Geoff Fortman

I am a research engineer with an M.S. in Electrical and Computer Engineering from the University of Michigan, specializing in Signal/Image Processing and Machine Learning (ML), with a background in applied math. I am pursuing opportunities to integrate technical knowledge with my communication and leadership capabilities, which I developed as the captain of a D1 hockey team and as a graduate student instructor. My project experience includes theory/applied ML, computer vision, quantum optics and more.

Education

M.S. in Electrical and Computer Engineering (ECE)

Focus Area: Signal and Image Processing and Machine Learning (SIPML)

PhD Research

Theory of ML/Nonlinear Optimization
Quantum Optics

[My Research Blog] - coming soon

B.A. in Mathematics

Father Francis O'Malley Memorial Award for highest cumulative average at Canisius
Tidd Award recipient for distinction in mathematics at Canisius

Work Experience

Research Engineer

Contributed to several major research projects, including the following:

Built Computer Vision/Image Processing algorithms to aid in autonomous UAV flight
Improved SAR target reconstruction using ML/Optimization/Inverse Problem techniques
Utilized Deep Learning to produce synthetic image datasets using GANs developed in Pytorch/TensorFlow
Developed a novel Hyperdimensional Computing algorithm for application in Hyperspectral Image classification

Graduate Student Instructor

Ran discussion sessions, lab sections, office hours, and more

EECS 203: Discrete Math
EECS 21: Intro to Signals and Systems

Hockey Career

Division 1 NCAA

Two-year Team Captain (2015-17) [Buffalo News article]
Three time Canisius Hockey Community Outreach Award Recipient ('15, '16, '17)
Hockey Humanitarian Award Nominee and Unsung Hero Award Finalist ('17) (national awards)