Samson Arun Raj A

@karunya.edu

Assistant Professor, Computer Science and Engineering
Karunya Institute of Technology and Sciences

Samson Arun Raj A


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https://researchid.co/samson2304
I am Dr. A. Samson Arun Raj, serving as an Assistant Professor (Grade I) in the Division of Computer Science and Engineering, School of Computer Science and Technology at Karunya Institute of Technology and Sciences, Coimbatore.

I earned my Ph.D. in Information Science and Technology (Full-Time) from the College of Engineering, Guindy, Anna University, Chennai, in March 2021.

My research interests and expertise span:
1. Wireless Sensor Networks (WSN)
2. Vehicular Ad Hoc Networks (VANET)
3. Intelligent Transportation Systems (ITS)

I am passionate about advancing modern communication technologies, developing intelligent mobility solutions, and contributing to high-impact research in next-generation networked systems.

EDUCATION

completed my PhD Degree (March 2021) in the Department of Information Science and Technology, College of Engineering Guindy, Anna University, Chennai. My research domain is in the area of Vehicular Ad-Hoc Network for Intelligent Transportation Systems Applications.

Dissertation Title - A Programmable Mobile-Road Side Unit (MOBILE-RSU) Framework for Vehicular Ad-Hoc Networks

RESEARCH, TEACHING, or OTHER INTERESTS

Transportation, Statistics, Probability and Uncertainty, Engineering, Computer Science
35

