Computational Intelligence and Cybersecurity Research Group
If you are interested in working with us, don't hesitate to contact us. We have a lot of experience in international research groups and we are open to new ideas!
Leader: Dr Agnieszka Jakóbik
Dr Agnieszka Jakóbik (Krok)
received her M.Sc. in mathematics in the field of stochastic processes at the Jagiellonian University, Cracow, Poland and the Ph.D. degree in the field of computer science in neural networks at Tadeusz Kosciuszko Cracow University of Technology, Poland, in 2003 and 2007, respectively. From 2009 she is an Assistant Professor at Faculty of Physics, Mathematics and Computer Science, Tadeusz Kosciuszko Cracow University of Technology. Her main scientific and didactic interests are focused mainly on Cloud Computing security, Artificial Neural Networks, Genetic Algorithms, and additionally on Cryptography. Her e-mail address is: ajakobik@pk.edu.pl
For more information, please visit:
ORCID profile: https://orcid.org/0000-0003-4568-3944
Google Scholar profile: http://scholar.google.pl/citat
Members
Dr inż. Anna Plichta
My research concerns the issues connected with pattern recognition and machine learning. Most of my studies regards bacterial recognition by means of dedicated algorithms to support microbiological diagnostics.
Besides I study the field of database technologies and artificial intelligence.
For more information, please visit:
ORCID profile: ???
Google Scholar ???
Dr inż. Daniel Grzonka,
received his B.Eng. and M.Sc. degrees from Cracow University of Technology, Poland, in 2012 and 2013, respectively. In 2019 he received his Ph.D. degree from the Polish Academy of Sciences (in cooperation with Jagiellonian University). All degrees (with distinctions) are in Computer Science. Currently, he is an Assistant
Professor at the Cracow University of Technology. Dr Grzonka is laureate of the START 2019 stipend programme for the best Polish young researchers representing all scientific disciplines. The main topics of his research are monitoring systems, grid and cloud computing, multi-agent systems, task scheduling problems, data mining and high-performance computing.
For more information, please visit: www.grzonka.eu,
ORCID profile: http://orcid.org/0000-0002-590
Google Scholar profile: http://scholar.google.pl/citat
Mgr inż. Jacek Tchórzewski
received his B.Sc. and M.Sc. degrees with distinctions in Computer Science at Cracow University of Technology, Poland, in 2016 and 2017, respectively. Currently, he is Research and Teaching Assistant at Cracow University of Technology and Ph.D. student at AGH Cracow University of Science and Technology. His main interests are focused mainly on Cryptography, Cloud Computing and Artificial Neural Networks.
For more information please visit:
https://scholar.google.pl/citations?hl=pl&user=mRxNsAsAAAAJ
https://orcid.org/0000-0002-0188-4253
Mgr inż. Andrzej Wilczyński
is Research and Teaching Assistant at the Cracow University of Technology and a Ph.D. student at AGH University of Science and Technology. The topics of his research include Blockchain-based modeling in distributed computing, cloud computing and, in particular, data and resource virtualization, tasks scheduling in cloud computing and security issues in these domains.
For more information please visit www.awilczynski.me
ORCID profile: https://orcid.org/0000-0001-6774-3667
Google Scholar profile: https://scholar.google.pl/citations?user=nMFSUEcAAAAJ&hl=pl
Mgr inż. Piotr Szuster
graduated in Computer Science at Cracow University of Technology, Poland, in 2016. Currently, he is a research and teaching assistant at Cracow University of Technology and a Ph.D. student at AGH University of Science and Technology. The main topics of his research are Big Data, Data Fusion and Internet of Things.
For more information, please visit: http://retsuz.pl/
ORCID profile: ???
Google Scholar: https://scholar.google.pl/citations?hl=en&user=0x2XJj0AAAAJ
Mgr inż. Adrian Widłak
majored in Computer Science at the Cracow University of Technology, Poland, received his B.Eng. and M.Sc. degrees in 2016 and 2017, respectively. He has been a researcher and teacher at Cracow University of Technology, Institute of Computer Science, since 2017. His interests include point cloud processing, artificial intelligence, computational geometry, video image processing and data visualization.
