ACO-based mobile sink path determination for wireless sensor networks under non-uniform data constraints. - Praveen Kumar Donta; Tarachand Amgoth; Chandra Sekhara Rao Annavarapu (Appl. Soft Comput., 2018)

Machine learning algorithms for wireless sensor networks: A survey. - Praveen Kumar Donta; Tarachand Amgoth; Chandra Sekhara Rao Annavarapu (Inf. Fusion, 2019)

Mobile Charger Utility Maximization through Preemptive Scheduling for Rechargeable WSNs. - Madana Srinivas; Praveen Kumar Donta; Tarachand Amgoth (OCIT, 2021)

EDGF: Empirical dataset generation framework for wireless sensor networks. - Dinesh Kumar Sah; Korhan Cengiz; Praveen Kumar Donta; Venkata N. Inukollu; Tarachand Amgoth (Comput. Commun., 2021)

EDGF: Empirical dataset generation framework for wireless network networks. - Dinesh Kumar Sah; Praveen Kumar Donta; Tarachand Amgoth (CoRR, 2021)

An extended ACO-based mobile sink path determination in wireless sensor networks. - Praveen Kumar Donta; Tarachand Amgoth; Chandra Sekhara Rao Annavarapu (J. Ambient Intell. Humaniz. Comput., 2021)

Dynamic mobile charger scheduling with partial charging strategy for WSNs using deep-Q-networks. - Sanjai Prasada Rao Banoth; Praveen Kumar Donta; Tarachand Amgoth (Neural Comput. Appl., 2021)

CCEI-IoT: Clustered and Cohesive Edge Intelligence in Internet of Things. - Chinmaya Kumar Dehury; Praveen Kumar Donta; Schahram Dustdar; Satish Narayana Srirama (EDGE, 2022)

Distributed Computing Continuum Systems - Opportunities and Research Challenges. - Victor Casamayor-Pujol; Praveen Kumar Donta; Andrea Morichetta 002; Ilir Murturi; Schahram Dustdar (ICSOC Workshops, 2022)

The Promising Role of Representation Learning for Distributed Computing Continuum Systems. - Praveen Kumar Donta; Schahram Dustdar (SOSE, 2022)

Survey on recent advances in IoT application layer protocols and machine learning scope for research directions. - Praveen Kumar Donta; Satish Narayana Srirama; Tarachand Amgoth; Chandra Sekhara Rao Annavarapu (Digit. Commun. Networks, 2022)

Joint Beamforming, Power Allocation, and Splitting Control for SWIPT-Enabled IoT Networks with Deep Reinforcement Learning and Game Theory. - JainShing Liu; Chun-Hung Richard Lin; Yu-Chen Hu; Praveen Kumar Donta (Sensors, 2022)

Delay-aware data fusion in duty-cycled wireless sensor networks: A Q-learning approach. - Praveen Kumar Donta; Tarachand Amgoth; Chandra Sekhara Rao Annavarapu (Sustain. Comput. Informatics Syst., 2022)

Controlling Data Gravity and Data Friction: From Metrics to Multidimensional Elasticity Strategies. - Boris Sedlak; Victor Casamayor-Pujol; Praveen Kumar Donta; Schahram Dustdar (SSE, 2023)

Community AI: Towards Community-based Federated Learning. - Ilir Murturi; Praveen Kumar Donta; Schahram Dustdar (CogMI, 2023)

Learning-Driven Zero Trust in Distributed Computing Continuum Systems. - Ilir Murturi; Praveen Kumar Donta; Victor Casamayor-Pujol; Andrea Morichetta 002; Schahram Dustdar (DASC/PiCom/CBDCom/CyberSciTech, 2023)

Towards Intelligent Data Protocols for the Edge. - Praveen Kumar Donta; Schahram Dustdar (EDGE, 2023)

Designing Reconfigurable Intelligent Systems with Markov Blankets. - Boris Sedlak; Victor Casamayor-Pujol; Praveen Kumar Donta; Schahram Dustdar (ICSOC (1), 2023)

