Biography

Sasha Petrenko is a research assistant professor in the Electrical and Computer Engineering (ECE) department of the Missouri University of Science and Technology (Missouri S&T). He holds a Ph.D. of Computer Engineering with a focus on lifelong machine learning and adaptive resonance theory (ART) algorithms.

He holds both an M.S and B.S in Aerospace Engineering, and he works in lifelong machine learning research and applications with the DARPA Lifelong Learning Machines (L2M) project, Teledyne Scientific, Honeywell’s Kansas City National Security Campus (KCNSC), ARL’s Night Vision and Electronic Sensors Directorate (NVESD), and ARL’s DEVCOM Data and Analysis Center (DAC).

His previous aerospace research was in the design of nanosatellite stereoscopic vision with Missouri S&T’s Nanosat research program, satellite algorithm design with Sandia National Labs, and in the study of optimal estimation algorithms for orbit determination and spacecraft navigation filters.

His current research specialties are in Adaptive Resonance Theory (ART) neural network algorithms, deep learning, clustering, cluster validity metrics, and multi-modal lifelong machine learning in computer vision applications.

Education

• 2024 – Ph.D. in Computer Engineering, Missouri University of Science and Technology
• 2019 – M.S. in Aerospace Engineering, Missouri University of Science and Technology
• 2016 – B.S. in Aerospace Engineering, Missouri University of Science and Technology