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Mrs. V. INDRANI


Qualification B.Tech(CSE), M.Tech(CSE)(PhD)
Institution Joining Date 17-01-2024
E-mail Id hod.csd@nnrg.edu.in
Teaching Experience 19 Years
Area of Specialization Cloud Computing

Mrs. V. Indrani has over 19 years of professional experience, including 15 years in teaching and 3 years in research, specializing in Cloud Computing, Machine Learning, and Network Security. She has served in reputed institutions and is currently an Associate Professor and HOD Data Science at Nalla Narasimha Reddy Engineering College, Hyderabad from Nov 2024 to till date. She has previously held the position of Head of the Department (CSE) at Vignan’s Institute of Management & Technology for Women, Hyderabad.


She has published 20 research papers in reputed journals and conferences, including Springer, Scopus, and IEEE. She is also a reviewer for international journals and conferences, a board member of MC Engineering Themes Journal, and holds a patent in IoT Malware Analysis with Deep Learning.


Academic Qualifications
  • Pursuing Ph.D. in Computer Science, University of Hyderabad (since 2020).
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  • M.Tech (CSE), Andhra University College of Engineering, Visakhapatnam.
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  • B.Tech (CSE), Mother Theresa Institute of Science & Technology (JNTU).
Research & Publications
  • Published 20 research papers (Springer, Scopus, IEEE, UGC).
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  • Topics include Kubernetes Load Balancing, Pod Migration, Cloud Security, NLP, and AI-driven Analytics
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  • Notable publications in Springer Lecture Notes in Networks and Systems, IEEE Conferences, and reputed international journals.
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Professional Achievements
  • Patent Holder: IoT Malware Analysis System with Deep Learning Approach.
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  • Reviewer for IEEE International Conferences (CVMI, Emerging Technologies, etc.).
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  • Awarded Best Faculty Award at Vignan’s Institute of Science and Technology (2008)..
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  • 100% student feedback with consistently high academic results.
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  • Recognized by the Ministry of Affairs for mentoring students in coding and hackathons.
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Areas of Expertise
  • Cloud Computing, Kubernetes & Docker.
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  • Machine Learning & Deep Learning Applications
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  • Computer Networks & Network Security
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  • Web and Social Media Analytics (WSMA).
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Professional Engagements
  • Board Member – MC Engineering Themes (ISSN: 2834-7218).
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  • Reviewer – IEEE & Springer International Conferences.
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  • Mentor – Hackathons and student innovation programs.
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  • Subject Matter Expert – TCS iON (since 2020).
Subjects Taught
  • Programming Languages like C, DS, Java, OOPs, Cloud Computing.
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  • Computer Networks & Organization.
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  • Web and Social Media Analytics.
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  • Natural Language Processing.