Scopus Publications

296

Scholar Citations

7

Scholar h-index

5

Scholar i10-index

Scopus Publications

  • Federated micro-expression mining and multi-modal metadata fusion for Deepfake fraud detection in ubiquitous financial video-KYC systems at IoT network
    Romil Rawat, Anjali Rawat, Shweta Gupta, A. Samson Arun Raj, T.M. Thiyagu, Hitesh Rawat, Anand Rajavat
    Franklin Open, 2026
    Introduction & Problem Statement- The increasing sophistication of AI-generated deepfakes poses significant challenges for financial video-KYC systems, where identity verification relies on accurate and real-time analysis of user biometrics. Traditional centralized and unimodal detection models struggle to balance accuracy, privacy, and deployment scalability, particularly across heterogeneous IoT edge devices. Need for Research-There is a pressing need for privacy-preserving, scalable, and robust deepfake detection mechanisms capable of identifying subtle manipulations in real-world financial environments. Current solutions often fail under domain-shift conditions, low-resolution inputs, or in scenarios involving complex micro-expression and behavioral cues. Proposed Work & Objective- This research proposes the Federated Micro-Expression Mining and Multi-Modal Metadata Fusion (FED-MEMF) framework, designed to accurately detect deepfake fraud in decentralized video-KYC systems. The objectives are to (i) enhance detection accuracy by leveraging facial micro-expression dynamics, audio signals, and session metadata, and (ii) preserve user privacy through federated learning while ensuring low-latency real-time inference. Novelty- The novelty lies in integrating fine-grained micro-expression analysis with behavioral metadata fusion in a federated learning environment, combined with cross-modal attention mechanisms. This approach enables robust detection across multiple datasets while maintaining privacy and edge-device compatibility. Method- The framework employs modality-specific encoders—μ-Transformer for micro-expressions, CNN for audio, and LSTM for metadata—with features fused via a cross-modal attention engine. Federated Averaging (FedAvg) aggregates local model updates from IoT edge devices without transferring sensitive data. Quantization and hardware optimizations enable real-time performance on low-power devices. Dataset- Experiments utilized FaceForensics++, CAS(ME)^2, and a proprietary KYC-FinVox2024 dataset comprising video, audio, and metadata streams, including micro-expression labels, to evaluate both intra- and cross-dataset performance. Results- FED-MEMF achieved an overall accuracy of 98.7%, F1-score of 0.987, AUC of 0.996, and inference latency of 82 ms, outperforming XceptionNet, EfficientNet-B4, and CNN+LSTM baselines. Multi-modal fusion significantly reduced false positives and false negatives, demonstrating robustness under domain-shift conditions. Conclusion & Future Work- FED-MEMF provides a privacy-conscious, real-time, and scalable solution for deepfake detection in financial video-KYC applications. Future directions include multilingual audio-visual alignment, blockchain-enabled federated auditing, explainable AI integration, and deployment in other regulatory-sensitive sectors such as e-governance, healthcare, and remote education verification.
  • Analyzing the Impact of Network Vulnerability Propagation Factor on Cyber Security Risk Assessment in Online Social Networks
    Romil Rawat, A. Samson Arun Raj, Hitesh Rawat, Virendra Dani, Anjali Rawat, Anand Rajavat, Yagyanath Rimal
    Engineering Reports, 2025
    With the increasing reliance on online social networks (OSNs) for communication and information sharing, the threat of cyber‐attacks—ranging from bot‐driven misinformation to account hijacking—has grown significantly. This study introduces a novel metric, the network vulnerability propagation factor (NVPF), designed to assess the risk of threat diffusion within OSNs by integrating behavioral, structural, and exposure‐based indicators. The NVPF comprises three components: node vulnerability score (NVS), connectivity index (CI), and propagation weight (PW). Their respective contributions are optimized using particle swarm optimization (PSO) to maximize detection performance. Utilizing the Cresci‐2017 Twitter dataset, which includes 1.6 million user profiles and over 37,000 labeled malicious accounts, the NVPF was calculated and integrated into a gradient boosting machine (GBM) classifier. Experimental results show that users in the top 15% of NVPF scores are 2.4 times more likely to be malicious, and the proposed model achieved an F1‐score of 0.88, precision of 0.90, and recall of 0.86, representing a 24.7% improvement over traditional centrality‐based approaches. These findings demonstrate the effectiveness and scalability of the NVPF model in enhancing cyber security risk assessment and early threat detection within dynamic OSN environments.
