Currently I am doing My Ph.D Research in "AI oceanography using Remote sensing in Ocean color" @National Institute of Technology Puducherry.
Looking for collaboration.
I am an enthusiastic computer Science engineering student won the Merit-Cum-Means Scholarship in all four semesters of P.G. - Mater of Technology @Pondicherry University.
I have completed my Bachelor of Engineering @Anna Unievrsity (Affiliated College).
I have worked in Infosys for 1.4 Year as CSR and then worked as a JRF for 1 year in Velammal Insitute of Technology Chennai.
RESEARCH, TEACHING, or OTHER INTERESTS
Artificial Intelligence, Oceanography, Computer Engineering, Statistics and Probability
An Explainable and Computationally Efficient Deepfake Detection Framework Employing XGBoost for Image and Video Media Dhivya K, Neeraj Kumar M P, Jitesh Gowda G R, Naveen B 2025 1st International Conference on Advancement in Futuristic Technologies Icaft 2025, 2025 The rapid growth of generative models has led to the creation of convincing fake media. This raises concerns about the spread of misinformation and the loss of trust in digital content. As a result, developing effective and accurate methods for detecting deepfakes is essential in digital forensics. This paper presents a lightweight and clear deepfake detection framework that uses the extreme Gradient Boosting (XGBoost) algorithm. Instead of depending on complex deep convolutional network representations, this system focuses on learning from specific features. It extracts important facial and texture-based descriptors from the FaceForensics++ dataset to classify media as real or fake. By modeling the complex, non-linear relationships between these features, XGBoost can detect subtle, systematic inconsistencies that occur during the forgery process. One significant benefit of this model is its natural interpretability. Through feature importance analysis, it clearly shows how each feature affects the final classification. Experimental results demonstrate that this framework achieves high accuracy in detection with a peak Accuracy of 94.8% and an F1-score of 94.7% while keeping a low computational cost, making it well-suited for real-world media authentication systems. Overall, the XGBoost-based approach provides a reliable balance between performance, clarity, and efficiency in detecting deepfake images and videos.
Industry automation: The contributions of artificial intelligence Industry Automation the Technologies Platforms and Use Cases, 2024
Nature-Inspired Algorithms for Computational Intelligence Theory—A State-of-the-Art Review B. Akoramurthy, K. Dhivya, B. Surendiran Computational Intelligence Theory and Applications, 2024 The history of computational intelligence can be traced back to several decades ago. Several technologies such as evolutionary computation, neural networks, and fuzzy systems were fused together to be called CI technologies. Nature-inspired algorithms, which are more adaptable and effective at addressing optimization issues, have changed over time. Many different types of nature-inspired algorithms are now being developed, and the majority of them are focused on self-organizing communities of nature and optimization issues. This article gives a state-of-the-art assessment of a few popular optimization techniques. Its key traits have been examined and compared to other established methods like gradient-based and gradient-free algorithms. Additionally, certain unresolved issues with optimization and metaheuristics methods were identified, which should be helpful for further work.
Decision Support System for Digital Twin-based Smart Manufacturing Systems and Design in Industry 5.0 B. Akoramurthy, B. Surendiran, K. Dhivya, Subrata Chowdhury, Ramya Govindaraj, Gautam Srivastava Digital Twins in Industrial Production and Smart Manufacturing an Understanding of Principles Enhancers and Obstacles, 2024 Risk-free management is critical for achieving human-centric industrialization, as envisioned by Factory 5.0, which calls for the unification of man-machine and working environment safety, which is knowledge-oriented. Occupational safety in factories has come a long way, but there is still a long way to go before it catches up. In order to do that we define three issues that must be tackled: the use of the existing safety methods and management strategies, identifying and assessing the cause of risky situations, and being able to provide insights into the intricate interplay of man-machine interaction context. To solve the identified issues, a reasoning technique grounded on digital twins (DTs) is proposed for industrially risky situations. First, we present the inference engine framework, which deduces a fresh fact from the old one, followed by a visual representation of the ontology of risky situations or states of a working environment. Following the generation of the digital datasets, a high-fidelity DT was developed to mimic all potentially dangerous circumstances. After that, the digital dataset is combined with the original dataset for schooling and examining the identified system, which senses risky or hazardous situations connected to the inference framework for reasoning. Finally, a trial shows that the recommended practice methods are capable of addressing the identified three issues.
