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Latest publications

Recent publications by the Division of Information Science and Engineering.

[1]
J. Liu et al., "Enhancing credibility of transient stability assessment under stochastic operation modes in power systems: An incremental dataset recognition approach," Electric power systems research, vol. 253, 2026.
[2]
J. Liu et al., "A Generic Scene-Dependent Credibility Evaluation Framework for Machine Learning-based Transient Stability Assessment of Power Systems," IEEE Transactions on Power Systems, 2025.
[3]
W. Yanmin et al., "Double-target collaborative spectrum sharing for 6G hybrid satellite-terrestrial networks with user-centric channel pools," China Communications, vol. 22, no. 10, pp. 25-33, 2025.
[4]
T. Li et al., "Designing likelihood function under nuisance components in block particle filter," Mechanical systems and signal processing, vol. 241, 2025.
[5]
X. Huang et al., "A Multi-Hop Semantic Communication System Enhanced by Semantic Importance," IEEE Access, vol. 13, pp. 140685-140693, 2025.
[6]
A. Hadziaganovic et al., "Digital Twins of Industrial and 6G Systems : Enablers Towards Situational Awareness," in 2025 IEEE 30th International Conference on Emerging Technologies and Factory Automation, ETFA 2025 - Proceedings, 2025.
[7]
D. Bosser et al., "Broadband Passive Sonar Track-Before-Detect Using Raw Acoustic Data," IEEE Journal of Oceanic Engineering, vol. 50, no. 4, pp. 3106-3116, 2025.
[8]
A. Gouverneur, "An Information-Theoretic Approach to Bandits and Reinforcement Learning," Doctoral thesis Stockholm : Kungliga Tekniska högskolan, TRITA-EECS-AVL, 2025:108, 2025.
[9]
A. Gouverneur et al., "An Information-Theoretic Analysis of Thompson Sampling with Infinite Action Spaces," in ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025.
[10]
A. Gouverneur et al., "Chained Information-Theoretic Bounds and Tight Regret Rate for Linear Bandit Problems," , 2025.
[11]
A. Gouverneur, T. J. Oechtering and M. Skoglund, "An Information-Theoretic Analysis of Thompson Sampling for Logistic Bandit Problems," , 2025.
[12]
D. G. Pérez, Z. Wang and J. M.Enguita González, "CACTUS : A Context-Aware Framework for Counterfactual Explanations Across Diverse Prediction Domains," in Discovery Science - 28th International Conference, DS 2025, Proceedings, 2025, pp. 460-475.
[13]
T. Wang et al., "BatteryCDE : A Transferable Future Capacity Estimation Method for Battery Degradation With Irregular Sampling and Missing Data," IEEE TRANSACTIONS ON TRANSPORTATION ELECTRIFICATION, vol. 11, no. 4, pp. 10427-10440, 2025.
[14]
X. Chen et al., "Classification-Oriented Semantic Communication for Internet of Things," in 2025 IEEE 101st Vehicular Technology Conference, VTC 2025-Spring 2025 - Proceedings, 2025.
[15]
C. Li, M. Xiao and M. Skoglund, "Coded Robust Aggregation for Distributed Learning under Byzantine Attacks," IEEE Transactions on Information Forensics and Security, vol. 20, pp. 11636-11651, 2025.
[16]
S. Rivetti et al., "Destructive and Constructive Ris Beamforming in an Isac Multi-User Mimo Network," in ICC 2025 - IEEE International Conference on Communications, 2025, pp. 2412-2417.
[17]
J. Cao et al., "Delay Coprime Array: A New Sparse Linear Array for Fast and Robust DOA Estimation," IEEE Signal Processing Letters, vol. 32, pp. 3994-3998, 2025.
[18]
A. Ghosh, "Deep Learning-based State and Parameter Estimation in Nonlinear Dynamical Systems," Doctoral thesis Stockholm, Sweden : Kungliga Tekniska högskolan, TRITA-EECS-AVL, 2025:96, 2025.
[19]
J. Jin et al., "Cloud-Fog Automation : The New Paradigm Toward Autonomous Industrial Cyber-Physical Systems," IEEE Journal on Selected Areas in Communications, vol. 43, no. 9, pp. 2917-2937, 2025.
[20]
S. Egger et al., "End-to-End Reliability in Wireless IEEE 802.1Qbv Time-Sensitive Networks," in 2025 IEEE/ACM 33rd International Symposium on Quality of Service, IWQoS 2025, 2025.
[21]
T. Wang et al., "Domain-Adaptive Clustered Federated Transfer Learning for EV Charging Demand Forecasting," IEEE Transactions on Power Systems, vol. 40, no. 2, pp. 1241-1254, 2025.
[22]
N. Mehrnia et al., "Channel Prediction Using Deep Recurrent Neural Network With EVT-Based Adaptive Quantile Loss Function," IEEE Communications Letters, vol. 29, no. 7, pp. 1699-1703, 2025.
[23]
M. O. Olguín Muñoz et al., "Emulating Reactive Workloads for Cyber-Human Systems: A Data-Driven Methodology," IEEE Access, vol. 13, pp. 169953-169967, 2025.
[24]
S. Weng et al., "Cooperative Gradient Coding," IEEE Transactions on Communications, 2025.
[25]
Y. Chen et al., "A Kirigami-Inspired Stretchable Pressure Sensor for Conformal and Decoupled Human–Machine Touch Mapping," IEEE Sensors Journal, 2025.
