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Short Biography
Dr.
Eugene Santos, Jr. received his B.S. ('85) in Mathematics and Computer
Science from Youngstown State University, a M.S. ('86) in Mathematics (specializing
in Numerical Analysis) from Youngstown State University, as well as Sc.M. ('88) and Ph.D. ('92) degrees in Computer Science
from Brown University. He is currently Professor of Engineering in the Thayer School of Engineering at Dartmouth College, Hanover,
NH. His areas of research interest include artificial intelligence, intent
inferencing, neural networks, automated reasoning, decision science, adversarial
reasoning, user modeling, natural language processing, probabilistic
reasoning, and knowledge engineering, verification and validation, protein
folding, load balancing, virtual reality, and active user interfaces. He has
served on many major conference program committees
from intelligent agents to evolutionary computing. He is currently
Editor-in-Chief for the IEEE Transactions on Systems, Man,
and Cybernetics: Part B, an associate editor for the International Journal of
Image and Graphics, and is also on the editorial advisor board for System and Information Sciences
Notes and on the editorial board for Journal
of Intelligent Information Systems. He also has many hobbies
including volleyball, music composition, wood working, science fiction,
raising goldfish and Koi, and Chinese culture. He
was born in 1968 in Youngstown,
Ohio.
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Active
Research Grants (as
of May 2008)
- (PI:)
Santos, Eugene, Jr. and (co-PI:) Rosen, Joseph,
“Complex Adaptive Problem Solving for Teams in Critical Care
Environments,” Office of Naval
Research, pending final contracting, $570k, 6/2008 - 5/2011.
- (PI:)
Santos, Eugene, Jr. and (co-PI:) Nguyen, Hien,
“Enabling a Collaborative Problem-Solving Framework Through User Modeling
of the Analytic Process,” Disruptive
Technology Office, AFRL Grant No. FA8750-07-2-0921, $1.002M, 8/2007 –
10/2010.
- (PI:)
Santos, Eugene, Jr. and (co-PI:) Cybenko, George V., “Ontology Generation and Evolution
Processor,” Department of Defense
(via Securboration, Inc.), Grant No. FA8750-08-C-0109, $100k, 3/2008 -
2/2010.
- (PI:)
Santos, Eugene, Jr., “A Framework for Adversarial Social
Networks,” Defense
Threat Reduction Agency (via Virginia Tech), Grant No.
HDTRA1-07-1-0003, $210k, 1/2007 - 1/2010.
- (PI:) Santos, Eugene, Jr., “On Insider Threats, Deception, and User Modeling,” Air
Force Office of Scientific Research, Grant No. FA9550-07-1-0050,
$396k, 12/2006 - 11/2009.
- (PI:) Santos, Eugene, Jr. and (co-PI:) Santos, Eunice E.,
“On Effectively Handling Large Volumes of Geospatial Intelligence Information:
A Formal Distributed Real-Time Processing Approach,” National
Geospatial-Intelligence Agency,
Grant No. HM1582-04-1-2027, $701k, 6/2004 - 6/2009.
- (PI:) Santos, Eugene, Jr., “Cybercafe: Cyber-PMESII Commander’s Analysis of
Forecast Effects,” Department of
Defense (via BAE Systems National Security Solutions, Inc.), $40k,
4/2008 - 1/2009.
- (PI:)
Santos,
Eugene, Jr., and (co-PIs:) Bradshaw, Jeff, Feltovich, Paul, Pratto,
Felicia, and Santos,
Eunice E., “On the Effects of Culture and Society on Adversarial Attitudes
and Behaviors,” Air Force Office of Scientific Research, Grant No. FA9550- 06-1-0169,
$690k, 1/2006 - 12/2008.
- (PI:) Santos, Eugene, Jr., “Fused Intent
System,” Office of Naval Research (via Securboration, Inc.), Grant No. N00014-06-C-0020,
$75k, 3/2006 - 12/2008.
