Latest publications
Recent publications by the Division of Information Science and Engineering.
[1]
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.
[2]
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.
[3]
A. Zamani and M. Skoglund,
"Variable-Length Coding with Zero and Non-Zero Privacy Leakage,"
Entropy, vol. 27, no. 2, 2025.
[4]
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.
[5]
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.
[6]
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.
[7]
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.
[8]
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.
[9]
C. Ren et al.,
"ESQFL : Digital Twin-Driven Explainable and Secured Quantum Federated Learning for Voltage Stability Assessment in Smart Grids,"
IEEE Journal on Selected Topics in Signal Processing, vol. 18, no. 5, pp. 964-978, 2024.
[10]
K. V. Mishra et al.,
"Editorial Introduction to the Special Issue on Learning-Based Signal Processing for Integrated Sensing and Communications,"
IEEE Journal on Selected Topics in Signal Processing, vol. 18, no. 5, pp. 731-736, 2024.
[11]
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.
[12]
C. Pan, G. Bohlin and T. J. Oechtering,
"Environmental Variation or Instrumental Drift? A Probabilistic Approach to Gas Sensor Drift Modeling and Evaluation,"
in 2024 IEEE Sensors, SENSORS 2024 - Conference Proceedings, 2024.
[13]
F. Cumlin et al.,
"DNSMOS Pro : A Reduced-Size DNN for Probabilistic MOS of Speech,"
in Interspeech 2024, 2024, pp. 4818-4822.
[14]
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.
[15]
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.
[16]
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.
[17]
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.
[18]
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.
[19]
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.
[20]
I. Rabet et al.,
"A Stochastic Network Calculus Model for TSCH Schedulers,"
in 2024 IEEE Symposium on Computers and Communications, ISCC 2024, 2024.
[21]
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.
[22]
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.
[23]
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.
[24]
C. Li and M. Skoglund,
"Distributed Learning Based on 1-Bit Gradient Coding in the Presence of Stragglers,"
IEEE Transactions on Communications, vol. 72, no. 8, pp. 4903-4916, 2024.
[25]
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.
[26]
Y. Zhao et al.,
"Energy Efficiency Maximization for Multi-Node IoT Networks Operating with Finite Blocklength Codes,"
in 2024 19th International Symposium on Wireless Communication Systems, ISWCS 2024, 2024.
[27]
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.
[28]
D. Zhang et al.,
"Federated Learning via Active RIS Assisted Over-the-Air Computation,"
in 2024 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2024, 2024, pp. 201-207.
[29]
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.
[30]
A. Kullberg et al.,
"Adaptive Basis Function Selection for Computationally Efficient Predictions,"
IEEE Signal Processing Letters, vol. 31, pp. 2130-2134, 2024.
[31]
J. He, M. Xiao and M. Skoglund,
"Fast-Converging Decentralized ADMM for Consensus Optimization,"
in Proceedings - 2024 IEEE Conference on Artificial Intelligence, CAI 2024, 2024, pp. 575-580.
[32]
S. Saeidian, T. J. Oechtering and M. Skoglund,
"Evaluating Differential Privacy on Correlated Datasets Using Pointwise Maximal Leakage,"
in Privacy Technologies and Policy - 12th Annual Privacy Forum, APF 2024, Proceedings, 2024, pp. 73-86.
[33]
S. S. Mostafavi et al.,
"EDAF: An End-to-End Delay Analytics Framework for 5G-and-Beyond Networks,"
in 11th International Workshop on Computer and Networking Experimental Research using Testbeds (CNERT 2024), 2024.
[34]
Y. You et al.,
"Fast Incremental ADMM for Decentralized Consensus Multi-Agent Optimization,"
in 2024 IEEE 18th International Conference on Control and Automation, ICCA 2024, 2024, pp. 473-477.
[35]
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.
[36]
A. Kanellopoulos et al.,
Control and Game Theoretic Methods for Cyber-Physical Security.
Elsevier BV, 2024.
[37]
D. Hu et al.,
"Embodied AI Through Cloud-Fog Computing: A Framework for Everywhere Intelligence,"
in 2024 33rd International Symposium on Industrial Electronics, ISIE 2024 - Proceedings, 2024.
[38]
G. P. Sharma et al.,
"End-to-End No-wait Scheduling for Time-Triggered Streams in Mixed Wired-Wireless Networks,"
Journal of Network and Systems Management, vol. 32, no. 3, 2024.
[39]
M. Wu et al.,
"Digital Twin for UAV-RIS Assisted Vehicular Communication Systems,"
IEEE Transactions on Wireless Communications, vol. 23, no. 7, pp. 7638-7651, 2024.
[40]
S. N. Raja et al.,
"Electromigrated Gold Nanogap Tunnel Junction Arrays: Fabrication and Electrical Behavior in Liquid and Gaseous Media,"
ACS Applied Materials and Interfaces, vol. 16, no. 28, pp. 37131-37146, 2024.
[41]
D. Zhang et al.,
"Fluid Antenna Array Enhanced Over-the-Air Computation,"
IEEE Wireless Communications Letters, vol. 13, no. 6, pp. 1541-1545, 2024.
[42]
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.
[43]
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.
[44]
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.
[45]
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.
[46]
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.
[47]
B. Rodríguez Gálvez,
"An Information-Theoretic Approach to Generalization Theory,"
Doctoral thesis : KTH Royal Institute of Technology, TRITA-EECS-AVL, 2024:31, 2024.
[48]
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.
[49]
V. N. Moothedath, J. P. Champati and J. Gross,
"Getting the Best Out of Both Worlds: Algorithms for Hierarchical Inference at the Edge,"
IEEE Transactions on Machine Learning in Communications and Networking, vol. 2, pp. 280-297, 2024.
[50]
A. Ghosh et al.,
"DeepBayes—An estimator for parameter estimation in stochastic nonlinear dynamical models,"
Automatica, vol. 159, 2024.