Scopus Publications
- Heart disease prediction using IoT-driven random forest classifier with SHAP-based interpretability: A cloud-integrated recall-optimized approach
Kandlagunta Subramanyam, V. Rajaram, B. Balakiruthiga, S. A. Angayarkanni
Aip Conference Proceedings, 2026 - Strategic Marketing and Branding Through Immersive Technologies
Shaping Tomorrow Unveiling the Potential of AR VR and MR in Every Realm, 2026 - Impact of wearable technology on medical education
Pandimurugan Vellaisamy, Sajeer Karattil, Mohammed Mubarak Mohammed Al Araimi, V. Rajaram, B. Balakiruthiga, Angayarkanni S. A., Baiju B. V.
Teaching in the Age of Medical Technology, 2025
Health Information Technology (HIT) along with the Internet of Medical Things (IoMT) employs wearable technology to monitor diseases through its capability to prevent medical mistakes from occurring. The devices track vital signs which medical professionals use for precise treatment decisions through real-time data transmission. IoT-driven medical devices improve telehealth service delivery as well as enhance patient monitoring functions. Virtual and augmented reality powers educational wearables to assist medical student surgical training as well as human anatomy education. Research professionals obtain immediate biological feedback through their diagnostic work and clinical preparation. Wearable technology enhances healthcare operations through its support of educational initiatives and research activities which lead to better medical discoveries today and in upcoming years. - Digital Immortality: Theoretical Frameworks and Practical Applications of AI-Driven Deceased Avatars
Sairaj Balaji, Rajaram V, Aditya Padmanabhan
Proceedings of International Conference on Sustainable Communication Networks and Application Icscn 2025, 2025
Advancements in digital technologies have introduced the concept of digital immortality, a transformative frontier in artificial intelligence. This paper explores the theoretical frameworks and practical implementations of AI-driven deceased avatars. By employing a single image and a few minutes of voice samples, Generative Adversarial Networks (GANs) and Large Language Models (LLMs) are utilized to synthesize lifelike avatars that replicate the appearance, voice, and personality of individuals. The study investigates the technical challenges involved, including 3D model generation from minimal data and voice cloning with limited samples, while addressing the ethical considerations of consent, privacy, and potential misuse. Applications of these avatars span personal legacy preservation, grief support, historical archiving, and interactive education. The research highlights how such technologies can reshape human interactions with digital personas, offering opportunities for innovation and connection. This paper emphasizes the importance of responsible development and ethical frameworks to balance the societal benefits with the preservation of dignity and memory. By integrating multidisciplinary perspectives, the study provides a comprehensive understanding of digital immortality, paving the way for further exploration in this evolving field. - Integrity Shield: Novel Approaches to Multi-Model Authentication and Granular Permission Systems for Sensitive Document Repositories
Koraboina Sumith Sai, Simran Pradhan, Dubba Manjunatha Reddy, S A Angayarkanni, V Rajaram
2025 Control Instrumentation System Conference Ciscon 2025, 2025 - Transformer-Based Framework for Phishing Detection and URL Analysis with VirusTotal
Raaghashree M, Arul Lincy A, Rajaram V, Balakiruthiga B, S. Jhansi Ida
2025 IEEE International Conference on Advances in Computing Research on Science Engineering and Technology Acroset 2025, 2025
Emails are one of the primary modes of communication for individuals and organizations in today's digital world. However, this has made email a target for cybercriminals. Phishing attacks are now a major security concern due to malicious emails and potentially harmful links that trick users into giving away their private information, like login credentials and financial details. These attacks take advantage of human weaknesses through social engineering tactics and fake messages. As phishing methods grow more advanced, there is an increase in the need for more advanced detection tools to protect users from these types of threats. The proposed work uses deep learning models and combines real-time risk assessment to analyze emails and embedded URLs. The framework evaluates phishing risks in real-time fetched emails and classifies them as either phishing or safe mail by a pre-trained transformers language model and VirusTotal Application Programming Interface (API). The emails are fetched in real-time either through Gmail API or manual upload and then evaluated. By studying the body of the email and the hyperlinks present in it, the framework improves the accuracy of phishing detection and greatly diminishes the chances of false positives, therefore enhancing digital security. - Wearable Medical Device Security and Network Protection for Reliable Healthcare
Wearable Medical Device Security and Network Protection for Reliable Healthcare, 2025 - Intelligent Transportation System for Healthcare Improvement
