E-mail: krzysztof.walkowiak@pwr.edu.pl

Position: Dean of Doctoral School

Unit: Faculty of Information and Communication Technology (N) » Department of Systems and Computer Networks

ul. Z. Janiszewskiego 11/17, 50-372 Wrocław
building C-3, room 108
phone +48 71 320 3361

Research fields

• Network optimization; network survivability; optical networks (Elastic Optical Networks, Space Division Multiplexing); soft optimization methods; distributed computing systems (cloud computing, data centers, P2P).

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Recent papers

2018

• Klinkowski M., Lechowicz P., Walkowiak K., Survey of resource allocation schemes and algorithms in spectrally-spatially flexible optical networking, Optical Switching and Networking, Vol. 27, No. 1, pp. 58-78, 2018.

2016

• Klinkowski M., Walkowiak K., On Performance Gains of Flexible Regeneration and Modulation Conversion in Translucent Elastic Optical Networks with Super-channel Transmission, IEEE Journal of Lightwave Technology, Vol. 34, No. 23, 2016.

2015

• Tornatore M., Rottondi C., Goścień R., Walkowiak K., Rizzelli G. and Morea A., On the Complexity of Routing and Spectrum Assignment in Flexible-Grid Ring Networks, IEEE/OSA Journal of Optical Communications and Networking, Vol. 7, Issue 2, pp. A256-A267, 2015.
• Goścień R., Walkowiak K., Klinkowski M., Tabu Search Algorithm for Routing, Modulation and Spectrum Allocation in Elastic Optical Network with Anycast and Unicast Traffic, Computer Networks, Vol. 79, pp. 148-165, 2015.
• Przewoźniczek M., Goścień R., Walkowiak K., Klinkowski M., Towards solving practical problems of large solution space using a novel pattern searching hybrid evolutionary algorithm - An elastic optical network optimization case study, Expert Systems with Applications, Vol. 21, Issue 21, pp. 7781-7796, 2015.
• Goścień R., Walkowiak K., Klinkowski M., Rak J., Protection in Elastic Optical Networks, IEEE Network, Vol. 29, No. 6, pp. 88-96, 2015.

2013

• Klinkowski M., Walkowiak K., On Advantages of Elastic Optical Networks for Provisioning of Cloud Computing Traffic, IEEE Network, Vol. 27, No. 6, pp. 44-51, 2013.
• Chmaj G., Walkowiak K., A P2P computing system for overlay networks, Future Generation Computer Systems, Vol. 29, No. 1, pp. 242-249, 2013.

Papers in DONA database

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Selected publications
1	Article 2024 Dominik Dulas, Justyna Witulska, Data-driven model for long-term forecasting of 5G throughput and delay per network slice with the context of cell configuration = Model oparty na danych do długoterminowego prognozowania przepustowości i opóźnień plastrów sieci 5G z kontekstem konfiguracji komórki. Przegląd Telekomunikacyjny, Wiadomości Telekomunikacyjne. 2024, R. 2024, nr 4, s. 419-424. ISSN: 1230-3496; 2449-7487 Resources:DOI
2	Proceeding paper 2024 Aleksandra M Knapińska, Impact of time-varying traffic type on the performance of multilayer networks. W: Proceedings of the 2024 20th International Conference on Network and Service Management CNSM 2024 : AI-Powered Network and Service Management for Tomorrow's Digital World, October 28 - October 31, 2024, Prague, Czech Republic / eds. Pál Varga [i in.]. [Danvers, MA] : IEEE : IFIP, cop. 2024. s. 1-5. ISBN: 978-3-903176-66-9 Resources:DOIURL
3	Article 2024 Aleksandra M Knapińska, Traffic weaver: semi-synthetic time-varying traffic generator based on averaged time series. SoftwareX. 2024, vol. 28, art. 101946, s. 1-5. ISSN: 2352-7110 Resources:DOIURLSFX
4	Article 2024 Tobiasz Puślecki, A novel one-versus-all approach for multi-class classification in TinyML systems. IEEE Embedded Systems Letters. 2024, s. 1-4. ISSN: 1943-0663; 1943-0671 Resources:DOI
5	Article 2024 Joanna Komorniczak, Tobiasz Puślecki, Certainty-based neural network architecture selection framework for TinyML systems. IEEE Access. 2024, vol. 12, s. 155632-155643. ISSN: 2169-3536 Resources:DOISFX
6	Article 2024 Aleksandra M Knapińska, Zastosowanie metod uczenia maszynowego w sieciach teleinformatycznych = Application of machine learning methods in communication networks. Przegląd Telekomunikacyjny, Wiadomości Telekomunikacyjne. 2024, R. 2024, nr 4, s. 18-24. ISSN: 1230-3496; 2449-7487 Resources:DOI
7	Proceeding paper 2024 Tobiasz Puślecki, Experimental study of energy savings for TinyML-based multi-gas detection systems. W: Progress in polish artificial intelligence research 5 : proceedings of the 5th Polish Conference on Artificial Intelligence (PP-RAI’2024), 18-20.04.2024, Warsaw, Poland / eds. Jacek Mańdziuk, Adam Żychowski, Mikołaj Małkiński. Warszawa : Wydawnictwo Uniwersyetetu Warszawskiego, 2024. s. 528-533. ISBN: 978-83-8156-696-4; 978-83-8156-697-1 Resources:DOIURL
8	Proceeding paper 2024 Aleksandra M Knapińska, Salvatore Spadaro, Adaptive provisioning of time-varying traffic in translucent SDM elastic optical networks. W: ICTON 2024 : 24th International Conference on Transparent Optical Networks, July 14th-18th, 2024, Bari, Italy / eds. Francesco Prudenzano, Marian Marciniak. Danvers, MA : IEEE ; Warsaw : National Institute of Telecommunications, cop. 2024. s. 1-4. ISBN: 979-8-3503-7732-3; 979-8-3503-7733-0; 979-8-3503-7730-9 Resources:DOIURL
9	Proceeding paper 2024 Aleksandra M Knapińska, Impact of geographical constraints on the performance of intent-based networks. W: ICTON 2024 : 24th International Conference on Transparent Optical Networks, July 14th-18th, 2024, Bari, Italy / eds. Francesco Prudenzano, Marian Marciniak. Danvers, MA : IEEE ; Warsaw : National Institute of Telecommunications, cop. 2024. s. 1-4. ISBN: 979-8-3503-7732-3; 979-8-3503-7733-0; 979-8-3503-7730-9 Resources:DOIURL
10	Article 2024 Aleksandra M Knapińska, Machine learning assisted provisioning of time-varying traffic in translucent optical networks. IEEE Access. 2024, vol. 12, s. 110193-110212. ISSN: 2169-3536 Resources:DOIURLSFX

All publications