Lukas Malburg, M.Sc.

Address:

University of Trier
Faculty IV
Department of Business Information Systems II
54286 Trier
Germany

Research Interests

• Industry 4.0, Internet of Things & Cyber-Physical Systems
• Case-Based Reasoning & AI Planning
• Business Process Management (BPM)

Full List of Publications 
DBLP
ORCID
ResearchGate
Google Scholar

Curriculum Vitae

Scientific and Professional Career

• since May 2021: Researcher at the German Research Center for Artificial Intelligence (DFKI), Prof. Dr. Ralph Bergmann, Branch University of Trier
• since March 2019: Research Assistant at the Department of Business Information Systems II, Prof. Dr. Ralph Bergmann, University of Trier
• February 2019: Master of Science, Business Information Systems, University of Trier
  Title of the Master Thesis: Adaptation of Scientific Workflows by Means of Process-Oriented Case-Based Reasoning (English)
• December 2016: Bachelor of Science, Business Information Systems, University of Trier
  Title of the Bachelor Thesis: Persistierung von Workflow-Graphen in eine relationale Datenbank (German)
• 2017-2019: Student Research Assistant at the Department of Business Information Systems II, Prof. Dr. Ralph Bergmann, University of Trier
• 2015-2017: Student Research Assistant at the Department of Management, Organisation, and Human Resources, Prof. Dr. Katrin Muehlfeld, University of Trier

2013-2019: Study of Business Information Systems at the University of Trier

Awards and Nominations

• Winner of the best student paper award for the paper "CBRkit: An Intuitive Case-Based Reasoning Toolkit for Python" auf der ICCBR 2024: 32nd International Conference on Case-Based Reasoning (ICCBR 2024), Mérida, Mexico, July 1–4, 2024

• "Integrating Process Management and Event Processing in Smart Factories: A Systems Architecture and Use Cases" has been linked to the United Nations (UN) Sustainable Development Goals

• Winner of the best student paper award for the paper "Improving Similarity-Based Retrieval Efficiency by Using Graphic Processing Units in Case-Based Reasoning" at FLAIRS 2021: 34th International Florida Artificial Intelligence Research Society Conference (FLAIRS 2021), North Miami Beach, Florida, USA, May 17 - 19, 2021

• Winner of the best paper award for the paper "Object Detection for Smart Factory Processes by Machine Learning" at EDI 40 2021: 4th International Conference on Emerging Data and Industry 4.0 (EDI40), Warsaw, Poland, March 23 - 26, 2021

• Nominated for the best paper award for the paper "Semantic Web Services for AI-Research with Physical Factory Simulation Models in Industry 4.0" at IN4PL 2020: 1st International Conference on Innovative Intelligent Industrial Production and Logistics, Budapest, Hungary, November 2-4, 2020

• Nominated for the best paper award for the paper "Learning Workflow Embeddings to Improve the Performance of Similarity-Based Retrieval for Process-Oriented Case-Based Reasoning" at ICCBR 2019: 27th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development, Otzenhausen, Germany, September 8-12, 2019

Teaching

Supervised Courses

• Data- and Web Mining (Summer Term 2018, Winter Term 2018-2019)
• Experience-Based Systems (Winter Term 2019-2020, 2020-2021, 2021-2022, 2022-2023, 2023-2024, 2024-2025)
• Foundations of Artificial Intelligence (Winter Term 2019-2020, 2020-2021, 2021-2022, 2022-2023, 2023-2024, 2024-2025)
• Internship Artificial Intelligence (Winter Term 2019-2020, Summer Term 2020, 2021, Winter Term 2021-2022)
• Methodology of Business Informatics I+II (Winter Term 2020-2021, Winter Term 2021-2022, Summer Term 2022, Winter Term 2022-2023, Summer Term 2023, Winter Term 2024-2025)
• Semantic Technologies (Summer Term 2020)
• Business Informatics II (Summer Term 2019)
• Scientific Working in Business Informatics (Summer Term 2019, Winter Term 2020-2021)

