(05)

Academic education

Engineering rigor, with a management lens.

A foundation in civil engineering and a specialized focus on construction management.

01

B.Sc. Civil Engineering

Sharif University of Technology

02

M.Sc. Construction Management

Amirkabir University of Technology

Selected academic work

Research and method, shown concisely.

01

Construction Methods coursework · 2026

Deep Excavation Execution Method

A staged execution study for a deep urban excavation, connecting geotechnical constraints, internal bracing, monitoring, drainage and controlled excavation sequences.

  • Deep excavation
  • Internal bracing
  • Execution sequencing
  • Site monitoring
View selected pages
Sanitized plan diagram showing the excavation's internal bracing arrangement
Execution and bracing diagram · Academic source
Sanitized field photograph of multi-level internal bracing in a deep excavation
Representative field condition · Academic source
02

HSE coursework · 2026

Construction Safety Risk Assessment Using FMEA and Poka-Yoke

A structured safety assessment for high-rise construction activities using FMEA to prioritize risks and Poka-Yoke principles to shape practical error-prevention controls.

  • FMEA
  • Poka-Yoke
  • Risk priority number
  • Construction HSE
View selected pages
01

Define activities from the WBS

02

Identify hazards and failure modes

03

Score severity, occurrence and detection

04

Prioritize through RPN

05

Develop Poka-Yoke controls

Sanitized FMEA table for construction safety risks
Selected FMEA risk-analysis matrix · Academic source
03

Research paper · 2026

Evaluation of Self-Healing Behavior in Cold Asphalt Mixtures Using an Artificial Neural Network Approach

With Ayda Dastgiri and Nima Saadat

A literature-derived, data-driven study using a multilayer perceptron to examine how mixture and healing descriptors relate to the self-healing index of cold asphalt mixtures.

  • Cold asphalt
  • Self-healing index
  • Artificial neural network
  • Cross-validation
View selected pages
Research workflow for training and evaluating the asphalt self-healing neural network
Research and model workflow · Academic source
Predicted versus observed self-healing index results from the neural network model
Selected model-results visualization · Academic source

Continuous development

Learning is part of professional practice.

Academic study provides the foundation; project experience develops judgment.

Let’s collaborate

Complex projects need a clear point of view.

For project controls, construction management and thoughtful collaboration.

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