Timo Sturm, M.Sc.

Timo Sturm M.Sc.

Timo Sturm Image

Research Associate

Hochschulstraße 1
64289 Darmstadt

Office: S1|02 237a

+49 6151 16-24335
+49 6151 16-24335


Links

Research Interests

  • Artificial Intelligence in the Business Context
  • Data Science and Machine Learning
  • Data-driven Innovation and Ideation Processes

Consultation Hour

on appointment

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Curriculum Vitae

since 05/2019 PhD Candidate and Research Associate at the Chair of Information Systems | Software & Digital Business at the Technical University of Darmstadt
03/2018 – 02/2019 Working Student (SAP Digital Business Services – Automotive & Manufacturing: IoT & Machine Learning Consulting) at SAP Deutschland SE & Co. KG, Walldorf
07/2017 – 02/2018 Research Assistant at the Chair of General Management and Information Systems at the University of Mannheim in Cooperation with the University Medical Center Mannheim
01/2017 – 12/2017 Working Student (Data Science Team of SAP Predictive Maintenance & Service) at SAP SE, Walldorf
08/2016 – 12/2016 Working Student (Big Data & Analytics Consulting) at SAP Deutschland SE & Co. KG, Walldorf
08/2016 – 04/2019 Master in Information Systems (Track: Data & Web Science) at the University of Mannheim
03/2016 – 08/2016 Intern (Big Data & Analytics Consulting) at SAP America, Inc., Palo Alto, USA
08/2015 – 12/2015 Bachelor Thesis Student at ATVISIO Consult GmbH, Kaiserslautern
10/2013 – 08/2015 Working Student (Innovation Application Development) at SAP SE, Walldorf
10/2012 – 02/2016 Bachelor in Information Systems at the Technical University of Darmstadt

Publications

Sturm, Timo ; Gerlach, Jin ; Pumplun, Luisa ; Mesbah, Neda ; Peters, Felix ; Tauchert, Christoph ; Nan, Ning ; Buxmann, Peter (2021):
Coordinating Human and Machine Learning for Effective Organizational Learning.
In: MIS Quarterly, 45 (3), S. 1581-1602. DOI: 10.25300/MISQ/2021/16543,
[Article]

Sturm, Timo ; Fecho, Mariska ; Buxmann, Peter (2021):
To Use or Not to Use Artificial Intelligence? A Framework for the Ideation and Evaluation of Problems to Be Solved with Artificial Intelligence.
In: Proceedings of the 54th Hawaii International Conference on System Sciences, S. 206-215,
54th Hawaii International Conference on System Sciences, virtual Conference, 05. - 08.01. 2021, [Konferenzveröffentlichung]

Sturm, Timo ; Koppe, Timo ; Scholz, Yven ; Buxmann, Peter (2021):
The Case of Human-Machine Trading as Bilateral Organizational Learning.
International Conference on Information Systems (ICIS), Austin, TX, USA, Dec 12-15, 2021, [Konferenzveröffentlichung]

Sturm, Timo ; Krupitzer, Christian ; Segata, Michele ; Becker, Christian (2021):
A Taxonomy of Optimization Factors for Platooning.
In: IEEE Transactions on Intelligent Transportation Systems, 22 (10), S. 6097-6114. ISSN 1524-9050, e-ISSN 1558-0016,
DOI: 10.1109/TITS.2020.2994537,
[Article]

Sturm, Timo ; Peters, Felix (2020):
The Impact of Artificial Intelligence on Individual Performance: Exploring the Fit between Task, Data, and Technology.
In: European Conference on Information Systems (ECIS), A Virtual AIS Conference, June 15-17, 2020, [Konferenzveröffentlichung]

