Dr.Prabu S

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
List of Scopus Indexed Publications:
• 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
• 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
• 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
• 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
• Prabu Selvam, P. Saravanan, S. Palanisamy, L. Umate and R. Saminathan, “Improving insulation performance with woven flax/PP hybrid composite reinforced by synthetic alumina and aluminum trihydrate,” Interactions, 245, 2024, pp. 1-16. DOI: 10.1007/s10751-024-02121-7
• Prabu Selvam, Venkata Harshavardhan, R. Dornadula, Pranjali Madhur, Poornima U Kotehal, “Application of Artificial Intelligence in Business Operations and its impact on Organisational Performance: An Empirical Study”, African Journal of Biological Sciences (South Africa), vol.6, no. 6, 2024, pp. 6812-6820. DOI: 10.33472/AFJBS.6.6.2024.6812-6820
• Prabu Selvam, P. Karthikeyan, S. Manochitra, A. V. L. N. Sujith, T. Ganesan, Rajaram Ayyasamy, Mohammed Shuaib, Shadab Alam, and A. Rajendran, “Federated learning‑based hybrid convolutional recurrent neural network for multi‑class intrusion detection in IoT networks”, Discover Internet of Things, 5, 39, 2025. DOI: 10.1007/s43926-025-00130-8
• M. Rajkamal, D. Swathi, S. Prabu, P. Mohanapriya, and M. Sumathi, “Enhanced Cyber Physical Security Based Automatic Generation Control with Renewable Energy System”, Annals of the Romanian Society for Cell Biology, vol. 25, no. 4, pp. 15915-15925, 2021.
• S. Prabu, A. Arthi, B. Natarajan, V. Deepak, and S. Syed Husain, “An Android-Based Water Quality Monitoring System and Alerting Through SMS”, Turkish Online Journal of Qualitative Inquiry, vol. 12, no. 3, pp. 150-170, 2021.
• M. Rajkamal, M. Sumathi, N. Vijayaraj, S. Prabu, and G. Uganya, “Sensitive Data Identification and Protection in a Structured and Unstructured Data in Cloud Based Storage”, Annals of the Romanian Society for Cell Biology, vol. 25, no. 2, pp. 1157-1166, 2021.
List of WoS (ESCI)/SCI/SCI-E Publications:
• 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 – 3.4)
• 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. DOI: 10.1109/ACCESS.2024.3400844 SCI-E (IF – 3.4)
• G. Jerald Prasath, S. Prabu, V. Valli Mayil, and Sumit Saini, “Optimized Double Transformer Residual Super-resolution Network-based X-ray Images Processing for Classification of Pneumonia Identification,” Knowledge-Based Systems, vol. 311, pp. 1-11, 2025. DOI: 10.1016/j.knosys.2025.113037 (SCI-E) (IF – 7.2)
• Prabu Selvam, N. Krishnamoorthy, S. Praveen Kumar, K. Lokeshwaran, Madineni Lokesh, Maganti Syamala, and R. G. Vidhya, “IoT integrated Deep Learning Algorithms Monitoring and Predicting Abnormalities in Agriculture Land”, Internet Technology Letters. DOI: 10.1002/itl2.607 SCI-E (IF – 0.9)
• A. Rajendra Prasad, Ashwin Sailesh, Prabu Selvam, Supriya Menon M, U. Rajesh Kumar, P. Nantha kumar, Jayarama Pradeep, G. Nixon Samuel Vijayakumar, Jennifer D, “Water Absorption and Mechanical Behaviour of Bagasse Fibre and Particle-Reinforced Hybrid Composite Materials,” Journal of Polymer and Composites, 13(01), pp. 115-124, 2024. SCI-E (IF – 0.9)
• Prabu Selvam, P. Shanmuga Sundari, T. Suresh, M.Tamilselvi, M. Murugappan, and Muhammad E. H. Chowdhury, “YOLO-SAIL: Attention-Enhanced YOLOv5 with Optimized Bi-FPN for Ship Target Detection in SAR Images”, IEEE Access, 13, pp. 29523-29540, 2025. DOI: 10.1109/ACCESS.2025.3536621 SCI-E (IF – 3.4)
• Prabu Selvam, S. N. Kumar, and S. Kannadhasan, “An Adaptive Multi-Head Self-Attention Coupled with Attention Filtered LSTM for Advanced Scene Text Recognition”, International Journal on Document Analysis and Recognition (IJDAR), 2025. DOI: 10.1007/s10032-025-00523-z (SCI-E) (IF – 1.8)
List of Book Chapters Publications:
• 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. DOI: 10.1201/9781032632223-16
• 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, 2024. DOI: 10.1201/9781032632223-12
• S. Prabu, M. Sumathi, and B. Natarajan, “Advancements in Automated Multi-class Weed Management Using Enhanced YOLOv8 Object Detection Algorithm”, Digital Farming and Smart Agriculture for Sustainable Future, CRC Press Taylor, & Francis Group. DOI: 10.1201/9781003479154-7
• Prabu Selvam, Sudharson S, and Senthil Prakash PN, “STN-DRN: Integrating Spatial Transformer Network with Deep Residual Network for Multi-Class Classification of Alzheimer’s Disease”, Computational Intelligence Algorithms for the Diagnosis of Neurological Disorders, CRC Press, Taylor & Francis Group. ISBN: 9781032858906
• S.N Kumar, Prabu Selvam, Jomin Joy, Nicole Rakov, and Alan James, “Leveraging Technology for Healthcare Transformation: Telemedicine and Remote Health Monitoring”, Ambient Assisted Living Technologies: Transitioning from Healthcare 4.0 to Healthcare 5.0, CRC Press Taylor, & Francis Group. DOI: 10.1201/9781003520184-15
Awards and Achievements
Awards:
• Participated and awarded 1st place in programming contest in 6th state level ISTE event.