For more information, please visit:
ORCID profile: http://orcid.org/0000-0001-9256-0061
Google Scholar profile: https://scholar.google.com/citations?user=fZOnAa4AAAAJ
Webpage: http://adrianwii.pl
E-mail: adrian.widlak@pk.edu.pl
Mgr inż. Magdalena Hańderek
received her B.Eng. degree from the University of Bielsko-Biala, Poland in 2010, and the M.Sc. degree from Cracow University of Technology, Poland in 2012, both in Computer Science. Between 2014 and 2018 she was an Assistant Professor at Faculty of Physics, Mathematics and Computer Science, Cracow University of Technology. Currently, she is a lecturer at this University. The main area of her research is data-aware task scheduling and resource management, grid and cloud computing.
For more information, please visit:
ORCID profile: https://orcid.org/0000-0002-9549-1943
Google Scholar profile: https://scholar.google.pl/citations?hl=en&user=CEd1HCIAAAAJ
.
Research partners
Prof. Joanna Kołodziej
NASK Research institute, Poland
Prof. Mauro Iacono
Università degli Studi della Campania „L. Vanvitelli”, Dipartimento di Matematica e Fisica, Italy
Prof. Francesco Palmieri
Department of Computer Science, University of Salerno, Italy
Prof. Alejandro Fernández-Montes
Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos, Spain
Prof. Horacio González-Vélez
Cloud Competency Centre, National College of Ireland
Prof. Marco Gribaudo
Politecnico di Milano, Italy
Dr Damián Fernández-Cerero
University of Seville, Spain
Dr Grażyna Suchacka
University of Opole, Poland
Dr Dominika Cywicka
Agricultural University of Kraków
You 🙂
…
Projects
1. Projekt ICT COST Action IC1406 High-Performance Modelling and Simulation for Big Data Applications (cHiPSet), funded by z COST (European Cooperation in Science and Technology), Enabling Infrastructures and Middleware for Big-Data Modelling and Simulation, 08/04/2015 do 07/04/2019
2. Modeling Defense Scenarios Against Cloud Security Threats, COST STSM Grant number COST-STSM-ECOST-STSM-IC1406-231115-068853, funded by COST Action: IC1406, 2018,
3. Security in Cloud Environment, COST STSM Grant number COST-STSM-ECOST-STSM-IC1406-040317-080946, funded by COST Action: IC1406, 2015-2017,
4. BalticSatApps – Speeding up Copernicus-based innovation in the Baltic Sea Region, funded by Interreg Baltic Sea Region Programme 2014 – 2020, 10/2017–9/2020,
5. Power, PROGRAMOWANIE DOSKONAŁOŚCI – PK XXI 2.0. Program of the development of Cracow University of Technology, 2018-2022, funded by Polish National Centre of research and POWR.03.05.00-IP.08-00-PZ2/17. The aim of the project is to organize and open the Computer Security masters degree studies.
