Research projects
- 7
- Active projects
- 2
- Sponsored projects
- 8
- Published articles
Showing 7 of 7 projects
- NeRF-UAVeL
NeRF-UAVeL: Unified Attention-driven Volumetric Learning for Enhanced NeRF-based 3D Object Detection
Unified attention-driven volumetric learning framework for state-of-the-art NeRF-based 3D object detection
AI-Powered System Engineering3D Computer VisionKey results3D-FRONT dataset
- R25
- 98.5%
- R50
- 77.2%
- AP25
- 87.3%
- AP50
- 66.6%
Novel contributions
- Multi-dimensional volumetric attention pooling (MVAP)
- Tri-scale asymmetric convolutional aggregation (TACA)
- Dual-domain attention fusion (DDAF)
- PITCH
PITCH: Physics-Informed Transformer for Hysteretic Response Prediction
A physics-informed transformer with token classification for hysteretic response prediction and uncertainty quantification of RC columns.
AI-Powered System EngineeringKey results
- NRMSE
- 0.055
- Test median (n=38)
- Correlation
- 0.986
- Test set
- Peak error
- 6.7%
- Shear force
- Parameters
- 247K
- Compact model
Novel contributions
- Soft-decode bridge
- FiLM conditioning
- Native uncertainty quantification
- SA-EgoGS
SA-EgoGS: Sharpness-Aware Dynamic Gaussian Splatting for High-Fidelity Egocentric Interaction
Sharpness-aware dynamic 3D Gaussian Splatting for robust egocentric scene reconstruction with anti-aliasing and uncertainty-aware densification.
AI-Powered System Engineering3D Computer VisionIEEE Computational Intelligence SocietyAt a glance
- Opacity
- SAOC
- Scale-aware opacity capping
- Densification
- SHAD
- Sharpness-aware densification
- Prefiltering
- MSP
- Mip-style anti-aliasing
Novel contributions
- Sharpness-aware densification (SHAD)
- Scale-aware opacity capping (SAOC)
- Mip-style prefiltering (MSP)
- ConceptCrack
ConceptCrack: Autonomous Crack Intelligence for Post-Disaster Structural Assessment
Autonomous AI pipeline fusing YOLO26, SAM 3, and LLM for real-time crack detection and structural risk reporting.
AI-Powered System EngineeringAt a glance
- Crack types
- 6-Class
- Hairline, flexural, shear, diagonal, wide, map cracking
- Segmentation
- SAM 3
- Sub-mm pixel-precise masks
- Reasoning
- LLM
- Risk scoring & remediation
- Standard
- ACI 224R
- Crack width compliance
Novel contributions
- Staged AI fusion
- Auto-classification
- LLM structural reasoning
- VulnCAST
VulnCAST: Vulnerability & Capacity Assessment using Smart Transformers
AI-powered seismic vulnerability and capacity assessment framework for reinforced concrete structures.
Multi-Hazard ResilienceAt a glance
- Application
- Seismic
- Multi-hazard assessment
- Scale
- Portfolio
- Regional risk analysis
- Method
- Transformer
- Attention-based models
- Output
- Fragility
- Damage probability curves
Novel contributions
- Transformer for fragility
- Multi-scale assessment
- Interpretable risk models
- AI-StructVision
AI-StructVision: Teaching AI to Recognize Dangerous Structural Damage
Can AI learn what ‘dangerous damage’ looks like in critical infrastructure?
AI-Powered System EngineeringKSU (Internal)At a glance
- Students
- 5
- Bhatnagar, Boynton, Chet, Henock, Ruiz
- Focus
- Safety
- Damage severity AI
- Method
- CV
- Computer vision
- Output
- Model
- Severity classifier
Novel contributions
- Severity-aware classification
- Engineer-guided AI training
- Ethical AI in safety-critical systems
- UHPC-AI
AI-Powered Comprehensive Framework for UHPC: From Material Optimization to Seismic Resilience of Bridges
A multi-scale AI framework spanning UHPC mix optimization, constitutive modeling, performance-based seismic design, and bridge resilience assessment.
AI-Powered System EngineeringAdvanced MaterialsAt a glance
- Publications
- 5+
- Top-tier journals
- Objectives
- 19
- Multi-objective optimization
- Milestone
- First
- UHPC drift limit states
- Impact
- #1
- Most popular in journal
Novel contributions
- 19-objective UHPC optimization
- Generative AI for constitutive modeling
- First UHPC drift limit states
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