Dhaya C

@apec.edu.in

Professor, Computer Science and Engineering
Adhiparasakthi Engineering College

Dhaya C


               Download Compact PDF  
https://researchid.co/dhayachinnathambi

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Networks and Communications, Artificial Intelligence, Computer Science, Computer Vision and Pattern Recognition
23

Scopus Publications

128

Scholar Citations

6

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • AI-Assisted Mathematical Techniques for Sustainable Waste Control in Industrial Environments
    C. Dhaya, G. Niranjana, B. Karthiga, S. Hemavathi
    De Gruyter Proceedings in Mathematics, 2026
  • Firewall-Z: Leveraging AI Mathematical Modeling for Real-Time Threat Detection
    C. Dhaya, Fitri Yakub, R. Dhanalakshmi, Namin Sri Nandhan, Anne Anoop, et al.
    De Gruyter Proceedings in Mathematics, 2026
  • A Flask-Enabled Web Platform for Multilingual Sentiment Mining Using AI- Driven Mathematical Models
    C. Dhaya, Balaji, Deepak, Maheshwaran, Vignesh, Amrita Biju
    De Gruyter Proceedings in Mathematics, 2026
  • Blockchain and the Water Supply Chain: Opportunities, Challenges and Innovations
    Blockchain and the Water Supply Chain Opportunities Challenges and Innovations, 2025
    Blockchain and the Water Supply Chain explores the transformative potential of blockchain technology in ensuring sustainable, transparent and efficient water governance. Placing water at the center of smart infrastructure innovation, the book addresses the urgent need for trustworthy and traceable systems in the distribution and management of water resources. This book also delves into how blockchain can revolutionize the water supply chain through decentralized monitoring, smart contracts and immutable data records to reduce losses, enhance accountability and enable real-time decision making. It analyzes key challenges such as interoperability, scalability and regulatory hurdles, while also showcasing innovative use cases and pilot projects across the globe. With contributions from experts in water management, blockchain and environmental policy, this book bridges the gap between digital innovation and sustainable resource management, and is an essential guide for researchers, policymakers and technologists aiming to reshape the future of water systems.
  • Preface
    Blockchain and the Water Supply Chain Opportunities Challenges and Innovations, 2025
  • Blockchain-powered DeFi: Transforming Water Project Financing for a Sustainable Future
    R. SHYAMALA, D. PRABAKARAN, C. DHAYA, S. Chaarumathi, Uma PERUMAL, V. Senthil KUMARAN
    Blockchain and the Water Supply Chain Opportunities Challenges and Innovations, 2025
    This chapter describes how decentralized finance (DeFi) protocols, liquidity pools and decentralized autonomous organizations can revolutionize water project finance by capital universalization, middleman elimination, and traceable and instant transactions. Green finance emphasizes investment that directs long-term environmental, social and governance (ESG) objectives. Water infrastructure is one of the primary drivers of green growth, and blockchain-based DeFi applications improve ESG. Traditional models of water infrastructure investment finance have been marred by numerous obstacles that limit their efficiency, coverage and scalability. There are several DeFi models in existence today,each trying to solve various needs of finance, from lending and borrowing to decentralized exchange, stablecoins and yield farming. Water infrastructure schemes such as building sustainable water supply systems, desalination plants, irrigation systems and wastewater treatment plants are costly and require massive capital investment. DeFi allows water infrastructure projects to be tokenized and investors to invest in fractionality.