  • Child protection laws and crime in the digital era
    Child Protection Laws and Crime in the Digital Era, 2025
  • Global perspectives: Comparative child protection laws across countries
    Anjali Rawat, A. Samson Arun Raj, Janet Olivia Richmond, Anand Rajavat, Antonio González-Torres, Purvee Bhardwaj
    Child Protection Laws and Crime in the Digital Era, 2025
    This study presents a comparative evaluation of child protection laws worldwide, focusing on their effectiveness in preventing abuse, neglect, and exploitation. Drawing from the 2024 Global Child Protection Law Dataset, which includes legal data from over 100 nations, the research examines variables such as age limits, abuse penalties, child welfare structures, and international treaty participation. Using Quantitative Comparative Analysis (QCA), the study assesses legal strength through criteria like enforcement, scope, and public outreach. Machine learning techniques, specifically Random Forest and Support Vector Machine models, classify and rank countries based on the robustness of their child protection frameworks. Findings reveal that countries with comprehensive laws and strong enforcement average an 85.7% effectiveness rate, while those with weaker systems average 62.3%. The research underscores global disparities and offers evidence-based recommendations for legal and policy reform.
  • Digital literacy initiatives, policy evaluation, and machine learning: Cyber laws and their role in safeguarding children online
    Hitesh Rawat, Priya Matta, Kuldeep Singh, Prathamesh Muzumdar, A. Samson Arun Raj, Sanjaya Kumar Sarangi
    Child Protection Laws and Crime in the Digital Era, 2025
    As digital education and social media grow rapidly in India, children face increasing risks online, including cyberbullying, exploitation, and exposure to harmful content. This study assesses how effectively Indian cyber laws protect minors in the digital space. A new approach—Legal-Empirical Safeguard Analysis Method (LESAM)—was used, combining legal analysis with real-world data. The study analyzed 7,842 child-targeted cybercrime cases reported to the NCRB from 2018 to 2023. LESAM utilized policy evaluation and machine learning (Random Forest) to classify incidents by severity and response. Findings revealed that 63.4% of cases were handled under the IT Act (2000), while 21.8% involved the POCSO Act. The model accurately identified high-risk cases 91.7% of the time. While current laws provide a strong foundation, enforcement gaps and limited public awareness persist. The study calls for better digital literacy initiatives and improved inter-agency coordination to enhance child safety online.
  • Preface
    Integrating Parental Consent and Child Engagement with Digital Protection Rules, 2025
  • Integrating parental consent and child engagement with digital protection rules
    Integrating Parental Consent and Child Engagement with Digital Protection Rules, 2025
  • Screen time and safety: How parents can monitor and protect their kids online
    Yagyanath Rimal, Sunil Parihar, A. Samson Arun Raj, Purvee Bhardwaj, Anjali Rawat, Abhishek Sharma
    Integrating Parental Consent and Child Engagement with Digital Protection Rules, 2025
    As digital technology becomes more integrated into children's lives, ensuring their online safety is increasingly important for parents. This research investigates effective methods for managing screen time and addressing online threats like cyberbullying, harmful content, and phishing. Using the Family Online Safety Dataset (FOSD-2023), which includes 12,000 anonymized records of screen usage and parental controls for children aged 7–16, we developed a hybrid Random Forest–LSTM model. The model identified potential risks with 94.6% accuracy, 92.3% precision, and 93.7% recall. It also offered personalized recommendations to help parents adjust screen time and content filters. The findings underscore the importance of intelligent monitoring tools that promote both safe and balanced digital use.
