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Ameet Talwalkar

Ameet Talwalkar

Associate Professor, Machine LearningCarnegie Mellon University

Ameet Talwalkar's work is motivated by the goal of democratizing machine learning.

Machine LearningAlgorithmsComputational BiologyBioinformaticsData Mining
Christopher Kanan

Christopher Kanan

Associate Professor of Computer ScienceUniversity of Rochester

Christopher Kanan's research focuses on deep learning and Artificial Intelligence (AI)

AI and Machine LearningApplied Machine Learning (e.g. Medical Computer Vision)Language-guided Scene UnderstandingArtificial IntelligenceDeep Learning
Thomas Powers

Thomas Powers

Associate Professor, PhilosophyUniversity of Delaware

Prof. Powers specializes in ethics in information technology (including AI), ethics in science and engineering and research ethics.

Scientific EthicsBiomedical EthicsEnvironmental EthicsResearch EthicsComputer Ethics
Ken Holstein

Ken Holstein

Assistant ProfessorCarnegie Mellon University

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
James Hendler

James Hendler

Director, Future of Computing InstituteRensselaer Polytechnic Institute

Leading researcher in the Semantic Web and artificial intelligence

CybersecurityArtificial IntelligenceMachine LearningSemantic WebComputer Science
Pulkit Grover

Pulkit Grover

Associate ProfessorCarnegie Mellon University

Pulkit Grover is interested in interdisciplinary research directed towards developing a science of information for making computing systems.

Biomedical SystemsNeuroengineeringComputing SystemsNeuroscienceInformation Theory
David Bader

David Bader

Distinguished Professor, Data ScienceNew Jersey Institute of Technology

Interests lie at the intersection of data science & high-performance computing, with applications in cybersecurity

Artifical IntelligenceComputational GenomicsApplications in CybersecurityData ScienceHigh-Performance Computing
Meredith Carroll, Ph.D.

Meredith Carroll, Ph.D.

Professor | College of AeronauticsFlorida Tech

Dr. Carroll's research focuses on decision-making in complex systems, human-machine teaming, performance assessment and adaptive training.

Training Fidelity AnalysisAdaptive TrainingIndividual DifferencesUrban Air Mobility (UAM)Cybersecurity
Tom Mitchell

Tom Mitchell

Founders University ProfessorCarnegie Mellon University

Tom Mitchell is a longtime researcher in AI, including new systems that can improve healthcare, education, climate and more.

Machine LearningArtificial IntelligenceComputational Neuroscience
Vincent Conitzer

Vincent Conitzer

ProfessorCarnegie Mellon University

Vincent Conitzer is an expert in ethics and AI.

Ethics in AIMachine LearningArtificial IntelligenceComputer Science