.D. Admissions Committee, Member 1998–2000
Curriculum Committee, Member 1998–1999
Sta↵ Recruiting Committee, Member 1998–1999
Journal
Articles
On the Network You Keep: Analyzing Persons of Interest Using Cliqster
Saber Shokat Fadaee, Mehrdad Farajtabar, Ravi Sundaram, Javed A. Aslam, and Nikos
I. Passas. In Social Network Analysis and Mining, 5(63):1–14, December 2015.
Harnessing the Power of GPUs to Speed Up Feature Selection for Outlier
Detection
Fatemeh Azmandian, Ayse Yilmazer, Jennifer Dy, Javed A. Aslam, and David R. Kaeli.
In Journal of Computer Science and Technology, 29(3):408–422, May 2014.
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Increasing Evaluation Sensitivity to Diversity
Peter Golbus, Javed A. Aslam, and Charles L. A. Clarke. Invited to appear in Information Retrieval, 16(4):530–555, August 2013.
Virtual Machine Monitor-based Lightweight Intrusion Detection
Fatemeh Azmandian, Micha Moffie, Malak Alshawabkeh, Jennifer G. Dy, Javed A.
Aslam, and David R. Kaeli. In Operating Systems Review, 45(2):38–53, 2011.
Variational Bayes for Modeling Score Distributions
With Keshi Dai, Evangelos Kanoulas, and Virgil Pavlu. Invited to appear in Information
Retrieval, 14(1):47–67, 2011.
Implementing and Evaluating Phrasal Query Suggestions for Proximity
Search
With Alan Feuer and Stefan Savev. Invited to appear in Information Systems,
34(8):711–723, 2009.
Estimating Average Precision When Judgments are Incomplete
With Emine Yilmaz. Invited to appear in Knowledge and Information Systems,
16(2):173-211, 2008.
Derivation of the Tumor Position from External Respiratory Surrogates with
Periodical Updating of the Internal/External Correlation
With E. Kanoulas, G. C. Sharp, R. I. Berbeco, S. Nishioka, H. Shirato, and S. B. Jiang.
In Physics in Medicine and Biology, 52:5443–5456, 2007.
Persistent Queries over Dynamic Text Streams
With Katya Pelekhov and Daniela Rus. In International Journal of Electronic Business,
3(3/4):288–299, 2005.
The Kerf Toolkit for Intrusion Analysis
With Sergey Bratus, David Kotz, Ron Peterson, Daniela Rus, and Brett Tofel. In IEEE
Security & Privacy, 2(6):42–52, 2004.
The Star Clustering Algorithm for Static and Dynamic Information Organization
With Katya Pelekhov and Daniela Rus. In Journal of Graph Algorithms and Applications, 8(1):95–129, 2004.
Three Power-aware Routing Algorithms for Sensor Networks
With Qun Li and Daniela Rus. In Wireless Communications and Mobile Computing,
3(2):187–208, 2003.
The Functional Magnetic Resonance Imaging Data Center (fMRIDC): The
Challenges and Rewards of Large-scale Databasing of Neuroimaging Studies
With John D. Van Horn, Je↵rey S. Grethe, Peter Kostelec, Je↵rey B. Woodward,
Daniela Rus, Daniel Rockmore, and Michael S. Gazzaniga. In Philosophical Transactions of the Royal Society of London B, 356:1323–1339, 2001.
Specification and Simulation of Statistical Query Algorithms for Efficiency
and Noise Tolerance
With Scott E. Decatur. Invited to appear in Journal of Computer and System Sciences,
56(2):191–208, 1998.
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General Bounds on Statistical Query Learning and PAC Learning with Noise
via Hypothesis Boosting
With Scott E. Decatur. In Information and Computation, 141(2):85–118, 1998.
On the Sample Complexity of Noise-Tolerant Learning
With Scott E. Decatur. In Information Processing Letters, 57:189–195, 1996.
On-line Algorithms for 2-Coloring Hypergraphs via Chip Games
With Aditi Dhagat. In Theoretical Computer Science, 112(2):355–369, 1993.
Journal
Abstracts
Derivation of the Tumor Position From External Respiratory Surrogates
with Periodical Updating of External/Internal Correlation
With E. Kanoulas, B. Sharp, R. Berbeco, S. Nishioka, H. Shirato, and S. Jiang. In
Medical Physics, 33(6):2232–2233, June 2006. Presented at the 48th Annual Meeting of
the American Association of Physicists in Medicine (AAPM 2006).
The fMRI Data Center: A Progress Report
With John Van Horn, Je↵rey Woodward, Daniel Rockmore, Joseph Edelman, Bennet
Vance, Sarene Schumacher, and Michael Gazzaniga. In NeuroImage, 19(2), June 2003.
Presented at the 9th International Conference on Functional Mapping of the Human
Brain, June 19–22, 2003, New York, NY.
