Email: krzysztof.walkowiak@pwr.edu.pl

Jednostka: Wydział Informatyki i Telekomunikacji » Katedra Systemów i Sieci Komputerowych

ul. Z. Janiszewskiego 11/17, Wrocław
bud. C-3, pok. 108                          
tel. 71 320 3361

Konsultacje: poniedziałek 15:00-17:00

Zainteresowania naukowe

- Application-aware networking
- Intent-based networking
- Zastosowanie metod ML w sieciach teleinfomatycznych
- Kognitwne sieci optyczne
- Optymalizacja sieci komputerowych
- Elastyczne sieci optyczne
- Sieci SDM
- Przeżywalne sieci komputerowe
- Systemy przetwarzania rozproszonego
- Sieci zorientowane na treść (multicasting, anycasting, P2P)
- Inteligentne techniki obliczeniowe (algorytmy genetyczne, tabu search, algorytmy mrówkowe)

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Najważniejsze publikacje z ostatnich lat

2023

• Knapińska A., Goścień R., Lechowicz P., Walkowiak K., Link load prediction in an optical network with restoration mechanisms, Journal of Optical Communications and Networking 15 (5), B42-B52, 2023.
• Mroziński D., Klinkowski M., Walkowiak K., Cost-Aware DU Placement and Flow Routing in 5G Packet xHaul Networks, IEEE Access 11, 12710-12726, 2023.

2022

• Wojciechowski S., Goścień R., Ksieniewicz P., Walkowiak K., Hybrid Regression Model for Link Dimensioning in Spectrally-Spatially Flexible Optical Networks, IEEE Access, Vol. 10, pp. 53810 – 53821, 2022.
• Knapińska A., Lechowicz P., Węgier W., Walkowiak K., Long-term prediction of multiple types of time-varying network traffic using chunk-based ensemble learning, Applied Soft Computing, Vol. 130, 2022.
• Komarnicki M., Przewoźniczek M., Kwaśnicka H., Walkowiak K., Incremental Recursive Ranking Grouping for Large Scale Global Optimization, IEEE Transactions on Evolutionary Computation, 2022.

2021

• Barbosa F., De Sousa A., Agra A., Walkowiak K., Goścień R., RMSA algorithms resilient to multiple node failures in dynamic EONs, Optical Switching and Networking, Vol. 42, 2021.
• Szostak D. Włodarczyk A., Walkowiak K. Machine learning classification and regression approaches for optical network traffic prediction, Electronics, Vol. 10, No. 13, 2021.

2020

• Klinkowski M., Ksieniewicz P., Jaworski M., Zalewski G., Walkowiak K., Machine Learning Assisted Optimization of Dynamic Crosstalk-Aware Spectrally-Spatially Flexible Optical Networks, IEEE Journal of Lightwave Technology, Vol. 38, No. 7, 2020, s. 1625-1635.
• Lechowicz P., Tornatore M., Włodarczyk A., Walkowiak K., Fragmentation Metrics and Fragmentation-Aware Algorithm for Spectrally/Spatially-Flexible Optical Networks, Journal of Optical Communications and Networking, Vol. 12 , No. 5, 2020, s. 133-145.
• Walkowiak K., Klinkowski M., Włodarczyk A., Kasprzak A., Predeployment of Transponders for Dynamic Lightpath Provisioning in Translucent Spectrally–Spatially Flexible Optical Networks, Applied Sciences, Vol. 10, No. 8, 2020.
• Przewoźniczek M., Walkowiak K., Sen A., Lechowicz P., Komarnicki M., Splitting the fitness and penalty factor for temporal diversity increase in practical problem solving, Expert Systems with Applications, Vol. 145, 2020.
• Kmiecik W., Walkowiak K., A performance study of dynamic routing algorithm for SDM translucent optical networks with assistive storage, Optical Switching and Networking, Vol. 38, 2020.
• Aibin M., Walkowiak K., Monte Carlo Tree Search with Last‑Good‑Reply Policy for Cognitive Optimization of Cloud‑Ready Optical Networks, Journal of Network and Systems Management, Vol. 28, s.1722–1744, 2020.

2019

• Klinowski M., Walkowiak K., An Efficient Optimization Framework for Solving RSSA Problems in Spectrally and Spatially Flexible Optical Networks, IEEE/ACM Transactions on Networking, Vol. 27, No. 4, 2019, pp. 1474-1486.
• Przewoźniczek M., Walkowiak K., Sen A., Lechowicz P., Komarnicki M., The transformation of the k-Shortest Steiner trees search problem into binary dynamic problem for effective evolutionary methods application, Information Sciences, Vol. 479, 2019, pp. 1-19

 2018

• Walkowiak K., Lechowicz P., Klinkowski M., Dynamic Routing in Spectrally-Spatially Flexible Optical Networks with Back-to-Back Regeneration, IEEE/OSA Journal of Optical Communications and Networking, Vol. 10, No. 5, 2018, pp. 523-534
• 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.

Publikacje w bazie DONA

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Wybrane publikacje
1	Referat konferencyjny 2024 Aleksandra M Knapińska, Piotr Lechowicz, Krzysztof Walkowiak, 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 Zasoby:DOIURL
2	Artykuł 2024 Piotr Lechowicz, Aleksandra M Knapińska, Adam Włodarczyk, Krzysztof Walkowiak, 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 Zasoby:DOIURLSFX
3	Artykuł 2024 Tobiasz Puślecki, Krzysztof Walkowiak, 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 Zasoby:DOI
4	Artykuł 2024 Joanna Komorniczak, Tobiasz Puślecki, Paweł Ksieniewicz, Krzysztof Walkowiak, Certainty-based neural network architecture selection framework for TinyML systems. IEEE Access. 2024, vol. 12, s. 155632-155643. ISSN: 2169-3536 Zasoby:DOISFX
5	Artykuł 2024 Krzysztof Walkowiak, Aleksandra M Knapińska, Piotr Lechowicz, 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 Zasoby:DOI
6	Referat konferencyjny 2024 Tobiasz Puślecki, Krzysztof Walkowiak, 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 Zasoby:DOIURL
7	Referat konferencyjny 2024 Adam Włodarczyk, Aleksandra M Knapińska, Piotr Lechowicz, Salvatore Spadaro, Krzysztof Walkowiak, 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 Zasoby:DOIURL
8	Referat konferencyjny 2024 Aleksandra M Knapińska, Piotr Lechowicz, Krzysztof Walkowiak, 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 Zasoby:DOIURL
9	Artykuł 2024 Adam Włodarczyk, Aleksandra M Knapińska, Piotr Lechowicz, Krzysztof Walkowiak, Machine learning assisted provisioning of time-varying traffic in translucent optical networks. IEEE Access. 2024, vol. 12, s. 110193-110212. ISSN: 2169-3536 Zasoby:DOIURLSFX
10	Artykuł 2024 Shrinivas Petale, Aleksandra M Knapińska, Egemen Erbayat, Piotr Lechowicz, Krzysztof Walkowiak, Shih-Chun Lin, Motoharu Matsuura, Hiroshi Hasegawa, Suresh Subramaniam, PRODIGY+: a robust progressive upgrade approach for elastic optical networks. Journal of Optical Communications and Networking. 2024, vol. 16, nr 9, s. E48-E60. ISSN: 1943-0620; 1943-0639 Zasoby:DOIURLSFX

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