  • Designing childcentric platforms: Best practices for social media and gaming - the hidden dangers of online gaming
    Romil Rawat, Kuldeep Singh, A. Samson Arun Raj, Prathamesh Muzumdar, Sanjaya Kumar Sarangi, Hitesh Rawat
    Integrating Parental Consent and Child Engagement with Digital Protection Rules, 2025
    This study explores the risks children face in online gaming, with a focus on scams such as fraud, harassment, and exploitation. These threats are growing in the digital world and pose serious concerns for young players. Using the 2025 “ChildSafe Gaming Dataset,” which includes over 100,000 reported incidents involving minors, the research analyzes the types and patterns of these scams. The data covers cases of fraud, harassment, and exploitation, along with demographic details. A machine learning model called SecurePlay was developed to detect and classify scam-related content using natural language processing and behavioral analysis. Findings revealed that 42.7% of incidents were fraud-related, 33.1% involved harassment, and 24.2% concerned exploitation. SecurePlay achieved 89.6% accuracy, with an 85.3% precision and 92.4% recall rate, proving effective in identifying threats. The results underscore the urgent need for better safety measures to protect minors in digital gaming environments.
  • Intelligent Multi-UAV Docking with Predictive Scheduling and Task Reallocation
    Dhanyashriee S, Samson Arun Raj
    Proceedings 2025 IEEE 3rd International Symposium on Sustainable Energy Signal Processing and Cybersecurity Isssc 2025, 2025
    The growing use of multi-UAV fleets in domains such as surveillance, logistics, and environmental monitoring demands optimized docking operations to avoid congestion and coverage loss. This work proposes an AI-driven docking management framework combining predictive battery scheduling, cooperative task reallocation, and renewable-powered charging stations. The system forecasts time-to-empty using mission context, environmental data, and discharge history, allocating docking slots to maintain minimum active fleet size. A peer-to-peer protocol ensures seamless mission handover to the nearest capable UAV, while docking stations employ hybrid wireless charging and battery swapping powered mainly by solar energy. Simulations show a 30% reduction in docking conflicts, sustained mission coverage above 95%, and up to 22% higher energy efficiency compared to reactive strategies, enabling scalable, sustainable multi-UAV deployments.
  • Beyond Memorization: Generalizable Snake AI with DDQN in Cluttered Environments
    Peram John Wesley, Samson Arun Raj A
    Proceedings 2025 IEEE 3rd International Symposium on Sustainable Energy Signal Processing and Cybersecurity Isssc 2025, 2025
  • Detecting Traffic Police Hand Gestures with MoveNet Thunder for Self-Driving Cars
    Samjebasjeswin k, Samson Arun Raj
    Proceedings of 8th International Conference on Inventive Computation Technologies Icict 2025, 2025
  • Boosting Multi-Cancer Classification: A Deep Dive into VGG and Efficient Net
    M. Dinesh Kannan, Samson Arun Raj
    2025 3rd International Conference on Advancements in Electrical Electronics Communication Computing and Automation Icaeca 2025, 2025
  • MindMate: AI-Powered Multilingual Mental Health Chatbot with Personalized Voice and Text Support with Rasa and Streamlit
    Dharshini S, Samson Arun Raj A, Venkatesan R
    Proceedings of the International Conference on Intelligent Computing and Control Systems Iciccs 2025, 2025
  • AI-Powered Misinformation Campaigns and Subliminal Influence Tactics
    Rajesh Kumar Chakrawarti, A. Samson Arun Raj, Alpesh Soni, Sachin Chirgaiya
    Cognitive Cyber Crimes in the Era of Artificial Intelligence, 2025
  • How Attackers Can Steal and Manipulate Brainwave Signals
    A. Samson Arun Raj, Abhishek Singh Rathore, Juber Mirza, Ankita Chourasia, Abhishek Sharma
    Cognitive Cyber Crimes in the Era of Artificial Intelligence, 2025
  • Natural Language Processing for Software Engineering
    Natural Language Processing for Software Engineering, 2025
  • Energy-efficient hybrid detection framework for suspicious software components in mobile applications using echo state networks
