V.S. Subrahmanian is a professor in the Department of Computer Science.
He is the director of the Center for Digital International Government (CDIG) and co-director of the Laboratory for Computational Cultural Dynamics (LCCD). From 2004 to 2010, he served as the director of UMIACS.
Subrahmanian's research is at the intersection of databases, artificial intelligence, and optimization methods with applications to tracking, monitoring and forecasting behaviors of terrorist groups, socio-cultural groups, global health care, and other areas relevant to most human beings.
His work in artificial intelligence spans rule-based expert systems and logic programs, nonmonotonic reasoning, probabilistic reasoning, temporal reasoning, hybrid reasoning, and software agents. Subrahmanian's database work focuses on heterogeneous database integration and interoperability, logic databases, probabilistic databases, and multimedia databases.
In the last few years, he has been studying how to reason about massive collections of multilingual document collections and mine them for sentiment/opinion information, as well as how to mine ontologies directly from text. Subrahmanian has been applying his work to the study of foreign cultures and terrorist groups with the intention of automatically extracting data about a group’s organization and activities, and mining this information in order to build stochastic behavioral models of the group which, in turn, can be used to come up with forecasts of future behavior of the group. His group has built several scalable systems for these and other purposes, which have been applied extensively in government and industrial applications.
Subrahmanian received the National Science Foundation (NSF) National Young Investigator Award in 1993 and the Distinguished Young Scientist Award from the Maryland Science Center/Maryland Academy of Science in 1997.
He received his doctorate from Syracuse University in 1989.
2011. SYSTEM AND METHOD FOR DATA MANAGEMENT IN LARGE DATA NETWORKS. WO/2011/032077(WO/2011/032077)
2011. Annotated probabilistic temporal logic. ACM Trans. Comput. Logic. 12(2):14:1–14:44-14:1–14:44.
2011. Abduction in Annotated Probabilistic Temporal Logic. Technical Communications of the 27th International Conference on Logic Programming (ICLP'11). 11:240-250.
2010. A graph-theoretic approach to protect static and moving targets from adversaries. Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: volume 1 - Volume 1. :299-306.
2010. COSI: Cloud Oriented Subgraph Identification in Massive Social Networks. Advances in Social Networks Analysis and Mining (ASONAM), 2010 International Conference on. :248-255.
2010. Annotated RDF. ACM Trans. Comput. Logic. 11(2):10:1–10:41-10:1–10:41.
2010. PADS: A Probabilistic Activity Detection Framework for Video Data. Pattern Analysis and Machine Intelligence, IEEE Transactions on. 32(12):2246-2261.
2010. Efficient Policy-Based Inconsistency Management in Relational Knowledge Bases. Scalable Uncertainty Management: 4th International Conference. 6379:264-264.
2009. Aggregate Query Answering under Uncertain Schema Mappings. Data Engineering, 2009. ICDE '09. IEEE 25th International Conference on. :940-951.
2009. Method and system for optimal data diagnosis. 10/774,516(7474987)
2009. SPOT Databases: Efficient Consistency Checking and Optimistic Selection in Probabilistic Spatial Databases. Knowledge and Data Engineering, IEEE Transactions on. 21(1):92-107.
2009. Mining Online Opinions. Computer. 42(7):88-90.
2009. CAPE: Automatically Predicting Changes in Group Behavior. Mathematical Methods in Counterterrorism. :253-269.
2008. Machine Recognition of Human Activities: A Survey. Circuits and Systems for Video Technology, IEEE Transactions on. 18(11):1473-1488.
2008. A Constrained Probabilistic Petri Net Framework for Human Activity Detection in Video. Multimedia, IEEE Transactions on. 10(6):982-996.
2008. Computational Vision Approaches for Event Modeling. Understanding Events. 1(9):473-522.
2008. AVA: Adjective-Verb-Adverb Combinations for Sentiment Analysis. Intelligent Systems, IEEE. 23(4):43-50.
2008. CONVEX: Similarity-Based Algorithms for Forecasting Group Behavior. Intelligent Systems, IEEE. 23(4):51-57.
2008. The SOMA Terror Organization Portal (STOP): social network and analytic tools for the real-time analysis of terror groups. Social Computing, Behavioral Modeling, and Prediction. :9-18.
2008. Scaling RDF with Time. Proceedings of the 17th international conference on World Wide Web. :605-614.
2008. An AGM-based belief revision mechanism for probabilistic spatio-temporal logics. Proceedings of the 23rd national conference on Artificial intelligence. :511-516.
2008. Computational cultural dynamics. IEEE intelligent systems. 23(4):51-57.
2008. The soma terror organization portal (stop): Social network and analytic tools for the real-time analysis of terror groups. First Intl. Workshop on Social Computing, Behavioral Modeling and Prediction.