- (Joint-PIs:) Santos, Eunice E. and Santos, Eugene, Jr., “Effective Computer
Modeling for Next Generation Breast Cancer Research,” DoD Breast Cancer Research Program (DoD-BCRP), Grant No. W81XWH-07-0704, $120k, 9/2007
– 9/2008.
- (PI:)
Santos,
Eugene, Jr., “Dynamic Adversarial Gaming Algorithms,” Department of
Defense (via Securboration, Inc.), Grant No. FA9550-06-C-0035, $250k, 7/2006 - 6/2008.
Research Areas and Selected Publications (as of May 2008)
Adversarial Modeling and Intent
·
Santos, Eugene,
Jr., McQueary, Bruce, and Krause, Lee, “Modeling
Adversarial Intent for Interactive Simulation and Gaming: The Fused Intent
System,” Proceedings of the SPIE: Defense
& Security Symposium, Vol. 6965, Orlando,
FL, 2008.
·
Santos, Eugene,
Jr., Zhao, Qunhua, Pratto,
Felicia, Pearson, Adam R., McQueary, Bruce, Breeden,
Andy, and Krause, Lee, “Modeling Multiple Communities of Interest for
Interactive Simulation and Gaming: The Dynamic Adversarial Gaming Algorithm
Project,” Proceedings of the SPIE:
Defense & Security Symposium, Vol: 6564, Orlando, FL,
2007.
·
Santos, Eugene,
Jr. and Zhao, Qunhua, “Adversarial Models for
Opponent Intent Inferencing,” in Adversarial
Reasoning: Computational Approaches to Reading the Opponents Mind (Eds. A. Kott and W. McEneaney), pp 1-22, Chapman & Hall/CRC Computer and
Information Science Series, Chapman & Hall/CRC:Boca
Raton, 2006.
·
Lehman, Lynn A.,
Krause, Lee S., Gilmour, Duane A., Santos, Eugene, Jr., and Zhao, Qunhua “Intent Driven
Adversarial Modeling,” Proceedings
of the Tenth International Command
and Control Research and Technology Symposium: The Future of C2,
McLean, VA, 2005.
·
Santos, Eugene, Jr.
and Negri, Allesandro,
“Constructing Adversarial Models for Threat
Intent Prediction and Inferencing,” Proceedings
of the SPIE Defense &
Security Symposium, Vol. 5423,
77-88, Orlando, FL 2004.
·
McQueary, Bruce, Krause,
Lee, Santos, Eugene, Jr., Wang, Hua, and Zhao, Qunhua, “Analysis
and Visualization of Uncertainty in the Battlespace,”
Proceedings of the 16th IEEE International Conference on Tools with
Artificial Intelligence (ICTAI 2004),
782-784, Boca Raton, FL, 2004.
·
Revello, Timothy,
McCartney, Robert, and Santos, Eugene, Jr.,
“Multiple Strategy Generation for War
Gaming,” Proceedings of the SPIE:
Defense & Security Symposium, Vol. 5423, 232-243, Orlando, FL
2004.
·
Santos, Eugene, Jr.,
“A Cognitive Architecture for Adversary Intent Inferencing: Knowledge Structure and Computation,” Proceedings of the SPIE: 17th Annual International Symposium on
Aerospace/Defense Sensing and Controls: AeroSense 2003,
Vol. 5091, 182-193, Orlando,
FL, 2003.
·
Surman, Joshua, Hillman,
Robert, and Santos, Eugene, Jr., “Adversarial
Inferencing for Generating Dynamic
Adversary Behavior,” Proceedings of
the SPIE: 17th Annual International
Symposium on Aerospace/Defense Sensing and Controls: AeroSense 2003, Vol. 5091, 194-201, Orlando, FL,
2003.
·
Brown, Scott M.,
Santos, Eugene, Jr., and Bell, Benjamin, “Knowledge Acquisition for Adversary Course of Action Prediction Models,” Proceedings of the AAAI 2002 Fall Symposium on Intent Inference for Users, Teams,
and Adversaries, Boston, MA, 2002.
