| Alliance University | INDIA

Dr. R.C. Karpagalakshmi is a Professor at Alliance University since September 2023. She has an extensive academic and research background, specializing in machine learning, artificial intelligence, and data-driven healthcare applications. She has made significant contributions to the field through publications, book chapters, and patents, demonstrating excellence in both teaching and research.

Research & Publications

  • International Journal Publications: 39
  • International Conference Papers: 36
  • National Conference Papers: 22
  • Book Chapters: 5 notable contributions, including works on AI-enabled automated attendance, cyber security challenges, blockchain in library systems, and optimization of water quality using machine learning.
  • Books Authored:
    1. Machine Learning for Healthcare (2024) – Co-authored with Dr. Vignesh Thangathurai, Dr. P. Dileep, Dr. V. Banupriya
    2. Python Programming and Data Structures (2024) – Co-authored with Dr. S. S. Manikandasaran
    3. Exploratory Data Analysis – Charulatha Publications

Patents & Innovations

  • Holds 10 patent rights in her research domain.
  • Led innovative projects combining AI, machine learning, and data analytics for practical applications.

Awards & Recognitions

  • Young Achiever Award, IEAE, Bangalore (April 2018)
  • Researcher Award, Allinnov R&D Pvt. Ltd. (May 2018)
  • Dr. APJ Abdul Kalam Award for Scientific Excellence, Marina Labs, Chennai (Oct 2018)
  • Distinguished Professor Award, Vedant Academics Bangkok Awards in association with Kasetsart University, Thailand (June 2019)
  • Mentor for the 3rd AICTE-Chhatra Vishwakarma Awards, Southern Region (Dec 2019)

Research Funding

  • Secured ₹12,69,408 from AICTE under the Skill and Personality Development Program (SPDC) for SC/ST students.

Eligibility for Women Researcher Award

Dr. R.C. Karpagalakshmi’s consistent record of high-impact research, international publications, patents, funded projects, and recognized contributions to science and technology makes her eligible for the Women Researcher Award in Scientific Laurels. Her achievements reflect both innovation and leadership in her field, particularly in the areas of AI, machine learning, and healthcare technology.