Prof. Dr. Kurt Stockinger

Work at ZHAW

Position

• Professor of Computer Science
• Head MAS Data Science
• Co-Head ZHAW Datalab
• Head of Research Group "Intelligent Information Systems"
• Co-author of the book „Applied Data Science“, Springer 2019

Focus

• Intelligent Information Systems
• My main research focus is at the intersection of information systems, natural language processing and machine learning.
• More specific topics are: Data Science, Big Data, Natural Language Query Processing, Question Answering over Knowledge Graphs, Machine Learning for Information Systems, Quantum Machine Learning

Teaching

• Databases
• Information Engineering
• Quantum Computing (Quantum Machine Learning)
• Big Data for Natural Sciences (University of Zurich)

Professional development teaching

• DAS Data Science
• CAS Machine Intelligence
• MAS Data Science

Experience

• Professor with Right to Confer a Ph.D. at the Faculty of Science
  University of Zurich, Switzerland
  11 / 2022 - today
• Professor of Computer Science
  Zurich University of Applied Sciences, Switzerland
  07 / 2016 - today
• Visiting Scholar
  University of Washington, Seattle, Washington, USA
  02 / 2024 - 08 / 2024
• External Lecturer
  University of Zurich, Switzerland
  02 / 2022 - 10 / 2022
• Associate Professor of Computer Science
  Zurich University of Applied Sciences, Switzerland
  08 / 2013 - 06 / 2016
• Data Warehouse & Business Intelligence Architect
  Credit Suisse, Zurich, Switzerland
  11 / 2007 - 07 / 2013
• Computer Scientist
  Lawrence Berkeley National Laboratory, Berkeley, California, USA
  02 / 2003 - 09 / 2007
• Computer Scientist
  CERN, Geneva, Switzerland
  05 / 1999 - 12 / 2003
• Visiting Researcher
  California Institute of Technology, Pasadena, California, USA
  03 / 2001 - 06 / 2001

Education and Continuing education

Education

• CAS Didaktik & Methodik
  Zurich University of Applied Sciences, Switzerland
  03 / 2014 - 05 / 2014
• Online course / Machine Learning
  Stanford University, USA
  03 / 2012 - 12 / 2012
• Ph.D. / Computer Science
  University of Vienna, Austria and CERN, Switzerland
  05 / 1999 - 12 / 2001
• Master / Computer Science and Business Administration
  University of Vienna, Austria
  10 / 1994 - 03 / 1999
• Erasmus Exchange Program / Computer Science
  Royal Holloway College, University of London, England
  09 / 1996 - 06 / 1997

Network

ORCID digital identifier

ORCID ID: 0000-0003-4034-4812

Social media

• Quantum Machine Learning
• Intelligent Open Data Exploration Applied to Astrophysics and Bioinformatics
• The ZHAW Datalab

Media presence

• QuantumBasel and ZHAW School of Engineering join Forces for Quantum Machine Learning Research
• ZHAW researchers apply quantum computers in practice

Projects

• Reliable Multi-lingual and Cross-lingual Open Data Exploration in Natural Language / Co-project leader / laufend
• Digital Health Zurich: a practice lab for patient-centred clinical innovation / Deputy project leader / laufend
• GraphQueryML – Using Machine Learning to Optimize Queries in Graph Databases (SNSF/DFG) / Project leader / laufend
• INODE4StatBot.swiss – Application of new algorithms for automatic natural language translation into database query language SQL (NL-to-SQL) / Project leader / abgeschlossen
• DECIDE – Digital Enabling of Circularity, Innovation, Development and Environment / Project leader / abgeschlossen
• DataInc – Intelligent Data Integration and Cleaning / Team member / abgeschlossen
• INODE – Intelligent Open Data Exploration (EU Horizon 2020) / Project leader / abgeschlossen
• NQuest – Natural Language Query Exploration System / Project leader / abgeschlossen
• NatalieDB: Natural Language Interface for Databases / Project leader / abgeschlossen
• Decision Support System for Predictive Maintenance of Laser Cutting Machines / Team member / abgeschlossen
• Enabling Complex, Semantic Queries to Bioinformatics Databases through Intuitive Searching over Data (Bio-SODA) / Project leader / abgeschlossen
• Large Scale Data-Driven Financial Risk Modelling / Team member / abgeschlossen
• Accurate Customer Identification on Digital Channels (AC/DC) / Project leader / abgeschlossen
• Real-time price anomaly detection for market data quality monitoring / Team member / abgeschlossen
• Quantified self - halfway between lifestyle and medicine / Team member / abgeschlossen
• Smart Alarms and Verified Events (SAVE) / Project leader / abgeschlossen
• Roche Business Analytics / Project leader / abgeschlossen
• Urban Water Research Data Warehouse / Project leader / abgeschlossen
• An Innovative E-Commerce Application Using Modern Machine Learning Technology / Project leader / abgeschlossen
• Big Data Query Processing / Project leader / abgeschlossen
• NoSQL Data Warehouse / Project leader / abgeschlossen
• SODES – Swiss Open Data Exploration System / Team member / abgeschlossen

