Latest publications
Recent publications by the Division of Information Science and Engineering.
[1]
Y. Zhang et al.,
"Industrial Composites Fiber Orientation Measurement Based on Fine-Grained Margin-Aware Cylindrical Deep Hough Network,"
IEEE Transactions on Industrial Informatics, 2025.
[2]
Z. Lyu et al.,
"Pinching-antenna Systems (PASS) Aided Over-the-air Computation,"
IEEE Communications Letters, pp. 1-1, 2025.
[3]
V. N. Moothedath et al.,
"Delay Analysis of 5G HARQ in the Presence of Decoding and Feedback Latencies,"
(Manuscript).
[4]
S. Yang et al.,
"Space-Time Block Coded Spatial and Polarization Modulation: System Design and Performance Analysis,"
IEEE Transactions on Communications, pp. 1-1, 2025.
[5]
D. Li et al.,
"FD-MVLLM: Fault diagnosis based on multimodal vibration data and large language model for bearing system,"
Mechanical systems and signal processing, vol. 239, 2025.
[6]
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.
[7]
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.
[8]
S. Mao et al.,
"RIS-enhanced Semantic-aware Sensing, Communication, Computation and Control for Internet of Things,"
IEEE Transactions on Wireless Communications, 2025.
[9]
T. Li et al.,
"Fusing model-based and data-driven prognostic methods for real-time model updating,"
Mechanical systems and signal processing, vol. 238, 2025.
[10]
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.
[11]
J. He et al.,
"Straggler-Resilient Asynchronous ADMM for Distributed Consensus Optimization,"
IEEE Transactions on Signal Processing, vol. 73, pp. 2496-2510, 2025.
[12]
L. Zhang et al.,
"How Large AI Model Empowers Time-Series Forecasting for the Operation and Maintenance of Industrial Automation System?,"
IEEE Transactions on Industrial Informatics, 2025.
[13]
C. Ren et al.,
"QFEVAL : Quantum Federated Ensembled Variational Adaptive Learning for Dynamic Security Assessment in Cyber-Physical Systems,"
IEEE Journal on Selected Areas in Communications, 2025.
[14]
L. Liu et al.,
"Distributed Collaborative Computing for Task Completion Rate Maximization in Vehicular Edge Computing,"
IEEE Transactions on Intelligent Transportation Systems, 2025.
[15]
T. Fan, C. Ren and Q. Yang,
"Ten Challenging Problems in Federated Foundation Models,"
IEEE Transactions on Knowledge and Data Engineering, vol. 37, no. 7, pp. 4314-4337, 2025.
[16]
H. Qin et al.,
"BiGSM : Bayesian inference of gene regulatory network via sparse modelling,"
Bioinformatics, vol. 41, no. 6, 2025.
[17]
Y. Gao et al.,
"Learner Referral for Cost-Effective Federated Learning over Hierarchical IoT Networks,"
IEEE Transactions on Cognitive Communications and Networking, vol. 11, no. 3, pp. 1830-1844, 2025.
[18]
A. P. Beherae et al.,
"Exploring the Boundaries of On-Device Inference : When Tiny Falls Short, Go Hierarchical,"
IEEE Internet of Things Journal, 2025.
[19]
H. Ko, S. Seo and S. Pack,
"Dynamic Split Computing Framework for Multi-Task Learning Models: A Deep Reinforcement Learning Approach,"
IEEE Access, 2025.
[20]
S. Mostafavi et al.,
"Predictability of Performance in Communication Networks Under Markovian Dynamics,"
IEEE Transactions on Vehicular Technology, 2025.
[21]
T. Ma et al.,
"Sensing-Resistance-Oriented Design for Privacy-Concerned Secure Transmission in ISAC Scenarios,"
IEEE Transactions on Wireless Communications, 2025.
[22]
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.
[23]
Y. Chen et al.,
"On Strong Secrecy for Multiple Access Channels With States and Causal CSI,"
IEEE Transactions on Information Theory, vol. 71, no. 4, pp. 3070-3099, 2025.
[24]
C. Ren et al.,
"Toward Quantum Federated Learning,"
IEEE Transactions on Neural Networks and Learning Systems, 2025.
[25]
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.
[26]
P. Zivuku et al.,
"Geographical Fairness in Multi-RIS-Assisted Networks in Smart Cities : A Robust Design,"
IEEE Transactions on Communications, pp. 1-1, 2025.
[27]
C. Li, M. Xiao and M. Skoglund,
"Sign-Based Distributed Learning with Byzantine Resilience based on Audit Mechanism,"
IEEE Transactions on Information Forensics and Security, 2025.