  • Evolving security measures for IoT medical data in cloud environments
    C. Dhaya, G. Niranjana, B. Prakash
    Evolving Systems, 2025
  • Enhancing User Sentiment Analysis of Social Media Reviews using Fuzzy Inference Opinion Mining and Deep Learning for Predicting Consumer Reconstruction Intent
    S. Abarna Sakthivel, Dhaya Chinnathambi, Punitha. S
    Proceedings of the 2025 11th International Conference on Communication and Signal Processing Iccsp 2025, 2025
    Social media's explosive growth has made it an invaluable tool for user Sentiment Analysis (SA) and buyer behavior research. However, several obstacles must be overcome to extract valuable data from the vast amount of unstructured social media reviews, especially when accurately predicting customer reconstruction intentions. This paper presents a unique solution to these challenges by combining fuzzy reasoning with a hybrid Deep Convolutional Neural Network-Multi BiDirectional Long Short-Term Memory (DCNN-mBiLSTM) architecture to enhance customer SA through opinion mining. The mBiLSTM captures long-term dependencies from text reviews, enabling more precise intent forecasting, while the DCNN extracts local features from the reviews. Fuzzy logic is incorporated to address uncertainty and unpredictability in customer attitudes, improving the accuracy of sentiment classification. The study aims to enhance SA and intent forecasting precision while providing valuable insights into users' reconstruction intentions. The results demonstrate that the proposed DCNN-mBiLSTM algorithm, combined with fuzzy inference, significantly outperforms Existing SA techniques in predicting preferences and forecasting customer behavior.
  • Securing Sustainable Supply Chains Through Blockchain and AI Integration
    Dhaya CHINNATHAMBI, Deva DINESH, Madhavan SHANMUGAVEL, Vani SHANMUGADASS
    Sustainable Supply Chains and Carbon Footprint Reduction the Blockchain Advantage, 2025
    Artificial intelligence (AI) and blockchain allows us to think of unique solutions. AI focuses on anomaly detection, predictive analytics and timely threat hunting, and is the backbone of the proactive defense against evolving cyber threats. This chapter explores the role of AI in anomaly detection and malware prevention, as well as blockchain for data integrity verification, and forensic threat analysis. It shows how AI and blockchain resolution are used for robust cybersecurity solutions on a global scale, which takes in the past few cyber incidents and applies object-oriented methodology. The data analysis phase was segmented into three parallel streams: statistical analysis, machine learning model development and qualitative thematic analysis. The convergence of AI and blockchain technologies holds immense promise for transforming the cybersecurity landscape. It is important to develop a strong ethical model so that AI technologies can contribute to the security without infringing human rights and social values.
  • Blockchain for Sustainable Agriculture: Enhancing Supply Chain Transparency and Reducing Carbon Footprint
    R. DHANALAKSHMI, Dhaya CHINNATHAMBI, Sahaya Beni PRATHIBA, N. VIJAYARAGHAVAN
