B. Bazeer Ahamed

B. Bazeer Ahamed received a Bachelor of Technology in Vel Tech Engineering College, Affiliated to Anna University, Chennai, India and Master of Computer Science Engineering in Anna University of Technology, Tiruchirapalli, India Ph.D From Sathyabama Institute of Technology and Science, Chennai India. He has published more than 20 peer reviewed international journals and participated in several high profile conferences. At present he is working as Associate Professor in the department of Computer Science and Engineering , Balaji Institute of Technology and Science, Warangal, India. Prof.Bazeer research is mainly focused on Data Mining &Information retrieval; additionally his research includes Networks, Data bases, Big Data. He is a Member of IEEE,ISTE, IAENG, and CSTA. He chaired the several sessions at National and International Conferences.

Publications

Taxonomy of Influence Maximization Techniques in Unknown Social Networks
Taxonomy of Influence Maximization Techniques in Unknown Social Networks
B. Bazeer Ahamed, Sudhakaran Periakaruppan. © 2021. 13 pages.
Influence maximization in online social networks (OSNs) is the problem of discovering few nodes or users in the social network termed as ‘seed nodes', which can help the...
Deep Learning Techniques and Optimization Strategies in Big Data Analytics
Deep Learning Techniques and Optimization Strategies in Big Data Analytics
J. Joshua Thomas, Pinar Karagoz, B. Bazeer Ahamed, Pandian Vasant. © 2020. 355 pages.
Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method...
Deep Learning Techniques and Optimization Strategies in Big Data Analytics: Automated Transfer Learning of Convolutional Neural Networks Using Enas Algorithm
Deep Learning Techniques and Optimization Strategies in Big Data Analytics: Automated Transfer Learning of Convolutional Neural Networks Using Enas Algorithm
Murugan Krishnamoorthy, Bazeer Ahamed B., Sailakshmi Suresh, Solaiappan Alagappan. © 2020. 12 pages.
Construction of a neural network is the cardinal step to any machine learning algorithm. It requires profound knowledge for the developer in assigning the weights and biases to...
Computational Intelligence in the Reversible Data-Hiding Processes Using Radon Transform
Computational Intelligence in the Reversible Data-Hiding Processes Using Radon Transform
B. Bazeer Ahamed. © 2020. 11 pages.
Data hiding has emerged as a major research area due to the phenomenal growth in internet and multimedia technologies. Securing data transmitted over the internet becomes a...