Dr. V. Padmavathi, Prof. & Head
A.V.C. College of Engineering
Research areas: Computer Science · Artificial Intelligence · Cryptography and Data Security · Quantum Information and Cryptography · Blockchain Technology Applications and Security
0000-0001-5299-8472
About
Dr. V. Padmavathi, M.E., Ph.D., is a Professor & Head in the Department of Information Technology at A.V.C. College of Engineering, Mannampandal, Mayiladuthurai. With over 18 years of teaching experience and 2 years of industrial experience, she has contributed to 32 research in areas such as Internet of Things, Computer Networks, and Cyber Threat Intelligence. She also served as a resource person for various workshops and programs. Her dedication to education and technology underscores her valuable contributions to the field. Her academic contributions include research papers, book chapters, book publication, patents, and conference presentations. She has conducted ICSSR-sponsored national seminars during 2021-22, 2022-23, and 2023-24, and DRDO-sponsored national seminars during 2023-24. Her commitment to education extends beyond the classroom, as she actively contributes to workshops and programs.
Author’s full name : Padmavathi Velusamy
Department: Information Technology
Affiliation details: A.V.C.College of Engineering
Official Mail id:[email protected]
Orcid ID: https://orcid.org/0000-0001-5299-8472
Employment
-
A.V.C. College of Engineering Professor & Head2008 - Present
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (18)
- Orchestrating Scalable Software Engineering Workflows: A Reconfigurable Agent-Based Framework for Lifecycle Automation and Cross-Phase Optimization Save
- Reinventing Deterministic Execution: Timestamp Aware Adaptive Concurrency Control Across Distributed and Flow Based Systems Save
- A Unified Adaptive Deterministic Concurrency Control Framework for Distributed Systems Save
- An Adaptive Computation Model for Fault‐Tolerant Execution of Complex Scientific Workflows in Distributed and Federated Cloud Infrastructures Save
- Adaptive contextual memory network for enhanced communication and efficiency in the internet of underwater things Save
- Digital twin driven smart factories: real time physics based co-simulation using edge a.i. and federated learning Save
- TechTrends: Navigating the Frontier of Emerging Technologies Save
- Sustainability and Environmental Impact of Urban Mobility Save
- Perceived digital threats influencing smartphone use among the aging population Save
- Adaptive AI-Enhanced Signal Processing Framework for Optimized Communication in the Internet of Underwater Things (IOUT) Save
- Robust and secure image steganography with recurrent neural network and fuzzy logic integration Save
- Security for the Internet of Things Save
- Blockchain, IoT, and AI Technologies for Supply Chain Management Save
- Global Mobility Networks: Design and Development of a Secure and Lightweight Authentication Protocol Save
- Pandemic Alert with Smart Covid-19 Using Blockchain-Powered Digital Twins' Collaboration Save
- Provide affordable smart infrastructure policy applications for informal sectors Save
- An adaptive QoS supportive approach for user based services using Krill Herd Approach over Internet of Things (KHAI) Save
- Encrypting data before moving it to the cloud using specter encrytion Save