Avinash N J

@department-of-electronics-and-communication-engineering.newhorizoncollegeofengineering.in

Assistant Professor
new horizon college of engineering

Avinash N J


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https://researchid.co/avisuperstar

EDUCATION

M.Tech

RESEARCH, TEACHING, or OTHER INTERESTS

Electrical and Electronic Engineering, Engineering, Multidisciplinary, General Mathematics
21

Scopus Publications

88

Scholar Citations

6

Scholar h-index

3

Scholar i10-index

Scopus Publications

  • Exploring New Frontiers in Digital Watermarking and Fingerprinting: A Review of Emerging Security Solutions
    H. Rama Moorthy, N. S. Krishnaraj Rao, N. J. Avinash, B. Ravi Prakash, S. Kishore, K. R. Raghunandan, K. Karthik
    SN Computer Science, 2026
  • Dual stream graph augmented transformer model integrating BERT and GNNs for context aware fake news detection
    Hejamadi Rama Moorthy, N. J. Avinash, N. S. Krishnaraj Rao, K. R. Raghunandan, Radhakrishna Dodmane, Jeremy Joseph Blum, Lubna A Gabralla
    Scientific Reports, 2025
    The rapid proliferation of misinformation across digital platforms has highlighted the critical need for advanced fake news detection mechanisms. Traditional methods primarily rely on textual analysis, often neglecting the structural patterns of news dissemination, which play a crucial role in determining credibility. To address this limitation, this study proposes a Dual-Stream Graph-Augmented Transformer Model, integrating BERT for deep textual representation and Graph Neural Networks (GNNs) to model the propagation structure of misinformation. The objective is to enhance fake news detection by leveraging both linguistic and network-based features. The proposed method employs Graph Attention Networks (GAT) and Graph Transformers to extract contextual relationships, while an attention-based fusion mechanism effectively integrates textual and graph embeddings for classification. The model is implemented using PyTorch and Hugging Face Transformers, with experiments conducted on the FakeNewsNet dataset, which includes news articles, user interactions, and source metadata. Evaluation metrics such as accuracy, precision, recall, F1-score, and AUC-ROC indicate superior performance, with an accuracy of 99%, outperforming baseline models such as Bi-LSTM and RoBERTa-GCN. The study concludes that incorporating graph-based propagation features significantly improves fake news detection, providing a robust, scalable, and context-aware solution. Future enhancements will focus on refining credibility assessment mechanisms and extending the model to support multilingual and multimodal misinformation detection across diverse digital platforms.
  • VisioLingua: IVIS (Intelligent Vision Interpretation System)
    Avinash N J, Anushree, Gaurav K, Gaurav K, Jagathraj A B
    2nd International Conference on Machine Learning and Autonomous Systems Icmlas 2025 Proceedings, 2025
    Visually impaired individuals face significant challenges in accessing textual and Braille-based information, limiting their independence and engagement with the world. To address these issues, this work introduces an innovative assistive system that combines machine learning, computer vision, and text-to-speech technologies. This paper discusses the design and implementation of a system that enables real-time recognition and processing of printed text and Braille characters, converting them into audible speech for immediate use. Convolutional neural networks (CNNs) powered by TensorFlow and Keras ensure high accuracy in Braille character recognition. At the same time, OpenCV handles crucial image preprocessing steps such as grayscale conversion, thresholding, and contour detection. Text recognition is facilitated through Tesseract OCR, and the pyttsx3 library provides efficient multilingual text-to-speech conversion. Compact and user-friendly, the system has the potential to significantly improve the quality of life for visually impaired individuals by fostering independence and inclusivity.