Publications

• Berg, Michael; Furrer, Dirk; Thominet, Vincent; Wang, Xiaoqiang; Zeugin, Stefan; Grabner, Helmut; Stockinger, Kurt; Piamonteze, Cinthia,

  2024.

  distect : automatic sample-position tracking for X-ray experiments using computer vision algorithms.

  Journal of Synchrotron Radiation.

  Available from: https://doi.org/10.1107/S1600577524009536

• Smith, Ellery; Paloots, Rahel; Giagkos, Dimitris; Baudis, Michael; Stockinger, Kurt,

  2024.

  Data-driven information extraction and enrichment of molecular profiling data for cancer cell lines.

  Bioinformatics Advances.

  4(1), pp. vbae045.

  Available from: https://doi.org/10.1093/bioadv/vbae045

• Frehner, Robin; Wu, Kesheng; Sim, Alexander; Kim, Jinoh; Stockinger, Kurt,

  2024.

  Detecting anomalies in time series using kernel density approaches.

  IEEE Access.

  12, pp. 33420-33439.

  Available from: https://doi.org/10.1109/ACCESS.2024.3371891

• Lehmann, Claude; Sulimov, Pavel; Stockinger, Kurt,

  2024.

  Is your learned query optimizer behaving as you expect? : a machine learning perspective.

  Proceedings of the VLDB Endowment.

  17(7), pp. 1565-1577.

  Available from: https://doi.org/10.14778/3654621.3654625

• Zhang, Yi; Deriu, Jan Milan; Katsogiannis-Meimarakis, George; Kosten, Catherine; Koutrika, Georgia; Stockinger, Kurt,

  2024.

  ScienceBenchmark : a complex real-world benchmark for evaluating natural language to SQL systems.

  Proceedings of the VLDB Endowment.

  17(4), pp. 685-698.

  Available from: https://doi.org/10.14778/3636218.3636225

• Fankhauser, Tobias; Solèr, Marc E.; Füchslin, Rudolf Marcel; Stockinger, Kurt,

  2023.

  Multiple query optimization using a gate-based quantum computer.

  IEEE Access.

  11, pp. 114031-114043.

  Available from: https://doi.org/10.1109/ACCESS.2023.3324253

• Mildenberger, Thoralf; Braschler, Martin; Ruckstuhl, Andreas; Vorburger, Robert; Stockinger, Kurt,

  2023.

  The role of data scientists in modern enterprises : experience from data science education.

  SIGMOD Record.

  52(2), pp. 48-52.

  Available from: https://doi.org/10.21256/zhaw-27357

• Monteiro Simoes, Ricardo Daniel; Huber, Patrick; Meier, Nicola; Smailov, Nikita; Füchslin, Rudolf M.; Stockinger, Kurt,

  2023.

  Experimental evaluation of quantum machine learning algorithms.

  IEEE Access.

  11, pp. 6197-6208.

  Available from: https://doi.org/10.1109/ACCESS.2023.3236409

• Sima, Ana Claudia; Mendes de Farias, Tarcisio; Anisimova, Maria; Dessimoz, Christophe; Robinson-Rechavi, Marc; Zbinden, Erich; Stockinger, Kurt,

  2022.

  Bio-SODA UX : enabling natural language question answering over knowledge graphs with user disambiguation.

  Distributed and Parallel Databases.

  40(2), pp. 409-440.

