PUBLICATIONS

1. Safaei, N., & Pant, G. (2025). No News About Climate Action is Good News for Low-Polluting Firms. Production and Operations Management, 10591478251387803.

WORKING PAPERS

1. Safaei, N., Namdar, J., Pant, G., & Pant, S. The Green Ripple Effect: Unraveling Green Innovation Spillover in Supply Chain Networks. Major Revision at Management Science
   [SSRN]
2. Namdar, J., Liu, Y., Safaei, N., & Modi, S. AI Skills in Supply Chain and Operations: Unlocking Productivity through Hybrid Expertise. Major Revision at M&SOM

WORK IN PROGRESS

1. Namdar, J., Safaei, N., & Yan, T. When Firms Fall Short: Measuring Operational Resilience Through Productivity.
2. Namdar, J., Safaei, N., Liu, Y., & Blackhurst, J. When Does AI Matter for Sourcing? Evidence from AI Human Capital.
3. Safaei, N., Namdar, J., & Jayaraman, V. Adapting Operations under Supply Chain Turbulence: The Role of Adaptive Operating Architecture and Executive Experience.
4. Safaei, N., Namdar, J., Liu, Y., & Pant, G. A Theory-Driven Machine Learning System for Corporate Greenwashing Prediction.

SELECTED PRACTICE-ORIENTED PAPERS & CONFERENCE PROCEEDINGS

1. Khaki, S., Safaei, N., & Ginotra, K. (2026). LiteSearch-VL: Small Multimodal Search Agents via Trajectory Distillation and Synthetic Step-DPO.
   [arXiv]
2. Khaki, S., Safaei, N., & Ginotra, K. (2026). Understanding Pruning Regimes in Vision-Language Models through Domain-Aware Layer Selection. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 3549–3558.
3. Khaki, S., Singh, A., Safaei, N., & Ginotra, K. (2025). VisTIRA: Closing the Image-Text Modality Gap in Visual Math Reasoning with a Transparent and Interpretable Reasoning Agent. Under Review at ACL
   [arXiv]
4. Khaki, S., Safaei, N., Pham, H., & Wang, L. (2022). WheatNet: A lightweight convolutional neural network for high-throughput image-based wheat head detection and counting. Neurocomputing, 489, 78–89.
5. Srivastava, A. K., Safaei, N., Khaki, S., et al. (2021). Winter wheat yield prediction using convolutional neural networks from environmental and phenological data. Scientific Reports, 12(1), 3215.
6. Safaei, N., Safaei, B., Seyedekrami, S., et al. (2022). E-CatBoost: An efficient machine learning framework for predicting ICU mortality using the eICU Collaborative Research Database. PLOS ONE, 17(5), e0262895.
7. Rajabalizadeh, A., Norouzi Nia, J., Safaei, N., et al. (2020). An exploratory analysis of electronic intensive care unit (eICU) collaborative research database. International Conference on Information Systems (ICIS).
8. Rajabalizadeh, A., Wang, S., Javadi, M., Safaei, N., et al. (2020). In-depth evaluation of APACHE scoring system using eICU database. International Conference on Information Systems (ICIS).
9. Safaei, B., Yuan, Y., & Safaei, N. (2024). Empowering Organizations Through Big Data: A Framework for Digital Resilience. American Conference on Information Systems (AMCIS).

CONFERENCES & INVITED TALKS