Statistical Time Course Feature Vectors for Use in Rapid Assessment and
Clustering
With John Darrell Van Horn, Je↵rey Woodward, Je↵rey Grethe, and Michael Gazzaniga. In NeuroImage, 16(2), June 2002. Presented at the 8th International Conference
on Functional Mapping of the Human Brain, June 2–6, 2002, Sendai, Japan.
The fMRI Data Center: An Introduction
With Je↵rey S. Grethe, John D. Van Horn, Je↵rey B. Woodward, Souheil Inati, Peter
J. Kostelec, Daniel Rockmore, Daniela Rus, and Michael S. Gazzaniga. In NeuroImage,
13(6):S135, June 2001. Presented at the 7th International Conference on Functional
Mapping of the Human Brain, June 10–14, 2001, Brighton, UK.
A National Data Center for the Storage and Retrieval of Neuroimaging Data
With Peter Kostelec, Je↵rey Grethe, Daniel Rockmore, Robert Fendrich, Scott Grafton,
and Michael Gazzaniga. In Society for Neuroscience Abstracts, 26(2):2235, 2000.
Book
Chapters
The Star Clustering Algorithm for Information Organization
With Ekaterina Pelekhov and Daniela Rus. In Grouping Multidimensional Data: Recent
Advances in Clustering, pages 1–23. Springer, January 2006.
A Lifetime-Optimizing Approach to Routing Messages in Ad-hoc Networks
With Qun Li and Daniela Rus. In Ad Hoc Wireless Networking, pages 1–43. Networking
Theory and Applications, Vol. 14. Kluwer Academic Publishers, December 2003.
The fMRI Data Center: Software Tools for Neuroimaging Data Management, Inspection, and Sharing
With John Darrell Van Horn, Je↵rey B. Woodward, Geo↵rey Simonds, Bennet Vance,
Je↵rey S. Grethe, Mark Montague, Daniela Rus, Daniel Rockmore, and Michael S.
Gazzaniga. In Neuroscience Databases: A Practical Guide, pages 221–236. Kluwer
Academic Publishers, September 2002.
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Proceedings
Proceedings of the 32nd Annual International ACM SIGIR Conference on
Research and Development in Information Retrieval
Edited with James Allan, Mark Sanderson, ChengXiang Zhai, and Justin Zobel. ACM
Press, July 2009.
Refereed
Conference
Papers
Aggregation of Crowdsourced Ordinal Assessments and Integration with
Learning to Rank: A Latent Trait Model
Pavel Metrikov, Virgil Pavlu, and Javed A. Aslam. In Proceedings of the 24th
ACM International Conference on Information and Knowledge Management (CIKM),
pages 1391–1400. ACM Press, October 2015.
Anytime Planning of Optimal Schedules for a Mobile Sensing Robot
Jingjin Yu, Javed A. Aslam, Sertac Karaman, and Daniela Rus. In Proceedings of the
2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS),
pages 5279–5286. IEEE, September 2015.
Securing Virtual Execution Environments Through Machine Learning-based
Intrusion Detection
Fatemeh Azmandian, David R. Kaeli, Jennifer G. Dy, and Javed A. Aslam. In Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal
Processing (MLSP), pages 1–6. IEEE, September 2015.
The Network You Keep: Analyzing Persons of Interest Using Cliqster
Saber Shokat Fadaee, Mehrdad Farajtabar, Ravi Sundaram, Javed A. Aslam, and Nikos
I. Passas. In Proceedings of the 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pages 122–129. IEEE,
August 2014.
On the Information Di↵erence Between Standard Retrieval Models
Peter Golbus and Javed A. Aslam. In Proceedings of the 37th Annual International ACM
SIGIR Conference on Research and Development in Information Retrieval, pages 1135–
1138. ACM Press, July 2014.
An Analysis of Crowd Workers Mistakes for Specific and Complex Relevance
Assessment Task
Jesse Anderton, Maryam Bashir, Virgil Pavlu, and Javed A. Aslam. In Proceedings of
the 22nd ACM International Conference on Information and Knowledge Management
(CIKM). ACM Press, October 2013.
A Modification of LambdaMART to Handle Noisy Crowdsourced Assessments
Pavel Metrikov, Jie Wu, Jesse Anderton, Virgil Pavlu, and Javed A. Aslam. In Proceedings of the 4th International Conference on the Theory of Information Retrieval
(ICTIR). ACM Press, September 2013.
A Mutual Information-based Framework for the Analysis of Information
Retrieval Systems
Peter Golbus and Javed A. Aslam. In Proceedings of the 36th Annual International
ACM SIGIR Conference on Research and Development in Information Retrieval. ACM
Press, July 2013.
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A Document Rating System for Preference Judgements
Maryam Bashir, Jesse Anderton, Jie Wu, Peter Golbus, Virgil Pavlu, and Javed A.
Aslam. In Proceedings of the 36th Annual International ACM SIGIR Conference on
Research and Development in Information Retrieval. ACM Press, July 2013.
