David Vines Email & Phone Number

Massachusetts, United States

Massachusetts, United States

Wakefield, Massachusetts, United States

Managed all projects for all of StreetScan's customers (e.g. cities), which was over 70 customers during my time in this role. • Managed StreetScan's internal teams (e.g. field crews, engineering, GIS technicians, accounting) via daily meetings and Asana to ensure that customers received high quality deliverables on time. • Operated as the single point of contact for all customers, where I prepared and delivered customer-facing presentations, city council meetings, written reports, software demos, invoicing, calls, and emails. • Designed and developed all aspects of presentations (e.g. outline, script, slides, figures, charts, statistics) for the multiple presentations that are presented to customers over the course of their project to explain StreetScan's technology, milestones, timelines, and completed deliverables. • Utilized MATLAB to generate the charts and statistics that summarize each project’s completed deliverables, which are presented to customers in a delivery presentation at the end of their project. • Designed the live software demo that trains customers to view and use their deliverables in StreetScan's software.

Wakefield, Massachusetts, United States

Managed StreetScan's multidisciplinary engineering team, which comprised of computer, software, mechanical, and civil engineers. • Created and managed the engineering team's milestones, tasks, task assignments, task priorities, and timelines. Utilized Planio to document and track these items and for team members to record their progress. • Utilized daily stand-up meetings and weekly sprint meetings to ensure that the engineering team was on-mission, sharing expertise, and identifying roadblocks. • Created, and managed to completion, a 1-year plan for the engineering team to design, develop, and deploy to customers (e.g. cities) algorithms to detect pavement damage (e.g. potholes, cracks) from the data collected by the 3D cameras on the car-mounted sensor system. The resulting MATLAB-based algorithms utilized image processing techniques (e.g. rectification, disparity map, point cloud creation and regularization, edge detection, ridge detection, skeletonization). These algorithms are now used for all of StreetScan's customers that purchase a pavement scan and have been used for over 50 customers. • Managed the engineering team for all tasks beyond the above-described 1-year plan, which included: 1) building additional mobile sensor systems and maintaining the existing ones; 2) designing the next generation of the car-mounted sensor system; and 3) increasing the capacity of the data storage and processing centers, as well as maintaining them.

Burlington, Massachusetts, United States

Designed and developed the algorithms that generate a 0-100 score that indicates the overall health of streets and sidewalks that are scanned by StreetScan's mobile sensor systems. The input to these algorithms is data collected from the 2D, 360, and 3D cameras on the mobile sensor systems, as well as GPS. The scores from these algorithms are the main deliverable for all of StreetScan's customers (e.g. cities) that purchase a pavement or sidewalk scan and have been delivered to over 150 customers. • Programmed the algorithms in MATLAB, which utilized feature selection and model fitting techniques. • Designed and conducted real-world testing by partnering with customers, where StreetScan scanned their city and used the algorithms to produce scores for their streets and sidewalks. The customer's City engineers then gave their expert critique for each of the scores.Designed and developed the software that StreetScan's technicians use daily to perform quality control (QC) on the pavement and sidewalk distresses (e.g. potholes, cracks, tree uplifts) that are detected from the mobile sensor systems. This QC software is used for all customers (e.g. cities) that purchase a pavement or sidewalk scan and has been used for over 150 customers. • Designed the QC software to support 10 or more simultaneous users. • Designed the QC software to output reports for each user that show their progress and performance statistics. • Programmed the QC software in MATLAB, which includes the user interface, as well as the following capabilities: 1) customizable playback of video and 2D, 360, and 3D imagery; 2) image manipulation; 3) reading and writing from a relational database and SQL; 4) plot GPS data on satellite imagery; and 5) draw polylines on satellite imagery and 3D imagery. • Compiled the QC software with MATLAB Compiler to allow it to be run as a standalone application.

