R Chithambaramani

@veltech.edu.in

Associate Professor, Department of Computer Science and Engineering
Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology

R Chithambaramani


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https://researchid.co/chithambaramani
33

Scopus Publications

224

Scholar Citations

6

Scholar h-index

2

Scholar i10-index

Scopus Publications

  • Smart detection of autism spectrum disorder using optimized deep learner for transforming early diagnosis and intervention
    P. Kamaraja Pandian, R. Chithambaramani, M. Sujaritha, C. Gnanaprakasam, P. Rama Mohan, S. Gopalakrishnan
    Evolutionary Intelligence, 2026
  • A Hybrid Deep Learning Approach for Flood Prediction: Integrating ICENet’s Spatial-Temporal Learning with DRAW Optimizer’s Adaptive Weighting
    S. Sathees Babu, J. Jeba Sonia, S. Aarthee, R. Chithambaramani, P. Ganeshkumar
    Water Resources Management, 2025
  • Automated Lab Management System
    Chithambaramani Ramalingam, Sankar Murugesan, Pamarthi Manikanta Swamy
    Aip Conference Proceedings, 2025
  • Cloud Based Student Information Chat BOT
    Chithambaramani Ramalingam, Sankar Murugesan, Kanneti Sai Sunil, Kasturi Komala Krishna, Reddam Sumanth Redddy
    Aip Conference Proceedings, 2025
  • Analyzing Academic Performance of Students Using Machine Learning System
    Sankar Murugesan, Ramalingam Chithambaramani, Bandi Sithamaheshwar Reddy, Sanepalli Venkata Subba Reddy, Gayam Saidi Reddy
    Aip Conference Proceedings, 2025
  • Eskrow A P2P Protocol for Trustless Transactions
    Sankar Murugesan, Ramalingam Chithambaramani, Revanth Rathnavelu, Kadiyala Avinash, Raunak Kumar
    Aip Conference Proceedings, 2025
  • An E-Learning Hub for Young and Old Alike
    Chithambaramani Ramalingam, Sankar Murugesan, Shanmukha Sai Yarra, Govinda Koiri, Harshitha Goud Kandukuri
    Aip Conference Proceedings, 2025
  • A Consistent Augmented Stacking Polynomial Optimized Tool (ASPOT) for Improving Security of Cloud-IoT Systems
    Divya Ramachandran, R. Chithambaramani, S. Sankar Ganesh, D. Silas Stephen
    Journal of Advanced Research in Applied Sciences and Engineering Technology, 2024
    The cloud computing transforms information technology by offering end users simulated, flexible resources on demand that require fewer resources and facilities giving them greater flexibility. These materials are delivered over the Internet using predefined networking protocols, regulations, and styles, and they are overseen by various management groups. There are flaws and vulnerabilities in the underlying technology and legacy protocols that could allow an attacker to get access. A recent assessment of the literature led to the conclusion that most intelligence algorithms have a number of complex issues, including a high false prediction rate, difficulty classifying threats, high processing costs, and system load. Hence, the proposed work aims to develop an innovative and lightweight Augmented Stacking Polynomial Optimized Tool (ASPOT) for strengthening the cloud-IoT system security against modern cyberattacks with a accuracy of 99%. The current study uses the lightweight Deep Augmented Preprocessing Model (DAPM) to clean and normalize the input cyber-attack dataset by executing transformation and normalization operations on it. Furthermore, the Binary Sand Cat Swarm Optimization (BSCSO) technique is utilized to identify the most significant and relevant features of the normalized dataset in an optimal manner. Moreover, the class of assaults is promptly and precisely identified from the given data by applying the Deep Stacking Polynomial Learning Network (DSPLN) technology. The effectiveness and results of the proposed ASPOT method are analysed with the use of current cyber-attack statistics and a variety of assessment metrics.
  • An Efficient Ontology-Based Semantic Interoperability Using MSGO-RNN in Cloud Computing
    Chithambaramani R., Jayashree K., Krishna B. V., Prakash Mohan
    Journal of Optimization, 2024
