Personal information

meta-heuristic optimization
India

Biography

Dr Balamurugan Rengeswaran received his B.E. degree in Computer Science and Engineering in 2010 from the Government College of Engineering, Salem and his M.E. degree in Computer Science and Engineering in 2012 from the Bannari Amman Institute of Technology, Sathyamangalam. He completed his Ph.D. in Information and Communication Engineering in 2016 at Anna University, Chennai, India. He is currently working as an Associate Professor in the School of Computer Science and Engineering at the Vellore Institute of Technology, India. He has more than six years' experience working in academia and research, and his research interests include computational areas covering data mining, meta-heuristic optimization, and data analytics. He has published numerous articles in national and international journals, conference proceedings, and books, and is a reviewer for various journals. He is also a member of several national and international professional bodies including ISRD, IAENG and WASET.

Activities

Employment (3)

Vellore Institute of Technology University: Vellore, Tamil Nadu, IN

2018-05-02 to present | Associate Professor (Analytics)
Employment
Source: Self-asserted source
Balamurugan R

Bharat Institute of Engineering and Technology: Hyderabad, Telangana, IN

2017-03-08 to 2018-04-23 | Associate Professor (computer science and engineering)
Employment
Source: Self-asserted source
Balamurugan R

Bannari Amman Institute of Technology: Sathyamangalam, Tamil Nadu, IN

2016-12-02 to 2017-02-28 | Assistant Professor (Computer Science and Engineering)
Employment
Source: Self-asserted source
Balamurugan R

Education and qualifications (1)

Anna University Chennai: Chennai, Tamil Nadu, IN

2013-07-01 to 2016-01-12 | Phd (ICE)
Education
Source: Self-asserted source
Balamurugan R

Works (15)

An efficient deep neural network model for tuberculosis detection using chest X-ray images

Neural Computing and Applications
2024-08 | Journal article
Contributors: M. Balamurugan; R. Balamurugan
Source: check_circle
Crossref

GoldenFish Sentinel feature selection with SBM classifier for automatic seizure detection from EEG data

Biomedical Signal Processing and Control
2024-06-01 | Journal article
Part of ISSN: 1746-8094
Contributors: S.S. Rajasekar; R. Balamurugan
Source: Self-asserted source
Balamurugan R

Double attention Res-U-Net-based Deep Neural Network Model for Automatic Detection of Tuberculosis in Human Lungs

International Journal of Image and Graphics
2024-04-18 | Journal article
Contributors: M. Balamurugan; R. Balamurugan
Source: check_circle
Crossref

Protein Sequence Classification Using Bidirectional Encoder Representations from Transformers (BERT) Approach

SN Computer Science
2023-06-26 | Journal article
Contributors: R. Balamurugan; Saurabh Mohite; S. P. Raja
Source: check_circle
Crossref

Triclustering of gene expression microarray data using a hybrid bio-inspired approach

International Journal of Computational Biology and Drug Design
2023-05-05 | Journal article
Part of ISSN: 1756-0756
Part of ISSN: 1756-0764
Contributors: R. Balamurugan; Pushkar Nahar; Suyash Agarwal; S.P. Raja
Source: Self-asserted source
Balamurugan R

Prediction of Flooding Due to Heavy Rainfall in India Using Machine Learning Algorithms: Providing Advanced Warning

IEEE Systems, Man, and Cybernetics Magazine
2022-10 | Journal article
Contributors: R. Balamurugan; Kshitiz Choudhary; S.P. Raja
Source: check_circle
Crossref

Visual and textual features based email spam classification using S-Cuckoo search and hybrid kernel support vector machine

Cluster Computing
2019 | Journal article
EID:

2-s2.0-85039701994

Contributors: Kumaresan, T.; Saravanakumar, S.; Balamurugan, R.
Source: Self-asserted source
Balamurugan R via Scopus - Elsevier

Cancer diagnosis epigenomics scientific workflow scheduling in the cloud computing environment using an improved PSO algorithm

Asian Pacific Journal of Cancer Prevention
2018 | Journal article
EID:

2-s2.0-85040988895

Contributors: Sadhasivam, N.; Balamurugan, R.; Pandi, M.
Source: Self-asserted source
Balamurugan R via Scopus - Elsevier

A New Hybrid Cuckoo Search Algorithm for Biclustering of Microarray Gene-Expression Data

Applied Artificial Intelligence
2018-09-14 | Journal article
Contributors: R. Balamurugan; A.M. Natarajan; K. Premalatha
Source: check_circle
Crossref
grade
Preferred source (of 2)‎

Cancer detection in microarray data using a modified cat swarm optimization clustering approach

Asian Pacific Journal of Cancer Prevention
2017 | Journal article
EID:

2-s2.0-85038967989

Contributors: Pandi, M.; Balamurugan, R.; Sadhasivam, N.
Source: Self-asserted source
Balamurugan R via Scopus - Elsevier

Stellar mass black hole for engineering optimization

Recent Developments in Intelligent Nature-Inspired Computing
2017 | Book chapter
EID:

2-s2.0-85027502729

Contributors: Kandhasamy, P.; Balamurugan, R.; Kannimuthu, S.
Source: Self-asserted source
Balamurugan R via Scopus - Elsevier

A modified harmony search method for biclustering microarray gene expression data

International Journal of Data Mining and Bioinformatics
2016 | Journal article
EID:

2-s2.0-85013059323

Contributors: Balamurugan, R.; Natarajan, A.M.; Premalatha, K.
Source: Self-asserted source
Balamurugan R via Scopus - Elsevier

Biclustering microarray gene expression data using modified Nelder-Mead method

International Journal of Information and Communication Technology
2016 | Journal article
EID:

2-s2.0-84979582075

Contributors: Balamurugan, R.; Natarajan, A.M.; Premalatha, K.
Source: Self-asserted source
Balamurugan R via Scopus - Elsevier

A nature inspired swarm based stellar-mass black hole for engineering optimization

Proceedings of 2015 IEEE International Conference on Electrical, Computer and Communication Technologies, ICECCT 2015
2015 | Conference paper
EID:

2-s2.0-84954176845

Contributors: Premalatha, K.; Balamurugan, R.
Source: Self-asserted source
Balamurugan R via Scopus - Elsevier

Stellar-mass black hole optimization for biclustering microarray gene expression data

Applied Artificial Intelligence
2015 | Journal article
EID:

2-s2.0-84928411201

Contributors: Balamurugan, R.; Natarajan, A.M.; Premalatha, K.
Source: Self-asserted source
Balamurugan R via Scopus - Elsevier

Peer review (2 reviews for 2 publications/grants)

Review activity for Medical & biological engineering & computing. (1)
Review activity for Soft computing. (1)