    Hitesh Rawat, A. Samson Arun Raj, Antonio González-Torres, Purvee Bhardwaj, K. Sakthidasan Sankaran, T. M. Thiyagu, Anjali Rawat
    International Journal of Information Technology Singapore, 2025
  • Enhanced Cybercrime Detection on Twitter Using Aho-Corasick Algorithm and Machine Learning Techniques
    Romil Rawat, A Samson Arun Raj, Dr. Rajesh Kumar Chakrawarti, Dr. Krishnan Sakthidasan Sankaran, Dr. Sanjaya Kumar Sarangi, Hitesh Rawat, Anjali Rawat
    Informatica Slovenia, 2024
  • Comparative analysis of electroencephalogram signals using ensemble methods for epilepsy detection
    S Niranjan, Samson Arun Raj, T Jemima Jebaseeli, S. Marshal, S. S. Ashik
    Emerging Advancements in AI and Big Data Technologies in Business and Society, 2024
  • A constructive airborne-ground matrix algorithm for modern telecommunication systems
    Samson Arun Raj A, Basil Xavier S, Jaspher Wilisie Kathrine G, Salaja Silas, Andrew J
    Iet Networks, 2024
  • The future of modern transportation for smart cities using trackless tram networks
    A. Samson Arun Raj, P. Yogesh
    Conversational Artificial Intelligence, 2024
  • Exploring Deep Learning Models for Kidney Stone Prediction: A Comparative Study of ResNet and SENet Architectures
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • Video Harmony: Enhancing Emotional Well-being with Video Recommendations for Children with ASD
    15th International Conference on Advances in Computing Control and Telecommunication Technologies Act 2024, 2024
  • Drowsiness Detection Using Adaboost Method and Haar Cascade Classifier to Improve Safety of Drivers
    S. Niranjan, T. Jemima Jebaseeli, Samson Arun Raj, S. Marshal
    Lecture Notes in Networks and Systems, 2024
  • Association rule learning for threat analysis using traffic analysis and packet filtering approach
    Romil Rawat, Rajesh Kumar Chakrawarti, A. Samson Arun Raj, Gayathri Mani, K. Chidambarathanu, Ramakant Bhardwaj
    International Journal of Information Technology Singapore, 2023
  • A Queueing Model-Based Experimental Analysis of Mobile-Energy Distribution Stations (M-Eds) for Smart City Urbanization
    Samson Arun Raj, Venkatesan Ramachandran, G. Naveen Sundar, Subramaniam Nachiyappan
    Journal of Advanced Research in Applied Sciences and Engineering Technology, 2023
  • An Image-based Fall Detection System for the Elderly using YOLOv5
    S. Marshal, Samson Arun Raj, T. Jemima Jebaseeli, S. Niranjan
    2nd International Conference on Automation Computing and Renewable Systems Icacrs 2023 Proceedings, 2023
  • Ensemble Deep Learning Models for Accurate Prediction of Cardiovascular Disease Risk: A Comparative Analysis
    Jadda Midhun, A Samson Arun Raj, Manaswini Beereddy, Shalem Preetham Gandu, Gajula Parimala Sudha, Blessy Harshitha Gandu
    Proceedings of the 2nd International Conference on Edge Computing and Applications Icecaa 2023, 2023
  • A secure data authentication-based aerial intelligent relay road side unit (AIR-RSU) framework for intelligent transportation system applications
    A. Samson Arun Raj, M. Roshni Thanka, G. Jaspher Wilisie Kathrine, Yogesh Palanichamy
    Autonomous Vehicles Smart Vehicles for Communication, 2022
  • An Analysis of the Significance of Spring Boot in The Market
    M. Mythily, A. Samson Arun Raj, Iwin Thanakumar Joseph
    5th International Conference on Inventive Computation Technologies Icict 2022 Proceedings, 2022
  • A Mathematical Queuing Model Analysis Using Secure Data Authentication Framework for Modern Healthcare Applications
    A. Samson Arun Raj, R. Venkatesan, S. Malathi, V. D. Ambeth Kumar, E. Thenmozhi, Anbarasu Dhandapani, M. Ashok Kumar, B. Chitra
    Journal of Sensors, 2022
  • Packet classification based aerial intelligent relay-road side unit (air-rsu) framework for vehicular ad-hoc networks
    A. Samson Arun Raj, Yogesh Palanichamy
    Peer to Peer Networking and Applications, 2021
  • An aerial intelligent relay-road side unit (AIR-RSU) framework for modern intelligent transportation system
    A. Samson Arun Raj, Yogesh Palanichamy
    Peer to Peer Networking and Applications, 2020
  • UAV assisted automated remote monitoring and control system for smart water bodies
    P. Shunmuga Perumal, A. Samson Arun Raj, B. M. S. Bharathi, G. Mohan Raju, K. Yogeswari
    Proceedings 2017 2nd International Conference on Recent Trends and Challenges in Computational Models Icrtccm 2017, 2017

