Publications
Papers
From IoT and sensor networks to energy forecasting, health AI and LLMs. The live list, with citations, is on Google Scholar.
Journals8
A framework for automating failure modes and effects analysis (FMEA) using large language models (LLMs) and retrieval-augmented generation (RAG)
K. V. Charan, M. Singh, S. Redhu, G. Soni
International Journal of System Assurance Engineering and Management, 17(5)
SleepXAI: An explainable deep learning approach for multi-class sleep stage identification
M. Dutt, S. Redhu, M. Goodwin, C. W. Omlin
Applied Intelligence, 53(13), 16830–16843
Optimal device selection in federated learning for resource-constrained edge networks
D. Kushwaha, S. Redhu, C. G. Brinton, R. M. Hegde
IEEE Internet of Things Journal, 10(12), 10845–10856
Network-aware RF-energy harvesting for designing energy efficient IoT networks
A. Singh, S. Redhu, B. Beferull-Lozano, R. M. Hegde
Internet of Things, 22, 100770
Cooperative network model for joint mobile sink scheduling and dynamic buffer management using Q-learning
S. Redhu, R. M. Hegde
IEEE Transactions on Network and Service Management, 17(3), 1853–1864
Optimal relay node selection in time-varying IoT networks using apriori contact pattern information
S. Redhu, R. M. Hegde
Ad Hoc Networks, 98, 102065
Optimal relay node selection for robust data forwarding over time-varying IoT networks
S. Redhu, M. Anupam, R. M. Hegde
IEEE Transactions on Vehicular Technology, 68(9), 9178–9190
Network lifetime improvement using landmark-assisted mobile sink scheduling for cyber-physical system applications
S. Redhu, R. M. Hegde
Ad Hoc Networks, 87, 37–48
Conferences23
Application of a large language model (LLM) for failure modes and effects analysis (FMEA)
K. V. Charan, S. Redhu, G. Soni, M. Singh
Unified International Conference on Emerging Technologies in Cyber…, 2024
Dynamic time-series clustering for improving appliances forecasting in smart homes
R. Raja, S. Redhu, N. Dinh
IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe) 2024, 1–5
Day-ahead zonal electricity price forecasting using 1D-LSTM with neighbouring zones data
S. Redhu, B. A. Bremdal
IEEE Belgrade PowerTech 2023, 1–6
Edge computing for improving energy management in smart homes
S. Redhu, A. Singh, B. A. Bremdal
27th International Conference on Electricity Distribution (CIRED 2023)
Cognitive data fusion for improving flexibility in smart homes
S. Redhu, R. Raja, B. A. Bremdal, H. S. Nygård
27th International Conference on Electricity Distribution (CIRED 2023)
Temporal-spatial graph neural network for wind power forecasting considering the blockage effects
X. Cheng, X. Liu, I. Ilieva, S. Redhu
3rd International Conference on Applied Artificial Intelligence (ICAPAI) 2023
A novel spatial-temporal deep neural network for electricity price forecasting
X. Cheng, I. Ilieva, B. Bremdal, S. Redhu, S. Ø. Ottesen
3rd International Conference on Applied Artificial Intelligence (ICAPAI) 2023
Low latency federated learning over wireless edge networks via efficient bandwidth allocation
D. Kushwaha, S. Redhu, R. M. Hegde
IEEE 8th World Forum on Internet of Things (WF-IoT) 2022, 1–6
Mobile energy transmitter scheduling in energy harvesting IoT networks using deep reinforcement learning
A. Singh, R. Rustagi, S. Redhu, R. M. Hegde
IEEE 8th World Forum on Internet of Things (WF-IoT) 2022, 1–6
Sleep stage identification based on single-channel EEG signals using 1-D convolutional autoencoders
M. Dutt, S. Redhu, M. Goodwin, C. W. Omlin
IEEE International Conference on E-health Networking, Application and Services (HealthCom) 2022
A deep learning-based channel aware single step signal detection in downlink multi-user NOMA
S. Kumar, M. Elnourani, B. Beferull-Lozano, S. Redhu
IEEE 96th Vehicular Technology Conference (VTC2022-Fall), 1–6
Energy-efficient UAV trajectory planning in rechargeable IoT networks
A. Singh, S. Redhu, R. M. Hegde
IEEE International Conference on Signal Processing and Communications (SPCOM) 2022
UAV altitude optimization for efficient energy harvesting in IoT networks
A. Singh, S. Redhu, R. M. Hegde
National Conference on Communications (NCC) 2022, 350–355
Cluster-based 3D-beam power management in resource-constrained wireless networks
P. Sironja, S. Redhu, R. M. Hegde, B. Beferull-Lozano
14th International Conference on Communication Systems and Networks (COMSNETS) 2022
Context-aware RF-energy harvesting for IoT networks
A. Singh, S. Redhu, R. M. Hegde
IEEE 7th World Forum on Internet of Things (WF-IoT) 2021, 77–82
Clustering-assisted 3D beamforming for throughput maximization in mmWave networks
S. Tripathi, S. Redhu, R. M. Hegde
IEEE International Conference on Communications Workshops (ICC Workshops) 2021
A cluster based sensor-selection scheme for energy-efficient agriculture sensor networks
S. Redhu, A. P. Singh, R. M. Hegde, B. Beferull-Lozano
IEEE 18th Consumer Communications and Networking Conference (CCNC) 2021
Multi-sensor data fusion for cluster-based data aggregation in IoT applications
S. Redhu, R. M. Hegde
IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) 2019
Low complexity landmark-node tracing in WSNs using multi-agent random walks
S. Redhu, R. M. Hegde
20th International Conference on Distributed Computing and Networking (ACM ICDCN) 2019
Joint data latency and packet loss optimization for relay-node selection in time-varying IoT networks
S. Redhu, M. Maheshwari, K. Yeotikar, R. M. Hegde
24th Annual International Conference on Mobile Computing and Networking (ACM MobiCom) 2018
Energy-efficient wake-up radio protocol using optimal sensor-selection for IoT
S. Redhu, R. Mahavar, R. M. Hegde
IEEE Wireless Communications and Networking Conference (WCNC) 2018, Barcelona, 1–6
Joint mobile sink scheduling and data aggregation in asynchronous wireless sensor networks using Q-learning
S. Redhu, P. Garg, R. M. Hegde
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2018, Calgary
Energy-efficient landmark tracing in WSNs using random walks on network graphs
S. Redhu, R. M. Hegde
9th International Conference on Communication Systems and Networks (COMSNETS) 2017, 399–400