Energy-efficient landmark tracing in WSNs using random walks on network graphs. - Surender Redhu; Rajesh M. Hegde (COMSNETS, 2017)

Joint Mobile Sink Scheduling and Data Aggregation in Asynchronous Wireless Sensor Networks Using Q-Learning. - Surender Redhu; Pratyush Garg; Rajesh M. Hegde (ICASSP, 2018)

Poster: Joint Data Latency and Packet Loss Optimization for Relay-Node Selection in Time-Varying IoT Networks. - Surender Redhu; Mukund Maheshwari; Kshitij Yeotikar; Rajesh M. Hegde (MobiCom, 2018)

Energy-efficient wake-up radio protocol using optimal sensor-selection for IoT. - Surender Redhu; Rahul Mahavar; Rajesh M. Hegde (WCNC, 2018)

Multi-Sensor Data Fusion for Cluster-based Data Aggregation in IoT Applications. - Surender Redhu; Rajesh M. Hegde (ANTS, 2019)

Low complexity landmark-node tracing in WSNs using multi-agent random walks. - Surender Redhu; Rajesh M. Hegde (ICDCN, 2019)

Network lifetime improvement using landmark-assisted mobile sink scheduling for cyber-physical system applications. - Surender Redhu; Rajesh M. Hegde (Ad Hoc Networks, 2019)

Optimal Relay Node Selection for Robust Data Forwarding Over Time-Varying IoT Networks. - Surender Redhu; Mayank Anupam; Rajesh M. Hegde (IEEE Trans. Veh. Technol., 2019)

Optimal relay node selection in time-varying IoT networks using apriori contact pattern information. - Surender Redhu; Rajesh M. Hegde (Ad Hoc Networks, 2020)

Cooperative Network Model for Joint Mobile Sink Scheduling and Dynamic Buffer Management Using Q-Learning. - Surender Redhu; Rajesh M. Hegde (IEEE Trans. Netw. Serv. Manag., 2020)

A Cluster based Sensor-Selection Scheme for Energy-Efficient Agriculture Sensor Networks. - Surender Redhu; Amrendra P. Singh; Rajesh M. Hegde; Baltasar Beferull-Lozano (CCNC, 2021)

Clustering-Assisted 3D Beamforming for Throughput Maximization in mmWave Networks. - Shraddha Tripathi; Surender Redhu; Rajesh M. Hegde (ICC Workshops, 2021)

Context-Aware RF-Energy Harvesting for IoT Networks. - Aditya Singh; Surender Redhu; Rajesh M. Hegde (WF-IoT, 2021)

Cluster-based 3D-Beam Power Management in Resource-Constrained Wireless Networks. - Poorva Sironja; Surender Redhu; Rajesh M. Hegde; Baltasar Beferull-Lozano (COMSNETS, 2022)

Sleep Stage Identification based on Single-Channel EEG Signals using 1-D Convolutional Autoencoders. - Micheal Dutt; Surender Redhu; Morten Goodwin; Christian W. Omlin (HealthCom, 2022)

UAV Altitude Optimization for Efficient Energy Harvesting in IoT Networks. - Aditya Singh; Surender Redhu; Rajesh M. Hegde (NCC, 2022)

Energy-Efficient UAV Trajectory Planning in Rechargeable IoT Networks. - Aditya Singh; Surender Redhu; Rajesh M. Hegde (SPCOM, 2022)

A Deep Learning-Based Channel Aware Single Step Signal Detection in Downlink Multi-User NOMA. - Sarang Kumar; Mohamed Elnourani; Baltasar Beferull-Lozano; Surender Redhu (VTC Fall, 2022)

Low Latency Federated Learning over Wireless Edge Networks via Efficient Bandwidth Allocation. - Deepali Kushwaha; Surender Redhu; Rajesh M. Hegde (WF-IoT, 2022)

Mobile Energy Transmitter Scheduling in Energy Harvesting IoT Networks using Deep Reinforcement Learning. - Aditya Singh; Rahul Rustagi; Surender Redhu; Rajesh M. Hegde (WF-IoT, 2022)

Optimal Device Selection in Federated Learning for Resource-Constrained Edge Networks. - Deepali Kushwaha; Surender Redhu; Christopher G. Brinton; Rajesh M. Hegde (IEEE Internet Things J., 2023)

SleepXAI: An explainable deep learning approach for multi-class sleep stage identification. - Micheal Dutt; Surender Redhu; Morten Goodwin; Christian W. Omlin (Appl. Intell., 2023)

Network-aware RF-energy harvesting for designing energy efficient IoT networks. - Aditya Singh; Surender Redhu; Baltasar Beferull-Lozano; Rajesh M. Hegde (Internet Things, 2023)

Dynamic Time-Series Clustering for Improving Appliances Forecasting in Smart Homes. - Rameez Raja; Surender Redhu; Nga Dinh (ISGT EUROPE, 2024)