Anya Lynn Getman, PhD

***** ** ********* ****

Sandy, OR 97055

acoxmt@r.postjobfree.com

cell 313-***-****

CAREER SUMMARY

Hands-on engineer, manager, researcher, programmer, instructor, and

customer /supplier /government coordinator with 25 years of Telematics.

CAN, HIL,ADAS, Rational Doors, human factors, six sigma, controls,

diagnostics, prognostics, automation, safety, automotive, emissions,

security, hydraulics, and alternative energy systems experience with

NMHG/Hyster/Yale, MIS 2000, UNR, Caterpillar, Ford, IBM and GE.

Extensive implementations of sensor fusion, nonlinear modeling, and

artificial intelligence, designing controllers and user-friendly interfaces

that isolate, track, predict, and diagnose real-time signals in uncertain

environments.

Experienced in taking product from inception to customer to warranty to

legacy, via solid, static, dynamic, flow, finite element, controls, state

flow, vibration, sound, and frequency-based modeling approaches. Also

Current with Wing Leader, Community Emergency Response Team, and Forklift

Operation Training.

PROFESSIONAL EXPERIENCE

NACCO Materials Handling Group, Fairview, OR,

Chief Engineer, Innovation Group, 2011 - 2015

Led a team of engineers and technicians, developing and supporting legacy

and new product in conjunction with telematic controls for Hyster and Yale

forklifts, ranging from 1 to 9 ton, cushion and pneumatic tire, electric,

LPG, natural gas, and diesel, the latter of which required emissions

qualification for Tier 4.

Explored new technologies and applied them to company products and

processes:

Collision Avoidance - Sensors, Vision Systems, Controls, ADAS Software

Automation of Forklifts for both Outdoor and Indoor Applications, w/Matlab

& ROS

Sensors - Ultrasonic/ Radar/ Laser/ Proximity/ Hall/ GPS

Vision Systems - Mono and Stereo Cameras/ Infrared/ Lidar

Hybrid Development - Electro Hydraulic

Advanced Cooling Systems

Controls - Software development - HIL Diagnostics/ Prognostics, using both

CANopen and J1939

Modeled the transmission and drive, and designed a control strategy that

respected the acceptable performance envelope and used real actuators,

using a fully model based approach. Strategy developed and calibrated in

Simulink, code generated by Target Link.

In parallel, developed a HIL system for doing a detailed Verification

&Validation on the Engine Control Unit. HIL ran the plant model for the

Fork lift and the transmission. With HIL and test automation via Python

Scripts, reduced test time from 3 months manually, to 24 hr.

Also: Led specifications with Rational Doors, test plan development,

implementation, and analysis, along with technology transfer to production

and aftermarket. Led company Innovation teams with specific Product

application focus. Managed Global reviews of Innovation submissions from 5

design centers. Disseminated knowledge gained, across all design centers.

Introduced the company to nonlinear modeling, controls, and diagnostics/

prognostics. Used prior involvement in grant review committees to assist in

NSF and other federal grant applications to aid smooth transition of

supplier and university technologies to production. Led the development of

a Microsoft Excel-based user friendly CAN(CANdo) data processing and

display package, drastically reducing debug time between my engineers and

service personnel, from as long as weeks, to as short as hours. Gained a

turnaround in trust with the Service Organization, obtaining a half dozen

senior personnel to volunteer to take data for the next generation

diagnostics software. Led an FMEA for synchronous steering, leading to

identifying several failure modes before its immediate release in Europe as

a kit to increase market share. Led a comprehensive inquiry into

overheating issues with a three wheel product designed by a sister

facility, identifying and correcting several design and installation

issues. Uptime reliability of the product rose 56% first summer. Second

sourced sensors, wiring harness redesign, made forklift hydraulic

controllability improvements, and implemented a heavy duty cooling kit for

paper mills. Over 200 trucks have already sold with new cooling package.

