Expertise


Through my profound project experience in the fields of artificial intelligence, digitalisation of business processes and software engineering, I have gained comprehensive expertise in a broad range of methodologies and tools of the information systems discipline. Moreover, I typically follow an agile project management and software development methodology in combination with design science research to join practice and research.

Presentations & Talks
BibBase martin, a
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  2024 (2)
Semantic Verification in Large Language Model-based Retrieval Augmented Generation. Martin, A.; Witschel, H. F.; Mandl, M.; and Stockhecke, M. March 2024.
Semantic Verification in Large Language Model-based Retrieval Augmented Generation [link]Paper   doi   link   bibtex  
Reflections on GenAI & LLMs - IBM Watsonx GenAI Challenge 2024. Martin, A. April 2024.
Reflections on GenAI & LLMs - IBM Watsonx GenAI Challenge 2024 [link]Paper   doi   link   bibtex  

Project Management & Principal Investigator
RepoChat - a document-based dialogue system
2024 – 2026
HNW Project | Funded by the Innosuisse IP-ICT

In the RepoChat project, a dialogue system with a large language model / LLM, retrieval mechanism and knowledge graph is to be researched and implemented, which should enable the addressee-oriented accessibility of Nagra reports via a chat interface and make statements verifiable.

Researching Intelligent Chatbots as Healthcare Coaches
2022 – 2025
FHNW Project | Funded by the Swiss National Science Foundation (SNSF) – SPIRIT funding instrument

The aim of the research project is to demonstrate the positive health effect of the use of an intelligent health chatbot by young Nigerian adults living with HIV. In addition to the FHNW, the Faculty of Public Health Department of Health University of Ibadan and the Department of Epidemiology and Public Health Swiss Tropical and Public Health Institute are project partners.

AAAI-MAKE 2024: Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge
2024
Association for the Advancement of Artificial Intelligence (AAAI)

Chair and member of the symposium organizing committee of the AAAI 2024 Spring Symposium on Empowering Machine Learning and Large Language Models with Domain and Commonsense Knowledge (AAAI-MAKE) at Stanford University, California, USA on March 25-27, 2024.

The AAAI-MAKE 2024 symposium brings together a diverse community of researchers, practitioners, and industry professionals from the fields of machine learning, knowledge engineering, and large language models (LLMs) to explore the synergy between these domains. The symposium aims to address the critical challenges of trustworthiness, interpretability, and the integration of commonsense reasoning in AI systems.

ChEdventure: learning to question with a chatbot-based educational project simulation
2023 – 2024
FHNW Project | FHNW Lehrfonds & Hochschullehre 2025

In the ChEdventure project, a simulation environment is being developed in which students can practise complex issues through dialogues that often occur in business workshops. ChEdventure offers virtual interlocutors with whom students can learn skills such as asking relevant questions, critically questioning answers, placing them in the overall context and resolving contradictory statements.

AAAI-MAKE 2023: AAAI Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering
2023
Association for the Advancement of Artificial Intelligence (AAAI)

Chair and member of the symposium organizing committee of the AAAI 2023 Spring Symposium on Challenges Requiring the Combination of Machine Learning and Knowledge Engineering (AAAI-MAKE) at Hyatt Regency, San Francisco Airport, California, USA on March 27-29, 2023.

The AAAI-MAKE 2023 symposium brings together researchers and practitioners from machine learning and knowledge engineering to reflect on how combining the two fields can contribute to tackling future societal, environmental, business, and fundamental AI challenges.

BSc in Artificial Intelligence and Business – Business AI
2019 – 2022

Design of a new degree programme for the School of Business FHNW in the field of artificial intelligence, business and socio-technical information systems.

AAAI-MAKE 2022: AAAI Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence
2022
Association for the Advancement of Artificial Intelligence (AAAI)

Co-chair and member of the symposium organizing committee of the AAAI 2022 Spring Symposium on Machine Learning and Knowledge Engineering for Hybrid Intelligence (AAAI-MAKE) at the Stanford University, Palo Alto, California, USA on March 21-23, 2022.

The AAAI-MAKE 2022 symposium aims to bring together researchers and practitioners from machine learning and knowledge engineering to reflect how combining the two fields can contribute to hybrid intelligence systems.

A Conversational AI Workbench Platform for the Development of Legal Chatbots
2020 – 2021
FHNW Project | Funded by the Swiss Confederation's Innovation Agency Innosuisse

The purpose of this Innosuisse’s innovation cheque project is to test the feasibility of the idea to offer a platform that enables organisations such as law firms or associations to develop their own chatbots for legal advice ("legal chatbots") with little effort. The project partners are the Velex GmbH, the FHNW Intelligent Information Systems Research Group lead by Prof. Dr. Knut Hinkelmann and FHNW Competence Center Cloud Computing, Digitalisation & Transformation lead by Prof. Dr. Stella Gatziu Grivas.

