Alfred Blumstein

Alfred Blumstein

J. Erik Jonsson University Professor Emeritus, Urban Systems & Operations Research, Heinz College of Information Systems and Public Policy

Dr. Blumstein's research over the past twenty years has covered many aspects of criminal justice phenomena and policy, including crime measurement, criminal careers, sentencing, deterrence and incapacitation, prison populations, flow through the system, demographic trends, juvenile violence and drug-enforcement policy. He is also director of the National Consortium on Violence Research (NCOVR), a multi-university initiative funded by the National Science Foundation and headquartered at the Heinz School.

Hartmut Geyer

Hartmut Geyer

Associate Professor, Robotics Institute, School of Computer Science

Dr. Geyer's research focuses on the principles of legged dynamics and control, their relation to human neuromuscular control, and resulting applications in humanoid and rehabilitation robotics.

Joel Greenhouse

Joel Greenhouse

Professor, Statistics, Dietrich College of Humanities and Social Sciences

Dr. Greenhouse has had a long standing interest in the development and application of Bayesian methods for the design and analysis of studies in the biomedical and biobehavioral sciences, particularly clinical trials and meta-analysis. An area of continuing interest has been the use of robust Bayesian methods for sensitivity analysis.

Alex Hauptmann

Alex Hauptmann

Research Professor, Language Technologies Institute, School of Computer Science

Dr. Hauptmann has done research in speech recognition, speech synthesis, speech interfaces and natural language processing. Dr. Hauptmann's research interests are to utilize large corpora of found data, or other sources of knowledge that are already exist to improve speech and natural language processing by exploiting advantages across different modalities.

Brian Junker

Brian Junker

Professor, Statistics, Dietrich College of Humanities and Social Sciences

Dr. Junker's research has focused on latent variable models employed in the design and analysis of standardized tests, small-scale experiments in psychology and psychiatry, and large scale educational surveys such as the National Assessment of Educational Progress (NAEP). Recently he has been working on exploiting the structure of latent variable models in educational data mining applications, especially with respect to online computer based tutoring systems.

Marcel Just

Marcel Just

Director, Center for Cognitive Brain Imaging/ D O Hebb Professor, Psychology, Dietrich College of Humanities and Social Sciences

Dr. Just's research uses brain imaging (fMRI) to examine how a network of brain areas activates during the performance of language comprehension, spatial thinking and problem-solving tasks. The data consist of a time series of the activation levels of about 20,000 brain voxels, sampled once every second. I work at the Center for Cognitive Brain Imaging. I have a long-standing collaboration with Tom Mitchell which applies machine-learning (pattern-based-classification) approaches to brain activation data in various language-related types of thinking.

Jay Kadane

Jay Kadane

Leonard J. Savage Professor Emeritus, Statistics, Dietrich College of Humanities and Social Sciences

Dr. Kadane's research interests include both foundations of statistical inference and applications. His foundational work (joint with Mark Schervish and Teddy Seidenfeld) centers on understanding the consequences of extending the usual countably additive version of probability to allow merely finitely additive probabilities as well, and on finding an adequate theory of optimal group decision-making under uncertainty. His current applied work touches on law, medicine, internet security, marketing, physics and phylogenetics.

Ramayya Krishnan

Ramayya Krishnan

Professor & Dean, Engineering & Public Policy, Heinz College of Information Systems and Public Policy

Dr. Krishnan's research interests are in large Scale Network Analysis, Social Media and Analytics, Optimization.

Mark Schervish

Mark Schervish

Professor, Statistics, Dietrich College of Humanities and Social Sciences

Dr. Schervish has interests in Statistical theory, methodology, and application. Some of his interests include foundations of statistical reasoning, Bayesian nonparametrics, modeling contaminant concentrations in drinking water, and path planning for robots to search for landmines.

Michael Tarr

Michael Tarr

Professor & Department Head, Psychology, Dietrich College of Humanities and Social Sciences

Dr. Tarr's research interests include the neural representation of visual information in the human cortex and computationally-inspired models of visual object and face processing, representation, and recognition in biological systems. Much of this work relies on advancing the designs and analyses used in functional neuroimaging.

Dave Touretzky

Dave Touretzky

Research Professor, Computer Science & Center for the Neural Basis of Cognition, School of Computer Science

Dr. Touretzky studies the representation of space and direction in the rodent brain, by constructing computational models guided by behavioral and neurophysiological data. He also investigates cognitive models of animal learning and their implementation on mobile robots.

Isabella Verdinelli

Isabella Verdinelli

Professor in Residence, Statistics, Dietrich College of Humanities and Social Sciences

Dr. Verdinelli's research interests include Bayesian experimental design; Monte Carlo Marcov Chains simulations; hypothesis testing procedures with the Bayes factor; nonparametric inference, both Bayesian and frequentist; experimetal design for medical and engineering applications; multiple testing theory (FDR); clusters and filaments identification for complex data sets from random fields; manifolds theory and estimation; rate of convergence of manifold estimators; and identification of minimax rate of convergence.

Alex Waibel

Alex Waibel

Professor, Language Technologies Institute, School of Computer Science

Dr. Waibel is a Professor of Computer Science at Carnegie Mellon University, Pittsburgh and at the University of Karlsruhe (Germany). He directs the Interactive Systems Laboratories at both Universities with research emphasis in speech recognition, handwriting recognition, language processing, speech translation, machine learning and multimodal and multimedia interfaces.

Joel Welling

Joel Welling

Senior Scientific Specialist, Pittsburgh Supercomputing Center

Dr. Welling's research interests include parallel computing and large scale scientific computing, and in particular statistical analysis of large computational datasets. Much of his work in this area has dealt with functional brain imaging data and astrophysical simulations.