Live Nuggets Extractor: A Semi-automated System for Text Extraction and
Test Collection Creation
Matthew Ekstrand-Abueg, Virgil Pavlu, and Javed A. Aslam. In Proceedings of the
36th Annual International ACM SIGIR Conference on Research and Development in
Information Retrieval. ACM Press, July 2013.
Optimizing nDCG Gains by Minimizing E↵ect of Label Inconsistency
Pavel Metrikov, Virgil Pavlu, and Javed A. Aslam. In Advances in Information Retrieval: 35th European Conference on IR Research (ECIR). Lecture Notes in Computer
Science. Springer-Verlag, April 2013. Best Poster Paper Award.
GPU-Accelerated Feature Selection for Outlier Detection Using the Local
Kernel Density Ratio
Fatemeh Azmandian, Ayse Yilmazer, Jennifer G. Dy, Javed A. Aslam, and David
R. Kaeli. In Proceedings of the 12th IEEE International Conference on Data Mining
(ICDM). IEEE Computer Society, December 2012.
Feature Weighting and Selection Using Hypothesis Margin of Boosting
Malak Alshawabkeh, Javed A. Aslam, Jennifer G. Dy, and David R. Kaeli. In Proceedings of the 12th IEEE International Conference on Data Mining (ICDM). IEEE
Computer Society, December 2012.
Local Kernel Density Ratio-Based Feature Selection for Outlier Detection
Fatemeh Azmandian, Jennifer Dy, Javed A. Aslam, and David R. Kaeli. In Journal of
Machine Learning Research - Proceedings Track, November 2012. Proceedings of the
4th Asian Conference on Machine Learning (ACML).
City-scale Traffic Estimation From a Roving Sensor Network
Javed A. Aslam, Sejoon Lim, Xinghao Pan, and Daniela Rus. In Proceedings of the
10th ACM Conference on Embedded Network Sensor Systems (SenSys). ACM Press,
November 2012.
Constructing Test Collections by Inferring Document Relevance via Extracted Relevant Information
Shahzad Rajput, Matthew Ekstrand-Abueg, Virgiliu Pavlu, and Javed A. Aslam. In
Proceedings of the 21st ACM Conference on Information and Knowledge Management
(CIKM). ACM Press, October 2012.
Enhanced Boosting-based Algorithm for Intrusion Detection in Virtual Machine Environments
Malak Alshawabkeh, David R. Kaeli, Javed A. Aslam, Jennifer G. Dy, and Dana Schaa.
In Proceedings of the First International Workshop on Secure and Resilient Architectures and Systems (SRAS). ACM Press, September 2012.
Securing Cloud Storage Systems Through a Virtual Machine Monitor
Fatemeh Azmandian, David R. Kaeli, Jennifer G. Dy, Javed A. Aslam, and Dana Schaa.
In Proceedings of the First International Workshop on Secure and Resilient Architectures
and Systems (SRAS). ACM Press, September 2012.
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Congestion-aware Traffic Routing System using Sensor Data
Javed A. Aslam, Sejoon Lim, and Daniela L. Rus. In Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems (ITSC). IEEE, September 2012.
Markov-Based Redistribution Policy Model for Future Urban Mobility Networks
Mikhail Volkov, Javed A. Aslam, and Daniela Rus. In Proceedings of the 15th International IEEE Conference on Intelligent Transportation Systems (ITSC). IEEE, September 2012.
Impact of Assessor Disagreement on Ranking Performance
Pavel Metrikov, Virgiliu Pavlu, and Javed A. Aslam. In Proceedings of the 35th Annual
International ACM SIGIR Conference on Research and Development in Information
Retrieval. ACM Press, August 2012.
Extended Expectation Maximization for Inferring Score Distributions
Keshi Dai, Evangelos Kanoulas, Virgil Pavlu, and Javed A. Aslam. In Advances in
Information Retrieval: 34th European Conference on IR Research (ECIR), April 2012.
IR System Evaluation using Nugget-based Test Collections
Virgil Pavlu, Shahzad Rajput, Peter B. Golbus, and Javed A. Aslam. In Proceedings
of the Fifth ACM International Conference on Web Search and Data Mining (WSDM),
February 2012.
Feature Selection Metric Using AUC Margin for Small Samples and Imbalanced Data Classification Problems
Malak Alshawabkeh, Javed A. Aslam, Jennifer Dy, and David Kaeli. In Proceedings of
the Tenth International Conference on Machine Learning and Applications (ICMLA),
December 2011.
A Novel Feature Selection for Intrusion Detection in Virtual Machine Environments
Malak Alshawabkeh, Javed A. Aslam, David Kaeli, and Jennifer Dy. In Proceedings of
the 23rd IEEE International Conference on Tools with Artificial Intelligence (ICTAI),
November 2011.
A Nugget-based Test Collection Construction Paradigm
Shahzad Rajput, Virgil Pavlu, Peter B. Golbus, and Javed A. Aslam. In Proceedings
of the 20th ACM Conference on Information and Knowledge Management (CIKM),
October 2011.
