# Saman Marandi

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/saman-marandi/

## Facts

| Field | Value |
| --- | --- |
| Citations | 10 |
| Field | Nuclear reactor physics and engineering |
| h-index | 1 |
| i10-index | 0 |
| Last Known Institution | University of Maryland, College Park |
| OpenAlex ID | https://openalex.org/A5119102168 |
| Works | 7 |

## Researcher papers

- [Complex System Diagnostics Using a Knowledge Graph-Informed and Large Language Model-Enhanced Framework](https://scholariq.org/papers/complex-system-diagnostics-using-a-knowledge-graph-informed-and-large-language/)
- [DML–LLM Hybrid Architecture for Fault Detection and Diagnosis in Sensor-Rich Industrial Systems](https://scholariq.org/papers/dml-llm-hybrid-architecture-for-fault-detection-and-diagnosis-in-sensor-rich/)
- [Complex System Diagnostics Using LLM-Informed Models and Knowledge Graphs](https://scholariq.org/papers/complex-system-diagnostics-using-llm-informed-models-and-knowledge-graphs/)
- [Integrating Large Language Models and Knowledge Graphs for System Diagnostics](https://scholariq.org/papers/integrating-large-language-models-and-knowledge-graphs-for-system-diagnostics/)
- [U.S. Nuclear Fuel Cycle Workforce Data Collection to support Future Demand Modeling](https://scholariq.org/papers/u-s-nuclear-fuel-cycle-workforce-data-collection-to-support-future-demand/)
- [RENEWS: A Graphical User Interface Program for Nuclear Power Industry Projection](https://scholariq.org/papers/renews-a-graphical-user-interface-program-for-nuclear-power-industry-projection/)
- [Stochastic Projections of U.S. Nuclear Power Industry to Identify Workforce Needs](https://scholariq.org/papers/stochastic-projections-of-u-s-nuclear-power-industry-to-identify-workforce-needs/)

## Researcher topics

- [Nuclear reactor physics and engineering](https://scholariq.org/topics/nuclear-reactor-physics-and-engineering/)
- [Risk and Safety Analysis](https://scholariq.org/topics/risk-and-safety-analysis/)
- [Nuclear and radioactivity studies](https://scholariq.org/topics/nuclear-and-radioactivity-studies/)
- [Advanced Data Processing Techniques](https://scholariq.org/topics/advanced-data-processing-techniques/)
- [Neural Networks and Applications](https://scholariq.org/topics/neural-networks-and-applications/)

## Researcher university

- [University of Maryland, College Park](https://scholariq.org/institutions/university-of-maryland-college-park/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.