Michael Naumann Email & Phone Number

Raleigh, North Carolina, United States

Build a proof of concept acquisition and streaming system for non-invasive neuroimaging, specifically targeting a Xilinx Kintex Ultrascale+ FPGA. Assess the viability and cost implications associated with delegating computational workloads to the FPGA and propose alternative system architectures and form factors for medical trials.• Design and port the configuration procedure for internal and external peripherals to FPGA using C, leveraging the Xilinx softcore MicroBlaze (SPI, JESD, Memory-Mapping)Implement JESD204B and synchronization across four lanes at 10 Gbps, thereby allowing successful acquisition from ADCs• Enhance XDMA PCIe driver functionality by developing RTL modules and implementing AXI crossbar mapping, expanding the capabilities of the software API• Integrate and validate HLS DSP modules using a fixed-point software parallel model• Develop a data-flow architecture for a segment of DSP operations managed on the host machine, establishing bandwidth specifications between architectural blocks• Evaluate DDR4 simulation read/write speeds by comparing random and sequential access patterns to assess the computational viability of the architecture

London, England, United Kingdom

Durham, North Carolina, United States

Designed the system architecture for advanced research on meta-surface RF antennas, and delivered the proposed system.• Formulated fundamental features of a system on FPGA, estimated resources and interface specifications, and curated evaluation boards and components for a 24 GHz RF system• Ported design to target architecture and evaluation board, successfully showcasing a functional FPGA-based system• Outlined recommendations for future project initiatives, including architectures for an improved system with a focus on reducing cost and complexity

Durham, North Carolina, United States

Teaching Assistant for various classes. ECE 250 Computer Architecture, ECE 459 Embedded Systems, ECE 559 Advanced Digital System Design. • Assisted student learning by developing lab learning assignments based on course concepts and fundamentals• Led discussion and recitation sections by presenting review and new material• Mentored students in various areas of electrical engineering, and exemplified their good coding practices

Durham, North Carolina, United States

Constructed an RTL-based FPGA testbed for real-time testing of deep brain stimulation (DBS) devices by porting a computational neurological model onto an Altera Cyclone IV platform. • Constructed an architectural blueprint for the time-step based computation of a non-linear differential model• Established VHDL-based architecture, incorporating exponential lookup tables, timer accumulators for activations, and various DSP techniques, employing effective methods of DSP resource sharing • Produced a closed-loop embedded controller for DBS in C with API, and applied it in research with the designated testbed• Collaborated with an external lab conducting DSB testing with mice, and commenced work alongside Medtronic for research involving their DBS controllers in human trials• Coauthored two papers chosen for presentation at the 2018 and 2020 International Conference on Cyber-Physical Systems (ICCPS) in Porto, Portugal and Sydney, Australia

Master Of Engineering, Electrical And Computer Engineering

Bachelor Of Science, Electrical And Computer Engineering, Certificate In Markets And Management Studies

Activities and Societies: Sigma Chi

High School

Activities and Societies: Robotics Team Lead, Math Honor Society, Science Honor Society, Spanish Honor Society, National Honor Society.