Publications & Presentations

Journal Papers

7. Vurtur Badarinath, P., Chierichetti, M. , & Davoudi Kakhki, F. (2021). "A Machine Learning Approach as a Surrogate for a Finite Element Analysis : Status of Research and Application to One Dimensional Systems''. Sensors, 21 (5), 1654. DOI

6. Yedla, A., Davoudi Kakhki, F., & Jannesari, A. (2020). "Predictive Modeling for Occupational Safety Outcomes and Days Away from Work Analysis in Mining Operations''. International Journal of Environmental Research and Public Health, 17 (19), 7054. DOI

5. Davoudi Kakhki, F., Freeman, S. A., & Mosher, G. A. (2019). "Use of neural networks to identify safety prevention priorities in agro-manufacturing operations within commercial grain elevators''. Applied Sciences, 9(21), 4690. DOI.

4. Davoudi Kakhki, F., Freeman, S. A., & Mosher, G. A. (2019). "Evaluating machine learning performance in predicting injury severity in agribusiness industries''. Safety Science, 117, 257-262. DOI.

3. Davoudi Kakhki, F., Freeman, S. A., & Mosher, G. A. (2019). "Segmentation of severe occupational incidents in agribusiness industries using latent class clustering''. Applied Sciences, 9(18), 3641. DOI.

2. Davoudi Kakhki, F., Freeman, S. A., & Mosher, G. A. (2019). "Use of logistic regression to identify factors influencing the post-incident state of occupational injuries in agribusiness operations''. Applied Sciences, 9(17), 3449. DOI.

1. Davoudi Kakhki, F., Freeman, S. A., & Mosher, G. A. (2018). "Analyzing large workers’ compensation claims using generalized linear models and Monte Carlo simulation''. Safety, 4(4), 57. DOI.

Conference Papers

9. Berrios , O., Davoudi Kakhki, F., "A framework for reliability analysis of cloud services'', accepted for presentation at IHSI2022, 5th International Conference on Intelligent Human Systems Integration, 22-24 February 2022, Venice, Italy.

8. Moghadam, A., Davoudi Kakhki, F., "Comparative study of decision tree models for bearing fault detection and classification'', accepted for presentation at IHSI2022, 5th International Conference on Intelligent Human Systems Integration, 22-24 February 2022, Venice, Italy.

7. Davoudi Kakhki, F., Freeman, S. A., Mosher, G.A., "Machine learning for occupational slip-trip-fall incidents classification within commercial grain elevators", published at AHFE2021, 12th International Conference on Applied Human Factors and Ergonomics, Manhattan, NY, 25-29 July 2021 (Virtual Conference due to COVID-19). DOI

6. Auer, K., Vurtur Badarinath, P., Davoudi Kakhki, F., Chierichetti, M., "Statistical analysis of ddult cyclists' sociodemographic factors and hemet-wearing behavior'', published at AHFE2021, 12th International Conference on Applied Human Factors and Ergonomics, Manhattan, NY, 25-29 July 2021 (Virtual Conference due to COVID-19). DOI

5. Jallepalli, D., Davoudi Kakhki, F., "Data-driven fault classification using support vector machines'', published at IHSI2021, 4th International Conference on Intelligent Human Systems Integration, 22-25 February 2021 (Virtual Conference due to COVID-19). DOI

4. Chierichetti, M., Davoudi Kakhki, F., Huang, D., Vurtur Badarinath, P., "Surrogated finite element models using machine learning'', published at AIAA Scitech 2021 Forum, 4 January 2021 (Virtual Conference due to COVID-19). DOI

3. Davoudi Kakhki, F., Freeman, S. A., & Mosher, G.A., "Utilization of machine learning in analyzing post-incident state of occupational injuries in agro-manufacturing industries'', published at AHFE 2020, 11th International Conference on Applied Human Factors and Ergonomics, San Diego, CA, 16-20 July 2020 (Virtual Conference due to COVID-19). DOI  (AHFE 2020 Best Paper Award in Safety Management and Human Factors Track)

2. Davoudi Kakhki, F., Freeman, S. A., & Mosher, G. A., "Applied machine learning in agro-manufacturing occupational Incidents'', published at Procedia Manufacturing, proceedings ofnamrc48, 48th North American Manufacturing Research Conference, Cincinnati, OH, 22-26 June 2020 (Cancelled due to COVID-19). DOI

  1. Davoudi Kakhki, F., Freeman, S. A., Mosher, G.A., "Classifying and predicting occupational incident severity''. In 2017 ATMAE Conference Proceeding Papers, Cincinnati, OH, 1-3 November 2017.

Invited Talks & Other Technical Reports