Rahul Ramkishan Rathod

@mituniversity.ac.in

Assistant Professor, Information Technology
MIT Art Design & Technology University

Rahul Ramkishan Rathod


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

RESEARCH, TEACHING, or OTHER INTERESTS

Computer Engineering, Artificial Intelligence, Computer Science, Human-Computer Interaction
8

Scopus Publications

158

Scholar Citations

5

Scholar h-index

4

Scholar i10-index

Scopus Publications

  • Towards Privacy-Preserving Approach for Diabetes Analytics Using Federated Learning
    Prathamesh P. Keole, Rahul H. Bhole, Rahul R. Rathod, Prashant Dhotre
    2025 5th Asian Conference on Innovation in Technology Asiancon 2025, 2025
  • Efficient lightweight cryptography for resource-constrained WSN nodes
    Nilesh P. Sable, Vijay U. Rathod, Pallavi Parlewar, Smita B. Rathod, Santosh T. Waghmode, et al.
    Journal of Discrete Mathematical Sciences and Cryptography, 2024
    In Wireless Sensor Networks (WSN), where resources are scarce, lightweight cryptography is crucial and difficult. The Constrained Application Protocol (CoAP), Field-Programmable Gate Array (FPGA) technology, and a modified RC5 algorithm are used in this study to achieve efficient encryption for WSN nodes. WSN are essential for monitoring temperature, humidity, vibrations, and seismic activity. However, processing capacity, memory, and energy constraints make data security difficult in these networks. CoAP, FPGA, and a modified RC5 algorithm provide security, computational load reduction, and energy efficiency in resource-limited WSN. This research is crucial because it creates cryptographic mechanisms that accommodate WSN unique needs. By protecting data integrity and confidentiality, these mechanisms ensure data transmission security and privacy. Data security and efficiency in WSN require innovative cryptographic, FPGA-based hardware acceleration, and protocol optimization solutions. These methods could improve these vital sensing networks. This research lays the foundation for protecting the accuracy and security of WSN node data collected and transmitted with limited resources while optimizing resource allocation.
  • Advanced Camouflage Robot for Military Spying Applications using Sensor Fusion and Machine Learning
    Neeraj P Kulkarni, Subim N. Khan, Rahul Ramkishan Rathod, Ajay Raosaheb Choure, Mahesh Gokul Chinchole
    2024 IEEE International Conference on Blockchain and Distributed Systems Security Icbds 2024, 2024
    The current defense application scenario. the ability to blend into the environment is crucial for reducing detection and enhancing operational efficiency. This paper presents the development of an advanced camouflage robot to dynamically adapt its color to match its surroundings. The proposed system utilizes a combination of machine learning, computer vision, and sensor fusion to achieve camouflaging using the RGB LED panels mounted on the robot to adapt to the color of the surroundings. The robot is equipped with a video camera system that captures real-time video feed of the environment. The captured video is then processed by a trained machine learning model, which analyzes the color distribution in the surroundings. Simultaneously, the robot uses RGB color sensors to accurately detect the colors present in its immediate vicinity. The data from both the camera and the sensors are integrated to determine the predominant color around the robot. The hybrid camouflaging approach involves feeding the combined data into the machine learning model, which then calculates the color of maximum distribution. The robot then activates its RGB panels, adjusting their color to blend with the identified predominant color in the environment thereby making it difficult to locate. This process allows the robot to effectively camouflage itself, minimizing its visual footprint. KNN and sensor fusion techniques are used to achieve this task.
  • Exploring the Horizons of Speaker Recognition: Contemporary Advancements and Prospective Trajectories in the Age of Deep Learning
    Vijay U. Rathod, Nilesh P. Sable, Pramod Dhamdhere, Rahul Ramkishan Rathod, Sachin Y. Zurange, et al.
    2024 IEEE 9th International Conference for Convergence in Technology I2ct 2024, 2024
    One of the most popular areas of research in voice technology is speaker recognition. There has been a noticeable shift in recent years toward entrenching based end-to-end speaker recognition techniques. In real-world situations, these techniques allow speaker recognition without requiring retraining when faced with unfamiliar voices. Previous models trained on tiny, repetitive, hand-crafted datasets performed well in pattern corresponding but poorly in robustness due to architectural limitations and data scarcity. It has been demonstrated that training attention-based deep neural networks—which use large datasets with a variety of incorrectly classified examples—can greatly increase their robustness when used in a variety of classification tasks later on. Using insights from large-scale datasets such as VoxCeleb1 and VoxCeleb2, in addition to custom-crafted proprietary data designed to accommodate several modalities, we began exploring the potential of these flexible approaches to develop speaker identification models. More specifically, we looked at two well-known models to see how the architectural improvements might affect the model's capacity for effective generalization: Titanet [2] and ECAPA-TDNN [1] (highlighted Channels Pay attention, Transmission, and Aggregate). We also suggest utilizing Elastic search to create a scalable and quicker inference process.
