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In few words...

I graduated master's degree "Operation and management of transport" with distinction in 2011 at Faculty of Mechanical Engineering in Cracow University of Technology. I started PhD studies in 2012 at Faculty of Civil Engineering. I graduated postgraduate studies "Manager of research and development" at University of Economics and Innovation in Lublin. In 2016 I adjudged PhD degree in transport discipline.

Experience and competence

I started work in Institute of Rail Vehicle at Faculty of Mechanical Engineering in Cracow University of Technology in 2011. Since 2006 I cooperate with Warsaw advertisement agency JM Group as web application developer. In 2012, I was running my own IT company in the Academic Business Incubator. In 2016 I started work for SKK S.A. as R&D Engineer.

In 2013, I got Assistant Certificate of Quality Management System Certificate by PCBC. In 2014, I became Certified SIMP Appraisers in specialization: Industrial logistics and Marketing and management in industry.

Scientific works

I am the author of 74 scientific publications, 38 of which are Polish-language rest of it are in English-language, 13 publications are indexed in Web of Science or Scopus databases.

I took part in 21 conferences (including in France, Russia, Spain, Slovenia, the Czech Republic, Ukraine), presenting 25 of their scientific publications on them.

Interests & hobby

Privately passionate about medieval knights and armor maker (7 years of active membership in the brotherhood of chivalry), martial arts and melee weapons.

Augustyn Lorenc
Phone.+48 12 374 36 59
Fax: +48 12 628 33 11
ResercherID: Q-5894-2016
Recent papers
  1. Lorenc A., How to Find Disruptions in Logistics Processes in the Cold Chain and Avoid Waste of Products? (2024), Applied Science, 14(1), Basel, Switzerland, pp. 1-25
  2. Lorenc A., Czuba M., Szarata J., Real time location system (RTLS) based on the Bluetooth technology for internal logistics (2023), Sustainability, 15, 4976, Basel, Switzerland, pp. 1-22
  3. Ku??nar M., Lorenc A., The most common type of disruption in the supply chain - evaluation based on the method using artificial neural networks (2021), International Journal of Shipping and Transport Logistics, Vol. 13, No. 1-2, Bristol (UK), pp. 1-24
  4. Kuznar M., Lorenc A., A method of predicting wear and damage of pantograph sliding strips based on Artificial Neural Networks (2021), Materials, 15(98), Basel, Switzerland, pp. 1-23
  5. Kuznar M., Lorenc A., Kaczor G., Pantograph Sliding Strips Failure - Reliability Assessment and Damage Reduction Method Based on Decision Tree Model (2021), Materials, 14(19), 5743, Basel, Switzerland, pp. 1-17
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