Zach Rosenbaum brings extensive engineering capabilities with respect to spectrum sharing techniques and the design and implementation of systems to comply with regulatory requirements. He also has substantial experience with interference modeling, including the use of Monte Carlo simulations and software development for data mining, coordination, and interference resolution. Notably, Zach played a leading role in the deployment of new technologies and sharing between terrestrial and satellite systems, with a specific focus on coordinating between NGSO constellations.
"3D Classification of Through-the-Wall Radar Images Using Statistical Object Models," Dr. Bijan G. Mobasseri, Zachary Rosenbaum, IEEE Southwest Symposium on Image Analysis and Interpretation (SSIAI), Santa Fe, New Mexico, 2008
"Interpretation of Through-the-wall Radar Imagery by Probabilistic Volume Model Building," Zachary Rosenbaum, Dr. Bijan G. Mobasseri, SPIE Defense + Security Conference, Orlando, Florida, 2008
Prior Experience
In 2008, Zach started his career as a spectrum engineer at SES Americom (in Princeton), where he established foundations in frequency allocations and technical requirements for satellites operating at the geostationary orbit in planned and unplanned frequency bands. He was relocated to Den Haag in The Netherlands to globalize his perspective on international frequency allocations and policies in Europe, Africa, the Middle East and Asia. During this time, he gained experience in the ITU structures and working methods including the WRC.
After returning to the US, Zach joined EchoStar Satellites in the Advanced Programs and Spectrum Development team working on S-band and DTH technologies. He later joined O3b Networks in Washington DC where he led the team to maintain and develop spectrum assets and defend from 5G spectrum encroachment in core satellite bands. When SES fully acquired O3b, he was promoted to vice president of spectrum management and development for the Americas and NGSO at SES.
Zach’s research experience includes investigating radar images of urban environments for purposes of classification of objects through the wall. He conducted these experiments using real radar data conducted in MATLAB for the Villanova University, Center for Advanced Communications.
Zach is fluent in a broad range of software programs, such as Satsoft, Matlab, Visualyze, Python, ITU BR Software, and FCC databases and software.