CFD analyzed the impact of 17 possible changes, given noise, vibration, and

serviceability constraints, all in preparation for full automation. Via

suppliers, successfully automated 2 warehouse products and one

counterbalanced, after already implementing first generation telematics

with GPS, wireless, and obstacle sensing. Advised lead investigator for

NSF submission for automated manipulation of solar panels on the moon.

Assisted in sourcing and prototype development of Golden Tiger China truck.

BIR Solutions, Reno, NV, Consulting Engineer 2011 - 2012

Identified appliances in a home or business from voltage and current at the

breaker box and gas meter. Developed a user friendly interface for adding

new appliances. Reduced false alarm rates due to appliances with variable

power usage. Explored use of remote wireless power for extra prognostic

capability.

MIS2000, Reno, NV, Project Manager and Researcher 2010 - 2015

Lead a team of engineers programming iphones to telematically track

location, orientation, and speed of zigbee enabled assets, interacting in

real time with each other and with a server-based asset database, then

developing and implementing diagnostics, prognostics, and cybersecurity

algorithms. Communications challenges between devices with proprietary

software, via methods and delegates, paralleled the challenges vehicles and

machines faced with third party subsystems. Next phase involved linking

this technology to cognitive radio, which is adaptive to user carrier

preference in the face of current data traffic. Demonstration of tutorial

video was so impressive, helped land BIR account.

University of Nevada, Reno, NV, Research Associate Professor 2009 - 2010

One year contract assignment developing an interactive financial

transaction model for current Department Homeland Security assignment,

employing hundreds of adaptive AIs, exceeding customer expectations.

Developed real time agents that model human behavior, as well as

characterize and intercept rogue behavior, extremely useful for avoiding

disaster in runaway automated moving vehicles and machines. Financial

market executives were impressed with the model's real time reactions to

their inputs. For parallel assignment, modeled wind propagation from SoDAR

to anemometer, confirming cross-platform adaptation of neural network

developed for America's Cup racing. Ran Computer Science Department demo

for numerous high school student tours. Won an undergraduate student

proposal for wind generator prognostics. Tutored high school students on

game design for the UNR engineering summer camp. Member of curriculum

restructuring committee (combining Computer Science and Computer

Engineering) and conference referee. Invited to co-teach classes in Neural

Networks, Alternative Energy, and Thesis Topics, even while not on tenure

track. Took over duties of tenure track professor while he recovered from

surgery. Advised 2 Davidson High School students, 5 graduate students, 2

undergrads, and 2 post grads. Ordered neural network software for classes

and projects, and trained students.

Caterpillar Tech Center, Mossville, IL, Senior Engineer/ Six Sigma

Blackbelt 2009 - 2009

Special assignment investigating Tier 3 telematic Product Link engine and

transmission fault codes that are impacting Mean Dealer Repair Frequency,

resulting in No Fault Founds in 50% of sensors returned. Separated

electrical from mechanical claims in myCPI, extracting details with SIS,

HVC, EDS, and Cat Certified Rebuild Data, contacting dealers and customers

regarding troubleshooting procedures, brainstorming root causes (e.g.

procedural, software, hardware, wiring harness/battery, cross-platform

incompatibilities, etc.). Recommended solutions for both Tier 3 and Tier 4

product, and documenting challenges encountered during the investigation,

approval, and documentation process for later optimization. Gathered data

to justify wiring harness simplification to drastically reduce warranty.

Caterpillar Tech Center, Mossville, IL, Senior Engineer/Group Leader 2006 -

2008

Senior Engineer and Group Leader of up to a dozen mostly young engineers in

Prognostics, Diagnostics, and Electronics for Diesel Engine Emissions

Compliance, Automation, and Existing Product. Developed long-term viable,

observable, controllable, and auto-calibratible HIL, ADAS, and monitoring

algorithms for diagnostics and prognostics. Transferred a feasible misfire

algorithm to Cat Electronics, identifying and correcting two shortcomings

in the initial algorithm. Developed a new fuel delivery monitor (via

injector check motion). Demonstrated a feasible anomaly detection model

for electric drive three phase induction motors, essential when not allowed

to break the prototypes. Identified an approach to isolate damage to one

of two motors, despite a common alternator, using only volts and amps.

