since 09/2020 |
Machine Learning Engineer / Data Scientist Provinzial Versicherung AG
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03/2016 – 08/2020 |
Research Assistant Group for Data Science: Statistics and Optimization at the University of Münster, Germany
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03/2016 – 02/2019 |
Data Scientist ERCIS Omni-Channel Lab — powered by Arvato
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2017 |
Lecturer Data Science certificate programme at the Münster University Continuing Education (WWU Weiterbildung gGmbH)
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01/2016 – 02/2016 |
Graduate Student Assistant Group for Data Science: Statistics and Optimization at the University of Münster, Germany
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04/2014 – 12/2015 |
Graduate Student Assistant IT Security Group at the University of Münster, Germany
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11/2012 – 03/2014 |
Student Assistant Information Systems and Information Management Group at the University of Münster, Germany
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03/2016 – 01/2020 |
Doctorate (Dr. rer. pol.) Doctoral candidate in Information Systems at the University of Münster, Germany. Thesis: "Machine Learning on Data Streams — Improving the Applicability and Performance of Stream Clustering Algorithms" [News Article] [News Article] [News Article] [News Article] [News Article] [News Article] [News Article] |
10/2013 – 09/2015 |
Master of Science Master studies in Information Systems at the University of Münster, Germany
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10/2010 – 09/2013 |
Bachelor of Science Bachelor studies in Information Systems at the University of Münster, Germany
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May 2020 | 14th Learning and Intelligent Optimization Conference (LION 2020) in Athens, Greece |
September 2019 | European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD ’19) in Würzburg, Germany |
July 2019 | 21st IEEE Conference on Business Informatics (CBI ’19) in Moscow, Russia, Best Paper Award |
April 2019 | 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD ’19) in Macau, China |
February 2019 | Visiting scholar at the University of Waikato in Hamilton, New Zealand, Marie Skłodowska-Curie Fellowship |
January 2019 | Visiting scholar at the Queensland University of Technology in Brisbane, Australia, Marie Skłodowska-Curie Fellowship |
July 2018 | 1st Metaheuristics Summer School (MESS) in Sicily, Italy |
November 2017 | 36th International Conference on Conceptual Modeling (ER ’17) in Valencia, Spain |
August 2017 | German-Brazilian Workshop on Information Systems in Logistics and Production Engineering in Recife, Brazil |
May 2017 | ACM International Conference on Computing Frontiers (CF ’17) in Siena, Italy |
March 2017 | 17th Conference on Database Systems for Business, Technology, and Web (BTW ’17) in Stuttgart, Germany |
9th International Conference on Evolutionary Multi-Criterion Optimization (EMO ’17) in Münster, Germany | |
June 2016 | 11th Madrid UPM Advanced Statistics and Data Mining Summer School in Madrid, Spain |
Februrary 2016 |
IS&T Electronic Imaging: Media Watermarking, Security, and Forensics (EI ’16) in San Francisco, USA
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November 2015 | 7th IEEE International Workshop on Information Forensics and Security (WIFS ’15) in Rome, Italy |
June 2014 | 2nd ACM Workshop on Information Hiding and Multimedia Security (IH & MMSec ’14) in Salzburg, Austria |
@inproceedings{LION20, author = {Matthias Carnein AND Heike Trautmann AND Albert Bifet AND Bernhard Pfahringer}, editor = {Kotsireas, Ilias S. AND Pardalos, Panos M.}, title = {confStream: Automated Algorithm Selection and Configuration of Stream Clustering Algorithms}, booktitle = {14th Learning and Intelligent Optimization Conference (LION 2020)}, publisher = {Springer International Publishing}, year = {2020}, pages = {80--95} }
@phdthesis{Dissertation, author = {Matthias Carnein}, title = {Machine Learning on Data Streams --- Improving the Applicability and Performance of Stream Clustering Algorithms}, school = {University of Münster}, year = {2020} }
@inproceedings{ECMLPKDD19, author = {Matthias Carnein and Heike Trautmann and Albert Bifet and Bernhard Pfahringer}, editor = {Cellier, Peggy and Driessens, Kurt}, title = {Towards Automated Configuration of Stream Clustering Algorithms}, booktitle = {Workshop on Automated Data Science at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD '19)}, publisher = {Springer International Publishing}, year = {2020}, pages = {137--143}, doi = {10.1007/978-3-030-43823-4_12} }
@inproceedings{CBI19, author = {Matthias Carnein and Leschek Homann and Heike Trautmann and Gottfried Vossen}, title = {A Recommender System Based on Omni-Channel Customer Data}, booktitle = {Proceedings of the 21st IEEE International Conference on Business Informatics (CBI '19)}, year = {2019}, pages = {65--74}, doi = {10.1109/cbi.2019.00015} }
