Omkar Singh

About

Dr. Omkar Singh, Ph.D. is working as an Assistant Professor in National Institute of Fashion Technology, Patna, India. He has 15 years of teaching and research experience. He received his Bachelor of Science from MJP Rohilkhand University, Bareilly, India in the year 2007. He received Master of Computer Application with honor’s from Gautam Buddh Technical University, Lucknow, India in the year 2011 and received his Ph.D. in Computer Science and Information Technology from MJP Rohilkhand University, Bareilly in the year 2021. He also qualified UGC-NET exam in the subject ‘Computer Science and Applications’ in the year 2012. He has published more than 70 research papers in various reputed journals/conferences including Springer, IEEE, Wiley, Inderscience etc., and authored 04 books. He holds 18 patents in the fields of IoT, AI, ML, Blockchain, Supply Chain, Image Processing etc. He is a reviewer/guest editor of many journals/conferences including Elsevier, Springer, Wiley, IEEE etc. His research interests include Wireless Sensor Networks, Mobile Adhoc Networks, Cloud Computing, Internet of Things, Artificial Intelligence, Machine Learning, Blockchain Technology, Data Science and Supply Chain.

Employment

• National Institute of Fashion Technology Assistant Professor

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (42)

• FSIORT: A Fuzzy-Driven Swarm Intelligence Optimization Routing Technique for Energy-Efficient Wireless Sensor Networks
  Wireless Personal Communications 2026 DOI: 10.1007/s11277-026-12136-8
  +Save
• Adaptive energy proficient optimization routing technique using fuzzy-based swarm intelligence in WSNs
  Franklin Open 2026 DOI: 10.1016/j.fraope.2026.100651
  +Save
• Q- Learning based Localization Algorithm for Smart Agriculture in WSN-assisted IoT
  KSII Transactions on Internet and Information Systems 2025 DOI: 10.3837/tiis.2025.12.016
  +Save
• Multi-objective M-Lion optimization for energy proficient multi-path approach for scalable WSNs
  Peer-to-Peer Networking and Applications 2025 DOI: 10.1007/s12083-025-02076-8
  +Save
• Improving energy efficiency in scalable WSNs through IoT-driven approach
  International Journal of Information Technology 2025 DOI: 10.1007/s41870-025-02471-7
  +Save
• Localization in WSN‐Assisted IoT Networks Using Machine Learning Techniques for Smart Agriculture
  International Journal of Communication Systems 2025 DOI: 10.1002/dac.6004
  +Save
• Exploring Blockchain and Supply Chain Integration: State-of-the-Art, Security Issues, and Emerging Directions
  IEEE Access 2024 DOI: 10.1109/access.2024.3471340
  +Save
• Powerline interference reduction in ECG signals using variable notch filter designed via variational mode decomposition
  Analog Integrated Circuits and Signal Processing 2024 DOI: 10.1007/S10470-023-02200-9
  +Save
• Power-line interference and baseline wander elimination in ECG using VMD and EWT
  Computer Methods in Biomechanics and Biomedical Engineering 2024 DOI: 10.1080/10255842.2023.2271608
  +Save
• CONVOLUTION NEURAL NETWORKS FOR DISEASE PREDICTION: APPLICATIONS AND CHALLENGES
  Scalable Computing 2024 DOI: 10.12694/SCPE.V25I1.2097
  +Save