Anitha Velu

@adhiyamaan.ac.in

Assistant Professor/Electronics and Communication Engineering
Adhiyamaan College of Engineering

Anitha Velu


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https://researchid.co/aniveluece
Anitha Velu received her Bachelor degree in Electronics and Communication Engineering from Vivekanandha Educational Institutions, Tiruchengode, Tamil Nadu in 2014, Masters in VLSI Systems from Adhiyamaan College of Engineering, Hosur, Tamil Nadu in 2016 and Ph.D in Information and Communication Engineering from Anna University, Chennai in 2022. Currently she is an Assistant Professor in the Department of Electronics and Communication Engineering at Adhiyamaan College of Engineering, Hosur, India. Her research interests include Digital Image Processing, VLSI Design, Ontology and Semantic web technology.

EDUCATION

Bachelor of Engineering (Electronics and Communication Engineering)
Master of Engineering (VLSI Design)
Philosophy of Doctorate (Information and Communication Engineering)

RESEARCH INTERESTS

Digital Image Processing, VLSI Design, Ontology and Semantic Web technology
27

Scopus Publications

100

Scholar Citations

6

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • An Optimized Fitness-Based Enhanced ant Colony Optimization for Optimal Road Selection in Intelligent Heterogeneous Vehicular ad-hoc Networks
    Raghu Ramamoorthy, Reddi China Appala Naidu, Anitha Velu
    Journal of Intelligent and Fuzzy Systems, 2026
    In Intelligent Heterogeneous Vehicular Ad Hoc Networks (IH-VANETs), long urban roads with a high density of vehicles and a maximum number of road signals increase unpredictable delays in terms of long travel times and heavy traffic congestion. These unpredictable delays are exacerbated by the rapid increase in vehicle density and irregular traffic flow on roads with high traffic signals. To address this gap, an optimized fitness-based enhanced ant colony optimization (OF-EACO) for IH-VANETs is proposed. OF-EACO aims to find optimal, uncongested short roads with low vehicle density and fewer traffic signals, thereby providing shorter travel times for vehicles without traffic congestion and unpredictable delays. To achieve this goal, the novel road fitness function of the proposed OF-EACO assigns a high road fitness score to roads according to short length, low vehicle density, and low signal count to support quick travel of vehicles between two ends without delay and traffic congestion. OF-EACO's roulette wheel takes the road fitness scores of available roads as input and outputs the optimal road. The optimal road is rich in all aspects and is intended to reduce travel time through short and un crowded roads. A network simulator is used to simulate the proposed OF-EACO, existing vehicular multi-hop routing algorithm with intelligent transportation system (VMR-ITS), and improved distance-based ant colony optimization routing (IDBACOR).Simulation results of the proposed OF-EACO indicated that, due to the use of optimal roads, it was able to achieve significant improvements in terms of vehicle travel cost, road establishment time, convergence speed, road traffic congestion overhead, routing overhead, Computational overhead, Computational Complexity, Actual Wall Time Analysis, and Energy Consumption compared to VMR-ITS and IDBACOR.
  • Deep Reinforcement Learning from the Perspectives of Artificial Intelligence and Optimal Control
    J. Jesy Janet Kumari, S. Thangam, Raghu Ramamoorthy, Anitha Velu
    Climate Smart Agriculture, 2026
    Deep reinforcement learning (DRL) has become a viable representation learning technique in a range of machine learning (ML) courses, particularly in a reinforcement learning (RL) space, because of continuous technological breakthroughs addressed through artificial intelligence (AI). The recent trajectory has enabled the emergence of a novel technological domain known as DRL. When DRL agents needed to communicate in more complex, data-rich environments, the approach proved to be highly data-inefficient. The fundamental reason is the limited applicability of DRL techniques to a wide range of scenarios that correspond to connected tasks from an identical distribution. The application of a multitask instructional strategy might mitigate this challenge. This chapter presents an innovative, multitask, learning-based approach to enhance DRL agents operating in various semantically similar environments with comparable tasks. This section utilizes a global network that will enhance knowledge transmission among individual actor-critic models functioning in separate environments. Various agricultural challenges have been mitigated by applying AI technology, including diagnosing plant diseases, predicting crop yields, and identifying weeds. In contrast, not all AI models, such as DL and ML, exhibit comparable efficacy across a diverse array of agricultural datasets.