Advances of Unmanned Autonomous Vehicle and Its Communication Systems B. Akoramurthy, K. Dhivya Underwater Vehicle Control and Communication Systems Based on Machine Learning Techniques, 2023 UAV: a shortened form for Unmanned Autonomous Vehicle, but also a simpler method of solving complex tasks in military and civil applications such as ocean farming, etc. The chapter provides context and milieu for unmanned aircraft or drones and their systems, such as communication systems, with an emphasis on commercial or user applications. It talks about the types of drones or aircraft petroleum, load size, fastness, and durability. Also, it reflects the current trends in flight engineering and technical aspects of drones and their communication systems and the benefits of drones and their networks, which will also include boosted spatial cognizance and concentrated delay in drone communications among their systems. The chapter exhibits the various applications of drones, possibilities of new study, and the problems or challenges involved in scheming, emerging, and installing aircraft systems, and a plan for investigating drone systems. The chapter charts the technical challenges and various optimised parameters of drone systems and discusses several drone projects that have been established over the last few years. Models of mobile drone systems were fleetingly debated.
A blockchain approach to improving digital linked Management Information Systems (MIS) B. Akoramurthy, K. Dhivya, G. Vennira Selvi, M. Prasad Data Driven Blockchain Ecosystem Fundamentals Applications and Emerging Technologies, 2022 In the era of intelligent automation (industry 5.0), every Management Information System (MIS) espouses with disruptive technologies such as deep learning, big data and artificial intelligence and will be able to do real time data manipulation that raises a new range of novelties, newer business processes and models and larger business perfections. MIS are commonly managed by particular organizations which exhibit the central control and participants are limited to the organization itself whereas blockchain systems are managed in a distributed environment which exhibits public control and anyone can join and partake. Conversely, the amalgamation of MIS with blockchain will enjoy the shield of blockchain Trinity (Decentralization, Trust & Immutability). Traditional MIS are the participatory social web kind we are currently using, whereas the proposed digital linked Management Information System based on blockchain incorporates its merits. This chapter comes out with the framework of integrating traditional MIS web 2.0 applications with web 3.0 digital linked advanced metadata applications. Furthermore, the work consists of upgraded PINSI algorithm for a transaction process and a new smart contract was implemented to trade-off. The new smart contracts diminish the amount of data and improves query efficiency. Finally, an information query system has been added as a new feature in the proposed system and after being examined the middling time for every query is 30.210 milliseconds in the blockchain system which has greater performance and improved query efficiency.
RECENT SCHOLAR PUBLICATIONS
Kolmogorov-Arnold Networks for Marine Aquaculture Site Suitability: A Case Study in the Southeastern Sea of Tamil Nadu Dhivya.K, Dr. Venkatesan.M, and Prabhavathy.P 2025 IEEE International Conference on Next-Gen Technologies of Artificial … , 2025 2025
Physics-Informed Conv-LSTM Model for Marine Ecosystems: Predicting Chlorophyll in Karaikal from 2026 to 2028 PP Dhivya K, Venkatesan M 7 th International Conference on Ocean Engineering (ICOE 2025) With a theme … , 2025 2025
PE-LiNN: A Hybrid Physics-AI Framework for Predicting Ocean Color Chlorophyll-a Concentration in the Karaikal Region Using Remote Sensing Data DSBDVM Akoramurthy.B, Dhivya.K 7 th International Conference on Ocean Engineering (ICOE 2025) With a theme … , 2025 2025