RECENT SCHOLAR PUBLICATIONS

  • Screen Time and Safety: How Parents Can Monitor and Protect Their Kids Online
    AS Yagyanath Rimal, Sunil Parihar, A. Samson Arun Raj, Purvee Bhardwaj ...
    Integrating Parental Consent and Child Engagement With Digital Protection … , 2026
    2026
  • Federated Micro-Expression Mining and Multi-Modal Metadata Fusion for Deepfake Fraud Detection in Ubiquitous Financial Video-KYC Systems at IoT Network
    S Gupta, ASA RAJ, TM Thiyagu
    Franklin Open, 100523 , 2026
    2026
  • Digital Literacy Initiatives, Policy Evaluation, and Machine Learning: Cyber Laws and Their Role in Safeguarding Children Online
    H Rawat, P Matta, K Singh, P Muzumdar, ASA Raj, SK Sarangi
    Child Protection Laws and Crime in the Digital Era, 281-304 , 2026
    2026
    Citations: 2
  • Global Perspectives: Comparative Child Protection Laws Across Countries
    A Rawat, ASA Raj, JO Richmond, A Rajavat, A González-Torres, ...
    Child Protection Laws and Crime in the Digital Era, 133-154 , 2026
    2026
    Citations: 10
  • Designing Child-Centric Platforms: Best Practices for Social Media and Gaming-The Hidden Dangers of Online Gaming
    R Rawat, K Singh, ASA Raj, P Muzumdar, SK Sarangi, H Rawat
    Integrating Parental Consent and Child Engagement With Digital Protection … , 2026
    2026
  • How Attackers Can Steal and Manipulate Brainwave Signals
    ASA Raj, AS Rathore, J Mirza, A Chourasia, A Sharma
    Cognitive Cyber Crimes in the Era of Artificial Intelligence, 69-84 , 2025
    2025
  • AI‐Powered Misinformation Campaigns and Subliminal Influence Tactics
    RK Chakrawarti, ASA Raj, A Soni, S Chirgaiya
    Cognitive Cyber Crimes in the Era of Artificial Intelligence, 135-151 , 2025
    2025
  • Dynamic Quarantine Slicing for DDoS Mitigation in Healthcare SDN Environments
    S Marshal, JW Kathrine, S Prince, ASA Raj
    2025 International Conference on Data, Energy and Communication Networks … , 2025
    2025
  • Cognitive Cyber Crimes in the Era of Artificial Intelligence
    RK Chakrawarti, R Rawat, KB Singh, ASA Raj, A Singh, H Rawat, ...
    John Wiley & Sons , 2025
    2025
  • Beyond Memorization: Generalizable Snake AI with DDQN in Cluttered Environments
    PJ Wesley, SA Raj
    2025 IEEE 3rd International Symposium on Sustainable Energy, Signal … , 2025
    2025
  • Intelligent Multi-UAV Docking with Predictive Scheduling and Task Reallocation
    S Dhanyashriee, SA Raj
    2025 IEEE 3rd International Symposium on Sustainable Energy, Signal … , 2025
    2025
  • Analyzing the Impact of Network Vulnerability Propagation Factor on Cyber Security Risk Assessment in Online Social Networks
    R Rawat, ASA Raj, H Rawat, V Dani, A Rawat, A Rajavat, Y Rimal
    Engineering Reports 7 (11), e70391 , 2025
    2025
  • Energy-Efficient Hybrid Detection Framework for Suspicious Software Components in Mobile Applications using Echo State Networks
    H Rawat, A Samson Arun Raj, A González-Torres, P Bhardwaj, ...
    International Journal of Information Technology, 1-12 , 2025
    2025
    Citations: 3
  • Detecting Traffic Police Hand Gestures With Movenet Thunder for Self-Driving Cars
    SA Raj
    2025 International Conference on Inventive Computation Technologies (ICICT … , 2025
    2025
    Citations: 1
  • Boosting Multi-Cancer Classification: A Deep Dive into VGG and Efficient Net
    MD Kannan, SA Raj
    2025 3rd International Conference on Advancements in Electrical, Electronics … , 2025
    2025
  • MindMate: AI-Powered Multilingual Mental Health Chatbot with Personalized Voice and Text Support with Rasa and Streamlit
    S Dharshini, SA Raj A, R Venkatesan
    2025 International Conference on Intelligent Computing and Control Systems … , 2025
    2025
    Citations: 7
  • Natural Language Processing for Software Engineering
    RR Rajesh Kumar Chakrawarti, Ranjana Sikarwar, Sanjaya Kumar Sarangi, Samson ...
    Wiley - https://onlinelibrary.wiley.com/doi/book/10.1002/9781394272464 , 2025
    2025
  • Enhanced Cybercrime Detection on Twitter Using Aho-Corasick Algorithm and Machine Learning Techniques
    R Rawat, ASA Raj, RK Chakrawarti, KS Sankaran, SK Sarangi, H Rawat, ...
    Informatica 48 (18), 97-108 , 2024
    2024
    Citations: 53
  • to Improve Safety of Drivers
    S Niranjan, TJ Jebaseeli, SA Raj, S Marshal
    Soft Computing: Theories and Applications: Proceedings of SoCTA 2023, Volume … , 2024
    2024
  • Exploring Deep Learning Models for Kidney Stone Prediction: A Comparative Study of ResNet and SENet Architectures.
    AS Arun Raj
    Grenze International Journal of Engineering & Technology (GIJET) 10 , 2024
    2024

