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Mikael Skoglund

Profile picture of Mikael Skoglund

Professor

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Malvinas Väg 10

Researcher


About me

Mikael Skoglund received the Ph.D. degree in 1997 from Chalmers University of Technology, Göteborg, Sweden.  He was appointed Docent in Signal Processing in February 2001 and Professor of Communication Theory in October 2003, both at KTH.
He joined the Dept. of Signals Sensors and Systems, KTH, in August 1997. Here he became Assistant Professor (forskarassistent) in March 1998 and Associate Professor (universitetslektor) in October 2001. He was then appointed to the Chair in Communication Theory in October 2003.
Skoglund heads the Division of Information Science and Engineering at KTH. He is furthermore PI for the Strategic Research Area ICT-TNG, and he is on the Executive Commitee for Digital Futures.

Research interests: Information theory, communications, signal processing, networks, security and privacy, decision and control, inference and learning, quantum information

During 2003-09 he was an associate editor forIEEE Trans. on Communications and in the period 2009-12 he was on the editorial board for IEEE Trans. on Information Theory. From 2021 he is once again an editor for IEEE Trans. on Information Theory. Skoglund was general co-chair for IEEE ITW 2019 (Visby, Gotland) and served as TPC co-chair for IEEE ISIT 2022 (Helsinki). He is a member of the ELLIS Society. Starting January 1st, 2023, he is an elected member of the IEEE Information Theory Society Board of Governors. Skoglund is a Fellow of the IEEE.