[28]
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.
[29]
M. Bandali et al.,
"ML-Based Fault Management Automation in Large-Scale Fixed and Mobile Telecommunication Networks,"
IEEE Transactions on Network and Service Management, vol. 22, no. 2, pp. 1775-1787, 2025.
[30]
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.
[31]
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.
[32]
N. Roy et al.,
"Quality of Control Based Resource Dimensioning for Collaborative Edge Robotics,"
in 2025 IEEE 22nd Consumer Communications and Networking Conference, CCNC 2025, 2025.
[33]
T. Li et al.,
"Online inverse solution for deep learning-based prognostics,"
in Structural Health Monitoring - The 10th Asia-Pacific Workshop on Structural Health Monitoring, 10APWSHM 2024, 2025, pp. 119-126.
[34]
F. Ma et al.,
"STEP : A structured prompt optimization method for SCADA system tag generation using LLMs,"
Journal of Industrial Information Integration, vol. 45, 2025.
[35]
A. Shivhare, A. P. Beherae and M. Kumar,
"Intensity Based Event Detection in Sensor Based IoT,"
IEEE Transactions on Network Science and Engineering, pp. 1-12, 2025.
[36]
S. S. Mostafavi,
"Predictability, Prediction, and Control of Latency in 5G and Beyond : From Theoretical to Data-Driven Approaches,"
Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:54, 2025.
[37]
M. Zhan et al.,
"Joint Error Detection and Correction for Safety Communication: Reducing the Alarm Rate of Transmitted Safety Messages,"
IEEE Industrial Electronics Magazine, vol. 19, no. 1, pp. 46-53, 2025.
[38]
L. Grosse,
"Mechanisms and Methods in the Pointwise Maximal Leakage Framework,"
Licentiate thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:60, 2025.
[39]
Y. Zhou et al.,
"Physical Layer Authentication for UAV Communications Under Rayleigh and Rician Channels,"
IEEE Transactions on Wireless Communications, vol. 24, no. 4, pp. 2722-2733, 2025.
[40]
H. Li et al.,
"Large Language Model Based Multi-Objective Optimization for Integrated Sensing and Communications in UAV Networks,"
IEEE Wireless Communications Letters, vol. 14, no. 4, pp. 979-983, 2025.
[41]
M. Lenninger,
"Stimulus representation in single neurons and neuronal populations : Role of tuning shapes on minimal decoding times, and input-output functions under in-vivo-like inputs,"
Doctoral thesis Stockholm : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:45, 2025.
[42]
S. Saeidian et al.,
"Rethinking disclosure prevention with pointwise maximal leakage,"
Journal of Privacy and Confidentiality, vol. 15, no. 1, 2025.
[43]
M. Lenninger and A. Kumar,
"How sub-optimal are the neural representations : show me your null model,"
Journal of Neurophysiology, vol. 133, no. 4, pp. 1083-1085, 2025.
[44]
T. U. Islam et al.,
"Design and implementation of ARA wireless living lab for rural broadband and applications,"
Computer Networks, vol. 263, 2025.
[45]
S. Weng et al.,
"Coded Cooperative Networks for Semi-Decentralized Federated Learning,"
IEEE Wireless Communications Letters, vol. 14, no. 3, pp. 626-630, 2025.
[46]
Y. Gao et al.,
"Fairness-Aware Multi-Server Federated Learning Task Delegation Over Wireless Networks,"
IEEE Transactions on Network Science and Engineering, vol. 12, no. 2, pp. 684-697, 2025.
[47]
P. Grau-Jurado et al.,
"Medications and cognitive decline in Alzheimer's disease: Cohort cluster analysis of 15,428 patients,"
Journal of Alzheimer's Disease, vol. 103, no. 3, pp. 931-940, 2025.
[48]
Z. Qin et al.,
"Optimizing Distribution and Feedback for Short LT Codes With Reinforcement Learning,"
IEEE Transactions on Communications, vol. 73, no. 2, pp. 1169-1185, 2025.
[49]
S. Imtiaz,
"Machine Learning Based Resource Allocation for Future Wireless Networks,"
Doctoral thesis Stockholm, Sweden : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2025:18, 2025.
[50]
Y. Xiao et al.,
"Guest Editorial : Integrated Ground-Air-Space Wireless Networks for 6G Mobile-Part II,"
IEEE Journal on Selected Areas in Communications, vol. 43, no. 1, pp. 1-4, 2025.