MOST CITED SCHOLAR PUBLICATIONS

  • Association rule learning for threat analysis using traffic analysis and packet filtering approach
    R Rawat, RK Chakrawarti, ASA Raj, G Mani, K Chidambarathanu, ...
    International journal of information technology 15 (6), 3245-3255 , 2023
    2023
    Citations: 115
  • Enhanced Cybercrime Detection on Twitter Using Aho-Corasick Algorithm and Machine Learning Techniques
    R Rawat, ASA Raj, RK Chakrawarti, KS Sankaran, SK Sarangi, H Rawat, ...
    Informatica 48 (18), 97-108 , 2024
    2024
    Citations: 53
  • An analysis of the significance of spring boot in the market
    M Mythily, ASA Raj, IT Joseph
    2022 international conference on inventive computation technologies (ICICT … , 2022
    2022
    Citations: 53
  • An aerial intelligent relay-road side unit (AIR-RSU) framework for modern intelligent transportation system
    ASA Raj, Y Palanichamy
    Peer-to-Peer Networking and Applications 13, 965-986 , 2020
    2020
    Citations: 16
  • Global Perspectives: Comparative Child Protection Laws Across Countries
    A Rawat, ASA Raj, JO Richmond, A Rajavat, A González-Torres, ...
    Child Protection Laws and Crime in the Digital Era, 133-154 , 2026
    2026
    Citations: 10
  • Uav assisted automated remote monitoring and control system for smart water bodies
    PS Perumal, ASA Raj, BMS Bharathi, GM Raju, K Yogeswari
    2017 Second International Conference on Recent Trends and Challenges in … , 2017
    2017
    Citations: 9
  • A survey on classification of fault tolerance techniques available in wireless sensor network
    ASA Raj, K Ramalakshmi, C Priyadharsini
    International Journal of Engineering Research and Technology 3 (1), 668-691 , 2014
    2014
    Citations: 8
  • MindMate: AI-Powered Multilingual Mental Health Chatbot with Personalized Voice and Text Support with Rasa and Streamlit
    S Dharshini, SA Raj A, R Venkatesan
    2025 International Conference on Intelligent Computing and Control Systems … , 2025
    2025
    Citations: 7
  • Packet classification based aerial intelligent relay-road side unit (air-rsu) framework for vehicular ad-hoc networks
    ASA Raj, Y Palanichamy
    Peer-to-Peer Networking and Applications 14, 1132–1153 , 2021
    2021
    Citations: 5
  • A Mathematical Queuing Model Analysis Using Secure Data Authentication Framework for Modern Healthcare Applications
    ASA Raj, R Venkatesan, S Malathi, VDA Kumar, E Thenmozhi, ...
    Journal of Sensors 2022, 1-15 , 2022
    2022
    Citations: 4
  • Energy-Efficient Hybrid Detection Framework for Suspicious Software Components in Mobile Applications using Echo State Networks
    H Rawat, A Samson Arun Raj, A González-Torres, P Bhardwaj, ...
    International Journal of Information Technology, 1-12 , 2025
    2025
    Citations: 3
  • An image-based fall detection system for the elderly using yolov5
    S Marshal, SA Raj, TJ Jebaseeli, S Niranjan
    2023 2nd International Conference on Automation, Computing and Renewable … , 2023
    2023
    Citations: 3
  • Ensemble deep learning models for accurate prediction of cardiovascular disease risk: a comparative analysis
    J Midhun, ASA Raj, M Beereddy, SP Gandu, GP Sudha, BH Gandu
    2023 2nd international conference on edge computing and applications (ICECAA … , 2023
    2023
    Citations: 3
  • Digital Literacy Initiatives, Policy Evaluation, and Machine Learning: Cyber Laws and Their Role in Safeguarding Children Online
    H Rawat, P Matta, K Singh, P Muzumdar, ASA Raj, SK Sarangi
    Child Protection Laws and Crime in the Digital Era, 281-304 , 2026
    2026
    Citations: 2
  • A queueing model-based experimental analysis of mobile-energy distribution stations (M-EDS) for smart city urbanization
    SA Raj, V Ramachandran, GN Sundar, S Nachiyappan
    Journal of Advanced Research in Applied Sciences and Engineering Technology … , 2023
    2023
    Citations: 2
  • Detecting Traffic Police Hand Gestures With Movenet Thunder for Self-Driving Cars
    SA Raj
    2025 International Conference on Inventive Computation Technologies (ICICT … , 2025
    2025
    Citations: 1
  • The future of modern transportation for smart cities using trackless tram networks
    A Samson Arun Raj, P Yogesh
    Conversational Artificial Intelligence, 369-384 , 2024
    2024
    Citations: 1
  • Drowsiness Detection Using Adaboost Method and Haar Cascade Classifier to Improve Safety of Drivers
    S Niranjan, TJ Jebaseeli, SA Raj, S Marshal
    Soft Computing: Theories and Applications: Proceedings of SoCTA 2023 1, 131 , 2024
    2024
    Citations: 1
  • Screen Time and Safety: How Parents Can Monitor and Protect Their Kids Online
    AS Yagyanath Rimal, Sunil Parihar, A. Samson Arun Raj, Purvee Bhardwaj ...
    Integrating Parental Consent and Child Engagement With Digital Protection … , 2026
    2026
  • Federated Micro-Expression Mining and Multi-Modal Metadata Fusion for Deepfake Fraud Detection in Ubiquitous Financial Video-KYC Systems at IoT Network
    S Gupta, ASA RAJ, TM Thiyagu
    Franklin Open, 100523 , 2026
    2026