@inproceedings{PAKDD19, author = {Matthias Carnein and Heike Trautmann}, editor = {Yang, Qiang and Zhou, Zhi-Hua and Gong, Zhiguo and Zhang, Min-Ling and Huang, Sheng-Jun}, title = {Customer Segmentation Based on Transactional Data Using Stream Clustering}, booktitle = {Proceedings of the 23rd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD '19)}, publisher = {Springer International Publishing}, year = {2019}, pages = {280--292}, doi = {10.1007/978-3-030-16148-4_22} }
@article{BISE19, author = {Matthias Carnein and Heike Trautmann}, title = {Optimizing Data Stream Representation: An Extensive Survey on Stream Clustering Algorithms}, journal = {Business & Information Systems Engineering (BISE)}, year = {2019}, volume = {61}, pages = {277--297}, doi = {10.1007/s12599-019-00576-5} }
@article{BDR18, author = {Matthias Carnein and Heike Trautmann}, title = {evoStream --- Evolutionary Stream Clustering Utilizing Idle Times}, journal = {Big Data Research}, year = {2018}, volume = {14}, pages = {101 -- 111}, doi = {10.1016/j.bdr.2018.05.005} }
@inproceedings{ER17Twitch, author = {Carnein, Matthias and Assenmacher, Dennis and Trautmann, Heike}, title = {Stream Clustering of Chat Messages with Applications to Twitch Streams}, booktitle = {Proceedings of the 36th International Conference on Conceptual Modeling (ER '17)}, publisher = {Springer International Publishing}, year = {2017}, pages = {79--88}, doi = {10.1007/978-3-319-70625-2_8} }
@inproceedings{ER17Omni, author = {Carnein, Matthias and Heuchert, Markus and Homann, Leschek and Trautmann, Heike and Vossen, Gottfried and Becker, Jörg and Kraume, Karsten}, title = {Towards Efficient and Informative Omni-Channel Customer Relationship Management}, booktitle = {Proceedings of the 36th International Conference on Conceptual Modeling (ER '17)}, publisher = {Springer International Publishing}, year = {2017}, pages = {69--78}, doi = {10.1007/978-3-319-70625-2_7} }
@inproceedings{CF17, author = {Matthias Carnein and Dennis Assenmacher and Heike Trautmann}, title = {An Empirical Comparison of Stream Clustering Algorithms}, booktitle = {Proceedings of the ACM International Conference on Computing Frontiers (CF '17)}, publisher = {ACM}, year = {2017}, pages = {361 -- 365}, doi = {10.1145/3075564.3078887} }
@inproceedings{BTW17, author = {Matthias Carnein and Leschek Homann and Heike Trautmann and Gottfried Vossen and Karsten Kraume}, editor = {Mitschang, Bernhard AND Nicklas, Daniela AND Leymann, Frank AND Schöning, Harald AND Herschel, Melanie AND Teubner, Jens AND Härder, Theo AND Kopp, Oliver AND Wieland, Matthias}, title = {Customer Service in Social Media: An Empirical Study of the Airline Industry}, booktitle = {Proceedings of the 17th Conference on Database Systems for Business, Technology, and Web (BTW '17)}, publisher = {Gesellschaft für Informatik e.V.}, year = {2017}, pages = {33--40} }
@TechReport{ERCISWP17, author = {Heike Trautmann and Gottfried Vossen and Leschek Homann and Matthias Carnein and Karsten Kraume}, title = {Challenges of Data Management and Analytics in Omni-Channel CRM}, institution = {European Research Center for Information Systems}, year = {2017}, address = {Münster, Germany}, editor = {Jörg Becker and Klaus Backhaus and Martin Dugas and Bernd Hellingrath and Thomas Hoeren and Stefan Klein and Herbert Kuchen and Heike Trautmann and Gottfried Vossen}, series = {ERCIS Working Papers}, volume = {28}, }
@InProceedings{EI16, author = {Matthias Carnein and Pascal Schöttle and Rainer Böhme}, title = {Telltale Watermarks for Counting JPEG Compressions}, booktitle = {Proceedings of IS\&T Electronic Imaging: Media Watermarking, Security, and Forensics (EI’16)}, year = {2016}, number = {8}, location = {San Francisco, CA}, pages = {1--10}, doi = {10.2352/ISSN.2470-1173.2016.8.MWSF-072}, issn = {2470-1173}, }
@InProceedings{WIFS15, author = {Matthias Carnein and Pascal Schöttle and Rainer Böhme}, title = {Forensics of High-Quality JPEG Images with Color Subsampling}, booktitle = {Proceedings of the 7th IEEE International Workshop on Information Forensics and Security (WIFS '15)}, year = {2015}, publisher = {IEEE}, location = {Rome, Italy}, month = {11}, pages = {1--6}, doi = {10.1109/WIFS.2015.7368556}, }
@InProceedings{IH14, author = {Matthias Carnein and Pascal Schöttle and Rainer Böhme}, title = {Predictable Rain? Steganalysis of Public-key Steganography Using Wet Paper Codes}, booktitle = {Proceedings of the 2nd ACM Workshop on Information Hiding and Multimedia Security (IH \& MMSec '14)}, year = {2014}, publisher = {ACM}, location = {Salzburg, Austria}, isbn = {978-1-4503-2647-6}, pages = {97--108}, doi = {10.1145/2600918.2600942}, }
@InProceedings{IRIS14, author = {Matthias Carnein and Erwin Quiring and Andreas Haack and Andreas Möhring and Jörg Becker}, title = {Laiengerechte Erzeugung von 3D-Animationen am Beispiel von textuellen Unfallbeschreibungen}, booktitle = {Proceedings of the 17th International Legal Informatics Symposium (IRIS '14)}, year = {2014}, pages = {473--480}, url = {http://jusletter-it.weblaw.ch/issues/2014/IRIS/2544.html}, address = {Salzburg, Austria}, }