Workload Characterization at the Virtualization Layer
Fatemeh Azmandian, Micha Moffie, Jennifer G. Dy, Javed A. Aslam, and David R.
Kaeli. In Proceedings of the 19th Annual Meeting of the IEEE International Symposium
on Modeling, Analysis and Simulation of Computer and Telecommunications Systems
(MASCOTS), July 2011.
A Large-scale Study of the E↵ect of Training Set Characteristics over
Learning-to-rank Algorithms
Evangelos Kanoulas, Stefan Savev, Pavel Metrikov, Virgiliu Pavlu, and Javed A. Aslam.
In Proceedings of the 34th Annual International ACM SIGIR Conference on Research
and Development in Information Retrieval, July 2011.
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Constructing Collections for Learning to Rank
Emine Yilmaz, Evangelos Kanoulas, Stephen Robertson, and Javed Aslam. In Proceedings of the 11th Dutch-Belgian Information Retrieval Workshop (DIR), February 2011.
E↵ective Virtual Machine Monitor Intrusion Detection Using Feature Selection on Highly Imbalanced Data
With Malak Alshawabkeh, Micha Moffie, Fatemeh Azmandian, Jennifer Dy, and David
Kaeli. In Proceedings of the Ninth International Conference on Machine Learning and
Applications(ICMLA), December 2010.
Score Distribution Models: Assumptions, Intuition, and Robustness to Score
Manipulation
With Evangelos Kanoulas, Keshi Dai, and Virgiliu Pavlu. In Proceedings of the 33rd
Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 2010.
Empirical Justification of the Gain and Discount Function for nDCG
With Evangelos Kanoulas. In Proceedings of the Eighteenth ACM Conference on Information and Knowledge Management (CIKM), November 2009.
Modeling the Score Distributions of Relevant and Non-relevant Documents
With Evangelos Kanoulas, Virgil Pavlu, and Keshi Dai. In Proceedings of the 3rd
International Conference on Theory in Information Retrieval (ICTIR), September 2009.
Document Selection Methodologies for Efficient and E↵ective Learning-torank
With Evangelos Kanoulas, Virgil Pavlu, Stefan Savev, and Emine Yilmaz. In Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and
Development in Information Retrieval, July 2009.
If I Had a Million Queries
With Ben Carterette, Virgil Pavlu, Evangelos Kanoulas, and James Allan. In Advances
in Information Retrieval: 31st European Conference on IR Research (ECIR), April 2009.
On Auditing Elections When Precincts Have Di↵erent Sizes
With Raluca A. Popa and Ronald L. Rivest.
In Proceedings of the 2008
USENIX/ACCURATE Electronic Voting Technology Workshop (EVT), July 2008.
Evaluation Over Thousands of Queries
With Ben Carterette, Virgil Pavlu, Evangelos Kanoulas, and James Allan. In Proceedings of the 31st Annual International ACM SIGIR Conference on Research and
Development in Information Retrieval, July 2008.
A New Rank Correlation Coefficient for Information Retrieval
With Emine Yilmaz and Stephen Robertson. In Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval,
July 2008.
A Simple and Efficient Sampling Method for Estimating AP and NDCG
With Emine Yilmaz and Evangelos Kanoulas. In Proceedings of the 31st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval,
July 2008.
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Inferring Document Relevance from Incomplete Information
With Emine Yilmaz. In Proceedings of the Sixteenth ACM Conference on Information
and Knowledge Management (CIKM), November 2007.
Evaluation of Phrasal Query Suggestions
With Alan Feuer and Stefan Savev. In Proceedings of the Sixteenth ACM Conference
on Information and Knowledge Management (CIKM), November 2007.
On Estimating the Size and Confidence of a Statistical Audit
With Raluca A. Popa and Ronald L. Rivest.
In Proceedings of the 2007
USENIX/ACCURATE Electronic Voting Technology Workshop (EVT), August 2007.
Query Hardness Estimation Using Jensen-Shannon Divergence Among Multiple Scoring Functions
With Virgil Pavlu. In Advances in Information Retrieval: 28th European Conference
on IR Research (ECIR), 2007.
Semi-supervised Data Organization for Interactive Anomaly Analysis
With Virgil Pavlu and Sergey Bratus. In Proceedings of the Fifth International Conference on Machine Learning and Applications (ICMLA), December 2006.
Estimating Average Precision with Incomplete and Imperfect Judgments
With Emine Yilmaz. In Proceedings of the Fifteenth ACM International Conference on
Information and Knowledge management (CIKM), August 2006.
A Statistical Method for System Evaluation Using Incomplete Judgments
With Virgil Pavlu and Emine Yilmaz. In Proceedings of the 29th Annual International
ACM SIGIR Conference on Research and Development in Information Retrieval, August 2006.
Inferring Document Relevance via Average Precision
With Emine Yilmaz. In Proceedings of the 29th Annual International ACM SIGIR
Conference on Research and Development in Information Retrieval, August 2006.