AAAI-MAKE 2021: AAAI Spring Symposium on Combining Machine Learning and Knowledge Engineering
2021
Association for the Advancement of Artificial Intelligence (AAAI)

Chair and member of the symposium organizing committee of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE) at the Stanford University, Palo Alto, California, USA on March 22-24, 2021.

AAAI-MAKE 2021 aims for bringing together practitioners and researchers from various companies, research centers, and academia of machine learning and knowledge engineering. Furthermore, participants should reflect on the progress made on combining machine learning and knowledge engineering approaches now two years later, after being raised in the AAAI spring symposium series in 2019 for the first time. The participants should continuously work together on joint AI for practice that is being explainable and grounded in domain knowledge. Last but not least, participants shall benefit from each other to avoid pitfalls on the one hand and provide the ground for synergetic co-operations to identify the most promising areas for better results. For more details, see www.aaai-make.info.

AAAI-MAKE 2020: AAAI Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice
2020
Association for the Advancement of Artificial Intelligence (AAAI)

Chair and member of the symposium organizing committee of the AAAI 2020 Spring Symposium on Combining Machine Learning and Knowledge Engineering in Practice (AAAI-MAKE) at the Stanford University, Palo Alto, California, USA on March 23-25, 2020.

This symposium brings together practitioners and researchers from various companies, research centers and academia of machine learning and knowledge engineering working together on joint AI that is being explainable and grounded in domain knowledge. For more details, see www.aaai-make.info.

AAAI-MAKE 2019: AAAI Spring Symposium on Combining Machine Learning with Knowledge Engineering
2019
Association for the Advancement of Artificial Intelligence (AAAI)

Chair and member of the symposium organizing committee of the AAAI 2019 Spring Symposium on Combining Machine Learning with Knowledge Engineering (AAAI-MAKE) at the Stanford University, Palo Alto, California, USA on March 25-27, 2019.

This symposium brings together researchers and practitioners from various communities of machine learning and knowledge engineering working together on joint AI that is explainable, compliant and grounded in domain knowledge. For more details, see 2019.aaai-make.info.

A combined Case-based Reasoning and Process Execution Approach for Knowledge-Intensive Work
2012 – 2016
PhD Thesis Andreas Martin

First, the cognitive adequacy of business process models was described and assessed. Based on these findings, a business process modelling language was selected to describe process fragments. Finally, a new combined approach consisting of process execution and case-based reasoning was described, evaluated and instantiated as a software demonstrator called ICEBERG-PE. The thesis contains a well-founded literature framework and follows a design science research (DSR) strategy. Four conference and workshop publications, as well as a journal article and one book chapter, have emerged from this work. The triangulated evaluation of the ICEBERG-PE instantiation confirmed the transferability of this approach.

[sic!] – Software Integration with Ontology-Based Case-Based Reasoning
2012 – 2016
FHNW Project | Funded by the Swiss Confederation's Commission for Technology and Innovation CTI

The aim of the project was the implementation of knowledge management supporting software integration projects using case-based reasoning and an enterprise ontology. The project goals were the development of an ontology-based context model, the elaboration of a structured language for describing integration project knowledge and the prototypical implementation of an ontology-based reasoner.

Research & Engineering
Innovation Assistant
2020 – 2021
FHNW Project | Funded by the Swiss Confederation's Innovation Agency Innosuisse

The aim of this Innosuisse Innovation Check project was to test the feasibility of the idea of a digital innovation assistant. The project partners are the Superloop Innovation GmbH and FHNW Competence Center Cloud Computing, Digitalisation & Transformation under the lead of Prof. Dr. Stella Gatziu Grivas.

DSSA – Digital Self-Study Assistant
2019 – 2020
FHNW Project | FHNW Lehrfonds & Hochschullehre 2025

This didactic development project investigated how a prototypical chatbot as an intelligent and dialogue-oriented tutoring system supports coaching in project-related teaching and thus supports the respective learning progress of individual students working in teams.

SBICC – Smart BI Cloud Configurator
2017 – 2019
FHNW Project | Funded by the Swiss Confederation's Commission for Technology and Innovation CTI

The aim of the project was to develop a digital assistant, which supports the customers of a BI consulting provider in the selection and configuration of business intelligence services in the cloud. The assistant is based on a case-based reasoning based recommender that accesses a case base and automatically derives recommendations to the customers.

SAWEILIB – Situational selection and use of instruments of supplier management in the international procurement
2017 – 2019
FHNW Project | Funded by the Swiss Confederation's Commission for Technology and Innovation CTI

More complex requirements for SMEs force the transition from a supplier- to a network-management to handle hidden risks adequately. With the implementation of a case-based reasoning approach, tools for “Supply Network Management” have been made available.

