MS in Computer Science, UIC

MS in Computer Science, UIC

she/her

Publications

Employee Attrition: Prediction, Analysis Of Contributory Factors And Recommendations For Employee Retention

Published in IEEE Xplore, 2023

A framework designed to predict employees’ susceptibility to attrition and provide employers with recommendations to prevent attrition.

Recommended citation: Mitravinda, K. M., and Sakshi Shetty. "Employee Attrition: Prediction, Analysis Of Contributory Factors And Recommendations For Employee Retention" 2022 IEEE International Conference for Women in Innovation, Technology & Entrepreneurship (ICWITE). IEEE, 2022. https://ieeexplore.ieee.org/document/10176235

Mental Health in Tech: Analysis of Workplace Risk Factors and Impact of COVID-19

Published in Springer Nature Computer Science, 2023

Researched the factors affecting mental health of employees in the tech industry, performed prediction and mental health risk-classification along with multi-year study on the impact of COVID-19 towards the mental health scenario in tech.

Recommended citation: Mitravinda, K. M., Devika S. Nair, and Gowri Srinivasa. "Mental Health in Tech: Analysis of Workplace Risk Factors and Impact of COVID-19" SN computer science 4.2 (2023): 197. https://link.springer.com/article/10.1007/s42979-022-01613-z

Face Sketch-Photo Synthesis and Recognition

Published in Springer ‘Lecture Notes in Networks and Systems’ book series, 2022

A framework devised to mitigate the challenge faced by the law enforcement in accurately identifying faces of criminals through forensic sketches or mugshot photos.

Recommended citation: Mitravinda, K. M., et al. "Face Sketch-Photo Synthesis and Recognition" International Conference on Image Processing and Capsule Networks. Cham: Springer International Publishing, 2022. https://doi.org/10.1007/978-3-031-12413-6_7