Balamurugan Balusamy

About

Balamurugan Balusamy is currently working as an Associate Dean Academics in Shiv Nadar University, Delhi-NCR. Prior to this assignment he was Professor, School of Computing Sciences & Engineering and Director International Relations at Galgotias University, Greater Noida, India. His contributions focuses on Engineering Education, Block chain and Data Sciences. His Academic degrees and twelve years of experience working as a Faculty in a global University like VIT University, Vellore has made him more receptive and prominent in his domain. He does have 200 plus high impact factor papers in Springer, Elsevier and IEEE. He has done more than 80 Edited and authored books and collaborated with eminent professors across the world from top QS ranked university. Prof. Balamurugan Balusamy has served up to the position of Associate Professor in his stint of 12 years of experience with VIT University, Vellore. He had completed his Bachelors, Masters and PhD Degrees from Top premier institutions from India. His passion is teaching and adapts different design thinking principles while delivering his lectures. He has published 80+ books on various technologies and visited 15 plus countries for his technical course. He has several top-notch conferences in his resume and has published over 200 of quality journal, conference and book chapters combined. He serves in the advisory committee for several startups and forums and does consultancy work for industry on Industrial IOT. He has given over 195 talks in various events and symposium.

Employment

• Shiv Nadar University Associate Dean Academics

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (385)

• Functionalized bacterial nanocellulose-based smart bioelectronics for biosensing
  Carbohydrate Polymer Technologies and Applications 2026 DOI: 10.1016/j.carpta.2026.101132
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• Quantum-inspired bi-level neuro-swarm optimization for UAV-based disaster recognition and response
  Machine Learning with Applications 2026 DOI: 10.1016/j.mlwa.2026.100869
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• Sustainable cellulose nanocrystal hybrid platforms for catalysis and CO2 conversion
  Carbohydrate Polymer Technologies and Applications 2026 DOI: 10.1016/j.carpta.2026.101116
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• An Interpretable and Uncertainty-Aware Deep Learning Framework for Early Sepsis Prediction Using SHAP-Enhanced Attention and Continuous-Time Neural Networks
  Machine Learning and Knowledge Extraction 2026 DOI: 10.3390/make8050129
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• An Unsupervised Cloud-Centric Intrusion Diagnosis Framework Using Autoencoder and Density-Based Learning
  Future Internet 2026 DOI: 10.3390/fi18010054
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• Enhanced Brain Tumor Classification Using Hybrid Vision Transformers (MobileViT) and Pretrained CNN Models on the Masoud MRI Dataset
  Applied Computational Intelligence and Soft Computing 2026 DOI: 10.1155/acis/2665182
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• CLAHE-Augmented MRI Dementia Classification via Soft-Voting Ensemble with Gradient-Based Analysis and Dementia Correlation
  2026 DOI: 10.1007/978-981-95-5136-1_9
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• IoT for Next-Generation Networks: A Succinct Review
  2026 DOI: 10.1007/978-981-95-5136-1_14
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• Developing a Novel Adaptive Double Deep Q-Learning-Based Routing Strategy for IoT-Based Wireless Sensor Network with Federated Learning
  Sensors 2025 DOI: 10.3390/s25103084
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• Enhancing Quality of Service in IoT-WSN Through Edge-Enabled Multi-Objective Optimization
  IEEE Transactions on Consumer Electronics 2025 DOI: 10.1109/TCE.2025.3526992
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