Mikael Skoglund, Professor
| Dr. 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.
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During 2003-09 he was an associate editor for IEEE Trans. on Communications and in the period 2009-12 he was on the editorial board for IEEE Trans. on Information Theory. Starting 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). 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. |
| Address: Information Science and Engineering School of Electrical Engineering and Computer Science KTH Royal Institute of Technology 100 44 Stockholm, Sweden |
Office: KTH Main Campus Malvinas väg 10, Room A:415 |
| Email: skoglund@kth.se | Phone: +46 8 790 8430 |
| Personal web-page: people.kth.se/~skoglund | |
| KTH profile page: www.kth.se/profile/skoglund |
Recent Publications
- Y. Chen, T. Oechtering, M. Skoglund and Y. Luo, "On strong secrecy for multiple access channel with states and causal CSI," in Proc. IEEE ISIT 2023.
- S. Saeidian, G. Cervia, T. Oechtering and M. Skoglund, "Pointwise maximal leakage on general alphabets," in Proc. IEEE ISIT 2023.
- H. Ghourchian, T. Oechtering and M. Skoglund, "Secure block joint source-channel coding with sequential encoding," in Proc. IEEE ISIT 2023.
- A. Gouverneur, B. Rodríguez Gálvez, T. Oechtering and M. Skoglund, "Thompson sampling regret bounds for contextual bandits with sub-Gaussian rewards," in Proc. IEEE ISIT 2023.
- A. Zamani, T. Oechtering and M. Skoglund, "Multi-user privacy mechanism design with non-zero leakage," in Proc. IEEE ITW 2023.
- M. Haghifam, B. Rodríguez Gálvez, R. Thobaben, M. Skoglund, D. M. Roy, G. K. Dziugaite, "Limitations of information-theoretic generalization bounds for gradient descent methods in stochastic convex optimization," in Proc. ALT 2023.
- S. Ul Zuhra, S. M. Perlaza, H. V. Poor and M. Skoglund,"Information-energy trade-offs with EH non-linearities in the finite block-length regime with finite constellations," in Proc. IEEE ITW 2022.
- A. Zamani, T. Oechtering and M. Skoglund, "Bounds for privacy-utility trade-off with per-letter privacy constraints and non-zero leakage," in Proc. IEEE ITW 2022.
- L. Zhou, T. Oechtering and M. Skoglund, "Uncertainty in biometric identification and authentication systems with strong secrecy," in Proc. Allerton 2022.
- A. Gouverneur, B. Rodríguez Gálvez, T. Oechtering and M. Skoglund, "An information-theoretic analysis of Bayesian reinforcement learning," in Proc. Allerton 2022.
- D. Zhang, M. Xiao and M. Skoglund, "Beam tracking for dynamic mmwave channels: A new training beam sequence design approach," in Proc. IEEE RAWNET 2022.
- S. Saeidian, G. Cervia, T. Oechtering and M. Skoglund, "Pointwise maximal leakage," in Proc. IEEE ISIT 2022.
- A. Zamani, T. Oechtering and M. Skoglund, "Bounds for privacy-utility trade-off with non-zero leakage," in Proc. IEEE ISIT 2022.
- P. Stavrou, S. Saritas and M. Skoglund, "Privacy signaling games with binary alphabets, " in Proc. ECC 2022. (Invited paper.)
- M. Lenninger, M. Skoglund, P. Herman and A. Kumar, "Are single-peaked tuning curves tuned for speed rather than accuracy?", eLife. Accepted for publication.
- W. Lei, C. Lu, Y. Huang, J. Rao, M. Xiao and M. Skoglund, "Adaptive beam sweeping with supervised learning," IEEE Wireless Communications Letters. Accepted for publication. (Submitted August 2022.)
- S. Ul Zuhra, S. M. Perlaza, H. V. Poor and M. Skoglund, "On the trade-offs between information and energy transmission in the finite block-length regime with finite channel inputs," IEEE Transactions on Information Theory. Submitted May 2023.
- J. He, M. Xiao and M. Skoglund, "Privacy-preserving fast-converging decentralized alternating direction method of multipliers for consensus optimization," IEEE Transactions on Signal Processing. Submitted May 2023.
- A. Zamani, T. Oechtering and M. Skoglund, "On the privacy-utility trade-off with and without direct access to the private data," IEEE Transactions on Information Theory. Submitted December 2022.
- S. Saeidian, G. Cervia, T. Oechtering and M. Skoglund, "Pointwise maximal leakage," IEEE Transactions on Information Theory. Submitted May 2022.
- T. Tanaka, V. Zinage, V. Ugrinovskii and M. Skoglund, "Continuous-time channel gain control for minimum-information Kalman-Bucy filtering," IEEE Transactions on Automatic Control. Submitted February 2022.
- H. Chen, Y. Ye, M. Xiao and M. Skoglund, "Asynchronous parallel incremental block-coordinate descent for decentralized machine learning," IEEE Transactions on Big Data. Accepted for publication. (Submitted January 2022.)
- E. Nekouei, H. Sandberg, M. Skoglund, K. H. Johansson, "A model randomization approach to statistical parameter privacy," IEEE Transactions on Automatic Control, vol. 68, no. 2, pp. 839-850, February 2023.
- W. Lei, Y. Ye, M. Xiao, M. Skoglund and Z. Han, "Adaptive stochastic ADMM for decentralized reinforcement learning in edge IoT," IEEE Internet of Things Journal, vol. 9, no. 22, pp. 22958-22971, November 2022.
- H. Chen, S. Huang, D. Zhang, M. Xiao, M. Skoglund and H. V. Poor, "Federated learning over wireless IoT networks with optimized communication and resources," IEEE Internet of Things Journal, vol. 9, no. 17, pp. 16592-16605, September 2022.
- M. Xiao and M. Skoglund, "Coding for large-scale distributed machine learning," MDPI Entropy, vol. 24, September 2022.
- H. Basri Celebi and M. Skoglund, "Goodput maximization with quantized feedback in the finite blocklength regime for quasi-static channels," IEEE Transactions on Communications, vol. 70, no. 8, pp. 5071-5084, August 2022.
- P. Stavrou, M. Skoglund and T. Tanaka, "Sequential source coding for stochastic systems subject to finite rate constraints," IEEE Transactions on Automatic Control, vol. 67, no. 8, pp. 3822-3835, August 2022.
Present Postdocs
Former Postdocs
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Present Ph.D. Students
Former Ph.D. Students as Main Advisor
Former Ph.D. Students as Co-Advisor
Teaching
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