Sunil Kumar Singh

About

Sunil Kumar Singh is currently an Assistant Professor in the Department of Computer Science and Engineering at VITAP University. He completed his PhD from the National Institute of Technology Patna, India in the area of Wireless Sensor Networks in 2018. He received the M. Tech and B. Tech degrees in Computer science and Engineering and Information Technology, both from Kalyani Government Engineering College, Kalyani, India in 2010 and 2007, respectively. He has over 40 publications in various National/International Journals & Conferences. His current research areas are Wireless Sensor Networks (WSN), IoT, VANET and UAVs.

Employment

• Manipal Academy of Higher Education Associate Professor
  2024 - Present
• VIT-AP Campus Assistant Professor
  2019 - 2024

Education

• National Institute of Technology Patna PhD
  2015 - 2018
• Kalyani Government Engineering College M. Tech
  2008 - 2010
• Kalyani Government Engineering College B. Tech
  2004 - 2007

Projects & Funding

Projects & funding information is unavailable.

Publications (37)

• DeepDefectNet: Estimating software defects with SMOTE and mRMR
  Array 2026 DOI: 10.1016/j.array.2026.101048
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• Predicting Cardiovascular Disease Using a Quantum Support Vector Machine
  Applied Artificial Intelligence 2026 DOI: 10.1080/08839514.2026.2684103
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• Multimodal Alzheimer’s Disease Classification From Heterogeneous Datasets Using Multihead Cross‐Attention CNN–BiLSTM With BAM
  Applied Computational Intelligence and Soft Computing 2026 DOI: 10.1155/acis/8280381
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• Enhancing Machine Learning Models for Mental Health Classification Through Iterative Training and Text‐Based Augmentation
  International Journal of Intelligent Systems 2026 DOI: 10.1155/int/2620320
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• A Systematic Review of VANET Routing Protocols for Intelligent Transport Systems (ITSs)
  Journal of Advanced Transportation 2026 DOI: 10.1155/atr/7999623
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• DeiTFake: Deepfake detection model using DeiT multi-stage training
  Array 2026 DOI: 10.1016/j.array.2026.100734
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• Safeguarding against external intrusions utilizing adaptive bio-inspired multi-population anomaly detection for IoT network
  PLOS One 2026 DOI: 10.1371/journal.pone.0344685
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• Metaheuristic-driven feature selection for enhanced cancer classification
  Array 2026 DOI: 10.1016/j.array.2026.100747
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• An Optimal Cluster Head Selection in UAV Networks Using Grey Wolf Optimization
  2025 DOI: 10.1007/978-3-031-81336-8_17
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• DCM-D2X: An Effective Communication Mobility Model for Decentralized Cooperative Multi-Layer Drone to Everything
  IEEE Access 2024 DOI: 10.1109/ACCESS.2024.3374228
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