Smart Fire Safety & Emergency Management
Developing autonomous systems for real-time fire hazard detection using YOLO-based computer vision models.
Researching "Smart Fire Evacuation Navigation Systems" that utilize Augmented Reality (AR) to provide dynamic, life-saving exit routes in complex urban structures.
Modeling human behavior and evacuation dynamics within high-density buildings during emergency events.
BIM & Digital Twin Integration
Advancing the integration of Building Information Modeling (BIM) with real-time sensor data to create functional Digital Twins for facility management.
Investigating BIM safety efficiency and the role of digital documentation in improving building sustainability and lifecycle traceability.
Automating the synchronization between 3D BIM models and on-site physical conditions for streamlined quality assurance.
Mixed Reality (MR) for Collaborative Engineering
Designing "AI-YOLO Mixed Reality Copilots" specifically for multi-user inspection environments, enabling real-time collaboration between remote experts and on-site engineers.
Developing "offline-first" MR architectures to ensure critical safety tools remain operational in environments with limited or no internet connectivity.
Exploring the intersection of VR, AR, and Audio to enhance immersive training simulations for high-risk construction tasks.
AI & Computer Vision in Construction
Implementing deep learning algorithms (such as YOLO) for the automated inspection of fire equipment and structural components.
Leveraging Python-based automation to reduce human error in compliance reporting and safety checklist management.
Researching the application of Information and Communication Technology (ICT) to modernize traditional construction industry workflows.
International Engineering Standards & XR Policy
Collaborating with international research circles to standardize the use of Extended Reality (XR) in global engineering safety protocols.
Developing WebXR and 360-degree virtual tours for institutional reporting and public safety education.
Studying the educational continuum and the digital transition of engineering curricula during global disruptions like COVID-19.
Machine Learning & Modeling
Use machine learning, surrogate models, and uncertainty-aware algorithms for prediction and classification, as shown in hybrid boosting and data-augmented frameworks for structural damage and failure mode classification.
Intelligent Sampling Methods
Apply active and adaptive sampling to cut computational costs, consistent with gradient-boosted metaheuristic approaches in optimization.
Project Scheduling & Resource Management
Emphasis on constrained and repetitive project scheduling, with methods for handling limited resources and complex timelines.
Risk & Stochastic Analysis
Incorporate correlated random variates, stochastic modeling, and risk assessment to evaluate uncertainties in financing, maintenance, and project planning.
Ph.D. in Civil and Construction Engineering, National Taiwan University of Science and Technology, Taipei, 2025-Present
M.Tech in Construction Technology and Management, Al-Falah University, New Delhi, 2021
B.S. in Civil Engineering, Kurukshetra University, Kurukshetra, 2019
Academics
National Taiwan University of Science and Technology
2025~ Teacher Assistant, Department of Civil and Construction Engineering
Industry
Victory XR
2024~2025 VR Tutor, Operations and Trainings
Umety VR
2023-2025 Senior Executive, Operations and Support
Veative Labs
2022-2023 Customer Support Executive, Implementation and Trainings
2026- NSTC for ICCCBE conference presentation in NTUH, Taipei City