Full List of Publications

Recent Publications

  • L. Grosse, S. Saeidian, T. Oechtering and M. Skoglund, "Privacy mechanism design based on empirical distributions" in Proc. CSF 2026.
  • Y. Chen, H. Boche, T. Oechtering and M. Skoglund: "Integrated sensing and communication with distributed rate-limited helpers," inProc. BIID13 2025.
  • L. Grosse, S. Saeidian, T. Oechtering and M. Skoglund, "Bounds on the privacy amplification of arbitrary channels via the contraction offα-divergence, " inProc. Allerton 2025.
  • S. Daei, G. Fodor and M. Skoglund, "When near becomes far: From Rayleigh to optimal near-field and far-field boundaries," in Proc. Globecom 2025 (Signal Proc. for Comms. Symposium).
  • R. Bongole, A. Gouverneur, T. Oechering and M. Skoglund, "Information-theoretic minimax regret upper bounds for reinforcement learning problems," in Proc. IEEE ITW 2025.
  • A. Zamani, P. Sadeghi and M. Skoglund, "An information geometric approach to local information privacy with applications to max-lift and local differential privacy," in Proc. IEEE ITW 2025.
  • S. Rivetti, Ö. T. Demir, E. Björnson and M. Skoglund, "Millimeter-wave joint radar and communications with an RIS-integrated array," in Proc. IEEE PIMRC 2025.
  • A. Zamani, S. Daei, A. Changizi and M. Skoglund, "A unified framework for joint semantic and privacy design under bounded leakage," inProc. IEEE SPAWC 2025.
  • S. Rivetti, Ö. T. Demir, E. Björnson and M. Skoglund, "Clutter-aware target detection for ISAC in a millimeter-wave cell-free massive MIMO system," in Proc. IEEE SPAWC 2025.
  • S. Daei, G. Fodor and M. Skoglund, "One target, many views: Multi-user fusion for collaborative uplink ISAC," in Proc. IEEE WiOpt 2025.
  • V. Ramachandran, T. Oechtering and M. Skoglund, "Multi-terminal strong coordination over noisy channels with encoder cooperation," in Proc. IEEE ISIT 2025.
  • A. Gouverneur, T. Oechtering and M. Skoglund, "Refined PAC-Bayes bounds for offline bandits," in Proc. IEEE ISIT 2025.
  • M. Lenninger, A. Kumar, P. Herman and M. Skoglund, "Active NMDARs expand input rate sensitivity into high-conductance states," inProc. CNS*2025.
  • G. Chen, Z. Cheng, T. Oechtering and M. Skoglund, "Novel privacy-preserving Nash equilibrium computation with pointwise maximal leakage guarantees," in Proc. CCC2025.
  • A. Zamani, A. Changizi, R. Thobaben and M. Skoglund, "Information-theoretic fairness with a bounded statistical parity constraint," in Proc. IEEE WiOpt 2025.
  • S. Rivetti, Ö. T. Demir, E. Björnson and M. Skoglund, "Destructive and constructive RIS beamforming in an ISAC-multi-user MIMO network," in Proc. IEEE ICC 2025.
  • M. Shirvanimoghaddam, M. Xiao and M. Skoglund, "Low-complexity ordred statistic decoder for primitive rateless codes," in Proc. IEEE ICC 2025.
  • Y. Chen, H. Boche, T. Oechtering and M. Skoglund, "Integrated sensing and communication with distributed rate-limited helpers," in Proc. IEEE ICC 2025.
  • H. Basri Celebi and M. Skoglund, "Reinforcement learning based goodput maximization with quantized feedback in URLLC," in Proc. IARIA ICWMC 2025.
  • W. Shi, H. S. Ghadikolaei, G. Fodor, L. Eleftheriadis and M. Skoglund, "Battery-aware sleep scheduling: A reinforcement learning framework for sustainable RAN operations," IEEE Transactions on Green Communications and Networking. Submitted October 2025.
  • A. Zamani, P. Sadeghi and M. Skoglund, "A local information geometry approach to local information privacy and max-lift with application to local differential privacy, "IEEE Transactions on Information Theory. Submitted October 2025.
  • M. Lenninger, M. Skoglund, P. Herman and A. Kumar, "A unifying framework for the diversity of tuning shapes," Nature Neuroscience. Submitted October 2025.
  • R. Takbiri, S. Daei, M. Skoglund and G. Fodor, "Measuring less, recovering more: Distribution-aware weighted L1 analysis," Elsevier Signal Processing. Submitted October 2025.
  • A. Zamani, S. Daei and M. Skoglund, "Towards joint semantic and privacy mechanism design with a bounded leakage constraint,"IEEE Transactions on Information Forensics and Security. Submitted October 2025.
  • C. Li, M. Xiao and M. Skoglund, "Asynchronous distributed learning based on gradient coding," IEEE Transactions on Signal Processing. Submitted September 2025.
  • A. Zamani, A. Changizi and M. Skoglund, "On information theoretic fairness: From perfect to bounded demographic parity,"IEEE Transactions on Information Theory. Submitted August 2025.
  • Z. Cheng, G. Chen, T. Oechtering, M. Skoglund, "Privacy guarantee for Nash equilibrium computation of aggregative games based on pointwise maximal leakage" IEEE Transactions on Automatic Control. Submitted August 2025.
  • Y. Chen, H. Boche, T. Oechtering and M. Skoglund, "Integrated sensing and communication with distributed rate-limited helpers,"IEEE Transactions on Information Theory. Submitted August 2025.
  • M. Lindström, R. Thobaben and M. Skoglund, "On the importance of separation and labelling in prototypical learning," IEEE Transactions on Pattern Analysis and Machine Intelligence. Submitted August 2025.
  • S. Weng, C. Ren, Y. Zhao, M. Xiao and M. Skoglund, "Secure cooperative gradient coding: Optimality, reliability, and global privacy,"IEEE Journal of Selected Areas in Communications. Submitted July 2025.
  • A. Zamani and M. Skoglund, "Multi-task semantic communications with bounded privacy leakage constraint," IEEE Transactions on Information Theory. Submitted June 2025.
  • Z. Lyu, M. Xiao, J. Xu, M. Skoglund and M. Di Renzo, "The larger the merrier? Efficient large AI model inference in wireless edge networks,"IEEE Journal of Selected Areas in Communications. Submitted May 2025.
  • S. Ye et al., "Fluid antenna systems empowered integrated communication and over-the-air computation," IEEE Transactions on Wireless Communications. Submitted July 2025.
  • A. Zamani and M. Skoglund, "Cache-aided variable-length coding with perfect privacy," IEEE Journal of Selected Areas in Communications. Submitted May 2025.