• Participated and awarded 1st prize in that contest in 3rd inter college project exhibition.
• Won Best Presenter 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), 23rd Feb 2024, Raichur, India.
• Won Silver Medal on Research Day 2025 for the title “Real-Time chain snatching detection and tracking system using computer vision and IoT technologies” in SRMIST, Kattankulathur.
Honors:
• Session Chair in IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems, from 28th to 29th June 2024 at Vemana Institute of Technology, Bengaluru.
• Session Chair in Third IEEE Sponsored International Conference on Electrical, Electronics, Information and Communication Technologies, from 24th to 26th July 2024 at K. Ramakrishnan College of Engineering, Tiruchirappalli, Tamil Nadu.
• Session Chair in International Conference on Recent Trends in Artificial Intelligence, Cyber Security and Embedded Systems, from 19th to 20th Sept. 2024 at K. Ramakrishnan College of Engineering, Tiruchirappalli, Tamil Nadu.
Workshops / Seminars
FDPs/Workshops Attended:
• Two day course 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 Dec. 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.
List of National/International 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 (IEEE)
• 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 (IEEE)
• 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 (IEEE)
• 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 (IEEE)
• 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 (IEEE)
• 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 (IEEE)
• 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 (IEEE)
• 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 (IEEE)
• 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 (IEEE)
• 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 (IEEE)
• 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 (IEEE)
• 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, Lecture Notes in Electrical Engineering, vol 1195, 2024, pp. 891–905. DOI: 10.1007/978-981-97-3442-9_63 (Springer)
• 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 (IEEE)
• 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 (IEEE)
• 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 (IEEE)
• 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 (IEEE)
• 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 (IEEE)
• 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, Bengaluru, India, 2024, pp. 1-6. DOI: 10.1109/ICITEICS61368.2024.10625079 (IEEE)
• 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), Mysore, India. pp. 1-6. DOI: 10.1109/APCIT62007.2024.10673608 (IEEE)
• 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 (IEEE)
• Anirudh Vannarath, Prabu Selvam, Sakkaravarthy Iyyappan K, K. Deepa, and S. Rahmath Nisha, “Unlocking Musical Discovery: The Innovative Frontier of Song Recognition via Audio Fingerprinting”, International Conference on Recent Innovations in Computing (ICRIC’07), 23 August 2024. (Springer)
• V. Sathiyapriya, K. Nethra Devi, S. Deepa, M. Marimuthu, P. Manikandan, and S. Prabu, “Pancreatic Cancer Prediction Machine Learning Using Multi Fusion Model”, International Conference on Software, Systems and Information Technology, Bengaluru, India, 2024, pp. 1-6. DOI: 10.1109/ICDSCNC62492.2024.10939888. (IEEE)
• Ijas Siju, and Prabu Selvam, “A Novel Approach for Lightweight Sign Language Recognition Leveraging Google Mediapipe and Deep Neural Net”, International Conference on Software, Systems and Information Technology, Tumkur, India, 2024, pp. 1-6. DOI: 10.1109/SSITCON62437.2024.10796746 (IEEE)
• Prabu Selvam, C. Gunasundari, T. Suresh, M.Tamilselvi, Pinjari Haneef and R. Jini, “Detecting and Diagnosing Alzheimer’s Disease: A Transformer-Based Survey (DAD-T)”, 4th International Conference on Mobile Networks and Wireless Communications (ICMNWC), Tumkur, India, 2024, pp. 1-7. DOI: 10.1109/ICMNWC63764.2024.10872191 (IEEE)
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