  Available from: https://doi.org/10.1007/s10619-022-07414-w

• Amer-Yahia, Sihem; Koutrika, Georgia; Braschler, Martin; Calvanese, Diego; Lanti, Davide; Lücke-Tieke, Hendrik; Mosca, Alessandro; Mendes de Farias, Tarcisio; Papadopoulos, Dimitris; Patil, Yogendra; Rull, Guillem; Smith, Ellery; Skoutas, Dimitrios; Subramanian, Srividya; Stockinger, Kurt,

  2021.

  INODE : building an end-to-end data exploration system in practice.

  SIGMOD Record.

  50(4), pp. 23-29.

  Available from: https://doi.org/10.21256/zhaw-23624

• Liang, Shiqi; Stockinger, Kurt; de Farias, Tarcisio Mendes; Anisimova, Maria; Gil, Manuel,

  2021.

  Querying knowledge graphs in natural language.

  Journal of Big Data.

  8(3).

  Available from: https://doi.org/10.1186/s40537-020-00383-w

• Smith, Ellery; Papadopoulos, Dimitris; Braschler, Martin; Stockinger, Kurt,

  2021.

  LILLIE : information extraction and database integration using linguistics and learning-based algorithms.

  Information Systems.

  105.

  Available from: https://doi.org/10.1016/j.is.2021.101938

• Sima, Ana-Claudia; Dessimoz, Christophe; Stockinger, Kurt; Zahn-Zabal, Monique; Mendes de Farias, Tarcisio,

  2020.

  A hands-on introduction to querying evolutionary relationships across multiple data sources using SPARQL.

  F1000Research.

  8, pp. 1822.

  Available from: https://doi.org/10.12688/f1000research.21027.2

• Lehmann, Claude; Goren Huber, Lilach; Horisberger, Thomas; Scheiba, Georg; Sima, Ana-Claudia; Stockinger, Kurt,

  2020.

  Big data architecture for intelligent maintenance : a focus on query processing and machine learning algorithms.

  Journal of Big Data.

  7(1).

  Available from: https://doi.org/10.1186/s40537-020-00340-7

• Affolter, Katrin; Stockinger, Kurt; Bernstein, Abraham,

  2019.

  A comparative survey of recent natural language interfaces for databases.

  The VLDB Journal.

  Available from: https://doi.org/10.1007/s00778-019-00567-8

• Sima, Ana-Claudia; Mendes de Farias, Tarcisio; Zbinden, Erich; Anisimova, Maria; Gil, Manuel; Stockinger, Heinz; Stockinger, Kurt; Robinson-Rechavi, Marc; Dessimoz, Christophe,

  2019.

  Enabling semantic queries across federated bioinformatics databases.

  Database: The Journal of Biological Databases and Curation.

  2019(baz106).

  Available from: https://doi.org/10.1093/database/baz106

• Stockinger, Kurt; Bundi, Nils Andri; Heitz, Jonas; Breymann, Wolfgang,

  2019.

  Scalable architecture for big data financial analytics : user-defined functions vs. SQL.

  Journal of Big Data.

  6(46).

  Available from: https://doi.org/10.1186/s40537-019-0209-0

• Stockinger, Kurt; Bödi, Richard; Heitz, Jonas; Weinmann, Thomas Oskar,

  2017.

  ZNS : efficient query processing with ZurichNoSQL.

  Data & Knowledge Engineering.

  2017(112), pp. 38-54.

  Available from: https://doi.org/10.1016/j.datak.2017.09.004

• Stockinger, Kurt; Stadelmann, Thilo,

  2014.

  Data Science für Lehre, Forschung und Praxis.

  HMD Praxis der Wirtschaftsinformatik.

  51(4), pp. 469-479.

  Available from: https://doi.org/10.1365/s40702-014-0040-1

• Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, eds.,

  2019.

  Applied data science : lessons learned for the data-driven business.

  1. Auflage.

  Cham:

  Springer.

  ISBN 978-3-030-11820-4.

  Available from: https://doi.org/10.1007/978-3-030-11821-1

• Meidert, Ursula; Scheermesser, Mandy; Prieur, Yvonne; Hegyi, Stefan; Stockinger, Kurt; Eyyi, Gabriel; Evers-Wölk, Michaela; Jacob, Mattis; Oertel, Britta; Becker, Heidrun Karin,

  2018.

  Quantified Self : Schnittstelle zwischen Lifestyle und Medizin.

