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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)

    International and National Conferences:


    • S. Prabu, “Enhancement of human and computer interaction task using SSR filter” in the International Conference on Recent Trends in Engineering and Technology, 13 and 14 March, 2014, Mount Zion College of Engineering & Technology, Pudukkottai.


    • S. Prabu, “Location based search queries with ultimate privacy preserving consideration” in the International Conference on Recent Advances and Innovatons in Engineering and Technology, 20th and 21st March, 2015, Ranganathan Engineering College, Coimbatore.


    • S. Prabu, “Extract and analyze exam result from server using Jsoup and HTML unit driver” in the International Conference on Innovations in Engineering Technology and Science, 13 and 14 March, 2018, K. Ramakrishnan College of Engineering, Trichy.


    • S. Prabu, “Automatic Product detection and smart billing for shopping using LIFI” in the International Conference on Information Science and Renewable Energy Sources, 07 and 08 March, 2019 at SCT, Namakkal.


    • S. Prabu, “Evaluating phishing website detection on client side” in the International Conference on Innovative Engineering Initiatives, 13 and 14 March, 2019 at SRM TRP, Trichy.


    • S. Prabu and K. Joseph Abraham Sundar, “A Comprehensive Survey on Image Feature Extraction Techniques” in International Conference on Artificial Intelligence & Smart Computing, 15-17 Oct, 2020, Bannari Amman Institute of Technology, Erode.


    • S. Prabu and K. Joseph Abraham Sundar, “A Comprehensive Study on Image Feature Extraction Techniques” in International Conference on Nonlinear Analysis and Optimization, 21-22 Dec, 2021 at Indian Institute of Technology (BHU), Varanasi.


    • S. Prabu, A. Tripathi, K. Kaur, M. M. Krishna, A. Bora and M. F. Hasan, “A Comprehensive Study of Internet of Things and Digital Business on the Economic Growth and its Impact on Human Resource Management”, in International Conference on Computing Sciences, Phagwara, India, 2021, pp. 91-94.  DOI: 10.1109/ICCS54944.2021.00026 (Scopus Indexed).


    • S. Prabu and K. Joseph Abraham Sundar, “Object Segmentation Based on the Integration of Adaptive K-means and GrabCut Algorithm”, in International Conference on Wireless Communications, Signal Processing and Networking, Chennai, India, 2022, pp. 213-216. DOI: 10.1109/WiSPNET54241.2022.9767099 (Scopus Indexed). 


    • S. Prabu, K. Joseph Abraham Sundar, N. Jawali, K. Sharvani, G. Shanmukhanjali, and V. Nirmala, “Indian Coin Detection and Recognition Using Deep Learning Algorithm”, in 6th Asian Conference on Artificial Intelligence Technology (ACAIT), Changzhou, China, 2022, pp. 1-6. DOI: 10.1109/ACAIT56212.2022.10137940 (Scopus Indexed).


    • V. Nirmala, K. Joseph Abraham Sundar, G. Aiswarya, N. Sai Sidhartha, S. Prabu, “Automated Template Matching for External Thread Surface Defects with Image Processing”, in 5th IEEE International Conference on Electrical, Computer and Communication Technologies, Erode, India, 2023, pp. 1-6. DOI: 10.1109/ICECCT56650.2023.10179653 (Scopus Indexed).


    • V. Nirmala, S. Ramakrishnan, R. Aadharsh, V. Shivnarayan, B. Visveswaran, S. Prabu, “Micro Level Dimensionality Measurement for Product Inspection using Machine Vision”, in 5th IEEE International Conference on Electrical, Computer and Communication Technologies, Erode, India, 2023, pp. 1-5. DOI: 10.1109/ICECCT56650.2023.10179782 (Scopus Indexed).


    • M. Sumathi, S. Prabu, and M. Rajkamal “Cricket Player Performance Prediction and Evaluation using ML Algorithms”, in 1st IEEE International Conference on Networking and Communications, Chennai, India, 2023, pp. 1-6. DOI: 10.1109/ICNWC57852.2023.10127503 (Scopus Indexed).

