Computing for Life Research Lab (COLIR) focuses on algorithms for processing data measured by sensors used in real-world situations, such as sensors deployed on satellites, airborne platforms, ships, buoys, small floats, underwater, and so on. Multiple spatially distributed sensors provide time-series data and COLIR students and researchers study algorithms to integrate and analyze these multi-dimensional, spatio-temporal signals.
Computing for Life is led by Dr. Paul Gader, Professor and former Chair of Computer and Information Science and Engineering and an affiliate Professor in Environmental Engineering Science at the University of Florida.
Researchers in COLIR seek to: (1) Deeply understand and improve existing AI algorithms and (2) Devise new AI algorithms. AI is interpreted in the sense of the early 21st century and includes:
- Machine Learning, including Maximum Likelihood and Bayesian methods,
- Deep Learning and Artificial Neural Networks (ANNs),
- Computational Intelligence,
- Multi-dimensional Image and Signal Processing, Analysis, and Interpretation,
- Language Processing.