Engineer High School
Resume:
Anya Lynn Getman, PhD
Sandy, OR 97055
****.******@*****.***
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