Data Science
Assistant Professor, Educational Psychology
My research focuses on educational statistics (psychometrics), machine learning and AI in educational data, and visualization.
- Latent variable modeling for innovative item types
- Data mining
- Deep learning and large language models…
- Accepting new graduate research students
Assistant Professor, Electrical and Computer Engineering
My research interest spans domain-specific acceleration chip design, computer architecture, and agile design automation. Specifically, my recent research centers around enabling ubiquitous AI-powered intelligent functionalities, particularly highlighting a holistic solution from efficient architectures, to chips, and to integrated systems and advocating the design insight of marrying algorithm-hardware co-design techniques with application-level…
- Accepting new graduate research students
Associate Professor, Electrical and Computer Engineering
Customizable computing with software-defined hardware acceleration:
- Hardware/software codesign for machine learning: especially for accelerating early-day CNNs, sub-8-bit mixed-precision CNNs, vision transformers, stable diffusion, low-bit training, and SNNs
- Hardware/software codesign for big data…
- Accepting new graduate research students
Data Science Specialist
Professor, Department of Pharmaceutical Care & Health Systems
Affiliate Faculty, Institute for Health Informatics
Member of NLP/IE Group, Institute for Health Informatics
My research interests include evaluating and developing novel computational approaches to natural speech and language processing in the medical domain, including text of medical records and language produced by patients during cognitive testing. I study spontaneous speech and language characteristics indicative of effects of medications and neurodegenerative disorders on human cognition, and work on developing natural language processing and machine…
Associate Professor, Department of Computer Science & Engineering
Caiwen Ding's research interests include algorithm-system co-design of machine learning/artificial intelligence; privacy-preserving machine learning; machine learning for electronic design automation (EDA); and computer architecture.
Assistant Professor, School of Mathematics
- Mathematical foundations of machine learning and data sciences
- Applied probability and stochastic dynamics
- Applied analysis and PDEs
- Bayesian and computational statistics
- Inverse problems and uncertainty quantification
…
- Accepting new undergraduate research students
- Accepting new graduate research students
Associate Professor, School of Mathematics
- Mathematical foundations of machine learning and data sciences
- Applied probability and stochastic dynamics
- Applied analysis and PDEs
- Bayesian and computational statistics …
- Accepting new undergraduate research students
- Accepting new graduate research students