Website: http://www.stat.cmu.edu/~genovese/Dr. Genovese's research focuses on high and infinite dimensional inference problems in the analysis of large or complex data sets. This includes function and manifold estimation, confidence set construction, and structured estimation. He works extensively on applications in neuroscience and cosmology.
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.
Website: http://www.stat.cmu.edu/~joel/Professor 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.
Project Leader - InformediaDr. 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.
Professor, Director CCBIDr. 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.
Website: http://www.stat.cmu.edu/~kadane/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.
Professor & Dean, Heinz CollegeDr. Krishnan's research interests are in large Scale Network Analysis, Social Media and Analytics, Optimization
Website: http://www.cs.cmu.edu/~jmankoff/Dr. Mankoff's research interests: Toolkits; Interaction Techniques; Ubiquitous Computing; Energy & Sustainability; Machine Learning, Assistive Technologies; Visualization; Peripheral Displays Main content
Professor & Dept. Head (Statistics)
Website: http://www.stat.cmu.edu/~mark/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.
Website: http://www.stat.cmu.edu/~cshalizi/Dr. Shalizi has research interests in Nonparametric model discovery of state-space/hidden Markov models and stochastic automata; dynamical-systems analysis of learning processes; applications of information theory, large deviations and ergodic theory in statistical inference; complex network models; heavy-tailed distributions.
Professor & Co-Director CNBCDr. 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.
Website: http://www.cs.cmu.edu/~dst/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.
Professor in Residence
ProfessorAlex 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.
Sr. Scientific Specialist
Website: http://staff.psc.edu/welling/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.