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Latest publications

Recent publications by the Division of Information Science and Engineering.

[1]
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.
[2]
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.
[3]
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.
[4]
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.
[5]
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.
[6]
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.
[7]
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.
[8]
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.
[9]
S. Saeidian et al., "Rethinking disclosure prevention with pointwise maximal leakage," Journal of Privacy and Confidentiality, vol. 15, no. 1, 2025.
[10]
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.
[11]
T. U. Islam et al., "Design and implementation of ARA wireless living lab for rural broadband and applications," Computer Networks, vol. 263, 2025.
[12]
S. Weng et al., "Coded Cooperative Networks for Semi-Decentralized Federated Learning," IEEE Wireless Communications Letters, vol. 14, no. 3, pp. 626-630, 2025.
[13]
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.
[14]
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.
[15]
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.
[16]
A. Zamani and M. Skoglund, "Variable-Length Coding with Zero and Non-Zero Privacy Leakage," Entropy, vol. 27, no. 2, 2025.
[17]
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.
[18]
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.
[19]
H. Y. Chu, H. Zhao and M. Flierl, "Adversarial Training with Maximal Coding Rate Reduction," in Conference Record of the 58th Asilomar Conference on Signals, Systems and Computers, ACSSC 2024, 2024, pp. 1866-1870.
[20]
S. Hussein et al., "Communication-Efficient Distributed Computing via Matrix Factorization," in Conference Record of the 58th Asilomar Conference on Signals, Systems and Computers, ACSSC 2024, 2024, pp. 1453-1460.
[21]
A. Honore et al., "Deep recurrent architectures for neonatal sepsis detection from vital signs data," in Machine Learning Applications in Medicine and Biology, : Springer Nature, 2024, pp. 115-149.
[22]
S. Weng et al., "Cooperative Gradient Coding for Semi-Decentralized Federated Learning," in GLOBECOM 2024 - 2024 IEEE Global Communications Conference, 2024, pp. 199-204.
[23]
M. Lindström et al., "A Coding-Theoretic Analysis of Hyperspherical Prototypical Learning Geometry," in Proceedings of the Geometry-Grounded Representation Learning and Generative Modeling Workshop, GRaM 2024 at ICML 2024, 2024, pp. 78-91.
[24]
C. Li, M. Xiao and M. Skoglund, "A Communication-Efficient Semi-Decentralized Approach for Federated Learning with Stragglers," in 2024 IEEE Information Theory Workshop, ITW 2024, 2024, pp. 229-234.
[25]
M. Zhao, M. L. Treust and T. J. Oechtering, "Causal Vector-Valued Witsenhausen Counterexamples with Feedback," in 2024 IEEE Information Theory Workshop, ITW 2024, 2024, pp. 687-692.
[26]
Y. Liu, Z. Pang and Y. Ding, "CFA-OpenRAN : An Integrated Communication, Computing, and Control Architecture for Wireless Cloud Fog Automation Based on O-RAN," in Proceedings - 2024 IEEE 22nd International Conference on Industrial Informatics, INDIN 2024, 2024.
[27]
Y. Wang et al., "Design of Dynamic Offset Spatial Modulation MIMO for Low-Cost Consumer Electronics Devices," IEEE transactions on consumer electronics, vol. 70, no. 4, pp. 7526-7534, 2024.
[28]
X. Liang et al., "DeePMOS-B : Deep Posterior Mean-Opinion-Score using Beta Distribution," in 32ND EUROPEAN SIGNAL PROCESSING CONFERENCE, EUSIPCO 2024, 2024, pp. 416-420.
[29]
M. Lindström et al., "A Coding-Theoretic Analysis of Hyperspherical Prototypical Learning Geometry," in Proceedings of the Geometry-grounded Representation Learning and Generative Modeling Workshop (GRaM), 2024, pp. 78-91.
[30]
H. Mao et al., "Characterization of thermal elastic moduli of anisotropic lattice metamaterials: designing dual-functional metamaterials with low thermal expansion and vibration mitigation capabilities," in Proceedings of ISMA 2024 - International Conference on Noise and Vibration Engineering and USD 2024 - International Conference on Uncertainty in Structural Dynamics, 2024, pp. 1510-1517.
