Quality 4.0: Performance Excellence for Digital Transformation
En route to Tahiti to collaborate with Blue Frontiers Seasteading
My CV (26 pp)
My Resume (8 pp)
QUALITY & INNOVATION BLOG
|Nicole is an Associate Professor in the Department of Integrated Science and Technology (ISAT) at James Madison University (JMU) in Harrisonburg, Virginia. She was formerly an Assistant Director (VP) of the National Radio Astronomy Observatory, Head of Software Development at the Green Bank Telescope, and a contractor for Nortel Networks, Clarify (CRM), the National Ecological Obervatory Network (NEON), and the National Oceanic and Atmospheric Administration (NOAA). Nicole is a Fellow of the American Society for Quality (ASQ) and Editor of Software Quality Professional journal. She specializes in Quality 4.0: data science and applied machine learning for quality and process improvement, especially as it relates to Industry 4.0.
Her research finds ways to increase our ability to satisfy stated and implied needs now (quality) and in the future (innovation) in connected environments where people, machines, and processes have autonomous cognitive capabilities enhanced or mediated by technology (AI+Intelligent Agents+IoT+VR+AR+DR). She is particularly interested in how autistic cognitive differences can inform design and catalyze innovation. This requires a blend of disciplinary perspectives that include quality management, smart manufacturing, neuroergonomics, software engineering, and data science.
She is ASQ Certified Six Sigma Black Belt (CSSBB) #11952 and ASQ Certified Manager of Quality and Organizational Excellence (CMQ/OE) #9583. Since 2009, she has introduced nearly 2500 students to quality and process improvement using basic quality tools and Six Sigma problem solving using the R Statistical Software.
Courses (click through for Creative Commons course materials):
JULY 2017, 538 pp
|JULY 2017, 240 pp
Print Version - Amazon ($25.99)(Free PDF eBook w/print copy)
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STATISTICS (THE EASIER WAY) WITH R: 2nd EDITION
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END-TO-END SOLVED PROBLEMS WITH R: A CATALOG OF 26 EXAMPLES USING STATISTICAL INFERENCE
CUrRENT PROJECTS (2017-2019)
What I'm working on right now:
Books coming out in 2018: The Executive's Guide to Quality 4.0, R for Quality, and Machine Learning (The Easier Way) With R.
Virginia Cyber Range - An ambitious undertaking seeks to provide common curriculum for high school, community college, undergraduate, and graduate learners in information security and cybersecurity management. I've been working with them to provide modules on Industrial Control Systems (ICS), Smart Cities, Security and Risk Management, Ergonomics for Cybersecurity, Statistics and Data Science for Cybersecurity, and Machine Learning for Cybersecurity.
Production Systems (PS) Sector - We're developing a new exploratory and interdisciplinary curriculum in ISAT to help students navigate modern production and operations environments that are becoming increasingly driven by Big Data, networked supply chains, and intelligent systems in the Internet of (macro, bio, and nano) Things (IoT). The program has sustainability, social responsibility, and quality management at its core, and addresses topics from all four Society of Manufacturing Engineers (SME) pillars of manufacturing engineering: 1) materials and manufacturing processes, 2) product and assembly engineering, 3) manufacturing systems and operations, and 4) quality and manufacturing competitiveness. All students will be prepared to sit for three certification exams: the American Society for Quality (ASQ) Certified Quality Improvement Associate (CQIA), the ASQ Certified Quality Process Analyst (CQPA), and the Association of Technology Management and Applied Engineering (ATMAE) Lean Six Sigma (LSS) Belts. ATMAE awarded one Green Belt and six Yellow Belts to our first cohort (2016-2017).
Design for Neurodiversity (DfN*) - Autistic people experience the world in a fundamentally different way than neurotypical people, and in many ways, we think (and act) more like computers than humans. Whereas affective computing seeks to detect and identify affective-cognitive states and help computers become more emotionally intelligent, Design for Neurodiversity explores how designers, product engineers, and quality managers can create products, processes, and environments that provide robust sensory and cognitive support for autistic people. Because the neurodiversity movement considers autism to be a normal variation of human cognitive processes, this work can help designers and developers create physical and cyber-physical systems that more universally satisfy stakeholders' stated and implied (current and future) needs. (Here's a well curated list of all the autism and autism research conferences.)