·
Bell, Benjamin,
Santos, Eugene, Jr., and Brown, Scott M., “Making Adversary Decision Modeling Tractable with Intent Inference and Information
Fusion,” Proceedings of the 11th Conference on Computer Generated Forces
and Behavioral Representation,
535-542, Orlando, FL, 2002.
User Modeling and Intent
·
Nguyen, Hien and
Santos, Eugene,
Jr., “An Evaluation of the Accuracy of Capturing User Intent for Information
Retrieval,” Proceedings of the 2007
International Conference on Artificial Intelligence (ICAI-07), 341-350, Las
Vegas, NV, 2007.
·
Nguyen, Hien and
Santos, Eugene, Jr., “Effects of Prior Knowledge
on the Effectiveness of a Hybrid User Model for Information Retrieval,” Proceedings of the SPIE: Defense &
Security Symposium, Vol: 6536, Orlando,
FL, 2007.
·
Nguyen, Hien, Santos, Eugene, Jr., Smith, Nathan, and Schuett, Aaron, “Hybrid User Model for Information
Retrieval,” Proceedings of the AAAI
Workshop on Modeling Others from Observations (MOO-06), 61-76, Boston,
MA, 2006.
·
Santos, Eugene,
Jr., Zhao, Qunhua, Nguyen, Hien, and Wang, Hua, “Impacts of User Modeling on Personalization of
Information Retrieval: An Evaluation with Human Intelligence Analysts,” in S. Weibelzahl, A. Paramythis, and J. Masthoff
(Eds.), Proceedings of the Fourth
Workshop on the Evaluation of
Adaptive Systems (held in
conjunction with the 10th International Conference on User Modeling (UM’05)), 27-36, Edinburgh, UK,
2005.
·
Nguyen, Hien,
Santos, Eugene, Jr., Zhao, Qunhua, and Wang, Hua, “Capturing User Intent for Information Retrieval,” Proceedings of the 48th Annual Meeting of the Human Factors
and Ergonomics Society (HFES 2004),
371-375, New Orleans, LA, 2004.
·
Nguyen, Hien, Santos, Eugene, Jr., Zhao, Qunhua,
and Lee, Chester, “Evaluation of Effects on
Retrieval Performance for an Adaptive User Model,” Adaptive Hypermedia 2004:
Workshop Proceedings - Part I,
193-202, Eindhoven, The Netherlands, 2004.
·
Santos, Eugene, Jr.,
Nguyen, Hien, Zhao, Qunhua, and Wang, Hua, “User Modelling for Intent Prediction in Information Analysis,” Proceedings of the 47th Annual Meeting for the Human Factors and Ergonomics Society
(HFES-03), 1034-1038, Denver, CO,
2003.
·
Santos, Eugene,
Jr., Nguyen, Hien, Zhao, Qunhua, and Pukinskis, Erik, “Empirical Evaluation of Adaptive User
Modeling in a Medical Information Retrieval Application,” Lecture Notes in Artificial Intelligence 2702: User
Modeling 2003 (Eds. P. Brusilovsky, A. Corbett, and F. de Rosis),
292-296, Springer, 2003.
·
Santos, Eugene, Jr., Nguyen, Hien, and Brown, Scott M., “Kavanah: An Active User
Interface Information Retrieval Application,” Proceedings of the 2nd Asia-Pacific Conference on Intelligent Agent Technology, 412-423, 2001.
·
Lee, Jung-Jin,
McCartney, Robert, and Santos, Eugene, Jr., “Learning and Predicting User Behavior for Particular Resource Use,” Proceedings of the 14th International FLAIRS Conference, 177-181, Orlando, FL, 2001.
·
Santos, Eugene and Brown, Scott M., “Interfacing the Human into
Intelligent Information Systems,” Proceedings of the SPIE 14th Annual: 14th Annual
International Symposium on
Aerospace/Defense Sensing and Controls: AeroSense
2000, Vol. 4055, 489-509, Orlando,
FL, 2000.
