ПУЛКОВСЬКИЙ Здіслав

Доктор економічних наук, доцент

Місце роботи: Університет WSG (м. Бигдощ, Польща), професор.

Навички та компетенції:

• штучний інтелект та машинне навчання;
• Інтернет речей (IoT) та інтелектуальні системи;
• кібербезпека та аудит інформаційної безпеки;
• блокчейн-технології та захищені цифрові архітектури.

Посилання:
ORCID: https://orcid.org/0000-0002-0223-3057
Scopus: https://www.scopus.com/authid/detail.uri?authorId=55928926600
Web of Science: https://www.webofscience.com/wos/author/record/ABG-1682-2020
ResearchGate: https://www.researchgate.net/profile/Zdzislaw-Polkowski

Окремі наукові публікації:

1. Gupta R., Kakkar R., Chaudhary S., Tanwar S., Polkowski Z., Alqahtani F., Tolba A. Blockchain-enabled electric vehicles scheduling and coordination scheme at charging station. Sustainable Energy, Grids and Networks. 2025. Vol. 41. Article 101596. DOI: https://doi.org/10.1016/j.segan.2024.101596
2. Polkowski Z., Papenfus N. The method of cybersecurity audit in public administration and business. Proceedings of the 2025 17th International Conference on Electronics, Computers and Artificial Intelligence (ECAI 2025). 2025. DOI: https://doi.org/10.1109/ ECAI65401.2025.11095476
3. Mishra J. P., Polkowski Z., Mishra S. K. Accessibility of data linked to large scaled heterogeneous databases using generalized approach: a soft computing-based approach. Applied Soft Computing Techniques: Theoretical Principles and Practical Applications. New Jersey: Apple Academic Press, 2025. P. 265-275. URL: https://www.scopus.com/pages/publications/ 105004965318?origin=resultslist
4. Singh K., Yadav M., Singh Y., Muthmainnah, Polkowski Z. Using AI for IoT device anomaly detection in edge-resident intrusion detection systems (IDoS). Cutting-Edge Solutions for Advancing Sustainable Development: Exploring Technological Horizons for Sustainability. Part 1. Sharjah, U.A.E.: Bentham Science Publishers, 2025. P. 149-175. DOI: https://doi.org/10.2174/9789815305548125010010
5. Patel M., Gohil K., Gohil A., Ramoliya F., Gupta R., Tanwar S., Polkowski Z., Alqahtani F., Tolba A. Explainable AI for gastrointestinal disease diagnosis in telesurgery Healthcare 4.0. Computers and Electrical Engineering. 2024. Vol. 118. Article 109414. DOI: https://doi.org/10.1016/j.compeleceng.2024.109414
6. Palanisamy S., Obaid A. J., Thiyagarajan P., Thangavelsamy N., Cardoso L. M., Polkowski Z. Miniaturized stepped-impedance resonator band pass filter using folded SIR for suppression of harmonics. Mathematical Modelling of Engineering Problems. 2024. Vol. 11. No. 8. P. 1997–2004. DOI: https://doi.org/10.18280/mmep.110801
7. Kumari A., Kakkar R., Tanwar S., Garg D., Polkowski Z., Alqahtani F., Tolba A. Multi-agent-based decentralized residential energy management using deep reinforcement learning. Journal of Building Engineering. 2024. Vol. 87. Article 109031. DOI: https://doi.org/10.1016/j.jobe.2024.109031
8. Singh S. K., Tanwar S., Jadeja R., Singh S., Polkowski Z. Secure and intelligent IoT-enabled smart cities. Hershey: IGI Global, 2024. 453 p. DOI: https://doi.org/10.4018/979-8-3693-2373-1
9. Rathod T., Jadav N. K., Tanwar S., Polkowski Z., Yamsani N., Sharma R., Alqahtani F., Gafar A. AI and blockchain-based secure data dissemination architecture for IoT-enabled critical infrastructure. Sensors. 2023. Vol. 23, No. 21. DOI: https://doi.org/10.3390/s23218928
10. Polkowski Z., Mishra S. K., Mishra B. K., Borah S., Mohanty A. Impact of internet of things in social and agricultural domains in rural sector: a case study. International Journal of Cloud Computing. 2023. Vol. 12. No. 1. P. 90–105. DOI: https://doi.org/10.1504/IJCC.2023.129776

E-mail: zdzislaw.polkowski@byd.pl