  Zürich:

  vdf Hochschulverlag.

  ISBN 978-3-7281-3891-0.

  Available from: https://doi.org/10.21256/zhaw-1941

• Breymann, Wolfgang; Bundi, Nils; Heitz, Jonas; Micheler, Johannes; Stockinger, Kurt,

  2019.

  Large-scale data-driven financial risk assessment

  .

  In:

  Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, eds.,

  Applied data science : lessons learned for the data-driven business.

  Cham:

  Springer.

  pp. 387-408.

  Available from: https://doi.org/10.1007/978-3-030-11821-1_21

• Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt,

  2019.

  Data science

  .

  In:

  Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, eds.,

  Applied data science : lessons learned for the data-driven business.

  Cham:

  Springer.

  pp. 17-29.

  Available from: https://doi.org/10.1007/978-3-030-11821-1_2

• Stadelmann, Thilo; Stockinger, Kurt; Heinatz-Bürki, Gundula; Braschler, Martin,

  2019.

  Data scientists

  .

  In:

  Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, eds.,

  Applied data science : lessons learned for the data-driven business.

  Cham:

  Springer.

  pp. 31-45.

  Available from: https://doi.org/10.1007/978-3-030-11821-1_3

• Stadelmann, Thilo; Braschler, Martin; Stockinger, Kurt,

  2019.

  Introduction to applied data science

  .

  In:

  Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, eds.,

  Applied data science : lessons learned for the data-driven business.

  Cham:

  Springer.

  pp. 3-16.

  Available from: https://doi.org/10.1007/978-3-030-11821-1_1

• Stockinger, Kurt; Braschler, Martin; Stadelmann, Thilo,

  2019.

  Lessons learned from challenging data science case studies

  .

  In:

  Braschler, Martin; Stadelmann, Thilo; Stockinger, Kurt, eds.,

  Applied data science : lessons learned for the data-driven business.

  Cham:

  Springer.

  pp. 447-465.

  Available from: https://doi.org/10.1007/978-3-030-11821-1_24

• Geiger, Melanie; Stockinger, Kurt,

  2019.

  Data warehousing and exploratory analysis for market monitoring

  .

  In:

  Applied data science : lessons learned for the data-driven business.

  Cham:

  Springer.

  pp. 333-351.

  Available from: https://doi.org/10.1007/978-3-030-11821-1_18

• Ackermann, Philipp; Stockinger, Kurt,

  2019.

  Narrative visualization of open data

  .

  In:

  Applied data science : lessons learned for the data-driven business.

  Cham:

  Springer.

  pp. 251-264.

  Available from: https://doi.org/10.1007/978-3-030-11821-1_14

• Sima, Ana-Claudia; Stockinger, Kurt; de Farias, Tarcisio Mendes; Gil, Manuel,

  2019.

  Semantic integration and enrichment of heterogeneous biological databases

  .

  In:

  Anisimova, Maria, ed.,

  Evolutionary genomics : statistical and computational methods.

  New York:

  Springer.

  pp. 655-690.

  Methods in Molecular Biology ; 1910.

  Available from: https://doi.org/10.1007/978-1-4939-9074-0_22

• Stockinger, Kurt; Stadelmann, Thilo; Ruckstuhl, Andreas,

  2016.

  Data Scientist als Beruf

  .

  In:

  Fasel, Daniel; Andreas, Meier, eds.,

  Big Data.

  Wiesbaden:

  Springer.

  pp. 59-81.

  Edition HMD.

  Available from: https://doi.org/10.1007/978-3-658-11589-0_4

• Fürst, Jonathan; Kosten, Catherine; Nooralahzadeh, Farhard; Zhang, Yi; Stockinger, Kurt,

  2025.

  Evaluating the data model robustness of Text-to-SQL systems based on real user queries [paper].

  In:

  Proceedings of EDBT 2025.

  28th International Conference on Extending Database Technology (EDBT), Barcelona, Spain, 25-28 March 2025.

  Open Proceedings.

  pp. 158-170.

  Advances in Database Technology ; 28.

  Available from: https://doi.org/10.48786/edbt.2025.13

• de Meer Pardo, Fernando; Lehmann, Claude; Gehrig, Dennis; Nagy, Andrea; Nicoli, Stefano; Branka Hadji, Misheva; Braschler, Martin; Stockinger, Kurt,

  2025.

