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This page provides a high-level overview of my key projects in digital twinning, fibre-optic sensing, structural analysis, and intelligent structural design software.
I am a researcher at the Resilient and Intelligent Structures Technology (RESiST) Lab, where I focus on the intersection of structural engineering and advanced technology. My work leverages machine learning and computer vision to develop smarter sensing and health monitoring techniques. I am dedicated to improving the resiliency and sustainability of our global infrastructure under both everyday operations and extreme loading conditions.You are welcome to check our research projects.
In UniSQ, I served as an Adjunct Associate Research Fellow within the Monitoring and Infrastructure Technologies (MIT) Group. During this tenure, I contributed to high-impact research initiatives, including securing a Research Capacity Building Grant and supervising award-winning student projects on AI-driven structural health monitoring. My work also focused on educational innovation, notably contributing to the development of the "Next Generation Living Laboratory" to enhance engineering engagement.
Beyond research and supervision, I shared my findings with the global academic community by presenting at prestigious European, Australian, and Asian conferences. I was a regular contributor to the Australian Network of Structural Health Monitoring (ANSHM) workshops, fostering collaboration between industry and academia.
At Kharazmi University, I served as a mentor within the Smart Structures research group, guiding graduate projects in Structural Health Monitoring (SHM) through the application of Remote Sensing and Computer Vision. My academic and professional work also focuses on behavior of high-performance Lateral Resisting Systems, including Steel Plate Shear Walls and Rocking Walls.
Concrete dams deteriorate during their lifespan due to continuous harsh environmental loads such as freeze-thaw, chemical attack, overload and debris impact, and natural weathering.
This project aims at developing digital twin and monitoring technologies for concrete dams using computer vision, unmanned aerial vehicles, deep learning, and fiber optic sensing.
More details are in: KU.SHM
DATA ACQUISITION SYSTEM
DATA ACQUISITION SYSTEM
This academic project involves a scaled steel frame instrumented with four ADXL345 triaxial accelerometers connected to a data acquisition unit built around an Arduino Uno microcontroller. In addition, a C#-based graphical user interface (GUI) was developed to transfer the recorded signals to a PC and to visualize the structural response in real time.
Parno is an intelligent companion software for ETABS and SAFE that automates the full workflow from architectural plans to structural modeling, seismic and code-based checks, design, and drawing production.
It conducts structural controls based on ASCE 7 and automatically generates concrete and steel shop drawings in accordance with ACI 318 and AISC 360. With a modern 3D interface, direct ETABS API integration (ParnoPlus), automatic calculation report generation, and optimized detailing with bar schedules, Parno serves as a complete professional platform for structural design and documentation.
More details are in: Parnosoft
SIDA Concrete is a model-based 3D drafting and detailing software for reinforced concrete structures, developed by Sida Structures for structural engineers. It generates execution-level CAD drawings and bar bending schedules directly from a structural model, fully aligned with relevant design codes (ACI and associated national standards). The software supports interactive 3D visualization of all structural components, flexible editing of grids, materials, and rebar sizes, and user control over units, layers, and display settings.
Engineers can perform code-based detailing for beams and columns (including splices, critical length zones, ties, and ductility requirements for SMRF/IMRF frames), manage reinforcement typification and optimization, and automatically produce detailed rebar schedules, cut-off tables, and wastage reports. SIDA Concrete outputs DWG/DXF drawings (including 3D views in AutoCAD), organized by element type or floor and scaled/sheeted according to user preferences, providing an end-to-end environment for RC detailing, verification, and documentation.
More details are in: sidastructures
This software is an integrated, intelligent platform for the design, checking, and detailing of steel structures and connections in full compliance with AISC standards. It provides advanced capabilities for bolted and welded beam-to-column connections, spliced beams, base plates, gusset plates, and seismic-resistant moment frames, with fully automated force extraction from ETABS and SAP2000. The system supports advanced bearing, tension, interaction, and Whitmore section checks, and generates complete structural calculation books for all designed components.
More details are in: Rayansazeh
Advanced Concrete Crack Monitoring
Advanced Concrete Crack Monitoring
Utilizing high-precision Fiber Optic Sensors (FOS), we measure crack width and propagation under various structural conditions on concrete surfaces to evaluate structural health and reinforcement effectiveness.
More details are in: KU.SHM
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