Effects of Digital Transformation on the Management Education
2016 – 2017
FHNW Project | Funded by the Stiftung FHNW

In the 21st century, progressive digitalisation has brought forth new types of machines and tools and made new business models and forms possible. This project provided guidance on how the education and training of the FHNW School of Business should adapt to progressive digitalisation.

Learn PAd – Model-Based Social Learning for Public Administrations
2012 – 2016
FHNW Project | Co-funded by the European Commission under the Seventh Framework Programme (FP7)

Learn PAd was an interdisciplinary project with the aim of providing learning solutions for public administrations that focus on their business processes and context.

DokLife – Supporting Document Life-Cycle-Management based on semantically enriched annotations
2010 – 2012
FHNW Project | Funded by the Swiss Confederation's Commission for Technology and Innovation CTI

The scientific goal of the project was to transfer semantic technologies into the application. By using formalised contextual information and classical information extraction, the content of a document is to be made accessible and metadata automatically generated.

MATURE – Continuous Social Learning in Knowledge Networks
2008 – 2012
FHNW Project | Co-funded by the European Commission, Unit for Technology-Enhanced Learning (TEL), FP7

The EU project MATURE was based on the concept of knowledge maturation, which is understood as goal-oriented learning on a collective level. The project explores how knowledge maturation takes place within and between organisations, what barriers exist and how socio-technical solutions can be used to overcome/manage these barriers.

Consulting & Advisory
Consulting in BPM, Digitalisation and Artificial Intelligence
2018 – current
FHNW Consulting Services

Consultant for Business Process, Case Management and Decision Modelling, Conversational AI, Workflow Automation, Enterprise Integration and OMG Specs (BPMN, CMMN, DMN).

Project Advisory Board: AI Tutor for Students
2023 – 2024
School of Engineering FHNW

The project is developing an AI Tutor to assist students in learning and to research the impact of AI on learning processes.

  • In mandate of the School of Business FHNW
  • Contribution of the Conversational AI expertise
Legal AI for Contract Analysis
2023
FHNW consulting & implementation project

In this consulting & implementation project, a prototype was developed using Large Language Models (LLMs) that can be used effectively to analyse and identify high-risk clauses and entities in contracts.

ICT Consulting for Government Bodies and School Administrations
2005 – 2014
Sole Proprietorship
  • Advice to government bodies, municipalities, and school administrations
  • Support for public schools and ICT working groups
  • Creation of ICT concepts and management of tenders
Technical Expertise
  • Programming languages such as Java, C / C++, Python, JavaScript, PHP, TypeScript and Kotlin
  • Coding environments and notebooks such as GitHub Codespaces, JetBrains tools, VS Code, Deepnote, Google Colab and SageMaker Studio Lab
  • Conversational AI frameworks such as Voiceflow, Rasa, Dialogflow, Microsoft Bot Framework, Botpress and IBM Watson Assistant
  • Natural Language Processing (NLP) frameworks such as GATE, spaCy, various HuggingFace models, Rasa NLU, Duckling, Stanford Parser/NLP and MALLET
  • Language model frameworks such as LangChain, Chainlit, Langflow, Flowise, Haystack, Hugging Face transformers
  • Machine learning frameworks and deployment such as scikit-learn, Orange Data Mining, TensorFlow, Keras, PyTorch, Microsoft Azure, Hugging Face Spaces and Modelbit.
  • Vector stores and search frameworks such as Chroma, FAISS, Pinecone, Apache Lucene and Tika
  • Modelling languages such as BPMN, DMN, CMMN, UML
  • Semantic Web technologies such as RDF, RDFS, OWL, TTL, SPIN, SHACL, SWRL and SPARQL
  • Knowledge graph technologies such as Stardog, Apache Jena/Fuseki, GraphDB, Neo4j and Eclipse RDF4J (Sesame)
  • Software frameworks such as Spring and Spring Boot, Java EE, FastAPI, JavaFX, Hibernate, Vue.js, Ionic, Angular and Laravel
  • Enterprise application integration frameworks such as Apache Camel, Apache Kafka, RabbitMQ and AMQP
  • Enterprise architecture languages/frameworks such as ArchiMate, Zachman Framework and TOGAF
  • Software development frameworks such as extreme programming (XP), Unified Process including RUP & OpenUP, model-driven engineering (MDE), Scaled Agile Framework (SAFe), Kanban, Scrum, DevOps and MLOps
  • Ideation and requirements engineering including Conversational Design, Design Thinking, UX Mapping and domain-driven design (DDD)
  • Software architecture styles such as Microservices and templates such as arc42.
  • API paradigms such as REST style, GraphQL, OpenAPI/Swagger and SOAP/WSDL.