University of Pittsburgh

Research

The Intelligent Systems Program emphasizes research in five distinct and innovative areas.  All five areas are led by highly regarded researchers with international reputations for excellence in their fields. 

Natural Language Processing (NLP) and Information Retrieval

Natural Language Processing (NLP) and Information Retrieval focuses on areas ranging from spoken dialogue systems and subjectivity and sentiment analysis to statistical multilingual processing and information retrieval. Learn More

Intelligent Tutoring Systems and Educational Technology

Intelligent Tutoring Systems and Educational Technology has created a number of well-known tutoring systems in several fields of science, and is exploring various areas of community-based systems such as digital libraries and adaptive Web systems. Learn More

Machine Learning and Decision Making

Machine Learning and Decision Making is developing new methods and tools for solving complex learning and decision-making problems under conditions of uncertainty. Examples of applications include disease-outbreak surveillance, treatment-error detection, high-throughput genomic and proteomic data analysis, monitoring and learning of traffic flows, diagnosis, and strategic financial planning within organizations. Learn More

Biomedical Informatics

Biomedical Informatics is applying natural language processing, Bayesian modeling, and machine-learning methods to health care tasks, including disease-outbreak detection and diagnosis, automated tutoring of medical trainees, and discovery of molecular-disease biomarkers. Learn More

Artificial Intelligence and Law

Artificial Intelligence and Law is modeling legal statutes, legal arguments, and legal decision-making to facilitate tasks such as legal information retrieval, argument support, and legal education.  Learn More

Current ISP Faculty Research

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