Artificial Intelligence
The study of systems that behave intelligently, artificial intelligence includes several key areas where our faculty are recognized leaders: computer vision, machine listening, natural language processing, machine learning and robotics.
Computer vision systems can understand images and video, for example, building extensive geometric and physical models of cities from video, or warning construction workers about nearby dangers. Natural language processing systems understand written and spoken language; possibilities include automatic translation of text from one language to another, or understanding text on Wikipedia to produce knowledge about the world. Machine listening systems understand audio signals, with applications like speech recognition, acoustic monitoring, or trascribing polyphonic music automatically. Crucial to modern artificial intelligence, machine learning methods exploit examples in order to adjust systems to work as effectively as possible. Robotics puts artificial intelligence into practice using machines that perceive and interact with the physical world.
Faculty & Affiliate Faculty
Robot Motion and Task Planning, Multi-Agent Systems, Crowd Simulation
Machine Learning Methods for Imaging Science, Image Reconstruction, Deep Learning for Inverse Problems
Motion Planning and Control
Machine Learning, AI Applications, Data Management Support for AI
Control, Autonomy and Decision Making, Vision and LIDAR Based Perception, GPS Denied Navigation
Signal Processing, Computational Imaging, Geometric Vision, Data Science
Autonomous Vehicles, Validating Autonomous Systems, Interactive Control Policies for Intelligent Systems in Multi-Agent Settings
Computational Linguistics, Programming Language Tools
Computer Vision, Object Recognition, Scene Understanding
Computational Linguistics
Computer Vision Analytics for Building and Construction Performance Monitoring
Computer Vision, Robotics, Machine Learning
Machine Learning, Natural Language-Based Text Analysis, Text Summarization
Statistical Speech Technology
Motion Planning, Optimal Control, Integrated Planning and Learning, Robot Systems
Natural Language Processing, Computational Linguistics
Computer Vision, Object Recognition, Spatial Understanding, Scene Interpretation
Computer Vision, Object Recognition, Spatial Understanding, Scene Interpretation
Reinforcement Learning, Machine Learning, Sample Complexity Analyses
HCI for ML, AI Explainability
Cyberinfrastructure for Machine Learning, Maching Learning Systems Research, Deep Learning Applications
Machine Learning, Neuroscience, Neuroimaging
Computer Vision, Scene Understanding, Visual Learning, Vision and Language
Adversarial Machine Learning, Robust Learning
Robotics, Motion Planning, and Virtual Reality
Cyberinfrastructure for Digital Preservation, Auto-Curation, and Managing Unstructured Digital Collections
Machine Learning and Optimization
Machine Learning, Computer Vision
Machine Learning for Audio, Speech and Music; Signal Processing; Source Separation; Sound Recognition and Classification
Deep Learning for Drug Discovery, Clinical Trial Optimization, Computational Phenotyping, Clinical Predictive Modeling, Mobile Health and Health Monitoring, Tensor Factorization, and Graph Mining
Machine Learning Theory
Explainable AI, Fairness in AI, Adversarial Maching Learning
Machine Learning in Computational Genomics
Adjunct Faculty
PhD Students Win Highly Competitive Fellowships from Industry
News | July 28, 2020