Towards Serverless Data Exchange Within Federations. - Boris Sedlak; Victor Casamayor-Pujol; Praveen Kumar Donta; Sebastian Werner 001; Karl Wolf; Matteo Falconi; Frank Pallas; Schahram Dustdar; Stefan Tai; Pierluigi Plebani (SummerSOC, 2023)

Federated Domain Generalization: A Survey. - Ying Li 037; Xingwei Wang 001; Rongfei Zeng; Praveen Kumar Donta; Ilir Murturi; Min Huang 001; Schahram Dustdar (CoRR, 2023)

Blockchain-based Zero Trust on the Edge. - Cem Bicer; Ilir Murturi; Praveen Kumar Donta; Schahram Dustdar (CoRR, 2023)

CommunityAI: Towards Community-based Federated Learning. - Ilir Murturi; Praveen Kumar Donta; Schahram Dustdar (CoRR, 2023)

Learning-driven ubiquitous mobile edge computing: Network management challenges for future generation Internet of Things. - Praveen Kumar Donta; Edmundo Monteiro; Chinmaya Kumar Dehury; Ilir Murturi (Int. J. Netw. Manag., 2023)

Fundamental Research Challenges for Distributed Computing Continuum Systems. - Victor Casamayor-Pujol; Andrea Morichetta 002; Ilir Murturi; Praveen Kumar Donta; Schahram Dustdar (Inf., 2023)

Edge Intelligence - Research Opportunities for Distributed Computing Continuum Systems. - Victor Casamayor-Pujol; Praveen Kumar Donta; Andrea Morichetta 002; Ilir Murturi; Schahram Dustdar (IEEE Internet Comput., 2023)

Optimal rendezvous points selection and mobile sink trajectory construction for data collection in WSNs. - Bala Gangadhara Gutam; Praveen Kumar Donta; Chandra Sekhara Rao Annavarapu; Yu-Chen Hu (J. Ambient Intell. Humaniz. Comput., 2023)

Joint Data Transmission and Energy Harvesting for MISO Downlink Transmission Coordination in Wireless IoT Networks. - Jain-Shing Liu; Chun-Hung Richard Lin; Yu-Chen Hu; Praveen Kumar Donta (Sensors, 2023)

Cooperative Transmission Scheduling and Computation Offloading With Collaboration of Fog and Cloud for Industrial IoT Applications. - Abhishek Hazra; Praveen Kumar Donta; Tarachand Amgoth; Schahram Dustdar (IEEE Internet Things J., 2023)

iCoCoA: intelligent congestion control algorithm for CoAP using deep reinforcement learning. - Praveen Kumar Donta; Satish Narayana Srirama; Tarachand Amgoth; Chandra Sekhara Rao Annavarapu (J. Ambient Intell. Humaniz. Comput., 2023)

On Distributed Computing Continuum Systems. - Schahram Dustdar; Victor Casamayor-Pujol; Praveen Kumar Donta (IEEE Trans. Knowl. Data Eng., 2023)

Target-aware distributed coverage and connectivity algorithm for wireless sensor networks. - Sanjai Prasada Rao Banoth; Praveen Kumar Donta; Tarachand Amgoth (Wirel. Networks, 2023)

Editorial: Efficient deep neural network for intelligent robot system: Focusing on visual signal processing. - Xiao Bai 001; Xin Ning 001; Praveen Kumar Donta; Weijun Li 002 (Frontiers Neurorobotics, 2023)

Stochastic Modeling for Intelligent Software-Defined Vehicular Networks: A Survey. - Banoth Ravi; Blesson Varghese; Ilir Murturi; Praveen Kumar Donta; Schahram Dustdar; Chinmaya Kumar Dehury; Satish Narayana Srirama (Comput., 2023)

Exploring the Potential of Distributed Computing Continuum Systems. - Praveen Kumar Donta; Ilir Murturi; Victor Casamayor-Pujol; Boris Sedlak; Schahram Dustdar (Comput., 2023)