  • Optimizing Arbitrage Opportunities in Automated Market Makers Using Scalable Blockchain Flash Loans
    Raviprakash B, Rama Moorthy H, Daksha Malagatti, Arwin Sandesh Dsouza, Avinash N J, Praveen N
    2025 International Conference on Artificial Intelligence and Data Engineering Aide 2025 Proceedings, 2025
    This paper delves into the innovative application of flash loans within decentralized finance (DeFi), specifically in automated market maker (AMM) models. These systems streamline trading and improve liquidity through algorithmic asset pricing. However, high transaction fees and network congestion hinder their scalability. This research proposes strategies to optimize gas fees and enhance scalability by incorporating dynamic gas pricing and efficient fee management. By leveraging both Ethereum and Polygon networks, the system adapts to network conditions and addresses throughput limitations. The paper underscores the benefits of flash loans, including increased liquidity, cost efficiency, and risk mitigation, which are essential for arbitrage opportunities. Ultimately, this work aims to strengthen the DeFi ecosystem by promoting more robust and efficient trading strategies, paving the way for future innovations and greater financial inclusivity. Furthermore, a mathematical analysis of transactions, including profit and loss differences, is conducted to compare traditional arbitrage methods with the proposed scalable and efficient AMM-based approach.
  • A Novel Automatic Text Document Classification Using Learning based Text Classification(LbTC) Approach
    Avinash N J, Krishnaraj Rao, Rama Moorthy H, Raviprakash B, Raghunadan K R, Vasudeva, Venkatadri M
    Procedia Computer Science, 2025
    There are practical uses for text document classification. In actuality, it is crucial to categorize and parse documents with natural language. Utilizing applications like bogus news identification, query tagging, sentiment classification, and spam filtering needs this sort of study. However, because of their ambiguity, open-ended nature, and vastness, text documents provide a difficult Classification challenge. Machine learning (ML) methods became valuable alongside the growth of artificial intelligence (AI) due to their data-driven learning techniques. These methods are seen as highly effective at handling and analyzing vast data sets in depth. Topic segmentation, text categorization, entity identification, machine translation, and text summarization, to name a few, are just a few of the issues that may be resolved with ML approaches. In this study, we introduced an automatic Text Classification system (ATCF), a system that uses shallow and deep neural networks to classify text documents. To implement our system, we proposed an approach called Learning based Text Classification (LbTC). We investigated the performance of several models in comparison. Based on the training provided to ML models, the suggested framework assists in categorizing any type of document. It is compatible with practical applications where the categorization of documents is essential.
  • Face Recognition using Adaboost Classifier For The Visually Impaired
    Avinash N J, Krishnaraj Rao N S, Rama Moorthy H
    8th International Conference on I Smac Iot in Social Mobile Analytics and Cloud I Smac 2024 Proceedings, 2024
