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Author

P. Peykani

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#data science Review Open access Oct 2026

Network data envelopment analysis in the insurance industry: a literature review

Data envelopment analysis (DEA) and, more specifically, network DEA (NDEA) have been extensively employed in recent decades to assess the efficiency and performance of insurance companies. Yet, despite this growing body of work, there is still no coherent and structured overview of which network structures have been ad...

P. Peykani, A. Emrouznejad, Zahra Abbasi · 0 citations
Open access Aug 2026

A machine learning framework for multi-market portfolio optimization: Evidence from U.S. stocks and cryptocurrencies

The results show that the predictive models provide useful signals for portfolio construction, with all optimized strategies achieving markedly lower risk than the naïve portfolio for the same expected return level.

P. Peykani, Daniyal Sabour, Cristina Tanasescu · 0 citations
Review Open access Aug 2026

The Versatility of Large Language Models: A Comprehensive Review and Structured Survey of Architectures, Applications, Challenges, and Future Trajectories

This survey reviews the evolution of language models from early statistical approaches to modern Transformer-based architectures and summarizes key developments, including attention mechanisms, scaling laws, alignment techniques, and efficient inference methods.

P. Peykani, V. Charles, A. Emrouznejad et al. · 0 citations

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