    Semantic interoperability (SI) is defined as the capability of interpreting the nature of the information exchanged inside cloud computing (CC). For SI, ontology is selected as a solution. A hierarchical structure is offered by an ontology that comprises semantic relations between the application and the cloud server (CS). Even though different methods are introduced, ontology centered on semantic relation between the application and CS is not yet attained for achieving accurate interoperability. An ontology‐centered SI in CC utilizing a modified Shell Game optimization‐centered recurrent neural network (MSGO‐RNN) is presented in this work. Here, accessing the data from the data warehouse is initiated that experiences different standardization functions for improving the data’s quality, namely, data extraction, data cleaning, data transformation, data loading, and refreshing. Then, the data are passed via the semantic layer (SL), which offers a constant way of interpreting data. Then, for enhancing the accuracy rate of interoperability along with offering a low computational time, the relevant feature is chosen utilizing genetic crossover mutation‐centered improved fertile field (GCM‐IFF) optimization. Ontology is created utilizing the Protégé tool centered on the data, and respective manipulation is executed utilizing HermiT ontology web language (OWL) reasoner. Lastly, to attain cloud interoperability, the features are trained and tested by employing the MSGO‐RNN. The experimental outcome exhibits that when compared with the top‐notch methods, an accuracy of 96.32% is acquired by the framework for choosing the CS, and less time of 22567 ms is acquired by the framework for training.
  • Detection and Classification of Bipolar Disorder Syndrome using Deep Learning
    R.M. Dilip Charaan, J Vimala Ithayan, M Sankar, R Chithambaramani, P Sivaprakash, D Marichamy
    Proceedings of the 5th International Conference on Smart Electronics and Communication Icosec 2024, 2024
    Neural networks that are inspired by the way a human brain is structured, are known as artificial neural networks represent a unique class of machine learning algorithms. These algorithms allow artificial neural networks to acquire from data, and make resolutions based on the outcome, just like humans do. Non-linear data models, which have a whole load of variables and inputs, can predict new patterns. Artificial neural networks are already leveraged in everything from medical diagnoses to speech recognition as well as the ever-growing field of machine translation. There are multiple processes involved in the deep learning methodology that the method suggests for classifying bipolar disease. First, clinical and demographic data such as the sample’s age, gender, symptom severity, and medication history would be included in the dataset of bipolar disorder patient samples and control samples. The dataset would next undergo preprocessing to remove any outliers or missing values. In the meantime, standardization and normalization would be applied to the data to ensure that each variable is on a consistent scale. Data scientists may also decide to use feature selection to determine which variables are most useful for overall optimization for classification goals. In this proposed system accuracy is better as compared to the remaining conventional models. This makes it easier for us to select the elements that are most crucial to making our part a real feature. The two models ANN are the final features. Findings demonstrate that deep learning models, like as artificial neural networks (ANNs), are effective in treating neuroinformatics illnesses since datasets are readily available. When it comes to public relations, moods, and the dataset, the deep learning model predicts the correct classes with more precision. A popular application of ANN involves approximating a random function, thereby providing an inexpensive way to get to various statistics characterizing its distribution. In fact, Artificial Neural Networks as well, where they can learn from example data and return different predictions. The power of prediction is much more complex.
  • Sentiment Analysis and Opinion Mining on Social Media Using Machine Learning
    Dilip Charaan R M, Vimala Ithayan. J, Sankar. M, R Chithambaramani, Sivaprakash. P, D Marichamy
    2nd International Conference on Intelligent Cyber Physical Systems and Internet of Things Icoici 2024 Proceedings, 2024
  • Autonomous Android Malware Detection System Based on Static Analysis
    P Sivaprakash, M Sankar, J Vimala Ithayan, R Chithambaramani, R.M.Dilip Charaan, D Marichamy
    2024 International Conference on Integration of Emerging Technologies for the Digital World Icietdw 2024, 2024
  • Historical Strategies Flow Detection for Organizations using Machine Learning
    Dilip Charaan R M, Sankar. M, Sivaprakash. P, Vimala Ithayan. J, R Chithambaramani, D Marichamy
