Sarkis Martirosyan is a PhD candidate in Computational Optoacoustics based in Munich with a decade of experience applying signal processing and machine learning to biomedical imaging and wireless systems. His research blends spectral unmixing and optical inversion for photoacoustic imaging with practical autoencoder-based solutions developed during graduate research at Georgia Tech. Prior roles across Qualcomm, Leidos, and Lockheed Martin reflect hands-on firmware, RF echo cancellation, DoA estimation, and big-data network analytics experience that inform his experimental and computational approach. He holds MS and BS degrees in Electrical Engineering from Georgia Tech and brings a rare combination of academic depth and production-oriented systems engineering. Colleagues value his ability to translate advanced algorithms into testable pipelines and monitoring tools, a skill honed while automating stadium-scale WiFi experiments and building SDR-based cancellation systems. Outside core research, he favors cross-disciplinary problems where signal processing meets practical deployment constraints.
10 years of coding experience
3 years of employment as a software developer
Master of Science - MS, Electrical Engineering, Master of Science - MS, Electrical Engineering at Georgia Institute of Technology
Doctor of Philosophy - PhD, Computational Optoacoustics, Doctor of Philosophy - PhD, Computational Optoacoustics at Technical University of Munich
High School Diploma, High School Diploma at Thomas Jefferson High School for Science and Technology
Contributions:31 pushes, 1 branch in 2 years 5 months
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