  • An Adaptive Promiscuous Mode-Oriented Watchdog Mechanism with a Route Rater for Secure and Reliable Route Identification in VANETs
    Raghu Ramamoorthy, E. Saravana Kumar, Anitha Velu, J. A. Smitha
    Communications in Computer and Information Science, 2026
  • AI Tools Improve Data Collection, Analysis, and Verification Processes
    Raghu Ramamoorthy, Anitha Velu, H. P. Srinivasa, P. Bindhu Madhavi
    Studies in Computational Intelligence, 2026
  • Climate Smart Agriculture
    Climate Smart Agriculture, 2026
    Transform the future of sustainable farming with this guide to mastering deep reinforcement learning architectures and algorithms that turn complex environmental data into precise, high-yield decisions for climate-smart agriculture. It conveys the importance of deep reinforcement learning and its technological advancements across climate-smart agriculture applications, addresses challenges related to privacy, security, and scalability of climatic and agricultural data, and explains reinforcement learning from AI and optimal control perspectives. The book explores advanced solutions such as meta learning, hierarchical learning, multi-agent learning, and imitation learning, emphasizing modern frameworks, algorithms, tools, and decision-making systems that support farmers through intelligent, data-driven applications. A machine learning method called reinforcement learning trains computers to make decisions that produce optimal outcomes by learning through trial and error. Applicable across robotics, autonomous vehicles, healthcare, finance, and agriculture, reinforcement learning plays a critical role in modern intelligent systems. This book provides a detailed analysis of climate-smart agriculture, examining farmers’ challenges, current technology-enabled systems, and deep reinforcement learning frameworks, algorithms, and architectures. It also addresses data privacy, security, and scalability issues in applications such as yield prediction, crop management, disease prediction, soil health monitoring, precision agriculture, and environmental monitoring.
  • Use Cases and Scenarios for Federated Learning Adoption in IoT
    Anitha Velu, Raghu Ramamoorthy, A. Prasanth, Ahmed A. Elngar
    Applications of Federated Learning in Technological Advancements Use Cases and Applications, 2025
    Federated learning (FL) persists a machine learning (ML) system, which permits training the models deprived of any information swapping between decentralized appliances and servers. For training the model, data from several sources is gathered and combined onto a central server. FL adoption in Internet of Things (IoT) holds significant promise due to its ability to control decentralized sources by preserving privacy and security. This chapter deals about the key aspects of FL adoption and elaborates promising use cases and scenarios. Challenges like privacy, scalability, adaptability, robustness, bandwidth efficiency, edge computing integration, and data localization are elucidated in this chapter. Furthermore, the chapter interprets various use cases of adopting FL in IoT like healthcare monitoring, smart home systems, traffic management, Industrial IoT (IIoT), environmental monitoring, autonomous vehicles, retail analysis, and smart agriculture. These use cases demonstrate the versatility and potential impact of FL across diverse domains, offering opportunities for improved efficiency, enhanced decision-making, and greater privacy protection. Overall, the adoption of FL in IoT holds promises opening up fresh avenues for data-driven insights while resolving issues with scalability, privacy, and security that come with centralized methods.
  • Evaluating Mobility Models for IH-VANETs: A Simulation-Based Analysis
    Raghu Ramamoorthy, Anitha Velu, C Valarmathi, M. Ananthi
    2025 International Conference on Computing and Communication Technologies Iccct 2025, 2025