    Sustainable Supply Chains and Carbon Footprint Reduction the Blockchain Advantage, 2025
    Agriculture plays a crucial role in global food production and economic stability. This chapter presents an overview of how blockchain, when combined with artificial intelligence and the Internet of Things (IoT), can transform agricultural supply chains. It discusses the technical potential, areas of application, advantages, disadvantages and prospects of this technology in the context of smart agriculture to support secure, transparent and efficient food systems. The chapter establishes an automated control system for paddy cultivation using a real-time IoT-based system that integrates blockchain technology and deep learning algorithms. IoT sensors monitor soil moisture, temperature and crop health. A conceptual future framework integrates blockchain with decentralized finance to create tamper-proof, on-chain credit histories for farmers.
  • Sustainable Supply Chains and Carbon Footprint Reduction: The Blockchain Advantage
    Sustainable Supply Chains and Carbon Footprint Reduction the Blockchain Advantage, 2025
  • Preface
    Sustainable Supply Chains and Carbon Footprint Reduction the Blockchain Advantage, 2025
  • Preface
    Deep Generative Models for Integrative Analysis of Alzheimer S Biomarkers, 2024
  • Deep Generative Models for Integrative Analysis of Alzheimer's Biomarkers
    Kumar, Abhishek 1989-, Sakthivel, Rakesh, Gayathri, N., Srivel, R., C., Dhaya
    Deep Generative Models for Integrative Analysis of Alzheimer S Biomarkers, 2024
  • Big Data Analytics: NeuroDetect - AI-Driven Big Data Analytics for Alzheimer's Disease
    K. Chairmadurai, G. Srinivasan, G. Sekar, Dhaya Chinnathambi, A. Jayanthi, B. Bharath Kumar
    Deep Generative Models for Integrative Analysis of Alzheimer S Biomarkers, 2024
  • Algorithmic Trading Model for Stock Price Forecasting Integrating Forester with Golden Ratio Strategy
    Niranjana Govindan, Bharathi Baskaran, Azizul Azizan, Fitri Yakub, Inge Dhamanti, C Dhaya
    IEEE Region 10 Humanitarian Technology Conference R10 Htc, 2024
  • Quantum computing for dengue fever outbreak prediction: Machine learning and genetic hybrid algorithms approach
    Dhaya Chinnathambi, Srivel Ravi, Mohammed Abdul Matheen, Saravanan Pandiaraj
    Quantum Innovations at the Nexus of Biomedical Intelligence, 2023
  • Embedded video surveillance based moving object detection and tracking
    , Dhaya Chinnathambi*, Poonkavithai Kalamegam, and
    International Journal of Recent Technology and Engineering, 2019
  • Message from General Chair
    Proceedings 2017 International Conference on Technical Advancements in Computers and Communication Ictacc 2017, 2017
  • Malware detection in Iaas cloud computing using time based detection mechanisms
    C. Dhaya, N. Abirami
    Proceedings 2017 International Conference on Technical Advancements in Computers and Communication Ictacc 2017, 2017
  • Developing a Prediction Model for Stock Analysis
    R. Yamini Nivetha, C. Dhaya
    Proceedings 2017 International Conference on Technical Advancements in Computers and Communication Ictacc 2017, 2017
  • Combined architectural framework for the selection of architectures using ATAM, FAHP and CBAM
    C. Dhaya, G. Zayaraz
    International Journal of Computer Applications in Technology, 2016
  • Development of multiple architectural designs using ADUAK
    C. Dhaya, G. Zayaraz
    2012 International Conference on Communication and Signal Processing Iccsp 2012, 2012

