SelectedWorks - Fatemeh Davoudi Kakhki

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Selected Works of Fatemeh Davoudi Kakhki

Assistant Professor, Engineering Technology

Dr. Fatemeh Davoudi Kakhki is an Assistant Professor of Manufacturing Systems in the Department of Aviation and Technology at San Jose State University. Her research interests lie in applied machine learning and predictive modeling of industrial systems, quality management and lean manufacturing, and statistical modeling of industrial occupational incidents for improving safety outcomes.

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About Fatemeh Davoudi Kakhki

Dr. Fatemeh Davoudi Kakhki is an Assistant Professor of Manufacturing Systems in the Department of Aviation and Technology at San Jose State University. Her research interests lie in applied machine learning and predictive modeling of industrial systems, quality management and lean manufacturing, and statistical modeling of industrial occupational incidents for improving safety outcomes.

Convolutional Neural Networks for Fault Diagnosis and Condition Monitoring of ...

FICC 2023: Advances in Information and Communication (2023)

Fatemeh Davoudi Kakhki and Armin Moghadam

Intelligent fault diagnosis methods using vibration signal analysis is widely used for fault detection of bearing for condition monitoring of ...

Optimal sensor location along a beam using machine learning

AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022 (2022)

Maria Chierichetti and Fatemeh Davoudi Kakhki

The selection of the number, type and placement of sensors to monitor a vibrating system is critical to obtain accurate ...

A Machine Learning Approach as a Surrogate for a Finite ...

Poojitha Vurtur Badarinath, Maria Chierichetti and Fatemeh Davoudi Kakhki

Current maintenance intervals of mechanical systems are scheduled a priori based on the life of the system, resulting in expensive ...

Predictive modeling for occupational safety outcomes and days away from ...

International Journal of Environmental Research and Public Health (2020)

Anurag Yedla, Fatemeh Davoudi Kakhki and Ali Jannesari

Mining is known to be one of the most hazardous occupations in the world. Many serious accidents have occurred worldwide ...

Use of Neural Networks to Identify Safety Prevention Priorities in ...

Applied Sciences (2019)

Fatemeh Davoudi Kakhki, Steven A Freeman and Gretchen A. Mosher

The grain handling industry plays a significant role in U.S. agriculture by storing, distributing, and processing a variety of agricultural ...

Segmentation of Severe Occupational Incidents in Agribusiness Industries Using Latent ...

Applied Sciences (2019)

Fatemeh Davoudi Kakhki, Steven A. Freeman and Gretchen A. Mosher

One of the principle objectives in occupational safety analysis is to identify the key factors that affect the severity of ...

Use of Logistic Regression to Identify Factors Influencing the Post-Incident ...

Applied Sciences (2019)

Fatemeh Davoudi Kakhki, Steven A. Freeman and Gretchen A. Mosher

Agribusiness industries are among the most hazardous workplaces for non-fatal occupational injuries. The term “post-incident state” is used to describe ...

Evaluating machine learning performance in predicting injury severity in agribusiness ...

Safety Science (2019)

Fatemeh Davoudi Kakhki, Steven A. Freeman and Gretchen A. Mosher

Although machine learning methods have been used as an outcome prediction tool in many fields, their utilization in predicting incident ...

Analyzing Large Workers’ Compensation Claims Using Generalized Linear Models and ...

Fatemeh Davoudi Kakhki, Steven A. Freeman and Gretchen A. Mosher

Insurance practitioners rely on statistical models to predict future claims in order to provide financial protection. Proper predictive statistical modeling ...

Contribution to Book

Convolutional Neural Networks for Fault Diagnosis and Condition Monitoring of ...

Advances in Information and Communication Proceedings of the 2023 Future of Information and Communication Conference (FICC), Volume 2 (2023)

Fatemeh Davoudi Kakhki and Armin Moghadam

Intelligent fault diagnosis methods using vibration signal analysis is widely used for fault detection of bearing for condition monitoring of ...

Comparative Study of Decision Tree Models for Bearing Fault Detection ...

AHFE International; Proceedings of IHSI2022, 5th International Conference on Intelligent Human Systems Integration (2022)

Armin Moghadam and Fatemeh Davoudi Kakhki

Fault diagnosis of bearings is essential in reducing failures and improving functionality and reliability of rotating machines. As vibration signals ...

Unsupervised Machine Learning for Pattern Identification in Occupational Accidents

AHFE International; Proceedings of IHSI2022, 5th International Conference on Intelligent Human Systems Integration (2022)

Fatemeh Davoudi Kakhki, Steven A Freeman and Gretchen A. Mosher

Creating safe work environment is significant in saving workers’ lives, improving corporates’ social responsibility and sustainable development. Pattern identification in ...

