Lead development of simulation pipeline for testing prototype autonomous commercial vehicles

● Lead team reviews of 8 suppliers to down select the best long term solution

● Develop simulation pipelines and interfaces with the stack to test perception, path planning, and vehicle controls

Lead engineer for vehicle controls, drive-by-wire, and localization software

● Coordinate supplier contracts and collaborations for by-wire systems, HD maps, GPS solutions, and simulation

● Debugged interface issues in open source autonomous software (ROS, Autoware.ai) including path

planning, GPS/INS based localization, HD maps, and vehicle control

● Diagnose and fix problems between the vehicle controls and path planner by modifying open source code

● Developed and validated all drive-by-wire software for a prototype autonomous vehicle using

dSPACE Simulink libraries including throttle, brakes, steering, and safety

● Mentored 3 interns and their projects including drive-by-wire systems and HIL testing

Develop and integrate electric powertrains to build Navistar’s first prototype electric commercial vehicles

● Lead design and integration of a new powertrain for a demo electric vehicle

● Develop HMI, functionality, and communication requirements for prototype electric vehicle digital display clusters

● Designed controls for accelerator pedal safety, door operation, air compressor, and electric power steering

● Diagnosed and troubleshooted high and low voltage systems on an electric vehicle

● Supported in design of low voltage wiring for an electric vehicle, focusing on all CAN communications

● Implemented all controls and actuation utilizing J1939 CAN protocol, analog and digital IO, and H bridges

Develop, test, and implement fuel economy saving technologies for DoE sponsored SuperTruck II program

● Debugged, verified, and translated entire production Predictive Cruise Control (PCC) code from C++ to MATLAB to make code more accessible to users

● Write interface software with ADASIS applications for next generation PCC algorithms

● Simulated and investigated different shift schedules to optimize fuel economy

● Simulated and investigated rear axle ratios to optimize fuel economy with a given transmission and drive cycle

● Diagnosed and fixed vehicle field problems using multimeters, CAN tools, and PCAN routers

Develop and integrate new ADAS technologies for commercial vehicles

● Develop a test to downselect an in-cab ADAS technology from various suppliers where no SAE/ISO standards exist

● Gathered requirements for a new in-cab ADAS technology by communicating with customers and key stakeholders by conducting customer interviews and directing online forum discussion

● Researched new in-cab technology and its benefits through supplier presentations, research papers and interviews

● Communicate and work with various suppliers offering competitive products

• Automated the data analysis process for measuring the performance of On Board Diagnostics calibrations on prototype vehicles using Matlab

• Designed a locator tool in Matlab to identify when and where points in INCA data satisfied user specifications

• Analyzed ECU acceleration pedal logic controls to diagnose and fix problems in Hardware in Loop development