·
Brown, ScottM. and Santos, Eugene,
Jr., “Active User Interfaces for Building Decision-Theoretic Systems,” Proceedings of the 1st Asia-Pacific Conference on
Intelligent Agent Technology, 244-253, Hong Kong,
1999.
·
Santos, Eugene,
Jr., Brown, Scott M., Lejter, Moises,
Ngai, Grace, Banks, Sheila B., and Stytz, Martin R.,
“Dynamic User Model Construction with Bayesian Networks for Intelligent Information Queries,” Proceedings of the 12th International FLAIRS
Conference, 3-7, Orlando, FL, 1999.
·
Brown, Scott M.,
Santos, Eugene, Jr., and Banks, Sheila B., “Utility theory-based user models for intelligent interface agents,” Lecture Notes in Artificial Intelligence 1418: Advances in Artificial Intelligence – AI ’98, 378-392, Springer-Verlag,
1998.
·
Brown, Scott M.,
Santos, Eugene, Jr., Banks, Sheila B., and Oxley, Mark, “Using Explicit Requirements and Metrics for Interface Agent
User Model Correction,” Proceedings
of the Second International Conference on Autonomous Agents, 1-7, Minneapolis/ St. Paul, MN, 1998.
·
Brown, Scott M.,
Harrington, Robert A., Santos, Eugene, Jr., and Banks, Sheila B., “User Models, Intelligent Interface Agents and
Expert Systems,” Proceedings of
the Sixth International Conference on User
Modeling Workshop on Embedding User Models in Intelligent Applications, 12-16, Sardinia, Italy, 1997.
Deception Detection
·
Santos, Eugene,
Jr., Li, Deqing, and Yuan, Xiuqing,
“On Deception Detection in Multi-Agent Systems and Deception Intent,” Proceedings of the SPIE: Defense &
Security Symposium, Vol. 6965, Orlando,
FL, 2008.
·
Santos, Eugene, Jr.,
Zhao, Qunhua, Johnson, Gregory, Nguyen, Hien, and
Thompson, Paul, “A Cognitive Framework
For Information Gathering with Deception Detection For Intelligence Analysis,” Proceedings of the 2005 International Conference on
Intelligence Analysis, McClean, VA,
2005.
·
Thompson, Paul, Santos, Eugene, Jr., Zhao, Qunhua,
Johnson, Gregory, and Nguyen, Hien,
“Counter Denial and Deception and Utility-Theoretic Information Retrieval for
Intelligence Analysis,” Proceedings of the 2005 International Conference on
Intelligence Analysis, McClean, VA,
2005.
·
Santos, Eugene, Jr.
and Johnson, Gregory, “Toward Detecting Deception in Intelligent Systems,” Proceedings
of the SPIE: Defense & Security Symposium, Vol. 5423, 131-140,
Orlando, FL
2004.
·
Johnson, Gregory
and Santos,
Eugene, Jr., “Deception Detection in Information Systems I: Activation of Deception Detection Tactics,” Lecture Notes in Computer Science 3060: Advances in Artificial Intelligence – AI ’04 (Eds. A. Tawfik and S.
Goodwin), 339-354, Springer-Verlag, 2004.
Bayesian Knowledge-Bases and
Bayesian Networks
·
Santos,
Eugene, Jr. and Dinh, Hang T., “Automatic Knowledge
Validation for Bayesian Knowledge Bases,” Data
and Knowledge Engineering 64,
218-241, 2008.
·
Santos, Eugene,
Jr. and Dinh, Hang T., “Consistency of Test Cases in
Validation of Bayesian Knowledge Bases,”
Proceedings of the 16th IEEE
International Conference on
Tools with Artificial Intelligence (ICTAI 2004), 468-475, Boca Raton, FL, 2004.
·
Rosen, Tzachi, Shimony, Solomon Eyal, and Santos, Eugene, Jr., “Reasoning
with BKBs – Algorithms and Complexity,” Annals of Mathematics and Artificial Intelligence
40(3-4), 403-425, 2004.
