About Me

Dr. Lux has more than 25 years of experience in information technology. Since 2013, he has been an entrepreneur conducting research projects by leading national and international projects, mostly as a key researcher. His main research areas are process mining and AI. In the past years, he has developed new AI algorithms, metrics and methods to understand statistics from applications by incorporating environmental data, visualization methods and even XAI.

Dr. Lux founded two successful companies: LuxActive, a for-profit SME for platform development, and the non-profit research organization SWISDATA, with the aim of promoting the common good in Europe through digital transformation, education and research.

My Companies

LuxActive KG logo

LuxActive KG

A for-profit SME for platform development: custom software, digitalization and AI — data analysis, dashboards, process mining and LLM-based applications.

luxactive.com

SWISDATA gGmbH logo

SWISDATA gGmbH

A non-profit research organization promoting the common good in Europe through digital transformation, education and research — with a focus on AI, data analysis, process mining and open data & knowledge sharing.

swisdata.eu

Research & Innovation Projects

Funded research and innovation projects and contract research, listed from newest to oldest.

  • 2025–28 Light-AIClean (ongoing) — AI-driven decontamination technologies to repurpose and recycle plastic and glass for food-contact use, using light. SWISDATA contributes AI (neural networks, genetic algorithms) and an LLM-based lab assistant. SWISDATA · FFG
  • 2025–26 AICAT (ongoing) — AI Calendar Assistant Tool: a context-sensitive holiday calendar, preference learning and an EU-hosted LLM chatbot combining reinforcement learning with LLMs. LuxActive · FFG Basisprogramm
  • 2025 Neworn recommender — Recommendation system for a secondhand marketplace for baby and children items. SWISDATA · FFG Innovation Voucher · Neworn GmbH
  • 2025 Boolee — Enhancement of the analytics product Boolee. SWISDATA · FFG Innovation Voucher · Papillon Solutions GmbH
  • 2025 datasol AI concept — AI concept for the logistics sector. SWISDATA · FFG Innovation Voucher · datasol FlexCo
  • 2024–25 SRI-CHATPED — Smart Readiness Indicator chatbot for PEDMaker, using LLMs, agents, workflows and retrieval-augmented generation. LuxActive · SUSTAIN Eurocluster (EU cascade funding)
  • 2024–25 CloudShadingAI — AI-based prediction of cloud movement and shading effects for photovoltaic systems. LuxActive · FFG ASAP · MetGIS GmbH
  • 2023–24 CUBIC-PM — Chatbot answering questions on statistics from event logs and environmental data, with live charts, tables and process models. LuxActive · FFG Small Scale Project
  • 2022–23 PEDMaker — Energy companion for prosumers and energy communities, with a matchmaking algorithm for community members. LuxActive · Horizon 2020 SYNERGY (cascade funding)
  • 2021–25 AURORAL — Architecture for unified regional and open digital ecosystems for smart communities and wider rural areas; LuxActive listed as project coordinator. LuxActive · Horizon 2020 (29 partners)
  • 2019–22 Future Data Assets — Intelligent data balancing to assess a company's data capital; SWISDATA improved the scraper/crawler and added process mining. SWISDATA · FFG ICT of the Future · Deloitte, RWTH Aachen, DFKI, DMG MORI, VDI
  • 2018–19 SWIS — Sophisticated Web Information Service, connecting an ML/AI scraper and crawler to the Data Market Austria. LuxActive · FFG ICT of the Future
  • 2016–26 FFG Projekt.Start (recurring) — Several FFG preparation grants acquired for LuxActive and SWISDATA. LuxActive & SWISDATA · FFG
  • 2016–18 Multi-Information — Multidimensional information offering, crawler and scraper; recorded its first billion data records from the Austrian web in 2018. LuxActive · FFG Basisprogramm
  • 2016–17 Kooperationsanbahnung — Cooperation between LuxActive and the University of Vienna on customer journeys with process mining. LuxActive & University of Vienna · Wirtschaftsagentur Wien
  • 2016 Usability concept — Usability concept for a mobile application. University of Vienna · FFG Innovation Voucher
  • 2014–15 aws impulse XS — Engineering a prototype for an eTourism platform containing the semantic search approach. LuxActive · aws impulse XS
  • 2013–14 oHA (company founding) — Founding of LuxActive and implementation of a multidimensional suggestion-based search system for consumer-oriented e-markets — the origin of the guest platform oHA. LuxActive · INiTS incubator (AplusB)

Scientific Publications

Peer-reviewed and reviewed publications, listed from newest to oldest.

  • 2023 Lux, M., & Rinderle-Ma, S. DDCAL: Evenly Distributing Data into Low Variance Clusters Based on Iterative Feature Scaling. Journal of Classification, 40(1), 106–144. doi:10.1007/s00357-022-09428-6
  • 2023 Gómez-Carmona, O., Buján-Carballal, D., Casado-Mansilla, D., López-de-Ipiña, D., Cano-Benito, J., Cimmino, A., … Lux, M., & Bujalkova, N. Mind the gap: The AURORAL ecosystem for the digital transformation of smart communities and rural areas. Technology in Society, 74, 102304. doi:10.1016/j.techsoc.2023.102304
  • 2019 Lux, M., & Rinderle-Ma, S. Analyzing User Behavior in Search Process Models. In: CAiSE Forum 2019, Lecture Notes in Business Information Processing, Vol. 350 (pp. 182–193). Springer, Cham. doi:10.1007/978-3-030-21297-1_16
  • 2018 Lux, M., Rinderle-Ma, S., & Preda, A. Assessing the Quality of Search Process Models. In: BPM 2018, Lecture Notes in Computer Science, Vol. 11080 (pp. 445–461). Springer, Cham. doi:10.1007/978-3-319-98648-7_26
  • 2017 Lux, M., & Rinderle-Ma, S. Problems and Challenges When Implementing a Best Practice Approach for Process Mining in a Tourist Information System. BPM 2017 Industry Track, CEUR Workshop Proceedings, Vol. 1985 (pp. 1–12). ceur-ws.org/Vol-1985