  • C. Li, M. Xiao and M. Skoglund, "Biased compression in gradient coding for distributed learning," IEEE Transactions on Signal Processing. Submitted April 2025.
  • Q. Wang, G. Zhang, Y. Yang, C. Ren, W. Wu, X. Zhao, M. Skoglund and D. Sun, "An efficient GPU-based halpern accelerating algorithm for DC optimal power flow, " IEEE Transactions on Power Systems. Submitted March 2025.
  • A. Gouverneur, B. Rodríguez Gálvez, T. Oechtering and M. Skoglund, "Chained information-theoretic bounds and tight regret rate for linear bandit problems," IEEE Transactions on Information Theory. Submitted March 2025.
  • F. Namadchi, M. Shirvanimoghaddam, S. Johnson, M. Xiao and M. Skoglund, "A low-complexity parallel hybrid decoder for primitive rateless codes,"IEEE Transactions on Communications. Submitted March 2025.
  • V. Ramachandran, T. Oechtering and M. Skoglund, "Multi-terminal strong coordination subject to secrecy constraints,"IEEE Transactions on Information Theory. Revised May 2025. (Submitted November 2024.)
  • R. Takbiri, S. Daei, F. Haddadi and M. Skoglund, "Distribution-aware l1 analysis minimization," IEEE Transactions on Signal Processing. Submitted October 2024.
  • J. He, M. Xiao and M. Skoglund, "Fast-converging decentralized ADMM for consensus optimization in distributed systems,"IEEE Transactions on Parallel and Distributed Systems. Submitted April 2024.
  • S. Saeidian, L. Grosse, P. Sadeghi, M. Skoglund and T. Oechtering, "Information density bounds for privacy," IEEE Transactions on Information Theory. Submitted July 2024.
  • S. Weng, C. Ren, M. Xiao and M. Skoglund, "Cooperative gradient coding," IEEE Transactions on Communications. Accepted for publication.
  • A. Zamani and M. skoglund, "Extended functional representation lemma: A tool for privacy, semantic representation, caching, and compression design," IEEE BITS. Accepted for publication.
  • C. Li, M. Xiao and M. Skoglund, "Coded robust aggregation for distributed learning under Byzantine attacks," IEEE Transactions on Information Forensics & Security. Accepted for publication. (Submitted October 2024.)
  • C. Li, M. Xiao and M. Skoglund, "Communication-efficient semi-decentralized federated learning in the presence of stragglers," IEEE Transactions on Communications. Accepted for publication. (Submitted April 2024.)
  • C. Li, M. Xiao and M. Skoglund, "Adaptive coded federated learning: Privacy preservation and straggler mitigation," IEEE Transactions on Communications. Accepted for publication. (Submitted September 2024.)
  • D. Zhang, M. Xiao, C. Shi, M. Skoglund, Y. Li and H. V. Poor, "Beamforming design for active RIS-aided over-the-air computation," IEEE Transactions on Communications. Accepted for publication.
  • J. Fu, M. Xiao, C. Ren and M. Skoglund, "Computation-resource-efficient task-oriented communications," IEEE Transactions on Communications. Accepted for publication.
  • C. Ren, Z. Y. Dong, M. Skoglund, Y. Gao, T. Wang and R. Zhang "Enhancing dynamic security assessment in smart grids through quantum federated learning," IEEE Transactions on Automation Science and Engineering. Accepted for publication.
  • Y. Chen, T. Oechtering, H. Boche, M. Skoglund and Y. Luo, "Distribution-preserving integrated sensing and communication," IEEE Transactions on Information Theory, vol. 71, no. 10, pp. 7518-7539, October 2025.
  • S. Ul Zuhra, S. M. Perlaza, H. V. Poor and M. Skoglund, "Simultaneous information and energy transmission with short packets and finite constellations," IEEE Transactions on Communications, vol. 73, no. 9, pp 7505-7516, September 2025.
  • A. Zamani and M. Skoglund, "Variable-length coding with zero and non-zero privacy leakage," MDPI Entropy.
  • C. Ren, Y. Tang, M. Skoglund, Z. Y. Dong, H. Yu, Y. Gao and M. Xiao, "QFEVAL: Quantum federated ensembled variational adaptive learning for dynamic security assessment in cyber-physical systems," IEEE Journal of Selected Areas in Communications, vol. 43, no. 9, pp. 3200-3213, September 2025.
  • J. He, M. Xiao, M. Skoglund and H. V. Poor, "Straggler-resilient asynchronous ADMM for distributed consensus optimization," IEEE Transactions on Signal Processing, vol. 73, pp. 2496-2510, 2025.
  • J. He, M. Xiao and M. Skoglund, "Fast-converging decentralized alternating direction method of multipliers for consensus optimization," EURASIP Journal on Advances in Signal Processing, article 27 (2025), July 2025.
  • S. Daei, S. Razavikia, M. Skoglund, G. Fodor and C. Fischione, "Timely and painless breakups: Off-the-grid blind message recovery and users' demixing," IEEE Transactions on Information Theory, vol. 71, no. 7, pp. 5226-5257, July 2025.
  • S. Daei, G. Fodor, M. Skoglund and M. Telek, "Towards optimal pilot spacing and power control in multi-antenna systems operating over non-stationary Rician aging channels," IEEE Transactions on Communications, vol. 73, no. 6, pp. 3761-3777, June 2025.
  • 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, vol. 20, pp. 5774-5788, June 2025.
  • Y. Chen, T. Oechtering, M. Skoglund and Y. Luo, "On strong secrecy for multiple access channels with states and causal CSI," IEEE Transactions on Information Theory, vol. 71, no. 4, pp. 3070-3099, April 2025.
  • C. Ren et al., "Toward quantum federated learning," IEEE Transactions on Neural Networks and Learning Systems, vol. 36, no. 9, pp. 15580-15600, September 2025.
  • S. Saeidian, G. Cervia, T. Oechtering and M. Skoglund, "Rethinking disclosure prevention with pointwise maximal leakage," Journal of Privacy and Confidentiality, vol. 15, no. 1, March 2025.
  • S. Weng, M. Xiao, C. Ren and M. Skoglund, "Coded cooperative networks for semi-decentralized federated learning,"IEEE Wireless Communications Letters, vol. 14, no. 3, pp. 626-630, March 2025.
  • Y. Gao, C. Ren, H. Yu, M. Xiao and M. Skoglund, "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, March 2025.