    The paper suggests an approach to facial recognition of physical challenges. The most difficult challenge for blind persons is identifying impediments outside and behind them. They mostly rely on other people to help them make up for their blindness. To overcome this, they need to be supported by someone else people. In their daily lives, they face many problems when it comes to moving from one place to another. There is no guidance to help them when they need it. This study suggests a facial recognition system for those with vision impairments utilizing the Raspberry Pi to help prevent these situations. There is a camera designed for face recognition and a microphone designed for voice recognition in this case, so these components can be combined and people with visual disabilities can use it easily and behaves reasonably. In this work, a method is presented for detecting, classifying, and locating objects within complex environments. The paper applies the techniques of image processing and Adaboot classifiers to achieve an accuracy of more than 90
  • Optimized Parallel and Serial Array Antenna Design for X-Band Aviation Radar Sensors
    Kavita Avinash Patil, A.B. Gurulakshmi, P S Neethu, Salna Joy, Nanditha Krishna, R Baby Chithra, N J Avinash
    IEEE International Conference on Recent Advances in Science and Engineering Technology Icraset 2024, 2024
    This paper aims to devise an antenna structure tailored for seamless integration into aviation radar sensors. The primary design objectives entail the creation of an antenna resonating within the X-band frequency range, spanning from 8 GHz to 12 GHz, with a central frequency of 9.79 GHz, while prioritizing portability. A meticulously dimensioned unit cell is engineered to achieve these specifications, resulting in an antenna design operating at 10.36 GHz. Key parameters including S11, Gain, Efficiency, and Radiation characteristics are meticulously assessed. Subsequently, these unit cells are arranged in serial and parallel configurations and analyzed across various metrics. Noteworthy findings reveal that the parallel array design exhibits superior radiation performance at 10.3 GHz. In contrast, the serial array configuration demonstrates enhanced attributes, including higher gain and improved S-parameter characteristics, particularly at 10.8 GHz. The input impedances were readily adjusted to match 50-ohm feedlines. The antenna design leverages dielectric materials such as Duriod for the substrate and copper for the patch and ground components. Specifically, the Duriod substrate boasts a dielectric coefficient of 2.2, with a substrate thickness of 1.57 and a copper thickness of ${0. 0 3 5}$. This investigation underscores the efficacy of the serial array antenna design, highlighting its potential for optimal performance in aviation radar sensor applications..
  • Design and Analysis of Efficient IoT-Based Pollution Monitoring System in Urban Area
    M. Dhivya, N. J. Avinash, P. Bhoomika, K. S. Shanika, Trisha Chatterjee, V. Preethisree
    Lecture Notes on Data Engineering and Communications Technologies, 2023
  • Design and Implementation of 32-Bit MIPS RISC Processor with Flexible 5-Stage Pipelining and Dynamic Thermal Control
    Avinash N J, Ishani Mishra, Tejas C Ghorpade, Lokesh M, Nishanth H, Manoj Kumar S
    Proceedings of the International Conference on Intelligent and Innovative Technologies in Computing Electrical and Electronics Iciitcee 2023, 2023