[26]
A. Zamani et al., "A Unified Framework for Joint Semantic and Privacy Design Under Bounded Leakage," in SPAWC 2025 - 2025 IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications - Proceedings, 2025.
[27]
H. Zhao, M. Bengtsson and T. J. Oechtering, "A Privacy-Preserving Beamspace for Wireless Localization," in SPAWC 2025 - 2025 IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications - Proceedings, 2025.
[28]
D. Roy and J. Gross, "Causality-driven RL-based Scheduling Policies for Diverse Delay Constraints," in 2025 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2025, 2025.
[29]
S. Rivetti et al., "Clutter-Aware Target Detection for ISAC in a Millimeter-Wave Cell-Free Massive MIMO System," in SPAWC 2025 - 2025 IEEE 26th International Workshop on Signal Processing and Artificial Intelligence for Wireless Communications - Proceedings, 2025.
[30]
J. Kipen and J. Jaldén, "Brownian motion data augmentation : a method to push neural network performance on nanopore sensors," Bioinformatics, vol. 41, no. 6, 2025.
[31]
Z. Ye et al., "CA-FedRC : Codebook Adaptation via Federated Reservoir Computing in 5G NR," IEEE Transactions on Vehicular Technology, vol. 74, no. 6, pp. 9995-9999, 2025.
[32]
P. Nikolaidis et al., "A Proof of Concept Resource Management Scheme for Augmented Reality Applications in 5G Systems," in 2025 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2025, 2025.
[33]
M. Jiang et al., "ACSNet : A Deep Neural Network for Compound GNSS Jamming Signal Classification," IEEE Transactions on Cognitive Communications and Networking, 2025.
[34]
J. Kipen, "Algorithms and machine learning for single-molecule protein sequencing methods," Doctoral thesis : Kungliga Tekniska högskolan, TRITA-EECS-AVL, 2025:86, 2025.
[35]
J. Zhang et al., "Diffusion-Guided Diversity for Single Domain Generalization in Time Series Classification," in KDD 2025 : Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2, 2025, pp. 3764-3773.
[36]
C. Li, M. Xiao and M. Skoglund, "Communication-Efficient Semi-Decentralized Federated Learning in the Presence of Stragglers," IEEE Transactions on Communications, pp. 1-1, 2025.
[37]
V. N. Moothedath et al., "Delay Analysis of 5G HARQ in the Presence of Decoding and Feedback Latencies," (Manuscript).
[38]
J. Helleberg et al., "Beyond labels : determining the true type of blood gas samples in ICU patients through supervised machine learning," BMC Medical Informatics and Decision Making, vol. 25, no. 1, 2025.
[39]
O. Friman et al., "Accuracy of Glucose Trends by Subcutaneous Continuous Monitoring vs Intermittent Arterial Measurements in Critically Ill Patients," Journal of Diabetes Science and Technology, 2025.
[40]
C. Yang, S. Chatterjee and T. J. Oechtering, "Enhancing Network Calibration for Low-Cost Gas Sensor Networks Through Adaptive Similarity Search," in 2025 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2025, Hyderabad, India, April 6-11, 2025, 2025.
[41]
L. Liu et al., "Distributed Collaborative Computing for Task Completion Rate Maximization in Vehicular Edge Computing," IEEE Transactions on Intelligent Transportation Systems, 2025.
[42]
H. Qin et al., "BiGSM : Bayesian inference of gene regulatory network via sparse modelling," Bioinformatics, vol. 41, no. 6, 2025.
[43]
H. Ko, S. Seo and S. Pack, "Dynamic Split Computing Framework for Multi-Task Learning Models: A Deep Reinforcement Learning Approach," IEEE Access, 2025.
[44]
X. Li et al., "A Recursive Puncturing Method for PAC Codes Based on the Partial Order," IEEE Communications Letters, vol. 29, no. 5, pp. 978-982, 2025.
[45]
K. Ma et al., "A Multi-UAV Network Formation Scheme via Integrated Localization and Motion Planning," IEEE Transactions on Network Science and Engineering, vol. 12, no. 3, pp. 1552-1566, 2025.
[46]
Q. Li et al., "A Multi-Task Learning-Based Approach for Power System Short-Term Voltage Stability Assessment With Missing PMU Data," IEEE Transactions on Automation Science and Engineering, vol. 22, pp. 13187-13197, 2025.
[47]
Q. Li et al., "Enhancing Trustworthiness of Data-Driven Power System Dynamic Security Assessment via Hybrid Credibility Learning," IEEE Transactions on Power Systems, vol. 40, no. 3, pp. 2791-2794, 2025.
[48]
S. Dutta, D. Roy and G. Das, "Desynchronized Wake-Up Algorithm for Energy Efficient EPON-Based 5G Backhaul," Journal of Lightwave Technology, vol. 43, no. 10, pp. 4516-4529, 2025.
[49]
T. U. Islam et al., "Design and implementation of ARA wireless living lab for rural broadband and applications," Computer Networks, vol. 263, 2025.
[50]
S. Weng et al., "Coded Cooperative Networks for Semi-Decentralized Federated Learning," IEEE Wireless Communications Letters, vol. 14, no. 3, pp. 626-630, 2025.
Full list in the KTH publications portal