·
Santos, Eugene, Jr., Santos, Eugene S., and Shimony, Solomon Eyal, “Implicitly
Preserving Semantics During Incremental
Knowledge Base Acquisition Under Uncertainty,” International Journal of Approximate Reasoning 33(1),
71-94, 2003.
·
Zhong, Xiaomin
and Santos,
Eugene, Jr., “Directing Genetic Algorithms for Probabilistic Reasoning Through Reinforcement Learning,” International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 8(2),
167-185, 2000.
·
Johnson, Gregory
and Santos, Eugene, Jr., “Generalizing Knowledge
Representation Rules for Uncertain
Knowledge,” Proceedings of the 13th
International FLAIRS Conference,
186-190, Orlando,
FL, 2000.
·
Santos, Eugene, Jr. and Young, Joel D., “Probabilistic
Temporal Networks: A unified framework
for reasoning with Time and Uncertainty,” International Journal of Approximate
Reasoning 20, 263-291, 1999.
·
Santos, Eugene, Jr.
and Santos,
Eugene S., “A Framework for Building Knowledge- Bases Under Uncertainty,” Journal
of Experimental and Theoretical Artificial Intelligence 11,
265-286, 1999.
·
Santos, Eugene, Jr., and Shimony,
Solomon Eyal, “Deterministic Approximation of Marginal Probabilities in Bayes
Nets,” IEEE Transactions on Systems,
Man, and Cybernetics Part A:
Systems and Humans 28(4), 377-393, 1998.
·
Santos, Eugene, Jr., “On Multiple Spline
Approximations for Bayesian Computations,” Annals of Mathematics and Artificial Intelligence 20(1-4),
267-300, 1997.
·
Santos, Eugene, Jr., Shimony,
Solomon Eyal, and Williams, Edward, “Hybrid
Algorithms for Approximate Belief
Updating in Bayes Nets,” International Journal of Approximate Reasoning 17(2-3),
191-216, 1997.
·
Shimony, Solomon Eyal and Santos, Eugene,
Jr., “Exploiting Case-Based Independence
for Approximating Marginal Probabilities,” International Journal of Approximate Reasoning 14(1), 25-54, 1996.
·
Santos, Eugene, Jr., “On Linear Potential Functions for
Approximating Bayesian Computations,” Journal of the ACM 43(3),
399-430, 1996.
·
Santos, Eugene,
Jr., “A Fast Hill-Climbing Approach Without An Energy Function for Probabilistic Reasoning,” Proceedings of the Fifth IEEE International
Conference on Tools in
Artificial Intelligence, 170-179,
Cambridge, MA, 1993.
·
Santos, Eugene, Jr.,
“On the Generation of Alternative Explanations with Implications for Belief Revision,” Proceedings of the Seventh Conference on Uncertainty
in Artificial Intelligence, 337-347, Los
Angeles, CA, 1991.
·
Santos, Eugene S.,
and Santos, Eugene, Jr., “Reasoning with
Uncertainty in a Knowledge-Based System,” Proceedings of the Seventeenth International Symposium on Multiple-Valued Logic, 75-81, Boston,
MA, 1987.
Knowledge Engineering and
Verification and Validation
·
Santos,
Eugene, Jr. and Dinh, Hang T., “Automatic Knowledge
Validation for Bayesian Knowledge Bases,” Data
and Knowledge Engineering 64,
218-241, 2008.
·
Santos, Eugene,
Jr. and Dinh, Hang T., “Consistency of Test Cases in
Validation of Bayesian Knowledge Bases,” Proceedings of the 16th IEEE International Conference on Tools
with Artificial Intelligence (ICTAI 2004), 468-475, Boca Raton, FL, 2004.
·
Santos, Eugene, Jr., Santos, Eugene S., and Shimony, Solomon Eyal,
“Implicitly Preserving Semantics During Incremental Knowledge Base Acquisition
Under Uncertainty,” International
Journal of Approximate Reasoning 33(1), 71-94, 2003.