  GraLMatch : matching groups of entities with graphs and language models [paper].

  In:

  Proceedings of EDBT 2025.

  28th International Conference on Extending Database Technology (EDBT), Barcelona, Spain, 25-28 March 2025.

  Open Proceedings.

  pp. 1-12.

  Advances in Database Technology ; 28.

  Available from: https://doi.org/10.48786/edbt.2025.01

• Nooralahzadeh, Farhad; Zhang, Yi; Smith, Ellery; Maennel, Sabine; Matthey-Doret, Cyril; Raphaël, de Fondville; Stockinger, Kurt,

  2024.

  StatBot.Swiss : bilingual open data exploration in natural language [paper].

  In:

  Findings of the Association for Computational Linguistics: ACL 2024.

  62nd Annual Meeting of the Association for Computational Linguistics (ACL), Bangkok, Thailand, 11-16 August 2024.

  Association for Computational Linguistics.

  pp. 5486-5507.

  Available from: https://doi.org/10.18653/v1/2024.findings-acl.326

• Kittelmann, Florian; Sulimov, Pavel; Stockinger, Kurt,

  2024.

  QardEst : using quantum machine learning for cardinality estimation of join queries [paper].

  In:

  1st Workshop on Quantum Computing and Quantum-Inspired Technology for Data-Intensive Systems and Applications (Q-Data), ACM SIGMOD/PODS 2024, Santiago, Chile, 9 June 2024.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  Available from: https://doi.org/10.21256/zhaw-30917

• Kosten, Catherine; Cudré-Mauroux, Philippe; Stockinger, Kurt,

  2024.

  Spider4SPARQL : a complex benchmark for evaluating knowledge graph question answering systems [paper].

  In:

  2023 IEEE International Conference on Big Data (BigData).

  IEEE International Conference on Big Data, Sorrento, Italy, 15-18 December 2023.

  IEEE.

  Available from: https://doi.org/10.1109/BigData59044.2023.10386182

• von Däniken, Pius; Deriu, Jan Milan; Agirre, Eneko; Brunner, Ursin; Cieliebak, Mark; Stockinger, Kurt,

  2022.

  Improving NL-to-Query systems through re-ranking of semantic hypothesis [paper].

  In:

  Abbas, Mourad; Freihat, Abed Alhakim, eds.,

  Proceedings of the 5th International Conference on Natural Language and Speech Processing (ICNLSP 2022).

  5th International Conference on Natural Language and Speech Processing (ICNLSP), online, 16-17 December 2022.

  Association for Computational Linguistics.

  pp. 57-67.

  Available from: https://doi.org/10.21256/zhaw-26147

• Holzer, Severin; Stockinger, Kurt,

  2022.

  Detecting errors in databases with bidirectional recurrent neural networks [paper].

  In:

  Proceedings of EDBT 2022.

  25th International Conference on Extending Database Technology, Edinburgh (online), 29 March - 1 April 2022.

  OpenProceedings.

  pp. 364-367.

  Available from: https://doi.org/10.48786/edbt.2022.22

• Klingler, Yasamin; Lehmann, Claude; Monteiro, Joao Pedro; Saladin, Carlo; Bernstein, Abraham; Stockinger, Kurt,

  2022.

  Evaluation of algorithms for interaction-sparse recommendations : neural networks don’t always win [paper].

  In:

  Proceedings of EDBT 2022.

  25th International Conference on Extending Database Technology, Edinburgh (online), 29 March - 1 April 2022.

  OpenProceedings.

  pp. 475-486.

  Available from: https://doi.org/10.48786/edbt.2022.42

• Lehmann, Claude; Gehrig, Dennis; Holdener, Stefan; Saladin, Carlo; Monteiro, João Pedro; Stockinger, Kurt,

  2022.

  Building natural language interfaces for databases in practice [paper].

  In:

  Proceedings of the 34th SSDBM.

  34th International Conference on Scientific and Statistical Database Management (SSDBM), Copenhagen, Denmark, 6 - 8 July 2022.

  Association for Computing Machinery.

  Available from: https://doi.org/10.1145/3538712.3538744

• Sima, Ana Claudia; Mendes de Farias, Tarcisio; Anisimova, Maria; Dessimoz, Christophe; Robinson-Rechavi, Marc; Zbinden, Erich; Stockinger, Kurt,

  2021.

