Manoharan Poongodi

|Manoharan Poongodi - Editor|Dr. M. Poongodi received the B.Tech. degree in information technology (IT) from Anna University, Chennai, the M.E. degree in computer science (CSE) from St.Peters University, and the Ph.D. degree in information security from Anna University. She has teaching experience of more than five years. Her many cited publications in highly indexed journals talks about her vast knowledge and skill set in the area of blended areas network security, the IoT, machine learning, and deep learning. Her research interest is also extended in the areas of network analysis using social networking, mobile computing, Web services, 4G communication, cloud computing, and information security through anomaly detection. She is a renowned expert in networks field and a mass stunning speaker who has inspired a lot of students on network simulation through her hands on experience sessions. Many students have been done their B.E., M.E., M.Tech., and MCA projects under her guidance. She is with Hamad Bin Khalifa University and having expertise in many research areas.

Publications

Federated Learning and Privacy-Preserving in Healthcare AI
Federated Learning and Privacy-Preserving in Healthcare AI
Umesh Kumar Lilhore, Sarita Simaiya, Manoharan Poongodi, Vishal Dutt. © 2024. 351 pages.
The use of artificial intelligence (AI) in data-driven medicine has revolutionized healthcare, presenting practitioners with unprecedented tools for diagnosis and personalized...
Autonomous Transaction Model for E-Commerce Management Using Blockchain Technology
Autonomous Transaction Model for E-Commerce Management Using Blockchain Technology
Sekar S., Annamalai Solayappan, Srimathi J., S. Raja, Durga S., Poongodi Manoharan, Mounir Hamdi, Godwin Brown Tunze. © 2022. 14 pages.
A blockchain is an advanced technology that can power over a decentralized network. The authors bring it up to design the autonomous transaction system for e-commerce...
Social Network Analysis for Precise Friend Suggestion for Twitter by Associating Multiple Networks Using ML
Social Network Analysis for Precise Friend Suggestion for Twitter by Associating Multiple Networks Using ML
Dharmendra Kumar Singh Singh, Nithya N., Rahunathan L., Preyal Sanghavi, Ravirajsinh Sajubha Vaghela, Poongodi Manoharan, Mounir Hamdi, Godwin Brown Tunze. © 2022. 11 pages.
The main aim in this paper is to create a friend suggestion algorithm that can be used to recommend new friends to a user on Twitter when their existing friends and other details...