    2024 International Conference on Integration of Emerging Technologies for the Digital World Icietdw 2024, 2024
  • An Individualised Diet Coach Using Ensemble Machine Learning
    Vimala Ithayan. J, Sankar. M, Sivaprakash. P, R. M. DilipCharaan, R Chithambaramani, D Marichamy
    2024 International Conference on Integration of Emerging Technologies for the Digital World Icietdw 2024, 2024
  • Predictive Modeling for Lung Cancer Risk Assessment Using Deep Learning
    R. Chithambaramani, M. Sankar, P Sivaprakash, Manivannan D, J Vimala Ithayan, Prakash Mohan
    2nd International Conference on Intelligent Cyber Physical Systems and Internet of Things Icoici 2024 Proceedings, 2024
  • IPFS-based Blockchain Enabled System for Secure Data Storage and Access in Healthcare
    P Sivaprakash, R.M.Dilip Charaan, J Vimala Ithayan, M Sankar, R Chithambaramani, D Marichamy
    2nd International Conference on Intelligent Cyber Physical Systems and Internet of Things Icoici 2024 Proceedings, 2024
  • Adoption of Cloud Computing in the Healthcare Field Using the SEM Approach
    Human Cancer Diagnosis and Detection Using Exascale Computing, 2024
  • Analysis of Landlord's Land Price Prediction using Machine Learning
    M Sankar, R Chithambaramani, P Sivaprakash, Vimala Ithayan, R. M. Dilip Charaan, D Marichamy
    Proceedings of the 5th International Conference on Smart Electronics and Communication Icosec 2024, 2024
  • SMS Guard: Android Application to Prevent Smishing Attacks
    R. Chithambaramani, M. Sankar, J Vimala ithayan, Manivannan D, P Sivaprakash, Dr Prakash Mohan
    2nd International Conference on Intelligent Cyber Physical Systems and Internet of Things Icoici 2024 Proceedings, 2024
  • Machine Learning Based Abnormal Human Behaviour Detection
    D Marichamy, M Sankar, P Sivaprakash, R Chithambaramani, R.M.Dilip Charaan, J Vimala Ithayan
    2nd International Conference on Intelligent Cyber Physical Systems and Internet of Things Icoici 2024 Proceedings, 2024
  • A Convolutional Neural Network Approach for Crowd Counting
    P Sivaprakash, M Sankar, R Chithambaramani, D Marichamy
    Proceedings of the 4th International Conference on Smart Electronics and Communication Icosec 2023, 2023
  • Storage Network Attached Using Raspberry PI
    R. Chithambaramani, M. Sankar, P. Sivaprakash, D. Marichamy, S. Yazhinian
    2023 International Conference on System Computation Automation and Networking Icscan 2023, 2023
  • Neural Network-Based Handwritten Character Detection
    R. Chithambaramani, M. Sankar, P. Sivaprakash, D. Marichamy, S Yazhinian
    2023 International Conference on System Computation Automation and Networking Icscan 2023, 2023
  • ML Algorithm-Based Healthcare Predictor
    D Marichamy, M Sankar, P Sivaprakash, R Chithambaramani, S Yazhinian
    2023 International Conference on System Computation Automation and Networking Icscan 2023, 2023
  • Regression Method-Based Prediction of Wind Power Generation
    P. Sivaprakash, M. Sankar, R. Chithambaramani, D. Marichamy, S. Yazhinian, J. Vimala Ithayan
    2023 International Conference on System Computation Automation and Networking Icscan 2023, 2023
  • Crop Disease Prediction Using Machine Learning
    P Sivaprakash, M Sankar, R Chithambaramani, D Marichamy, S Yazhinian, J Vimalaithayan
    2023 International Conference on System Computation Automation and Networking Icscan 2023, 2023
  • Addressing semantics standards for cloud portability and interoperability in multi cloud environment
    Chithambaramani Ramalingam, Prakash Mohan
    Symmetry, 2021
  • An efficient applications cloud interoperability framework using i-anfis
    Chithambaramani Ramalingam, Prakash Mohan
    Symmetry, 2021
  • Big data and clustering techniques
    Jayashree K., Chithambaramani R.
    Handbook of Research on Big Data Clustering and Machine Learning, 2019
  • Determining the shortest current flow path using Dijkstra’s algorithm in mess circuit
    International Journal of Innovative Technology and Exploring Engineering, 2019
  • Service cluster approach in enterprise service bus
    Jayashree K, Chithambaramani Ramalingam
    Exploring Enterprise Service Bus in the Service Oriented Architecture Paradigm, 2017
  • Reliability analysis of web services based on runtime fault detection
    Journal of Theoretical and Applied Information Technology, 2014
  • A fault ontology for managing run-time faults in web services
    Asian Journal of Information Technology, 2013