S.A. Angayarkanni, V Rajaram, V Pandimurugan, B Balakiruthiga, C. Umamageswaran, Rajesh Babu
Healthcare Informatics Innovation Post Covid 19 Pandemic, 2025
The rapid evolution of technology has brought the understanding that the health of humans is at the forefront. With more sophisticated and intelligent algorithms and substantial computational power, the transportation system is interconnected to form vehicular networks. These are called intelligent transportation systems (ITS), which enhance communication between the vehicles and the networked backbone infrastructure. This leads to improved coordination of vehicles and faster processing of vehicular data, which have excellent benefits. Vehicular ad hoc networks (VANETs) are one of the most critical components of the ITS. VANETs architect the coordination among vehicles to transfer the accident information and health information to be shared among the vehicular network of the road at that instance. This becomes a vital ecosystem in case of emergencies during accidents or health deterioration of the drivers and passengers to the emergency wards of hospitals. During such emergency, the emergency path has to be mandated on the road. Thus, by integrating the VANET and Smart City Infrastructure, we can dynamically manage the traffic, and the motion and path of emergency vehicles such as ambulances can be expedited. The smart cities are highly interconnected with a unified network of hospitals, blood banks, and roadside assistance portals. This interconnected system optimizes resource allocation and personnel coordination, enhancing emergency response efficiency and saving lives. - Eco-Connect: Examining Consumer Behavior and Sustainability in E-Commerce
Koraboina Sumith Sai, Dubba Manjunatha Reddy, Simran Pradhan, S A Angayarkanni, V Rajaram, B Balakiruthiga
2025 4th International Conference on Power Control and Computing Technologies Icpc2t 2025, 2025
This research explores the intersection of trust, perceived risk, and sustainability in shaping consumer behavior when purchasing health products online. The study examines how e-commerce platforms can better cater to the growing demand for eco-friendly health products while addressing consumer concerns related to trust and risk. The findings indicate that trust remains a major determinant in consumers’ decisions to purchase health products online, with perceived risk, particularly in terms of product authenticity and online payment security, also playing a significant role. Furthermore, consumers are increasingly concerned about the sustainability of the products they buy, with eco-labels and clear information about eco-friendly products influencing purchasing decisions. The study highlights the need for e-commerce platforms to prioritize security, transparency, and eco-friendliness to attract and retain consumers. - Enriched energy optimized LEACH protocol for efficient data transmission in wireless sensor network
V. Rajaram, V. Pandimurugan, S. Rajasoundaran, Paul Rodrigues, S. V. N. Santhosh Kumar, M. Selvi, V. Loganathan
Wireless Networks, 2025 - Node Localization Method in Wireless Sensor Networks Using Combined Crow Search and the Weighted Centroid Method
Suresh Sankaranarayanan, Rajaram Vijayakumar, Srividhya Swaminathan, Badar Almarri, Pascal Lorenz, Joel J. P. C. Rodrigues
Sensors, 2024 - Anonymous Crime Reporting using Blockchain and Smart Contract
Prince Kumar Chaurasia, Darshnilsinh Rana, Rajaram V, S. Srividhya
Proceedings 2024 4th International Conference on Pervasive Computing and Social Networking Icpcsn 2024, 2024 - Security Analysis on Full Disc Encryption
Angayarkanni S A, Rajaram V, Balakiruthiga B, Srivatsa K, Homasai Reddy K
2nd International Conference on Intelligent Cyber Physical Systems and Internet of Things Icoici 2024 Proceedings, 2024 - Deep Learning in Healthcare and Clinical Studies
V. Pandimurugan, S. Angayarkanni Annamalai, G. Saranya, V. Rajaram, A. Chinnasamy
Deep Learning for Smart Healthcare Trends Challenges and Applications, 2024 - Mitigating Credit Card Fraud: A Machine Learning Perspective
Shivam Bhushan, Indrajeet Gupta, Angayarkanni S A, Balakiruthiga B, Pandimurugan V, Rajaram V
Proceedings of 2024 2nd International Conference on Recent Trends in Microelectronics Automation Computing and Communications Systems Exploration and Blend of Emerging Technologies for Future Innovation Icmacc 2024, 2024 - Energy Efficiency in Heterogenous Cloud Data Centers by Inculcating a Combination of Q- Learning and Deep Q-Networks
Pandimurugan V, Balakiruthiga B, Rajaram V, Umamageswaran J, Angayarkanni S A, Rajasoundaran S
2024 IEEE International Conference on Intelligent Techniques in Control Optimization and Signal Processing Incos 2024 Proceedings, 2024 - Preventing Health Records Risk Analysis with Explainable AI
V Pandimurugan, B Balakiruthiga, J Umamageswaran, S A Angayarkanni, V Rajaram, A Chinnasamy
2nd International Conference on Self Sustainable Artificial Intelligence Systems Icssas 2024 Proceedings, 2024 - AI-Driven Safety: Automated Helmet Detection and License Plate Recognition
