Hrishikesh Dutta

Orcid: 0000-0002-9226-4040

According to our database1, Hrishikesh Dutta authored at least 32 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Unsupervised Speaker Diarization in Distributed IoT Networks Using Federated Learning.
IEEE Trans. Emerg. Top. Comput. Intell., April, 2025

Data-driven Modality Fusion: An AI-enabled Framework for Large-Scale Sensor Network Management.
CoRR, February, 2025

Towards Federated Multi-Armed Bandit Learning for Content Dissemination using Swarm of UAVs.
CoRR, January, 2025

An AI-Driven, Scalable, and Modular Digital Twin Framework for Traffic Management.
Proceedings of the 2025 IEEE Wireless Communications and Networking Conference (WCNC), 2025

Smart City Digital Twin Edge-Core Deployment: A Case Study on Traffic and Air Quality Management.
Proceedings of the 11th IEEE International Conference on Network Softwarization, 2025

Semi-Supervised Learning with Sparsely Labelled Multi-Sensor Activity Data for Wellness Monitoring of Infants.
Proceedings of the IEEE International Conference on Consumer Electronics, 2025

An Integrated Digital Twin Architecture for Real-Time Urban Air Quality Management.
Proceedings of the 55th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2025

Autoencoder Based Feature Compression for Bandwidth-Constrained Wireless Sensor Networks.
Proceedings of the 22nd IEEE Consumer Communications & Networking Conference, 2025

Cross-Modality Multivariate Regression for Energy-Bandwidth Economy in Resource-Constrained Agricultural IoTs.
Proceedings of the 22nd IEEE Consumer Communications & Networking Conference, 2025

2024
Contextual Deep Reinforcement Learning for Flow and Energy Management in Wireless Sensor and IoT Networks.
IEEE Trans. Green Commun. Netw., September, 2024

On-Device Semi-Supervised Activity Detection: A New Privacy-Aware Personalized Health Monitoring Approach.
Sensors, July, 2024

Harnessing Quantum Entanglement: Comprehensive Strategies for Enhanced Communication and Beyond in Quantum Networks.
CoRR, 2024

Quantum Communication: From Fundamentals to Recent Trends, Challenges and Open Problems.
CoRR, 2024

Top-k Multi-Armed Bandit Learning for Content Dissemination in Swarms of Micro-UAVs.
CoRR, 2024

Reinforcement Learning for Joint Transmit-Sleep Scheduling in Energy-harvesting Wireless Sensor Networks.
Proceedings of the International Conference on Information Networking, 2024

Exploiting the Efficient Data Modeling in Network Digital Twin to Empower Edge-Cloud Continuum.
Proceedings of the 20th International Conference on Network and Service Management, 2024

Smart City Digital Twins: A Modular and Adaptive Architecture for Real-Time Data-Driven Urban Management.
Proceedings of the 20th International Conference on Network and Service Management, 2024

2023
Distributed Federated-Multi-Armed Bandit Learning for Content Management in Connected UAVs.
IEEE Internet Things Mag., December, 2023

Federated Multi-Armed Bandit Learning for Caching in UAV-aided Content Dissemination.
Ad Hoc Networks, December, 2023

Reinforcement learning based flow and energy management in resource-constrained wireless networks.
Comput. Commun., 2023

Handling Demand Heterogeneity in UAV-aided Content Caching in Communication-challenged Environments.
Proceedings of the 24th IEEE International Symposium on a World of Wireless, 2023

Multi-armed Bandit Learning for TDMA Transmission Slot Scheduling and Defragmentation for Improved Bandwidth Usage.
Proceedings of the International Conference on Information Networking, 2023

UAV Trajectory Planning For Improved Content Availability in Infrastructure-less Wireless Networks.
Proceedings of the International Conference on Information Networking, 2023

Semi-Supervised Learning Using Sparsely Labelled Sip Events for Online Hydration Tracking Systems.
Proceedings of the International Conference on Machine Learning and Applications, 2023

Multi-Armed Bandit Learning for Content Provisioning in Network of UAVs.
Proceedings of the IEEE Global Communications Conference, 2023

2022
An On-Device Learning System for Estimating Liquid Consumption from Consumer-Grade Water Bottles and Its Evaluation.
Sensors, 2022

Distributed Reinforcement Learning for scalable wireless medium access in IoTs and sensor networks.
Comput. Networks, 2022

Reinforcement Learning for Protocol Synthesis in Resource-Constrained Wireless Sensor and IoT Networks.
Proceedings of the Ubiquitous Networking - 8th International Symposium, 2022

Wireless MAC Slot Allocation Using Distributed Multi-Armed Bandit Learning and Slot Defragmentation.
Proceedings of the 2022 International Wireless Communications and Mobile Computing, 2022

Towards a UAV-centric Content Caching Architecture for Communication-challenged Environments.
Proceedings of the IEEE Global Communications Conference, 2022

2021
Medium Access using Distributed Reinforcement Learning for IoTs with Low-Complexity Wireless Transceivers.
Proceedings of the 7th IEEE World Forum on Internet of Things, 2021

Towards Multi-agent Reinforcement Learning for Wireless Network Protocol Synthesis.
Proceedings of the 13th International Conference on COMmunication Systems & NETworkS, 2021


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