Department

Department of Computer Science and Engineering

Total Experience (includes Teaching, Industry & Research)

10 years

Specialization/ Major areas of  Research

Machine Learning, Big Data, Deep Learning

Courses Handled

Machine Learning, Data Mining & Data warehousing, Data structures and Algorithm, Operating system, Computer organization and Architecture,Programming in Python, Programming in C


DegreeOrganization/InstitutionSpecializationYear of Passing
UGB.scComputer Science2000
PGMECSE2008
Ph.DVellore Institute of TechnologyMachine learning & Big Data Analytics2021

Publication Details 

  • Saco, A., Sundari, P. S., & Paul, A. (2022). An Optimized Data Analysis on a Real-Time Application of PEM Fuel Cell Design by Using Machine Learning Algorithms. Algorithms, 15(10), 346.. https://doi.org/10.3390/a15100346 (SCOPUS, IF:0.8) (Q2)
  • Sundari, P. S., & Subaji, M. (2021). A comparative study to recognize fake ratings in recommendation system using classification techniques. Intelligent Decision Technologies, 15(3), 443-450. DOI: 10.3233/IDT-200195 (IF-1.235) (Q3)
  • Sundari, P. S., & Subaji, M. (2022). An improved hidden behavioral pattern mining approach to enhance the performance of recommendation system in a big data environment. Journal of King Saud University-Computer and Information Sciences, 34(10), 8390-8400. https://doi.org/10.1016/j.jksuci.2020.09.010 (IF:13.473) (Q1)
  • Shanmuga Sundari,P.,Subaji.,(2020) Integrating Sentiment Analysis on hybrid Collaborative Filtering Method in a Big Data Environment. International Journal of Information Technology & Decision Making. Vol. 19, No. 02, pp. 385-412 (2020)(IF:2.82) https://doi.org/10.1142/S0219622020500108 (Q2).
  • Shanmuga Sundari, P., & Subaji, M. (2019). Aspect level sentiment analysis in deep learning technique using CNN.Journal of Advanced Research in Dynamical and Control Systems, 11(2 Special Issue), 262-270. (SCOPUS Indexed)
  • Shanmuga Sundari, P., Subaji, M., & Karthikeyan, J. (2017). A survey on effective similarity search models and techniques for big data processing in healthcare system. Research Journal of Pharmacy and Technology, 10(8), 2677-2684 (SCOPUS Indexed)
  • Shanmuga Sundari, P., & Subaji, M. (2016). Big data analytics in healthcare system for diverse perspectives. International Journal of Pharmacy and Technology, 8(3), 18430-18445 (SCOPUS Indexed)

International and National Conferences:

  • Kaliappan, J., Shreyansh, J., Shanmuga Sundari, P., & Singamsetti, M. S. (2019). Surveillance camera using face recognition for automatic attendance feeder and energy conservation in classroom. Paper presented at the Proceedings – International Conference on Vision Towards Emerging Trends in Communication and Networking, ViTECoN 2019. (SCOPUS Indexed)

Scientific Books Published

  •  Dr.P.Shanmuga Sundari, Dr.Seng Tong Chong and Dr.M.Prabu “ Outcomes of Best Practices in Classroom Research”, LOrdine Nuovo Publication, ISSN -978-93-92995-10-1, 2021
  • Dr Shanmuga Sundari P, Dr Mohammed Shamsul Hoque and Dr Roy Pushpavilasam Veettil,”ARTIFICIAL INTELLIGENCE AND VOICE ASSISTANTS”, DOI: https://doi.org/10.26524/royal.109, ISBN:9789391131296, 2022

BOOK CHAPTERS

  • Shanmuga Sundari, P. and Karthikeyan, J., 2022. Analysing Microsoft Teams as an Effective Online Collaborative Network Model Among Teaching and Learning Communities. In Pervasive Computing and Social Networking(pp. 243-254). Springer, Singapore.
  • Predicting genetic mutations among cancer patients by incorporating LSTM with word embedding techniques.In Machine Learning for Health Care systems. River Publisher. (Accepted on 12 Nov 2022)

Patents:

    1 Filed, 1 Published

  • Application No: 202241028120, “System and Method for Detecting Lung Cancer using Intelligent Image Pattern Recognition Technique” Published in IP Office Journal of the Indian Patent Office The Patent Office Journal No.22/2022 Publication Dated 03/06/2022,  33607,

 

  • Teaching Excellence Award for Outstanding teaching performance during academic year 2021-2022.
  • Exceptional contribution as an expert in “Smart India Hackathon” 2022.