Wrote an algorithm to reliably detect more than one collapsed mining truck

hydraulic strut. Wrote a course outline for the DMEDI version of Lean

Methodology and Product Development class. Assisted streamlining of new

Readiness Level Gate Review Process, and used Particle Counter evaluation

as a test case. Technology Showcase organizer for three years, and

initiator/co-implementer of placing posters and demo movies on the web.

Worked with Aurora and Analytics to streamline cooling package selection,

based on an earlier engine calibration, as part of a larger effort to

attempt to merge (and avoid transitioning errors for) three independent

modeling packages used during the development process. Utilized Dynasty,

DATK, and Pro/E for several projects.

Obtained, and instrumented, a mobile testing platform for system-aware

diagnostics and prognostics (and real mine use durability). Trained team

how to analyze telematics data from, and develop models and algorithms for

(on W = 980H2 Wheel Loader, T = W900 Tractor Trailer, S = 825H soil

compactor, D = D10T TTT):

(W,S) non contacting torque sensor, in parallel with a strain gage torque

sensor, to explore multiple application advantages

(W,T) two NOx sensors, to capture cross platform (and emissions Tier)

differences

(W) MAF sensor and humidity sensor as potentially useful inputs

(W) accelerometers for gear, bearing, and seal failure prediction

(W, T) instrument grade pressure sensor for production OCV pressure sensor

to learn a reduced uncertainty/false alarm model, gleaning info from ECM

variables

(W, T) cylinder pressure sensors to explore their multiple application

advantages

(W, D) Parker and Hydac optical particle counters to confirm/deny damage

detection, as demonstrated with metal detectors in Bldg G (my work from

2007)

(W) Tru-kleen oil sampler to demonstrate event-triggered samples to extend

oil change intervals, and schedule flagged maintenance/troubleshooting

during the oil change, not as a separate event

(W,D) two instrument grade accelerometers to triangulate powertrain

damage/correlate to frame damage

(W) Two artificially tooth-damaged gears and two damaged cylindrical

bearings for accelerometers to triangulate

(D) two automotive accelerometers to compare to instrument grade

accelerometers

(D) Numerous strain gages reinstalled in previously determined high stress

areas

(W) Vision-based obstacle avoidance software demonstrated for Automated

Truck Program

FORD SCIENTIFIC RESEARCH, Dearborn, MI 1995-2006

Brake and Chassis Design Technical Expert 2004-2006

With industry first accuracy, reduced prototype testing costs by over 35%,

and substantially reduced material evaluation across vehicle groups, by

accurately extrapolating engine test stand brake friction, and wear, to

enable faster compliance for more variable in-vehicle stops. Released user-

friendly development software to brake engineering, allowing high school

graduates to consistently calibrate with a neural network, despite no prior

experience with one. Updated and adaptively automated a thermo-mechanical

model for dimensional tolerance variation and brake torque variation.

Methodology is extrapolatable to engine-based friction surfaces.

Intelligent Vehicle Technologies Technical Specialist 2002-2004

Drastically reduced sensor fusion integration development time by

developing a multi-vehicle ADAS accident avoidance simulation environment

in Matlab Simulink. Varied road topology, vehicle types, states of

wear/repair, human driver style and level of distraction, providing for

various levels of reaction/non-reaction, including braking, acceleration,

and steering. Implemented intelligence algorithms into mechatronic

intelligent wiring harness. Trailer Oscillation patent has been

implemented in the 2009 F150. Designed and drive-demoed production quality

auto show concept cars with our new technologies, driving the press around

in them. All vehicle intelligence was HIL modeled and integrated to

compliment and not interfere with engine controls. Car and Driver was

impressed with both features and user interface. Demonstrated an

intelligent agent, live at auto shows, that allowed a human driver sitting

inside of a real Ford vehicle, but in front of a screen, to survive a near

impossible driving scenario, with dense fog and aggressive drivers.