·
Brown, Scott M.,
Santos, Eugene, Jr., and Bell, Benjamin, “Knowledge Acquisition for Adversary
Course of Action Prediction Models,” Proceedings
of the AAAI 2002 Fall Symposium on Intent Inference for Users, Teams,
and Adversaries, Boston, MA, 2002.
·
Santos, Eugene, Jr., “Verification and Validation of
Knowledge-Bases Under Uncertainty,”
Data and Knowledge Engineering 37, 307-329, 2001.
·
Santos, Eugene, Jr.,
Banks, Sheila B., Brown, Scott M., and Bawcom, David
J., “Identifying and Handling Structural Incompleteness for Validation of
Probabilistic Knowledge-Bases,” Proceedings of the 12th International FLAIRS
Conference, 506- 510, Orlando,
FL, 1999.
·
Banks, Sheila
B., Santos, Eugene, Jr., Dyson, Mark L., and
Kilpatrick, F. Alex, “Automated Knowledge Acquisition and Dynamic Curriculum
Synthesis for Intelligent Tutoring
Systems,” Proceedings of the 20th Interservice/Industry Training Systems and Education Conference (I/ITSEC’98), Orlando,
FL, 1998.
·
Brown, Scott M.,
Santos, Eugene, Jr., and Banks, Sheila B., “Supporting Incremental Knowledge Elicitation in Decision-Theoretic Systems,”
Proceedings of the AAAI Spring Symposium on Interactive and Mixed-Initiative
Decision-Theoretic Systems, 14-15, Palo Alto, CA, 1998.
·
Brown, Scott M.,
Harrington, Robert A., Santos, Eugene, Jr., and Banks, Sheila B., “User Models, Intelligent Interface Agents and
Expert Systems,” Proceedings of
the Sixth International Conference on User
Modeling Workshop on Embedding User Models in Intelligent Applications, 12-16, Sardinia, Italy, 1997.
High Performance, Intelligent
Information Retrieval and Document Processing
·
Santos, Eugene, Jr., Santos, Eunice E., Nguyen,
Hien, Pan, Long, Korah, John, and Xia, Huadong, “IFGM as a Real Time Information Retrieval Tool
for E-governance,” International Journal
of Electronic Government Research 4(1),
14-35, 2008.
·
Nguyen, Hien and
Santos, Eugene,
Jr., “An Evaluation of the Accuracy of Capturing User Intent for Information
Retrieval,” Proceedings of the 2007
International Conference on Artificial Intelligence (ICAI-07), 341-350, Las
Vegas, NV, 2007.
·
Santos, Eugene,
Jr., Santos,
Eunice E., Nguyen, Hien, Pan, Long, Korah, John,
Zhao, Qunhua, and Xia, Huadong,
“Applying I-FGM to Image Retrieval and an I-FGM System Performance Analyses,” Proceedings of the SPIE: Defense &
Security Symposium, Vol: 6560, Orlando, FL, 2007.
·
Nguyen, Hien and
Santos, Eugene, Jr., “Effects of Prior Knowledge
on the Effectiveness of a Hybrid User Model for Information Retrieval,” Proceedings of the SPIE: Defense &
Security Symposium, Vol: 6536, Orlando,
FL, 2007.
·
Zhao, Qunhua, Santos, Eugene, Jr., Nguyen, Hien, and Mohamed, Ahmed,
“What Makes a Good Summary?,” to appear in Descartes Conference on Mathematical
Models in Counterterrorism, Washington,
DC, Springer.
·
Santos, Eugene Jr.,
Santos, Eunice E., Nguyen, Hien, Pan, Long, Korah,
John, Zhao, Qunhua,
and Pittkin, Morgan, “Information retrieval in highly
dynamic search spaces,” Proceedings of the SPIE: Defense & Security
Symposium, Vol. 6229, 1-12, Orlando, FL, 2006.
·
Nguyen, Hien, Santos, Eugene, Jr., Smith, Nathan, and Schuett, Aaron, “Hybrid User Model for Information Retrieval,” Proceedings of the AAAI Workshop on Modeling Others from Observations (MOO-06), 61-76, Boston,
MA, 2006.
