Marcin P. Pawłowski, PhD

PhD

Address:
ZTI, Marcin P. Pawłowski
ul. Łojasiewicza 11
30-348 Kraków, Poland

E-mail: pawlowski.mp (at) gmail (dot) com

 

 

 

Education

  • Computer Science MSc degree from Jagiellonian University in 2010.
  • Electronics and Telecommunications BEng degree from AGH University of Science and Technology in 2013.
  • Computer Science PhD degree from Warsaw University of Technology in 2017.

Current Research Focuses

  • Application of blockchains for security of the Internet of Things
  • Lightweight security mechanisms for the Internet of Things
  • Blockchain, crypto-currencies and smart-contracts
  • Lightweight and post-quantum cryptography
  • Optimization of security data processing using various computing architectures
  • Novel protocols and computing architectures for security and efficiency the Internet of Things

General Research Interests

  • Security: Wireless networks security, protocols security, applied cryptography, embedded security, applied cryptography, operating systems security, networks security, blockchain security
  • Networks: Routing protocols, wired and wireless networks, telecommunication technologies, network protocols, sensor and low-power lossy networks, distributed ledger technologies
  • Computing: Cloud Computing, Edge Computing, Fog computing, High-Performance Computing, Constrained Computing
  • Applications: Internet of Things, Wearable devices, eHealth, Networks, Autonomous Vehicles, Big Data

Journals

  1. International Journal of Data Warehousing and Mining, 04.2016, I-BAT: A Data-Intensive Solution based on the Internet of Things to Predict Energy Behaviours in Microgrids, Antonio J. Jara, Luc Dufour, Gianluca Rizzo, Marcin Piotr Pawlowski, Dominique Genoud, Alexandre Cotting, Yann Bocchi, Francois Chabbey
  2. Mobile Information Systems, 11.2015, Compact Extensible Authentication Protocol for the Internet of Things: enabling scalable and efficient security commissioning, Marcin Piotr Pawlowski, Antonio J. Jara and Maciej J. Ogorzalek
  3. Sensors, 10.2015, Harvesting Entropy for Random Number Generation for Internet of Things Constrained Devices Using On-Board Sensors, Marcin Piotr Pawlowski, Antonio J. Jara and Maciej J. Ogorzalek
  4. Sensors, 09.2015, Optimized ECC Implementation for Secure Communication between Heterogeneous IoT Devices, Leandro Marin, Marcin Piotr Pawlowski and Antonio J. Jara
  5. IEEE Journal on Selected Areas of Communication, 04.2015, Toward a Lightweight Authentication and Authorization Framework for Smart Objects, Jose Luis Hernandez Ramos, Marcin Piotr Pawlowski, Antonio J. Jara, Antonio Fernando Skarmeta Gomez and Latif Ladid
  6. Research Briefs on Information & Communication Technology Evolution (ReBicte), 01.2015, Harvesting Entropy from On-board Sensors of Constrained Devices for Hardening Security of IoT Communication Mechanisms, Marcin P. Pawlowski, Antonio J. Jara, and Maciej J. Ogorzalek

Conferences

  1. Global Communications Conference, Exhibition and Industry Forum (GLOBECOM 2015), San Diego, CA, USA, 12.2015, Maximizing the Extensible Authentication Protocol Maximum Transfer Unit to minimize the authenticating data transmission in the IEEE 802.15.4 networks, Marcin P. Pawlowski, Antonio J. Jara and Maciej J. Ogorzalek
  2. The 29th IEEE International Conference on Advanced Information Networking and Applications (AINA 2015), Gwangju, South Korea, 04.2015, EAP for IoT: more efficient transport of authentication data - TEPANOM case study, Marcin P. Pawlowski, Antonio J. Jara and Maciej J. Ogorzalek
  3. The 6th International Workshop on Managing Insider Security Threats (MIST 2014), Seoul, South Korea, 11.2014, Harvesting Entropy from On-board Sensors of Constrained Devices for Hardening Security of IoT Communication Mechanisms, Marcin P. Pawlowski, Antonio J. Jara and Maciej J. Ogorzalek
  4. The Eighth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS-2014), Birmingham City University, Birmingham, UK, 07.2014, Extending Extensible Authentication Protocol over IEEE 802.15.4 networks, Marcin P. Pawlowski, Antonio J. Jara and Maciej J. Ogorzalek
  5. Seventh Academic Computer Center Cyfronet AGH Users' Conference, 03.2014, P.M. Oramus, M.P. Pawlowski, and G. Surowka, Automatic reconfiguration of DNAT rules by Java RMI application running on the Vyatta router
  6. Seventh Academic Computer Center Cyfronet AGH Users' Conference, 03.2014, M.P. Pawlowski, G. Surowka, and P. Oramus, Performance analysis of the full-virtualization environments
  7. International Symposium on Operations Research and its Applications (ISORA 2013), 08.2013, Leszek A. Nowak, Marcin P. Pawlowski, Katarzyna Grzesiak-Kopec, Maciej J. Ogorzalek, Color Calibration Model of Skin Lesion Images for Computer-Aided Diagnostic
  8. IEEE Biomedical Circuits and Systems Conference (BiOCAS 2012), 11.2012, Leszek A. Nowak, Maciej J. Ogorzalek, Marcin P. Pawlowski, Texture Analysis for Dermoscopic Image Processing
  9. International Conference on Computer Vision and Graphics (ICCVG 2012), 09.2012, Weronika Piatkowska, Leszek Nowak, Marcin Pawlowski, Maciej Ogorzalek, Stafflines Pattern Detection Using the Swarm Intelligence Algorithms, Published in Lecture Notes in Computer Science (LNCS)
  10. IEEE International Conference on Systems Biology (ISB), 08.2012, Leszek A. Nowak, Maciej J. Ogorzalek, Marcin P. Pawlowski, Pigmented Network Structure Detection Using Semi-Smart Adaptive Filters
  11. Association of Asia-Pacific Operational research Societies (APROS 2012), 07.2012, Leszek A. Nowak, Marcin P. Pawlowski, Maciej J. Ogorzalek, Dermoscopic Pattern Detection Using Swarm Intelligence Algorithm for Computer Aided Skin Lesion Diagnostics

See also

Juna Network Academy
$y.getChild('grafika-lewa-alt').data

Juna Network Academy

It is a training center in the Juniper Networks Academic Alliance project.

The project website:
Juna Website

Students Computer Laboratory
$y.getChild('grafika-lewa-alt').data

Students Computer Laboratory

It has its own website with additional information about software available. 

Laboratories website

Modern Techniques for Computer Aided Melanoma Diagnosis
$y.getChild('grafika-lewa-alt').data

Melanoma in the Clinic - Diagnosis, Management and Complications of Malignancy
ISBN:978-953-307-571-6

Modern Techniques for Computer-Aided Melanoma Diagnosis
By Maciej Ogorzałek, Leszek Nowak, Grzegorz Surówka and Ana Alekseenko