[31]
D. Shi et al., "Beam Structured Channel Estimation for HF Skywave Massive MIMO-OFDM Communications," IEEE Transactions on Wireless Communications, vol. 23, no. 11, pp. 16301-16315, 2024.
[32]
M. Laha et al., "AI-Assisted Improved Service Provisioning for Low-Latency XR over 5G NR," IEEE Networking Letters, vol. 6, no. 1, pp. 31-35, 2024.
[33]
I. Rabet et al., "A Stochastic Network Calculus Model for TSCH Schedulers," in 2024 IEEE Symposium on Computers and Communications, ISCC 2024, 2024.
[34]
X. Liang et al., "DeePMOS-B: Deep Posterior Mean-Opinion-Score using Beta Distribution," in 32nd European Signal Processing Conference, EUSIPCO 2024 - Proceedings, 2024, pp. 416-420.
[35]
C. Li and M. Skoglund, "Decentralized Learning Based on Gradient Coding With Compressed Communication," IEEE Transactions on Signal Processing, vol. 72, pp. 4713-4729, 2024.
[36]
T. Tanaka et al., "Continuous-Time Channel Gain Control for Minimum-Information Kalman-Bucy Filtering," IEEE Transactions on Automatic Control, vol. 69, no. 10, pp. 7255-7262, 2024.
[37]
H. Zhang et al., "Amplitude Phase Shift Keying-Aided Space-Time Block Coded Differential Spatial Modulation," in ICC 2024 - IEEE International Conference on Communications, 2024, pp. 3888-3893.
[38]
M. Zhao, M. L. Treust and T. J. Oechtering, "Coordination Coding with Causal Encoder for Vector-Valued Witsenhausen Counterexample," in 2024 IEEE International Symposium on Information Theory, ISIT 2024 - Proceedings, 2024, pp. 3255-3260.
[39]
B. Rodríguez Gálvez et al., "A Note on Generalization Bounds for Losses with Finite Moments," in 2024 IEEE International Symposium on Information Theory, ISIT 2024 - Proceedings, 2024, pp. 2676-2681.
[40]
A. Kullberg et al., "Adaptive Basis Function Selection for Computationally Efficient Predictions," IEEE Signal Processing Letters, vol. 31, pp. 2130-2134, 2024.
[41]
A. Kanellopoulos et al., "A Moving Target Defense Mechanism Based on Spatial Unpredictability for Wireless Communication," in 2024 European Control Conference, ECC 2024, 2024, pp. 2206-2211.
[42]
A. Kanellopoulos et al., Control and Game Theoretic Methods for Cyber-Physical Security. Elsevier BV, 2024.
[43]
Y. Khorsandmanesh et al., "Beam Coherence Time Analysis for Mobile Wideband mmWave Point-to-Point MIMO Channels," IEEE Wireless Communications Letters, vol. 13, no. 6, pp. 1546-1550, 2024.
[44]
Z. Chen et al., "Cross-Device Radio Frequency Fingerprinting Identification Based on Domain Adaptation," IEEE transactions on consumer electronics, vol. 70, no. 1, pp. 2391-2400, 2024.
[45]
K. V. Mishra et al., "A Signal Processing Outlook Toward Joint Radar-Communications," in Signal Processing for Joint Radar Communications, : Wiley, 2024, pp. 3-36.
[46]
A. Ghosh, A. Honore and S. Chatterjee, "DANSE : Data-Driven Non-Linear State Estimation of Model-Free Process in Unsupervised Learning Setup," IEEE Transactions on Signal Processing, vol. 72, pp. 1824-1838, 2024.
[47]
X. Xu, "Algorithms and Models in Nanopore DNA Sequencing : Advanced Decoding and Modeling with Hierarchical Hidden Markov Models," Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:40, 2024.
[48]
B. Rodríguez Gálvez, "An Information-Theoretic Approach to Generalization Theory," Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:31, 2024.
[49]
R. R. Avula, T. J. Oechtering and D. Månsson, "Adversarial Inference Control in Cyber-Physical Systems : A Bayesian Approach With Application to Smart Meters," IEEE Access, vol. 12, pp. 24933-24948, 2024.
[50]
A. Ghosh et al., "DeepBayes—An estimator for parameter estimation in stochastic nonlinear dynamical models," Automatica, vol. 159, 2024.
Full list in the KTH publications portal