    • S. Prabu, M. Sumathi, and M. Rajkamal, “Academic Information Storage and Verification using Blockchain Technologies”, in 1st IEEE International Conference on Networking and Communications, Chennai, India, 2023, pp. 1-7. DOI: 10.1109/ICNWC57852.2023.10127235 (Scopus Indexed).


    • S. Prabu, Akshaj Nevgi, C.Gunasundari, Sowrish VK, Natarajan B, and S. Sharon Jessika, “Enhancing Text Detection in Natural Scenes: A Hybrid Approach with MSER, Connected Components, and Norm-CLAHE”, in 3rd Int. Conference on Mobile Networks and Wireless Communications, Tumakuru, India, 2023, pp. 1-6. DOI: 10.1109/ICMNWC60182.2023.10435945 (Scopus Indexed).


    • S. Prabu, A. Padmavathi, R. Bhuvaneswari, B. Natarajan, Roshan George,  and S. Syed Husain, “Capturing the Essence: Exploring Cutting-Edge Feature Extraction Methods in Digital Image Processing”, in 3rd International Conference on Mobile Networks and Wireless Communications, Tumakuru, India, 2023, pp. 1-5.  DOI: 10.1109/ICMNWC60182.2023.10435774  (Scopus Indexed).


    • Shreya Sivakumar, S Priyanka, and S. Prabu, “Enhancing Personality Type Prediction with Ensemble Models: A Robust Predictive Approach”, in 3rd International Conference on Innovative Computing, Intelligent Communication and Smart Electrical Systems, Chennai, India, 2023, pp. 1-7. DOI: 10.1109/ICSES60034.2023.10465452 (Scopus Indexed).


    • Varshinidevi I, B. Natarajan, S. Prabu, R. Bhuvaneswari and R. Annamalai, “Automated Stock Trading using Reinforcement Learning,” in Int. Conference on Integrated Intelligence and Communication Sys., Kalaburagi, India, 2023, pp. 1-6. DOI: 10.1109/ICIICS59993.2023.10421071 (Scopus Indexed).


    • Prabu Selvam, Sumathi M, Varun Maniappan, R.Dharani, B Natarajan, and S Syed Husain, “Revolutionizing Scene Text Recognition: Unleashing the Power of Dual Step Attention Mechanism in the Encoder” International Conference on Recent Innovations in Computing, ELTE, Hungary, 21st and 22nd December, 2023. (Scopus Indexed)


    • Sharon K V, Natarajan B, P. Madhumitha, M Tamilselvi, Prabu Selvam, S Syed Husain, “A Novel Approach for Driver Drowsiness Detection using Deep Neural Networks,” in International Conference for Women in Innovation, Technology and Entrepreneurship, Bangalore, India, 2024, pp. 554-559. DOI: 10.1109/ICWITE59797.2024.10503519 (Scopus Indexed).


    • G.V.Krishna Kumar, Prabu Selvam, B.Natarajan, S.Gayathri Devi, R.Dharani and N.R.Nagarajan, “Enhancing Stock Price Predictions through LSTM-based Recurrent Neural Networks,” 2nd International Conference on Integrated Circuits and Communication Systems, Raichur, India, 2024, pp. 1-6. DOI: 10.1109/ICICACS60521.2024.10499021 (Scopus Indexed).


    • S Priyanka, Shreya Sivakumar, and S. Prabu, “Optimizing Breast Cancer Detection: Machine Learning for Pectoral Muscle Segmentation in Mammograms”, 2nd International Conference on Integrated Circuits and Communication Systems, Raichur, India, 2024, pp. 1-6. DOI: 10.1109/ICICACS60521.2024.10498969 (Scopus Indexed).


