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Daniel Egan Email & Phone Number

Senior Researcher - AI and Vehicle Controls, Reinforcement Learning at General Motors
Location: Southfield, Michigan, United States 8 work roles 3 schools
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Role
Senior Researcher - AI and Vehicle Controls, Reinforcement Learning
Location
Southfield, Michigan, United States
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Who is Daniel Egan? Overview

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Daniel Egan is listed as Senior Researcher - AI and Vehicle Controls, Reinforcement Learning at General Motors, a company with 102186 employees, based in Southfield, Michigan, United States. AeroLeads shows a matched LinkedIn profile for Daniel Egan.

Daniel Egan previously worked as Associate Motorsport Software Engineer at Bosch Usa and Associate Motorsport Software Engineer at Bosch Usa. Daniel Egan holds Doctor Of Philosophy - Phd, Automotive Engineering from Clemson University.

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General Motors

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Profile bio

About Daniel Egan

Experienced MATLAB and python programmer in the field of reinforcement learning (RL) and artificial intelligence (AI). I look to combine my model-based mechanical engineering background with state-of-the-art machine learning (ML) techniques to accelerate product development. Graduating with a Ph. D. in Automotive Engineering in early 2023.

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General Motors
General Motors
Senior Researcher - AI and Vehicle Controls, Reinforcement Learning
Southfield, MI, US
Website
Employees
102186
AeroLeads page
8 roles

Daniel Egan work experience

A career timeline built from the work history available for this profile.

Senior Researcher - Ai And Vehicle Controls, Reinforcement Learning

Southfield, MI, US

Associate Motorsport Software Engineer

Southfield, MI, US

Associate Motorsport Software Engineer

Current

Novi, Michigan, United States

Apr 2023 - Present

Graduate Research Assistant

Greenville, South Carolina Area

  • Accelerating the Derivation of Optimal Powertrain Control Strategies Using Reinforcement Learning and Virtual PrototypesModern powertrain complexity has reached a threshold where classical control and calibration.
  • Development of a DRL-based framework to create rapid and fair comparisons of novel powertrain concepts for hybrid electric vehicles. Designed to accept any set of constraints (thermal or mechanical) and control the.
  • Use of DRL to control a organic Rankine cycle (ORC) waste heat recovery system (WHR) for class 8 vehicles over entire drive cycles. Control oriented moving boundary models of ORC systems break down when all three.
  • Enabling real-time non-linear model predictive control (nMPC) using artificial neural networks (ANNs) with modern internal combustion engines. nMPC linearization and computation time can be reduced by modeling complex.
Aug 2016 - May 2023

President

Rose Grand Prix Engineering

Terre Haute, Indiana Area

- Oversees day-to-day activities, relations, and finances - Teaches and advises on manufacturing methods and techniques- Leads design of unsprung mass components (SolidWorks)- Utilizes Finite Element Analysis to verify designs (SolidWorks & Ansys)

May 2015 - Jul 2016

Powertrain Intern

Auburn Hills

- Researched current industry knock metrics and investigated relationships between them- Analyzed the feasibility of new knock metrics and new knock threshold determination methods- Designed and conducted test plans to gather knock information on a variety of engines- Coordinated research efforts with a global team of engineers

Jun 2015 - Aug 2015

Calibration & System Validation Intern

Indianapolis, Indiana Area

- Validated and submitted new calibration values for upcoming software release- Conducted software validation test plans of new software features in development vehicles and on simulators- Traced several software calculation values to their root cause and recommended solutions - Interpreted transmission controller software to update test plans to current.

May 2014 - Aug 2014

Intern

Terre Haute, Indiana Area

- Distinguished Intern Nominee- Developed machine setups and procedures for the manufacture of prototype parts- Advised interns on how to design for parts for manufacturing- Manufactured one-off parts for prototype designs- Communicated design ideas and processes to interns

May 2013 - May 2014
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3 education records

Daniel Egan education

Doctor Of Philosophy - Phd, Automotive Engineering

Dissertation: Accelerating the Derivation of Optimal Powertrain Control Strategies Using Reinforcement Learning and Virtual Prototypes

FAQ

Frequently asked questions about Daniel Egan

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What company does Daniel Egan work for?

Daniel Egan works for General Motors.

What is Daniel Egan's role at General Motors?

Daniel Egan is listed as Senior Researcher - AI and Vehicle Controls, Reinforcement Learning at General Motors.

Where is Daniel Egan based?

Daniel Egan is based in Southfield, Michigan, United States while working with General Motors.

What companies has Daniel Egan worked for?

Daniel Egan has worked for General Motors, Bosch Usa, Clemson University, Rose Grand Prix Engineering, and Fca - North America.

Who are Daniel Egan's colleagues at General Motors?

Daniel Egan's colleagues at General Motors include Jungkun (Jk) Yoo, Runyuan Jiang, Drew Mahosky, Hervé Michel, and Jackie Braack.

How can I contact Daniel Egan?

You can use AeroLeads to view verified contact signals for Daniel Egan at General Motors, including work email, phone, and LinkedIn data when available.

What schools did Daniel Egan attend?

Daniel Egan holds Doctor Of Philosophy - Phd, Automotive Engineering from Clemson University.

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