  Bio-SODA : enabling natural language question answering over knowledge graphs without training data [paper].

  In:

  Proceedings of the 33rd SSDBM.

  International Conference on Scientific and Statistical Database Management (SSDBM), Online, 6-7 July 2021.

  Association for Computing Machinery.

  pp. 61-72.

  Available from: https://doi.org/10.1145/3468791.3469119

• Brunner, Ursin; Stockinger, Kurt,

  2021.

  ValueNet : a natural language-to-SQL system that learns from database information [paper].

  In:

  Proceedings of the 37th ICDE.

  37th International Conference on Data Engineering (ICDE), Chania, Greece, 19-22 April 2021.

  IEEE.

  pp. 2177-2182.

  Available from: https://doi.org/10.1109/ICDE51399.2021.00220

• Deriu, Jan Milan; Mlynchyk, Katsiaryna; Schläpfer, Philippe; Rodrigo, Alvaro; von Grünigen, Dirk; Kaiser, Nicolas; Stockinger, Kurt; Agirre, Eneko; Cieliebak, Mark,

  2020.

  A methodology for creating question answering corpora using inverse data annotation [paper].

  In:

  Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics.

  58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), online, 5-10 July 2020.

  Association for Computational Linguistics.

  pp. 897-911.

  Available from: https://doi.org/10.18653/v1/2020.acl-main.84

• Eslahi, Yasamin; Stockinger, Kurt; Bhardwaj, Akansha; Cudré-Mauroux, Philippe; Rosso, Paolo,

  2020.

  Annotating web tables through knowledge bases : a context-based approach (Best Paper Award) [paper].

  In:

  Proceedings of the 7th SDS.

  7th Swiss Conference on Data Science, Lucerne, Switzerland, 26 June 2020.

  IEEE.

  Available from: https://doi.org/10.1109/SDS49233.2020.00013

• Nadig, Stefanie; Braschler, Martin; Stockinger, Kurt,

  2020.

  Database search vs. information retrieval : a novel method for studying natural language querying of semi-structured data [paper].

  In:

  Proceedings of the 12th LREC.

  12th Language Resources and Evaluation Conference (LREC) 2020.

  European Language Resources Association.

  Available from: https://doi.org/10.21256/zhaw-20042

• Brunner, Ursin; Stockinger, Kurt,

  2020.

  Entity matching with transformer architectures - a step forward in data integration [paper].

  In:

  Proceedings of EDBT 2020.

  23rd International Conference on Extending Database Technology, Copenhagen, 30 March - 2 April 2020.

  OpenProceedings.

  pp. 463-473.

  Available from: https://doi.org/10.5441/002/edbt.2020.58

• Brunner, Ursin; Stockinger, Kurt,

  2019.

  Entity matching on unstructured data : an active learning approach [paper].

  In:

  Proceedings of the 6th SDS.

  Swiss Conference on Data Science, Berne, Switzerland, 14 June 2019.

  IEEE.

  pp. 97-102.

  Available from: https://doi.org/10.1109/SDS.2019.00006

• Mendes de Farias, Tarcisio; Stockinger, Kurt; Dessimoz, Christophe,

  2019.

  VoIDext : vocabulary and patterns for enhancing interoperable datasets with virtual links [paper].

  In:

  OTM 2019 Conference Proceedings.

  On the Move to Meaningful Internet Systems: OTM 2019 Conferences, Rhodes, Greece, 21 - 25 October 2019.

  Cham:

  Springer.

  pp. 607-625.

  Lecture Notes in Computer Science ; 11877.

  Available from: https://doi.org/10.1007/978-3-030-33246-4_38

• Sima, Ana-Claudia; Stockinger, Kurt; Affolter, Katrin; Braschler, Martin; Monte, Peter; Kaiser, Lukas,

  2018.

  A hybrid approach for alarm verification using stream processing, machine learning and text analytics [paper].

  In:

  Proceedings of the 21st International Conference on Extending Database Technology.

  EDBT 2018, Vienna, Austria, 26-29 March 2018.

  Association for Computing Machinery.

  Available from: https://doi.org/10.21256/zhaw-3487

• Stockinger, Kurt; Heitz, Jonas; Bundi, Nils Andri; Breymann, Wolfgang,

  2018.