6. Energy Efficiency and Performance of Data Centers by Smart Virtualization and Deep Learning Event Detection (RTI2018-098062-A-I00)
International Conferences committees
- EUROPEAN Conference on Modelling and Simulation, ECMS, http://www.scs-europe.net/conf/ecms2019/index.html
2. QUATIC International Conference on the Quality of Information and Communications Technology, https://sites.google.com/view/quatic2019
3. International Science Conference on Computer Networks, https://www.aconf.org/conf_166552.html
Main publications
|
A Jakóbik, F Palmieri, J Kołodziej, Stackelberg games for modelling defence scenarios against cloud security threats, Journal of network and computer applications 110, 99-107 |
| A Jakóbik, D Grzonka, F Palmieri, Non-deterministic security driven meta scheduler for distributed cloud organizations, Simulation Modelling Practice and Theory 76, 67-81 |
| D Fernández-Cerero, A Jakóbik, A Fernández-Montes, J Kołodziej, GAME-SCORE: Game-based energy-aware cloud scheduler and simulator for computational clouds, Simulation Modelling Practice and Theory 93, 3-20 |
| E Barbierato, M Gribaudo, M Iacono, A Jakóbik, Exploiting CloudSim in a multiformalism modeling approach for cloud based systems, Simulation Modelling Practice and Theory 93, 133-147 |
| M Gribaudo, M Iacono, A Jakobik, J Kolodziej, Performance Optimisation Of Edge Computing Homeland Security Support Applications, 32nd European Conference on Modelling and Simulation, 440-446 |
| Grzonka, Daniel, et al. „Using a multi-agent system and artificial intelligence for monitoring and improving the cloud performance and security.” Future Generation Computer Systems 86 (2018): 1106-1117. |
| Grzonka, Daniel, et al. „Artificial Neural Network support to monitoring of the evolutionary driven security aware scheduling in computational distributed environments.” Future Generation Computer Systems 51 (2015): 72-86. |
| Grzonka, Daniel. „The analysis of openstack cloud computing platform: Features and performance.” Journal of telecommunications and Information Technology, vol. 3 (2015): 52-57. |
| A. Wilczyński, A. Widłak, „Blockchain Networks – Security Aspects and Consensus Models”, Journal of Telecommunications and Information Technology, in press. |
| A. Wilczyński, A. Jakóbik, J. Kołodziej, „Stackelberg Security Games: Models, Applications and Computational Aspects”, Journal of Telecommunications and Information Technology, Volume 3, 2016, Pages 70-79 |
| A. Wilczyński, J. Kołodziej, „Virtualization Model for Processing of the Sensitive Mobile Data”, In: Kołodziej J., Pop F., Dobre C. (eds) Modeling and Simulation in HPC and Cloud Systems. Studies in Big Data, vol 36. Springer, Cham, 2018, Pages 121-13 |
| Zieliński B.,Plichta A., Misztal K., Spurek P., Brzychczy-Włoch M., Ochońska D.,Deep learning approach to bacterial colony classification, PLOS ONE, 2017 |
| Plichta A., Szomiński Sz., Models of IT project management implementation and maintenance, Information Systems in Management 2016/1 |
| Plichta A., Szomiński Sz., Mobile Robot Navigation Algorithms based on Stereovision, ECMS 2015 |
| Szmajduch, M. “Data and Task Scheduling in Distributed Computing Environments”, Journal of Telecommunications and Information Technology (JTIT), Vol. 4/2014 4. |
| Szmajduch, M., Kołodziej, J. “Data-Aware Scheduling in Massive Heterogeneous Systems”, Proceedings – 29th European Conference on Modelling and Simulation, ECMS 2015, pp. 601-607 3. |
| Szmajduch M., “The Concept of Business Intelligence in the Microsoft SQL Server Environment”, Information Systems in Management (2016) Vol. 5 (3) 413-423 2. |
| J Kołodziej, D Grzonka, A Widłak, P Kisielewicz, Ultra Wide Band Body Area Networks: Design and Integration with Computational Clouds High-Performance Modelling and Simulation for Big Data Applications, 279-306 |
| J. Tchórzewski, A. Jakóbik. Theoretical and Experimental Analysis of Cryptographic Hash Functions. In Journal of Telecommunications and Information Technology, number 1, pages 125 – 133, National Institute of Telecommunications, Poland, 2019. |
| A. Jakóbik, J. Tchórzewski. Analysis of Selected Cryptographic Services for Processing Batch Tasks in Cloud Computing Systems. In Modeling and Simulation in HPC and Cloud Systems, pages 135 – 155, Springer, 2018 |
| J. Tchórzewski, A. Respício, J. Kołodziej. ANN-Based Secure Task Scheduling In Computational Clouds. In 32nd European Conference on Modelling and Simulation ECMS 2018, Wilhelmshaven, Germany, May 22-25, Proceedings, pages 468–474, 2018. |
| Grzonka, Daniel, Grażyna Suchacka, and Barbara Borowik. „Application of selected supervised classification methods to bank marketing campaign.” Information Systems in Management 5.1 (2016): 36-48. |