Dr. B. Prabavathy-CSC-SSN

Dr. B. Prabavathy

B.E., M.Tech., Ph.D.

Associate Professor

Department Of Computer Science and Engineering

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  • PhD. in Computer Science from Anna University, Chennai.
  • M.Tech. (CSE) in First Class with Distinction from National Institute of Technology, Tiruchirappalli.
  • B.E. (CSE) , from Thiagarajar College of Engineering, Madurai Kamaraj University, Madurai.

Teaching Experience:  28 Years

  • Associate Professor in SSN College of Engineering since 2007
  • Earlier, worked in Sriram Engineering College as Assistant Professor

Subjects Specialized (Teaching):

  • Data Structures, Internet Programming, Compiler Design, Object Oriented Programming, Data Analytics, Machine Learning, Deep Learning

Research Interests:

  • Indian Sign Language Interpretation and Recognition, Machine Learning, Deep Learning, NLP, Image Processing, Generative AI, Computer Vision, Cloud Computing, Big Data Analytics. 

Shiv Nadar Foundation Collaboration Grant Winner (2024)

  • Recognized as a Distinguished Winner of the Shiv Nadar Foundation Inter-Institution Collaboration Grant 2024, worth 40 Lakhs. 
  • Project Title: "AI-DIDI: AI-generated Avatar for Digital Inclusion of Deaf Individuals"
  • Internal Funded Projects (Funded by SSN): Obtained fund of worth Rs. 3,17,000/- for both Student and Faculty funded projects, completed, and produced International Conference papers.
  • Faculty project fund of worth Rs. 2,67,000/-
  • Student project funds of worth around Rs. 50,000/-

BAFO - Bus Assist for Visually Impaired and Ophthalmologically Treatable Individuals, 202541007630.

Consultancy Projects done for Caterpillar India, Chennai

  • 2021–2022:
    • Project: WebApp Creation using WYSIWYG Editor (Builder.io)
    • Amount Earned: ₹1.56 Lakh
  • 2018–2019:
    • Project: An Efficient Algorithm for Fast Processing of Message Quadruples
    • Amount Earned: ₹1.87 Lakh
  • 2016–2017:
    • Project: Improved Data Transformation Strategy for Visualizing Historical Data
    • Amount Earned: ₹0.90 Lakh
  • 2014–2015:
    • Project: Benchmarking Real-time Query Processing Solutions in Hadoop
    • Status: Completed
  • Recipient of the Best Teacher Award, SSN Institutions (2013–2014)
  • Second Winner, iSIGCSE Teaching Video Challenge #1 by ACM India Special Interest Group on Computer Science Education (2021)
  • Shortlisted in the Top 1000 teams out of 15,337 in TNSDC - Naan Mudhalvan Niral Thiruvizha 2.0 Hackathon for the idea "Zoom++: An Inclusive Virtual Conferencing Tool for Continuous Indian Sign Language Recognition", submitted with final year UG students G. Gnana Sai and Aswath Venkatesh

Recognized Supervisor in Anna University to Guide Ph.D / M.S Full-time & Part-time research Scholars

Conducted various Workshops, Faculty Development Programs, Pre-Conference Tutorials, International Conference, Hackathon Events, and Outreach Hands-on Workshop Programs for Diploma Students.

2023-2024

Prabavathy Balasundaram, Pradeep Ganesh, Pravinkrishnan K, Rahul Kumar Mukesh, A Novel Technology Stack for Automated Road Quality Assessment Framework using Deep Learning Techniques, Emitter International Journal of Engineering and Technology, Vol. 12, No. 1, June 2024, pp. 62-89 (Web of Science) Emerging SCI. DOI : 10.24003/emitter.v12i1.837.

2022–2023

Prabavathy Balasundaram, Lekshmi Kalinathan, Anu Lekshmi K, An Improved Face Recognition Model for Image-based Attendance System (2022), Indian Journal of Natural Sciences, 13(75):50307–50316

Prabavathy Balasundaram, Lekshmi Kalinathan, Sushaanth Srinivasan, Sharvesh Shankar, W Angeline Hilda, A Novel Generalized Handwritten Character Recognition Model using Few-Shot Learning, Indian Journal of Natural Sciences, 13(75):50509–50518

Chaithanya A, Hariharan R, Harishkumar S, Prabavathy Balasundaram, Enhancing GraphQL Data Fetching Technique, International Journal of Computer Applications(2022), 184(20):1–6

2021–2022

Pravinkrishnan K, Prabavathy Balasundaram, Lekshmi Kalinathan, An Overview of Chatbots using ML algorithms in Agricultural Domain, International Journal of Computer Applications(2022), 184(14):15–22

2018–2019

Prabavathy Balasundaram, Chitra Babu, Pradeep Rengaswamy, A Distributed Load Balancing Algorithm for Deduplicated Storage, Turkish Journal of Electrical Engineering and Computer Sciences (2019), 27(5): 3994–4008 (Annexure I) Thomson Reuter’s Impact Factor: 0.587

2017–2018

Prabavathy Balasundaram, Chitra Babu, Concurrency Control Algorithms for Deduplicated Cloud Storage, Turkish Journal of Electrical Engineering and Computer Sciences (2018), 26(2): 936–947. (Annexure I) Thomson Reuter’s Impact Factor: 0.587

2016–2017

Prabavathy Balasundaram, Chitra Babu, Subha Devi M, Improving Read Throughput of Deduplicated Cloud Storage using Frequent Pattern-Based Prefetching Technique, The Computer Journal (2017), 60(3): 444–456. (Annexure I) Thomson Reuter’s Impact Factor: 0.962

  • Life Member, ISTE
  • Member, IEEE
  • Member, ACM