  • The Use of Blockchain Technology to Verify KYC Documents
    Vijay U. Rathod, Yogesh Kisan Mali, Nilesh P. Sable, Rahul Ramkishan Rathod, Manoj N Rathod, et al.
    2023 IEEE International Conference on Blockchain and Distributed Systems Security Icbds 2023, 2023
    Sensitive personal data is frequently uploaded on internet, which is currently misused or disclosed leading to compromise of financial assets and thus endangering the entire ecosystem for online transactions. As a result, academic resources as well as internet firms are interested in learning how to manage an online identity. We propose a solution that provides user with authority over their own identities, using Blockchain Based (BCB) identity management system. Proposed system allows users to store data on a blockchain in place of vulnerable servers. The blockchain enables users to securely register their personal information and documents, guaranteeing the immutability and integrity of their identification of data. Organizations on the other hand, play crucial role in using proposed BCB system to verify identity of persons for their requirements like recruitments, loan sanctioning, asset management, admission to schools and colleges. The proposed solution provides a blockchain network for user to store the KYC details for identification purpose. It also provides platform for users and organizations to join blockchain network and retrieve the KYC documents of the required persons. The verifier in blockchain network verifies the identity of person. Block chain is made lightweight using blockchain server. Reward system is introduced to motivate users/organizations in blockchain network to participate in verification of KYC document of any user.
  • Role of IoT in Coal Miner Safety Helmets
    Yogesh Kisan Mali, Vijay U. Rathod, Mangesh Dilip Salunke, Sonnis Bharat Satish, Pramod Dhamdhere, et al.
    5th IEEE International Conference on Cybernetics Cognition and Machine Learning Applications Icccmla 2023, 2023
    The Coal Mining Head protector planned on this paper intends to offer protection to diggers through alerted them. All of the parts may be implied given that the individual is conveying the defensive cap. Every model's result from the cap module is refreshed ceaselessly, and that implies that continuous information is refreshed in the cloud. The Web of Things (IOT) permits these wearable contraptions to impart their information or recover it from different sources. The chief and the digger are given alerts, expecting there is a peril present. The advancement of wearable innovation has enormously profited from all inclusive enlistment and wearable PC systems. Thusly, this wearable gadget has various sensors that empower it to speak with different parts and work on the digger's protection. Information assortment, data the executives, and data correspondence portions are completely coordinated into the gear. A temperature and moistness sensor (DHT11) was utilized. How much intensity and dampness in mines will sporadically go excessively far and become lethal for the backhoe. The freedom of those gases ought to cause breathing troubles for anybody inside the mines and could bring about suffocation. In the impossible occasion that at least one of these pieces surpass the cutoff, an alert is shipped off both the base Authorizer and the digger.
  • A Technique for Maintaining Attribute-based Privacy Implementing Blockchain and Machine Learning
    Yogesh Kisan Mali, Vijay U. Rathod, Nilesh P. Sable, Rahul Ramkishan Rathod, Nachiket A Rathod, et al.
    2023 Global Conference on Information Technologies and Communications Gcitc 2023, 2023
    Any wireless network is built on the mutually reinforcing pillars of privacy and security. Security measures often cover data connections, physical security, outside threats, and internal node operations. Whereas privacy covers the selective exchange of data among a network’s various entities. To provide privacy to networks, a large number of algorithms have been proposed by researchers in the past. Most of these algorithms utilize Graph-based anonymization approaches like l-diversity, k-anonymity, etc. These models do not scale well. Thus, this text proposes a machine learning-based block chain-powered privacy preservation protocol. The proposed protocol will perform attribute-based privacy with high efficiency due to the use of block chain architecture and will improve the overall Quality of Service of the network due to the integration of machine learning in the system.
  • Application of deep convulational neural network in medical image classification
    Samir Yadav, Rahul Rathod, Sugat Ramrao Pawar, Vaishali Sugat Pawar, Sitaram More
    2021 International Conference on Emerging Smart Computing and Informatics Esci 2021, 2021
    The convolution networks make a great success in image classification since AlexNet proposed for classification in ImageNet challenge. This End-to-End training method makes the researcher focus more on how to build an efficient network. The user focuses more on how to use convolution networks in their application. After AlexNet, there are much ConvNet architecture proposed, such as VGGNet and ResNet. These ConvNet architectures are widely used in many actual real applications. Different types of techniques for image classification and many other medical applications focused on Convolutional Neural Networks(CNN) are addressed in this paper. So this paper will help us in selecting an appropriate classification technique among all the available methods.

