Related Faculty
	Dr. Callan studies problems at the intersection of information retrieval and machine learning, including federated/distributed search, adaptive information filtering, personalized and customized information access, and text mining. Jamie Callan         Howie Choset and his research group conduct research in motion planning and design of serpentine mechanisms, coverage path planning for de-mining and painting, mobile robot sensor based topological exploration of unknown spaces, distributed manipulation with macroscopic arrays, and education with robotics. Howie Choset           I want to improve the analysis of text and structured data. Visualization allows rapid overviews to be presented. Direct manipulation of these visualizations allows rapid feedback, making data exploration a highly interactive process. Mark Derthick       Dr. Erdmann is interested in Robotics and in Computational Molecular Biology, with shape sensing as a unifying theme. Dr. Erdmann's research draws on tools from geometry, mechanics, and stochastic processes. Michael Erdmann       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. Joel Greenhouse         Professor Harrison is interested in a variety of statistical problems in neuroscience. Currently, he is working on techniques for identifying and quantifying spatio-temporal dependencies in the firing patterns of multiple neurons. Other interests include information theory, computer vision and the vexing gap between biological and machine learning. Matthew Harrison       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. Alex Hauptmann       His 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). Brian Junker       My 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. Marcel Just       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. Joseph B. Kadane       Dr. Khosla's interests are in the area of Distributed Information Systems and Distributed Robotic Systems. His research on information systems is concerned with developing information systems that guarantee availability of information and security. Pradeep Khosla       Dr. Lee uses both statistical/machine learning techniques as well as physiological techniques to study neural processing in biological visual systems. Research topics include adaptive neural processing, neural representation of 3D scenes, information encoding and decoding in neurons, and hierarchical Bayesian inference in the cortex. Tai-Sing Lee       Dr. Lovett's research focuses on learning during problem solving, particularly how people generate new problem-solving strategies and how they learn to effectively choose among available problem-solving strategies. Besides testing theories of this learning process through computational modeling, her research involves devising instructional interventions that improve the quality of learning in the classroom. Marsha Lovett       Yuval Nardi graduated from the Hebrew University of Jerusalem in Statistics. His PhD had to do with Gaussian random fields, and maximal probabilities associated with it. Two of the main results are asymptotic expansions for such tail probabilities when the underlying field is either Gaussian or asymptotically Gaussian. Here at CMU, I'm involved with the Algebraic Statistic group, and, among other things, am interested in applying tools from algebraic geometry to confidentiality problems. He is also interested in applying Gaussian random fields theory to the area of AstroStatistics. Yuval Nardi       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 landmine's. Mark J. Schervish       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. Cosma Shalizi       Dr. Simmons' research focuses on the creation of mobile robot systems that are self-reliant enough for long-term, autonomous operation and that can readily adapt to new tasks and new environments. He is also interested in multi-agent coordination and human-robot social interaction. Reid Simmons       Professor Spirtes' primary interest is in discovering algorithms that can reliably infer causal relations from non-experimental data, and algorithms that reliably infer the effects of interventions upon causal systems that are only partially known or that contain unmeasured variables. Peter Spirtes       Dr. Sycara's research interests lie in the area of artificial intelligence, in particular Case based Reasoning and machine learning in agents and multiagent systems, including both machine agents and humans. Katia Sycara       Dr. Talukdar's research is in mechanisms by which large distributed sets of autonomous agents can learn to cooperate. His current work deals with context dependent network agents, that is, control agents that will be distributed over large networks, such as electric grids and traffic systems, and will learn, while they are on-the-job, how best to deal with their surroundings and cooperate with their neighbors. Sarosh Talukdar       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. David S. Touretzky       Professor Manuela Veloso works in the field of artificial intelligence and robotics. Her long-term research goal is the effective construction of teams of intelligent physical agents where cognition, perception, and action are integrated to address planning, execution, and learning tasks. Manuela Veloso           Dr. Vlachos' research interests include Bayesian Computation methods, clinical trial design as well as the use of multivariate statistical methods for the analysis of text. Pantelis Vlachos           Alex 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. Alex Waibel           Dr. Welling's research interests include parallel computing and large scale scientific computing, and in particular the visualization of the results of large computations. Much of his work in this area has dealt with astrophysical simulations. Joel Welling         Alfred Blumstein Greg Cooper James Garrett     Christopher Genovese John Lehoczky Kannan Srinivasan Michael Trick Isabella Verdinelli