Advanced Diagnostics and Prognostics Technical Specialist 2001-2001

Accomplished short notice launch of autocalibratable telematic truck fleet

diagnostics/prognostics, first training for, then incorporating into,

engine calibration procedures with HIL Developed and implemented online

cylinder pressure and emissions prognostics to assimilate data from

differing sources, and at differing sample rates.

Artificial Neural Systems & Fuzzy Logic Research Engineer B 1998-2000

Solved numerous customer problems via the application of neural networks,

wavelets, deterministic chaos (time delay embedding technique), and data

mining to engine combustion modeling, calibration, control, engine air/fuel

ratio calibration, weather prediction, global positioning and inertial

navigation. Advisor to numerous technology user groups. Bad-burn

combustion predictor patent has been quoted numerous times by similar, yet

more memory intensive patents, including one by Detroit Diesel. For

America's Cup, predicted wind direction 15 minutes into the future. When

the model indicated that it was certain of the direction (80% of the time),

it was 100% correct. Competitors soon assumed that our team automatically

knew which way to turn, and would focus on getting ahead of us. Worked

closely with CFD (Computational Fluid Dynamics) Group to also implement a

best tacking angle for the team.

Engine and Processes Research Engineer A 1995-1997

Improved GESIM engine mapping modal real time emissions and fuel economy by

80% via menu driven, user-friendly adaptive neural network based software.

First to demonstrate two approaches to adaptive automated A/F calibration

(varying from one to five evaporation time constants), both of which were

implemented into official calibration procedures (the more complex

approach, a decade later, when all other approaches failed).

FORD EMISSIONS TEST LABS, Allen Park, MI 1994-1995

Product Test Engineer A, Manual/Automatic Transmission Robot Drivers

Developed and implemented industry first methodologies for robots to drive

like, and generate emissions like, humans. Extensively site operator and

D.O.E. (high/low temperature humidity & altitude) tested. Manual robot

driver's repeatability saved Contour Job 1 deadline by allowing a fast re-

calibration when preliminary assembly line change in length of EGR hose

resulted in poor NOx.

GE AEROSPACE, Binghamton, NY 1991-1991

College Intern Manufacturing and Methods Engineer

Redesigned and implemented upgrades for manual and automated equipment and

processes for the manufacture of through hole and surface mount circuit

board assemblies for Aircraft, Submarine, and Ground Vehicle Controls.

Pivotal in debugging new automated ESY2 circuit board assembly line to meet

critical production deadlines. Reduced defects by 63% the first month of

implementation.

IBM GENERAL TECHNOLOGY DIVISION, East Fishkill, NY 1988-1990

Equipment Engineering Group Leader

Second sourced, automated, and extended the original design capabilities of

discontinued semiconductor manufacturing equipment through engineering

changes, contamination reduction strategies, troubleshooting with

diagnostic equipment, and Computer Integrated Manufacturing implementation

(e.g., SPC, endpoint detection, frequency particulate sweeping), as well as

daily direction of technical and maintenance staff. Improved relative up-

time reliability of Perkin-Elmer Omnietch 90%, from last to second best.

Omni process model adopted by the other toolsets. Led investigation to

switch toolsets from AME to LAM after determining capability shortcomings,

just in time to cancel $6 million order. Worked with the IBM server

applications that still run in the back rooms of many corporate purchasing

departments. Spend extensive time modeling with CADAM and CATIA.

GE PLASTICS HEADQUARTERS, Pittsfield, MA 1987-1987

College Intern Engineering Resin Design and Manufacturing Engineer

Sold 2.7 million pounds of resin (over $4 million) by establishing ongoing

customer relationships, technically analyzing last-minute inquiries for

field marketing en-route, and stretching technology by accessing industry

experts and utilizing the capabilities of local businesses. Designed menu

driven stress and deflection analysis software, plus a design manual for

successors. Received standing ovation for project presentation employing

the assistance of a Sasquatch for the complete design assistance process.

Spent extensive time modeling with ANSYS finite element analysis and mold

flow analysis.

