Welcome to the American Society for Quality in New Hampshire AND MAINE
Section Mission Statement
To be recognized as the primary source for information and education in the Quality Sciences in the States of New Hampshire and Maine.
Job Postings
For these job posting see the Career Services section of the web site
Quality Engineer at Molded Plastics in Wolfeboro, NH
Director of Quality and Compliance at Accutronics in Chelmsford, MA
On-line Meeting with the Vermont Section October 1, 2026
Quality Confessions - Inside the licensed cannabis industry
Masimo Semiconductor specializes in wafer epitaxy, foundry services, and device fabrication for the healthcare, industrial, energy, datacom/telecom, security, and consumer products markets.
Thursday October 1, 2026 hosted on-line by Vermont ASQ 12 noon to 1:30 pm
Francis Boero will introduce the audience to the evolving licensed cannabis industry from the point of view of an organizational and quality professional.
Attendees will receive insight into basic cannabinoids, the current regulatory environment, and the overall process of converting cannabis into adult use products. Drawing on real-world experience, Francis will demonstrate how quality management, continuous improvement, and data-driven decision-making can be applied throughout the cannabis value chain.
The presentation will highlight several quality journeys from the author’s experience.
• Covid Kaizen – When cannabis is an essential industry
• The power of data – Safer vape pens
• Gemba walks in the processing rooms
• Lean VSM for award winning gummies and syrups
• Shewhart charts for client consistency and loyalty
Register through the Vermont section at
http://asq.webex.com/weblink/register/r995671866928c0f4a1b597c0c08c1bd8
In-Person Membership Meeting in New Hampshire Oct 13, 2026
Machine learning helps distinguish malicious sessions from legitimate traffic
Tuesday Oct 13, 2026 from 5:30 pm to 8:00pm
Locked Shields is the world’s largest live‑fire cyber defense exercise, generating millions of network events in hours. This talk explores how machine learning helps Blue Teams distinguish malicious sessions from legitimate traffic under intense time pressure. It introduces the Suspicious Event Engine (SEE), a model‑driven system that learns normal behavior and flags anomalies fast enough to matter.
Register by going to:
Your Section's Highlights
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Section Leadership Team is searching for volunteers. Please read the Nominations Notice.
- See the Career Services if you are considering a career move.
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