Dr. V. Radhamani
M.Sc., MCA, M.Phil., Ph.D.
M.Sc. Decision and Computing SciencesTeaching Responsibilities
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DevOpS
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Full Stack Web Application Development
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Digital Marketing
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Blockchain Technology
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Big Data Analytics
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Business Intelligence
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Cloud Computing
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Linux System Programming
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Object Oriented Programming using Java
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Problem Solving using C Language
Academic background
- Dr. V. Radhamani is an accomplished academician with over 19 years of teaching experience in Computer Science and 25+ years of overall professional experience.
- She currently serves as Assistant Professor (Sl.Gr.) in the Department of Computing – Decision and Computing Sciences at Coimbatore Institute of Technology.
- She actively contributes to curriculum development, student mentoring, industry collaboration, and professional development activities including FDPs, workshops, webinars, and training programmes.
- Ph.D. in Cloud Computing – Bharathiar University (2023)
- MCA, M.Phil., M.Sc., B.Sc. – Bharathiar University
- Diploma in Computer Science and Engineering – State Board of Technical Education and Training
- M.Sc. Computer Science, Bharathiar University, Tamil Nadu, India.
- B.Sc. Computer Science, Bharathiar University, Tamil Nadu, India.
Awards
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Best Research Paper Award (2025) – SCMIM International Conference
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Qiskit Global Summer School – Quantum Excellence – IBM, 2023
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Dr. Sarvepalli Radhakrishnan Best Teacher Award – Society for Learning Technologies, 2021
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Elite + Silver Medalist (Top 5%) – SWAYAM NPTEL, Cloud Computing, 2019
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Certified SUSE & Novell Linux Administrator
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She has received recognition for her academic and research contributions and actively engages in continuous learning and innovation. She holds professional memberships in the AMIEE Association, Society of Learning Technologies, and the IBM Qiskit Translations Community.
Research Interest
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Dr. V. Radhamani has published 29 research contributions including Scopus-indexed journals, international conference papers, book chapters, and books in the fields of Cloud Computing, Artificial Intelligence, Data Analytics, Big Data, and Emerging Technologies.
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She has also published 2 patents and contributed to peer-reviewed and SCIE-indexed research works.
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Sustainable Digital Ecosystems through Data Cleanup
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Patent - Facial Emotion Recognition using Deep Learning in Python – Published, 2022
Area Of Specialization
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Blockchain Technology
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Cloud Computing
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Big Data Analytics
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Quantum Computing
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Digital Waste Management and Data Optimization