WoS (ESCI / SCI-E)

Zakir Hussain, Prabu Selvam, M. Sivaramkrishnan, M. Siva Ramkumar, Sivaprakash Paramasivam, Mohamed Ghouse, T. M. Yunus Khan, Md Amir Khan & Amanuel Zewdie, “Optimized energy management of PV-Powered lighting system for smart cities using perfumer optimization algorithm and graph ensemble neural network, Scientific Reports, 15, 40188, 2025. DOI: 10.1038/s41598-025-23838-7. SCI-E (IF: 3.9)

Prabu Selvam, R. Rajasekar, C. Gunasundari, S. Janu Priya, M. Murugappan, and M. E. H. Chowdhury, “YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm,” IEEE Access, vol. 13, pp. 143085–143101, 2025. DOI: 10.1109/ACCESS.2025.3595048. SCI-E (IF: 3.6)

Ambika M., Mohana S., Prabu Selvam, and Sheeba R., “CNN with ISNet-Based Healthcare Monitoring System for Heart Disease Prediction,” Biomedical Signal Processing and Control, vol. 110, Part B, Dec. 2025, p. 108339. DOI: 10.1016/j.bspc.2025.108339. SCI-E (IF: 4.9)

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)

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, vol. 13, pp. 29523–29540, 2025. DOI: 10.1109/ACCESS.2025.3536621. SCI-E (IF: 3.6)

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, vol. 8, no. 5, p. e607, 2025. DOI: 10.1002/itl2.607. ESCI (IF: 0.9)

G. Jerald Prasath, S. Prabu, V. Valli Mayil, and Sumit Saini, “Optimized Double Transformer Residual Super-Resolution Network-Based X-ray Image 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: 7.6)

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: 3.6)

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: 3.6)

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

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, pp. 2071–2086, 2022. DOI: 10.32604/iasc.2023.029105. SCI-E (IF: 3.4).

Scopus Indexed

A. Kaliappan, Krishna Prakash Arunachalam, Prabu Selvam & J. A. Jevin, “Multimodal Breast Cancer Classification Using Fractional-Order Three-Triangle Multi-Delayed Neural Network Optimized With Hunger Games Search,” Biomedical Materials & Devices, 2025.

R. Priyanka Pramila, Kanika Garg, Prabu Selvam & M. G. Jayanthi, “Efficient Breast Cancer Detection and Classification Using Rotation-Invariant Progressive Feedback Cosine Convolutional Neural Network with Tyrannosaurus Optimization Algorithm in Ultrasound Image,” Biomedical Materials & Devices, 2025. DOI: 10.1007/s44174-025-00462-7.

Dheeraj Hebri, Swagatika Devi, Prabu Selvam, Valluri Venkata Gopala Rao, Robins A. Kattoor, M. Sridharan, B. Selvalakshmi, Arun Chokkalingam, P. Prakash, Ashwini Shinde, and R. G. Vidhya, “A Cybersecurity Threat Detection Using Advanced Neural Network Methodologies,” International Journal of Basic and Applied Sciences, vol. 14(6), 2025. DOI: 10.14419/kk1qt007.

D. Palani, V. Ramu, Prabu Selvam, Krishna Prakash Arunachalam, “Early Detection of Alzheimer’s Disease in EEG Signals using a Multi-Channel Quantum Cascaded Visual Attention Neural Network,” Biomedical Materials & Devices, 2025. DOI: 10.1007/s44174-025-00462-7.

P. Bavithra Matharasi, Prabu Selvam, Himanshu Sharma, D. Sugumar, Midathada Vinay Kumar, S. Rosaline, Addanki Mounika, and Tati Raju V. Rajani Kanth, “Development of a Comprehensive IoT-Based Monitoring Application for High-Risk Pregnancies Enhancing Maternal and Fetal Health Outcomes,” International Journal of Basic and Applied Sciences, vol. 14(2), 2025. DOI: 10.14419/wf3p9b62.

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, vol. 5, article 39, 2025. DOI: 10.1007/s43926-025-00130-8.

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, vol. 6, no. 6, 2024, pp. 6812–6820. DOI: 10.33472/AFJBS.6.6.2024.6812-6820.

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, vol. 245, 2024, pp. 1–16. DOI: 10.1007/s10751-024-02121-7.

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.

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, vol. 6, issue 6, 2024, pp. 1600–1609. DOI: 10.33472/AFJBS.6.6.2024.1600-1609.

M. Sumathi and S. Prabu, “Random Forest Based Classification of User Data and Access Protection,” International Journal of Engineering and Advanced Technology, vol. 8(1), 2019, pp. 1630–1635. DOI: 10.35940/ijeat.A9266058119.

S. Prabu and M. Sumathi, “Evaluating Phishing Website Detection on Client Side,” International Journal of Engineering and Advanced Technology, vol. 8(6), 2019, pp. 18–22. DOI: 10.35940/ijeat.E7396.088619.

International Conference Publications (Scopus Indexed)

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.

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.

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.

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 Aug. 2024. (Springer)

Sudeesh Kumar V., B. Natarajan, Murali P., Prabu Selvam, Venkatraman K., and 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.

S. Priyanka and Prabu Selvam, “Enhancing Ophthalmic Diagnostics: A New Horizon for OCT Retinal Analysis,” Asia Pacific Conference on Innovation in Technology (APCIT), Mysore, India, 2024, pp. 1–6. DOI: 10.1109/APCIT62007.2024.10673608.