Supervised Theses and Projects

• Nils Lamberty (2024):
  “Automated Generation of Abstract Cases for Process-Oriented Case-Based Reasoning”
  Bachelor Thesis, First Review: Univ.-Prof. Dr. Ralph Bergmann
• Florian Brand (2024):
  “Modeling and Acquiring Knowledge with Large Language Models — A Study in the Cyber-Physical Domain”
  Master Thesis, First Review: Univ.-Prof. Dr. Ralph Bergmann
• Kokulan Thanabalan (2024):
  “Information Extraction from PDF Documents: A Practical Approach with ChatGPT”
  Master Thesis, First Review: apl. Prof. Dr. Axel Kalenborn
• Maxim Hotz (2023):
  “Generation of Adaptation Rules based on Adaptation Methods in Process-Oriented Case-Based Reasoning”
  Bachelor Thesis, First Review: Univ.-Prof. Dr. Ralph Bergmann
• Paul Heisterkamp (2023):
  “Combining Object Detection and Informed Learning to Enhance Cyber-Physical Systems”
  Master Thesis, First Review: Univ.-Prof. Dr. Ralph Bergmann
• Alexander Schultheis (2022):
  “Erklärung von Ähnlichkeiten im Prozessorientierten Fallbasierten Schließen durch Visualisierungen”
  Master Thesis, First Review: Univ.-Prof. Dr. Ralph Bergmann
• Florian Brand (2022):
  “Adaptation Methods for Cyber-Physical Manufacturing Workflows using Process-Oriented Case-Based Reasoning”
  Bachelor Thesis, First Review: Univ.-Prof. Dr. Ralph Bergmann
• Markus Gierenz (2021):
  “Künstliche Intelligenz in einer Webanwendung”
  Master Thesis, First Review: apl. Prof. Dr. Axel Kalenborn
• Nico Bach (2021):
  “Using Graphic Processing Units for A*-Based Similarity Assessment in Process-Oriented Case-Based Reasoning”
  Bachelor Thesis, First Review: Univ.-Prof. Dr. Ralph Bergmann
• Marcel Mischo (2020):
  “Konzeption und Umsetzung einer Dashboard-Software zur Visualisierung von Datenströmen einer Industrie 4.0 Fabriksimulation auf Basis einer Ontologie”
  Master Thesis, First Review: Univ.-Prof. Dr. Ralph Bergmann
• Paul Heisterkamp (2020):
  “Automatisierung der Leistungserfassung im Handwerk mit Methoden der KI”
  Bachelor Thesis, First Review: apl. Prof. Dr. Axel Kalenborn
• Manfred-Peter Rieder (2020):
  “Bildbasierte Objekterkennung in der Fischertechnik-Modellanlage zum Tracking von Werkstücken in Produktionsumgebungen”
  Master Thesis, First Review: Univ.-Prof. Dr. Ralph Bergmann
• Simon Trumm (2020):
  “Using Graphics Processing Units for Similarity-Based Retrieval in Case-Based Reasoning”
  Master Thesis, First Review: Univ.-Prof. Dr. Ralph Bergmann
• Maximilian Hoffmann (2020):
  “Using Graph Embedding Models for Similarity-Based Retrieval in Process-Oriented Case-Based Reasoning”
  Master Thesis, First Review: Univ.-Prof. Dr. Ralph Bergmann

Conference Organization

• EDI 40 2025: 8th International Conference on Emerging Data and Industry 4.0 (Member of the Program Committee)
   
• KI 2025: Advances in Artificial Intelligence: 48th German Conference on AI (Member of the Program Committee)
   
• AI4DT&CP at IJCAI 2024: 2nd Workshop on AI for Digital Twins and Cyber-Physical Applications co-located with the 33rd International Joint Conference on Artificial Intelligence (Member of the Program Committee)
   
• BEAR at ICCBR 2024: Workshop on Beyond Attribute-Value Case Representation co-located with the International Conference on Case-Based Reasoning (Co-Organizer)
   
• CBR-LLM at ICCBR 2024: Workshop on Case-Based Reasoning and Large Language Model Synergies co-located with the International Conference on Case-Based Reasoning (Co-Organizer)
   
• Case-Based Agents at ICCBR 2024: Workshop on Case-Based Agents co-located with the International Conference on Case-Based Reasoning (Co-Organizer)
   
• KI 2024: Advances in Artificial Intelligence: 47th German Conference on AI (Member of the Program Committee)
   
• ICCBR 2024: 32nd International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development (Member of the Program Committee)
   
• AAAI-MAKE 2024: Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge (Member of the Program Committee)
   
