Machine Learning Optimization and Signal Processing Laboratory


Welcome to MILOS Lab

The Machine Learning Optimization and Signal Processing (MILOS) Laboratory 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 team consists of Ph.D., M.S., and undergraduate researchers that are passionate to understand and improve the world. Our research is primarily externally supported by federal agencies and industry partners.

Our mission is: (1) to conduct fundamental research; (2) to deliver practical solutions to technological challenges that are relevant to today’s society and of interest to the nation; and (3) to foster high-quality and inclusive education and mentor the next generation of innovators and technology leaders.

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Current Research Topics

  • Compact/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 include (but are not limited to) wireless communications, remote sensing, computer vision.

Our Sponsors

We are grateful for the support that we have received from the following sponsors:

  • 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).