Ramadoss Balakrishnan

About

Dr. (Mr.) B. Ramadoss received the M.Tech degree in Computer science and Engineering in 1995 from the Indian
Institute of Technology, Delhi and the Ph.D. degree in Applied Mathematics in 1983 from Indian Institute of Technology,
Bombay. Currently, he is working as a Professor (HAG) Computer Applications at National Institute of Technology,
Tiruchirappalli. He has 30 + years of teaching & research experience.
Under his guidance, 13 have successfully completed Ph.D. programme. He has 100+ research publications with
49 reputed journals indexed in SCI/SCIE/Scopus and 55 reputed conferences. His research interests include
Security and Privacy in Big Data and Cloud, Software Testing; Information Retrieval. He is a recipient of Best Teacher
(Computer Applications) Award at National Institute of Technology, Tiruchirappalli, India during 2006-2007.
He served as Board of Studies Member in many reputed Universities/Institutions in India. He served as
Member-Academic Council, Anna University, Chennai during 2015-'17. He has visited US (2006 & 2016); Singapore
(2013); Thailand (2008) and Sharjah (on a teaching assignment during 1997-2000). He is a Senior Member of IEEE, Life
Member (LM) of ISTE, New Delhi, Life Member (LM), and Computer Society of India.

Employment

• National Institute of Technology Tiruchirappalli Professor (HAG) - Retd.

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (53)

• Pneumonia Detection in Chest X-Rays using Transfer Learning and TPUs
  Engineering, Technology and Applied Science Research 2023 DOI: 10.48084/etasr.6335
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• Generative Segment-pose Representation based Augmentation (GSRA) for unsupervised person re-identification
  Image and Vision Computing 2023 DOI: 10.1016/j.imavis.2023.104632
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• SERPYTOR: A DISTRIBUTED CONTEXT-AWARE COMPUTATIONAL GRAPH EXECUTION FRAMEWORK FOR DURABLE EXECUTION
  arXiv 2023 DOI: 10.48550/arXiv.2304.07555
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• A SURVEY ON BIG DATA: INFRASTRUCTURE, ANALYTICS, VISUALIZATION AND APPLICATIONS
  International Journal of Industrial Engineering : Theory Applications and Practice 2022 DOI: 10.23055/ijietap.2022.29.5.7643
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• A Statistical-Based Light-Weight Anomaly Detection Framework for Wireless Body Area Networks
  Computer Journal 2022 DOI: 10.1093/comjnl/bxab016
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• Deep Learning Techniques for COVID-19 Pandemic: Application of Transfer Learning in Deep Networks
  Studies in Computational Intelligence 2022 DOI: 10.1007/978-3-030-96634-8_6
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• Deep Residual Network and Transfer Learning-based Person Re-Identification
  Intelligent Systems with Applications 2022 DOI: 10.1016/j.iswa.2022.200137
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• Spatio-Temporal association rule based deep annotation-free clustering (STAR-DAC) for unsupervised person re-identification
  Pattern Recognition 2022 DOI: 10.1016/j.patcog.2021.108287
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• A precise sensor fault detection technique using statistical techniques for wireless body area networks
  ETRI Journal 2021 DOI: 10.4218/etrij.2019-0207
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• Ensemble human movement sequence prediction model with Apriori based Probability Tree Classifier (APTC) and Bagged J48 on Machine learning
  Journal of King Saud University - Computer and Information Sciences 2021 DOI: 10.1016/j.jksuci.2018.04.002
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