Experience
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The Cracow University of Technology, Institute of Rail Vehicle |
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Cracow University of Economics, Department of International Management (01.10.2018 – 30.09. 2019) Contract of mandate (fixed-term), conducting classes in institutions of logistics, logistics workshops |
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SKK S.A., R&D Department (2016.05 - present) R&D Engineer |
| Bionanotechnology and Innovative Techniques Center, Richard P. Feynmban (08.2014 – 10.2014) Analyst - internship in the project "Innovation chance for development enterprises in Malopolska" |
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Trade and Transport company CzesĹaw & Artur Mierzwa (10.2012 – 12.2012) Forwarder – internship in the project „Research and development in the knowledge-based economy” |
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Phu Lukanet - internship in the project „SPIN – An effective entrepreneur and scientist” (06.2012 – 08.2012) Specialist for Internet Marketing |
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Advertising agency Aklo WEB (06.2011 - 01.2012) Own business activity under the Academic Business Incubator in Krakow |
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Modern Advertising Agency JM Group, cooperation as Freelancer (2006 – 2015) Specialist for Internet Marketing, programmer, graphic designer |
Augustyn Lorenc
Phone.+48 12 374 36 59
Fax: +48 12 628 33 11
email: alorenc@pk.edu.pl
ResercherID: Q-5894-2016
Phone.+48 12 374 36 59
Fax: +48 12 628 33 11
email: alorenc@pk.edu.pl
ResercherID: Q-5894-2016
Recent papers
- Lorenc A., Predicting Fuel Consumption by Artificial Neural Network (ANN) Based on the Regular City Bus Lines (2025), Sustainability 2025, 17(4), 1678, Basel, Switzerland, pp. 1-24
- Kuźnar M., Lorenc A., The Potential of Artificial Intelligence in Predicting Post-Stroke Rehabilitation Outcomes: Statistical Analysis Considering Rivermead Motor Assessment and Activities of Daily Living Indicators and Se (2024), Applied Science, 14(24), 11806, Basel, Switzerland, pp. 1-24
- Kuźnar M., Lorenc A., Minimization of material waste through the Maintenance Interval Optimization in Transport Systems (2024), Applied Science, 14, 11318, Basel, Switzerland, pp. 1-23
- 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
- Kuźnar M., Lorenc A., A Hybrid Method for Technical Condition Prediction Based on AI as an Element for Reducing Supply Chain Disruptions (2023), Applied Science, 13(22), Basel, Switzerland, pp.
