Journal Articles
(Student Co-author*)
10. Davoudi Kakhki, F.; Vora, H.*; Moghadam, A. (2025). "Biomechanical Risk Classification in Repetitive Lifting Using Multi-Sensor Electromyography Data, Revised National Institute for Occupational Safety and Health Lifting Equation, and Deep Learning". Biosensors, 15(2), 84;. DOI
9. Davoudi Kakhki, F.; Moghadam, A.; Nieto, A.*; Vora, H.* (2024). "Evaluating the Efficacy of a Passive Exoskeleton for Enhancing Ergonomics in Manufacturing". Applied Sciences. 14(13):5810. DOI
8. Kelmar, T.*; Chierichetti, M.; Davoudi Kakhki, F (2024). "Optimization of Sensor Placement for Modal Testing Using Machine Learning". Applied Sciences. 14(7): 3040. DOI
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.
Peer Reviewed Conference Proceedings
(Student Co-author*)
21. Vora, H.*, Davoudi Kakhki, F., Moghadam, A. (2025). Decision Trees and IMU Sensors for Risk Prediction in Manual Material Handling. In In Proceedings of the International Conference on Human-Computer Interaction (HCII 2025)(pp. 353-364). Cham: Springer Nature Switzerland. DOI
20. Zand, M.*, Wood, S., Davoudi, F., & Kyrarini, M. (2025, June). "Cognitive Fatigue Assessment for Human-Robot Collaboration: Review & Open Challenges". In Proceedings of the 18th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA'25) (pp. 74-84). DOI
19. Vora, H.*, & Kakhki, F. D. (2025). "EMG-Based Anomaly Detection for Evaluating Exoskeleton Impact on Muscle Strain". In Proceedings of the 2025 IEEE International Conference on Consumer Electronics (ICCE 2025) (pp. 1-4). IEEE. DOI
18. Vora, H.*, Kakhki, F. D., Moghadam, A., & Kyrarini, M. (2024). "Musculoskeletal risk modeling using sensors and machine learning". In Proceedings of the 2024 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM 2024) (pp. 232-236). IEEE. DOI
17. Kakhki, F. D., & Moghadam, A. (2024). "Comparative user feedback on the efficacy of a back-support exoskeleton in industrial settings". Human Factors in Design, Engineering, and Computing, 159(159). DOI
16. Nieto, A.*, Vora, H.*, Davoudi Kakhki, F., Moghadam, A. "User Assessment of Passive Exoskeleton in Manual Material Handling", In Proceedings of the Human-Computer Interaction International Conference (HCII 2024), 29 June-4 July 2024, Washington DC, USA. DOI
15. Hothi, H*., Davoudi Kakhki, F., "Developing a Quality Control System for Biotechnological Device Inspection Improvement", published in proceedings of the 14th International Conference on Applied Human Factors and Ergonomics (AHFE2023) and the Affiliated Conferences, under the 6th International Conference on Advanced Production Management and Process Control, 20-24 July 2023, San Francisco, CA, USA. DOI
14. Moghadam, A., Davoudi Kakhki, F., "Empirical Study of Machine Learning for Intelligent Bearing Fault Diagnosis", published in proceedings of the 14th International Conference on Applied Human Factors and Ergonomics (AHFE2023) and the Affiliated Conferences, under the 6th International Conference on Advanced Production Management and Process Control, 20-24 July 2023, San Francisco, CA, USA. DOI
13. Choppala, S*., Kelmar, T*., Chierichetti, M., Davoudi Kakhki, F., Huang, D*., "Optimal sensor location and stress prediction on a plate using machine learning'', published in proceedings of AIAA SciTech 2023 Forum, 23-27 January 2023, National Harbor, MD, USA. DOI
12. Davoudi Kakhki, F., Moghadam, A., "Convolutional Neural Networks for Fault Diagnosis and Condition Monitoring of Induction Motors'', accepted for inclusion in proceedings of Future of Information and Communication Conference (FICC) 2023 , 2-3 March 2023, San Francisco, CA, USA. DOI
11. Moghadam, A., Davoudi Kakhki, F., "Comparative Study of Decision Tree Models for Bearing Fault Detection and Classification'', published at proceedings of IHSI2022, 5th International Conference on Intelligent Human Systems Integration, 22-24 February 2022, Venice, Italy. DOI
10. Davoudi Kakhki, F., Freeman, S. A., Mosher, G.A., "Unsupervised Machine Learning for Pattern Identification in Occupational Accidents'', published at proceedings of IHSI2022, 5th International Conference on Intelligent Human Systems Integration, 22-24 February 2022, Venice, Italy. DOI
9. Chierichetti, M., Davoudi Kakhki, F., "Optimal Sensor Location along a Beam using Machine Learning'', published at AIAA SciTech 2022 Forum, 3-7 January 2022, San Diego, CA, USA (Virtual due to COVID-19). DOI
8. Choppala, S.*, Vurtur Badarinath, P.*, Chierichetti, M., Davoudi Kakhki, F., "Applications of Surrogate Finite Element Machine Learning Approach for Structural Monitoring'', accepted for presentation at IWSHM2021, International Workshop for Structural Health Monitoring, Palo Alto, CA.
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 Adult Cyclists' Sociodemographic Factors and Helmet-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 of namrc48, 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.