·
Zhao, Qunhua, Santos,
Eugene, Jr., Nguyen, Hien, and Mohamed, Ahmed, “What Is Needed for a Good Summary?? Two Different Types of
Document Sets Yet Seemingly Indistinguishable
to Human Users,” Proceedings of the
HICSS-39 Symposium on Skilled
Human-Intelligent Agent Performance: Measurement, Application, and Symbiosis, Kauai, HI, 2006.
·
Santos, Eugene,
Jr., Santos, Eunice E., Nguyen, Hien, Pan, Long, and Korah,
John, “Large-Scale Distributed Foraging, Gathering, and Matching for
Information Retrieval: Assisting the
Geo-Spatial Intelligence Analyst,” Proceedings
of the SPIE: Defense & Security
Symposium, Vol. 5803, 66-77,
Orlando, FL, 2005.
·
Santos, Eugene,
Jr., Zhao, Qunhua, Nguyen, Hien, and Wang, Hua, “A User Evaluation for User Modeling in an Information Retrieval Application,” in S. Weibelzahl, A. Paramythis, and J. Masthoff
(Eds.), Proceedings of the Fourth
Workshop on the Evaluation of
Adaptive Systems (held in
conjunction with the 10th International Conference on User Modeling (UM’05)), 27-36, Edinburgh, UK,
2005.
·
Santos, Eugene,
Jr., Santos, Eunice E., and Santos, Eugene S., “Distributed Real- Time Large-Scale Information Processing and
Analysis,” Proceedings of the SPIE: Defense & Security Symposium, Vol. 5421, 161-171, Orlando, FL, 2004.
·
Nguyen, Hien, Santos,
Eugene, Jr., Zhao, Qunhua, and Wang, Hua, “Capturing User Intent
for Information Retrieval,” Proceedings
of the 48th Annual Meeting of the Human Factors and Ergonomics Society (HFES 2004), 371-375, New Orleans, LA, 2004.
·
Nguyen, Hien, Santos, Eugene, Jr., Zhao, Qunhua,
and Lee, Chester, “Evaluation of Effects on Retrieval Performance for an Adaptive User
Model,” Adaptive Hypermedia
2004: Workshop Proceedings - Part I, 193-202, Eindhoven,
The Netherlands,
2004.
·
Santos, Eugene,
Jr., Mohamed, Ahmed A., and Zhao, Qunhua, “Automatic
Evaluation of Summaries Using Document
Graphs,” Proceedings of the 42nd
Annual Meeting of the Association
for Computational Linguistics (ACL 2004) Workshop on Text Summarization
Branches Out, 66-73, Barcelona, Spain, 2004.
·
Santos, Eugene, Jr.,
Nguyen, Hien, Zhao, Qunhua, and Wang, Hua, “User Modelling for Intent Prediction in Information Analysis,” Proceedings of the 47th Annual Meeting for the Human Factors and Ergonomics Society
(HFES-03), 1034-1038, Denver, CO,
2003.
·
Santos, Eugene,
Jr., Nguyen, Hien, Zhao, Qunhua, and Pukinskis, Erik, “Empirical Evaluation of Adaptive User Modeling in a Medical Information Retrieval
Application,” Lecture Notes in
Artificial Intelligence 2702: User Modeling 2003 (Eds. P. Brusilovsky, A. Corbett, and F. de Rosis), 292-296,
Springer, 2003.
·
Santos, Eugene, Jr., Nguyen, Hien, and Brown, Scott M., “Kavanah: An Active User
Interface Information Retrieval Application,” Proceedings of the 2nd Asia-Pacific Conference on Intelligent Agent Technology, 412-423, 2001.
·
Santos, Eugene and Brown, Scott M., “Interfacing the Human into
Intelligent Information Systems,” Proceedings of the SPIE 14th Annual: 14th Annual
International Symposium on
Aerospace/Defense Sensing and Controls: AeroSense
2000, Vol. 4055, 489-509, Orlando,
FL, 2000.
