Chris Hainley

-Experience with multiple vehicle design project types as advisor to Electric Vehicle Grand Prix, SAE Aero, and SAE Formula Electric teams. -Development of marketing materials and recruitment for vehicle design offerings. -Development in collaboration with adjunct faculty to create vehicle design curriculum. -Collaboration with administration for project budget requirements -Management of summer undergraduate workers -Currently developing a introductory course on autonomous vehicles. -Completed the Robotics for Autonomous Vehicle Systems Bootcamp offered by SAE as part of personal development for this role.

-Provided hands-on experiences to investigate the material properties (tensile strength, hardness, hardenability, and toughness) of and heat treating techniques for steel, aluminum, and copper. -Provided hands-on experiences and lectures focusing on open and closed-loop control dynamics for second order systems using Simulink, Arduino, Matlab, and RSLogix. -Coached students through analysis and reporting of real-world engineering data from materials testing. -Leveraged manufacturing knowledge (casting, milling, turning, general shop tools) to create and run the Fabrication and Assembly Lab. -Management experience as senior capstone instructor for both mechanical and multidisciplinary teams, as well as faculty advisor of 9+ senior design teams. -Experience with business fundamentals as Engineering Economics instructor. -Successful ABET Accreditation and implementation of Continuous Improvement process. -7 years of experience teaching engineering graphics in both SolidWorks and AutoCAD -Implementation of industry recognized certifications in CAD offerings -Experience with teaching fundamentals of Linear FEA, along with supporting subjects of statics and dynamics. Faculty Advisor for 9+ senior projects, including: -SAE Aero Design -SAE Formula Electric -Electric Vehicle Grand Prix -Hyster-Yale Alternative Steering Team -Hyster-Yale Electric Auxiliary Systems Team -Stanley Black and Decker Rail Clip Team -Smart Table Saw Fence Team

I work primarily as an analyst for product field performance. This involves descriptive statistics for product life and customer based key performance indicator, as well internal engineering use. I also work with predictive techniques using ANOVA, linear regression, and Monte Carlo simulations. My work involves extensive use of Minitab and Matlab, though I occasionally do some of my own coding in C++.

-Knowledge generator: Generated over 50 knowledge briefs during the course of my time as a design engineer covering a wide range of subjects: FEA analysis various systems, tutorials for running analyses, field trial analyses -Experienced: Worked as a design engineer on two capital projects: Ultralok and Bandit Shroud System. -Innovator: Received a patent for my work on the Ultralok mechanical locking system. -Knowledge integrator: Applied past research experience in Human Factors to develop a usability scale for GET products. -Data Analyst: Worked as a data analyst, using statistical methods to characterize, validate, and predict product performance. -Forging New Ground: Founded the ESCO Research Community of Practice, where we researched cutting edge technologies in both industry and academia. -Community Member: Member of the LS-Dyna and FEA Communities of Practice and specialized in FEA simulations of GET systems. Primarily worked in LS-Dyna with explicit time-step models to characterize impact loading. -Continuous Improvement: Participated in several Continuous Improvement efforts in multiple in both NPD and manufacturing.

Conducted 6 case studies investigating transitions from a higher level of automation to a lower level of automation (usually manual control). Investigations into the mechanisms of ungraceful transitions in automation. Developed a set of design principles for automation transitions based on case study analysis. Designed an experiment utilizing the Draper Fixed-Base Lunar Simulator to investigate the gracefulness of automation level transition and its transitory effects on operator workload and situational awareness.