Artificial Intelligence
Recent AI breakthroughs such as LLMs, diffusion models, deep neural networks, and others, rely on theory to understand model training and inference, algorithms that translate the theory to software, and novel computer architectures to design energy-efficient and high-performance computing platforms to execute the software. ECE’s unique systems-oriented viewpoint of AI, comprising theory, architecture, algorithms, and software, allows its faculty and students to engineer scalable AI systems by optimizing the trade-offs between accuracy, robustness, energy consumption, and security, that exist across the compute stack from systems to semiconductor devices, and in the process, dramatically transform fields such as audio/video processing, decision making in robotics and control, neuroscience, and bioinformatics. Our ECE curriculum trains the next generation of engineers to apply foundational principles across theory, algorithms, and systems, regardless of the current and future evolution of AI.
Topics
- AI Theory, Algorithms, Systems, Applications
- Computer Vision and Audio
- Robotics and Control
- Natural Language Processing (NLP) and Large Language Models (LLM)
- Security, Trust, Verification
- Neuroscience, Biology
- News Notes
- November 13, 2025
Neural Information Processing Systems
- News Notes
- October 25, 2025
- News Notes
- October 5, 2025
Courses Taught
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Mathematical Foundations
- ECE 313 Probability with Engineering Applications
- ECE 490 Introduction to Optimization
- ECE 513 Vector Space Signal Processing
- ECE 534 Random Processes
- ECE 543 Statistical Learning Theory
- ECE 561 Detection and Estimation Theory
- ECE 563 Information Theory
- ECE 566 Computational Inference
- ECE 586 SDEs in Opt, Control, & Learning
- ECE 598 Information Theory and Statistics
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NLP, LLM, and Graphs
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Machine Learning and Generative Models
- ECE 365 Data Science and Engineering
- ECE 448 Artificial Intelligence
- ECE 498 BH LLM Reasoning for Engineering
- ECE 544 NA Topics in Signal Processing
- ECE 586 RS MDPs, Reinforcement Learning
- ECE 586 MDPs, Reinforcement Learning
- ECE 586 Control and Machine Learning
- ECE 598 RCG Deep Generative Models
- ECE 598 ML and Formal Methods
- ECE 598 ZZ Diffusion Flow Matching Models
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Robotics, Autonomous Systems, and AI
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Computer Vision, Audio, and Multi-Modal AI
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AI Software and Hardware Systems
Faculty in AI
Assistant Professor
Areas:
- AI Theory
- Security, Trust, Verification
Topics:
- Privacy, Security, Learning Theory, Information Theory
Professor
Areas:
- Robotics, Control
- AI Applications
Topics:
- Parallel and distributed computing, Motion planning
Professor, Computer Science
Areas:
- AI Theory
- AI Applications
Topics:
- Artificial Intelligence Data and Information Systems
Associate Professor
Areas:
- AI Theory
Topics:
- Operator models for dynamical systems, Nonstationary RL, Adaptive Control, Learning in games.
Assistant Professor
Areas:
- Security, Trust, Verification
- AI Applications
Topics:
- Trustworthy AI
Professor, Computer Science
Areas:
- NLP, LLM
- AI Algorithms
Topics:
- Natural language processing, data mining, data management
Professor
Areas:
- AI Systems
- AI Applications
Topics:
- AI/HW co-search, co-design, and co-generation; LLM-Aided Design; AI accelerators and applications.
