Research & Publications

About Me

I am Muthu Selvam, a Lead Software Engineer with expertise in fintech, AI, and digital banking. My research focuses on AI-driven fraud detection, cybersecurity, Personalization, and human-centric AI design. Through my publications, I aim to advance secure, innovative, and user-centric financial technologies.

Research Scholarly Articles
  1. Evaluating the Impact of Agile Methodologies on Speed and Reliability in DevOps for Large-Scale Systems, 2025 2nd International Conference on Computing and Data Science (ICCDS), DOI: 10.1109/ICCDS64403.2025.11209470
  2. Ethical AI for Personalized Banking: Addressing Bias and Fairness Challenges, DOIhttps://doi.org/10.62486/latia2025361
  3. Human-in-the-Loop Models for Ethical AI Grading: Combining AI Speed with Human Ethical Oversight – DOI: https://doi.org/10.56294/ai2025413
  4. Enhancing User Interaction in Digital Financial Systems Using AI-Driven Front-End Technologies: A Personalised Response Approach –  2025 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI) DOI: 10.1109/COMP-SIF65618.2025.10969916
  5. AI-Powered Behaviour Analysis in Financial  Service – 2025 International Conference on Computing for Sustainability and Intelligent Future (COMP-SIF)DOI: 10.1109/ICDSAAI65575.2025.11011795
  6. Ethical and Privacy Considerations in AI-Driven Language Learning, DOI: https://doi.org/10.62486/latia2025328
  7. Enhancing Question Answering Systems with Semantic Networks and NLP Techniques – 2025 International Conference on Computing for Sustainability and Intelligent Future (COMP-SIF) –  DOI: 10.1109/COMP-SIF65618.2025.10969916
  8. AI-Powered Cloud Computing for Performance Optimization and Scalability in Distributed Systems – 2025 International Conference on Computing for Sustainability and Intelligent Future (COMP-SIF) –  DOI: 10.1109/COMP-SIF65618.2025.10969950
  9. Natural Language Processing for Voice-Based Banking Interactions: Enhancing User Interaction Through Voice Commands 2025 IEEE 4th International Conference on Computing and Machine Intelligence (ICMI) DOI: 10.1109/ICMI65310.2025.11139835
  10. Implementing AI-Driven Micro-Frontend Architectures Using Reinforcement Learning and Graph Neural Networks for Scalable and Maintainable Large-Scale Web Applications – DOI: 10.56472/25832646/JETA-V5I1P105 
     
Google Scholar Profile: https://scholar.google.com/citations?hl=en&user=-SKaM0gAAAAJ
ORCID Profile: https://orcid.org/0009-0005-5430-1954
WebofScience Profile: https://www.webofscience.com/wos/author/record/MEO-1902-2025
CMT3 Research Reviewer ID: muthucse7@gmail.com
EDAS Research Reviewer ID: 2324187