- Ph.D., Electrical Engineering, Drexel University, 2022
- B.S., Electrical Engineering, Drexel University, 2014
- M.S., Electrical Engineering, Drexel University, 2014
- Google Data Analytics Professional Certificate
- IBM - Introduction to Data Science
- IBM Data Science Professional Certificate
- Science, Mathematics, and Research for Transformation Scholarship Recipient
- Institute of Electrical and Electronics Engineers (IEEE) – Senior Member
- IEEE Power and Energy Society – Senior Member
- IEEE Young Professionals - Senior Member
Dr. Cruz is an expert in electrical engineering with extensive experience in power and energy systems, data analytics, engineering management, and research and development. At Exponent, he utilizes his expertise to provide clients with a variety of technical services, including failure analysis, product development, technical litigation support, and technical forensics.
Dr. Cruz is fluent in model-based design and systems engineering, including developing models for addressing engineering integration considerations such as system architecture restrictions, performance requirements, steady-state/dynamic/transient stability, load and usage expectations, fault tolerance, and reliability/redundancy. He is experienced in a range of industry Unified Modeling Language (UML) and Systems Modeling Language (SysML) capable tools, including MATLAB, Simulink, and CAMEO MagicDraw.
Prior to joining Exponent, Dr.Cruz worked as a research and development engineer and project manager at the Naval Surface Warfare Center Philadelphia Division. He led the prototype development of robust and autonomous power and energy systems to service unmanned Navy assets. He additionally supported various research endeavors in advanced power system stability and control, modeling and simulation of novel shipboard power systems/components, and test and evaluation of Navy systems.
Dr.Cruz received his Ph.D in Electrical Engineering at Drexel University. His research focused on the increased integration of DC power systems into AC power grids due to installations of modern technologies (e.g. renewables, energy storage, etc.), and the impact into existing power system analysis and operation tools. Specifically, he identified the convergence shortcomings of state estimators which use iterative numerical solvers and sequential approaches when applied to AC/DC power systems and developed a new holomorphic embedded state estimator to overcome these issues.