RECENT SCHOLAR PUBLICATIONS

  • Leveraging Large Language Models for Enhanced URL Phishing Detection
    R Yadav, R Bhosale, R Rathod, P Dhotre, YS Patil
    World Conference on Information Systems for Business Management, 478-486 , 2025
    2025
  • Towards Privacy-Preserving Approach for Diabetes Analytics Using Federated Learning
    PP Keole, RH Bhole, RR Rathod, P Dhotre
    2025 5th Asian Conference on Innovation in Technology (ASIANCON), 1-5 , 2025
    2025
  • Beyond Passwords: Enhancing Security with Continuous Behavioral Biometrics and Passive Authentication
    P Chandre, S Joshi, R Rathod, J Nandimath, B Shendkar, Y Nikam
    Demystifying AI and ML for Cyber–Threat Intelligence, 161-173 , 2025
    2025
    Citations: 2
  • Adaptive Robotics For Military Defense: Material Optimization And Camouflage Intelligence
    APS Neeraj Prakash Kulkarni1, Dr. Subim Khan2, Rahul Ramkishan Rathod3 ...
    International Journal of Environmental Sciences 11 (20s), 7 , 2025
    2025
  • Phishing URL Detection with Contextual Embeddings and Explainable Machine Learning
    R Yadav, R Bhosale, P Dhotre, R Rathod, YS Patil
    2025 Second International Conference on Networks and Soft Computing (ICNSoC … , 2025
    2025
  • Advanced Camouflage Robot for Military Spying Applications using Sensor Fusion and Machine Learning
    NP Kulkarni, SN Khan, RR Rathod, AR Choure, MG Chinchole
    2024 IEEE International Conference on Blockchain and Distributed Systems … , 2024
    2024
    Citations: 3
  • Efficient lightweight cryptography for resource-constrained WSN nodes
    RRR Nilesh P. Sable, Vijay U. Rathod, Pallavi Parlewar, Smita B. Rathod ...
    Journal of Discrete Mathematical Sciences and Cryptography 27 (2-A), 11 , 2024
    2024
    Citations: 6
  • Exploring the Horizons of Speaker Recognition: Contemporary Advancements and Prospective Trajectories in the Age of Deep Learning
    VU Rathod, NP Sable, P Dhamdhere, RR Rathod, SY Zurange, DR Naik
    2024 IEEE 9th International Conference for Convergence in Technology (I2CT), 1-5 , 2024
    2024
  • IOT- Based Smart Plant Protection and Pest Control by Using Raspberry Pi
    PC Bhuvaneshwar D. Patil, Rahul Rathod, Kuldeep A. Mahajan, Amit Chaudhary ...
    Journal of Electrical Systems 20 (1044-1049), 6 , 2024
    2024
    Citations: 5
  • Tri Bird Technique for Effective Face Recognition Using Deep Convolutional Neural Network
    JC Musale, AK Singh, S Shirke, R Rathod
