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School of Engineering

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  4. Davoudi, Fatemeh
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Journal Articles

(Student Co-author*)

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.

Conference Proceedings

(Student Co-author*)

17. Nieto, A.*, Vora, H.*, Davoudi Kakhki, F., Moghadam, A. "User Assessment of Passive Exoskeleton in Manual Material Handling", accepted for publication in the Human-Computer Interaction International Conference (HCII 2024), 29 June-4 July 2024, Washington DC, USA. DOI

16. Davoudi Kakhki, F., "Improving Students’ Learning Outcomes through Project-based Pedagogical Approach: A Case Study in Engineering Technology", accepted for the ASEE-PSW Annual Conference (PSW2023), 13-15 April 2023, University of Southern California, LA, CA, USA.

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.

 

Invited Talks & Other Technical Reports

  • "Applied Machine Learning in Improving Industrial Systems''. Invited Speaker for Research Seminar, Department of Aerospace Engineering & Mechanics, University of Minnesota, Twin Cities, Minnesota, December 2022. 
  • "Hidden Challenges in Industry-Academia Collaboration''. Invited Panelist, NSF Industry-Academia Collaboration in Advanced Manufacturing Workshop, MSEC2022 (Purdue University), West Lafayette, Indiana, June 29,2022.
  • Chierichetti, M., Moghadam, A., &  Davoudi Kakhki, F., "Design of an Evaluation Plan for Senate Bill 1046''. published by Mineta Transportation Institute (MTI), June 2022.
  • Davoudi Kakhki, F. & Chierichetti, M., "Exploring the Relationship Between Mandatory Helmet Use Regulations and Adult Cyclists’ Behavior in California Using Hybrid Machine Learning Models''. published by Mineta Transportation Institute (MTI), October 2021.
  • "Predicting patterns of severe injuries in agribusiness industries using latent class analysis and neural networks''. Invited Speaker, Business Analytics Symposium (Iowa State University), Des Moines, Iowa, April 2019.

Conference Presentations 

9. Moghadam, A., Davoudi Kakhki, F.,  “Application of Artificial Neural Networks for Bearing Fault Classification”. accepted for presentation at ATMAE2023, Annual Conference of Association of Technology Management & Applied Engineering, Atlanta, GA, 25-27 October, 2023.

8. Davoudi Kakhki, F., Moghadam, A., “Fault Detection via Time Domain Statistical Features and Machine Learning”. accepted for presentation at ATMAE2022, Annual Conference of Association of Technology Management & Applied Engineering, Louisville, KY, 8-10 November, 2022.

7. Moghadam, A., Davoudi Kakhki, F., “Implementing Deep Learning for Anomaly Detection and Quality Control”. accepted for presentation at ATMAE2022, Annual Conference of Association of Technology Management & Applied Engineering, Louisville, KY, 8-10 November, 2022.

6. Davoudi Kakhki, F., “Opportunities for engaged pedagogy in post-pandemic: insights from students’ remote learning experiences”. accepted for presentation at ATMAE2022, Annual Conference of Association of Technology Management & Applied Engineering, Louisville, KY, 8-10 November, 2022.

5. Davoudi Kakhki, F., Freeman, S. A., Mosher, G.A., “Identifying risk profiles of occupational incidents among agribusiness workers”. presented at ATMAE2021, Annual Conference of Association of Technology Management & Applied Engineering, Orlando, FL, 2-5 November, 2021.

4. Davoudi Kakhki, F., Zargari, A., “Trends in Demographics and Characteristics of Faculty in ATMAE-Accredited Institutes in USA”. presented at ATMAE2021, Annual Conference of Association of Technology Management & Applied Engineering, Orlando, FL, 2-5 November, 2021.

3. Davoudi Kakhki, F., Freeman, S. A., Mosher, G.A., “Factors affecting medical costs in occupational disease-related injuries in bulk storage operations”. presented at ATMAE2019, Annual Conference of Association of Technology Management & Applied Engineering, Charlotte, NC, 5-8 November, 2019.

2. Davoudi Kakhki, F., Freeman, S. A., “The Effect of project-based learning pedagogical approach on improving students’ learning outcomes in manufacturing technology”. presented at ATMAE2019, Annual Conference of Association of Technology Management & Applied Engineering, Charlotte, NC, 5-8 November, 2019.

1. Davoudi Kakhki, F., Freeman, S. A., Mosher, G.A., “Development of a quantitative risk model for industrial occupational incidents”. presented at ATMAE2018, Annual Conference of Association of Technology Management & Applied Engineering, Kansas City, MO, 5-8 November, 2018.

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