    The main aim of this design is design a 5-stage flexible pipelined 32-bit RISC-V processor using system Verilog including it Dynamic thermal management technique. This Design is be based on MIPS instruction set architecture(ISA) in which stages of pipeline include Instruction fetch, Instruction Decode, Execute, Memory access, Write back. The RISC[Reduced Instruction set Computed] compared to CISC[Complex instruction set computer] executes instruction in one clock and instructions are always uniformly lengthen and fixed instruction format based opcode. Hence RISC is preferable more used for less complex tasks and low power designs. Based on the literature the proposed design brings significant improvements in simulation speeds due to flexible pipeline technique and low power consumption is achieved. The Primary desire of this paper is to simulate and synthesize the design by perform basic ALU operations and provide desired outputs.
  • Toward Intelligent and Rush-Free Errands Using an Intelligent Chariot
    N. J. Avinash, Hrishikesh R. Patkar, P. Sreenidhi, Sowmya Bhat, Renita Pinto, H. Rama Moorthy
    Lecture Notes in Networks and Systems, 2022
  • An Automated Robotic Arm: A Machine Learning Approach
    N S Krishnaraj Rao, N J Avinash, H Rama Moorthy, K Karthik, Sudesh Rao, S Santosh
    2021 IEEE International Conference on Mobile Networks and Wireless Communications Icmnwc 2021, 2021
  • Providing Knee Movement Assistance using Android and IOT
    R Chetan, N J Avinash, K Aditya, M Gowri, K R Pranav, Namana
    Proceedings 2nd International Conference on Smart Electronics and Communication Icosec 2021, 2021
  • Android App and RFID Based Smart Ration Distribution System
    Avinash N J, Krishnaraj Rao N S, Rama Moorthy H, Ashwin Shenoy M, Chetan R, Sowmya Bhat
    2021 IEEE International Conference on Mobile Networks and Wireless Communications Icmnwc 2021, 2021
  • A Comprehensive Study of Neural Network Using R
    Avinash N J, Sowmya Bhat, Renita Pinto, Rama Moorthy H
    Icpects 2020 IEEE 2nd International Conference on Power Energy Control and Transmission Systems Proceedings, 2020
  • Smart Fridge for Global Users Based on IOT Using Deep Learning
    N J Avinash, Renita Pinto, Sowmya Bhat, R Chetan, H Rama Moorthy
    Icpects 2020 IEEE 2nd International Conference on Power Energy Control and Transmission Systems Proceedings, 2020
  • Biometric Authentication for Safety Lockers Using Cardiac Vectors
    Rama Moorthy H, Shrinivasa, Chetan R, Deepak Rao M, Avinash N J, Krishnaraj Rao N S
    Icpects 2020 IEEE 2nd International Conference on Power Energy Control and Transmission Systems Proceedings, 2020
  • A New Automated Electrical System using Smart Grid Technology
    H Rama Moorthy, Shrinivasa, R Chetan, M Deepak Rao, N J Avinash, N S Krishnaraj Rao
    Icpects 2020 IEEE 2nd International Conference on Power Energy Control and Transmission Systems Proceedings, 2020
  • Triggering and Auditing the Event during Intrusion Detections in WSN's Defence Application
    Rama Moorthy H, U Harshitha Shet, Rakshitha D Shetty, Shrinivasa, Avinash N J, Krishnaraj Rao N S
    Proceedings of the 3rd International Conference on Intelligent Sustainable Systems Iciss 2020, 2020
  • High Performance Electronic Voting Machine (EVM) Implementation Using ARM Cortex M3
    Avinash N J, Chethan R, Sowmya Bhat, Renita Pinto
    Proceedings of the 4th International Conference on Iot in Social Mobile Analytics and Cloud Ismac 2020, 2020
  • Retraction Notice: WSN in Defence Field: A Security Overview (2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC) DOI: 10.1109/I-SMAC49090.2020.9243406)
    Rama Moorthy H., Varsha Bangera, Zeba Amrin, N.J. Avinash, Krishnaraj Rao N.S.
    Proceedings of the 4th International Conference on Iot in Social Mobile Analytics and Cloud Ismac 2020, 2020
  • WSN in defence field: A security overview
    Rama Moorthy H, Varsha Bangera, Zeba Amrin, Avinash N J, Krishnaraj Rao N S
    Proceedings of the 4th International Conference on Iot in Social Mobile Analytics and Cloud Ismac 2020, 2020

