Kumar, Venkataramani

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    PublicationOpen Access
    Edge-enabled intelligent framework for cyber threat classification and adaptive anomaly mitigation
    (2025-07-28) Kumar, Venkataramani; University of Puerto Rico at Mayagüez; College of Engineering; Department of Computer Science and Engineering
    With the evolution of advanced next-generation applications the need to meet the low-latency requirements is necessary. By processing the information at edge, it is feasible to expedite the response. However, the edge processing presents cybersecurity threats. Most of the existing works focus on resolving one aspect such as anomaly detection, or adaptive learning. However, through our work we propose an edge-enabled intelligent framework that offers three main functionalities namely threat level classification, response code prediction, and anomaly score prediction. The proposed monolithic framework is validated on open-source dataset with numerous features. Preliminary evaluation results highlight the significance of our framework.
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    PublicationOpen Access
    Use-cases and research opportunities of latest wireless technologies in bio-medical applications
    (2025) Kumar, Venkataramani; University of Puerto Rico at Mayagüez; College of Engineering; Department of Computer Science and Engineering
    I delivered a talk virtually on "Use-cases and research opportunities of latest wireless technologies in bio-medical applications" as a part of "Online six day hands-on training in Machine learning and artificial intelligence for Biomedical applications" hosted by SRM Institute of Science and Technology, Vadapalani Campus, Chennai, India. I'm uploading the slides I used in this work.
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    PublicationOpen Access
    A preliminary study on quantum digital twins for IoT-enabled disaster management
    (2025-03-18) Kumar, Venkataramani; University of Puerto Rico at Mayagüez; College of Engineering; Department of Computer Science and Engineering
    Natural disasters in large scale such as the wildfires in Los Angeles, and hurricanes results affects the global economy and livelihood greatly in addition to massive losses to human and cattle lives. Despite the presence of efficient disaster management systems such disasters are occurring frequently. With the advent of quantum computing numerous research works focus on the development of quantum digital twin (QDT) for improving the accuracy as well as the efficiency of the existing disaster management systems. However, most of the existing works on QDT suffer from limitations such as focus on particular disaster, and expensive. Therefore, through this work we intend to study the idea of developing a multi-hazard QDT that is cost-efficient, effective, and adaptable to meet the growing requirements. A four-layer based QDT system is proposed and studied in this paper. Preliminary evaluation results are included in this work to highlight the need of a multi-hazard QDT systems.