Dr Sandeep Sharma

About

Dr Sandeep Sharma received a B.Tech. Degree in Electronics Engineering from Rajiv Gandhi Technical University RGPV, Bhopal, India, in 2001 and an M.Tech. Degree in Digital Communication from Devi Ahilya University, Indore, India, in 2005. He is a PhD in Electronics and Communication Engineering from Gautam Buddha University, Greater Noida, India, in 2016.

Currently, he is working as an Assistant Professor in the Department of Electronics Engineering, Madhav Institute of Technology and Science (MITS), Gwalior, India. Before MITS, he worked at Gautam Buddha University, Greater Noida, India, from 2010 to 2021. His research interest includes wireless sensor networks, wireless network security, physical layer authentication, intrusion detection in wireless networks, cross-layer design, optimization problems in WSNs, and machine learning applications in WSNs and supervised 72 M.Tech. Dissertations and currently supervising 3 PhD scholars in these areas. He has published 30 research papers in reputed international journals with high impact factors, and 41 papers were published in international conferences. He also has 5 Indian/International patents to his credits.

Dr. Sharma is a recipient of the Best Conference Paper in the international conference ICCCS,2016 and the Young Scientist Award in 2019 for his research work. He is an active reviewer of IET Communications, IEEE Wireless Comm. Letters, IEEE Access, Journal of Information Technology (Springer), Personal and Ubiquitous Computing (Springer), Multimedia Tools and Applications (Springer), Complex and Intelligent Systems(Springer), Artificial Intelligence Review (Springer), Indonesian Journal of Electrical Engineering and Computer Science, International Journal of Computer Applications in Technology (Inderscience), International Journal of Communication Systems (Wiley), Journal of The Institution of Engineers (India): Series B, Journal of Intelligent and Fuzzy Systems, Neural Networks Elsevier, Sensor (MDPI), and Designs (MDPI), Electronics (MDPI), Expert Systems with Applications (Elsevier).International Journal of Information Technology \& Decision Making (World Scientific).

Employment

• Madhav Institute of Technology and Science Assistant Professor
  2021 - Present
• Gautam Buddha University Assistant Professor
  2010 - 2021
• Swami Vivekanand College of Engineering Assistant Professor and Head
  2005 - 2010

Education

• Rajiv Gandhi Proudyogiki Vishwavidyalaya B.Tech.
  1997 - 2001

Projects & Funding

Projects & funding information is unavailable.

Publications (88)

• κ-Coverage Reliability for Wireless Multihop Network incorporating Boundary Effect
  Computer Networks 2024 DOI: 10.1016/j.comnet.2023.110119
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• P2CA-GAM-ID: Coupling of probabilistic principal components analysis with generalised additive model to predict the k−barriers for intrusion detection
  Engineering Applications of Artificial Intelligence 2023 DOI: 10.1016/j.engappai.2023.107137
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• A deep learning approach to predict the number of k-barriers for intrusion detection over a circular region using wireless sensor networks
  Expert Systems with Applications 2023 DOI: 10.1016/j.eswa.2022.118588
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• Effective Coverage Analysis for Wireless Multihop Sensor Network Incorporate Overlapping
  2023 DOI: 10.1007/978-981-99-0969-8_51
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• An energy efficient cluster based hybrid optimization algorithm with static sink and mobile sink node for Wireless Sensor Networks
  Expert Systems with Applications 2022 DOI: 10.1016/j.eswa.2022.117334
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• Intrusion Detection System in Wireless Sensor Network Using Conditional Generative Adversarial Network
  Wireless Personal Communications 2022 DOI: 10.1007/s11277-022-09776-x
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• LT-FS-ID: Log-Transformed Feature Learning and Feature-Scaling-Based Machine Learning Algorithms to Predict the k-Barriers for Intrusion Detection Using Wireless Sensor Network
  Sensors 2022 DOI: 10.3390/s22031070
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• Image Enhancement and Features Extraction of Electron Microscopic Images Using Sigmoid Function and 2D-DCT
  IEEE Access 2022 DOI: 10.1109/ACCESS.2022.3192416
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• A novel model to eliminate the doubly near-far problem in wireless powered communication network
  IET Communications 2021
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• Strategies based on various aspects of clustering in wireless sensor networks using classical, optimization and machine learning techniques: Review, taxonomy, research findings, challenges and future directions
  Computer Science Review 2021 DOI: 10.1016/J.COSREV.2021.100376
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