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 brings a comprehensive skill set to academia, specializing in data analysis, statistical modeling, and teaching. She is a postdoctoral scholar and a lecturer at the Department of Organization, Workforce and Leadership Studies at Texas State University. Proficient in various programming languages, data analysis and visualization tools, including Tableau, Python, SAS, R, SQL, SPSS, and MS Excel, she leverages these skills to provide actionable insights. Dr. Kukde's teaching experience spans over four years in both online and offline settings, demonstrating her dedication to nurturing the next generation of professionals. Her published research in esteemed academic journals and conference proceedings further underscores her commitment to advancing knowledge and contributing to the field. Dr. Kukde takes pride in providing data analysis support, ensuring data accuracy and integrity, and guiding teams in data-driven decision-making.

Teaching Interests

 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

  • 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.
  • Sherron, T., & Kukde, R. D. (n.d.). Analyzing Competency in Block Credit Prior Learning Assessment: A Machine Learning Approach.
  • 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.
  • Kukde, R. D., Manikandan, M. S., & Panda, G. (2019). Reduced complexity diffusion filtered x least mean square algorithm for distributed active noise cancellation. Signal, Image and Video Processing, 13, 447–455.

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: The Graduate College Scholarship- Business. 2022
  • 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

Volunteer - Poster Judge
2024 TXST STEM Conference
2024-Present
Reviewer / Referee
Signal, Image, and Video Processing, Springer
2024-Present
Member
INFORMS
2023-Present
Member
National Postdoctoral Association
August 2023-Present
Member
Prior Learning Assessment (PLA)
August 2023-Present