    • Kumar Laxmikant, B Natarajan, Arthi A, R Bhuvaneswari, V Vinodhini, and Prabu Selvam “Deep Convolutional Neural Networks for Early Stage Detection and Prognostication of Lung and Colon Cancer”, 2nd International Conference on Integrated Circuits and Communication Systems, Raichur, India, 2024, pp. 1-6. DOI: 10.1109/ICICACS60521.2024.10499027 (Scopus Indexed). 


    • Prabu Selvam, P. Saravanan, M. Marimuthu, M. R. Nithya, V. Sathiyapriya, and V. NareenHarsha, “PSDNet: A Breakthrough Parking Space Detection Network Powered by YOLOv8”, International Conference on Advances in Computing, Communication and Applied Informatics, 2024, pp. 1-7. DOI: 10.1109/ACCAI61061.2024.10602434 (Scopus Indexed).


    • Shreya Sivakumar and Prabu Selvam, “Predicting Pet Photo Pawpularity: A Deep Learning Approach on PetFinder.my”, International Conference on Information Technology, Electronics and Intelligent Communication Systems, 28th & 29th June 2024, Bengaluru, India. (Scopus Indexed).


    • S Priyanka and Prabu Selvam, “Enhancing Ophthalmic Diagnostics: A New Horizon for OCT Retinal Analysis”, IEEE 2024 Asia Pacific Conference on Innovation in Technology (APCIT), 26th & 27th July 2024, Mysore, India. (Scopus Indexed).


    • Sudeesh Kumar V, B.Natarajan, Murali P, Prabu Selvam, Venkatraman K, N.R.Nagarajan, “Predictive Modeling for Cirrhosis Diagnosis: A Machine Learning Exploration”, International Conference on Electronics, Computing, Communication & Control technology- 2024, pp. 1-6. DOI: 10.1109/ICECCC61767.2024.10593912 (Scopus Indexed).

    Scientific Books Published


    • S. Prabu and K. Joseph Abraham Sundar, “Real-Time Pill Detection and Recognition Framework Based on Deep Learning Algorithm”, in Advancement, Opportunities, and Practices in Telehealth Technology, IGI Global, 2022, pp. 117-137. DOI: 10.4018/978-1-6684-5231-8.ch007


    • S. Prabu and K. Joseph Abraham Sundar, “DocPresRec: Doctor’s Handwritten Prescription Recognition using Deep Learning Algorithm”, in Artificial Intelligence in Telemedicine: Processing of Biosignals and medical images, CRC Press, Taylor & Francis Group, 2023, pp. 33-48. DOI: 10.1201/9781003307778-4 


    • S. Prabu and K. Joseph Abraham Sundar, “A deep learning framework for surgery action recognition”, in Deep Learning in Personalized Healthcare and Decision, Elsevier, 2022, pp. 315-328. DOI: 10.1016/b978-0-443-19413-9.00008-4


    • B. Swaminathan, S. Prabu, A.S.K. Joseph, & S. Vairavasundaram, “Improved YOLOv5 with Attention Mechanism for Real-Time Weed Detection in the Paddy Field: A Deep Learning Approach,” In Intelligent Data Analytics, IoT, and Blockchain, CRC Press, Taylor, & Francis Group, 2023, pp. 326-341. DOI: 10.1201/9781003371380-30


    • Prabu Selvam, Sumathi M, Marimuthu M, and Saravanan P, “MPPEDet: Medical Personal Protective Equipment Detection Using Deep Learning Algorithm”, Industry 5.0 for Smart Healthcare Technologies:  Utilizing Artificial Intelligence,  Internet of Medical Things and Blockchain, CRC Press, Taylor & Francis Group, pp. 187-204, 2024. (ISBN 9781032632223)


    • Prabu Selvam, Sumathi M, Saravanan P, and Marimuthu M, “TransADD: Transformer based Network for Alzheimer’s Disease Detection Using Brain MRI Images”, Industry 5.0 for Smart Healthcare Technologies:  Utilizing Artificial Intelligence,  Internet of Medical Things and Blockchain, CRC Press, Taylor & Francis Group, pp. 135-152, 2023. (ISBN 9781032632223)

  • 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