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.

Prabu Selvam, P. Saravanan, M. Marimuthu, M. R. Nithya, V. Sathiyapriya, and V. Nareen Harsha, “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.

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.

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.

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.

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

Prabu Selvam, M. Sumathi, 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.

Varshinidevi I., B. Natarajan, S. Prabu, R. Bhuvaneswari, and R. Annamalai, “Automated Stock Trading using Reinforcement Learning,” International Conference on Integrated Intelligence and Communication Systems, Kalaburagi, India, 2023, pp. 1–6. DOI: 10.1109/ICIICS59993.2023.10421071.

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

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,” 3rd International Conference on Mobile Networks and Wireless Communications, Tumakuru, India, 2023, pp. 1–5. DOI: 10.1109/ICMNWC60182.2023.10435774.

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

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

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

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

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

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

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

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,” International Conference on Computing Sciences, Phagwara, India, 2021, pp. 91–94. DOI: 10.1109/ICCS54944.2021.00026.

Book Publications (Scopus Indexed)

S. Prabu, R. Jagadeesh Kannan, Danish Raza Rizvi, Ozair Alam, and Aquib Mustafa, Next-Generation Deep Learning in Healthcare Systems and Biomedical Engineering, Series: Ethical and Responsible AI Algorithms for Sustainable Computing, CRC Press, Taylor & Francis Group, 2025. (Ongoing – Scopus Indexed).

Book Chapters Publications (Scopus Indexed)

Marimuthu M, Saravanan P, Prabu S, Lekshmi K, Akshay Grish, and Kumar S. N., “Enhancing Thyroid Malignancy Diagnosis Using Ensemble Methods and Deep Learning,” in Next-Generation Deep Learning in Healthcare Systems and Biomedical Engineering, Series: Ethical and Responsible AI Algorithms for Sustainable Computing, CRC Press, Taylor & Francis Group, 2025. (Accepted – Full Chapter Submitted).

P. K. A. Chitra, Prabu Selvam, S N Kumar, “Innovations in Sustainable Agriculture Recent Advances and Future Directions”, Smart Agriculture for Sustainable Practices: The Role of AI, IoT, and Machine Learning, CRC Press, Taylor & Francis Group, 2025. DOI: 10.1201/9781003594093-18.

S. N. Kumar, Prabu Selvam, Jomin Joy, Nicole Rakov, and Alan James, “Leveraging Technology for Healthcare Transformation: Telemedicine and Remote Health Monitoring,” in Ambient Assisted Living Technologies: Transitioning from Healthcare 4.0 to Healthcare 5.0, CRC Press, Taylor & Francis Group, pp. 175–192, 2025. DOI: 10.1201/9781003520184-15.

S. Prabu, M. Sumathi, and B. Natarajan, “Advancements in Automated Multi-Class Weed Management Using Enhanced YOLOv8 Object Detection Algorithm,” in Digital Farming and Smart Agriculture for Sustainable Future, CRC Press, Taylor & Francis Group, pp. 94–110, 2025. DOI: 10.1201/9781003479154-7.

Prabu Selvam, Sumathi M, Marimuthu M, and Saravanan P, “MPPEDet: Medical Personal Protective Equipment Detection Using Deep Learning Algorithm,” in 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,” in 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.

B. Swaminathan, S. Prabu, A. S. K. Joseph, and 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.

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 Making, Elsevier, 2022, pp. 315–328. DOI: 10.1016/b978-0-443-19413-9.00008-4.

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.

Patents

AI-Powered Mental Health Monitoring Device – Design Accepted and Published. Design No.: 463836-001, Journal No.: 38/2025, Journal Date: 19/09/2025.

Portable Plant Diversity Detection Device – Design Accepted and Published. Design No.: 418941-001, Journal No.: 33/2024, Journal Date: 16/08/2024.

Machine Learning Model Based on Deep Learning Architecture for Secure Medical Image Transfer in Teleradiology Sector – Published. Application No.: 202441060250, Published Date: 16/08/2024.

Device for Enterprise Cloud Computing – Design Accepted and Published. Design No.: 396930-001, Journal No.: 47/2023, Journal Date: 24/11/2023.

AI-Based Robotic Chef – Submitted. Design No.: 401744-001, Examination Report Generated.

Employee Behaviour Tracking System – Design Accepted and Published. Design No.: 350711-001, Journal No.: 50/2021, Journal Date: 10/12/2021.

Awards

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.

Silver Medal, Research Day 2025, for the project “Real-Time Chain Snatching Detection and Tracking System Using Computer Vision and IoT Technologies”, SRMIST, Kattankulathur.

Honors

Session Chair, IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems, 28–29 June 2024, Vemana Institute of Technology, Bengaluru.

Session Chair, Third IEEE Sponsored International Conference on Electrical, Electronics, Information and Communication Technologies, 24–26 July 2024, K. Ramakrishnan College of Engineering, Tiruchirappalli, Tamil Nadu.

Session Chair, IEEE International Conference on Recent Trends in Artificial Intelligence, Cyber Security and Embedded Systems, 19–20 Sept 2024, K. Ramakrishnan College of Engineering, Tiruchirappalli, Tamil Nadu.

Session Chair, IEEE 2nd International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS), 30–31 August 2025, Vemana Institute of Technology, Bengaluru.

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)

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).

• IEEE Member

NIL