Enhance YOLOV5 Model to Detect the Ocean Ships Using Real-Time Hyperspectral Satellite Image PP Dhivya.K, Dr. Venkatesan.M Advances in VLSI, Signal Processing and Wireless Communication (IEdTC 2023) 1323 , 2025 2025
Enhance YOLOV5 Model to Detect the Ocean Ships Using Real-Time Hyperspectral Satellite Image PP Dhivya.K, Dr. Venkatesan.M Advances in VLSI, Signal Processing and Wireless Communication (IEdTC 2023) 1323 , 2025 2025
R-VCNN: A Hybrid Ocean Color Chlorophyll-a Retrieval Algorithm for Indian Ocean ABDSB Dhivya.K, Dr. Venkatesan.M 9th National Conference of Ocean Society of India, 368 , 2025 2025
Nature‐Inspired Algorithms for Computational Intelligence Theory—A State‐of‐the‐Art Review B Akoramurthy, K Dhivya, B Surendiran Computational Intelligence: Theory and Applications, 25-52 , 2024 2024 Citations: 3
Decision Support System for Digital Twin‐based Smart Manufacturing Systems and Design in Industry 5.0 B Akoramurthy, B Surendiran, K Dhivya, S Chowdhury, R Govindaraj, ... Digital Twins in Industrial Production and Smart Manufacturing: An … , 2024 2024 Citations: 1
Blockchain-based federated learning in internet of health things B Akoramurthy, B Surendiran, K Dhivya, S Chowdhury, R Govindaraj, ... Federated Learning for Digital Healthcare Systems, 175-201 , 2024 2024 Citations: 2
Industry Automation: The Contributions of Artificial Intelligence B Akoramurthy, K Dhivya, KTT Amesho Industry Automation: The Technologies, Platforms and Use Cases, 57 , 2024 2024 Citations: 4
Enhance YOLOV5 Model to Detect and Classify the Ocean Ships using Real Time Hyperspectral Satellite Image DVM Dhivya.K First International Conference on Communication Systems ICOCS-2023 , 2023 2023
Advances of Unmanned Autonomous Vehicle and Its Communication Systems DK Akoramurthy.B Routledge Taylor & Francis Group 1, 36 , 2023 2023
Evaluation of Blockchain Service Level Agreement (SLA) Using Hyperledger Fabric (HLF) DBS Dhivya.K, Akoramurthy.B,Dr.T.Sivakumar International Conference on intelligent COMPUting TEchnologies and Research 2023 , 2023 2023
Smart Contract Digital Cryptocurrency Analysis of Ethereum Blockchain Transactions for Similar-web DTS Dhivya.K International Conference On Research Techniques in Engineering and Business … , 2023 2023
A Blockchain approach to improving digital linked management information systems (MIS) B Akoramurthy, K Dhivya, GV Selvi, M Prasad The Data-Driven Blockchain Ecosystem, 61-82 , 2022 2022 Citations: 1
5 A Blockchain Approach B Akoramurthy, K Dhivya, GV Selvi, M Prasad The Data-Driven Blockchain Ecosystem: Fundamentals, Applications, and … , 2022 2022
Mimeme Attribute Classification using LDV Ensemble Multimodel Learning MMS Mrs. Dhivya. K, Mr. Akoramurthy. B, Dr. T. Sivakumar First International Conference on ComputationaL Intelligence Paradigms (CLIP … , 2022 2022
Mimeme Attribute Classification using LDV Ensemble Multimodel Learning DTS Mrs. M. Sathya Mrs. Dhivya. K, Mr. Akoramurthy. B COMPUTER SCIENCE & ENGINEERING: AN INTERNATIONAL JOURNAL (CSEIJ) 12 (Special … , 2022 2022
Sturdy Routing Protocol for VANET MKK Dhivya. K, Dr. Sivakumar. T International Conference on Multidisciplinary Research(ICMR)-2022 , 2022 2022
Air Canvas with Handwriting Recognition using Computer-Vision and Deep Learning DTS Mrs. Dhivya. K, Mr. Rituraj Saurabh International Conference on Multidisciplinary Research(ICMR)-2022 , 2022 2022
MOST CITED SCHOLAR PUBLICATIONS
Evaluation of web security mechanisms using vulnerability & Sql attack injection Dhivya. K, Murugaiyan Pajany International Journal of Pure and Applied Mathematics 119 (14), 989-996 , 2018 2018 Citations: 13