  Large-scale data-driven financial risk modeling using big data technology [paper].

  In:

  2018 IEEE/ACM 5th International Conference on Big Data Computing Applications and Technologies (BDCAT).

  5th International Conference on Big Data Computing, Applications and Technologies (BDCAT), Zurich, Switzerland, 17-20 December 2018.

  IEEE.

  pp. 206-207.

  Available from: https://doi.org/10.1109/BDCAT.2018.00033

• Graf, Hans Daniel; Koc, Yusuf; Panighetti, Sandro; Togni, Matteo; von Grünigen, Dirk; Weilenmann, Martin; Xhoxhaj, Erland; Zürrer, Daniel; Benites de Azevedo e Souza, Fernando; Deriu, Jan Milan; Neureiter, Nico; von Däniken, Pius; Cieliebak, Mark; Eich, Walter; Neuhaus, Stephan; Stockinger, Kurt,

  2017.

  Four different ways to build a chatbot about movies [poster].

  In:

  SwissText 2017: 2nd Swiss Text Analytics Conference, Winterthur, 9. Juni 2017.

• Stadelmann, Thilo; Stockinger, Kurt; Braschler, Martin; Cieliebak, Mark; Baudinot, Gerold; Dürr, Oliver; Ruckstuhl, Andreas,

  2013.

  Applied data science in Europe : challenges for academia in keeping up with a highly demanded topic [paper].

  In:

  Proceedings of the 9th European Computer Science Summit.

  9th European Computer Science Summit, Amsterdam, Niederlande, 8-9 October 2013.

• Chen, Yaxuan; Vergara, Ana Fernandez; Hamilton, Angus; Stockinger, Kurt,

  2024.

  Digital public infrastructure for environmental sustainability.

  United Nations Environment Programme.

  ISBN 978-92-807-4157-5.

  Available from: https://doi.org/10.21256/zhaw-30874

• Stampfli, Jan; Stockinger, Kurt,

  2016.

  Applied data science : using machine learning for alarm verification : a novel alarm verification service applying various machine learning algorithms can identify false alarms.

  ERCIM News.

  107, pp. 10.

  Available from: https://doi.org/10.21256/zhaw-3785

• Stockinger, Kurt; van Lingen, Frank; Valente, Marco,

  2015.

  Big data analytics in a connected world.

  Business Intelligence Journal.

  20(2).

  Available from: https://tdwi.org/research/2015/06/business-intelligence-journal-vol-20-no-2.aspx

• Stadelmann, Thilo; Cieliebak, Mark; Stockinger, Kurt,

  2015.

  Toward automatic data curation for open data.

  ERCIM News.

  2015(100), pp. 32-33.

  Available from: https://doi.org/10.21256/zhaw-3643

• Imhof, Melanie; Looser, Jonas; Musy, Thierry; Stockinger, Kurt,

  2014.

  Evaluation of query processing with impala for mixed workloads.

  ZHAW Zürcher Hochschule für Angewandte Wissenschaften.

  Available from: https://doi.org/10.21256/zhaw-3786

• Stockinger, Kurt,

  2013.

  Data Scientists : die neuen Helden des 21. Jahrhunderts?.

  Tages-Anzeiger.

  pp. 29.

• Fankhauser, Tobias; Soler, Marc; Füchslin, Rudolf M.; Stockinger, Kurt,

  2021.

  Implementing database and machine learning algorithms on publicly available quantum computers.

  In:

  Talk at Zurich University, Zurich, Switzerland, 4 May 2021.

• Weber, Raphael; Mehmet, Yesil; Füchslin, Rudolf Marcel; Stockinger, Kurt,

  2020.

  Quantum databases and quantum machine learning : how far can we go on a publicly available quantum computer?.

  In:

  Datalab Seminar ZHAW, Winterthur, 9. September 2020.

  Available from: https://www.zhaw.ch/de/forschung/departementsuebergreifende-kooperationen/datalab/datalab-seminar/

• Breymann, Wolfgang; Stockinger, Kurt,

  2014.

  Data-driven financial system modeling (DatFisMo).

  In:

  PWC Swiss Data Week 2014, Zurich, 5-9 May 2014.

Publications before appointment at the ZHAW

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