Data Science and Engineering

Data science and machine learning; signal and image processing; optimization theory; statistics and probability theory

CPU and GPU architecture; high-performance computing; machine learning accelerators; data centers; natural language processing.

Deep learning from non-speech audio; educational data mining from audio; large imbalanced datasets; machine learning in the musical domain

Artificial intelligence, including machine learning, data mining, and automated planning/control

Machine learning; data mining; unsupervised learning; ecosystem informatics; natural language processing

Topic modeling; large-scale structured matrix/tensor factorization algorithms; multivew analysis, canonical correlation analysis; hyperspectral imaging

Resilient & intelligent networked systems; network & wireless security; enabling network & communication technologies.

Motif finding; non-coding RNA structure and function analysis; apps of machine learning to computational biology; deep sequencing data analysis

Security, privacy, and machine learning, especially on building secure and reliable AI systems from a systems security perspective

Latent variable models, semi-parametric methods, network analysis, model evaluation strategies, with applications in ecology.

Computer vision; natural language processing; deep learning; machine learning.

Computer vision; deep learning; machine learning; segmentation-based object recognition and scene understanding; spatio-temporal video analysis.

Adaptation & learning; nonlinear signal processing; application of signal & information processing to neural engineering and biomedical applications, structural health monitoring, audio & communication systems.

Causal inference; graphical models; AI safety

Adaptive sensing/sampling; manifold learning; sparse representations for signal processing.

Machine learning; computational systems biology; bioinformatics; integrative computational methods to map gene regulatory networks

Automated planning, reinforcement learning, safe and reliable AI.

Reasoning and ML on raw data; reasoning and ML on structured data; scalable and robust ML; data systems; human-data interaction

Object recognition; region / shape matching; texture; video object segmentation; stochastic image grammars.

Machine learning; probabilistic graphical models; anomaly detection; human-in-the-loop learning; computational sustainability.

Machine learning; safe and robust AI systems; sensor networks; intelligent user interfaces

Artificial intelligence; machine learning; automated planning; natural language processing.