• ICCBR 2024: 32nd International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development (Workshop Chair)
   
• EDI 40 2024: 7th International Conference on Emerging Data and Industry 4.0 (Member of the Program Committee)
   
• ICCBR 2023: 31st International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development (Member of the Program Committee)
   
• ICCBR 2023: 31st International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development (Co-Workshop Chair)
   
• BEAR at ICCBR 2023: Workshop on Beyond Attribute-Value Case Representation co-located with the International Conference on Case-Based Reasoning (Co-Organizer)
   
• KI 2023: Advances in Artificial Intelligence: 46th German Conference on AI (Member of the Program Committee)
   
• EDI 40 2023: 6th International Conference on Emerging Data and Industry 4.0 (Member of the Program Committee)
   
• KI 2022: Advances in Artificial Intelligence: 45th German Conference on AI (Co-Local Chair)
   
• EDI 40 2022: 5th International Conference on Emerging Data and Industry 4.0 (Member of the Program Committee)
   
• AAAI-MAKE 2022: Machine Learning and Knowledge Engineering for Hybrid Intelligence (Member of the Program Committee)

Invited Talks

• "Deep Learning Applications for Flexible Processes in Industry 4.0"
  DFG-SPP1962 Young Researchers’ Workshop on Deep Learning, University of Duisburg-Essen, 2023

Reviewer for Conferences, Workshops, and Journals

• AAAI-MAKE 2024: Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge, AAAI Spring Symposium, Stanford University, California, March 25 – 27, 2024
   
• EDI40 2024: 7th International Conference on Emerging Data and Industry 4.0, Hasselt, Belgium, April 23 – 25, 2024
   
• WI 2023: 18th International Conference on Business Informatics, Paderborn, Germany, September 18 – 21, 2023
   
• FLAIRS 2023: 36th International Florida Artificial Intelligence Research Society Conference, Clearwater Beach, Florida, USA, May 14 – 17, 2023
   
• EDI40 2023: 6th International Conference on Emerging Data and Industry 4.0, Leuven, Belgium, March 15 – 17, 2023
   
• ICCBR 2022: 30th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development, Nancy, France, September 12 – 15, 2022
   
• FLAIRS 2022: 35th International Florida Artificial Intelligence Research Society Conference, Jensen Beach, Florida, USA, May 15 – 18, 2022
   
• EDI40 2022: 5th International Conference on Emerging Data and Industry 4.0, Porto, Portugal, March 22 – 25, 2022
   
• AAAI-MAKE 2022: Machine Learning and Knowledge Engineering for Hybrid Intelligence, AAAI Spring Symposium, Stanford University, Palo Alto, California, March 21–23, 2022
   
• KI 2021: Advances in Artificial Intelligence: 44th German Conference on AI, Berlin, Germany, September 27 – October 1, 2021
   
• ICCBR 2021: 29th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development, Salamanca, Spain, September 13 – 16, 2021
   
• DESRIST 2021: 16th International Conference on Design Science Research in Information Systems and Technology, Kristiansand, Norway, August 4 – 6, 2021
   
• FLAIRS 2021: 34th International Florida Artificial Intelligence Research Society Conference, North Miami Beach, Florida, USA, May 16 – 19, 2021
   
• AAAI-MAKE 2021: Combining Machine Learning and Knowledge Engineering, Virtual AAAI Spring Symposium, March 22 – 24, 2021
   
• ICCBR 2020: 28th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development, Salamanca, Spain, June 8 – 12, 2020
   
• LWDA 2020: Learning, Knowledge, Data, Analytics, Bonn, Germany, September 9 – 11, 2020
   
• KI 2020: Advances in Artificial Intelligence: 43rd German Conference on AI, Bamberg, Germany, September 21 – 25, 2020
   
• ICCBR 2019: 27th International Conference on Case-Based Reasoning: Case-Based Reasoning Research and Development, Otzenhausen, Germany, September 8 – 12, 2019
   
• KI 2019: Advances in Artificial Intelligence: 42nd German Conference on AI, Kassel, Germany, September 23 – 26, 2019
   
• ACM Journal on Transactions on Knowledge Discovery from Data (TKDD), 2023 – 2024
   
• HMD Praxis der Wirtschaftsinformatik (HMDW), 2024