Anbalagan Bhuvaneswari

Anbalagan Bhuvaneswari is working as Assistant Professor (Senior Grade) in School of Computer Science Engineering, VIT University, Chennai, India. She is an active Researcher and Mentoring students/research scholars in specific research domains including Social Network Analysis, Big Data Analytics, Machine Learning, Network Graphs, Web Mining, Recommendation Engines. She has published several International Journals, Book Chapters and presented her research findings in Reputed International Conferences apart from several papers at national level. She has 10+ years of teaching & research experience. She is been a reviewer for reputed journals indexed in SCOPUS, Web of Science and SCI/SCI-E.

Publications

Hybrid Approach for Quantifying Company Assets Using Structural Credit Risk Models
Hybrid Approach for Quantifying Company Assets Using Structural Credit Risk Models
Pranav Motarwar, Rudra Patil, Ashutosh Sanjay Lembhe, Radhika Selvamani, Anbalagan Bhuvaneswari. © 2024. 21 pages.
Global investors have been allocating resources for developing quantitative credit risk models for forecasting credit risk and estimating the cost associated with defaults in...
Wind Data Pattern and Trend Analysis Using Feature Identification and Extreme Wind Speed Prediction
Wind Data Pattern and Trend Analysis Using Feature Identification and Extreme Wind Speed Prediction
Anbalagan Bhuvaneswari, Swathi R., Kalpalathika N.. © 2024. 14 pages.
The most dangerous and destructive natural disasters in the world are wind-related. A literature review on machine learning-based approach is done for identification of wind...
Cyber-Physical System Solutions for Smart Cities
Cyber-Physical System Solutions for Smart Cities
Vanamoorthy Muthumanikandan, Anbalagan Bhuvaneswari, Balamurugan Easwaran, T. Sudarson Rama Perumal. © 2023. 182 pages.
In the implementation of smart cities, sensors and actuators that produce and consume enormous amounts of data in a variety of formats and ontologies will be incorporated into...
CrimedetGAN: A Novel Generative Digital Trace Learning System for Detecting Crime-Natured Nodes in Social Networks
CrimedetGAN: A Novel Generative Digital Trace Learning System for Detecting Crime-Natured Nodes in Social Networks
S. S. Ramyadharshni, A. Bhuvaneswari. © 2023. 20 pages.
Social networks play a dominant role in connecting communication devices, which play as essential role in exchanging a large amount of interpersonal data. As a result of exchange...
A Novel Friend Recommendation System Using Link Prediction in Social Networks
A Novel Friend Recommendation System Using Link Prediction in Social Networks
Anbalagan Bhuvaneswari, K. K. Jijina. © 2023. 13 pages.
Link prediction is a method used to predict the existence of a non-existing links between two entities within a network. However, the growing size of social networks has made...
Quantifying Information Propogation Rate and Geographical Location Extraction During Disasters Using Online Social Networks
Quantifying Information Propogation Rate and Geographical Location Extraction During Disasters Using Online Social Networks
Anbalagan Bhuvaneswari, Leela Rachel J. Julanta. © 2023. 19 pages.
The pervasive popularity of social networking facilitates the propagation of trending information and the online exchange of diverse opinions among socially connected...