Elad Kivelevitch is a Ph.D.-trained aerospace engineer and developer based in Greater Boston who has spent the last decade bridging research, military, and industry work in unmanned systems, sensor fusion, and command-and-control. Since 2015 he has been developing sensor fusion and tracking tools at The MathWorks to accelerate autonomous system development, applying rigorous techniques from guidance, optimal control, and multi-agent systems. His doctoral work tackled a stochastic Multiple Traveling Salesmen Problem with market-based solutions, reflecting a strength in marrying optimization theory with practical autonomy challenges. Elad brings uncommon depth in both algorithm design and systems engineering, enabling end-to-end solutions from simulation and modeling to deployable tracking components.
This MATLAB and Simulink Challenge Project Hub contains a list of research and design project ideas. These projects will help you gain practical experience and insight into technology trends and industry directions.
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