Gary Holness

Associate Professor
Room: Mishoe Science Center
Office Phone: (302) 857-7932
Laboratory: Laboratory for Intelligent Perceptual Systems
Institution: University of Massachusetts Amherst
Location: Amherst, MA.
Degree: Ph.D. in Computer Science (2008)

My primary research interests span broadly across a number of areas including machine learning, robotics, distributed systems,
statistics, cyber-physical systems, and real-world machine learning applications with a focus on the following topics:

  • Ensemble methods: controlling error diversity and understanding ensemble dynamics
  • Sparse non-parametric density estimation in high dimensions: on-line methods, as well as lasso
  • Representation discovery: methods that learn features of the environment to best support learning
  • Interactive AI: methods that provide the user with extensive control over reasoning and learning processes
  • Autonomic Computing: methods that employ machine learning to endow complex distriuted systems with autonomy
  • Machine Perception: methods for long-term sparse representations for detection and reasoning over events in the environment, and
  • Cyber-Physical Systems: reactive environments that exploit crowd-sourcing to respond quickly to non-stationary world dynamics

My other interests include: pattern discovery in temporal data, environmental monitoring, and applications of machine learning to medicine.

Field(s) of Interest:

Machine Learning, Machine Perception, Robotics, Distributed Systems, Statistics