Areas of current interest include
  • Intelligent integration of information. Solutions for environments of multiple information sources; including virtual integration, resolution of semantic incompatibilities, resolution of data inconsistencies, automatic discovery of content, automatic database schema matching, and interpretation of sets of independent queries.
  • Decision-guidance query languages and algorithms. Design of high-level query languages to express learning, prediction and deterministic or stochastic decisions, and both off-line (preprocessing) and online (query-time) algorithms.
  • Virtual enterprises. Models for describing dynamic coalitions of business partners for the manufacturing of information products. Bilateral transactions and their cost.
  • Uncertainty and imprecision in information systems. The representation, manipulation, and retrieval of uncertain, imprecise, incomplete, or inconsistent information in databases, and the formulation and interpretation of vague or imprecise queries.
  • Quality, integrity and security of information. Models for maintaining the integrity of databases and for controlling their access. Measures for specifying the quality of information sources, and methods for inferring the quality of retrieved information.
  • Service-composition frameworks to unify simulation and optimization of supply chains. Extending programming environments to express a supply-chain like simulation. Algorithms for automatic generation of the corresponding optimization problems and finding their solutions.
  • Decision-guidance based recommendation systems for composite alternatives. Design of and algorithms for making recommendations to select a composite service (e.g., travel package or a computer system configuration).
  • Risk-assessment simulation-based query languages. Languages for describing a risk model as stochastic simulation, and provide additional meta data in order to assess risk with significantly better variance/computational budget trade-offs.