Angayarkanni. SA, Nikhil Bathija, Saketh Sourya J, Nikhil Singh Shekhawat, Rajaram V, Balakiruthiga B
Proceedings of the 9th International Conference on Communication and Electronics Systems Icces 2024, 2024 - Artificial intelligence-based data wrangling issues and data analytics process for various domains
Advancement of Data Processing Methods for Artificial and Computing Intelligence, 2023 - Cyber Threat Monitoring and Incident Response with IntelliWatch SIEM
Sam Fredrick, Priyanshu Singh, Rajaram V
International Conference on Sustainable Communication Networks and Application Icscna 2023 Proceedings, 2023 - Gamification of Learning using 3D Spaces in the Metaverse
Sairaj Balaji, V Rajaram, Swarna Sethu
Proceedings of the 1st IEEE International Conference on Networking and Communications 2023 Icnwc 2023, 2023 - Developing Advanced Software Keylogger using Python and Creating Awareness of their Functionalities
Jerin Joy, V Rajaram, A R Aditya, V. Pandimurugan
2nd International Conference on Automation Computing and Renewable Systems Icacrs 2023 Proceedings, 2023 - An Intelligent Tender Management System using Block Chain and IPFS
E Sai Tarun Kumar Reddy, Madarapu Sathvik, V. Rajaram, Chilka Prithvi Rao
International Conference on Sustainable Computing and Smart Systems Icscss 2023 Proceedings, 2023 - Three-level image demonstration with optimized multi-feature fuzzy clustering and EPAPCNN system
A. Suresh, V. Rajaram, V. Anbarasu, N. Deepa
Soft Computing, 2023 - Impact of Health Information Technology Tools on Patient Safety in the Indian Healthcare Industry
Angayarkanni S Annamalai, Rajaram Vijayakumar, Pandimurugan Vellaisamy, Meenakshi Nagarajan
Open Biomedical Engineering Journal, 2023 - Pothole Detection using CNN and YOLO v7 Algorithm
E Sai Tarun Kumar Reddy, Rajaram V
6th International Conference on Electronics Communication and Aerospace Technology Iceca 2022 Proceedings, 2022 - Email Spam Classification Using Supervised Learning in Different Languages
Aryan Rawat, Shiddhant Behera, V. Rajaram
2022 1st International Conference on Computer Power and Communications Iccpc 2022 Proceedings, 2022 - Fire Detection System using Deep Learning Techniques
S Srividhya, S Sindhu, K Sornalakshmi, D Hemavathi, V Rajaram
4th International Conference on Inventive Research in Computing Applications Icirca 2022 Proceedings, 2022 - Design of e-water application to maintain the flow of water from common faucets by enabling GSM
P. Baskaran, Kaaviya Baskaran, V. Rajaram
Lecture Notes in Networks and Systems, 2021 - An optimized clustering using hybrid meta-heuristic approach for wireless sensor networks
Rajaram V, K. N
International Journal of Communication Systems, 2020 - IoT based COVID preventive system for work environment
Kaaviya Baskaran, P. Baskaran, V. Rajaram, N. Kumaratharan
Proceedings of the 4th International Conference on Iot in Social Mobile Analytics and Cloud Ismac 2020, 2020 - Artificial neural network approach for air brake pushrod stroke prediction in heavy commercial road vehicles
Radhika Raveendran, Apoorva Suresh, Vignesh Rajaram, Shankar C Subramanian
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, 2019 - Impact of Fuzzy Inference System for Improving the Network Lifetime in Wireless Sensor Networks - A Survey
V. Rajaram, S. Srividhya, N. Kumaratharan
Proceedings of the 2018 IEEE International Conference on Communication and Signal Processing Iccsp 2018, 2018 - Fuzzy logic based unequal clustering in wireless sensor networks for effective energy utilization
V. Rajaram, S. Srividhya, N. Kumaratharan, V. Ganapathy
IEEE International Conference on Power Control Signals and Instrumentation Engineering Icpcsi 2017, 2018 - Heavy vehicle collision avoidance control in heterogeneous traffic using varying time headway
Vignesh Rajaram, Shankar C. Subramanian
Mechatronics, 2018 - Model-based braking control of a heavy commercial road vehicle equipped with an electropneumatic brake system
Vikas Gautam, Vignesh Rajaram, Shankar C Subramanian
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, 2017 - Fuzzy based hierachical unequal clustering in wireless sensor networks
S. Srividhya, V. Ganapathy, V. Rajaram
Indian Journal of Science and Technology, 2016 - Design and hardware-in-loop implementation of collision avoidance algorithms for heavy commercial road vehicles
Vignesh Rajaram, Shankar C. Subramanian
Vehicle System Dynamics, 2016 - Collision avoidance algorithm for a heavy commercial road vehicle under heterogeneous traffic
ASME International Mechanical Engineering Congress and Exposition Proceedings Imece, 2016 - A model-based rear-end collision avoidance algorithm for heavy commercial road vehicles
Vignesh Rajaram, Shankar C Subramanian
Proceedings of the Institution of Mechanical Engineers Part D Journal of Automobile Engineering, 2015 - A model based Collision Avoidance algorithm for heavy commercial vehicles
Vignesh Rajaram, Shankar C. Subramanian
Proceedings of the American Control Conference, 2014 - Comparison of linear and non-linear control schemes for collision avoidance in heavy road vehicles
Vignesh Rajaram, Shankar Subramanian
2014 IEEE International Conference on Vehicular Electronics and Safety Icves 2014, 2014