IBM FEDERAL SYSTEMS, Owego and Vestal, NY 1984-1986

T.J. Watson Memorial Scholarship Summer Intern

Configuration Management, Travel Expense Accounting, & Retiree Processing

EDUCATION

PhD, Electrical Engineering, SUNY Watson School, Binghamton, NY 1995

Dissertation: Diagnostic & Adaptive Redundant Robotic Planning & Control

Complete wheelchair redundant robot planning and control hierarchy,

including: joint friction, mass, and stiffness diagnostic networks,

including localized compensation to approximate ideal stiff robot, lifting

object category networks, touch sensor neurofuzzy tip and slip control

(adaptive to surface friction and shifting center of gravity), neural

network task planning trained by stochastic Petri nets.

MS, Manufacturing Systems with Automation, concentrating in Robotics,

Manufacturing Management, and CAD/CNC, Rensselaer Polytechnic Institute,

Troy, NY 1992

Thesis: Robot Trajectory Control Employing A Novel Neural Architecture

BS, Mechanical Engineering, concentrating in Manufacturing, Materials, and

Technical & Professional Communications, RPI, Troy, NY 1988

Project: HC11 driven Mini Robotic Assembly Line w/ Milling, Drilling,

Storage

MEMBERSHIPS / AFFILIATIONS

Six Sigma Blackbelt, 2008, Passed EIT 1988.

Chair IEEE/CIS ISATC (Alternate Energy) Task Force/Industrial Outreach,

Ongoing

IEEE IJCNN and Int. Systems, Track, Session, and Booth Organizer Ongoing

IEEE Intelligent Transportation Systems Booth Designer & Demonstrator

Ongoing

HFH, SAE A World In Motion, STEPS, VEX, & FIRST Robotics Volunteer, Ongoing

Visiting International Employee Social Interaction Coordinator Ongoing

Mathworks (Matlab, Simulink, HIL) User and Software Beta Tester Since 1984

Ford Communications Network Tutorials and Interviews 2000's

AIGER Manual and Automatic Robot Emissions & Driving Committee 1990's

Rensselaer & Binghamton University Guest Lecturer 1990's

Many years' experience with FEA, CAE, CNC, modeling, controls, and

simulation packages

Specific to a Technical Position

* PhD in Electrical Engineering, MS and BS in Mechanical Engineering.

* Experienced in cross platform calibration and autocalibration of

controls for both structural and rotating components (i.e. vibrating frame

welds at the same time as transmission during ripping) to avoid resonances,

gain schedule balanced wear across gearing for longest/ synchronized

maintenance interval, and prognose upcoming failures via (physical and

virtual) sensors, including by triangulation, or when location is not as

important as timely detection, at sample rates as low as 100Hz. Repeated

success implementing sensor fusion in the frequency domain, as well as

successful extrapolation of behavior to field operating conditions not seen

in the lab.

* Experienced in designing for (current and potential) assembly and

manufacture

* Decades of experience in mechanical analysis, and for hydraulic analysis,

successfully extended functionality of collapsed strut detection from one

to multiple struts.

* Matlab user since 1984 and Simulink user since its release

* Engineer since 1988

* Strong analytical ability, initiative, oral/written communication skills,

and able to perform complex assignments.

* Project leadership experience for design, packaging, manufacturing, and

cost

* 6 Sigma DMAIC and DMEDI BlackBelt

* Experience with design specifications documentation

* Experience with New Technology and New Product Introduction life cycle

* Drivetrain systems integration experience

SELECTED ACCOMPLISHMENTS

Real Time Diagnostics/Prognostics

Developed and implemented during America's Cup racing, a wind direction

prediction neural network, with a 15 minute (no more information allowed)