Governance and sustainability of distributed continuum systems: a big data approach. - Praveen Kumar Donta; Boris Sedlak; Victor Casamayor-Pujol; Schahram Dustdar (J. Big Data, 2023)

Invited Paper: DeepSLOs for the Computing Continuum. - Victor Casamayor-Pujol; Boris Sedlak; Yanwei Xu; Praveen Kumar Donta; Schahram Dustdar (ApPLIED@PODC, 2024)

A Graph-based Approach to Human Activity Recognition. - Thomas Peroutka; Ilir Murturi; Praveen Kumar Donta; Schahram Dustdar (CogMI, 2024)

Markov Blanket Composition of SLOs. - Boris Sedlak; Victor Casamayor-Pujol; Praveen Kumar Donta; Schahram Dustdar (EDGE, 2024)

Collaborative Inference in DNN-Based Satellite Systems with Dynamic Task Streams. - Jinglong Guan; Qiyang Zhang; Ilir Murturi; Praveen Kumar Donta; Schahram Dustdar; Shangguang Wang (ICC, 2024)

Active Inference on the Edge: A Design Study. - Boris Sedlak; Victor Casamayor-Pujol; Praveen Kumar Donta; Schahram Dustdar (PerCom Workshops, 2024)

Diffusing High-level SLO in Microservice Pipelines. - Boris Sedlak; Victor Casamayor-Pujol; Praveen Kumar Donta; Schahram Dustdar (SOSE, 2024)

Follow-Me AI: Energy-Efficient User Interaction with Smart Environments. - Alaa Saleh; Praveen Kumar Donta; Roberto Morabito; Naser Hossein Motlagh; Lauri Lovén (CoRR, 2024)

Adaptive Stream Processing on Edge Devices through Active Inference. - Boris Sedlak; Victor Casamayor-Pujol; Andrea Morichetta 002; Praveen Kumar Donta; Schahram Dustdar (CoRR, 2024)

Equilibrium in the Computing Continuum through Active Inference. - Boris Sedlak; Victor Casamayor-Pujol; Praveen Kumar Donta; Schahram Dustdar (Future Gener. Comput. Syst., 2024)

On Causality in Distributed Continuum Systems. - Victor Casamayor-Pujol; Boris Sedlak; Praveen Kumar Donta; Schahram Dustdar (IEEE Internet Comput., 2024)

Low discrepancy on non-linear sensor deployment in a time-critical linear IIoT network. - G. Thirumal; Chiranjeev Kumar; Praveen Kumar Donta (Internet Things, 2024)

Learning-driven Data Fabric Trends and Challenges for cloud-to-thing continuum. - Praveen Kumar Donta; Chinmaya Kumar Dehury; Yu-Chen Hu (J. King Saud Univ. Comput. Inf. Sci., 2024)

Marketing Decision Model and Consumer Behavior Prediction With Deep Learning. - Anfeng Xu; Yue Li; Praveen Kumar Donta (J. Organ. End User Comput., 2024)

A Privacy Enforcing Framework for Data Streams on the Edge. - Boris Sedlak; Ilir Murturi; Praveen Kumar Donta; Schahram Dustdar (IEEE Trans. Emerg. Top. Comput., 2024)

Securing Clustered Edge Intelligence With Blockchain. - Chinmaya Kumar Dehury; Satish Narayana Srirama; Praveen Kumar Donta; Schahram Dustdar (IEEE Consumer Electron. Mag., 2024)

Federated KNN-Based Privacy-Preserving Position Recommendation for Indoor Consumer Applications. - Pothuri Surendra Varma; Veena Anand; Praveen Kumar Donta (IEEE Trans. Consumer Electron., 2024)

Distributed AI in Zero-Touch Provisioning for Edge Networks: Challenges and Research Directions. - Abhishek Hazra; Andrea Morichetta 002; Ilir Murturi; Lauri Lovén; Chinmaya Kumar Dehury; Victor Casamayor-Pujol; Praveen Kumar Donta; Schahram Dustdar (Computer, 2024)