Theses

Own Academic Qualification Theses

  • 2023 Doctoral dissertation — Lux, M. Mining and Visualization of Customer Journey Processes in Information Systems. University of Vienna, Faculty of Computer Science. Supervisor: S. Rinderle-Ma. doi:10.25365/thesis.74970
  • 2013 Diploma thesis — Lux, M. Entwurf und Entwicklung eines mehrdimensionalen vorschlagsbasierten Suchsystems für konsumorientierte E-Markets. Technische Universität Wien. repositum
  • 2010 Bachelor's thesis — Lux, M. Urheberrecht von Computerprogrammcode (Copyright law of computer program code). Technische Universität Wien.

Supervised Bachelor Theses (Supervision Record)

All theses below were written at the University of Vienna in the practical software course with bachelor thesis at the research group Workflow Systems and Technology. Each thesis and its source code are publicly available in the linked repository. Listed from newest to oldest.

  • 2026 Antunovic, I. LLM-Based Semantic Chunking for Retrieval-Augmented Generation: A Comparison with Rule-Based Chunking Strategies. repository
  • 2026 Kalinichenko, V. Enhancing ProcessIntel: Infrequent Inductive Mining, XES Data Integration, and Static Graph Visualization. repository · thesis
  • 2026 Shulika, N. A Decision-Support System for Recommending AI Tools to Small and Medium-Sized Enterprises: Comparing Classical, LLM, and Hybrid Approaches. repository
  • 2026 Rodenbäck, M. Entwurf und Umsetzung einer graphbasierten Multi-Agentenarchitektur zur verbesserten Generierung von Blogbeiträgen mit Large Language Models unter Nutzung von Retrieval-Augmented Generation. repository
  • 2026 Marinov, D. Using a Large Language Model (LLM) to build a Knowledge Graph from scratch to improve Retrieval-Augmented Generation (RAG) for answering questions on custom data. knowledge graph · chatbot
  • 2026 Käfer, D. Reactly: A ReAct inspired Agent from scratch. repository
  • 2026 Abzhanova, Z. Developing a ReAct inspired Agent from scratch for utilizing on Large Language Models (LLMs). repository
  • 2026 Dussaliyev, M. Extending a Process Mining Visualization Tool with Inductive Miner Infrequent, XES Support, and Architectural Refactoring. repository · thesis
  • 2026 Ovsiannikov, S. Development of a Multi-Agent Pipeline Utilizing Large Language Models for Complex Task Automation. repository
  • 2026 Schütz, J. Enhancement of the Process Mining Visualization Tool: Petri Net Integration, Converters, Token Game Simulation, and Happy Path. repository · thesis
  • 2025 Petrov, D. Evaluation Approaches for Retrieval-Augmented Generation (RAG). repository
  • 2025 Lachtner, R. Efficient Text Embedding Inference in Apache Kafka. repository
  • 2025 Hansl, A. Build a Multi-Agent approach for a Large Language Model (LLM) to improve responses and by using Retrieval-Augmented Generation (RAG) to consider own data in queries. repository
  • 2025 Pintsuk, A. AI — Using a Large Language Model (LLM) together with Retrieval-Augmented Generation (RAG) for answering questions on custom data. repository
  • 2025 Khomich, I. AI — Using a Large Language Model (LLM) together with Retrieval-Augmented Generation (RAG) for answering questions on custom data. repository
  • 2025 Kapfhammer, D. Enhancement of the Process Mining Visualization Tool: Merge Projects, add Filtering, UI-Enhancements and Genetic Miner Implementation. repository
  • 2024 Lithoxopoulos, N. Using Open Source Large Language Models together with Retrieval-Augmented Generation for Chatting with own Domain-Specific Data. repository
  • 2024 Schwinger, F. Benchmark for Recurrent vs. Deep Feedforward Neural Networks. repository
  • 2024 Rustemi, A. Process Mining Visualization Tool in Python. repository
  • 2024 Frauenberger, F. Enhancing the Process Mining Visualization Tool by adding the Inductive Miner and improving the UI. repository
  • 2024 Krasniqi, A. Fuzzy Miner as an additional Process Mining Algorithm for a Process Mining Visualization Tool in Python. repository
  • 2024 Mattersdorfer, N. Darstellung von Kundenverhalten mittels einer Android App und Daten aus Perceptrons. repository
  • 2023 Gašparević, A. Data Pre-processing of Event-Logs and Environmental Weather Data. repository
  • 2023 Theis, P. P. M. Kernel k-means clustering framework in Python. repository
  • 2023 Oster, J. Kernel k-means clustering framework in Python. repository
  • 2023 Chen, A. A Python Desktop App for Business Process Mining and Visualization. repository
  • 2022 Petkova, V. Y. Interactive Process Visualization of correlation based customer journey processes in the tourism domain. Supervisor: E. Schikuta; co-supervisor: M. Lux.

Get in Touch

Thanks for stopping by — feel free to reach out for projects, research collaborations or just a good conversation.