About
PhD Researcher · AI Engineer · Construction Tech Specialist
National Institute of Technology Karnataka, Surathkal
I am a researcher and AI engineer developing intelligent systems for the construction industry. My work bridges civil engineering and computer science, focusing on semantic frameworks, knowledge graphs, and natural language processing to transform how construction projects manage and utilize information.
Research Interests
Research Overview
My doctoral research addresses the critical challenge of knowledge management in construction projects. The industry generates vast amounts of heterogeneous data—from BIM models and schedules to contracts and reports—yet this information remains largely disconnected and underutilized.
I develop semantic frameworks and AI systems that integrate construction project knowledge, making it queryable, analyzable, and actionable. My primary contribution is the IproK (Integrated Project Knowledge) ontology, a novel semantic model that unifies schedule, cost, and resource data into a coherent knowledge graph. This work has been published in the International Journal of Construction Management.
Beyond ontology development, I build practical applications: natural language interfaces for knowledge graph querying, multimodal RAG systems for document intelligence, and Graph Neural Network models for predictive project analytics.
Research Impact
Selected Publications
The IproK ontology: a unified approach to managing construction project information
International Journal of Construction Management, 2025, 1–30
An Ontology-Driven Bi-Directional Workflow for Integrating Project Management Data into The IFC Standard.
Journal of Information Technology in Construction, 2025
Accepted for publication
Ontology-Driven Project Management: A Framework for Structured Data and Automation
Proceedings of Digital Frontiers in Buildings and Infrastructure International Conference Series, 2025, 77-88
Enhancing Knowledge Management in the Construction Industry: Exploring the Impact of Semantic Web Technologies
Advances in Construction Management. ICCRIP 2023. Lecture Notes in Civil Engineering, vol 601. Springer, Singapore
Feasibility study and implementation of BIM in small scale projects
IOP Conference Series: Materials Science and Engineering, 2020, 912(6), 062049
Complete publication list available on Google Scholar
Key Research Projects
IproK: Integrated Project Knowledge Framework
Novel ontology-based framework for construction project knowledge management. Includes semantic data model (w3id.org/iprok/), web application for project planning and visualization, bi-directional BIM integration workflow, and GNN-based predictive analytics for risk assessment. Published in international journal.
ChatGraphDB: Natural Language Knowledge Graph Interface
LLM-powered conversational interface for querying construction project knowledge graphs. Achieves 82.5% accuracy in natural language to SPARQL translation. Transforms IFC models into queryable ontologies, enabling intuitive data access for non-technical stakeholders.
Multimodal Agentic RAG for Construction Contracts
Advanced retrieval-augmented generation system for analyzing complex construction documents. Handles multimodal content (text, tables, diagrams) through specialized pipeline combining Docling, ontology integration, vector databases, and agentic workflows for accurate context-aware information extraction.
Predictive Analytics for Project Control using Graph Neural Networks
Created a predictive model to forecast task-level delay and cost-overrun risks in construction projects. Engineered temporal, resource, and cost features from the IproK knowledge graph and used this data to train Graph Neural Network (GNN) models.
Education & Professional Experience
Ph.D. in Civil Engineering (Construction Informatics & AI)
CPI: 8.75 | Specialization: Knowledge Management, Applied AI, Semantic Web Technologies
Assistant Professor of Civil Engineering
Taught undergraduate courses, integrated computational tools into curriculum, mentored 15+ student research projects resulting in peer-reviewed publications.
M.Tech in Construction Technology Management
CPI: 7.19 | Focus: BIM Technology, Project Management Systems
B.Tech in Civil Engineering
Percentage: 74.10%
Scholarships
PhD Research Scholarship
M.Tech Postgraduate Scholarship
Professional Certifications
IBM RAG and Agentic AI: Build Next-Gen AI Systems Professional Certificate
Building AI Agents and Agentic Workflows Specialization Certificate
BIM Fundamentals for Engineers
Foundations of Project Management
Technical Competencies
- Python, JavaScript
- TensorFlow, PyTorch, Scikit-learn
- LangChain, LangGraph, RAG Systems
- RDF, OWL, SPARQL, Turtle
- Protégé, Owlready2, RDFlib
- Apache Jena Fuseki, ChromaDB
- Flask, FastAPI, Streamlit
- Revit, NavisWorks, IFC Standards
- Graph Neural Networks (PyG, DGL)
- Natural Language Processing