# Halil Iseri

**Type:** Researchers  
**Canonical URL:** https://scholariq.org/researchers/halil-iseri/

## Facts

| Field | Value |
| --- | --- |
| Citations | 99 |
| Field | Integrated Energy Systems Optimization |
| h-index | 4 |
| i10-index | 4 |
| Last Known Institution | Texas A&M University |
| OpenAlex ID | https://openalex.org/A5094078783 |
| Works | 13 |

## Researcher papers

- [Next-generation reverse logistics networks of photovoltaic recycling: Perspectives and challenges](https://scholariq.org/papers/next-generation-reverse-logistics-networks-of-photovoltaic-recycling/)
- [AI-based predictive analytics for enhancing data-driven supply chain optimization](https://scholariq.org/papers/ai-based-predictive-analytics-for-enhancing-data-driven-supply-chain/)
- [Planning strategies in the energy sector: Integrating bayesian neural networks and uncertainty quantification in scenario analysis & optimization](https://scholariq.org/papers/planning-strategies-in-the-energy-sector-integrating-bayesian-neural-networks-2/)
- [A Circular Economy Systems Engineering Framework for Waste Management of Photovoltaic Panels](https://scholariq.org/papers/a-circular-economy-systems-engineering-framework-for-waste-management-of/)
- [A multi-objective decision-making framework for renewable energy transportation](https://scholariq.org/papers/a-multi-objective-decision-making-framework-for-renewable-energy-transportation/)
- [Design of a Reverse Supply Chain Network for Photovoltaic Panels](https://scholariq.org/papers/design-of-a-reverse-supply-chain-network-for-photovoltaic-panels/)
- [An Enhanced Decision-Making Framework for Designing Renewable Energy Supply Chains](https://scholariq.org/papers/an-enhanced-decision-making-framework-for-designing-renewable-energy-supply/)
- [A Data-Driven Optimization Framework for the Design and Operation of Adaptive and Resilient Energy Supply Chain Networks under Uncertainty](https://scholariq.org/papers/a-data-driven-optimization-framework-for-the-design-and-operation-of-adaptive/)
- [Supply chain resilience and safety for the energy sector](https://scholariq.org/papers/supply-chain-resilience-and-safety-for-the-energy-sector/)
- [Planning Strategies in the Energy Sector: Integrating Bayesian Neural Networks and Uncertainty Quantification in Scenario Analysis & Optimization](https://scholariq.org/papers/planning-strategies-in-the-energy-sector-integrating-bayesian-neural-networks/)

## Researcher topics

- [Integrated Energy Systems Optimization](https://scholariq.org/topics/integrated-energy-systems-optimization/)
- [Sustainable Supply Chain Management](https://scholariq.org/topics/sustainable-supply-chain-management/)
- [Hybrid Renewable Energy Systems](https://scholariq.org/topics/hybrid-renewable-energy-systems/)
- [Electric Vehicles and Infrastructure](https://scholariq.org/topics/electric-vehicles-and-infrastructure/)
- [Energy Load and Power Forecasting](https://scholariq.org/topics/energy-load-and-power-forecasting/)

## Researcher university

- [Texas A&M University](https://scholariq.org/institutions/texas-a-and-m-university/)

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