- Adjunct Professor, Electrical and Computer Engineering
- geoscientist and model-based engineering
- expertise in remote sensing (patents pending) using computer vision and machine learning
- solved the century-old problem of auroral discrimination based on physical driving mechanism via machine learning and computer vision techniques
- technology rights and geoscience outreach
- in the Mathematics Genealogy Project
- award-winning STEM educator
Grow your engineering endeavor
Dr. Hirsch uses comprehensive model-based engineering frameworks to turn an idea into a product. Broad engineering expertise combined with years of experience bring quick resolve to vexing system issues for geospace/geoscience research as well as corporate and government entities.
- comprehensive practical and theoretical design experience with RF systems from antenna to CPU and detailed propagation modeling
- remote sensing: radar & radio science–from microwatt to megawatt with EMC mitigation
- remote sensing: optical–terabytes/day reduced 1000x by machine learning/machine vision algorithms using edge computing
- model-based design reduces iterations and speeds path from concept -> bench prototype -> fielded system
- serves as outside expert for design review, expert witness or pre-money planning and prototyping (whether research grants or startups)
As a governmental example, we work with public safety and transportation entities on their wireless infrastructure, whether in modeling upgrades, solving coverage problems or helping write RFPs and reviewing responses. As an independent voice of experience, Michael helps police, fire, EMS, transit and other public agencies as they maintain and transition from legacy analog radio and data systems to broadband digital networks, including FirstNet. We work with agricultural operations from farmers to companies working with and for agricultural advancement as humankind struggles to feed more with less.
PhD in Electrical Engineering
advised by Joshua Semeter with the Boston University Center for Space Physics, where Michael developed novel ionospheric remote sensing system techniques via optical tomography, radar, and radio instruments. The kickoff to Michael’s doctoral research was an AFOSR-funded study on multiscale (temporal and spatial) features in the aurora. The lessons learned from this system built confidence in the field deployment of a two-camera auroral tomography system to the Poker Flat Research Range near Fairbanks, Alaska. The next generation three-station system with ancillary receivers is nearing deployment, built by the Boston University Science Instrumentation Facility team including Glenn Thayer and Heitor Mourato.
Master of Science in Electrical Engineering
from Boston University in the Space Physics: Remote Sensing & Instrumentation Track.
Bachelor of Science in Electrical Engineering (High Honors)
- developed harmonic radar and antennas half the size and 85% less cost v. US Patent # 7,145,453
- designed and demonstrated the first coffee-can radar for $35
- President of Eta Kappa Nu - Gamma Zeta
- Communications Chair of the Tau Beta Pi (Engineering Honors Society) MI Alpha chapter
- President of the MSU Amateur Radio Club
- Dean’s List with 3.95 final graduation GPA
- top 1% commendations from his research advisers