Machine Learning Optimization & Signal Processing Laboratory

ROCHESTER INSTITUTE OF TECHNOLOGY

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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 expertise is in theory and algorithms for machine learning, data analysis, and signal processing. Our best tools are applied mathematics, statistics, and programming. Our team consists of Ph.D., M.S., and undergraduate researchers. Our research is primarily externally supported by federal agencies and industry partners.

Our mission:

  • Conduct fundamental research.

  • 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.

Our Sponsors

We are very grateful to our sponsors for the generous support that makes our research goals possible:

  • National Science Foundation (NSF).

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

  • National Geo-Spatial Intelligence Agency (NGA).

  • L3Harris.

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


Research Areas

Our expertise is in theory and algorithms for machine learning, data analysis, and signal processing. Our best tools are applied mathematics, statistics, and programming. We really enjoy to mathematically formulate engineering problems and then develop intelligent and efficient algorithms for solving them.

Current research topics include:

  • Efficient deep neural networks.

  • Tensor methods and multimodal data.

  • Data quality enhancement for reliable machine learning.

  • Outlier-resistant and reliable data analysis.

  • Dynamic sensor-array processing.

Application areas of our algorithmic research include (but are not limited to):

  • Computer vision.

  • Remote sensing.

  • Wireless communications.

  • Biomedical signal processing.