Florin Munteanu

Florin Munteanu

Signal And Image Processing Engineer @ Lawrence Livermore National Laboratory

About Florin Munteanu

Florin Munteanu is a Signal and Image Processing Engineer with expertise in designing denoising autoencoders and Bayesian hyperparameters evaluation. He has held positions at Veeco Instruments, Bruker Nano Surfaces, and currently works at Lawrence Livermore National Laboratory, focusing on advanced techniques for image processing and feature detection.

Work at Lawrence Livermore National Laboratory

Florin Munteanu has been employed at Lawrence Livermore National Laboratory since 2014, where he holds the position of Signal and Image Processing Engineer. His work focuses on developing empirical Bayes data fusion techniques, which are essential for simultaneous feature detection and correcting hardware calibration errors. Munteanu's expertise in signal and image processing plays a crucial role in advancing the laboratory's research initiatives.

Previous Experience at Veeco Instruments

Prior to his current role, Florin Munteanu worked at Veeco Instruments as a Staff Software Engineer from 2000 to 2003. During his three years in Plainview, New York, he contributed to software development projects that supported the company's technological advancements in instrumentation.

Experience at Bruker Nano Surfaces

Florin Munteanu served in multiple capacities at Bruker Nano Surfaces. He was a Senior Software Engineer from 2003 to 2007, followed by a role as Senior Computer Vision Scientist from 2007 to 2014. His work in Santa Barbara, California, involved the development of software solutions and algorithms, including matched filtering techniques for feature detection in noisy images.

Education and Expertise

Florin Munteanu earned his Doctorate in Philosophy from Northeastern University, where he studied Physics and Philosophy from 1995 to 2000. His academic background provides a strong foundation for his expertise in Bayesian hyperparameters evaluation, signal and image processing, and stochastic characterization and optimization of phase detection algorithms.

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