Michael is experienced with working with international teams of geoscientists as well as collaborations in the medical and transportation fields, on topic areas including embedded vision and radiolocation systems.

Michael’s geoscience research interests include studying microscale ionospheric turbulence using radio science, radar, and optical methods including:

Mike McLernon Mathworks hackathon at NEWSDR 2013, WPI Michael Hirsch describing Powerpoint slide on ISR experiment Michael Hirsch and geoscientists in poster hall at CEDAR 2015 Workshop.
Michael Hirsch, Ph.D. science endeavors

To this end, Michael applies big data processing techniques from the machine learning and machine vision world to large geoscience datasets from instruments Michael sometimes develops himself. Michael is also a patron of the geosciences.

Michael works as a trailblazer in the open-science / open-data movement, having founded the Zenodo Space Physics and Aeronomy section. Michael endeavors to set a new normal in refereed publication with open-source code and open-data available for download a prerequisite for manuscripts to enter the review process.

Machine Vision

Applications including challenging and novel remote sensing and medical imaging problems. Embedded/single board computers including

Remote Sensing and Wireless Networks

Software Engineering