Dr.Prabu S

Assistant Professor

Computer Science and Engineering

+91-8610629734

prabu.s@ist.srmtrichy.edu.in prabus2@srmist.edu.in

Total Experience 

Area of intErest

  • Computer Vision
  • Deep Learning
  • Image Processing and Pattern Recognition

12 Teaching

course handled

  • Data Structures, 
  • Design and Analysis of Algorithms, 
  • Python Programming,
  • C Programming, 
  • Software Engineering.


Education Details

  • Publication details

    S. Prabu and M. Sumathi, “Evaluating phishing website detection on client side” in International Journal of Engineering and Advanced Technology, vol. 8(6), 2019, pp. 18-22. DOI: 10.35940/ijeat.E7396.088619 (Scopus)


    • M. Sumathi and S. Prabu, “Random forest based classification of user data and access protection” in International Journal of Engineering and Advanced Technology, vol. 8(1), 2019, pp. 1630-1635. DOI: 10.35940/ijeat. A9266058119 (Scopus)


    • S. Prabu and K. Joseph Abraham Sundar, “Enhanced Attention-Based Encoder-Decoder Framework for Text Recognition”, Intelligent Automation and Soft Computing, vol. 35, no. 2, 2022, pp. 2071–2086. DOI: 10.32604/iasc.2023.029105 SCI-E (IF – 3.401)


    • S. Prabu and K. Joseph Abraham Sundar, “A Deep Learning Framework for Grocery Product Detection and Recognition”, Food Analytical Methods, vol. 15, 2022, pp. 3498–3522. DOI: 10.1007/s12161-022-02384-2 SCI-E (IF – 3.56)


    • S. Prabu, K. Joseph Abraham Sundar, M. Alharbi, A. Mehbodniya, J. L. Webber, and S. Sengan, “A Transformer-Based Framework for Scene Text Recognition,” IEEE Access, vol. 10, pp. 100895-100910, 2022. DOI: 10.1109/access.2022.3207469 SCI-E (IF – 3.24)


    • Prabu Selvam, Muhammad Faheem, Vidyabharathi Dakshinamurthi, Akshaj Nevgi, R Bhuvaneswari, K Deepak, and Joseph Abraham Sundar, “Batch Normalization Free Rigorous Feature Flow Neural Network for Grocery Product Recognition”, IEEE Access. vol. 12, pp. 68364-68381, 2024. SCI-E (IF – 3.24) DOI: 10.1109/ACCESS.2024.3400844


    • Lalit Kumar Sharma, Meena Rao, Prabu Selvam, and Anand Muley, “Role of E-CRM in effectiveness of Strategic Marketing Planning for customer Retention: An Empirical Study”, African Journal of Biological Sciences (South Africa), vol. 6, issue 6, pp. 1600-1609, 2024. DOI: 10.33472/AFJBS.6.6.2024.1600-1609 (Scopus)


    • S. Prabu, P. Saravanan and M. Marimuthu, “STRTrans: An Accurate Scene Text Recognition Based on Improved Transformer Network,” Journal of Autonomous Intelligence, vol. 7, no. 5, 2024, pp. 1-13. DOI: 10.32629/jai.v7i5.1334 (Scopus)

  • Awards and Achievements

    • Participated and Awarded 1st place in programming contest in 6th state level ISTE event, Banglore.


    • Won Best Paper Award for the paper entitled “Deep Convolutional Neural Networks for Early Stage Detection and Prognostication of Lung and Colon Cancer”, 2nd International Conference on Integrated Circuits and Communication Systems (ICICACS - 2024), 23 Feb 2024, Raichur, India.

  • Workshops / Seminars

    Participated


    • Refresher course on “Examination Reformations” at SRMIST (online mode) during 6-13 May, 2020.


    • FDP on “Dynamic Teacher” on 22nd & 23rd July 2013, in Mount Zion College of Engineering & Technology, Pudukkottai.


    • One day FDP on “Introduction to People Empowering People” on 12th December 2014, conducted by ICTACT.


    • Two week ISTE workshop on “Computer Programming” from 20th May 2014 to 21st June 2014, conducted by IIT, Bombay.


    • Two week ISTE workshop on “Computer Networking” from 28th May 2014 to 5th July 2014, conducted by IIT, Bombay.


    • Two week ISTE workshop on “Introduction to Design of Algorithms” from 27th April 2015 to 30th May 2015, conducted by IIT, Kharagpur.


    • Two day Faculty development programme on “Python Programming” from 24th June 2017 and 25th June 2017, K. Ramakrishnan College of Engineering, Trichy.


    • Two day faculty development programme on “Dive into Python” from 14th December 2017 and 15th December 2017, K. Ramakrishnan College of Engineering, Trichy.


    • One week faculty development programme on “Data Mining and Warehousing” from 01st November 2017 and 10th November 2017, K. Ramakrishnan College of Technology, Trichy.


    • Two day faculty development programme on “FDP on IoT” from 20th December 2017 and 21st December 2017, K. Ramakrishnan College of Engineering, Trichy.


    • Two day workshop on “Machine Learning using Tensorflow with keras” from 22nd & 23rd November 2018, St. Joseph's Institute of Technology, Chennai.


    • Two week faculty development programme on “5G Theory to Practice and its Applications” from 11th June 2019 to 24th June 2019, Eswari Engineering College, Chennai.

  • Work Experience

    Academic Experience:


    • Assistant Professor, Department of Computer Science and Engineering, SRM Institute of Science & Technology, Tiruchirapalli (June 2024 - Tillnow).


    • Assistant Professor – Senior Grade – I, School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, (August 2023 – June 2024).


    • Research Assistant, School of Computing, SASTRA Deemed University, Thanjavur, (Jan 2020 – May 2023).


    • Assistant Professor, Department of Computer Science and Engineering, K. Ramakrishnan College of Engineering, Tiruchirappalli, (June 2017 to Jan 2020).


    • Assistant Professor, Department of Computer Science and Engineering, Mount Zion College of Engineering & Technology, Pudukkottai, (July 2013 to Dec 2016).

  • Memberships

    • IEEE Member

  • Funded Projects

    NIL