RECENT SCHOLAR PUBLICATIONS

  • Explainable AI for Transparent and Trustworthy Medical Decision Support
    A Kumar, D Chinnathambi, RJ Ramírez, A Quezada, PS Rathore
    Morgan Kaufmann , 2026
    2026
  • Firewall-Z: Leveraging AI Mathematical Modeling for Real-Time Threat Detection
    C Dhaya, F Yakub, R Dhanalakshmi, NS Nandhan, A Anoop, ...
    Mathematical Methods in Artificial Intelligence: Intelligent Systems, 469 , 2026
    2026
  • AI-Assisted Mathematical Techniques for Sustainable Waste Control in Industrial Environments
    C Dhaya, G Niranjana, B Karthiga, S Hemavathi
    Walter de Gruyter GmbH & Co KG , 2026
    2026
  • Securing Sustainable Supply Chains Through Blockchain and AI Integration
    D CHINNATHAMBI, D DINESH, M SHANMUGAVEL, V SHANMUGADASS
    Sustainable Supply Chains and Carbon Footprint Reduction: The Blockchain … , 2025
    2025
  • Blockchain for Sustainable Agriculture: Enhancing Supply Chain Transparency and Reducing Carbon Footprint
    R DHANALAKSHMI, D CHINNATHAMBI, SB PRATHIBA, ...
    Sustainable Supply Chains and Carbon Footprint Reduction: The Blockchain … , 2025
    2025
  • Blockchain and the Water Supply Chain: Opportunities, Challenges and Innovations
    A Kumar, P Batta, SO Manoj, D Chinnathambi, S Ravi
    John Wiley & Sons , 2025
    2025
  • Mathematical Methods in Artificial Intelligence: Algorithm Optimization, Intelligent Systems, Blockchain, Cryptography and Cybersecurity
    A Kumar, R Juárez Ramírez, MA Quezada, D Chinnathambi
    De Gruyter , 2025
    2025
  • Evolving security measures for IoT medical data in cloud environments
    C Dhaya, G Niranjana, B Prakash
    Evolving Systems 16 (3), 80 , 2025
    2025
    Citations: 3
  • Enhancing User Sentiment Analysis of Social Media Reviews using Fuzzy Inference Opinion Mining and Deep Learning for Predicting Consumer Reconstruction Intent
    SA Sakthivel, D Chinnathambi
    2025 11th International Conference on Communication and Signal Processing … , 2025
    2025
    Citations: 1
  • Sustainable Supply Chains and Carbon Footprint Reduction
    P Batta, A Kumar, SO Manoj, D Chinnathambi
    2025
  • Big Data Analytics: NeuroDetect-AI-Driven Big Data
    K Chairmadurai, G Srinivasan, G Sekar, D Chinnathambi, A Jayanthi, ...
    Deep Generative Models for Integrative Analysis of Alzheimer's Biomarkers, 175 , 2024
    2024
    Citations: 2
  • Algorithmic trading model for stock price forecasting integrating forester with golden ratio strategy
    N Govindan, B Baskaran, A Azizan, F Yakub, I Dhamanti, C Dhaya
    2024 IEEE 12th region 10 humanitarian technology conference (R10-HTC), 1-6 , 2024
    2024
    Citations: 1
  • Quantum computing for dengue fever outbreak prediction: machine learning and genetic hybrid algorithms approach
    D Chinnathambi, S Ravi, MA Matheen, S Pandiaraj
    Quantum Innovations at the Nexus of Biomedical Intelligence, 167-179 , 2024
    2024
    Citations: 8
  • Early detection of Parkinson's disease using deep learning: a convolutional bi-directional GRU approach
    D Chinnathambi, S Ravi, H Dhanasekaran, V Dhandapani, R Rao, ...
    Intelligent Technologies and Parkinson’s Disease: Prediction and Diagnosis … , 2024
    2024
    Citations: 13
  • Enhancing Parkinson's disease diagnosis through Mayfly-optimized CNN BiGRU classification: A performance evaluation
    H Dhanaskaran, D Chinnathambi, S Ravi, V Dhandapani, MVR Rao, ...
    Intelligent Technologies and Parkinson’s Disease: Prediction and Diagnosis … , 2024
    2024
    Citations: 7
  • A Simple Robot Selection Criteria After Path Planning Using Wavefront Algorithm
    VS Rajashekhar, C Dhaya, DR CK, P Dharshan, M Kumar, B Harish, ...
    arXiv preprint arXiv:2307.16157 , 2023
    2023
  • Diabetic Retinopathy Classification Using LENET-5 Classifier
    DBP Dr. C. Dhaya
    NeuroQuantology 20 (8), 9071-9079 , 2022
    2022
  • ANOVA Validation and Machine Learning Metrics Verification for Crop Yield Prediction Based on Soil Parameters, Climatic and Temperature Conditions
    DC Dhaya
    International Journal of Advanced Science and Technology, 7895-7909 , 2020
    2020
  • Analysis of Dengue Fever Identification for the Kanchipuram District using MachineLearning
    DC Dhaya
    Test engineering and Management 83, 7850 – 7853 , 2020
    2020
  • Application of Architectural Knowledge Based Genetic Algorithm And Fuzzy Topsis In Decision Making
    DC Dhaya
    International Journal of Psychosocial Rehabilitation 24 (8) , 2020
    2020

