Geoffrey J. Gordon

Machine Learning Department

Associate Research Professor

I'm interested in multi-agent planning, reinforcement learning, decision-theoretic planning, statistical models of difficult data (e.g. maps, video, text), computational learning theory, and game theory.

Carlos Guestrin

Computer Science Department

Assistant Professor

I am fundamentally interested in designing efficient algorithms that learn and adapt to changing environments, and that are both theoretically-founded and perform well in the real world. My main focus is on statistical machine learning and inference, and on applications in sensor networks and computer systems.

Byron Boots

Machine Learning Department

Advisor: Geoff Gordon

I am interested in machine learning and optimization applied to problems in computer vision and robotics.

Joseph Bradley

Machine Learning Department

Advisor: Carlos Guestrin

I am interested in structure learning for probabilistic graphical models and am currently working on learning query-specific models.

Anton Chechetka

Robotics Institute

Advisor: Carlos Guestrin

I am interested in principled ways to construct probabilistic models that accurately represent reality and at the same time are feasible for exact inference. More specifically, I am working on learning thin junction trees from data.

Stanislav Funiak

Robotics Institute

Advisor: Carlos Guestrin

I am interested in formalisms and algorithms for effectively addressing large-scale problems in Bayesian inference and machine learning. My research interests include graphical models, convex optimization, distributed algorithms, and their application to computer vision.

Joseph Gonzalez

Computer Science Department

Advisor: Carlos Guestrin

My research interests are in statistical machine learning, sensor networks, and designing algorithms that learn and adapt to changing environments.

Jonathan Huang

Robotics Institute

Advisor: Carlos Guestrin

I am interested in developing efficient algorithms for approximate probabilistic inference. Right now I work on fast approximate inference algorithms for probability distributions over permutations based on ideas from Fourier analysis and group representation theory.

Andreas Krause

Computer Science Department

Advisor: Carlos Guestrin

My research is in Active Sensing, using tools from decision theory, machine learning and sensor networks to reason about spatio-temporal phenomena. I work on efficient algorithms with theoretical guarantees, and apply them to problems such as traffic prediction, building automation, activity recognition and environmental monitoring.

Austin McDonald

Machine Learning Department

Advisor: Geoff Gordon

I'm interested in multiagent systems, with an emphasis on planning and learning under uncertainty in multiagent domains.

Alexandra Meliou

Computer Science Department

Advisor: Carlos Guestrin

My research interests are in the area of database systems and my advisor is Joe Hellerstein. I am also co-advised by professor Carlos Guestrin at CMU I am currently working on query optimization in sensor networks, and I am specifically interested in power-efficient routing.

Chris Murray

Computer Science Department

Advisor: Geoff Gordon

Currently I'm a 2nd year PhD student in Computer Science (Machine Learning Department) at Carnegie Mellon, being advised by Geoff Gordon.

Ram Ravichandran

Robotics Institute

Advisor: Norman Sadeh

I am a 3rd year PhD student. I am currently working on adaptive trading agents. I am generally interested in problems in game theory, multi-agent learning and control theory.

Sajid Siddiqi

Robotics Institute

Advisor: Geoff Gordon

I work on efficient models and algorithms for machine learning on temporal data, and on applying these methods to problems in activity monitoring, mobile robotics and other domains.

Dafna Shahaf

Computer Science Department

Advisors: Manuel Blum and Carlos Guestrin

Just started my PhD at CMU; I am particularly interested in the ways applied AI can benefit from theoretical CS.

Ajit Paul Singh

Machine Learning Department

Advisor: Geoff Gordon

I work on models for relational learning. Other areas of research include structure learning and inference in graphical models.

Felipe Trevizan

Machine Learning Department

Advisor: Carlos Guestrin and Seth Copen Goldstein

I am 1st year PhD student. Currently, I am working in ways to use a distributed computing architecture with local and non-local communication for machine learning.

Gaurav Veda

Computer Science Department

Advisor: Carlos Guestrin

I am interested in applying machine learning and optimization techniques to problems in large scale distributed systems such as fault diagnosis/prediction, system performance evaluation/improvement. I also work on planning under uncertainty (POMDPs).

Miro Dudík

Machine Learning Department

Postdoc

My main interests are in combining theoretical and applied aspects of machine learning and statistics. More specifically, I am interested in problems where the available data sets are small, but the dimension of the solution space is large. My previous work has focused on small sample density estimation with the main application in modeling species habitats. Currently, I am working on decision making under uncertainty in the context of multi-agent learning and planning.

Jan Calliess

Machine Learning Department

Advisor: Geoff Gordon

My research interests are currently focused on multi-agent planning, learning- and game theory. I am a visiting student from University of Karlsruhe (TH), Germany.

Kit Chen

Robotics Institute

Advisor: Carlos Guestrin

I work on creating probabilistic models that can be used to accurately estimate signal quality in wireless networks including building-wide and city-wide deployments of wireless access points.

Kevin J. Dickerson

Machine Learning Department

Research Programmer

I'm working with Geoff on some projects involving multi-agent planning, some game theory, scientific visualization, and so on.

Jeremy Maitin-Shepard

Computer Science Department

Working with Carlos Guestrin and Jonathan Huang

I am a undergraduate senior interested in approximate inference in principled probabilistic models for tracking and activity recognition.

Brendan McMahan

Google

Research

My primary interests are in Artificial Intelligence, particularly in planning and machine learning in the face of uncertainty and in adversarial environments.

Vipul Singhvi

Sapient Corporation

Consultant

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Maxim Likhachev

Robotics Institute

Postdoc

My general research interests lie in Artificial Intelligence and Robotics. More specifically, they currently cover planning in deterministic and probabilistic domains and machine learning. So far, my research has been mainly motivated by the problem of fast and intelligent decision making by autonomous robotic systems in real-world environments. I do get easily motivated, however, by other interesting problems in AI.

Joelle Pineau

McGill University

Computer Science Department

My research is motivated by the desire to build intelligent autonomous systems meant for human interaction. My objectives are two-fold. First, I aim to develop broadly applicable probabilistic representations and algorithms that can address the problem of planning and control under uncertainty. Second, I am committed to designing and implementing real-world intelligent systems that operate based on these techniques.

Matthew Rosencrantz

Google

Research

Since finishing up my work at CMU in Oct. 2004 I've been thoroughly enjoying my newfound free time on weekends learning rock climbing and Chinese.