Dennis Jl Siedlak Ph D

- Define requirements and test system-level driving behaviors - Mine large volumes of driving data to identify key situations, evaluate performance, and define and track requirements

- Designed, manufactured, and developed entire software stack for 6 prototype robots (2 variations) capable of autonomously transporting cars and storage units within a parking garage - Developed and implemented scheduling and routing algorithms for central controlling software - Designed parking layouts for optimal density and throughout - Implemented application and control level code in ROS - Contributed to product and pitch decks and presented to potential investors and customers

- Developed a Python-based simulation data analytics environment to be transitioned to the Department of Homeland Security to support counter-terrorism efforts - Leveraging concepts from Ph.D. dissertation to develop a scheduling system for satellite ground contacts to support antenna architecture trade studies - Contributed to a winning DHS project proposal - Supporting Air Force enterprise-level space system acquisition planning through schedule data aggregation and manipulation - Developing agent-based simulation leveraging GIS information from Open Street Map to support military utility analysis for the NRO and USAF - Researching autonomous transportation routing and scheduling via integer programming

Research Projects: Boeing 787 Digital Factory of the Future: March 2016 - Present Leveraging data analytics and simulation to identify schedule recovery strategies • Supported the development of the research proposal and statement of work • Leading simulation task with the goal of utilizing real-time information to identify potential schedule problems and recovery strategies Boeing Space Launch System (SLS) Production Flow Analysis: May 2014 - Present Improving the installation plan for sensors on the Space Launch System to reduce risk • Research was implemented to plan approximately 400 man-hours of effort within the SLS production flow • Helped develop the research proposal and statement of work • Authored Statement of Work for 2 project continuations • Prepare and lead progress meetings with sponsor • Leading modeling efforts of the launch vehicle's production flow in Simio (discrete-event simulation software) • Created data visualization environment to aid in the analysis of optimization results within JMP and C# • PhD thesis work extends this project by formalizing an interaction between scheduling, simulation, and optimization to create an integrated methodology that is "deployable" to an industrial setting Manufacturing Influenced Design Production Optimization: August 2012 - Present Integrating manufacturing, production, product family, and economic considerations into the early phases of design Sept. 2015-Present • Grand Challenge Co-Research Lead: Proposed and won approval for the topic. Direct research effort and coordinate training partnership with software vendors Aug. 2013-Aug. 2015 • Grand Challenge Adviser: Support first-year student research by guiding the development and execution of the research plan May 2013-Dec. 2013 • M.S. Degree Special Problem: Presented work at annual Boeing-Georgia Tech academic partnership review Aug.2012-May2013 • Grand Challenge Chief Engineer: Responsible for overseeing all technical work for the project

• Successfully demonstrated the feasibility of a new fuel droplet vaporization rate measurement technique through proof of concept experiments utilizing laser diagnostics • Proposed and led out-of-work Academy project working to develop a micro-gravity experimental platform using high altitude balloons • Presented research to the Associate Administrator of Aeronautics at the 2012 Ideas in Flight conference at NASA Headquarters

• Recommended die modifications to reduce scrap: resolved a problem that had caused 5000 castings to be rejected • Explored improvements to furnace efficiency, die temperature regulation, and production processes • Trained as a machine operator, inspector, and furnace tender to understand the manufacturing process • Managed employees on the floor by answering questions and solving quality issues that arose during the day

• Performed ground tests in engineering hardware for the Burning and Suppression of Solids (BASS) experiment that was flown to the International Space Station on STS-133 • Set up and performed 5 successful tests in Glenn’s 5.18 second Zero G Facility • Improved flame spread analysis efficiency by writing code to implement new, faster video analysis software

• Used Solidworks CAD software to create 3-dimensional models for presentation to potential customers • Manufactured silicone medical devices using an injection molding machine