    Intelligent Heterogeneous Vehicular ad hoc networks (IH-VANETs) are more dynamic due to the mobility of vehicles. Routing packets along efficient paths improves the efficiency of the routing schemes. Relying on efficient mobility models for traffic generation for real-time road scenarios is conducive to efficient routing. This work presents and evaluates the performance of various mobility models including the Random Waypoint Mobility Model (RWP), Intelligent Driver Model (IDM), Intelligent Driver Model-Intersection Management (IDM-IM), and Manhattan Mobility Model (MMM). The reactive protocol such as Dynamic Source-Routing (DSR) is used with mobility models to evaluate the efficiency in the form of Packet Loss Ratio (PLR), End-to-End Delay (EED), Throughput (T), Packet Delivery Rate (PDR), and Overhead of routing (OR). DSR and mobility models are implemented in Network Simulator (NS 2.35). Simulations show that utilizing real-time traffic with mobility models affects DSR performance in all aspects.
  • Competent Way to Publish Heterogeneous Satellite Data on Web Deploying Semantic Technologies
    Anitha Velu, Raghu Ramamoorthy, Manasa S M, Smitha J A
    2025 International Conference on Computing and Communication Technologies Iccct 2025, 2025
    One of the main concerns of academics and publishers is the dynamic role that information technologies play in the dissemination and distribution of satellite data online. Interpretation, interoperability, and scalability of sensor-generated heterogeneous data are crucial tasks. This can be addressed with the help of Semantic Web (SW), which has a vast number of unstructured items represented by linked data. Compression techniques help to create a more compact representation of the data, which can reduce processing over large amounts of data. This work proposes an effective C3-GCD method for publishing copious Geospatial Climate Data (GCD), which consists of three stages: Collect, Convert, and Compress. Stage I: Involves with collection of real-time data from Indian Meteorological Satellite along the southeastern coastal areas of India consisting 170 files of 648 MB with 12,82,000 records, Stage II: A machine-readable format, most likely Resource Description Framework (RDF), is derived out of the acquired heterogeneous data. Large RD F volumes result in difficulty of processing, inadequate administration, and limited scalability hence, Stage 111: A unique HDT+ compression strategy is developed by revisiting the state-of-art binary encoding. The proposed approach conserves approximately 78.96% of storage space with compression ratio of 5.67: 1 on average, allowing for the publication of copious amounts of data. Due to the proposed method's reduction of syntactic verbosity and data redundancy, any user can exchange, publish and analyze the data from anywhere open on web.
  • NLP-Driven Detection of Cyber-Bullying Comments in Instagram Social Network
    C. Valarmathi, Anitha Velu, A. Prasanth, Rajesh Kumar Dhanaraj
    Proceedings of 2025 4th International Conference on Computing and Information Technology Iccit 2025, 2025
    People's attention towards usage of social media is growing continuously, particularly youngsters are paying special attention by means of advancing their professions and expanding network. Cyber-bullying, includes posting derogatory comments on other people's posts, fabricating an identity, and disseminating embarrassing photos or videos, is also on the rise on social media. Victims of cyber-bullying may result in low self-esteem, increased suicidal thoughts, and other negative emotions like anxiety, frustration, fury, or sadness of the person. Undoubtedly numerous calculations like Machine Learning (ML) methods have been utilized in recognizing cyber-bullying exercises which remain totally frozen. The primary focus of the proposed work is to integrate Term Frequency-Inverse Document Frequency (TF-IDF) information retrieval method with a Random Forest (RF) classifier. TF-IDF decreases the dimensionality of the dataset by turning textual data into numerical features and concentrating on informative words. RF classifier handles the words with high TF-IDF scores in a corpus and classifies the comments as “Low” and “High” depending on the severity flagged as potential indicators of bullying behavior. This framework develops software which automatically identifies and prevents hateful comments and hides them from the victim's page. Compared to other classifiers, RF adapts many linguistic patterns, manages copious data generated on social platform and handles imbalances in cyberbullying comments, particularly when paired with class weighting or sampling approaches. This work mainly focusses on Instagram social media page where it accomplishes 88% of accuracy, 0.89 of precision, 0.94 of recall and 0.91 of F-measure in detection of harmful words.