    Proceedings of the Fourth International Conference on Advances in Computer … , 2023
    2023
    Citations: 5
  • A technique for maintaining attribute-based privacy implementing blockchain and machine learning
    YK Mali, VU Rathod, NP Sable, RR Rathod, NA Rathod, MN Rathod
    2023 Global Conference on Information Technologies and Communications (GCITC … , 2023
    2023
    Citations: 73
  • Role of IoT in coal miner safety helmets
    YK Mali, VU Rathod, MD Salunke, SB Satish, P Dhamdhere, RR Rathod
    2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine … , 2023
    2023
    Citations: 21
  • The Use of Blockchain Technology to Verify KYC Documents
    VU Rathod, YK Mali, NP Sable, RR Rathod, MN Rathod, NA Rathod
    2023 IEEE International Conference on Blockchain and Distributed Systems … , 2023
    2023
    Citations: 25
  • Application of Deep Convulational Neural Network in Medical Image Classification
    S Yadav, R Rathod, SR Pawar, VS Pawar, S More
    2021 International Conference on Emerging Smart Computing and Informatics … , 2021
    2021
    Citations: 10
  • S K. Alkaline phosphatase production by Enterobacter hormaechei isolated from bird’s fecal waste and its optimization
    M Salunke, DB Sondge, S Yadav, R Warkhade, R Rathod, S Kate
    International Journal of Advanced Science and Technology 29 (8), 3606-3613 , 2020
    2020
    Citations: 4
  • DETECTING MENTAL DISORDER OF USERS VIA ONLINE SOCIAL MEDIA
    SNS Rahul R Rathod , Jadhav Jaydeep, Punde Reshma, Walse Kirti
    Journal of Emerging Technologies and Innovative Research 6 (5), 1 , 2019
    2019
  • Real-time Safety Helmet Wearing Detection Based Using Face Features
    PRRR Miss. Dhanashri M. Divase, Miss. Sonam K. Thorat, Miss. Reshma D.Unde
    Journal of Emerging Technologies and Innovative Research 6 (5), 4 , 2019
    2019
  • Review on Machine Learning Approach for Detecting Pneumonia from Chest X-Ray
    PAPRRR Sakshi S. Waman , Snehal S. Dhage
    International Journal of Trend in Research and Development 6 (1), 2 , 2019
    2019
  • Information Hiding In Video Utilizing Inverse Improved LSB And Secrete Key
    PRRR Bhand Jyoti B., Kshatriya Pranjal K., Kakade Sujata L.
    International Journal for Science and Advance Research In Technology 4 (5), 5 , 2018
    2018
  • K-NNE ALGORITHM FOR BEST KEYWORD COVER SEARCH
    PRRR Dhawale Reshma Ramdas , Thete Madhuri Dhondibhau, Badhekar Pratima Malhari
    International Journal Of Advance Research And Innovative Ideas In Education … , 2018
    2018

