Faculty Profiles

Colleges and Departments

Dr. Ruchi Dilip Kukde

  • Asst Professor of Instruction - Org, Wkforce, & Ldrshp Studies
Portrait of Dr. Ruchi Dilip Kukde

Biography and education

Dr. Ruchi Kukde is an Assistant Professor of Instruction in the Department of Organization, Workforce, and Leadership Studies at Texas State University. With over seven years of teaching experience in courses such as signal processing, machine learning, neural networks, data analytics, decision-making, and human systems in the workplace, she is dedicated to developing students’ analytical and critical-thinking skills.

Dr. Kukde is a mixed-methods researcher with expertise in data analytics, statistical modeling and visualization. Her research focuses on STEM+C education, Career and Technical Education (CTE), decision-making across disciplines, healthcare systems, and adult learning. Dr. Kukde mentors and supports undergraduate, graduate, and doctoral students in research design, data analysis, scholarly writing, and professional development.

Her work appears in peer-reviewed journals and conference proceedings and reflects a commitment to rigorous, data-driven inquiry that informs policy and practice. Dr. Kukde earned a Master of Science in Data Analytics and Information Systems from Texas State University, as well as an M.Tech. and a Ph.D. in Electrical and Computer Sciences from the Indian Institute of Technology Bhubaneswar, India.

Teaching Interests

Research Interests

  • Ashford-Hanserd, Shetay Nicole, Kukde, Ruchi Dilip. ACCEYSS STEM Success Platform​, FIAP, Texas State University, Institutional (Higher Ed), $1000. (Funded: April 2024). Grant.
  • Moreno, T. D., Carrera, L., Kukde, R. D., & Ashford-Hanserd, S. N. (2026). Influence of Community Cultural Wealth on Undergraduate Women of Color in Computing. Journal of the National Organization for Student Success, 3(2).
  • Kukde, R. D. (2026). Changing Landscape of Problem-solving and Decision-making in the Workplace. In Occupational Training in the Future of Work. Emerald Publishing Limited. https://doi.org/https://doi.org/10.1108/978-1-80686-027-220261003
  • Sherron, T., Kukde, R. D., Schumacker, R., & Xie, L. (2026). Analyzing Competency in Block Credit Prior Learning Assessment:  Machine Learning Model Comparisons. General Linear Model Journal, Vol. 50((1)).
  • 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., 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
View all scholarly/creative works
  • 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
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  1. Other

    BAAS in Data Analytics

  2. Reviewer / Referee

    Journal of Research in Technical Careers

  3. Member

    Student Evaluations of Teaching (SET) Working Group

  4. Member

    BAAS Program Committee

  5. Speaker

    Tech Panel, Media and Technology Session, Youth Leadership, San Marcos Chamber of Commerce

  6. Reviewer / Referee

    IEEE Transactions on Audio, Speech and Language Processing

  7. View all activities