Konstantin Dolgan, Ph.D.

Konstantin Dolgan, Ph.D., is a product development engineer and quality systems architect who approaches quality management the way he approaches any hard engineering problem: as a system with inputs, constraints, failure modes, and evidence that it works.

His introduction to quality management was not a consulting engagement — it was a job. As an R&D mechanical and hydraulic engineer, he designed and optimized API 610 centrifugal pumps for oil and gas service, running computational fluid dynamics and finite element analysis on vibration, structural stress, and fatigue. That work happened inside a certified quality management system, which means he lived the parts of ISO 9001 that engineers actually feel: design inputs and outputs, design review and verification, controlled drawings and revisions, material traceability, nonconforming product, and the discipline of proving with records that the pump you shipped is the pump you designed.

He holds a Ph.D. in Materials and Infrastructure Systems Engineering from Louisiana Tech University, along with an MS in Technological Machines and Equipment and a BS in Mechanical Engineering. His doctoral research produced a new method for arresting fatigue cracks in metals through electrochemical crack infiltration, published in peer-reviewed journals. Research on failure mechanisms turned out to be unusually good preparation for quality management, because both disciplines ask the same question: where does this system break, how would we detect it early, and what evidence proves the fix worked.

Konstantin has led the development of more than 1,000 physical products across aerospace, defense, energy, industrial, and dual-use markets. He holds the Certified New Product Development Professional (NPDP) credential and is an inventor on 12 United States patents (7 granted, 5 pending). He is the author of two product development books and a co-author of a chapter in Nanomaterials and Nanoarchitectures (Springer).

He was named to Forbes The Next 1000 in 2021 and to the Silicon Bayou 100 from 2017 to 2019. He writes about the technical side of quality management: structuring documented information, connecting records to processes and risks, what electronic signature and retention requirements mean in practice, and where AI genuinely helps a quality team versus where it only creates review work.

• Quality data architecture and traceability
• New product development under ISO 9001 clause 8.3
• Design control and documented information
• Root cause analysis and risk-based thinking
• ISO 9001 for manufacturing and engineering
• AI applied to quality management
• ERP integration and records management