MOST CITED SCHOLAR PUBLICATIONS

  • A technique for maintaining attribute-based privacy implementing blockchain and machine learning
    YK Mali, VU Rathod, NP Sable, RR Rathod, NA Rathod, MN Rathod
    2023 Global Conference on Information Technologies and Communications (GCITC … , 2023
    2023
    Citations: 73
  • The Use of Blockchain Technology to Verify KYC Documents
    VU Rathod, YK Mali, NP Sable, RR Rathod, MN Rathod, NA Rathod
    2023 IEEE International Conference on Blockchain and Distributed Systems … , 2023
    2023
    Citations: 25
  • Role of IoT in coal miner safety helmets
    YK Mali, VU Rathod, MD Salunke, SB Satish, P Dhamdhere, RR Rathod
    2023 IEEE 5th International Conference on Cybernetics, Cognition and Machine … , 2023
    2023
    Citations: 21
  • Application of Deep Convulational Neural Network in Medical Image Classification
    S Yadav, R Rathod, SR Pawar, VS Pawar, S More
    2021 International Conference on Emerging Smart Computing and Informatics … , 2021
    2021
    Citations: 10
  • Efficient lightweight cryptography for resource-constrained WSN nodes
    RRR Nilesh P. Sable, Vijay U. Rathod, Pallavi Parlewar, Smita B. Rathod ...
    Journal of Discrete Mathematical Sciences and Cryptography 27 (2-A), 11 , 2024
    2024
    Citations: 6
  • IOT- Based Smart Plant Protection and Pest Control by Using Raspberry Pi
    PC Bhuvaneshwar D. Patil, Rahul Rathod, Kuldeep A. Mahajan, Amit Chaudhary ...
    Journal of Electrical Systems 20 (1044-1049), 6 , 2024
    2024
    Citations: 5
  • Tri Bird Technique for Effective Face Recognition Using Deep Convolutional Neural Network
    JC Musale, AK Singh, S Shirke, R Rathod
    Proceedings of the Fourth International Conference on Advances in Computer … , 2023
    2023
    Citations: 5
  • S K. Alkaline phosphatase production by Enterobacter hormaechei isolated from bird’s fecal waste and its optimization
    M Salunke, DB Sondge, S Yadav, R Warkhade, R Rathod, S Kate
    International Journal of Advanced Science and Technology 29 (8), 3606-3613 , 2020
    2020
    Citations: 4
  • A brief view of project scheduling techniques
    BH Rao, A Gandhy, RR Rathod
    International Journal of Engineering Research & Technology (Ahmedabad) 2 (12 … , 2013
    2013
    Citations: 4
  • Advanced Camouflage Robot for Military Spying Applications using Sensor Fusion and Machine Learning
    NP Kulkarni, SN Khan, RR Rathod, AR Choure, MG Chinchole
    2024 IEEE International Conference on Blockchain and Distributed Systems … , 2024
    2024
    Citations: 3
  • Beyond Passwords: Enhancing Security with Continuous Behavioral Biometrics and Passive Authentication
    P Chandre, S Joshi, R Rathod, J Nandimath, B Shendkar, Y Nikam
    Demystifying AI and ML for Cyber–Threat Intelligence, 161-173 , 2025
    2025
    Citations: 2
  • Leveraging Large Language Models for Enhanced URL Phishing Detection
    R Yadav, R Bhosale, R Rathod, P Dhotre, YS Patil
    World Conference on Information Systems for Business Management, 478-486 , 2025
    2025
  • Towards Privacy-Preserving Approach for Diabetes Analytics Using Federated Learning
    PP Keole, RH Bhole, RR Rathod, P Dhotre
    2025 5th Asian Conference on Innovation in Technology (ASIANCON), 1-5 , 2025
    2025
  • Adaptive Robotics For Military Defense: Material Optimization And Camouflage Intelligence
    APS Neeraj Prakash Kulkarni1, Dr. Subim Khan2, Rahul Ramkishan Rathod3 ...
    International Journal of Environmental Sciences 11 (20s), 7 , 2025
    2025
  • Phishing URL Detection with Contextual Embeddings and Explainable Machine Learning
    R Yadav, R Bhosale, P Dhotre, R Rathod, YS Patil
    2025 Second International Conference on Networks and Soft Computing (ICNSoC … , 2025
    2025
  • Exploring the Horizons of Speaker Recognition: Contemporary Advancements and Prospective Trajectories in the Age of Deep Learning
    VU Rathod, NP Sable, P Dhamdhere, RR Rathod, SY Zurange, DR Naik
    2024 IEEE 9th International Conference for Convergence in Technology (I2CT), 1-5 , 2024
    2024
  • DETECTING MENTAL DISORDER OF USERS VIA ONLINE SOCIAL MEDIA
    SNS Rahul R Rathod , Jadhav Jaydeep, Punde Reshma, Walse Kirti
    Journal of Emerging Technologies and Innovative Research 6 (5), 1 , 2019
    2019
  • Real-time Safety Helmet Wearing Detection Based Using Face Features
    PRRR Miss. Dhanashri M. Divase, Miss. Sonam K. Thorat, Miss. Reshma D.Unde
    Journal of Emerging Technologies and Innovative Research 6 (5), 4 , 2019
    2019
  • Review on Machine Learning Approach for Detecting Pneumonia from Chest X-Ray
    PAPRRR Sakshi S. Waman , Snehal S. Dhage
    International Journal of Trend in Research and Development 6 (1), 2 , 2019
    2019
  • Information Hiding In Video Utilizing Inverse Improved LSB And Secrete Key
    PRRR Bhand Jyoti B., Kshatriya Pranjal K., Kakade Sujata L.
    International Journal for Science and Advance Research In Technology 4 (5), 5 , 2018
    2018