Graduate Program in Applied Artificial Intelligence at Dietrich School
A multidisciplinary graduate program at the Dietrich School focused on Applied Artificial Intelligence (AI), offering an interdisciplinary research education primarily for PhD students. The program involves approximately 30 tenure-stream faculty members across various departments and emphasizes collaboration, excellence in AI expertise, and customized curricula. It also highlights international leadership in AI, with research areas such as outlier detection for patient safety, machine learning, and more. Currently, there are 21 graduate students with diverse backgrounds and involvement in research-oriented projects with various government agencies and research organizations.
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Presentation Transcript
A multidisciplinary graduate program in the Dietrich School dedicated to Applied Artificial Intelligence (AI) Program Goals Provide an outstanding interdisciplinary research education to graduate students (primarily PhD) Serve as the center of expertise in Artificial Intelligence within the University of Pittsburgh 2
Approximately 30 tenure-stream faculty, with primary appointments throughout Pitt Arts and Sciences Education Engineering Health & Rehabilitation Sciences Information Sciences Law Learning Research and Development Center Medicine Public Health High diversity for STEM (about 30% female) 3
ISP appointments are secondary in the Dietrich School, and enrich AI research and education across the University Voluntary faculty involvement Collaborative program governance, service, and advising Admission and training of Dietrich School graduate students Interdisciplinary, customized curricula 4
International Leadership in Applied AI International Leadership in Applied AI Outlier detection for patient safety Machine Learning & Decision Making Big data to knowledge via causal discovery Artificial Intelligence in Education Biomedical Informatics Teaching argumentation with AI and peer review ISP Opinion mining to discover points of view Social Computing Human Language Technologies Visualization of information dispersion in social media 5
21 Current Graduate Students (20 PhD, 1 MS) High diversity for STEM (43% female) Research Oriented (only fellowships and GSRs) Advanced Distributed Learning Lab (DOD) Advanced Research and Development Agency (ARDA) Air Force Office for Scientific Research (AFOSR) Army Research Office (ARO) Defense Advanced Research Projects Agency (DARPA) Department of Homeland Security (DHS) Institute for Defense Analysis (IDA) Institute for Education Sciences (IES) National Institutes of Health (NIH) National Science Foundation (NSF) Office of Naval Research (ONR) 6
Numerous best paper awards (spanning multiple research areas) Excellent alumni placement, e.g., Academic (US) International University, New York University, North Carolina State University, Queens College/City University of New York, University of Arkansas, University of New Mexico, University of Pittsburgh, University of Southern California Academic Columbia, University of Crete Government/Non Defense Analyses, NASA, National Library of Medicine Industrial Google, HRL Laboratories, Hulu, IBM, MDT Software, Pearson, SAS, Technicolor Research Center, Two Sigma Investments, Yahoo Academic (US): : Boston University, Carnegie Mellon University, Florida Academic (International) (International): : Al Akhawayn University, , University of British Government/Non- -Profit Profit: : Food and Drug Administration, Institute for Industrial: : Amazon, BBN Technologies, Boeing, Carnegie Learning, 7
Applied AI is at the vanguard of computing ISP is an interdisciplinary center for University collaboration in Applied AI Faculty and student excellence Cutting edge and impactful research Training of future leaders in research and education www.isp.pitt.edu 8
