Faculty Profile for Dr. Ruchi Dilip Kukde

profile photo for Dr. Ruchi Dilip Kukde
Dr. Ruchi Dilip Kukde
Postdoctoral Scholar — Org, Wkforce, & Ldrshp Studies
PED 109
phone: (512) 245-2115
Scholarly/Creative Work
Awards
Grants
Service

Biography Section

Biography and Education

 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, she specializes in data analysis, statistical modeling, and interdisciplinary inquiry. She applies advanced analytical techniques to extract insights that inform research, policy, and practice. With nearly five years of experience teaching courses in signal processing, machine learning, problem-solving and 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.

Teaching Interests

 Data Analytics
Data Visualization
Problem-solving and Decision-making
Human Systems in Workplace
Adaptive Systems and Signal Processing
Statistics

Research Interests

 Quantitative and Qualitative Data Analysis
Healthcare Informatics
Machine Learning
Optimization
Adaptive Signal Processing

Selected Scholarly/Creative Work

  • Sherron, T., Kukde, R. D., Schumacker, R., & Xie, L. (n.d.). Analyzing Competency in Block Credit Prior Learning Assessment: Machine Learning Model Comparisons.
  • Sherron, T., & Kukde, R. D. (n.d.). Constructing Educational Possibilities with Experiential Learning and Prior Learning Assessment.
  • 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.
  • Kukde, R. D., Manikandan, M. S., & Panda, G. (2020). Incremental Learning based Adaptive Filter for Non-linear Distributed Active Noise Control System. IEEE Open Journal of Signal Processing, 1, 1–13.
  • 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.

Selected Awards

  • Award / Honor Recipient: Dorothy Jewell Leinneweber Graduate Fellowship. 2022 - 2023
  • Award / Honor Recipient: H. C. Vivian Memorial Endowment Scholarship. 2022 - 2023
  • Award / Honor Recipient: Ronald J. and Amy B. Lightfoot Endowed Graduate Fellowship in Business. 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

Selected Grants

  • Ashford-Hanserd, Shetay Nicole, Kukde, Ruchi Dilip. ACCEYSS STEM Success Platform​, FIAP, Texas State University, Institutional (Higher Ed), $1000. (Funded: April 2024). Grant.

Selected Service Activities

Member
BAAS Program Committee
February 2025-Present
Volunteer - Poster Judge
2024 TXST STEM Conference
2024-Present
Reviewer / Referee
Signal, Image, and Video Processing, Springer
2024-Present
Member
BAAS in Data Analytics Program Development
October 2024-Present
Member
INFORMS
2023-Present