Renewable Energy ROI Analysis Across U.S. States
Large-scale data integration pipeline evaluating economic ROI of state-level renewable energy transitions, combining federal datasets with custom feasibility...
Large-scale data integration pipeline evaluating economic ROI of state-level renewable energy transitions, combining federal datasets with custom feasibility...
Large-scale data integration pipeline evaluating economic ROI of state-level renewable energy transitions, combining federal datasets with custom feasibility...
Large-scale data integration pipeline evaluating economic ROI of state-level renewable energy transitions, combining federal datasets with custom feasibility...
Large-scale data integration pipeline evaluating economic ROI of state-level renewable energy transitions, combining federal datasets with custom feasibility...
Large-scale data integration pipeline evaluating economic ROI of state-level renewable energy transitions, combining federal datasets with custom feasibility...
Fully automated communications pipeline with LLM-based news curation, weather forecasting, and event aggregation, designed for production reliability and ope...
Fully automated communications pipeline with LLM-based news curation, weather forecasting, and event aggregation, designed for production reliability and ope...
Fully automated communications pipeline with LLM-based news curation, weather forecasting, and event aggregation, designed for production reliability and ope...
Fully automated communications pipeline with LLM-based news curation, weather forecasting, and event aggregation, designed for production reliability and ope...
Fully automated communications pipeline with LLM-based news curation, weather forecasting, and event aggregation, designed for production reliability and ope...
PyTorch-based CNN pipeline for classifying gas structures around binary stars using simulated JWST observations, achieving 92% accuracy with physics-informed...
PyTorch-based CNN pipeline for classifying gas structures around binary stars using simulated JWST observations, achieving 92% accuracy with physics-informed...
PyTorch-based CNN pipeline for classifying gas structures around binary stars using simulated JWST observations, achieving 92% accuracy with physics-informed...
PyTorch-based CNN pipeline for classifying gas structures around binary stars using simulated JWST observations, achieving 92% accuracy with physics-informed...
PyTorch-based CNN pipeline for classifying gas structures around binary stars using simulated JWST observations, achieving 92% accuracy with physics-informed...
PyTorch-based CNN pipeline for classifying gas structures around binary stars using simulated JWST observations, achieving 92% accuracy with physics-informed...
Institutional research and infrastructure planning for Open Educational Resource adoption, translating equity goals into actionable systems recommendations.
Institutional research and infrastructure planning for Open Educational Resource adoption, translating equity goals into actionable systems recommendations.
Institutional research and infrastructure planning for Open Educational Resource adoption, translating equity goals into actionable systems recommendations.
Institutional research and infrastructure planning for Open Educational Resource adoption, translating equity goals into actionable systems recommendations.