Burlington, Massachusetts, United States

Designed and developed the hardware and algorithms for a car-mounted sensor system that uses 20 K-band FMCW radars to map the pavement surface in 3D. The system also detects pavement damage (e.g. potholes, rutting) and manholes. • Researched the state of the art via literature review and attending conferences. • Programmed the algorithms in MATLAB, which utilize signal processing techniques for FMCW radar, frequency domain analysis, and pattern recognition. • Designed and fabricated the custom radar circuit boards with an outside contractor. • Designed and modeled the system's hardware in SolidWorks (e.g. antennas, protective enclosures, cables, connectors). • Fabricated the cables and connectors using wiring techniques (e.g. soldering, stripping, crimping). Fabricated the remaining hardware using an outside contractor. • Designed and conducted tests that used lab testing equipment (e.g. oscilloscope, signal generator, multimeter, power supply, data acquisition hardware (DAQ)). Used MATLAB to control the DAQ and for real-time data processing and plotting. • Designed and conducted real-world testing on city streets. Tested and compared ground penetrating radar sensors (GPR) for StreetScan's new service offering of detecting underground utilities (e.g. drain lines, sewers, electrical power lines, lighting cables, conduits). • Designed experiments and then constructed the associated test site with a paving contractor, where physical models of underground utilities were buried underneath the pavement surface. • Collected data over the test site using GPR sensors from different manufacturers. • Analyzed and compared the collected data and determined the GPR sensor that StreetScan went on to use for future customers.

Boston, Ma

Designed and developed the hardware and algorithms for a car-mounted sensor system that uses 5 K-band FMCW radars to map the pavement surface in 3D and to detect damage (e.g. potholes, rutting) and manholes. • Researched the state of the art via literature review and attending conferences. • Programmed the algorithms in MATLAB, which use signal processing techniques for FMCW radar, frequency domain analysis, and pattern recognition. • Collaborated with radar experts to select the radar circuit board. • Designed and modeled the hardware in SketchUp (e.g. antennas, protective enclosures, cables, connectors). • Fabricated the cables and connectors using wiring techniques (e.g. soldering, stripping, crimping). Fabricated the remaining hardware using 3D printing and a machine shop. • Designed and conducted tests that used lab testing equipment (e.g. oscilloscope, signal generator, multimeter, power supply, data acquisition hardware (DAQ)). Used MATLAB to control the DAQ and for real-time data processing and plotting. • Designed and conducted real-world testing on city streets. • Presented the work in journal papers and on-camera interviews with media outlets, as well as through conference presentations, papers, and posters.Designed and developed the algorithms for a car-mounted sensor system that applies data fusion and machine learning to data from acoustic, accelerometer, tire pressure, and laser distance sensors to detect the pavement's material properties and overall health. • Researched the state of the art via literature review and attending conferences. • Programmed the algorithms in MATLAB, which utilize frequency domain analysis, feature selection, data fusion, and multiclass support vector machine. • Designed and conducted real-world testing on city streets. • Presented the work in conference presentations, papers, and posters.

Boston, Ma

Designed and developed a structural health monitoring (SHM) approach that uses data from sensors mounted on a structure (e.g. building, bridge), as well as machine learning and finite element modeling to monitor the structure's health and identify damage. • Researched the state of the art via literature review and attending conferences. • Programmed the algorithms in MATLAB, which utilize feature selection and multiclass support vector machine (SVM). • Designed and assembled a test environment that used a physical model of a multi-story building, which was outfitted with accelerometer sensors, an electrodynamic shaker, and data acquisition hardware. • Tested the SHM approach by applying it to the above-mentioned test environment, where it successfully identified the presence and location of damage (e.g. loss of stiffness) that was applied to the physical model. • Conducted real-world testing by applying the SHM approach to data from strain and displacement sensors installed on the cable-stayed Zhanjiang Bay Bridge in China, where the SHM approach identified abnormal behavior in one of the expansion joints. • Presented the work in conference presentations, papers, and posters.

Doctor Of Philosophy (Phd), Interdisciplinary Engineering, Gpa 3.8

Master Of Science (M.S.), Structural Engineering, Gpa 3.8

Bachelor Of Science (B.S.), Civil Engineering, Gpa 3.6