A Geometric Interpretation and Analysis of R-precision
With Emine Yilmaz. In Proceedings of the Fourteenth ACM International Conference
on Information and Knowledge Management (CIKM), October 2005.
The Maximum Entropy Method for Analyzing Retrieval Measures
With Emine Yilmaz and Virgil Pavlu. In Proceedings of the 28th Annual International
ACM SIGIR Conference on Research and Development in Information Retrieval, August 2005.
A Geometric Interpretation of R-precision and Its Correlation with Average
Precision
With Emine Yilmaz and Virgil Pavlu. In Proceedings of the 28th Annual International
ACM SIGIR Conference on Research and Development in Information Retrieval, August 2005.
Measure-based Metasearch
With Virgil Pavlu and Emine Yilmaz. In Proceedings of the 28th Annual International
ACM SIGIR Conference on Research and Development in Information Retrieval, August 2005.
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A Sampling Technique for Efficiently Estimating Measures of Query Retrieval Performance Using Incomplete Judgments
With Virgil Pavlu and Emine Yilmaz. In Proceedings of the Workshop on Learning
with Partially Classified Training Data at the 22nd International Conference on Machine Learning (ICML), August 2005.
Kerf: Machine Learning to Aid Intrusion Analysts
In Proceedings of the 13th USENIX Security Symposium, August 2004. Work-in-progress
report.
Tracking a Moving Object with a Binary Sensor Network
With Zack Butler, Florin Constantin, Valentino Crespi, George Cybenko, and Daniela
Rus. In Proceedings of the First International Conference on Embedded Networked
Sensor Systems (SenSys), November 2003.
A Unified Model for Metasearch, Pooling, and System Evaluation
With Virgiliu Pavlu and Robert Savell. In Proceedings of the Twelfth International
Conference on Information and Knowledge Management (CIKM), November 2003.
A Unified Model for Metasearch and the Efficient Evaluation of Retrieval
Systems via the Hedge Algorithm
With Virgiliu Pavlu and Robert Savell. In Proceedings of the 26th Annual International
ACM SIGIR Conference on Research and Development in Information Retrieval, July
2003.
On the E↵ectiveness of Evaluating Retrieval Systems in the Absence of Relevance Judgments
With Robert Savell. In Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 2003.
An Information-theoretic Measure for Document Similarity
With Meredith Frost. In Proceedings of the 26th Annual International ACM SIGIR
Conference on Research and Development in Information Retrieval, July 2003.
The Kerf Toolkit for Intrusion Analysis
With Sergey Bratus, David Kotz, Ron Peterson, Daniela Rus, and Brett Tofel. In
Proceedings of the 2003 IEEE Workshop on Information Assurance, June 2003.
Distributed Energy-conserving Routing Protocols
With Qun Li and Daniela Rus. In Proceedings of the Thirty-Sixth Annual Hawaii
International Conference on System Sciences (HICSS), January 2003.
Condorcet Fusion for Improved Retrieval
With Mark Montague. In Proceedings of the Eleventh International Conference on
Information and Knowledge Management (CIKM), November 2002.
Relevance Score Normalization for Metasearch
With Mark Montague. In Proceedings of the Tenth International Conference on Information and Knowledge Management (CIKM), November 2001.
Models for Metasearch
With Mark Montague. In Proceedings of the 24th Annual International ACM SIGIR
Conference on Research and Development in Information Retrieval, September 2001.
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Metasearch Consistency
With Mark Montague. In Proceedings of the 24th Annual International ACM SIGIR
Conference on Research and Development in Information Retrieval, September 2001.
Online Power-aware Routing in Ad hoc Wireless Networks
With Qun Li and Daniela Rus. In Proceedings of the Seventh Annual International
Conference on Mobile Computing and Networking (MOBICOM), July 2001.
Using Mobile Agents for Analyzing Intrusion in Computer Networks
With Marco Cremonini, David Kotz, and Daniela Rus. In Proceedings of the Seventh
ECOOP Workshop on Mobile Object Systems, June 2001.
Hierarchical Power-aware Routing in Sensor Networks
With Qun Li and Daniela Rus. In Proceedings of the DIMACS Workshop on Pervasive
Networking, May 2001.
Clustering Data without Prior Knowledge
With Alain Leblanc and Cli↵ Stein. In Algorithm Engineering: 4th International Workshop (WAE 2000). Lecture Notes in Computer Science, Vol. 1982. Springer, 2001.
Using Star Clusters for Filtering
With Katya Pelekhov and Daniela Rus. In Proceedings of the Ninth International Conference on Information and Knowledge Management (CIKM), November 2000.
Improving Algorithms for Boosting
In Proceedings of the Thirteenth Annual Conference on Computational Learning Theory
(COLT), July 2000.
Automatic Information Organization
With Katya Pelekhov and Daniela Rus. In Proceedings of the International Conference
on Advances in Infrastructure for Electronic Business, Science, and Education on the
Internet (SSGRR), July 2000.
