Deborah Mateja

Research – Machine Learning – Creativity

published research

AnimateSVG: Autonomous Creation and Aesthetics Evaluation of Scalable Vector Graphics Animations for the Case of Brand Logos

Deborah Mateja, Rebecca Armbruster, Jonathan Baumert, Tim Bleil, Jakob Langenbahn, Jan Schwedhelm, Sarah Sester, Armin Heinzl: Forthcoming IAAI-2023. 

Computergestützte Kreativität

Deborah Mateja, Armin Heinzl: Handbuch Digitalisierung, 2022.

Towards Machine Learning as an Enabler of Computational Creativity

Deborah Mateja, Armin Heinzl: IEEE Transactions on  Artificial Intelligence 2 (6), 460-47, 2021.

Socio-behavioral Elements in Data-driven Requirements Engineering: The Case of Enterprise Cloud Software

Philipp Hoffmann, Deborah Mateja, Kai Spohrer, Armin Heinzl: ECIS Proceedings, 2020. 

Bridging the Vendor-User Gap in Enterprise Cloud Software Development through Data-driven Requirements Engineering 

Philipp Hoffmann, Deborah Mateja, Kai Spohrer, Armin Heinzl: ICIS Proceedings, 2019. 

invited talks

Ministry for Schools and Education of the State of North Rhine Westphalia, Bezirksregierung NRW, 2023:  Die Welt der Generativen Künstlichen Intelligenz (engl. The World of Generative Artificial Intelligence)

People and Culture @ Bosch, 2023: Exploring the World of Generative Artificial Intelligence

Berufsbildendeschule Ludwigshafen, 2023: Künstliche Intelligenz (engl. Artificial Intelligence)

International Conference on Information Systems - Doctoral Consortium, 2022: Human-Machine Creativity

Hightech Summit, 2021: LogoAI (a project of the ‘KI-Innovationswettbewerb BW’ for the development of artificial intelligence for innovation products and services)

Data & Web Science Group of the University of Mannheim, Research Colloquium, 2021: Machine Learning as an Enabler of Computational Creativity

funded research projects


a project dedicated to creating an AI-based system for autonomous design; funded by KI-Innovationswettbewerb Baden-Württemberg


a project dedicated to creating an overarching ecosystem of Cloud service providers and users; funded by the State of Baden-Württemberg

work experience

09/2016 – 09/2019 SAP – Analytics & Insight Consulting

Conceptualisation, roll out, and content-related accompaniment of global trainings for SAP data science solutions (including SAP Analytics Cloud and SAP Predictive Analytics)

07/2017 – 09/2017 McKinsey & Company 

Reconfiguration of sales and compensation structure for a leading European insurance company

10/2013 – 05/2016 Trainee Program @ SAP SE

Assignments in Business Transformation Services, Big Data & Cloud Analytics Consulting, HANA Services and others across multiple locations (including Walldorf, Palo Alto, Hamburg)


M.Sc. Business Informatics

University of Mannheim

Specialisation in data & web science; award for best master degree; FWI science award for master thesis 

B.Sc. Business Informatics

Baden-Württemberg Cooperative State University Mannheim; top 10% graduate



Master Semester abroad in Seoul

Bachelor Internship in Palo Alto, CA

High School Year abroad in Honolulu, HI



I learned classical piano and now fuse in my classical roots within electronic music productions. 



I love all things outdoor, especially hiking and skiing.



As I deeply value learning, I involve in teaching kids reading, english, latin, and maths.