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Computer Science

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David Wettergreen

Research Professor

David Wettergreen is well known for deploying robots in locations that compel scientific investigation without human presence.

Human-Robot InteractionUnderwater RoboticsSpace Robots and SystemsRobotics for Scientific DiscoveryAI Reasoning for Robotics
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Dimitrios Skarlatos

Assistant Professor, Computer Science

Dimitrios Skarlatos is redesigning AI data center infrastructure to improve energy efficiency.

Data Center DesignAritficial IntelligenceSystemsSecurity and PrivacyComputer Architecture
Po-Shen Loh profile photo

Po-Shen Loh

Professor

Po-Shen Loh is a social entrepreneur, working across the spectrum of mathematics, education and health care.

CombinatoricsMathematicsMath EducationProbability Theory‎Computer Science
Sebastian Scherer profile photo

Sebastian Scherer

Associate Research Professor

Intelligent UAVsComputer VisionAI Reasoning for RoboticsMultisensor Data FusionAerial Robotics
Andreas Pfenning profile photo

Andreas Pfenning

Associate Professor, Ray and Stephanie Lane Computational Biology Department

Andreas Pfenning has published a number of high-impact papers on genomic tools to study sequence differences.

Computational BiologyNeural FunctionHuman BiologyGenomicsDisease Predisposition
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Emma Strubell

Assistant Professor, Language Technologies Institute

Emma Strubell's research focuses on efficient and equitable natural language processing (NLP).

Green AINatural Language Processing (NLP)Machine LearningArtificiial Intelligence
Aaditya Ramdas profile photo

Aaditya Ramdas

Assistant Professor

Aaditya Ramdas' research is aimed at solving basic problems in science and technology.

ElectionsGame-Theoretic StatisticsMachine LearningStatisticsData Science
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Alison Barth

Professor

Alison Barth's work focuses on understanding how experience transforms the properties of neurons to encode memory.

Research DesignNeural PlasticityBiophysicsNeuroscience
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Mario Bergés

Professor

Mario Bergés is interested in making our built environment more operationally efficient through the use of communication technologies.

Sensor NetworksSmart GridInfrastructure MonitoringBuilding Energy ManagementMachine Learning for Signal Processing
Ken Holstein profile photo

Ken Holstein

Assistant Professor

Ken Holstein's research focuses broadly on AI-augmented work and improving how we design and evaluate AI systems for real-world use.

ElectionsIntelligence AugmentationApplied Machine LearningArtificial IntelligenceHuman-Computer Interaction