Hoboken, NJ 07030
United States
Stevens Institute of Technology
design code interpretation, Human-computer interaction, minimize hallucination, Retrieval-Augmented Generation (RAG), structural design
large language model (LLM), domain-specific model, code interpretation, structural design, retrieval-augmented generation
AI-assisted design of materials; architectured polymer-concrete composite (APCC); high strength and high toughness material; Latin hypercube sampling; Lion Pride Optimization; sequential surrogate modeling
building code compliance, concrete structures, design automation, Large language model (LLM), multi-agent framework, structural design
artificial intelligence (AI); information extraction; computer vision; machine learning; property prediction; ultra-high-performance concrete (UHPC)
automatic sensor data interpretation, Bayesian optimization, distributed fiber optic sensor, Machine learning, pipeline, Structural health monitoring
Physics-Informed Neural Networks, Support reaction force, Height-adjustable bearing, Controlling bridge support forces, Marine Predators Algorithm
arch bridge; CRTS Type I double-block ballastless track; finite element analysis; high-speed railway; track geometry; thermal deformation
physicochemical variation, solid waste valorization, ultra-high-performance concrete (UHPC), human-computer interaction, interpretable machine learning, knowledge based system
distributed fiber optic sensors (DFOS), corrosion, crack, Machine Learning, interacting anomalies, Structural health Monitoring
Artificial Intelligence, automated structural design, finite element model, Knowledge Graph, Large language models, multi-agent system
explainable artificial intelligence (XAI), interpretable machine leaning, knowledge graph, physicochemical information, solid wastes, ultra-high-performance concrete (UHPC)
Artificial language, Reaction discovery, deep learning, neural search
damage detection, damage prediction, Digital twin, sensor configuration optimization, Structural Health Monitoring
explainable machine learning, interpretable AI, knowledge graph, multi-objective optimization, physicochemical information, ultra-high performance geopolymer (UHPG)
crack monitoring, dense microcrack, generative artificial intelligence (AI), generative adversarial network (HGAN), strain-hardening cementitious composites, vision transformer
crack assessment, distributed fiber optic sensors, interface mechanics, metaheuristic inverse analysis, optical frequency domain reflectometry (OFDR), Structural Health Monitoring
automatic structural design, data-physics hybrid framework, finite element analysis, genetic optimization, human-computer interactions, large language model
crack monitoring, distributed fiber optic sensor, far-field monitoring, acoustic signal, early warning, multi-physics modeling
data-driven design, knowledge-data fusion, knowledge discovery, large language model, physicochemical mechanism
alternative binder, data-driven design, knowledge-guided data-driven model, Machine learning, Sustainable construction, Waste Valorization
automatic structural design, data-physics hybrid framework, finite element analysis, genetic optimization, human-computer interactions, Large language model
AprilTag marker, deep reinforcement learning, Modal analysis, path planning, pose adjustment, Structural monitoring
chloride migration coefficient, expression programming technique, Machine Learning, sustainable concrete, Supplementary cementitious material
environmental monitoring, ensemble learning, Hazardous Materials, image analysis, object detection
alternative binder, interpretable machine learning, knowledge graph construction, knowledge-guided data-driven design, large language model, waste valorization
Computer vision, Crack segmentation, crack pattern transfer, lightweight deep learning model, Stable Diffusion Inpainting, Transfer Learning
adaptive finite element analysis, Deep learning, perspective transformation, pipeline corrosion, predictive maintenance
Arch bridges, Heat transfer, Physics-informed Neural networks, Spatiotemporal temperature field, Sparse meteorological data
damage evolution, fiber-reinforced concrete, fractal dimension, fractal theory, recycled concrete powder, X-ray computed tomography (CT)
crack monitoring, distributed acoustic sensing, optimal configuration, reconfigurable sensing, Structural health monitoring
Agentic artificial intelligence (AI), material discovery, chloride diffusion, knowledge graph, large language model, physics-based model
Crack segmentation, Crack pattern transfer, Generative Artificial Intelligence, Stable Diffusion, Transfer learning
