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
LogoAI
a project dedicated to creating an AI-based system for autonomous design; funded by KI-Innovationswettbewerb Baden-Württemberg
CloudMall
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)
education
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
International:
Master Semester abroad in Seoul.
Bachelor Internship in Palo Alto, CA.
High School Year abroad in Honolulu, HI.
private
music.
I learned classical piano and now fuse in my classical roots within electronic music productions.
nature.
I love all things outdoor, especially hiking and skiing.
teaching.
As I deeply value learning, I involve in teaching kids reading, english, latin, and maths.