·
Santos, Eugene,
Jr., Brown, Scott M., Lejter, Moises,
Ngai, Grace, Banks, Sheila B., and Stytz, Martin R.,
“Dynamic User Model Construction with Bayesian Networks for Intelligent Information Queries,” Proceedings of the 12th International FLAIRS
Conference, 3-7, Orlando, FL, 1999.
Protein Folding and Computational
Biology (Complex Adaptive Systems)
·
Guo, Donghang, Singhal, Ankit, Santos, Eunice E., Santos, Eugene, Jr., and
Zhao, Qunhua “Identifying Key Components of Adaptivity Modeling for Complex Adaptive Systems
Simulation,” Proceedings of the IEEE
International Conference on System, Man, and Cybernetics, Montreal, Canada,
2007.
·
Santos, Eunice E. and
Santos, Eugene,
Jr., “Effective Computational Reuse for Energy Evaluations in Protein Folding,” International Journal of Artificial Intelligence Tools 15(5),
725-739, 2006.
·
Santos, Eunice
E., Guo, Donghang, Santos,
Eugene, Jr., Zhao, Qunhua, and Singha,
Ankit, “A Framework for Complex Adaptive Systems,” Proceedings of the 2006 International Conference on Parallel and Distributed Processing
Techniques and Applications
(PDPTA-06), Las Vegas, NV, 2006.
·
Santos, Eunice
E., Guo, Donghang, Santos,
Eugene, Jr., and Onesty, William, “A Multi-Agent System Environment for Modelling Cell and Tissue Biology,” Proceedings of the International Conference on Parallel and Distributed Processing
Techniques and Applications
(PDPTA 2004), 3-9, Las Vegas, NV,
2004.
·
Santos, Eugene,
Jr., Kim, Keum Joo, and
Santos, Eunice E., “Local Minima-Based Exploration
for Off-Lattice Protein Folding”, Computational
Systems Bioinformatics: CSB 2003, 615-616, Stanford, CA, 2003.
·
Santos, Eugene, Jr.,
Kim, Keum Joo, and Santos, Eunice E., “Effective Search of the Energy Landscape for Protein Folding,” Lecture Notes in Computer Science 2723: GECCO 2003, Genetic and Evolutionary Computation
Conference (Eds. E. Cantu- Paz et al.), 642-643, Springer, Chicago, IL,
2003.
·
Santos, Eunice E. and
Santos, Eugene,
Jr., “Effective and Efficient Caching in Genetic Algorithms,” International
Journal of Artificial Intelligence Tools 10(1-2), 273-301, 2001.
Multi-Agent Systems, Mission
Planning, and Logistics
·
Zhang, Feng, Santos,
Eugene, Jr., and Luh, Peter B., “A Performance Study
of Multi- Agent Scheduling and Coordination Framework for Maintenance
Networks,” IEEE Transactions on
Systems, Man, and Cybernetics: Part C
37(1), 52-65, 2007.
·
Santos, Eugene, Jr., DeLoach,
Scott, and Cox, Michael T., “Achieving Dynamic, Multi-Commander, Multi-Mission Planning and Execution,” Applied Intelligence
25(3), 333-354, 2006.
·
Zhang, Feng, Mawardi, Andryas, Santos, Eugene, Jr., Pitchumani,
Ranga, and Achenie, Luke,
“Examination of Load-Balancing Methods to Improve Efficiency of a Composite Materials
Manufacturing Process Simulation Under Uncertainty using Distributed
Computing,” Future Generation
Computer Systems 22(5), 571-587, 2006.
·
Santos, Eugene, Jr., Zhang, Feng,
and Luh, Peter B., “Intra-Organizational Logistics
Management through Multi-Agent Systems,” Electronic Commerce Research 3(3-4),
337-364, 2003.
·
Saba, G.
Mitchell and Santos, Eugene, Jr., “The
Multi-Agent Distributed Goal Satisfaction System,”
Proceedings of the International
ICSC Symposium on Multi-Agents and
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