Professional Experience


Program Manager

2023-Present

Piasecki Aircraft Corporation

Did a bunch of really awesome things.

R&D Projects Manager

2022-2023

AgustaWestland Philadelphia Corporation

Did fewer awesome things.

Lead Research Engineer

2020-2022

Piasecki Aircraft Corporation

Did tons of awesome things.

Senior Software and Systems Engineer

2016-2020

Garmin International

Did a wild variety of awesome things.

Education


M.S., Mechanical Engineering, Specialty in Optimal Control

2016

University of North Carolina at Charlotte

B.S., Mechanical Engineering

2014

University of North Carolina at Charlotte

A.S., Associate Transfer

2010

Durham Technical Community College

Publications


System Identification and Stitched Modeling of the ADAPT Winged Compound Helicopter Scaled Demonstrator

2022

S. Nadell, T. Berger, C. DiMarco, M. Lopez

Frequency-domain system identification was performed for the ADAPTâ„¢ Winged Compound Helicopter Scaled Demonstrator, a 10% scale version of the Piasecki X-49A, at four flight conditions spanning its flight envelope.

Robust interpolation and iterative learning strategies for modulated tool path planning

2016

C. DiMarco

This thesis proposes a variant of PD-ILC called Disturbance & Performance-Weighted ILC (DPW-ILC) which weights the rel- evancy of prior control inputs and errors based on criteria of merit, and determines an appropriate control input for the current iteration. As one of the main criteria for DPW-ILC is the measure of the disturbance, it is robust to iteration-varying distur- bances.

Disturbance and Performance-Weighted Iterative Learning Control With Application to Modulated Tool Path-Based Manufacturing

2016

C. DiMarco, C. Vermillion, J. Ziegert

This paper presents a library-based variant of Iterative Learning Control (ILC) called Disturbance and Performance-Weighted ILC (DPW-ILC), which is designed to improve the accuracy of machine tool trajectories that are highly oscillatory in nature, as well as provide robustness to varying, but measurable disturbances.

Exponential and sigmoid-interpolated machining trajectories

2015

C. DiMarco, J. Ziegert, C. Vermillion

n this paper a new method called the sigmoidal interpolator is introduced that honors all physical constraints of a machining system while offering better tracking performance and lower accelerations than the linear interpolator, all while reducing the number of possible state transitions of the implemented software from approximately 17 to 4.

Technical Skills


Flight Controls

Program Management

C/C++

Python

Go

Bash

Docker

Kubernetes

Jenkins

Machine Learning

MATLAB/Simulink

Strategy

Innovation Process

EVMS

Proposals

Contracts

Awards & Honors


Outstanding Paper Award - NAMRC 43

2015

For 'Exponential and Sigmoid-Interpolated Machining Trajetctories'

Professional Memberships


Vertical Flight Society - Member