Participated

  • International seminar on Unlocking Success: Strategies for crafting various research proposals and patent writing, organised by School of Computer Science and Engineering, VIT-AP University, Amaravati on 29th July 2023.
  • 16-day International Online Faculty Development Program on Teaching, Learning and Assessing in 2030”, June 6-23, 2023, organized by Department of Physics, SRM Institute of Science and Technology, Ramapuram Campus, Chennai
  • Five days Online Short-Term Course on “Advanced Python Programming” conducted by the Department of Computer Science and Engineering, NIT Warangal in association with CCE, NIT Warangal from 27-01-2023 to 31-01-2023
  • Attended training on Innovation Ambassador(IA) “Foundation Level” by MoE’s innovation Cell & AICTE during the IIC calendar year 2021-2022.
  • Attended Faculty Enablement Program (FEP) on Artificial Intelligence using Infosys Springboard platform from Nov 14th- Nov 18th, 2022.
  • Two days online FDP on “Revised Assessment and Accreditation Framework of NAAC : Understanding and Opportunities in HEI’s”” Department of Mechanical Engineering in Association with Internal Quality Assurance Cell (IQAC), Kongunadu College of Engineering and Technology,India from 28th  to 29th   March 2022.
  • Five days online FDP on “Deep Learning for NLP” organized by the Department of Computer Science and Engineering, Kongunadu College of Engineering and Technology India from 6th  to 7th   May 2022.
  • Five days online FDP on “Machine Learning Deep Learning and IoT drawn Smart Application (” organized by the Department of Computer Science and Engineering, National Institute of Technology, Andhra Pradesh ,India from 21st  to 25th   March 2022.
  • Five days online FDP on “Machine Learning” organized by the Department of Computer Science and Engineering, INDIAN INSTITUTE OF INFORMATION TECHNOLOGY DHARWAD.,India from 18th to 22nd  January 2021
  • Five days online FDP on “Social and Bio-Inspired Cyber Threat Intelligence Defense Systems “organized by the Department of Computer Science and Engineering, Sree Vidyanikethan Engineering College.,India from 23rd to 27th   January 2021.
  • Five days online FDP on “Deep learning for NLP” organized by the Department of Computer Science and Engineering, NIT Andhra Pradesh (NIT-AP),India from 23th to 27th November 2020.
  • Five days e-Workshop on “Mathematical and Statistical Methods for Machine Learning” organized by the Department of Mathematics and Scientific Computing, NIT Hamirpur (H.P),India from 7 th to 11th November 2020.
  • Five days Online short-term course on “Application of Machine Learning & Deep Learning in Engineering Problems” organized by the Department of Computer Science and Engineering, NIT Srinagar,J&K from 26th to 30th October 2020.

Organized

1. Program Title:  Fifteen-day international online STTP on Empowering the future:AI, Machine learning, deep learning for innovations and  transformation”

  Participants             : Faculty, Research scholar, Students

  Resource Persons   : Foreign Professor, Indian Experts from reputed institutions

   Date                          :  24th July 2023 to 9th August 2023

   Place                        :   Online

2.Program Title           :   Foreign Expert Guest Lecture on “Recent Advancement in Technologies”

   Participants              :   Engineering students

   Date                          :   30 September 2022

   Place                         :  Online

3.Program Title           :   Industry Expectation from young Engineers

   Participants              :   Engineering students

   Date                          :   5 June 2021

   Place                         :   Webinar

4.Program Title           :  Preparing for Better Tomorrow

   Participants              :   Engineering students

   Date                          :  17 October 2021

   Place                         :   Webinar.

5.Program Title            :  EX-CO 2021

   Participants               :  Engineering students

   Date                           :  4 December 2021

   Place                          : CSE Block, SVCET, Chittoor.

6.Program Title            :  Guest Lecture on “Data Science”

   Participants              :  Engineering students

   Date                          :  31 December 2021

   Place                         :  CSE Block, SVCET, Chittoor.

CONFERENCE CONDUCTED

  • Conducted Virtual National conference on “Voice Assistants- Future of Interaction” on 4th June 2022.
  • Conducted Virtual National conference on “Innovation in Engineering and Technology” on 8th January 2022

Academic Experience:

  • Assistant Professor , SRM Institute of Science & Technology, Tiruchirappalli, 8th May 2023 to till present.
  • Associate Professor , Sri Venkateswara College of Engineering and Technology ,Chittoor, Andhra Pradesh, From 2 Mar 2021 to 5th May 2023.
  • Assistant Professor , Sri Venkateswara College of Engineering and Technology ,Chittoor, Andhra Pradesh, From 18 Dec 2020 to 1st March 2021
  • Lecturer, M.A.M College of Engineering, Trichy, From 2-3- 2008 to 1-9-2009

Industry Experience:

  • Software Developer, PRATHMETIX Global Solutions, Chennai, From 3-6- 2003 to 25-1-2006.

Research Experience:

  • Assistant Professor(Junior), Vellore Institute of Technology, From June 2018 to 22 July 2020
  • Research Associate, Vellore Institute of Technology, From Dem 2014 to 22 July 2017.

 

  • ACM professional membership. MemberId: 0174945