  • Bioinspired cyber challenges: coexistence and biocompatibility
    P. Narmatha, Arivarasi Asokan, Anitha Velu, Rashad Gabil oglu Abaszade
    Future of Internet of Bio Nano Things in Personalized Healthcare Applications and Challenges, 2025
  • A run-through of flexible electronics: challenges and opportunities
    Anitha Velu, Prasanth Aruchamy, Raghu Ramamoorthy, Rajesh Kumar Dhanaraj
    Green Flexible Electronics for Sustainable Healthcare, 2025
  • IoT based Real-Time Smart Kitchen Automation and Monitoring System Prototyping with Arduino
    Anitha Velu, Raghu Ramamoorthy, Manasa S M, C Valarmathi
    Proceedings of International Conference on Sustainable Communication Networks and Application Icscn 2025, 2025
  • Arduino Based Smart Solar Umbrella for Agricultural Applications
    J. Hema Shubraja, J. Jasmine Anisha, Anitha Velu, P Narmatha, A Arivarasi
    Proceedings 2025 IEEE International Conference on Compute Control Network and Photonics Icccnp 2025, 2025
  • Green Flexible Electronics for Sustainable Healthcare
    Green Flexible Electronics for Sustainable Healthcare, 2025
  • IoT-Driven Early Warning System for Diabetic Foot Ulcer Deploying ML Algorithm
    C Valarmathi, Anitha Velu, Raghu Ramamoorthy, Smitha J A, Manasa S M, Suguna A
    Proceedings of 5th International Conference on Pervasive Computing and Social Networking Icpcsn 2025, 2025
  • An advanced IoT-based Automated Waste Segregation System for Smart Cities
    Raghu Ramamoorthy, R China Appala Naidu, Anitha Velu, Manasa S M, Dharamvir, B. Devi Vighneshwari
    Proceedings of International Conference on Sustainable Communication Networks and Application Icscn 2025, 2025
  • LLM pretraining methods
    Anitha Velu, Raghu Ramamoorthy, S. M. Manasa, A. Prasanth
    Generative AI and Llms Natural Language Processing and Generative Adversarial Networks, 2024
  • Reliable Smart Wrist Pulse Oximeter for Hypoxemia and COVID-19 Patients
    Raghu Ramamoorthy, J. A. Smitha, Anitha Velu
    Lecture Notes in Networks and Systems, 2024
  • Optimizing Vehicle-to-Vehicle (V2V) Communication Efficiency with KNN-based Dynamic Time slot Allocation
    N Devakirubai, Anitha Velu, D Sumathi, A Prasanth
    Proceedings 2024 International Conference on Social and Sustainable Innovations in Technology and Engineering Sasi ITE 2024, 2024
  • An Energy Efficient IoT Based Smart Street Lighting Using Low Cost SOC
    Anitha Velu, Raghu Ramamoorthy, Manasa S M, Devakirubai Navulkumar
    1st International Conference on Electronics Computing Communication and Control Technology Iceccc 2024, 2024
  • Deep Learning-Based Age and Gender Prediction through Feature Extraction from Facial Images using Convolutional Neural Networks
    Manasa S M, Raghu Ramamoorthy, Anitha Velu, Angel Donny F, Chaitrashree S
    Proceedings IEEE 5th International Conference on Communication Computing and Industry 6 0 2024 C2i6 2024, 2024
  • Impact of Ant Colony Optimization on Optimal Routing for Vehicular Ad Hoc Networks
    Raghu Ramamoorthy, Anitha Velu, R China Appala Naidu, Asha Kumari A, Angel Donny F, Harish Kumar M
    Proceedings IEEE 5th International Conference on Communication Computing and Industry 6 0 2024 C2i6 2024, 2024
  • IoT Enabled Smart Farming: A Controlled Environment Agriculture Application
    Anitha Velu, Raghu Ramamoorthy, Saravana Kumar E, K Shruthi
    International Conference on Sustainable Communication Networks and Application Icscna 2023 Proceedings, 2023
  • Ocean knowledge representation through integration of big data employing semantic web technologies
    Anitha Velu, Menakadevi Thangavelu
    Earth Science Informatics, 2022
  • Ontology based ocean knowledge representation for semantic information retrieval
    Anitha Velu, Menakadevi Thangavelu
    Computers Materials and Continua, 2022
  • Information retrieval through a knowledge base system: Semantic web based approach in South-Eastern Coastal areas of India
    Songklanakarin Journal of Science and Technology, 2022
  • Hetero-GCD2RDF: An Interoperable Solution for Geospatial Climatic Data by Deploying Semantic Web Technologies
    Anitha Velu, Menakadevi Thangavelu
    Wireless Personal Communications, 2021

