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Konstantin Pandl: Unterschied zwischen den Versionen

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<h3>2020</h3>
 
<h3>2020</h3>
 
<ul>
 
<ul>
<li>Pandl, K., Thiebes, S., Schmidt-Kraepelin, M. & Syunaev, A. (2019). On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda In: IEEE Access (accepted), February 2020
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<li>Pandl, K., Thiebes, S., Schmidt-Kraepelin, M. & Syunaev, A. (2019). On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda In: IEEE Access 8, 57075-57095, March 2020
 
</li>
 
</li>
 
</ul>
 
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<h1>Talks</h1>
 
<h1>Talks</h1>
 
<ul>
 
<ul>
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<li>Convergence of AI and DLT – review and future research agenda / BloG3 research project - blockchain-based health data management, Oasis Labs, San Francisco, CA, USA, April 2020</li>
 
<li>How the Convergence of Blockchain and Artificial Intelligence will Benefit Healthcare Researchers, Blockchain for Science Conference, Berlin, November 2019</li>
 
<li>How the Convergence of Blockchain and Artificial Intelligence will Benefit Healthcare Researchers, Blockchain for Science Conference, Berlin, November 2019</li>
 
</ul>
 
</ul>

Version vom 9. April 2020, 13:56 Uhr

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Curriculum Vitæ

Work Experience:

  • Since 07/2019: Research associate in the Critical Information Infrastructures research group at the Karlsruhe Institute of Technology, Germany.
  • 11/2018 – 05/2019: Consultant at A.T. Kearney GmbH, Munich, Germany.
  • 05/2016 – 10/2016: Venture Analyst Intern at Siemens Technology-To-Business / next47, Berkeley, CA, USA.
  • 06/2012: Software Engineering Intern at Physik Instrumente, Karlsruhe, Germany.


Education:

  • Since 07/2019: Ph.D. student in the Critical Information Infrastructures research group at Karlsruhe Institute of Technology, Germany.
  • 09/2017 – 03/2018: Master thesis exchange student in Intelligent Manufacturing at Tongji University, China.
  • 10/2015 – 04/2018: M.Sc. in Electrical Engineering and Information Technology (with distinction) at Karlsruhe Institute of Technology, Germany.
  • 08/2015 – 05/2016: Graduate exchange student in Electrical and Computer Engineering at Purdue University, USA.
  • 10/2012 – 08/2015: Bachelor of Science in Electrical Engineering and Information Technology (with distinction) at Karlsruhe Institute of Technology, Germany.


Research Interests

  • Privacy-preserving machine learning
  • Blockchain-based data marketplaces


Publications

2020

  • Pandl, K., Thiebes, S., Schmidt-Kraepelin, M. & Syunaev, A. (2019). On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda In: IEEE Access 8, 57075-57095, March 2020

2019

  • Beyene, M., Kannengießer, N., Pandl, K., Thiebes, S. & Syunaev, A. (2019). A Cost and Time Efficient Approach for Storing and Querying Genomic Data in Ethereum Smart Contracts In: iDash Privacy & Security Workshop, October 2019, Bloomington, IN, USA

2016

  • Doerr, D., Pandl, K. & Gauterin, F. (2016). Optimization of system parameters for an online driving style recognition In: 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC). Rio de Janeiro, Brazil.


Talks

  • Convergence of AI and DLT – review and future research agenda / BloG3 research project - blockchain-based health data management, Oasis Labs, San Francisco, CA, USA, April 2020
  • How the Convergence of Blockchain and Artificial Intelligence will Benefit Healthcare Researchers, Blockchain for Science Conference, Berlin, November 2019






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