Personal information

Knowledge Engineering & Discovery, Large Language Models, Graph-based Data Storage, Data-driven Solution Design, Reinforcement Learning for Gamification
Germany

Biography

Currently, looking for research collaboration and visits to deepen my research results about automating creative learning in data-driven solution design using NLP, LLMs, Reinforcement Learning and graph-based databases.

I am a doctoral student at the Ferdinand Steinbeis Institute and CEO of Innothenics UG. My research focus is creating, supporting, and explaining data-driven solution design by applying various data science, graph storage, and front-end techniques. Therefore, I am building tools that connect different solution components in graphs and helps to align them with business opportunity definitions. Creativity in this regard plays an exciting role, that I would like to investigate further.

Who would like to play automated, digital "lego" with me to find data-driven solutions to your business opportunity?

Activities

Employment (3)

Ferdinand Steinbeis Institute: Stuttgart, DE

2017-06 to present | Doctoral Student
Employment
Source: Self-asserted source
Daniel Burkhardt

Robert Bosch (Germany): Stuttgart, DE

2015-04 to 2017-03 | Junior Managers Program IT
Employment
Source: Self-asserted source
Daniel Burkhardt

Würth (Germany): Künzelsau, DE

2008-10 to 2011-07 | Dual Student (Information Technology )
Employment
Source: Self-asserted source
Daniel Burkhardt

Education and qualifications (3)

University of Hohenheim: Stuttgart, DE

2011-10 to 2015-01 | Master of Science (Information System )
Education
Source: Self-asserted source
Daniel Burkhardt

University of Oregon: Eugene, US

2012-07 to 2013-03 (Computer Science )
Education
Source: Self-asserted source
Daniel Burkhardt

Baden-Wuerttemberg Cooperative State University: Mosbach, DE

2008-10 to 2011-07 (Information System )
Education
Source: Self-asserted source
Daniel Burkhardt

Professional activities (3)

Ferdinand Steinbeis Institute: Stuttgart, DE

2019-01-01 to present | Research Group (Research Group Knowledge Graph and Recommender Systems)
Membership
Source: Self-asserted source
Daniel Burkhardt

Bloxberg Consortium: Munich, DE

2019-01-01 to present | Founding Member
Membership
Source: Self-asserted source
Daniel Burkhardt

Industrial IoT Consortium: Miami, US

2020-01-01 to 2023-01-01 | IIC Pattern Task Group Lead
Membership
Source: Self-asserted source
Daniel Burkhardt

Funding (3)

RegioBioMatch

2023-02 to 2024-12 | Grant
Ministerium für Ernährung, Ländlichen Raum und Verbraucherschutz Baden-Württemberg (Stuttgart, DE)
Source: Self-asserted source
Daniel Burkhardt

AIoTLab

2022-01 to 2025-12 | Grant
AI Center (Heilbronn, DE)
Source: Self-asserted source
Daniel Burkhardt

value-based AI (WeKIGo)

2021-01 to 2023-12 | Grant
Baden-Württemberg Stiftung (Stuttgart, DE)
Source: Self-asserted source
Daniel Burkhardt

Works (6)

A Model Design to evaluate Processes for Autonomization at the example of a Transportation Case

Twenty-fifth Pacific Asia Conference on Information Systems (PACIS)
2021 | Conference paper
Contributors: Daniel Burkhardt; Nico Enders; Heiner Lasi
Source: Self-asserted source
Daniel Burkhardt

A Conceptual Model of Data-Driven Solutions

Americas Conference on Information Systems
2020 | Conference paper
Contributors: Daniel Burkhardt; Heiner Lasi
Source: Self-asserted source
Daniel Burkhardt

Design Patterns based on Deep Learning analyzing Distributed Data

15th International Conference on Wirtscchaftsinformatik
2020 | Conference paper
Contributors: Daniel Burkhardt; Agyei-Kena, N; Sven Kurrle; Patrick Frey; Heiner Lasi
Source: Self-asserted source
Daniel Burkhardt

Control of Cyber-Physical Production Systems : A Concept to Increase the Trustworthiness within Multi-Agent Systems with Distributed Ledger Technology

Proceedings of Pacific Asia Conference on Information Systems (PACIS)
2019 | Conference paper
Contributors: Daniel Burkhardt; Andre Lebioda; Jens Lachnemaier
Source: Self-asserted source
Daniel Burkhardt

The Symbiosis of Distributed Ledger and Machine Learning as a Relevance for Autonomy in the Internet of Things

Proceedings of the Annual Hawaii International Conference on System Sciences
2019 | Conference paper
Part of ISSN: 2572-6862
Contributors: Daniel Burkhardt; Patrick Frey; Heiner Lasi
Source: Self-asserted source
Daniel Burkhardt

Distributed Ledger

2018 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)
2018-06 | Conference paper
Contributors: Daniel Burkhardt; Maximilian Werling; Heiner Lasi
Source: Self-asserted source
Daniel Burkhardt