Biography and education
Biography:
Dr. Ruchi Kukde is a postdoctoral scholar and lecturer in the Department of Organization, Workforce, and Leadership Studies at Texas State University, contributing to NSF-funded projects and advancing research in STEM education, healthcare, and Prior Learning Assessment (PLA). As a mixed-methods researcher specializing in data analytics, statistical modeling, and interdisciplinary inquiry, she applies advanced analytical techniques to extract meaningful insights that inform research, policy, and practice. With over five years of experience in teaching courses in signal processing, machine learning, problem-solving, decision-making, and human systems in the workplace, Dr. Kukde is dedicated to developing students' analytical and critical thinking skills. Her work, published in esteemed academic journals and conference proceedings, reflects her commitment to advancing knowledge and evidence-based decision-making.
Education:
M.S. Data Analytics and Information Systems, Texas State University
Ph.D. Electrical and Computer Sciences, Indian Institute of Technology (IIT) Bhubaneswar, India
M.Tech. Electronics and Communication Engineering, Indian Institute of Technology (IIT) Bhubaneswar, India
B.E. Electronics Engineering, RTM Nagpur University, India
Dr. Ruchi Kukde is a postdoctoral scholar and lecturer in the Department of Organization, Workforce, and Leadership Studies at Texas State University, contributing to NSF-funded projects and advancing research in STEM education, healthcare, and Prior Learning Assessment (PLA). As a mixed-methods researcher specializing in data analytics, statistical modeling, and interdisciplinary inquiry, she applies advanced analytical techniques to extract meaningful insights that inform research, policy, and practice. With over five years of experience in teaching courses in signal processing, machine learning, problem-solving, decision-making, and human systems in the workplace, Dr. Kukde is dedicated to developing students' analytical and critical thinking skills. Her work, published in esteemed academic journals and conference proceedings, reflects her commitment to advancing knowledge and evidence-based decision-making.
Education:
M.S. Data Analytics and Information Systems, Texas State University
Ph.D. Electrical and Computer Sciences, Indian Institute of Technology (IIT) Bhubaneswar, India
M.Tech. Electronics and Communication Engineering, Indian Institute of Technology (IIT) Bhubaneswar, India
B.E. Electronics Engineering, RTM Nagpur University, India
Teaching Interests
Research Interests
Featured grants
- Ashford-Hanserd, Shetay Nicole, Kukde, Ruchi Dilip. ACCEYSS STEM Success Platform, FIAP, Texas State University, Institutional (Higher Ed), $1000. (Funded: April 2024). Grant.
Featured scholarly/creative works
- Kukde, R. D., Shah, J., & Chakraborty, A. (2025). Data-Driven Insights into Diabetes-Related Hospital Readmissions in the United States: Trends and Predictors. In Artificial intelligence and social computing (Vol. 163). AHFE Open Access. https://doi.org/https://doi.org/10.54941/ahfe1006030
- Kukde, R. D., Hough, T. D., & Ashford-Hanserd, S. N. (2025). NSF CAREER: Effects of Community Cultural Wealth on Persistence of Black and Hispanic Women in the P-20 Computing Workforce Pipeline in Texas. https://doi.org/https://doi.org/10.18260/1-2--55776
- Sherron, T., Kukde, R. D., Schumacker, R., & Xie, L. (2025). Analyzing Competency in Block Credit Prior Learning Assessment: Machine Learning Model Comparisons. AERA Online Paper Repository. https://doi.org/https://doi.org/10.3102/2191503
- Kukde, R. D., Chakraborty, A., & Shah, J. (2024). A Systematic Review of Recent Studies on Hospital Readmissions of Patients With Diabetes. Cureus, 16(6), e67513. https://doi.org/https://doi.org/10.7759/cureus.67513
- Kukde, R. D., Panda, G., & Mnaikandan, M. S. (2020). Bio-inspired evolutionary computing approach for distributed active noise control problem. Cognitive Computation and Systems, 2, 57–65. https://doi.org/https://doi.org/10.1049/ccs.2019.0030
Featured awards
- Award / Honor Recipient: Ronald J. and Amy B. Lightfoot Endowed Graduate Fellowship in Business. 2022 - 2023
- Award / Honor Recipient: Dorothy Jewell Leinneweber Graduate Fellowship. 2022 - 2023
- Award / Honor Recipient: H. C. Vivian Memorial Endowment Scholarship. 2022 - 2023
- Award / Honor Recipient: McCoy Fellowship of Distinction. March 2023
- Award / Honor Recipient: Doctoral Research Fellowship, Ministry of Human Resource Development, Government of India. 2014 - 2019
Featured service activities
- Member
BAAS Program Committee
- Reviewer / Referee
Signal, Image, and Video Processing, Springer
- Member
BAAS in Data Analytics Program Development
- Speaker
Graduate Student Orientation, McCoy College of Business, Texas State University
- Speaker
Tech Panel, Media and Technology Session, Youth Leadership, San Marcos Chamber of Commerce
- Member
INFORMS