Present Postdocs

  • Xu Guo, 2025-
    • Graduated from: NTU
    • Wallenberg-NTU presidential fellowship
  • Zhaoyang Cheng, 2024-
    • Graduated from: Academy of Mathematics and Systems Science, Beijing
  • Ren Chao, 2024-
    • Graduated from: NTU
    • Wallenberg-NTU presidential fellowship
  • Amir Zamani, 2023-
    • Graduated from: KTH
  • Chengxi Li, 2023-
    • Graduated from: Tsinghua
    • Co-supervised with: M. Xiao
  • Sajad Daei, 2022-
    • Graduated from: IUST, Iran
    • Co-supervised with: G. Fodor

Former Postdocs

  1. Mahyar Shirvanimoghaddam, 2023-25
    • Graduated from: University of Sydney
    • Co-supervised with: M. Xiao
    • Present affiliation: Univ. Sydney
  2. Viswanathan Ramachandran, 2023-25
    • Graduated from: IIT Bombay
    • Co-supervised with: T. Oechtering
    • Present affiliation: IIT Jodhpur
  3. Photios Stavrou, 2017-21
    • Graduated from: Univ. Cyprus
    • Present affiliation: Eurecom
  4. Giulia Cervia, 2019-20
    • Graduated from: ENSEA, France
    • Co-supervised with: T. Oechtering
    • Present affiliation: Université de Lille
  5. Germán Bassi, 2016-20
    • Graduated from: Supélec
    • Present affiliation: Ericsson Research, Stockholm
  6. Antonios Pitarokoilis, 2016-20
    • Graduated from: Linköping Univ.
    • Present affiliation: Ericsson Research, Stockholm
  7. Song Fang, 2017-19
    • Graduated from: Tokyo Inst. Techn.
    • Co-supervised with: K. H. Johansson
    • Present affiliation: New York University
  8. Ehsan Nekouei, 2017-19
    • Graduated from: Univ. Melbourne
    • Co-supervised with: K. H. Johansson
    • Present affiliation: City University of Hong Kong
  9. Qiwen Wang, 2016-19
    • Graduated from: Chinese University of Hong Kong
    • Present affiliation: Huawei Technologies, Stockholm
  10. Hadi Ghauch, 2017-18
    • (Former Ph.D. student)
    • Present affiliation: ENST, Paris
  11. Takashi Tanaka, 2015-17
    • Graduated from: UIUC
    • Present affiliation: Univ. Texas, Austin
    • Co-supervised with: K. H. Johansson, H. Sandberg
  12. Moritz Wiese, 2015-16
    • Graduated from: TU Munich
    • Present affiliation: TU Munich
    • Co-supervised with: K. H. Johansson, P. Papadimitratos, T. Oechtering
  13. Jinfeng Du, 2013-15
    • Graduated from: KTH
    • VR postdoc at MIT, hosted by Médard (MIT) and Skoglund
    • Present affiliation: Nokia/Lucent Bell-Labs, NJ
  14. Somayeh Salimi, 2011-14
    • Graduated from: Sharif, Teheran
    • Present affiliation: Cygate/Telia
  15. Majid Khormuji, 2011-13
    • (Former Ph.D. student)
    • Present affiliation: Huawei, Stockholm
  16. Mikko Vehkaperä, 2010-13
    • Graduated from: NTNU
    • Present affiliation: Univ. Sheffield
    • Co-supervised with: L. K. Rasmussen, E. Aurell
  17. Taejoon Kim, 2012
    • Graduated from: Purdue
    • Present affiliation: Univ. Kansas
  18. Chao Wang, 2009-12
    • Graduated from: Univ. Edinburgh
    • Present affiliation: Tongji University, Shanghai
  19. Saikat Chatterjee, 2009-12
    • Graduated from: IISc
    • Present affiliation: KTH
  20. Vishwambhar Rathi, 2009-10
    • Graduated from: EPFL
    • Present affiliation: NVIDIA, Bristol
    • Co-supervised with: L. K. Rasmussen, E. Aurell
  21. Lei Bao, 2009-10
    • (Former Ph.D. student)
    • Present affiliation: Ericsson Research, Gothenburg
    • Co-supervised with: K. H. Johansson
  22. Tobias Oechtering, 2008-10
    • Graduated from: TU Berlin
    • Present affiliation: KTH
  23. Ming Xiao, 2007-8
    • Graduated from: Chalmers
    • Present affiliation: KTH
  24. Ragnar Thobaben, 2007-8
    • Graduated from: TU Kiel
    • Present affiliation: KTH