RECENT SCHOLAR PUBLICATIONS

  • Climate Smart Agriculture
    A Velu, A Prasanth, R Ramamoorthy, RK Dhanaraj, S Kadry
    John Wiley & Sons , 2026
    2026
  • Deep Reinforcement Learning from the Perspectives of Artificial Intelligence and Optimal Control
    JJJ Kumari, S Thangam, R Ramamoorthy, A Velu
    Climate Smart Agriculture, 1-16 , 2026
    2026
  • AI Tools Improve Data Collection, Analysis, and Verification Processes
    R Ramamoorthy, A Velu, HP Srinivasa, P Bindhu Madhavi
    AI-Assisted Journalism and Media: Opportunities and Challenges, 27-40 , 2026
    2026
  • A run-through of flexible electronics: challenges and opportunities
    A Velu, P Aruchamy, R Ramamoorthy, RK Dhanaraj
    Green Flexible Electronics for Sustainable Healthcare, 1-15 , 2026
    2026
  • Bioinspired cyber challenges: coexistence and biocompatibility
    P Narmatha, A Asokan, A Velu, RG oglu Abaszade
    Future of Internet of Bio-Nano Things in Personalized Healthcare, 155-172 , 2026
    2026
  • An advanced IoT-based Automated Waste Segregation System for Smart Cities
    R Ramamoorthy, RCA Naidu, A Velu, M SM, BD Vighneshwari
    2025 International Conference on Sustainable Communication Networks and … , 2025
    2025
  • IoT based Real-Time Smart Kitchen Automation and Monitoring System Prototyping with Arduino
    A Velu, R Ramamoorthy, C Valarmathi
    2025 International Conference on Sustainable Communication Networks and … , 2025
    2025
  • Arduino Based Smart Solar Umbrella for Agricultural Applications
    JH Shubraja, JJ Anisha, A Velu, P Narmatha, A Arivarasi
    2025 IEEE International Conference on Compute, Control, Network & Photonics … , 2025
    2025
  • An Adaptive Promiscuous Mode-Oriented Watchdog Mechanism with a Route Rater for Secure and Reliable Route Identification in VANETs
    R Ramamoorthy, ES Kumar, A Velu, JA Smitha
    International Conference on Computing Science, Communication and Security … , 2025
    2025
  • 10 Usefor Federated Cases and Learning Scenarios
    A Velu, R Ramamoorthy, A Prasanth, AA Elngar
    Applications of Federated Learning in Technological Advancements: Use Cases … , 2025
    2025
    Citations: 1
  • An Optimized Fitness-Based Enhanced ant Colony Optimization for Optimal Road Selection in Intelligent Heterogeneous Vehicular ad-hocNetworks
    R Ramamoorthy, RCA Naidu, A Velu
    Journal of Intelligent & Fuzzy Systems, 18758967251409370 , 2025
    2025
  • Applicability and Assessment of Diverse FPGA Architectures and Algorithms for the Internet of Things Applications
    A Velu, R Ramamoorth
    Central Asian Journal of Mathematical Theory and Computer Sciences 6 (3 … , 2025
    2025
  • ClarifiIt-Web Based Messaging Application for Enhanced Communication With Clarity
    R Ramamoorthy, RCA Naidu, A Velu
    International Conference on Recent Advancements and Modernisations in … , 2025
    2025
  • IoT-Driven Early Warning System for Diabetic Foot Ulcer Deploying ML Algorithm
    C Valarmathi, A Velu, R Ramamoorthy, S JA, M SM
    2025 5th International Conference on Pervasive Computing and Social … , 2025
    2025
  • Competent Way to Publish Heterogeneous Satellite Data on Web Deploying Semantic Technologies
    A Velu, R Ramamoorthy
    2025 International Conference on Computing and Communication Technologies … , 2025
    2025
  • Evaluating Mobility Models for IH-VANETs: A Simulation-Based Analysis
    R Ramamoorthy, A Velu, C Valarmathi, M Ananthi
    2025 International Conference on Computing and Communication Technologies … , 2025
    2025
    Citations: 2
  • NLP-Driven Detection of Cyber-Bullying Comments in Instagram Social Network
    C Valarmathi, A Velu, A Prasanth, RK Dhanaraj
    2025 4th International Conference on Computing and Information Technology … , 2025
    2025
    Citations: 4
  • Impact of ant colony optimization on optimal routing for vehicular ad hoc networks
    R Ramamoorthy, A Velu, RCA Naidu, A Kumari, H Kumar
    2024 5th International Conference on Communication, Computing & Industry 6.0 … , 2024
    2024
    Citations: 6
  • Deep learning-based age and gender prediction through feature extraction from facial images using convolutional neural networks
    SM Manasa, R Ramamoorthy, A Velu, S Chaitrashree
    2024 5th International Conference on Communication, Computing & Industry 6.0 … , 2024
    2024
    Citations: 4
  • IoT-based Thermal Management System by Embedding Physical Sensors in Hybrid Vehicles
    A Velu, R Ramamoorthy, A Prasanth, RK Dhanaraj
    MDPI , 2024
    2024
    Citations: 3