RECENT SCHOLAR PUBLICATIONS

  • Exploring New Frontiers in Digital Watermarking and Fingerprinting: A Review of Emerging Security Solutions
    HR Moorthy, NSK Rao, NJ Avinash, BR Prakash, S Kishore, ...
    SN Computer Science 7 (2), 158 , 2026
    2026
  • Dual stream graph augmented transformer model integrating BERT and GNNs for context aware fake news detection
    H Rama Moorthy, NJ Avinash, NS Krishnaraj Rao, KR Raghunandan, ...
    Scientific reports 15 (1), 25436 , 2025
    2025
    Citations: 11
  • Optimizing Arbitrage Opportunities in Automated Market Makers Using Scalable Blockchain Flash Loans
    B Raviprakash, R Moorthy, D Malagatti, AS Dsouza, NJ Avinash, ...
    2025 International Conference on Artificial Intelligence and Data … , 2025
    2025
    Citations: 1
  • A Novel Automatic Text Document Classification Using Learning based Text Classification (LbTC) Approach
    NJ Avinash, K Rao, R Moorthy, B Raviprakash, KR Raghunadan, ...
    Procedia Computer Science 258, 4279-4290 , 2025
    2025
  • Face recognition using adaboost classifier for the visually impaired
    NJ Avinash, KR NS, R Moorthy
    2024 8th International Conference on I-SMAC (IoT in Social, Mobile … , 2024
    2024
    Citations: 1
  • Design and Analysis of Efficient IoT-Based Pollution Monitoring System in Urban Area
    M Dhivya, NJ Avinash, P Bhoomika, KS Shanika, T Chatterjee, ...
    Intelligent Communication Technologies and Virtual Mobile Networks, 233-246 , 2023
    2023
  • Technology for improving street dog welfare and capturing data in digital format during street dog sterilisation programmes
    A Chaudhari, G Brill, I Chakravarti, T Drees, S Verma, N Avinash, AK Jha, ...
    Animals 12 (15), 2000 , 2022
    2022
    Citations: 6
  • An automated robotic arm: a machine learning approach
    S Rao
    arXiv preprint arXiv:2201.07882 , 2022
    2022
    Citations: 8
  • Technology for Improving Street Dog Welfare and Capturing Data in Digital Format during Street Dog Sterilisation Programmes. Animals, 12 (15), 2000
    A Chaudhari, G Brill, I Chakravarti, T Drees, S Verma, N Avinash, AK Jha, ...
    2022
    Citations: 5
  • Android App and RFID Based Smart Ration Distribution System
    NJ Avinash, KR NS, R Moorthy, A Shenoy, R Chetan, S Bhat
    2021 IEEE International Conference on Mobile Networks and Wireless … , 2021
    2021
    Citations: 5
  • Technology for Improving Efficiency and Welfare during Street Dog Sterilization
    A Chaudhari, G Brill, N Avinash
    MDPI , 2021
    2021
  • Providing knee movement assistance using android and IOT
    R Chetan, NJ Avinash, K Aditya, M Gowri, KR Pranav
    2021 2nd International Conference on Smart Electronics and Communication … , 2021
    2021
    Citations: 3
  • Toward Intelligent and Rush-Free Errands Using an Intelligent Chariot
    NJ Avinash, HR Patkar, P Sreenidhi, S Bhat, R Pinto, HR Moorthy
    Expert Clouds and Applications: Proceedings of ICOECA 2021, 511-521 , 2021
    2021
  • A new automated electrical system using smart grid technology
    HR Moorthy, R Chetan, MD Rao, NJ Avinash, KR NS
    2020 International Conference on Power, Energy, Control and Transmission … , 2020
    2020
    Citations: 1
  • Smart fridge for global users based on IOT using deep learning
    NJ Avinash, R Pinto, S Bhat, R Chetan, HR Moorthy
    2020 International Conference on Power, Energy, Control and Transmission … , 2020
    2020
    Citations: 13
  • Biometric authentication for safety lockers using cardiac vectors
    R Moorthy, R Chetan, D Rao, NJ Avinash, KR NS
    2020 International Conference on Power, Energy, Control and Transmission … , 2020
    2020
    Citations: 7
  • A Comprehensive Study of Neural Network Using R
    NJ Avinash, S Bhat, R Pinto, R Moorthy
    2020 International Conference on Power, Energy, Control and Transmission … , 2020
    2020
  • Triggering and Auditing the Event During Intrusion Detections in WSN’s Defence Application
    R Moorthy, UH Shet, RD Shetty, A NJ, KR NS
    2020 3rd International Conference on Intelligent Sustainable Systems (ICISS … , 2020
    2020
  • Retraction Notice: WSN in Defence Field: A Security Overview
    R Moorthy, V Bangera, Z Amrin, NJ Avinash, KR NS
    2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile … , 2020
    2020
  • High performance electronic voting machine (EVM) implementation using ARM cortex M3
    NJ Avinash, R Chethan, S Bhat, R Pinto
    2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile … , 2020
    2020
    Citations: 8