Industry Automation: The Contributions of Artificial Intelligence B Akoramurthy, K Dhivya, KTT Amesho Industry Automation: The Technologies, Platforms and Use Cases, 57 , 2024 2024 Citations: 4
Nature‐Inspired Algorithms for Computational Intelligence Theory—A State‐of‐the‐Art Review B Akoramurthy, K Dhivya, B Surendiran Computational Intelligence: Theory and Applications, 25-52 , 2024 2024 Citations: 3
Blockchain-based federated learning in internet of health things B Akoramurthy, B Surendiran, K Dhivya, S Chowdhury, R Govindaraj, ... Federated Learning for Digital Healthcare Systems, 175-201 , 2024 2024 Citations: 2
Decision Support System for Digital Twin‐based Smart Manufacturing Systems and Design in Industry 5.0 B Akoramurthy, B Surendiran, K Dhivya, S Chowdhury, R Govindaraj, ... Digital Twins in Industrial Production and Smart Manufacturing: An … , 2024 2024 Citations: 1
A Blockchain approach to improving digital linked management information systems (MIS) B Akoramurthy, K Dhivya, GV Selvi, M Prasad The Data-Driven Blockchain Ecosystem, 61-82 , 2022 2022 Citations: 1
Kolmogorov-Arnold Networks for Marine Aquaculture Site Suitability: A Case Study in the Southeastern Sea of Tamil Nadu Dhivya.K, Dr. Venkatesan.M, and Prabhavathy.P 2025 IEEE International Conference on Next-Gen Technologies of Artificial … , 2025 2025
Physics-Informed Conv-LSTM Model for Marine Ecosystems: Predicting Chlorophyll in Karaikal from 2026 to 2028 PP Dhivya K, Venkatesan M 7 th International Conference on Ocean Engineering (ICOE 2025) With a theme … , 2025 2025
PE-LiNN: A Hybrid Physics-AI Framework for Predicting Ocean Color Chlorophyll-a Concentration in the Karaikal Region Using Remote Sensing Data DSBDVM Akoramurthy.B, Dhivya.K 7 th International Conference on Ocean Engineering (ICOE 2025) With a theme … , 2025 2025
Enhance YOLOV5 Model to Detect the Ocean Ships Using Real-Time Hyperspectral Satellite Image PP Dhivya.K, Dr. Venkatesan.M Advances in VLSI, Signal Processing and Wireless Communication (IEdTC 2023) 1323 , 2025 2025
Enhance YOLOV5 Model to Detect the Ocean Ships Using Real-Time Hyperspectral Satellite Image PP Dhivya.K, Dr. Venkatesan.M Advances in VLSI, Signal Processing and Wireless Communication (IEdTC 2023) 1323 , 2025 2025
R-VCNN: A Hybrid Ocean Color Chlorophyll-a Retrieval Algorithm for Indian Ocean ABDSB Dhivya.K, Dr. Venkatesan.M 9th National Conference of Ocean Society of India, 368 , 2025 2025
Enhance YOLOV5 Model to Detect and Classify the Ocean Ships using Real Time Hyperspectral Satellite Image DVM Dhivya.K First International Conference on Communication Systems ICOCS-2023 , 2023 2023
Advances of Unmanned Autonomous Vehicle and Its Communication Systems DK Akoramurthy.B Routledge Taylor & Francis Group 1, 36 , 2023 2023
Evaluation of Blockchain Service Level Agreement (SLA) Using Hyperledger Fabric (HLF) DBS Dhivya.K, Akoramurthy.B,Dr.T.Sivakumar International Conference on intelligent COMPUting TEchnologies and Research 2023 , 2023 2023
Smart Contract Digital Cryptocurrency Analysis of Ethereum Blockchain Transactions for Similar-web DTS Dhivya.K International Conference On Research Techniques in Engineering and Business … , 2023 2023
5 A Blockchain Approach B Akoramurthy, K Dhivya, GV Selvi, M Prasad The Data-Driven Blockchain Ecosystem: Fundamentals, Applications, and … , 2022 2022
Mimeme Attribute Classification using LDV Ensemble Multimodel Learning MMS Mrs. Dhivya. K, Mr. Akoramurthy. B, Dr. T. Sivakumar First International Conference on ComputationaL Intelligence Paradigms (CLIP … , 2022 2022
Mimeme Attribute Classification using LDV Ensemble Multimodel Learning DTS Mrs. M. Sathya Mrs. Dhivya. K, Mr. Akoramurthy. B COMPUTER SCIENCE & ENGINEERING: AN INTERNATIONAL JOURNAL (CSEIJ) 12 (Special … , 2022 2022
Sturdy Routing Protocol for VANET MKK Dhivya. K, Dr. Sivakumar. T International Conference on Multidisciplinary Research(ICMR)-2022 , 2022 2022