prediction horizon (when the neural net indicated a trend, 80% of the time,

it was correct 100% of the time). Opposing teams quickly assumed our team

always knew where to tack. Transferred algorithms to cancel out wind

effects on vehicle coastdowns, then to predict wind direction between SODAR

units and anemometers many miles apart. Modeled sailing dynamics to

subsequently obtain optimal boat speed tacking angle. Developed and

implemented an accelerometer based, tunable multi-canister airbag firing

algorithm, seatbelts on or off, reducing false alarm rate to negligible

levels, despite complex events like pole impacts and displaced manhole

covers. Developed and implemented a neural network based, calibratible,

several cylinder event ahead "bad burn" predictor, using only summary

cylinder pressure magnitude and location, allowing more conservative,

richer, fuel control, only when needed. Patent has been referenced by 3

other patents. Simplified further for crank angle implementation. Predicted

engine torque, air to fuel ratio, and emissions, for a given speed trace

and vehicle, due to the frequency content of the human or robot driver's

pedal movements alone. Models and hardware respond identically to PID and

other controllers. Calibrators were able to reduce testing by 50% after

subtracting out driver contributions. Technical advisor and trainer for a

PhD student implementing online air/fuel ratio calibration for vehicles

already on the road. Personally extended and enhanced these capabilities to

implement Ford's first air/fuel automated calibration, drastically reducing

warranty emission failures.

Sensor Fusion

Developed and implemented a frequency based magneto-resistive blind spot

vehicle detector, orientation independent and eliminating many false

alarms. Added a cost effective ride height based road surface

characterization that eliminates most remaining magneto false alarms.

Developed and implemented a panoramic blind spot detector for blind spot

detection and precise object tracking, complimenting and potentially

replacing existing video. Technical advisor and trainer for PhD student

combining fuzzy logic and Kalman filters for radar based collision

avoidance. Personally extended and enhanced these capabilities with neural

networks, drastically reducing false alarms via intelligent tracking.

Developed and implemented an industry first neural network based

(dynamometer sensor only, during idle) prediction of acceleration stiction

and braking delays of unique test vehicles (0.4-1.3 sec), and implemented

adaptive control into supplier robot software as a modifiable subroutine.

Eliminated emissions inconsistencies and brake fade test aborts. Redesigned

the optical and processing hardware of a robotic wafer dome loader to

ensure faster, more reliable operation on warped evaporation domes in a

polished stainless operating environment, employing a simple pinhole

camera. Aborts reduced to zero.

Adaptive Interactive Intelligence

Developed and implemented an adaptive multidimensional warning agent for

optimal vehicle spacing and lane placement. Successfully demonstrated live

at IEEE ITS on simulation buck, where human drivers could not survive

foggy, disaster filled scenario without the agent. Successfully

demonstrated a four-vehicle intersection collision avoidance scenario with

robots, via tunable drive styles (weighting tendencies to accelerate,

brake, steer, or obliviously ignore). Vehicles trained to automatically

return to driving lanes after event. Developed and implemented a flow

visualization motion frequency based object identification and tracking

system to predict relative threat, direction, and type of object. By

sharing hardware and software, was flawlessly integrated with false alarm

prone feature based object classifier algorithms. Developed and implemented

real time adaptive force sensing and adaptive actuation for both wafer

handling and automotive passenger seating (slow adaptation for comfort and

fast adaptation for during accidents). Combined seat and near infrared

sensing to detect number and orientation of seat occupant heads, fine

tuning accident mitigation. Current University of Nevada, Reno project

involves an interactive simulation of a complex infrastructure scenario,

where anywhere from one to hundreds of adaptive agents interact with

humans.