Present Ph.D. Students

I am also co-advisor for the following students.

Former Ph.D. Students as Main Advisor

  1. Movitz Lenninger
  2. Borja Rodríguez Gálvez
  3. Amirreza Zamani
  4. Hamid Ghourchian
  5. Michail Mylonakis
  6. Hasan Basri Çelebi
  7. Sina Molavipour
  8. Hadi Ghauch
  9. Tan Tai Do
  10. Efthymios Stathakis
  11. Zhao Wang
  12. Sheng Huang
  13. Hamed Farhadi
  14. Frédéric Gabry
  15. Kittipong Kittichokechai
  16. Dennis Sundman
  17. Amirpasha Shirazinia
  18. Mattias Andersson
  19. Ali Abbas Zaidi
  20. Ricardo Blasco Serrano
  21. Hieu Do
  22. Nicolas Schrammar
  23. Zhongwei Si
  24. Jinfeng Du
  25. Majid Khormuji
  26. Johannes Kron (formerly Karlsson)
  27. Sha Yao
  28. Lei Bao
  29. Niklas Wernersson
  30. Tung Kim
  31. Tomas Andersson (formerly Sköllermo)
  32. Jochen Giese

Former Ph.D. Students as Co-Advisor

  1. Sara Saeidian (main advisor: Tobias Oechtering)
  2. Linghui Zhou (main advisor: Tobias Oechtering)
  3. Wanlu Lei (main advisor: Ming Xiao)
  4. Hao Chen (main advisor: Ming Xiao)
  5. Xinyue Liang (main advisor: Saikat Chatterjee)
  6. Alireza Mahdavi Javid (main advisor: Saikat Chatterjee)
  7. Shaocheng Huang (main advisor: Ming Xiao)
  8. Yu Ye (main advisor: Ming Xiao)
  9. Minh Tanh Vu (main advisor: Tobias Oechtering)
  10. Sebastian Schiessl (main advisor: James Gross)
  11. Phuong Le Cao (main advisor: Tobias Oechtering)
  12. Peter Larsson (main advisor: Lars K. Rasmussen)
  13. Majid Gerami (main advisor: Ming Xiao)
  14. Leefke Grosjean (main advisor: Lars K. Rasmussen)
    • Ph.D. degree received in May 2016
    • Thesis: Practical Anytime Codes
    • Present affiliation: Ericsson Research (Stockholm)
  15. Joakim Jaldén (main advisor: B. Ottersten)
  16. Henrik Lundin (main advisor: P. Händel)
  17. Tomas Andersson (main advisor: P. Händel)
  18. George Jöngren (main advisor: B. Ottersten)

Courses

Degree Project in Computer Science and Engineering, specializing in Industrial Management, Second Cycle (DA235X), examiner

Degree Project in Computer Science and Engineering, specializing in Machine Learning, Second Cycle (DA233X), examiner

Degree Project in Electrical Engineering, Second Cycle (EA250X), examiner

Degree Project in Electrical Engineering, Second Cycle (EA238X), examiner

Degree Project in Electrical Engineering, specializing in Communication Systems, Second Cycle (EA246X), examiner

Degree Project in Electrical Engineering, specializing in Information and Network Engineering, Second Cycle (EA260X), examiner

Information Theory (FEO3210), examiner

Information Theory and Channel Coding, Accelerated Program (EQ2840), teacher, course responsible, examiner

Probability and Random Processes (FEO3230), examiner

Research Seminars in Communication Theory I (FEO3360), examiner

Research Seminars in Communication Theory II (FEO3361), examiner

Theoretical Foundations of Wireless Communication (FEO3280), examiner

Theoretical Foundations of Wireless Communications (EQ2860), examiner