2008. Inconsistency management policies. Proc. 2008 Intl. Conference on Knowledge Representation and Reasoning (KR 2008).
2008. Stochastic opponent modeling agents: A case study with Hamas. Proceedings of ICCCD.
2007. MAGIC: A Multi-Activity Graph Index for Activity Detection. Information Reuse and Integration, 2007. IRI 2007. IEEE International Conference on. :267-272.
2007. GRIN: A graph based RDF index. Proceedings of the National Conference on Artificial Intelligence. 22:1465-1465.
2007. Cultural modeling in real time. Science. 317(5844):1509-1509.
2007. Uncertainty in logic programming: Some recollections. Association for Logic Programming Newsletter. 20(2)
2007. A general framework for reasoning about inconsistency. Proceedings of the International Joint Conference on Artificial Intelligence. :599-604.
2007. Probabilistic interval XML. ACM Transactions on Computational Logic (TOCL). 8(4)
2007. Soma models of the behaviors of stakeholders in the afghan drug economy: A preliminary report. Proc. 2007 Intl. Conf. on Computational Cultural Dynamics. :78-86.
2007. CONVEX: Context vectors as a paradigm for learning group behaviors based on similarity. IEEE Intelligent Systems. 23(4):51-57.
2007. Probabilistic go theories.
2007. Story creation from heterogeneous data sources. Multimedia Tools and Applications. 33(3):351-377.
2007. Sentiment analysis: Adjectives and adverbs are better than adjectives alone. Proceedings of the International Conference on Weblogs and Social Media (ICWSM).
2007. CARA: A Cultural-Reasoning Architecture. IEEE Intelligent Systems. 22(2):12-16.
2007. T-rex: A domain-independent system for automated cultural information extraction. Proceedings of the First International Conference on Computational Cultural Dynamics (ICCCD 2007).
2007. Detecting stochastically scheduled activities in video. International Joint Conference on Artificial Intelligence. :1802-1807.
2006. The priority curve algorithm for video summarization. Information Systems. 31(7):679-695.
2006. Annotated rdf. The Semantic Web: Research and Applications. 4011:487-501.
2006. A stochastic language for modelling opponent agents. Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems. :244-246.
2006. Overconfidence or paranoia? search in imperfect-information games PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE. 21:1045-1045.
2006. Opinion Analysis in Document Databases. Proc. AAAI Spring Symposium on Computational Approaches to Analyzing Weblogs, Stanford, CA.
2005. Approximation results for probabilistic survivability. Multi-Agent Security and Survivability, 2005 IEEE 2nd Symposium on. :1-10.
2005. RDF aggregate queries and views. Data Engineering, 2005. ICDE 2005. Proceedings. 21st International Conference on. :717-728.
2005. Aggregate operators in probabilistic databases. J. ACM. 52(1):54-101.
2005. A graph theoretical foundation for integrating RDF ontologies. PROCEEDINGS OF THE NATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE. 20:1442-1442.
2005. Game-tree search with combinatorially large belief states. 19:254-254.
2005. Optimal status sets of heterogeneous agent programs. Proceedings of the fourth international joint conference on Autonomous agents and multiagent systems. :709-715.
2005. The CPR model for summarizing video. Multimedia Tools and Applications. 26(2):153-173.
2005. Going far, logically. 19:615-615.
2005. A motion closed world asumption. 19:621-621.
2004. A logic of motion. :85-94.
2004. Optimal models of disjunctive logic programs: semantics, complexity, and computation. Knowledge and Data Engineering, IEEE Transactions on. 16(4):487-503.
2004. MASS: Multiagent Security and Survivability. Monitoring, Security and Rescue Techniques in Multiagent Systems. :112-112.
2004. TOSS: an extension of TAX with ontologies and similarity queries. Proceedings of the 2004 ACM SIGMOD international conference on Management of data. :719-730.
2004. The priority curve algorithm for video summarization. Proceedings of the 2nd ACM international workshop on Multimedia databases. :28-35.
2004. An algebra for powerpoint sources. Multimedia Tools and Applications. 24(3):273-301.
2004. Maintaining RDF views.
2004. Oasys: An opinion analysis system. AAAI Spring symposium on Computational Approaches to Analyzing Weblogs.
2004. Implementing stable semantics by linear programming. Logic Programming and Non-Monotonic Reasoning, Proceedings of the Second International Workshop. 7:23-42.
2004. Utilizing volatile external information during planning. Proceedings of the European Conference on Artificial Intelligence (ECAI). :647-651.
2004. Improving performance of heterogeneous agents. Annals of Mathematics and Artificial Intelligence. 41(2):339-395.
2003. Temporal probabilistic object bases. Knowledge and Data Engineering, IEEE Transactions on. 15(4):921-939.