Gawlitza, Joshua ; Sturm, Timo ; Spohrer, Kai ; Henzler, Thomas ; Akin, Ibrahim ; Schönberg, Stefan ; Borggrefe, Martin ; Haubenreisser, Holger ; Trinkmann, Frederik (2019):
Predicting Pulmonary Function Testing from Quantified Computed Tomography Using Machine Learning Algorithms in Patients with COPD.
In: Diagnostics, 9 (1), S. 33. ISSN 2075-4418,
DOI: 10.3390/diagnostics9010033,
[Article]

Krupitzer, Christian ; Drechsel, Guido ; Mateja, Deborah ; Pollklasener, Alina ; Schrage, Florian ; Sturm, Timo ; Tomasovic, Aleksandar ; Becker, Christian (2018):
Using Spreadsheet-defined Rules for Reasoning in Self-Adaptive Systems.
2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), Athens, Greece, DOI: 10.1109/PERCOMW.2018.8480283,
[Konferenzveröffentlichung]

go to TU-biblio search on ULB website

Scholarships & Awards

01/2022 VHB Best Paper Award 2022 Nominee (Article: Sturm et al. (2021): “Coordinating Human and Machine Learning for Effective Organizational Learning,” MIS Quarterly (45:3), pp. 1581-1602)
12/2021 Best Student Paper 2021 on Information Systems, Innovation, and Entrepreneurship in the Track “AI in Business and Society”, and Kauffmann Best Student Paper Award 2021 Nominee at the International Conference on Information Systems 2021 (Article: Sturm et al. (2021): “The Case of Human-Machine Trading as Bilateral Organizational Learning,” ICIS 2021 Proceedings)
11/2019 Master's degree with distinction; Best graduate in Business Informatics 2019 at the University of Mannheim
02/2016 Top 10% graduate in the Bachelor's program in Business Informatics (between 2013 and 2016) at the Technical University of Darmstadt
10/2014 – 09/2015 Germany Scholarship 2014 (Deutschlandstipendium)
10/2013 – 09/2014 Germany Scholarship 2013 (Deutschlandstipendium)
Since 10/2013 SAP FastTrack Program

Teaching

from WS 2019/2020
and SS 2020
(annual cycle)
Instructor of the module “Artificial Intelligence: Algorithms and Application” including the following courses:
  • WS: “Artificial Intelligence: Basics of Algorithms and Application”
  • SS: “Artificial Intelligence: Advanced Topics in Algorithms and Application”
SS 2019 Course Instructor of “Digital Business”
(formerly: “Information Management”)
since SS 2019 Advisor of various student theses
(focus on Artificial Intelligence, Data Science, and Machine Learning)

Theses

upon request

Note: You are also welcome to suggest your own topics, as long as they fall within my research interests listed above. In this case, please send me a 1-2-page exposé and a current transcript of records. Please consult our official requirements: more information.

Talks & Presentations (Excerpt)

02/2022 “How Machine Learning Shapes Organizational Learning”, Brown Bag Seminar, University of Passau
12/2021 The Case of Human-Machine Trading as Bilateral Organizational Learning”, International Conference on Information Systems 2021, Austin, TX, USA
11/2021 “Hybrid intelligence and services: Opportunities for Human and AI Collaboration”, Google DevFest, virtual Event
09/2021 Coordinating Human and Machine Learning for Effective Organizational Learning”, MIS Quarterly Showcase “Managing AI”, virtual Event of the Questrom School of Business, Boston University and MIS Quarterly
06/2021 “Analytics for a Sustainable Society: Simulation Research”, Seminar on Simulations, virtual Event of the University of Cologne
06/2021 “Artificial Intelligence & Machine Learning as the Most Important General-Purpose Technology of the 21st Century”, Keynote at the Software Forums Leipzig 2021, virtual Event
05/2021 “A Framework for the Ideation and Evaluation of Problems to be Solved with Artificial Intelligence”, virtual Event of the Johannes Gutenberg University Mainz
06/2020 “The Impact of Artificial Intelligence on Individual Performance: Exploring the Fit Between Task, Data, and Technology”, European Conference on Information Systems, virtual Conference