Research Areas
- Mobile Computing, Communication, Wireless Networks
- Image Processing
- Enterprise System,Software Engineering
Artificial Intelligence
Overview:
Our artificial intelligence research addresses the central challenges of machine cognition, both from a theoretical perspective and from an empirical, implementation-oriented perspective.
Topics:
- Automatic Programming
- Generic Programs, Partial Evaluation, Design Representation, Inference, Programming Interfaces.
- Automated Reasoning and Interactive Theorem Proving
- Simplification; Induction; Concept-formation; Lemma discovery; User interfaces; Hardware and software modeling and verification.
- Autonomous Agents
- Learning agents; Bidding agents; Robots; Game AI.
- Computer Vision
- Object and activity recognition; Content-based retrieval; Learning and vision; Robot vision; Biologically inspired vision.
- Data Mining
- Database search and mining; Large-scale data analysis; Social network analysis; Network estimation.
- Knowledge Representation and Reasoning
- Knowledge representation languages: Description logic, frames, graphical representations; Knowledge content areas: Temporal, Spatial, Causal knowledge; Ontology; Semantic matching; Constraint satisfaction; Expert systems; Semantic web; Cognitive modeling: memory models; Belief revision and truth maintenance.
- Learning Theory
- Computational and statistical analysis of learning algorithms; Online learning; Active learning; Probabilistic inference.
- Logic-based AI
- Commonsense knowledge; Reasoning about actions; Nonmonotonic reasoning; Answer set programming.
- Machine Learning
- Supervised learning; Reinforcement learning; Transfer learning; Active learning; Online learning; Statistical relational learning; Optimization; Graphical models; Nonparametric models; Probabilistic inference.
- Multiagent Systems
- Multiagent learning; Multirobot systems; Game theory.
- Natural Computation
- Neural networks; Evolutionary computation; Computational neuroscience; Cognitive science.
- Natual Language Processing
- Syntactic parsing; Semantic analysis; Information extraction; Machine translation; Machine reading; Connectionist models of lexical, sentence, and story processing.
- Robotics
- Robot learning; Developmental robotics; Multirobot systems; Multilegged walking; Embodied Cognition.
- AI Applications
- Autonomous driving; Robot soccer; Question answering; Math and Physics Problem Solving; Nonlinear control; Game playing; Fraud detection.
Bioinformatics and Computational Biology
Computer Architecture
Data Mining, Machine Learning, and Natural Computation
Formal Methods
Overview:
Our research involves the use of mathematics to assist with the specification, design, implementation, and verification of computing systems.
Topics:
- Declarative Programming:
- Declarative approaches to search. Nonmonotonic logic. Stable models. Semantics of answer set programming languages. Answer set solvers.
- Concurrency:
- Theory of concurrency and causality, Language for distributed and concurrent programming, Process algebra.
- Hardware and Software Verification:
- Microprocessor ISA specification. Microcode verification. Floating-point verification. Binary code analysis. Number theory and metamathematics.
- Model Checking:
- Property checking. Predicate abstraction. Automatic verification. Reachability. State-space exploration.
- Security:
- Model checking. Constraint solving. Computational soundness.
- Theorem Proving:
- Rewriting. Rule-driven simplification. Decision and semi-decision procedures. Heuristic proof techniques. Induction. Integrated proof techniques. Domain-specific proof techniques. Metafunctions. Search. Interactive guidance. Proof development environments.