MOST CITED SCHOLAR PUBLICATIONS

  • Developing a prediction model for stock analysis
    RY Nivetha, C Dhaya
    2017 International conference on technical advancements in computers and … , 2017
    2017
    Citations: 59
  • Early detection of Parkinson's disease using deep learning: a convolutional bi-directional GRU approach
    D Chinnathambi, S Ravi, H Dhanasekaran, V Dhandapani, R Rao, ...
    Intelligent Technologies and Parkinson’s Disease: Prediction and Diagnosis … , 2024
    2024
    Citations: 13
  • Fuzzy based quantitative evaluation of architectures using architectural knowledge
    C Dhaya, G Zayaraz
    International Journal of Advanced Science and Technology 49, 137-154 , 2012
    2012
    Citations: 12
  • Quantum computing for dengue fever outbreak prediction: machine learning and genetic hybrid algorithms approach
    D Chinnathambi, S Ravi, MA Matheen, S Pandiaraj
    Quantum Innovations at the Nexus of Biomedical Intelligence, 167-179 , 2024
    2024
    Citations: 8
  • Enhancing Parkinson's disease diagnosis through Mayfly-optimized CNN BiGRU classification: A performance evaluation
    H Dhanaskaran, D Chinnathambi, S Ravi, V Dhandapani, MVR Rao, ...
    Intelligent Technologies and Parkinson’s Disease: Prediction and Diagnosis … , 2024
    2024
    Citations: 7
  • Development of multiple architectural designs using ADUAK
    C Dhaya, G Zayaraz
    2012 International Conference on Communication and Signal Processing, 93-97 , 2012
    2012
    Citations: 7
  • Combined architectural framework for the selection of architectures using ATAM, FAHP and CBAM
    C Dhaya, G Zayaraz
    International Journal of Computer Applications in Technology 54 (4), 350-361 , 2016
    2016
    Citations: 6
  • A Survey on Decision based Software Architecture Design Approaches
    G Zayaraz, C Dhaya, V Vijayalakshmi
    Journal of Computing 3 (12), 93-101 , 2011
    2011
    Citations: 5
  • Evolving security measures for IoT medical data in cloud environments
    C Dhaya, G Niranjana, B Prakash
    Evolving Systems 16 (3), 80 , 2025
    2025
    Citations: 3
  • Software Architecture Evaluation using Multivariate Statistical Analysis
    G Zayaraz, JSI Shah, C Dhaya, V Vijayalakshmi
    International Journal of Computer Applications 35 (8), 1-9 , 2011
    2011
    Citations: 3
  • Big Data Analytics: NeuroDetect-AI-Driven Big Data
    K Chairmadurai, G Srinivasan, G Sekar, D Chinnathambi, A Jayanthi, ...
    Deep Generative Models for Integrative Analysis of Alzheimer's Biomarkers, 175 , 2024
    2024
    Citations: 2
  • Enhancing User Sentiment Analysis of Social Media Reviews using Fuzzy Inference Opinion Mining and Deep Learning for Predicting Consumer Reconstruction Intent
    SA Sakthivel, D Chinnathambi
    2025 11th International Conference on Communication and Signal Processing … , 2025
    2025
    Citations: 1
  • Algorithmic trading model for stock price forecasting integrating forester with golden ratio strategy
    N Govindan, B Baskaran, A Azizan, F Yakub, I Dhamanti, C Dhaya
    2024 IEEE 12th region 10 humanitarian technology conference (R10-HTC), 1-6 , 2024
    2024
    Citations: 1
  • Malware Detection in Iaas Cloud Computing Using Time Based Detection Mechanisms
    C Dhaya, N Abirami
    2017 International Conference on Technical Advancements in Computers and … , 2017
    2017
    Citations: 1
  • Explainable AI for Transparent and Trustworthy Medical Decision Support
    A Kumar, D Chinnathambi, RJ Ramírez, A Quezada, PS Rathore
    Morgan Kaufmann , 2026
    2026
  • Firewall-Z: Leveraging AI Mathematical Modeling for Real-Time Threat Detection
    C Dhaya, F Yakub, R Dhanalakshmi, NS Nandhan, A Anoop, ...
    Mathematical Methods in Artificial Intelligence: Intelligent Systems, 469 , 2026
    2026
  • AI-Assisted Mathematical Techniques for Sustainable Waste Control in Industrial Environments
    C Dhaya, G Niranjana, B Karthiga, S Hemavathi
    Walter de Gruyter GmbH & Co KG , 2026
    2026
  • Securing Sustainable Supply Chains Through Blockchain and AI Integration
    D CHINNATHAMBI, D DINESH, M SHANMUGAVEL, V SHANMUGADASS
    Sustainable Supply Chains and Carbon Footprint Reduction: The Blockchain … , 2025
    2025
  • Blockchain for Sustainable Agriculture: Enhancing Supply Chain Transparency and Reducing Carbon Footprint
    R DHANALAKSHMI, D CHINNATHAMBI, SB PRATHIBA, ...
    Sustainable Supply Chains and Carbon Footprint Reduction: The Blockchain … , 2025
    2025
  • Blockchain and the Water Supply Chain: Opportunities, Challenges and Innovations
    A Kumar, P Batta, SO Manoj, D Chinnathambi, S Ravi
    John Wiley & Sons , 2025
    2025