Shraddha Tripathi

About

Shraddha Tripathi is currently a Postdoctoral Researcher with the NSE Division at the KTH Royal Institute of Technology, Sweden. She received the joint M.S.(R) and Ph.D. degrees in Electrical Engineering from the Indian Institute of Technology Kanpur (IIT Kanpur), India, in 2025, and the B.Tech. degree in Electronics and Communications Engineering from Dr. A.P.J. Abdul Kalam Technical University, Uttar Pradesh, India, in 2016. Her research interests include edge computing, AI/ML for 5G communication systems, wireless sensor networks, and the communication aspects of machine learning and deep neural networks.

Employment

• KTH Royal Institute of Technology Postdoctoral Researcher
  2025 - Present

Education

• Indian Institute of Technology Kanpur Joint PhD-MS(R)
  2018 - 2025
• Dr. A.P.J. Abdul Kalam Technical University Bachelor of Technology
  2012 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (15)

• Revolutionizing 6G Communication: Unleashing the Potential of Reconfigurable Intelligent Surfaces
  2026 0 citations DOI: 10.1007/978-3-032-19042-0_5
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• ENADL: Towards Performance Improvement of IoT Networks Using Deep Learning-Based Node Fault Prediction
  IEEE Transactions on Reliability 2025 2 citations DOI: 10.1109/TR.2025.3540891
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• DoA Estimation in RIS-Assisted Network via Element Sampling and Sparse Reconstruction
  2024 3rd International Conference on 6G Networking (6GNet) 2024 1 citation DOI: 10.1109/6gnet63182.2024.10765606
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• Anomalous Node Detection in Socially-Aware Mobile IoT Networks Using Q-Learning
  2024 International Conference on Signal Processing and Communications (SPCOM) 2024 0 citations DOI: 10.1109/spcom60851.2024.10631577
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• Socially Aware Network Clustering for Throughput Maximization in Mobile Wireless Sensor Networks
  IEEE Transactions on Network and Service Management 2024 4 citations DOI: 10.1109/tnsm.2023.3294616
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• OptRISQL: Towards Performance Improvement of Time-Varying IoT Networks Using Q-Learning
  IEEE Transactions on Network and Service Management 2024 8 citations DOI: 10.1109/tnsm.2024.3358835
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• An Optimal Reflective Elements Grouping Model for RIS-Assisted IoT Networks Using Q-Learning
  IEEE Transactions on Circuits and Systems II: Express Briefs 2023 24 citations DOI: 10.1109/tcsii.2023.3251373
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• A Socially-Aware Radio Map Framework for Improving QoS of UAV-Assisted MEC Networks
  IEEE Transactions on Network and Service Management 2023 10 citations DOI: 10.1109/tnsm.2022.3206473
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• Optimal Data Transfer Over RIS-Assisted Edge Networks Using Coordinated 3D Beamforming
  2023 National Conference on Communications (NCC) 2023 3 citations DOI: 10.1109/ncc56989.2023.10067936
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• Energy-Efficient Data Transfer in Delay-Throughput Constrained Small-World LPWAN Using RISs
  2022 IEEE 8th World Forum on Internet of Things (WF-IoT) 2022 3 citations DOI: 10.1109/wf-iot54382.2022.10152192
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