A Systematic Review on Privacy-Aware IoT Personal Data Stores. - George Pacheco Pinto; Praveen Kumar Donta; Schahram Dustdar; Cássio V. S. Prazeres (Sensors, 2024)

Human-Based Distributed Intelligence in Computing Continuum Systems. - Praveen Kumar Donta; Boris Sedlak; Ilir Murturi; Victor Casamayor-Pujol; Schahram Dustdar (IEEE Internet Comput., 2025)

Follow-Me AI: Energy-Efficient User Interaction With Smart Environments. - Alaa Saleh; Praveen Kumar Donta; Roberto Morabito; Naser Hossein Motlagh; Sasu Tarkoma; Lauri Lovén (IEEE Pervasive Comput., 2025)

Benchmarking Dynamic SLO Compliance in Distributed Computing Continuum Systems. - Alfreds Lapkovskis; Boris Sedlak; Sindri Magnússon; Schahram Dustdar; Praveen Kumar Donta (CoRR, 2025)

Optimizing Multi-DNN Inference on Mobile Devices through Heterogeneous Processor Co-Execution. - Yunquan Gao; Zhiguo Zhang; Praveen Kumar Donta; Chinmaya Kumar Dehury; Xiujun Wang; Dusit Niyato; Qiyang Zhang (CoRR, 2025)

KDN-FLB: Knowledge-Defined Networking Through Federated Learning and Blockchain. - Ying Li 037; Praveen Kumar Donta; Xingwei Wang 001; Ilir Murturi; Min Huang 001; Schahram Dustdar (Computer, 2025)

UserCentrix: An Agentic Memory-augmented AI Framework for Smart Spaces. - Alaa Saleh; Sasu Tarkoma; Praveen Kumar Donta; Naser Hossein Motlagh; Schahram Dustdar; Susanna Pirttikangas; Lauri Lovén (CoRR, 2025)

Dynamic and Distributed Routing in IoT Networks based on Multi-Objective Q-Learning. - Shubham Vaishnav; Praveen Kumar Donta; Sindri Magnússon (CoRR, 2025)

Adaptive Budgeted Multi-Armed Bandits for IoT with Dynamic Resource Constraints. - Shubham Vaishnav; Praveen Kumar Donta; Sindri Magnússon (CoRR, 2025)

Communication-Efficient Federated Learning for Heterogeneous Clients. - Ying Li 037; Xingwei Wang 001; Haodong Li; Praveen Kumar Donta; Min Huang 001; Schahram Dustdar (ACM Trans. Internet Techn., 2025)

Graph-based Gossiping for Communication Efficiency in Decentralized Federated Learning. - Huong Nguyen; Hong-Tri Nguyen; Praveen Kumar Donta; Susanna Pirttikangas; Lauri Lovén (CoRR, 2025)

Performance Measurements in the AI-Centric Computing Continuum Systems. - Praveen Kumar Donta; Qiyang Zhang; Schahram Dustdar (CoRR, 2025)

Spiking Neural Networks in Intelligent Edge Computing. - Guanlei Zhang; Lei Feng 001; Fanqin Zhou; Zhixiang Yang; Qiyang Zhang; Alaa Saleh; Praveen Kumar Donta; Chinmaya Kumar Dehury (IEEE Consumer Electron. Mag., 2025)

A survey on fault diagnosis algorithms for high-speed train bearings. - Mingzhou Yang; Tongbo Zhang; Haibo Yang; Kexin Li; Praveen Kumar Donta (Computing, 2025)

SatCooper: Enhancing Cooperative Inference Analytics for Satellite Service via Multi-Exit DNNs. - Qiyang Zhang; Shangguang Wang; Jinglong Guan; Praveen Kumar Donta; Xiao Ma 009; RangaRao Venkatesha Prasad; Schahram Dustdar; Xuanzhe Liu (IEEE Trans. Mob. Comput., 2025)