Bayes Optimal Metasearch: A Probabilistic Model for Combining the Results of Multiple Retrieval Systems
With Mark Montague. In Proceedings of the 23rd Annual International ACM SIGIR
Conference on Research and Development in Information Retrieval, July 2000.
Scalable Information Organization
With Fred Reiss and Daniela Rus. In Proceedings of the 6th Conference on ContentBased Multimedia Information Access (RIAO), April 2000.
A Practical Clustering Algorithm for Static and Dynamic Information Organization
With Katya Pelekhov and Daniela Rus. In Proceedings of the Tenth Annual ACM-SIAM
Symposium on Discrete Algorithms (SODA), January 1999.
Improved Bicriteria Existence Theorems for Scheduling
With April Rasala, Cli↵ Stein, and Neal Young. In Proceedings of the Tenth Annual
ACM-SIAM Symposium on Discrete Algorithms (SODA), January 1999.
Static and Dynamic Information Organization with Star Clusters
With Katya Pelekhov and Daniela Rus. In Proceedings of the 1998 ACM CIKM International Conference on Information and Knowledge Management, November 1998.
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Generating, Visualizing and Evaluating High-Quality Clusters for Information Organization
With Daniela Rus and Katya Pelekhov. In Principles of Digital Document Processing:
4th International Workshop (PODDP). Lecture Notes in Computer Science, Vol. 1481.
Springer, 1998.
Specification and Simulation of Statistical Query Algorithms for Efficiency
and Noise Tolerance
With Scott E. Decatur. In Proceedings of the Eighth Annual ACM Conference on
Computational Learning Theory (COLT), July 1995.
General Bounds on Statistical Query Learning and PAC Learning with Noise
via Hypothesis Boosting
With Scott E. Decatur. In Proceedings of the Thirty-Fourth Annual Symposium on
Foundations of Computer Science (FOCS), November 1993.
Searching in the Presence of Linearly Bounded Errors
With Aditi Dhagat. In Proceedings of the Twenty-Third Annual ACM Symposium on
Theory of Computing (STOC), May 1991.
Inferring Graphs from Walks
With Ronald L. Rivest. In Proceedings of the Third Annual Workshop on Computational
Learning Theory (COLT), August 1990.
Unrefereed
Papers
Frontiers, Challenges, and Opportunities for Information Retrieval
James Allan, et al. In ACM SIGIR Forum, 46(1):2–32, June 2012.
Empirical Justification of the Discount Function for nDCG [abstract]
With Evangelos Kanoulas. In Proceedings of the SIGIR 2008 Workshop: Beyond Binary
Relevance: Preferences, Diversity and Set-Level Judgments, July 2008.
Million Query Track 2007 Overview
With James Allan, Ben Carterette, Virgil Pavlu, Blagovest Dachev, and Evangelos
Kanoulas. In The Sixteenth Text REtrieval Conference Proceedings (TREC 2007). National Institute of Standards and Technology, November 2007.
The Hedge Algorithm for Metasearch at TREC 2007
With Virgil Pavlu and Olena Zubaryeva. In The Sixteenth Text REtrieval Conference
Proceedings (TREC 2007). National Institute of Standards and Technology, November
2007.
The Hedge Algorithm for Metasearch at TREC 2006
With Virgil Pavlu and Carlos Rei. In The Fifteenth Text REtrieval Conference Proceedings (TREC 2006). National Institute of Standards and Technology, September
2007.
The Kerf Toolkit for Intrusion Analysis
With Sergey Bratus, David Kotz, Ron Peterson, and Daniela Rus. In IAnewsletter,
8(2):12–16, 2005.
The Kerf Toolkit for Intrusion Analysis
With Sergey Bratus, David Kotz, Ron Peterson, Daniela Rus, and Brett Tofel. Dartmouth College, Department of Computer Science technical report TR2004-493, March
2004.
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Challenges in Information Retrieval and Language Modeling
With James Allan, et al. In SIGIR Forum, 37(1):31–47, 2003.
Simple Bounds on the Expected Height of a Randomly Built Binary
Search Tree
Dartmouth College, Department of Computer Science technical report TR2001-387,
2001.
Bayes Optimal Metasearch: A Probabilistic Model for Combining the Results of Multiple Retrieval Systems
With Mark Montague. Dartmouth College, Department of Computer Science technical
report TR2000-382, 2000.
Using High-Quality Clusters for Summarizing and Visualizing Large Document Collections
With Daniela Rus and Katya Pelekhov. In Proceedings of the 1997 SIGIR Workshop
on Information Reduction in Information Retrieval, Summarization and Visualization,
July 1997.
Computing Dense Clusters On-Line for Information Organization
With Daniela Rus and Katya Pelekhov. Dartmouth College, Department of Computer
Science technical report PCS-TR97-324, 1997.
