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║ CONSTRUCTION INFORMATICS // BIM // GIS // AI // DIGITAL TWIN ║
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NAME :: Mohammad Zia Bakhteyari
ROLE :: Civil Engineer | Urban Planner | Software Engineer
FOCUS :: Construction Informatics & Digital Construction
RESEARCH :: AI + BIM + Computer Vision + Project Control
MISSION :: Bridge Physical Infrastructure with Intelligent Digital Systems
STATUS :: Prospective Doctoral Researcher
LOCATION :: Afghanistan
I am an interdisciplinary Civil Engineer, Urban Planner, and Full-Stack Software Engineer working at the intersection of the built environment and computational technology.
My academic and technical journey has evolved from understanding structures and infrastructure, to understanding cities and spatial systems, and finally to building software and AI systems capable of analysing and managing those environments.
CIVIL ENGINEERING
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URBAN PLANNING
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GIS / SPATIAL ANALYTICS
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SOFTWARE ENGINEERING
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AI / COMPUTER VISION
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BIM + DIGITAL CONSTRUCTION
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INTELLIGENT PROJECT CONTROL
My goal is to bridge the physical built environment with intelligent digital systems.
I am particularly interested in Construction Informatics and Digital Construction Management, with a focus on integrating engineering knowledge with:
- 🤖 Artificial Intelligence
- 🧠 Machine Learning
- 📷 Computer Vision
- 🏢 Building Information Modeling
- 📊 Project Data Analytics
- 🗺️ GIS & Spatial Intelligence
- 📅 Construction Scheduling
- 💰 Quantity & Cost Management
- 🚧 Site Monitoring
- 🔮 Predictive Project Control
- 👨💼 Human-AI Decision Support
The long-term objective is to develop systems that transform fragmented construction information into actionable project intelligence.
┌────────────────────────────────────────────────────┐
│ AI-ENABLED CONSTRUCTION PROJECT CONTROL │
└────────────────────────────────────────────────────┘
│
┌────────────┼────────────┐
▼ ▼ ▼
BIM SITE PROJECT
MODELS OBSERVATIONS DATA
│ │ │
└────────────┼────────────┘
▼
DATA INTEGRATION
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AI / MACHINE LEARNING
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PREDICTIVE ANALYTICS
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DECISION SUPPORT SYSTEM
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PROJECT CONTROL ACTION
- 🏗️ Construction Informatics
- 🤖 AI for Construction Management
- 🏢 BIM + Artificial Intelligence
- 📊 Data-Driven Project Management
- 📷 Computer Vision for Construction
- 🚧 AI-Based Site Safety
- 📈 Construction Progress Monitoring
- 📅 Schedule Risk Prediction
- 💰 Automated Quantity & Cost Estimation
- 🔗 BIM–Schedule–Cost Integration
- 🌐 Digital Twins
- 🧠 Human-AI Decision Support
- 🗺️ GIS & Location Intelligence
- 📡 IoT & Real-Time Monitoring
- 🏙️ Smart Cities
- ♻️ Sustainable & Resilient Infrastructure
STRUCTURAL ENGINEERING
RCC & STEEL STRUCTURES
CONSTRUCTION MANAGEMENT
TRANSPORTATION ENGINEERING
GEOTECHNICAL ENGINEERING
MATERIALS ENGINEERING
WATER RESOURCES
WASTEWATER MANAGEMENT
SOLID WASTE MANAGEMENT
QUANTITY ESTIMATION & COST ANALYSIS
URBAN & REGIONAL PLANNING
GIS & SPATIAL ANALYSIS
QGIS
REMOTE SENSING
LAND-USE PLANNING
INFRASTRUCTURE PLANNING
TRANSPORTATION PLANNING
DEVELOPMENT PLANNING
SPATIAL DATA MANAGEMENT
LOCATION INTELLIGENCE
FULL-STACK DEVELOPMENT
REST APIs
DATABASE ARCHITECTURE
RESPONSIVE WEB APPLICATIONS
SOFTWARE ARCHITECTURE
TESTING / TDD
GIT / GITHUB
PROJECT MANAGEMENT
COMPUTER VISION
MACHINE LEARNING
CONSTRUCTION MONITORING
SAFETY DETECTION
CRACK DETECTION
BIM DATA EXTRACTION
5D BIM
PROJECT DATA ANALYTICS
AI-ASSISTED INSPECTION
DIGITAL CONSTRUCTION WORKFLOWS
A research-oriented prototype for classifying construction stages from site imagery using zero-shot computer vision.
SITE IMAGE
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CLIP COMPUTER VISION
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CONSTRUCTION STAGE
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PROGRESS INDICATOR
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PROJECT-CONTROL INTERPRETATION
- 🕳️ Foundation / Excavation
- 🏗️ Structural Frame
- 🧱 Envelope / Walls
- 🔧 MEP / Interior
- 🏁 Finishing
Python PyTorch Hugging Face CLIP Streamlit Docker
Research direction: Integrating computer-vision observations with BIM models, construction schedules, and project-control data for intelligent progress monitoring.