MOST CITED SCHOLAR PUBLICATIONS

  • WSN in defence field: A security overview
    R Moorthy, V Bangera, Z Amrin, NJ Avinash, KR NS
    2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile … , 2020
    2020
    Citations: 19
  • Smart fridge for global users based on IOT using deep learning
    NJ Avinash, R Pinto, S Bhat, R Chetan, HR Moorthy
    2020 International Conference on Power, Energy, Control and Transmission … , 2020
    2020
    Citations: 13
  • Dual stream graph augmented transformer model integrating BERT and GNNs for context aware fake news detection
    H Rama Moorthy, NJ Avinash, NS Krishnaraj Rao, KR Raghunandan, ...
    Scientific reports 15 (1), 25436 , 2025
    2025
    Citations: 11
  • An automated robotic arm: a machine learning approach
    S Rao
    arXiv preprint arXiv:2201.07882 , 2022
    2022
    Citations: 8
  • High performance electronic voting machine (EVM) implementation using ARM cortex M3
    NJ Avinash, R Chethan, S Bhat, R Pinto
    2020 Fourth International Conference on I-SMAC (IoT in Social, Mobile … , 2020
    2020
    Citations: 8
  • Biometric authentication for safety lockers using cardiac vectors
    R Moorthy, R Chetan, D Rao, NJ Avinash, KR NS
    2020 International Conference on Power, Energy, Control and Transmission … , 2020
    2020
    Citations: 7
  • Technology for improving street dog welfare and capturing data in digital format during street dog sterilisation programmes
    A Chaudhari, G Brill, I Chakravarti, T Drees, S Verma, N Avinash, AK Jha, ...
    Animals 12 (15), 2000 , 2022
    2022
    Citations: 6
  • Technology for Improving Street Dog Welfare and Capturing Data in Digital Format during Street Dog Sterilisation Programmes. Animals, 12 (15), 2000
    A Chaudhari, G Brill, I Chakravarti, T Drees, S Verma, N Avinash, AK Jha, ...
    2022
    Citations: 5
  • Android App and RFID Based Smart Ration Distribution System
    NJ Avinash, KR NS, R Moorthy, A Shenoy, R Chetan, S Bhat
    2021 IEEE International Conference on Mobile Networks and Wireless … , 2021
    2021
    Citations: 5
  • Providing knee movement assistance using android and IOT
    R Chetan, NJ Avinash, K Aditya, M Gowri, KR Pranav
    2021 2nd International Conference on Smart Electronics and Communication … , 2021
    2021
    Citations: 3
  • Optimizing Arbitrage Opportunities in Automated Market Makers Using Scalable Blockchain Flash Loans
    B Raviprakash, R Moorthy, D Malagatti, AS Dsouza, NJ Avinash, ...
    2025 International Conference on Artificial Intelligence and Data … , 2025
    2025
    Citations: 1
  • Face recognition using adaboost classifier for the visually impaired
    NJ Avinash, KR NS, R Moorthy
    2024 8th International Conference on I-SMAC (IoT in Social, Mobile … , 2024
    2024
    Citations: 1
  • A new automated electrical system using smart grid technology
    HR Moorthy, R Chetan, MD Rao, NJ Avinash, KR NS
    2020 International Conference on Power, Energy, Control and Transmission … , 2020
    2020
    Citations: 1
  • Exploring New Frontiers in Digital Watermarking and Fingerprinting: A Review of Emerging Security Solutions
    HR Moorthy, NSK Rao, NJ Avinash, BR Prakash, S Kishore, ...
    SN Computer Science 7 (2), 158 , 2026
    2026
  • A Novel Automatic Text Document Classification Using Learning based Text Classification (LbTC) Approach
    NJ Avinash, K Rao, R Moorthy, B Raviprakash, KR Raghunadan, ...
    Procedia Computer Science 258, 4279-4290 , 2025
    2025
  • Design and Analysis of Efficient IoT-Based Pollution Monitoring System in Urban Area
    M Dhivya, NJ Avinash, P Bhoomika, KS Shanika, T Chatterjee, ...
    Intelligent Communication Technologies and Virtual Mobile Networks, 233-246 , 2023
    2023
  • Technology for Improving Efficiency and Welfare during Street Dog Sterilization
    A Chaudhari, G Brill, N Avinash
    MDPI , 2021
    2021
  • Toward Intelligent and Rush-Free Errands Using an Intelligent Chariot
    NJ Avinash, HR Patkar, P Sreenidhi, S Bhat, R Pinto, HR Moorthy
    Expert Clouds and Applications: Proceedings of ICOECA 2021, 511-521 , 2021
    2021
  • A Comprehensive Study of Neural Network Using R
    NJ Avinash, S Bhat, R Pinto, R Moorthy
    2020 International Conference on Power, Energy, Control and Transmission … , 2020
    2020
  • Triggering and Auditing the Event During Intrusion Detections in WSN’s Defence Application
    R Moorthy, UH Shet, RD Shetty, A NJ, KR NS
    2020 3rd International Conference on Intelligent Sustainable Systems (ICISS … , 2020
    2020