Optimal sensor location along a beam using machine learning

AIAA 2022-1465 Session: Vibration, Energy Harvesting, and Machine Learning (2022)

Maria Chierichetti and Fatemeh Davoudi Kakhki

The selection of the number, type and placement of sensors to monitor a vibrating system is critical to obtain accurate ...

Contribution to Book

Machine Learning for Occupational Slip-Trip-Fall Incidents Classification Within Commercial Grain ...

In: Arezes P.M., Boring R.L. (eds) Advances in Safety Management and Human Performance. AHFE 2021. Lecture Notes in Networks and Systems, vol 262. Springer, Cham. (2021)

Fatemeh Davoudi Kakhki, Steven A Freeman and Gretchen A. Mosher

The grain handling industry plays a significant role in U.S. agriculture by storing, distributing, and processing a variety of agricultural ...

Contribution to Book

Statistical Analysis of Adult Cyclists’ Sociodemographic Factors and Helmet-Wearing Behavior

In: Stanton N. (eds) Advances in Human Aspects of Transportation. AHFE 2021. Lecture Notes in Networks and Systems, vol 270. Springer, Cham. (2021)

Karl Auer, Poojitha Vurtur Badarinath, Fatemeh Davoudi Kakhki and Maria Chierichetti

Multiple studies show the benefits to biking safety of the use of helmets, but opponents to Bicycle Helmet Laws claim ...

Contribution to Book

Data-Driven Fault Classification Using Support Vector Machines

In: Russo D., Ahram T., Karwowski W., Di Bucchianico G., Taiar R. (eds) Intelligent Human Systems Integration 2021. IHSI 2021. Advances in Intelligent Systems and Computing, vol 1322. Springer, Cham. (2021)

Deepthi Jallepalli and Fatemeh Davoudi Kakhki

Detecting faulty condition of rolling-element bearings is significant in improving system reliability and preventing machine failure in industrial operations. In ...

Surrogated finite element models using machine learning

AIAA 2021-0309 Session: Application of Artificial Intelligence and Machine Learning to Problems in Structures and Materials (2021)

Maria Chierichetti, Fatemeh Davoudi Kakhki, Daniel Huang and Poojitha Vurtur Badarinath

Current maintenance intervals of mechanical systems are scheduled a priori based on the life of the system, resulting in expensive ...

Contribution to Book

Utilization of Machine Learning in Analyzing Post-incident State of Occupational ...

In: Arezes P., Boring R. (eds) Advances in Safety Management and Human Performance. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1204. Springer, Cham. (2020)

Fatemeh Davoudi Kakhki, Steven A. Freeman and Gretchen A. Mosher

Due to the high frequency and costs of occupational incidents in agro-manufacturing operations, as well as substantial impact of occupational ...

Contribution to Book

Applied machine learning in agro-manufacturing occupational incidents

Procedia Manufacturing (2020)

Fatemeh Davoudi Kakhki, Steven A. Freeman and Gretchen A. Mosher

Commercial grain elevators are hazardous agro-manufacturing work environments where workers are prone to serious and life-threatening injuries. The aim of ...

Contribution to Book

Utilization of Machine Learning in Analyzing Post-incident State of Occupational ...

Advances in Safety Management and Human Performance: Proceedings of the AHFE 2020 Virtual Conferences on Safety Management and Human Factors, and Human Error, Reliability, Resilience, and Performance, July 16-20, 2020, USA (2020)

Fatemeh Davoudi Kakhki, Steven A. Freeman and Gretchen A. Mosher

Due to the high frequency and costs of occupational incidents in agro-manufacturing operations, as well as substantial impact of occupational ...

Classifying and Predicting Occupational Incident Severity

ATMAE 50th Anniversary Annual Conference Proceedings (2017)

Fatemeh Davoudi Kakhki, Steven A. Freeman and Gretchen A. Mosher

The focus of the study is to build a predictive model and assess its performance in classifying the financial severity ...

Design of an Evaluation Plan for Senate Bill 1046

Mineta Transportation Institute (2022)

Maria Chierichetti, Armin Moghadam and Fatemeh Davoudi

In an effort to understand and decrease alcohol-impaired driving as a primary collision factor In California, the research team designed ...

Exploring the Relationship Between Mandatory Helmet Use Regulations and Adult ...

Mineta Transportation Institute (2021)

Fatemeh Davoudi Kakhki and Maria Chierichetti

In California, bike fatalities increased by 8.1% from 2015 to 2016. Even though the benefits of wearing helmets in protecting ...