About
I am a research associate and Ph.D. candidate at KIT in Germany advised by Ali Sunyaev. Over the summer of 2022, I was a visiting researcher at the Systopia lab of UBC Vancouver, hosted by Ivan Beschastnikh. Previously, I graduated in Electrical and Computer Engineering, and spent some time in industry at Siemens' venture unit next47 in Berkeley, CA and Kearney in Germany.
My research interests are in privacy-preserving machine learning, and blockchain-based data marketplaces for AI.
Publications
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Reward Systems for Trustworthy Medical Federated Learning (arXiv preprint)
Konstantin D. Pandl,
Florian Leiser,
Scott Thiebes,
Ali Sunyaev
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Artificial Intelligence as a Service (Business & Information Systems Engineering)
Sebastian Lins,
Konstantin D. Pandl,
Heiner Teigeler,
Scott Thiebes,
Calvin Bayer,
Ali Sunyaev
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How detection ranges and usage stops impact digital contact tracing effectiveness for COVID-19 (Scientific Reports)
Konstantin D. Pandl,
Scott Thiebes,
Manuel Schmidt-Kraepelin,
Ali Sunyaev
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Trustworthy machine learning for health care: scalable data valuation with the shapley value (Proceedings of the ACM Conference on Health, Inference, and Learning (CHIL 2021), Virtual Event, Apr 8 - 9)
Konstantin D. Pandl,
Fabian Feiland,
Scott Thiebes,
Ali Sunyaev
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Drivers and Inhibitors for Organizations’ Intention to Adopt Artificial Intelligence as a Service (Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS 2021), Hawaii, Jan 5 - 8)
Konstantin D. Pandl,
Heiner Teigeler,
Sebastian Lins,
Scott Thiebes,
Ali Sunyaev
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What Your Radiologist Might Be Missing: Using Machine Learning to Identify Mislabeled Instances of X-ray Images (Proceedings of the 54th Hawaii International Conference on System Sciences (HICSS 2021), Hawaii, Jan 5 - 8)
Tim Rädsch,
Sven Eckhardt,
Florian Leiser,
Konstantin D. Pandl,
Scott Thiebes,
Ali Sunyaev
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On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda (IEEE Access 8, 57075-57095, March 2020)
Konstantin D. Pandl,
Scott Thiebes,
Manuel Schmidt-Kraepelin,
Ali Sunyaev
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A Cost and Time Efficient Approach for Storing and Querying Genomic Data in Ethereum Smart Contracts (iDash Privacy & Security Workshop, October 2019)
by Mikael Beyene,
Niclas Kannengießer,
Konstantin D. Pandl,
Scott Thiebes,
Ali Sunyaev
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Optimization of System Parameters for an Online Driving Style
Recognition (IEEE International Conference on Intelligent Transportation Systems, November 2016)
by Dominik Dörr,
Konstantin D. Pandl,
Frank Gauterin
Talks
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cii lab@KIT, Federated Learning and Data Valuation, Current Research (University of British Columbia, Vancouver, Canada, May 2022)
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Convergence of AI and DLT – review and future research agenda [Slides] | BloG3 research project - blockchain-based health data management (Oasis Labs, San Francisco, CA, USA, April 2020)
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How the Convergence of Blockchain and Artificial Intelligence will Benefit Healthcare Researchers (Blockchain for Science Conference, Berlin, November 2019)
[Video]
[Abstract]
