Manjula Seenivasan
VIDWAN ID: 168521

Mrs Manjula Seenivasan

Female Master of Technology
Assistant Professor (Senior Grade) | Department of Computer Science and Engineering
RAMCO INSTITUTE OF TECHNOLOGY
TAMILNADU
Expertise: Computer Science Information Systems
4 Publications
2 Projects
17 Scopus Citations
13 CrossRef
9 Years 3 Months Total Experience
Publications
4 Total
Articles
2
Chapters
1
Proceedings
1
Activity

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Scopus Scopus
17 Citations
3 h-index
CrossRef CrossRef
13 Citations
2 h-index
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Professional Recognition

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Community & Membership

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Indian Society for Technical Education
Life Member
Jan 2017

Personal Details

Master of Technology
2016
Sultan Qaboos University, Muscat
Assistant Professor (Senior Grade)
Jan 2023 – Present
RAMCO INSTITUTE OF TECHNOLOGY | Department of Computer Science and Engineering
Assistant Professor
Jun 2017 – Jan 2023
RAMCO INSTITUTE OF TECHNOLOGY | Department of Computer Science and Engineering
Engineering and Technology
Computer Science Information Systems

Related Profiles

Scholarly Work

TRAFFIC MANAGEMENT THROUGH VEHICLE COUNTING IN REAL TIME FOR INDIAN ROADS
Completed
Role: Other Grant: ES-0819
Detection of Speed Breakers in Real Time for Indian Roads
Completed
Role: Other Grant: CSE-1256
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Scholarly Publications

Investigating the dielectric and ferroelectric properties of (Bi4Ti3O12)0.4–(CaCu3Ti4O12)0.6 nanocomposite ceramics, thin films and thick films for microwave and microelectronic applications

Journal Article
Journal of Alloys and Compounds. Year: 2024. Volume: 994 .
Authors: P. Thiruramanathan; N. Karthikeyan; R. Srinivasan; S. Manjula; K. Selvakumar

Data division using Fuzzy Logic and Blockchain for data security in cyber space

Open Access
Conference Paper
Procedia Computer Science. Year: 2022. Volume: 215 , Pages: 452-460 .
Authors: Manjula Seenivasan; Valarmathi Krishnasamy; Swarna Sudha Muppudathi

Enhancing manufacturing efficiency: leveraging CRM data with Lean-based DL approach for early failure detection

Open Access
Journal Article
Bulletin of Electrical Engineering and Informatics. Year: 2025. Volume: 14 , Issue: 3 , Pages: 2319-2329 .
Authors: Kalluri, V.S.; Malineni, S.C.; Seenivasan, M.; Sakkarai, J.; Kumar, D.; Ananthan, B.

Machine learning models for Alzheimer's disease detection: An in-depth exploration, including deep learning approaches

Book Chapter
Year: 2024. Pages: 276-292 .
Authors: Bharathi, I.; Swarnasudha, M.; Manjula, S.; Poornima, I.G.A.