RECENT SCHOLAR PUBLICATIONS

  • Smart detection of autism spectrum disorder using optimized deep learner for transforming early diagnosis and intervention
    PK Pandian, R Chithambaramani, M Sujaritha, C Gnanaprakasam, ...
    Evolutionary Intelligence 19 (2), 45 , 2026
    2026
  • A hybrid deep learning approach for flood prediction: integrating icenet’s spatial-temporal learning with DRAW optimizer’s adaptive weighting
    S Sathees Babu, JJ Sonia, S Aarthee, R Chithambaramani, ...
    Water Resources Management 39 (14), 7385-7415 , 2025
    2025
    Citations: 5
  • ESKROW A P2P protocol for trustless transactions
    S Murugesan, R Chithambaramani, R Rathnavelu, K Avinash, R Kumar
    AIP Conference Proceedings 3175 (1), 030009 , 2025
    2025
  • Analyzing academic performance of students using machine learning system
    S Murugesan, R Chithambaramani, BS Reddy, SVS Reddy, GS Reddy
    AIP Conference Proceedings 3175 (1), 020064 , 2025
    2025
  • Analysis of Landlord’s Land Price Prediction using Machine Learning
    M Sankar, R Chithambaramani, P Sivaprakash, V Ithayan, RMD Charaan, ...
    2024 5th International Conference on Smart Electronics and Communication … , 2024
    2024
    Citations: 5
  • Detection and Classification of Bipolar Disorder Syndrome using Deep Learning
    RMD Charaan, JV Ithayan, M Sankar, R Chithambaramani, ...
    2024 5th International Conference on Smart Electronics and Communication … , 2024
    2024
    Citations: 4
  • An Individualised Diet Coach Using Ensemble Machine Learning
    RM DilipCharaan, R Chithambaramani, D Marichamy
    2024 International Conference on Integration of Emerging Technologies for … , 2024
    2024
    Citations: 2
  • Autonomous android malware detection system based on static analysis
    P Sivaprakash, M Sankar, JV Ithayan, R Chithambaramani, ...
    2024 International Conference on Integration of Emerging Technologies for … , 2024
    2024
    Citations: 3
  • Historical Strategies Flow Detection for Organizations using Machine Learning
    DC RM, R Chithambaramani, D Marichamy
    2024 International Conference on Integration of Emerging Technologies for … , 2024
    2024
  • Machine learning based abnormal human behaviour detection
    D Marichamy, M Sankar, P Sivaprakash, R Chithambaramani, ...
    2024 Second International Conference on Intelligent Cyber Physical Systems … , 2024
    2024
    Citations: 6
  • Ipfs-based blockchain enabled system for secure data storage and access in healthcare
    P Sivaprakash, RMD Charaan, JV Ithayan, M Sankar, ...
    2024 Second International Conference on Intelligent Cyber Physical Systems … , 2024
    2024
    Citations: 5
  • Predictive Modeling for Lung Cancer Risk Assessment Using Deep Learning
    R Chithambaramani, M Sankar, P Sivaprakash, JV Ithayan, P Mohan
    2024 Second International Conference on Intelligent Cyber Physical Systems … , 2024
    2024
    Citations: 1
  • Sentiment analysis and opinion mining on social media using machine learning
    DC RM, R Chithambaramani, D Marichamy
    2024 Second International Conference on Intelligent Cyber Physical Systems … , 2024
    2024
    Citations: 3
  • SMS Guard: Android Application to Prevent Smishing Attacks
    R Chithambaramani, M Sankar, P Sivaprakash, P Mohan
    2024 Second International Conference on Intelligent Cyber Physical Systems … , 2024
    2024
    Citations: 2
  • An Efficient Ontology‐Based Semantic Interoperability Using MSGO‐RNN in Cloud Computing.
    C R, J K, K B V, P Mohan, T Dede
    Journal of Optimization 2024 , 2024
    2024
    Citations: 3
  • Adoption of Cloud Computing in the Healthcare Field Using the SEM Approach
    R Chithambaramani, C Balakumar, DK Sharma, K Patel, B Jamalpur, ...
    Human Cancer Diagnosis and Detection Using Exascale Computing, 101-114 , 2024
    2024
  • A consistent augmented stacking polynomial optimized tool (ASPOT) for improving security of cloud-IoT systems
    D Ramachandran, R Chithambaramani, SS Ganesh, MD Babu
    J. adv. res. appl. engr. Technol 37 (1), 16-36 , 2024
    2024
    Citations: 2
  • Neural Network-Based Handwritten Character Detection
    R Chithambaramani, M Sankar, P Sivaprakash, D Marichamy, ...
    2023 International Conference on System, Computation, Automation and … , 2023
    2023
    Citations: 2
  • Crop Disease Prediction Using Machine Learning
    P Sivaprakash, M Sankar, R Chithambaramani, D Marichamy, ...
    2023 International Conference on System, Computation, Automation and … , 2023
    2023
    Citations: 2
  • Regression method-based prediction of wind power generation
    P Sivaprakash, M Sankar, R Chithambaramani, D Marichamy, ...
    2023 International Conference on System, Computation, Automation and … , 2023
    2023
    Citations: 6