MOST CITED SCHOLAR PUBLICATIONS

  • IoT enabled smart farming: a controlled environment agriculture application
    A Velu, R Ramamoorthy, S Kumar, K Shruthi
    2023 international conference on sustainable communication networks and … , 2023
    2023
    Citations: 17
  • Ontology Based Ocean Knowledge Representation for Semantic Information Retrieval.
    A Velu, M Thangavelu
    Computers, Materials & Continua 70 (3) , 2022
    2022
    Citations: 13
  • An energy efficient IoT based smart street lighting using low cost SoC
    A Velu, R Ramamoorthy, D Navulkumar
    2024 International Conference on Electronics, Computing, Communication and … , 2024
    2024
    Citations: 12
  • Hetero-GCD2RDF: An interoperable solution for geospatial climatic data by deploying semantic web technologies
    A Velu, M Thangavelu
    Wireless Personal Communications 117 (4), 3527-3551 , 2021
    2021
    Citations: 9
  • Impact of ant colony optimization on optimal routing for vehicular ad hoc networks
    R Ramamoorthy, A Velu, RCA Naidu, A Kumari, H Kumar
    2024 5th International Conference on Communication, Computing & Industry 6.0 … , 2024
    2024
    Citations: 6
  • Ocean knowledge representation through integration of big data employing semantic web technologies
    A Velu, M Thangavelu
    Earth Science Informatics 15 (3), 1563-1585 , 2022
    2022
    Citations: 6
  • NLP-Driven Detection of Cyber-Bullying Comments in Instagram Social Network
    C Valarmathi, A Velu, A Prasanth, RK Dhanaraj
    2025 4th International Conference on Computing and Information Technology … , 2025
    2025
    Citations: 4
  • Deep learning-based age and gender prediction through feature extraction from facial images using convolutional neural networks
    SM Manasa, R Ramamoorthy, A Velu, S Chaitrashree
    2024 5th International Conference on Communication, Computing & Industry 6.0 … , 2024
    2024
    Citations: 4
  • LLM pretraining methods
    A Velu, R Ramamoorthy, SM Manasa, A Prasanth
    Generative AI and LLMs: Natural Language Processing and Generative … , 2024
    2024
    Citations: 4
  • Information Retrieval through a Knowledge Base System: Semantic Web based Approach in South-Eastern Coastal Areas of India
    A Velu, M Thangavelu
    Songklanakarin Journal of Science and Technology 44 (1), 272-280 , 2022
    2022
    Citations: 4
  • IoT-based Thermal Management System by Embedding Physical Sensors in Hybrid Vehicles
    A Velu, R Ramamoorthy, A Prasanth, RK Dhanaraj
    MDPI , 2024
    2024
