SCSVMV Deemed to be University

श्रीचन्द्रशेखरेन्द्रसरस्वतीविश्वमहाविद्यालयः
Sri Chandrasekharendra Saraswathi Viswa Mahavidyalaya

Admission 2026 - 27

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Admission 2026 - 27

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Dr.U.Vageeswari

Vageeswari photo

Dr.U.Vageeswari

Assistant Professor  

Email : uvageeswari@kanchiuniv.ac.in

Mrs.U.Vageeswari

M.C.A., M.Phil., Ph.D., NET

Area of Interest: Data Base Management System, Programming Languages, Natural Language Processing

Teaching:

Data Science, Digital Principles and its Applications, C# and .NET Framework, Programming in C

Publications:

Patent:

  1. Title of the invention: “Pattern Identified Summarization System Using TF-IDF” Name of Inventors: Dr. B.Lavanya and U.Vageeswari Application No.202341002527 A Publication Date: 03/02/2023

  2. Title of the invention: “Domain-Specific Graph-Based Summarization System Using Latent Dirichlet Allocation” Name of Inventors: Dr. B.Lavanya and U.Vageeswari Application 202341040727 Publication Date: 29/09/2023

    Journals:

    1. Vageeswari, B. Lavanya. ” Extractive Summarization methods on Text Documents – A Performance Analysis” in Shodha Samhita: Journal of Fundamental & Comparative Research. Vol: XXIII, No:22, 2022.
    2. Vageeswari, B. Lavanya. “Efficiency evaluation of Transformer-based Abstractive Summarization models on NEWS dataset” in RABINDRA BHARATI JOURNAL OF PHILOSOPHY Vol: XXIII, No:22, 2022.
    3. Lavanya,U.Vageeswari ”DES: Domain Expert Summarization Using LDA” in Journal of Data Acquisition and Processing. ISSN: 1004-9037 DOI: 10.5281/zenodo.7688572.

     

    1. Lavanya, B., and U. Vageeswari. “Latent Dirichlet Allocation, Vocabulary Handler, and Domain Knowledge-Based Framework for Text classification.” Nanotechnology Perceptions.

     

    1. Lavanya,U.Vageeswari ”An Intensified text clustering algorithm for Noisy Big Data: Haphazardly Dense Clustering with more Noise (HDCN)” in African Journal of Biological Sciences Volume6, Issue 6, June 2024 P ISSN: 2663-2187.

     

    1. Lavanya,U.Vageeswari ”Feature Based Extractive Summarization (FBES) technique for long text documents” Theoretical Computer Science (2023): Bulletin of Pure and Applied Sciences Zoology (Animal Science), Vol.43B, No.2S,  July-December 2024: P. 443-448.

     

    Proceedings:

    1. B and Vageeswari.U, An assortment of Query Based Summarization technique (QBS) – A Study (April 24, 2021). Proceedings of the International Conference on Innovative Computing and Communication (ICICC) 2021, organized by the University of Delhi and University Of Valladolid Spain, Available at SSRN: https://ssrn.com/abstract=3833295 or http://dx.doi.org/10.2139/ssrn.3833295

     

    1. B, Vageeswari, U. (2023). A Machine Learning Framework for Document Classification by Topic Recognition Using Latent Dirichlet Allocation and Domain Knowledge. In: International Conference on Innovative Computing and Communications. Lecture Notes in Networks and Systems, vol 473. Springer, Singapore.organized by University of Delhi and University of Valladolid Spain, https://doi.org/10.1007/978-981-19- 2821-5 42

     

     

    1. Vageeswari, B.Lavanya ” Extractive Summarization methods on Text Documents – A Performance Analysis” in International E-Conference on Scientific Research in Multidisciplinary Approach (ICSRMA) Proceedings organized by SRM arts and Science College. ISBN: 978-81-956681-0-6 (Page no: 103)

     

    1. Vageeswari, B.Lavanya “Efficiency evaluation of Transformer-based Abstractive Summarization models on NEWS dataset” in International Conference on Recent Revolutions in Mathematics, Computer Science and Applications(ICRRMCSA’22) proceedings organised by AgurchandManmull Jain College. (Page No: 191 – 196)

     

    1. Lavanya, Vageeswari, U “DES: Domain Expert Summarization for Extractive Summarization Using LDA” in Proceedings for the International Conference on Recent Trends in Computing, Communication, and Information Technology. Organised by Sri Ramakrishna Engineering College, ISBN: 978-93-91977-09-2

     

    1. Lavanya B, Vageeswari U, and Sasipriya G, “A Novel Strategy to Assess and Evaluate the Performance of Candidates in Online Teaching Learning Platforms Using Machine Learning Models”, Presented in INTERNATIONAL CONFERENCE ON “EMERGING TRENDS IN ONLINE TEACHING, ASSESSMENT, and LEARNING” (eTOTAL) FEBRUARY 24 & 25, 2023 Organized by State Project Directorate RashtriyaUchchatar Shiksha Abhiyan, Tamil Nadu.

     

    1. Lavanya, U.Vageeswari “Feature Based Extractive Summarization (FBES) Technique forLong Text Documents” in International Conference on Information, System and Convergence Applications organised by ICISCA 2024 – India, ISBN : 978-81-972363-3-4

Others:

  1. FDP on “Emerging Computing Technologies”, hosted by SCSVMV university, July 2025
  2. FDP on “Microsoft Power BI Data Analyst”, hosted by SRM , Dec 2024
  3. FDP on “Recent trends in computational Intelligence”, hosted by Bon Secours College for Women, Feb 2022.
  4. FDP on “Latex Writing” hosted by Calcutta Institute of Technology, June 2020
  5. FDP on AI & its Applications, hosted by EDuxLABS, May 2020

About Placement and Training Divison

Every student comes with an aspiration for a flying career. The training and placement division work to support the student’s aspirations with an aim to guide them to start building a career and not just an employment.

Career Planning is a complex process and when multiple opportunities are in front of the final year students, it’s become difficult for them to identify the best suited opportunity. The Training & Placement Division understand this and conducts various programmes and support services to meet the needs of students towards their professional development. The division works with the students and for the students in their career planning process.

The placement division acts as a bridge among the students, academic departments and industries. We start with conducting career guidance and counseling sessions with industry experts so that students could understand and define their career aspirations. This would help us to understand their career needs and to connect them for the required training & up-skilling sessions.

Today, there is no scarcity for knowledge-centers but choosing the right place to up-skill is the key to succeed and we ensure that we connects the students with best resource centers in the market. We train the students from their II year onwards with Soft Skill & English Communications in the 3rd and 4th semester respectively. In the III year, students are trained in Aptitude skills. These skill sets are compulsory for students who aspire to qualify for campus placements, competitive exams and much more. Our in-house faculty will handle these training programmes with diligent.

We connect the students with multiple resources for them to perceive, possess, prepare, practice, perform and prosper.

Many say knowledge is power, but it is equally true that applied knowledge is the real power. We encourage students to take up internships, industry certifications, to take-up career assessments, to participate in hackathons, tech. contests and other skill development activities. Students also have access to learn foreign languages as open electives. These add-ons would increase their knowledge and skill-set; which would fetch the best opportunities for them to start their career.

Preparation + Opportunity = Success. Our motto is to guide the students to prepare for their career and to support them with opportunities. If the students are prepared, they can easily grab the opportunity and shine.

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