Generating, Visualizing and Evaluating High-Quality Clusters for Information Organization
With Daniela Rus and Katya Pelekhov. Dartmouth College, Department of Computer
Science technical report PCS-TR97-319, 1997.
Noise Tolerant Algorithms for Learning and Searching
MIT Laboratory for Computer Science technical report MIT/LCS/TR-657, 1995. Ph.D.
thesis.
Improved Noise-Tolerant Learning and Generalized Statistical Queries
With Scott E. Decatur. Harvard University, Center for Research in Computing Technology technical report TR-17-94, 1994.
Boosting Weak Hypotheses in the Statistical Query Model
With Scott E. Decatur. In Proceedings of the 1993 MIT CBCL Learning Day at Endicott, April 1993.
Inferring Graphs from Walks
Masters thesis, MIT, January 1992.
On-Line Algorithms for 2-Coloring Hypergraphs via Chip Games
With Aditi Dhagat.
MIT Laboratory for Computer Science technical report
MIT/LCS/TM-439, 1990.
Funding
Awarded
Code-set Prediction Project
Massachusetts General Hospital. Principal investigator. $50,177 awarded for the period
07/01/15 through 04/30/16.
Optimal Allocation of Crowdsourced Resources for IR Evaluation
National Science Foundation. Principal investigator. $499,677 awarded for the period
08/15/14 through 07/31/17.
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A Nugget-Based Information Retrieval Evaluation Paradigm
National Science Foundation. Principal investigator. $150,000 awarded for the period
09/15/12 through 02/28/14, extended to 02/18/15.
Research Partnership in Clinical Information Retrieval
US Department of Veterans A↵airs. Principal investigator with Mirek Riedewald (coPI). $24,677.26 awarded for the period 1/27/2013 through 1/26/2014.
Collection Construction Methodologies for Learning-to-Rank
National Science Foundation. Principal investigator. $488,723 awarded for the period
09/01/10 through 08/31/13.
Research Partnership in Clinical Information Retrieval
US Department of Veterans A↵airs. Principal investigator with Mirek Riedewald (coPI). $24,000 awarded for the period 1/27/2012 through 1/26/2013.
Analysis and Evaluation of Measures of Retrieval Performance
National Science Foundation. Principal investigator. $300,000 awarded for the period
07/01/06 through 06/30/09, extended to 06/30/10.
Mining the Figures and Text of the Biological Literature
National Science Foundation. Co-principal investigator with Robert Futrelle (PI) and
Peter Tarasewich (co-PI). $150,580 awarded for the period 09/01/06 through 08/31/09.
Risk Assessment
Liberty Mutual Insurance. Principal investigator. $50,000 awarded for FY 2006–2010
as part of a gift to the University and College.
MRI: Enabling Research on Terabyte-scale Datasets
National Science Foundation. Co-principal investigator with Gene Cooperman (PI) and
Ravi Sundaram, Jennifer Dy, and David Kaeli (co-PIs). $199,000 awarded for the period
08/01/06 through 07/31/08.
CAREER: An Information-Theoretic Approach to Computational Learning
with Applications
National Science Foundation. Principal investigator. $250,002 originally awarded
through Dartmouth College for the period 07/01/01 through 06/30/06; $173,737 transferred and awarded through Northeastern University for the period 09/01/03 through
08/31/07.
Kerf: A Toolkit for Intrusion Analysis
Institute for Security Technology Studies. Principal investigator. $75,449 awarded for
the period 09/01/05 through 08/31/06.
The National fMRI Data Center
National Science Foundation. Co-principal investigator with Michael Gazzaniga (PI)
and Daniel Rockmore (Co-PI). $4,682,260 awarded for FY 1999–2004. Extended to
Fall 2006.
The Kerf Toolkit for Intrusion Analysis
Department of Homeland Security, Institute for Security Technology Studies. Coprincipal investigator with David Kotz (PI) and Daniela Rus (co-PI). $1,013,507
awarded for FY 2003–2005.
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Infrastructure for Distributed Collaboration in Detecting Network Attacks
Department of Justice, Institute for Security Technology Studies. Co-principal investigator with David Kotz (PI) and Daniela Rus (co-PI). $491,876 awarded for AY 2001–
2002.
Assessing and Mining of Data from Network Sensors
Department of Justice, Institute for Security Technology Studies. Co-principal investigator with David Kotz (PI) and Daniela Rus (co-PI). $153,379 awarded for AY 2000–
2001.
National fMRI Data Center at Dartmouth College
William M. Keck Foundation. Co-principal investigator with Michael Gazzaniga (PI)
and Daniel Rockmore (Co-PI). $1,000,000 awarded for FY 2000–2001.
Honors and
Awards
ASONAM Best Student Paper Award
2014
Awarded for “The Network You Keep: Analyzing Persons of Interest using Cliqster,”
Saber Shokat Fadaee, Mehrdad Farajtabar, Ravi Sundaram, Javed A. Aslam, and Nikos
Passas.
