NEWS

Education:

• PhD. in Computer Science (2017) from Anna University, Chennai
• M.Tech. (CSE) (2005) in First Class with Distinction from National Institute of Technology, Tiruchirappalli
• B.E. (CSE) (1997), from Thiagarajar College of Engineering, Madurai Kamaraj University, Madurai.

Teaching Experience:  28 Years

• Associate Professor in SSN College of Engineering since 2017
• Assistant Professor in SSN College of Engineering from 2007 to 2016
• Worked in Sriram Engineering College from 1997 to 2006 as Lecturer, Senior Lecturer and Assistant Professor

Subjects Specialized (Teaching):

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

Recognition:

• Best Teacher award from SSN Institutions, 2013-2014
• Second Winner in 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

Organized Events:

Conducted various Workshops, Faculty Development Program, Pre-conference

Tutorial, Hackathon event & Outreach hands-on workshop program for Diploma

Students

Areas of Specialization (Research):

Distributed and Cloud computing, Cloud security, Big Data Analytics, Application of Machine & Deep Learning techniques in Image Processing, Blockchain Technology

Ph.D Supervisor Status  

Recognized Supervisor in Anna University to Guide Ph.D / M.S

Full-time & Part-time research Scholars

PhD Scholars

1.     Balaji A.S, Part-time, Anand Institute of Technology

Areas of Research:

Distributed Computing, Cloud Computing & Security, Big Data Analytics, Machine Learning, Deep Learning, Image processing, and Block Chain Technology

Selected Publications :

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) Thompson 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) Thompson 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) Thompson Reuter’s Impact Factor: 0.962.

Funded Projects:

• 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/-

Consultancy Works:

Consultancy Projects done for Caterpillar India, Chennai

2021-2022

Project: WebApp creation using WYSIWIG Editor (Builder.io)

Earned Amount: 1.56 Lakh

2018-2019

Project: An efficient algorithm for fast processing of Message Quadruples

Earned Amount: 1.87 Lakh

2016-2017

Project: Improved data transformation strategy for visualizing historical data

Earned Amount: 0.90 Lakh

2014-2015

Project: Benchmarking real-time query processing solutions in Hadoop

Status: Completed

Professional Bodies:

Life member of ISTE, Member of IEEE, ACM

Google Scholar :

https://scholar.google.co.in/citations?user=LoFC-wIAAAAJ&hl=en

LinkedIn :

https://www.linkedin.com/in/prabavathy-balasundaram-29b4371a/