In Optimization, LLM Translates. Humans Define.
If you give AI a well-written operations research problem, it will produce the mathematical formulation instantly, which is impressive. But who decided what the problem actually is?
Core Areas
Predictive Maintenance and PrognosticsDecision Systems and Optimization in OperationsReliability and Quality EngineeringResearch CommercializationEngineering Education
Reliability Eng. | Decision Systems
Javad Seif
Associate Professor of IME @ CPP | Product Architect @ Optimal Flows
Ph.D. Industrial & Systems Engineering
University of Tennessee (UTK)
Certified Reliability Engineer (CRE)
American Society for Quality (ASQ)
Certified Quality Engineer (CQE)
American Society for Quality (ASQ)
Model-Based Systems Engineering Certification
CalTech
MBTI® Step I™ and Step II™ Practitioner
The Myers & Briggs Foundation
Designing systems that make decisions hold in reality
Most systems fail because they assume a world that does not exist.
My focus is on modeling how operations actually behave (variability, constraints, and uncertainty) and build decision systems that perform under those conditions.
This work is applied in environments where planning, execution, quality, and reliability must align.
Selected Essays
Don’t Bend Reality to Fit the Model
Models are tools, not masters. If reality doesn’t fit your framework, refine the framework. Never simplify your understanding just because the diagram can’t handle it.
AI Rewards Thinkers, Widens the Gap for Followers
AI does not help everyone equally. It disproportionately amplifies people who already learn by pattern recognition, curiosity, and first principles.
Selected Projects
Governed Qualification Evidence Platform
Since 2025
RecomAid is a decision workflow platform that embeds AI within structured, auditable human review processes to ensure consistent and accountable outcomes. It’s used to streamline high-stakes evaluations like qualification verification and recommendation workflows.
Large-Scale Fleet Optimization Algorithms
Since 2015
I designed a mixed-integer optimization architecture for scheduling a fleet of about 1,500 assets, using decomposition strategies and large-scale computational experiments to obtain exact solutions in under seven minutes. The work enabled near real-time re-optimization aimed at reducing downtime and improving fleet availability in asset-intensive operations.