MOST CITED SCHOLAR PUBLICATIONS

  • Addressing semantics standards for cloud portability and interoperability in multi cloud environment
    C Ramalingam, P Mohan
    Symmetry 13 (2), 317 , 2021
    2021
    Citations: 95
  • An efficient applications cloud interoperability framework using I-anfis
    C Ramalingam, P Mohan
    Symmetry 13 (2), 268 , 2021
    2021
    Citations: 34
  • A Fault Ontology for Managing Run-Time Faults in Web Services
    SARC K. Jayashree
    Asian Journal of Information Technology 12 (2), 60-69 , 2013
    2013
    Citations: 8
  • Machine learning based abnormal human behaviour detection
    D Marichamy, M Sankar, P Sivaprakash, R Chithambaramani, ...
    2024 Second International Conference on Intelligent Cyber Physical Systems … , 2024
    2024
    Citations: 6
  • Regression method-based prediction of wind power generation
    P Sivaprakash, M Sankar, R Chithambaramani, D Marichamy, ...
    2023 International Conference on System, Computation, Automation and … , 2023
    2023
    Citations: 6
  • Big Data and Clustering Techniques
    K Jayashree, R Chithambaramani
    Handbook of Research on Big Data Clustering and Machine Learning, 1-9 , 2020
    2020
    Citations: 6
  • Determining the shortest current flow path using Dijkstra’s algorithm in mess circuit
    S Chithambaramani, R., Prakash, M., Angel Latha Mary
    International Journal of Innovative Technology and Exploring Engineering 8 … , 2019
    2019
    Citations: 6
  • Service Cluster Approach in Enterprise Service Bus
    K Jayashree, C Ramalingam
    Exploring Enterprise Service Bus in the Service-Oriented Architecture … , 2017
    2017
    Citations: 6
  • Reliability analysis of web services based on runtime fault detection.
    K Jayashree, S ANAND, R Chithambaramani
    Journal of Theoretical & Applied Information Technology 65 (2) , 2014
    2014
    Citations: 6
  • A hybrid deep learning approach for flood prediction: integrating icenet’s spatial-temporal learning with DRAW optimizer’s adaptive weighting
    S Sathees Babu, JJ Sonia, S Aarthee, R Chithambaramani, ...
    Water Resources Management 39 (14), 7385-7415 , 2025
    2025
    Citations: 5
  • Analysis of Landlord’s Land Price Prediction using Machine Learning
    M Sankar, R Chithambaramani, P Sivaprakash, V Ithayan, RMD Charaan, ...
    2024 5th International Conference on Smart Electronics and Communication … , 2024
    2024
    Citations: 5
  • Ipfs-based blockchain enabled system for secure data storage and access in healthcare
    P Sivaprakash, RMD Charaan, JV Ithayan, M Sankar, ...
    2024 Second International Conference on Intelligent Cyber Physical Systems … , 2024
    2024
    Citations: 5
  • Storage network attached using Raspberry Pi
    R Chithambaramani, M Sankar, P Sivaprakash, D Marichamy, ...
    2023 International Conference on System, Computation, Automation and … , 2023
    2023
    Citations: 5
  • A convolutional neural network approach for crowd counting
    P Sivaprakash, M Sankar, R Chithambaramani, D Marichamy
    2023 4th International Conference on Smart Electronics and Communication … , 2023
    2023
    Citations: 5
  • Detection and Classification of Bipolar Disorder Syndrome using Deep Learning
    RMD Charaan, JV Ithayan, M Sankar, R Chithambaramani, ...
    2024 5th International Conference on Smart Electronics and Communication … , 2024
    2024
    Citations: 4
  • Autonomous android malware detection system based on static analysis
    P Sivaprakash, M Sankar, JV Ithayan, R Chithambaramani, ...
    2024 International Conference on Integration of Emerging Technologies for … , 2024
    2024
    Citations: 3
  • Sentiment analysis and opinion mining on social media using machine learning
    DC RM, R Chithambaramani, D Marichamy
    2024 Second International Conference on Intelligent Cyber Physical Systems … , 2024
    2024
    Citations: 3
  • An Efficient Ontology‐Based Semantic Interoperability Using MSGO‐RNN in Cloud Computing.
    C R, J K, K B V, P Mohan, T Dede
    Journal of Optimization 2024 , 2024
    2024
    Citations: 3
  • An Individualised Diet Coach Using Ensemble Machine Learning
    RM DilipCharaan, R Chithambaramani, D Marichamy
    2024 International Conference on Integration of Emerging Technologies for … , 2024
    2024
    Citations: 2
  • SMS Guard: Android Application to Prevent Smishing Attacks
    R Chithambaramani, M Sankar, P Sivaprakash, P Mohan
    2024 Second International Conference on Intelligent Cyber Physical Systems … , 2024
    2024
    Citations: 2