A Streamlit-based prototype for extracting building elements from IFC/BIM models and generating quantity and cost information.
IFC / BIM MODEL
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IFCOPENShell
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ELEMENT EXTRACTION
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├── Walls
├── Slabs
├── Columns
├── Beams
├── Doors
├── Windows
├── Roofs
├── Stairs
└── Footings
│
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QUANTITY ENGINE
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UNIT-RATE COST ENGINE
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5D BIM COST DASHBOARD
Python IFC IfcOpenShell Pandas Streamlit Plotly
Future direction: BIM + WBS + schedule + planned-vs-actual cost integration for data-driven construction project control.
An AI-assisted computer-vision prototype designed to identify construction-site safety conditions from imagery.
- ⛑️ PPE / Helmet
- 🚧 Edges
- 🕳️ Excavation / Trenches
- 💧 Wet Floors
- 🔌 Electrical Wires
- 🧰 Misplaced Tools
- 👷 Worker–Environment Hazards
- 🏗️ Construction-Site Conditions
Technology
Python TensorFlow Keras OpenCV Computer Vision
🔗 Repository: https://github.com/Zia123456/site_safety_guard_ai
A computer-vision research project exploring automated detection of cracks in concrete surfaces.
Technology
Python TensorFlow/Keras OpenCV NumPy Matplotlib
CONCRETE IMAGE
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IMAGE PREPROCESSING
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CNN CLASSIFIER
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CRACK / NO CRACK
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STRUCTURAL INSPECTION
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MAINTENANCE DECISION
Structural design and modelling project involving:
- Structural modelling
- RCC member design
- Slab design
- Foundation design
- ETABS analysis
- SAFE analysis
- AutoCAD structural drawings
🔗 Repository: https://github.com/Zia123456/G-4-Story-Building-Etabs-Safe-AutoCad-
A full-stack transportation reservation application developed using modern web technologies.
Technology
React Redux Ruby on Rails JWT REST API
My profile is intentionally interdisciplinary.
┌─────────────────┐
│ CIVIL ENGINEERING│
└────────┬────────┘
│
▼
┌─────────────────┐
│ CONSTRUCTION │
└────────┬────────┘
│
┌────────────────┼────────────────┐
▼ ▼ ▼
┌─────────┐ ┌─────────┐ ┌─────────┐
│ BIM │ │ GIS │ │ DATA │
└────┬────┘ └────┬────┘ └────┬────┘
│ │ │
└────────────────┼────────────────┘
▼
┌─────────────────┐
│ AI / ML / CV │
└────────┬────────┘
│
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┌────────────────────────┐
│ DIGITAL CONSTRUCTION │
└────────────┬───────────┘
│
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┌────────────────────────┐
│ INTELLIGENT PROJECT │
│ CONTROL & DECISION │
│ SUPPORT SYSTEMS │
└────────────────────────┘
PHYSICAL WORLD
│
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┌───────────────────────┐
│ Construction Sites │
│ Buildings │
│ Infrastructure │
│ Cities │
└───────────┬───────────┘
│
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DIGITAL DATA
│
┌──────┼──────┐
▼ ▼ ▼
BIM GIS IMAGES
│ │ │
└──────┼──────┘
▼
DATA FUSION
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AI / ANALYTICS
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PREDICTIONS
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DECISION SUPPORT
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PROJECT INTERVENTION
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BETTER CONSTRUCTION
GCPIA / Veer Narmad South Gujarat University — Surat, India
2022 – 2024
Focus areas:
Urban Planning Infrastructure Transportation GIS Environmental Planning Urban Development
SVNIT — Surat, India
2018 – 2022
Focus areas:
Structural Engineering Geotechnical Engineering Transportation Water Resources Construction Management Environmental Engineering
Microverse
2022 – 2023
1,300+ hours of intensive remote software-development training.
AI-ENABLED CONSTRUCTION
PROJECT CONTROL
│
┌───────────────┼───────────────┐
▼ ▼ ▼
BIM AI/CV GIS
│ │ │
└───────────────┼───────────────┘
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PROJECT INFORMATION
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PREDICTIVE ANALYTICS
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RISK DETECTION
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DECISION SUPPORT
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HUMAN OVERSIGHT
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INTELLIGENT CONSTRUCTION
My long-term research goal is to investigate how BIM, project schedules, site observations, project documents, AI, and computational analytics can be integrated into systems that support construction managers in making better and earlier decisions.
I believe the future of construction is not simply about replacing engineers with AI.
It is about creating systems where:
ENGINEER
+
DATA
+
BIM
+
AI
+
HUMAN JUDGMENT
=
BETTER PROJECT DECISIONS
