Senior Engineer
CurrentI am part of a team responsible for last mile EV charging management products.
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@amazon.com
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4 phones found area 803 and 925
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David Coats is listed as EV Charging Technology and Infrastructure at Amazon Last Mile at Amazon, a with 500669 employees, based in Bellevue, Washington, United States. AeroLeads shows a work email signal at amazon.com, phone signal with area code 803, 925, and a matched LinkedIn profile for David Coats.
David Coats previously worked as Senior Engineer at Amazon and Principal Scientist at Abb. David Coats holds Doctor Of Philosophy - Phd, Electrical Engineering from University Of South Carolina.
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I am a self-motivated electrical engineer and researcher with wide experience from embedded, cybersecure systems within e-mobility to distribution automation and control sub-areas. Past research areas include asset and device monitoring, communications and industrial/standardized protocols, power electronics, hardware-in-the-loop simulation with EV chargers, and local or distributed control within energy systems. With a strong background in fast-paced research and development, I am ready to face challenging problems and find interesting solutions.
Listed skills include Matlab, Electrical Engineering, Research, Power Electronics, and 11 others.
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Bellevue, Washington, United States
I am part of a team responsible for last mile EV charging management products.
Raleigh, North Carolina, United States
Project leader for US government funded project in e-Mobility focused on EV charging site control and smart charging management.
Raleigh-Durham, North Carolina Area
Researcher and project leader in distribution automation, distributed monitoring/control, and e-mobility topics.
Raleigh-Durham, North Carolina Area
Advanced research and development focused on sensor and embedded system integration with new and emerging power products.
Columbia, South Carolina Area
Research assistant with projects including 1) Development and Refinement of Enhanced Condition Indicators for Aviation Safety as well as 2) Cable Diagnostics and Prognostics through use of Joint Time-Frequency Domain Reflectometry (JTFDR). Future projects will include the Implementation of CBM in Wind Turbine Generators as well as application of Cable Diagnostics and Prognostics to super conducting cable.
Columbia, South Carolina Area
This teaching assistant position is for a senior level design course. Students design and implement an engineering project with projects in a broad range of Electrical Engineering and related topics from communications and audio engineering to control and robotics. This position included both one-on-one training with individual students in the laboratory and instruction of class lectures on general principles of research and product development, project management, power electronics concepts, and control systems.
Columbia, South Carolina Area
Working as an undergraduate research assistant, I developed a Condition-Based Maintenance algorithm that analyzed vibration signatures in hanger bearings of AH-64 platform helicopters and summarized transient variations in frequency due to shifts in drivetrain rotational and gearbox mesh frequencies. This metric helped categorized failures in terms of unbalance and misalignment. I also helped design a control system, using LabVIEW, for the hydraulic platform of a rotating tail rotor swashplate test stand used to simulate cyclic loading in the AH-64 rotor. I had experience publishing papers and attending technical conferences, culminating applying for and receiving the NSF Graduate Research Fellowship.
Seodaemun-Gu, Seoul, Korea
As visiting scholar, my primary responsibilities were setting up a test facility for cable diagnostics and prognostics and training of new student researchers at Yonsei University in principles of reflectometry cable health assessment, time-frequency analysis, and MATLAB testbed environments. I gave invited presentations for the university and continued work on my PhD dissertation on comprehensive joint time-frequency analysis toward condition based maintenance (CBM) regimes for electrical and mechanical components.
Columbia, South Carolina Area
I read confidential medical files and redacted out sensitive information leading to the identification of patients of the state of South Carolina. These files were then copied and sent to law firms, institutions, or private citizens filing a Freedom of Information request.
Mastered the Romanian language to assist in English instruction, disaster relief, youth outreach, and religious service. Developed excellent interpersonal, presentation, communication, and leadership skills.
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Activities and Societies: IEEE Student Member and Reviewer, Prognostics and Health Management Society Member and Reviewer
Activities and Societies: IEEE Student Member, American Helicopter Society Member
Activities and Societies: IEEE Student Member, LDSSA PresidentGraduated Summa Cum Laude
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David Coats works for Amazon.
David Coats is listed as EV Charging Technology and Infrastructure at Amazon Last Mile at Amazon.
AeroLeads has found 1 work email signal at @amazon.com for David Coats at Amazon.
AeroLeads has found 4 phone signal(s) with area code 803, 925 for David Coats at Amazon.
David Coats is based in Bellevue, Washington, United States while working with Amazon.
David Coats has worked for Amazon, Abb, University Of South Carolina, Yonsei University, and Sc Department Of Health And Environmental Control.
David Coats's colleagues at Amazon include Tim Gallimore, Nour Gadd, Kainat Khan, Neha Reddy, and Shree Lakshmi.
You can use AeroLeads to view verified contact signals for David Coats at Amazon, including work email, phone, and LinkedIn data when available.
David Coats holds Doctor Of Philosophy - Phd, Electrical Engineering from University Of South Carolina.
David Coats is listed with skills including Matlab, Electrical Engineering, Research, Power Electronics, Programming, Engineering, Simulations, and Labview.
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