OVERVIEW

I design operational decision systems for maintenance, fleets, and physical assets

I am an industrial and systems engineer, professor, researcher, and founder. My work focuses on maintenance, fleet planning, reliability, physical-asset lifecycle decisions, and operational systems whose behavior depends on people, data, software, analytical models, and physical constraints.

Across industry and academia, I have mapped aircraft-maintenance systems, led CMMS and ERP implementations, developed large-scale optimization methods, created complex-system validation frameworks, and led cyber-physical product development.

The common thread is translating complicated operating reality into models, architectures, workflows, and functioning systems that support better decisions.

PROFESSIONAL PATH

From industrial systems to operational decision systems

My work began in aircraft maintenance and industrial information systems. In 2006, I mapped aircraft-maintenance processes across engineering, planning, stock control, and quality functions at Iran Air. I subsequently led approximately 10 CMMS implementations in manufacturing and petrochemical environments and helped architect enterprise systems for distributed construction operations.

Those projects taught me that software alone rarely solves an operational problem. Asset structures, data definitions, workflows, responsibilities, decision rights, and organizational behavior must be designed together.

I later pursued doctoral research in industrial and systems engineering, concentrating on optimization, reliability, maintenance, and decision-making under uncertainty. My research has included flight and maintenance planning, integrated production-maintenance scheduling, physical-asset replacement, and large-scale fleet-planning algorithms.

Today, I am a tenured Associate Professor of Industrial and Manufacturing Engineering at Cal Poly Pomona and founder of Optimal Flows. Across both roles, I work at the boundary between rigorous research and usable operational systems.

HOW I WORK

Begin with the operation, not the technology

I begin by understanding the decision environment: the physical process, people, constraints, variability, data, incentives, existing systems, and consequences of failure.

Only then do I determine what combination of optimization, reliability analysis, MBSE, software, AI, workflow design, or physical-system architecture is appropriate.

My work typically involves:

  • Defining the decision, purpose, and system boundary
  • Distinguishing physical and regulatory constraints from policies and historical workarounds
  • Translating operational knowledge into requirements, models, and workflows
  • Architecting the relationships among software, data, analytical methods, people, and physical assets
  • Testing assumptions, edge cases, interactions, and operational usability
  • Preserving human judgment and accountability where they remain necessary
  • Converting validated methods into implementations, pilots, or products

Analytical sophistication matters, but a technically impressive model is not useful if it represents the wrong system or cannot function inside the organization that must use it.

HOW I LEAD TECHNICAL WORK

I am most useful when capable people from different disciplines are working on an important problem but do not yet share a clear system definition or technical direction.

I clarify the purpose, expose consequential assumptions, make architecture and scope decisions, and align the participants around an executable path. I remain technically engaged through implementation, integration, testing, and iteration so that the original purpose is not lost as the system develops.

CURRENT WORK

Research

During my 2026–27 sabbatical, I am advancing collaborative research in integrated flight-maintenance planning with prognostics, physical-asset lifecycle optimization, and operational decision systems. This work includes collaboration with Politecnico di Milano and the German Aerospace Center (DLR).

Applied systems and commercialization

Through Optimal Flows, I work on translating operational problems and validated research methods into decision systems, pilots, and commercial products.

Platform development

Optimal Flows also develops structured platforms for educational and professional workflows.

ArcAuthor is an engineered AI-assisted teaching and learning platform through which I am consolidating my courses, hands-on activities, instructional workflows, and student learning experiences.

RecomAid is a working recommendation-letter platform being developed toward broader faculty and institutional adoption. Its long-term objective is to establish a more structured, evidence-based standard for producing recommendation letters while preserving the professor’s authorship and judgment.

Alongwise is an early-stage career-coaching and application-management platform currently undergoing user validation.

SELECTED EXPERIENCE

Aircraft Maintenance Systems Mapping

Mapped enterprise maintenance operations across engineering, planning, stock control, and quality functions at Iran Air.

Industrial CMMS Implementations

Led approximately 10 implementations involving asset hierarchies, legacy-data migration, preventive and predictive maintenance, work-order workflows, and performance reporting.

Enterprise Systems Architecture

Architected multi-module ERP platforms for construction operations, including maintenance, workflow, knowledge-management, and security functions.

Fleet and Maintenance Optimization

Developed optimization formulations and solution methods for coordinating operational demand, asset availability, maintenance requirements, and capacity.

Complex-System Validation

Designed a combinatorial validation framework for a rule-heavy national taxation module, replacing ad hoc testing with repeatable coverage of feasible input combinations and interactions.

Cyber-Physical Product Development

I develop electromechanical products through disciplined requirements definition, system architecture, specialist coordination, prototype integration, and validation.

Explore Detailed Case Studies

EDUCATION AND CREDENTIALS

Education

  • PH.D. Industrial & Systems Engineering
    University of Tennessee-Knoxville (2018)
  • M.S. Industrial Engineering
    University of Tehran (2013)
  • B.S. Industrial Engineering (Manufacturing Concentration)
    University of Tabriz (2007)

Quality & Reliability

Systems Engineering

  • Certificate in Model-Based Systems Engineering
    Caltech (2020)

Coaching & Leadership

  • Certified Practitioner of MBTI® Step I™ and Step II™ Instruments
    The Myers & Briggs Foundation (2023)

INDUSTRY AND RESEARCH COLLABORATION

I collaborate with asset-intensive organizations, research teams, and technical founders on operational decision systems, system architecture, applied research, and research commercialization.

The strongest fit is usually a situation in which:

  • Maintenance or fleet planning depends heavily on spreadsheets, manual coordination, or undocumented expertise
  • Reliability or prognostic information exists but is not connected to operational decisions
  • An optimization, analytics, or AI initiative has not become a usable workflow
  • A complex technical effort has stalled because its requirements, boundaries, or architecture remain unclear
  • A validated research method has the potential to become a practical system or commercial product
  • Software, analytical models, people, and physical operations must be integrated into one coherent system

Potential collaborations may involve operational decision-system assessment, model and workflow architecture, pilot design, system validation, technical realignment, or research-to-product translation.

If this describes a problem you are working on, I would be interested in learning about it.