Deutsch Intern
Lehrstuhl für Wirtschaftsinformatik und Business Analytics

Nikolai Stein

Kurzlebenslauf

  • seit 02/2020 Akademischer Rat am Lehrstuhl für Wirtschaftsinformatik und Business Analytics der Julius-Maximilians-Universität Würzburg
  • 12/2019 Abschluss der Promotion (mit Auszeichnung), Dissertation "Advanced Analytics in Operations Management and Information Systems: Methods and Applications", Julius-Maximilians-Universität Würzburg, Fakultät für Wirtschaftswissenschaften
  • 05/2015 - 01/2020 Wissenschaftlicher Mitarbeiter am Lehrstuhl für Wirtschaftsinformatik und Informationsmanagement der Julius-Maximilians-Universität Würzburg
  • 09/2015 Abschluss des Master Studiums (Wirtschaftsinformatik M. Sc.)
  • 12/2013 Abschluss des Bachelor Studiums (Wirtschaftswissenschaften B. Sc.)

 

Publikationen

Zitationsstatistiken zu meinen Publikationen finden Sie auf Researchgate und Google Scholar.

  • Greif, Toni ; Stein, Nikolai ; Flath, Christoph M.: Information Value Analysis for Real-time Silo Fill-level Monitoring. In: INFORMS Journal on Applied Analytics Bd. 53 (2023), Nr. 4, S. 283–294
  • Elbert, Nico ; Paskovski, Emil ; Stein, Nikolai ; Flath, Christoph M.: The Layers of Change: Multilevel Adaptations to Exogenous Game Patches in CS: GO.. In: IEEE Conference on Games (CoG), 2023
  • Elbert, Nico ; Stein, Nikolai ; Flath, Christoph M.: Process and Strategy Mining in Real-Time Strategy Games.. In: Wirtschaftsinformatik Proceedings, 2023
  • Oberdorf, Felix ; Schaschek, Myriam ; Weinzierl, Sven ; Stein, Nikolai ; Matzner, Martin ; Flath, Christoph M.: Predictive End-to-End Enterprise Process Network Monitoring. In: Business & Information Systems Engineering (2022)
  • Stahl, Christina ; Stein, Nikolai ; Flath, Christoph M.: Analytics Applications in Fashion Supply Chain Management - A Review of Literature and Practice. In: IEEE Transactions on Engineering Management (2021)
  • Oberdorf, Felix ; Stein, Nikolai ; Flath, Christoph M.: Analytics-enabled escalation management: System development and business value assessment. In: Computers in Industry (2021)
  • Seubert, Franz ; Stein, Nikolai ; Taigel, Fabian ; Winkelmann, Axel: Making the Newsvendor Smart – Order Quantity Optimization with ANNs for a Bakery Chain.. In: Proceeding of the 26th Americas Conference on Information Systems (AMCIS), 2020
  • Stein, Nikolai ; Oberdorf, Felix ; Pirner, Jonas: Convolutional Neural Networks for Survey Response Classification.. In: Proceedings of the 26th Americas Conference on Information Systems (AMCIS), 2020
  • Oberdorf, Felix ; Stein, Nikolai ; Walk, Nicolas ; Griebel, Matthias ; Flath, Christoph M.: ADR for Big-Data IT Artifact Development: An Escalation Management Example.. In: Proceedings of the 41st International Conference on Information Systems (ICIS), 2020
  • Segebarth, Dennis ; Griebel, Matthias ; Stein, Nikolai ; von Collenberg, Cora R ; Martin, Corinna ; Fiedler, Dominik ; Comeras, Lucas B ; Sah, Anupam ; u. a.: On the objectivity, reliability, and validity of deep learning enabled bioimage analyses. In: eLife (2020)
  • Greif, Toni ; Stein, Nikolai ; Flath, Christoph. M.: Peeking into the Void: Digital Twins for Construction Site Logistics. In: Computers in Industry Bd. 121 (2020)
  • Greif, Toni ; Stein, Nikolai ; Flath, Christoph M.: Support Your Local: IS-Based Collaborative Delivery Service for Urban Communities.. In: Proceedings of the 41st International Conference on Information Systems (ICIS), 2020
  • Oberdorf, Felix ; Stein, Nikolai ; Flath, Christoph M.: Data-Driven Cycling Policy Guidance using GIS.. In: Proceedings of the 41st International Conference on Information Systems (ICIS), 2020
  • Krenzer, Adrian ; Stein, Nikolai ; Griebel, Matthias ; Flath, Christoph M.: Augmented Intelligence for Quality Control of Manual Assembly Processes using Industrial Wearable Systems.. In: Proceedings of the 40th International Conference on Information Systems (ICIS), 2019
  • Stein, Nikolai ; Walter, Benedikt ; Flath, Christoph M.: Towards Open Production: Designing a marketplace for 3D-printing capacities.. In: Proceedings of the 40th International Conference on Information Systems (ICIS), 2019
  • Griebel, Matthias ; Dürr, Alexander ; Stein, Nikolai: Applied image recognition: guidelines for using deep learning models in practice.. In: Proceedings of the 14th International Conference on Wirtschaftsinformatik, 2019, S. 393–406
  • Flath, Christoph M. ; Stein, Nikolai: Towards a Data Science Toolbox for Industrial Analytics Applications. In: Computers in Industry Bd. 94 (2018), S. 16–25
  • Stein, Nikolai ; Meller, Jan ; Flath, Christoph M.: Big Data on the Shop-floor: Towards Sensor-Based Decision-Support for Manual Processes. In: Journal of Business Economics Bd. 88 (2018), S. 593–616
  • Stein, Nikolai ; Flath, Christoph M. ; Boehm, Carsten: Predictive Analytics for Application Management Services.. In: Proceedings of the 26th European Conference on Information Systems, 2018
  • Stein, Nikolai ; Flath, Christoph M.: Applying data science for shop-floor performance prediction.. In: Proceedings of the European Conference on Information Systems, 2017
  • Rappel, Niklas ; Stein, Nikolai ; Flath, Christoph M.: Dynamic Intrusion Detection in Database Systems: A Machine-Learning Approach.. In: Proceedings of the International Conference on Information Systems. Dublin, Ireland, 2016
  • Stein, Nikolai ; Flath, Christoph M.: Decision Support for Group-based Electricity Prices in Smart Grids.. In: Proceedings of the Americas Conference on Information Systems. San Diego, CA, USA, 2016