Leading with a Cost, Performance, Customer, Environmental, Health, & Safety

Focus

At IBM: MSDS approved new particles for contamination vs. throughput

experiments on the manufacturing line (no trivial task). Also at IBM,

negotiated compromise wafer handler speed which maintained reasonable cycle

time, yet minimized risk of human hand damage. Finally at IBM, wrote etch

tool maintenance procedures to maximize technician safety, while minimizing

downtime. At Ford, operated emissions test cells as an operator, then

trained operators to install and run tests with driving robots. Worked

side by side with union electricians to install new sensors and controls in

a consistent, safe, easy to monitor fashion. Also at Ford, reduced

emissions modeling error by 85%, vastly improving accuracy of integrated

engine design program, by accurately modeling the contributions of human

and calibrated engine. Additionally, modified test cells to safely

accommodate new, higher delta speed and delta torque emissions tests, and

wrote adaptive, specialized robot controls to drive with emissions behavior

typical of observed driver variation. Allowed Contour program to achieve

production schedule deadline by providing meaningful, repeatable inputs for

NOX = f(EGR hose length) study. Also at Ford: modeled, then implemented,

next generation vehicle driving algorithms for accident avoidance and

mitigation, comparing solutions that ranged from no new technology, to a

full suite of sensors. Finally, at Ford, implemented user-friendly

calibration and brake material selection interface, extrapolating uniform

sample pad test cell data to human driven cross-platform vehicle braking

data, greatly improving consistency in brake performance and maintenance in

the finished product. Inconsistent brake performance can easily double

stopping distance, which can result in property damage or worse. At

Caterpillar, wrote and web published development engineer specific safety

procedures for the development wheel loader. Restructured the Machine

Health Group to be on-machine demonstrable, system integrated, and cross-

platform capable, all of which is key for safe, consistent operation of

200+ platforms, all of which need to seamlessly adapt, with far less system

uncertainty as humans are removed for autonomous operation. Due to the

Health Group's success with maintaining reliability, uptime, and safety

with a dozen experimental technologies installed, IPS (Systems) is adding

more machines (scraper and excavator) to Galena Road and Gravel, the same

working quarry. Championed the effort to develop cross platform condition

monitoring for grids of wind generators, many of which are still in the

early phase of their life cycle. Inaccurate forecasting of uptime

availability, and/or an inability to maintain current percentage uptime,

will hamper efforts for continued government support. Finally, at

Caterpillar, championed the effort to channel management's recent cost

reduction efforts toward wiring harness simplification, to which the

harness group readily agrees, involves current technology that they have

demonstrated, involves no new controls (possibly fewer), reduces

installation error and time up to 50%, and will not only instantly

eliminate up to 50% of all No Fault Founds in sensors all over the product

lines, it will drastically reduce frustrating, labor intensive, and

sometimes health-risky debugging by time-constrained technicians. Not only

will safety be a major concern as Tier 4 machines are released (they are

over 4 times more complex than Tier 3), the safety of humans interacting

with autonomous machines will also be a monumental challenge without

significant upfront planning.

Efficient and Lasting Technology Transfer

While at Ford, designed and built driveable concept vehicles for the press

to drive and interact with, demonstrating numerous technologies, from human

factors to intelligent interaction to safety, many of which have been

incorporated into product. Worked with vehicle designers on every aspect

of the design, including the exterior, to rebalance the overall impression

after functional features were added. Just spent a year creating a

simulation of the financial markets, intelligently extracting information

from extensive real time data to anticipate crises and model safest

reactions, in order to avoid a market disaster. Specific expertise is

overcoming incompatibilities of multiple data sources by converting

behaviors into the frequency domain. Just as one example, at Ford, spent a

decade as a vibration simulator test subject for vibration expert William

Pielemeier, triggering a nonlinear model, due to a bimodal sensitivity

resonance.

Repeatedly achieved enthusiastic buy-in from video and in-person trainees

implementing these methodologies for systems/process/cost simplification,

preventative maintenance, safety, and warranty reduction. Numerous awards,

patents, trade secrets, and task force appointments, with extensive

experience coordinating diverse groups, including suppliers and customers,

to achieve cost effective, working systems that continue to perform and

comply, with minimal warranty impact, in an environment of continual

change. A three ring binder, summarizing on-machine installed,

demonstrated, and durability tested technologies, will accompany this

candidate to her interview. For instance, one example is a relationship, on-

machine, for strain gage indication of frame damage, and/or oil particle

indication of transmission damage = f (accelerometers and ECM parameters),

at as low as 100Hz.

Patents, Publications and References Available Upon Request

Contact this candidate