ECIR Best Poster Paper Award
2013
Awarded for “Optimizing nDCG Gains by Minimizing E↵ect of Label Inconsistency,”
Pavel Metrikov, Virgiliu Pavlu, and Javed A. Aslam.
Excellence in Teaching Award, Finalist
2013
One of 25 finalists among 200 nominations for the 2013 Northeastern University Excellence in Teaching Award.
National Science Foundation Career Award
2001 – 2005
Awarded for career grant entitled “An Information-Theoretic Approach to Computational Learning with Applications.”
Class of 1962 Faculty Fellow
2001 – 2002
Awarded by Dartmouth College for “demonstrated excellence in undergraduate teaching
and promise as a scholar.”
Dartmouth Review Top 20 Professor
1999 – 2003
Awarded by a student-run Dartmouth College newspaper for excellence in teaching.
General Electric Foundation Fellowship
1987 – 1988
Awarded by the General Electric Corporation for graduate study at MIT.
Steiner Prize
1987
Awarded by the University of Notre Dame for “academic excellence in engineering.”
General Motors Scholar
Tau Beta Pi
Eta Kappa Nu
Students
1985 – 1987
Elected 1986
Elected 1985
Postdoctoral Advisor
Virgil Pavlu (current), Sergey Bratus, and Mark Montague.
Ph.D. Graduates
Pavel Metrikov, 2015.
Thesis: “Relevance Assessment (Un-)Reliability in Information Retrieval:
Minimizing Negative Impact”
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Maryam Bashir, 2014.
Thesis: “Optimally Selecting and Combining Assessment and Assessor Types
for Information Retrieval Evaluation”
Peter Golbus, 2014.
Thesis: “Beyond Measuring Performance: Targeted Meta-Evaluations for Diversity
and an Information-Theoretic Framework for the Analysis of Search Engines”
Stefan Savev, 2012.
Thesis: “Collection Construction Methodologies for Learning to Rank”
Shahzad Rajput, 2012.
Thesis: “A Nugget-based Test Collection Construction Paradigm”
Keshi Dai, 2012.
Thesis: “Modeling Score Distributions for Information Retrieval”
Evangelos Kanoulas, 2009.
Thesis: “Building Reliable Test and Training Collections in Information Retrieval”
Virgil Pavlu, 2008.
Thesis: “Large Scale IR Evaluation”
Emine Yilmaz, 2007.
Thesis: “Informative and Efficient Evaluation of Retrieval Systems”
Alan Feuer, 2007.
Thesis: “Increasing Conversation in Proximity Search Using Phrasal Query Suggestions”
Robert Savell, 2005.
Thesis: “On-line Metasearch, Pooling, and System Evaluation”
Mark Montague, 2002.
Thesis: “Metasearch: Data Fusion for Document Retrieval”
Ph.D. Thesis Advisor (current)
Jesse Anderton, Maryam Aziz, Matthew Ekstrand-Abueg, Cheng Li, and Bingyu Wang.
Ph.D. Thesis Committee Member (past)
Tim Smith, Bahar Qarabaqi, Karl Wiegand, Malak Alshawabkeh, Fatemeh Azmandian,
Nick Blumm, Peter Dillinger, Cheng Wu, Mingyan Shao, Ben Carterette, Keary LeBeau,
Micha Moffie, Jun Gong, Guolong Lin, Anna Shubina, Wenxu Tong, Viet Ha Nguyen,
Huanmei Wu, Qun Li, David Wagner, Clint Hepner, Brian Premore, Scott McElfrish,
and Katya Pelekhov.
M.S. Graduates
Jie Wu, 2013.
Thesis: “Applying EM to Compute Document Relevance from Crowdsourced
Pair Preferences”
Joshua Hodosh, 2010.
Thesis: “Learning Malicious Activity Using Virtual Machine Introspection”
Meredith Frost, 2005.
Thesis: “Evaluating Information-theoretic Similarity Measures for Documents”
John Thomas, 2004.
Thesis: “Bicriteria Existence Theorems for Scheduling via Weighted Average Loss”
M.S. Research Advisor (current)
Paul Grosu.
M.S. Research Advisor (past)
Sam Scarano, Patrick Redmond, Galen Wilkerson, Vidji Shah, Prasanna Pilla, and
Olena Zubaryeva.
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M.S. Thesis Committee Member (past)
Rahul Verma, Fatemeh Azmandian and Tim Morgan.
Honors Thesis Supervisor
Paul Seligman, Lisa Torrey, Sebastien Lahaie, Zach Berke, David Latham, Fred Reiss,
Dan Scholnick, Ann DeBord, Je↵ Isaacs, Jason Whaley, Matt Carter, Jack Pien,
Michael Pryor, and Eric Hagen.
Undergraduate Research Supervisor
Daniel Matysiak, Chris Lambert, Carlos Rei, Kevin Roche, David Marmaros,
Jay Cormier, Ken Yasuhara, and Morgan Soutter.
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