Machine Learning Optimization & Signal Processing Laboratory


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Welcome to RIT MILOS LAB

The Machine Learning Optimization and Signal Processing Laboratory (MILOS LAB) was founded in 2015 by Professor Panos P. Markopoulos at the Rochester Institute of Technology. Our research is on theory and algorithms for machine learning, and signal processing and it is supported by multiple federal agencies and industry partners.

Our mission:

  • Conduct fundamental research in the areas of machine learning and signal processing.

  • Deliver practical solutions to technological challenges that are relevant to today’s society and of interest to the nation.

  • Provide high-quality and inclusive education and mentor the next generation of innovators and technology leaders.

Research Expertise

Our expertise is on theory and algorithms for machine learning and signal processing. Our research tools are applied mathematics and computing.

Current research topics include:

  • Efficient deep neural networks through low-rank factorization.

  • Tensor decomposition methods and high-order processing of multimodal data.

  • L1-norm formulations for corruption-resistant/reliable data analysis and machine learning.

  • Dynamic environments and incremental/continual machine learning.

Application areas include:

  • Computer vision.

  • Remote sensing.

  • Wireless communications.

  • Biomedical signal processing.

Our Sponsors

We are grateful to our sponsors:

  • National Science Foundation (NSF).

  • Air Force Research Lab (AFLR) and Air Force Office of Scientific Research (AFOSR).

  • National Geo-Spatial Intelligence Agency (NGA).

  • NYSTAR / UR CoE in Data Science.

  • L3Harris.

  • RIT Office of the Vice President for Research (OVPR) and RIT Kate Gleason College of Engineering (KGCOE).