    Citations: 3
  • Reliable Smart Wrist Pulse Oximeter for Hypoxemia and COVID-19 Patients
    R Ramamoorthy, JA Smitha, A Velu
    International Conference on Inventive Communication and Computational … , 2024
    2024
    Citations: 3
  • Priority based lightweight cluster routing for efficient communication in vehicular ad hoc networks
    R Ramamoorthy, SM Manasa, A Velu
    Central Asian Journal of Mathematical Theory and Computer Sciences 5 (2), 52-63 , 2024
    2024
    Citations: 3
  • Optimizing vehicle-to-vehicle (V2V) communication efficiency with KNN-based dynamic time slot allocation
    N Devakirubai, A Velu, D Sumathi, A Prasanth
    2024 International Conference on Social and Sustainable Innovations in … , 2024
    2024
    Citations: 3
  • A Survey Paper on Ontology Concepts in Semantic Web Technology and it’s Applications
    DTM Anitha Velu
    International Journal of Innovative Science and Research Technology 3 (6 … , 2018
    2018
    Citations: 3
  • Evaluating Mobility Models for IH-VANETs: A Simulation-Based Analysis
    R Ramamoorthy, A Velu, C Valarmathi, M Ananthi
    2025 International Conference on Computing and Communication Technologies … , 2025
    2025
    Citations: 2
  • A Knowledge Based Approach to Personify Ocean Data in RDF Format by the Exploitation of Semantic Technology
    DTM Anitha Velu
    33rd Indian Engineering Congress, 80-84 , 2018
    2018
    Citations: 2
  • 10 Usefor Federated Cases and Learning Scenarios
    A Velu, R Ramamoorthy, A Prasanth, AA Elngar
    Applications of Federated Learning in Technological Advancements: Use Cases … , 2025
    2025
    Citations: 1
  • An Efficient Method for Segmentation of Cerebrospinal Fluid in Hydrocephalus affected T2 weighted MRI images
    A Velu
    Central Asian Journal of Theoretical and Applied Sciences 3 (5), 493-511 , 2022
    2022
    Citations: 1
  • Climate Smart Agriculture
    A Velu, A Prasanth, R Ramamoorthy, RK Dhanaraj, S Kadry
    John Wiley & Sons , 2026
    2026

GRANT DETAILS

1. “An Efficient Parallel Turbo Decoder Architecture for Wireless Network Applications,” funded by Institution of Engineers, India under Grant-in-aid scheme with ID: RDPG2016017.
2. “A Novel Approach Of Designing Ontology Based Semantic Web Architecture Addressing Satellite Data Interoperability For Ocean Applications,” funded by Institution of Engineers, India under Grant-in-aid scheme with ID: DR2019006.

INDUSTRY EXPERIENCE

Over 1 year of experience as R&D Trainee in Trilok Laboratories Pvt Ltd, Bangalore