Professor
Areas:
- Vision, Audio
- AI Algorithms
Topics:
- Signal Processing, Data Science; Computational Imaging
Professor, Computer Science
Areas:
- Vision, Audio
- AI Applications
Topics:
- Artificial Intelligence Interactive Computing
Associate Professor
Areas:
- Robotics, Control
- Vision, Audio
Topics:
- Robot Learning, Whole-body control, Mobile Manipulation, Generalization in Robotics, Imitation Learning, Video understanding, 4D understanding, Generative Models, AI for Science
Professor
Areas:
- Vision, Audio
- NLP, LLM
Topics:
- Audio, Speech, and Language Processing
Associate Professor, Computer Science
Areas:
- Robotics, Control
- AI Applications
Topics:
- Robot motion planning and control, semiautonomous robots
Associate Professor, Computer Science
Areas:
- Vision, Audio
- AI Applications
Topics:
- Computer Vision, Object Recognition
Assistant Professor
Areas:
- NLP, LLM
- AI Applications
Topics:
- Engineering AGI, LLM agents for engineering design
Associate Professor
Areas:
- AI Systems
- AI Applications
Topics:
- AI Infrastructure, AI for Systems and Systems for AI, AI Hardware/Software Co-Design
Associate Professor, Computer Science
Areas:
- AI Algorithms
- AI Theory
Topics:
- Reinforcement Learning
Professor
Areas:
- AI Systems
- AI Applications
Topics:
- Systems, Hardware/Software Co-design, Domain-specific Accelerator and Chip Design
Professor, Computer Science
Areas:
- Vision, Audio
- AI Algorithms
Topics:
- Computer Vision
Associate Professor, Siebel School of Computing and Data Science
Areas:
- Security, Trust, Verification
- AI Algorithms
Topics:
- trustworthy machine learning
Professor
Areas:
- AI Applications
- Neuroscience, Biology
Topics:
- AI-powered imaging; foundation model for brain imaging; digital twins, undercertainty characterization
Professor
Areas:
- AI Algorithms
- AI Applications
Topics:
- Graph and hypergraph learning, AI unlearning, LLMs, applications of AI in computational biology
Professor
Areas:
- Robotics, Control
- Security, Trust, Verification
Topics:
- Autonomy, Visual control, Reinforcement Learning
Professor
Areas:
- AI Theory
- Robotics, Control
Topics:
- Dynamical systems; Deterministic and Stochastic Control; Diffusions in Optimization, Control, and Learning; Interaction between control, programming languages, and LLMs
Research Professor
Areas:
- AI Applications
- Vision, Audio
Topics:
- agricultural and biological systems
Professor
Areas:
- AI Algorithms
- Vision, Audio
Topics:
- Inverse problems, NeRFs, Diffusion, Flows, Blackbox optimization
Associate Professor
Areas:
- Vision, Audio
- AI Algorithms
Topics:
- Diffusion, Flows, LLM, 3D Understanding, Video Understanding
Professor
Areas:
- AI Systems
- AI Algorithms
Topics:
- Efficient and Robust AI Models, AI Accelerator, VLSI Architectures, Integrated Circuit Design
Assistant Professor
Areas:
- AI Theory
- AI Algorithms
Topics:
- High-dimensional statistics, Information Theory, Computational Biology
Teaching Assistant Professor
Areas:
- Vision, Audio
- AI Algorithms
Topics:
- Computer Vision, Signal Processing, Data Science
Professor
Areas:
- AI Theory
- AI Algorithms
Topics:
- Probability, Control Theory and Information Theory applied to RL, Diffusion models, LLMs and Networks
Teaching Assistant Professor
Areas:
- AI Algorithms
- AI Systems
Topics:
- Trustworthy AI, Causal Inference, Optimization, Social Networks, Recommender Systems, Management Science
Professor
Areas:
- AI Algorithms
- AI Theory
Topics:
- Statistical Inference, Robust Learning, Hallucination Detection, Reinforcement Learning in Nonstationary Environments
Professor
Areas:
- AI Applications
- Neuroscience, Biology
Topics:
- Natural intelligence, brain neural dynamics, dynamic pose sequencing
Assistant Professor, Computer Science, starting Fall 2023
Areas:
- Robotics, Control
- AI Algorithms
Topics:
- 3D computer vision and robotics
Teaching Assistant Professor
Areas:
- AI Algorithms
- Vision, Audio
Topics:
- Signal processing, audio denoising, Blackbox optimization
Assistant Professor, Computer Science starting Aug 2023
Areas:
- Robotics, Control
- AI Applications
Topics:
- Tactile sensing
Assistant Professor
Areas:
- Security, Trust, Verification
- NLP, LLM
Topics:
- AI safety, Formal methods for AI, Algorithms for frontier AI models (LLMs, VLMs, etc), Agentic AI
Assistant Professor (CS)
Areas:
- AI Applications
- AI Systems
Topics:
- Large-scale DL/AI applications
Assistant Professor
Areas:
- AI Theory
- AI Algorithms
Topics:
- Optimization theory, learning theory, large-scale algorithms, energy applications
Assistant Professor, Computer Science
Areas:
- AI Theory
- AI Algorithms
Topics:
- AI for Science: cosmology and geospatial science
Associate Professor
Areas:
- AI Algorithms
- AI Applications
Topics:
- Signal processing, data science, computational imaging