Rajalakshmi Krishnamurthi

About

Dr K. Rajalakshmi is a Senior Member of ACM, Senior Member of IEEE, Board Member in ACM-N2Women, Professional Member of SIAM and CSI. She is currently serving as Treasurer, Delhi ACM-W chapter. Dr Rajalakshmi is currently serving as Associate Professor, Department of Computer Science and Engineering, Jaypee Institute of Information Technology, Noida. She has more than 21 years of teaching experience. She has more than 100 research publications in various reputed peer-reviewed International Journal, Book Chapters, and International Conferences. She has edited four books. She is serving as Guest Editor in Springer Nature and Recent Patent on Engineering. Her research interest includes Internet of Things, Cloud Computing, optimization techniques in wireless mobile networks, layer 2 problems in LTE, Femtocells, e-learning applications using mobile platform and advanced fuzzy approaches. She has introduced and developed several courses at B.Tech and M.Tech level. She has refereed in reputed Journals like IEEE IoT, Wireless Networks, Peer to Peer Springer, IGI global. She has been a technical program member in several International Conferences IC3’19, NGCT’19, NGCT’18, UPCON’19, IC3'16, IC3'17, IC3’18, ICACC’17, IC3TSN’17.

Employment

• Jaypee Institute of Information Technology Associate Professor
  2003 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (49)

• AF-QLSTM: Acoustic Feature Prediction using Quantum LSTM for Smart City
  2025 DOI: 10.1145/3770501.3771305
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• Empowering agricultural security with IoT and deep learning driven real-time alert systems
  International Journal of Information Technology 2024 DOI: 10.1007/s41870-024-02074-8
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• IoT-based real-time object detection system for crop protection and agriculture field security
  Journal of Real-Time Image Processing 2024 DOI: 10.1007/s11554-024-01488-8
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• HCDQN-ORA: a novel hybrid clustering and deep Q-network technique for dynamic user location-based optimal resource allocation in a fog environment
  The Journal of Supercomputing 2024 DOI: 10.1007/s11227-023-05832-w
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• Chatbot-Based Android Application Towards Security Using FCM
  2024 DOI: 10.1007/978-981-99-9811-1_39
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• Serverless Computing: New Trends and Research Directions
  2023 DOI: 10.1007/978-3-031-26633-1_1
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• Autonomous Vehicles and Intelligent Automation: Applications, Challenges, and Opportunities
  Mobile Information Systems 2022 DOI: 10.1155/2022/7632892
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• A Comprehensive Neural Network Model for Colorization and Captioning of Images Along with IoT Deployment
  Wireless Personal Communications 2021 DOI: 10.1007/s11277-021-08819-z
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• A Novel Simulated-Annealing Based Electric Bus System Design, Simulation, and Analysis for Dehradun Smart City
  IEEE Access 2020 DOI: 10.1109/ACCESS.2020.2990190
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• Wearable devices and IoT
  Intelligent Systems Reference Library 2020 DOI: 10.1007/978-3-030-23983-1_10
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