Mauricio Cespedes, Ph.D.

Mitigation of large-scale AI training power fluctuations (2022–2025) Identified early the impact of aggregated AI workload power transients on data-center scaling and led cross-functional R&D to develop coordinated power-smoothing solutions across software, silicon, and infrastructure. Delivered production-scale implementations that reduced fluctuations with minimal performance and cost impact, enabling scalable, utility-aligned deployments. Design and deployment of monitoring system based on phasor-monitoring units (2024) Architected and deployed real-time power monitoring systems using phasor-measurement technology with FPGA-based processing and synchronized telemetry. Built end-to-end analytics pipelines and dashboards to improve power-system visibility, stability, and energy efficiency. Power control firmware development in IT hardware and UPS systems (2023–2024) Developed and modified control firmware and power algorithms in IT hardware and UPS systems to meet stringent electrical specifications. Created advanced impedance measurement and modeling techniques, validated through hardware-in-the-loop simulations. System specification for end-to-end stability of data-center systems (2018–2022) Authored and drove adoption of system-level specifications to ensure impedance characterization and grid-scale stability across data-center infrastructure. Led cross-industry collaboration and built detailed circuit models with automated measurement and digital-twin validation workflows.

Leading data center systems standardization with IEEE and OCP.

Control system architecture for grid-connected devices (Office of the CTO, 2016-2017) Collaborated in development of embedded control algorithms in C (and FPGA) for grid-connected PV inverters, including phase-locked loops, current and voltage regulation, FFT-based diagnostics, lead-lag compensation, power-sharing, and maximum-power-point tracking to improve stability and efficiency in distributed-energy systems. Power system modeling for large scale PV deployments (2014-2015) Built digital twins and simulation frameworks for residential and commercial PV fleets to support grid-interconnection studies. Modeled inverter and system behavior in MATLAB and PSCAD per utility requirements, enabling scalability and compliance across deployment scenarios.

Power Quality, Power Electronics, Robotics, Multivariable Control, and Nonlinear Control.

Stability and Control of Wind Farms in Weak Grids (GE Global-Research Center – Ph.D., 2011-2014) Developed analytical impedance models and advanced control strategies for wind farms operating under weak-grid conditions. Collaborated with GE-GRC to validate models and improve dynamic stability of large renewable-energy systems. Power system modeling and control for more electric aircraft (Boeing – M.S., 2008-2010) Designed digital twins and component models for next-generation aircraft power systems to evaluate stability, harmonics, and power-quality performance under varying flight-operation scenarios.

Lecturer and Lab Specialist for courses on Linear Circuits, Electrical Machines, and Fundamentals of Electrical Engineering

Thesis: Impedance Modeling, Analysis, and Adaptation of Three-Phase Grid-Connected Voltage-Source Converters with PLL. Adviser: Dr. Jian Sun.

Thesis: Development of Simulation Models for More Electric Aircraft Power Systems. Adviser: Dr. Jian Sun.