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Posts
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portfolio
Development of autonomous intelligent systems
I am working on a framework that enables robots to follow natural-language instructions by combining large language models with real-time perception, spatial reasoning, and robot control through a modular tool-based system.
Verbundvorhaben: Intelligenter Virtueller Betriebsassistent zur Optimierung landwirtschaftlicher Biogasanlagen durch ein Large Multimodal Model
Im Projekt entwickeln wir einen intelligenten, virtuellen Betriebsassistenten auf Basis eines multimodalen KI-Modells, der die Substratzufuhr in Biogasanlagen automatisch optimiert und eine flexible, effiziente Stromeinspeisung ermöglicht. Durch modellbasierte prädiktive Regelung, KI-gestützte Zustandsschätzung und eine sprachbasierte Benutzeroberfläche wird der Anlagenbetrieb vereinfacht, nachhaltiger gestaltet und in realen Biogasanlagen validiert.
publications
Automatisierung einer Pilot-Biogasanlage mit LabVIEW
Published in , 1900
Betriebsoptimierung von Abfallvergärungsanlagen mittels Online-Messtechnik und Datenanalyse
Published in , 1900
Development of an easy-to-use Membrane WWTP Simulation Software
Published in , 1900
Dynamische Echtzeit-Optimierung der Substratzufuhr von landwirtschaftlichen Biogasanlagen
Published in , 1900
Gummersbach Environmental Computing Center
Published in , 1900
Messung organischer Säurekonzentration über UV/vis Spektroskopie
Published in , 1900
Modellbasierte Optimierung und Regelung zur nachhaltigen Energieerzeugung aus Biogas
Published in , 1900
Regelung der Substratzufuhr von Biogasanlagen–Ein Review
Published in , 1900
SUBSTRATE FEED OPTIMIZATION AND CONTROL OF AGRICULTURAL BIOGAS PLANTS
Published in , 1900
Dynamic real-time substrate feed optimization of anaerobic co-digestion plants
Published in Water Science and Technology, 2005
Fusion of visual and inertial measurements for pose estimation
Published in dynamics, 2008
A comparison of performance of advanced pattern recognition methods for organic acid prediction in biogas plants using uv/vis spectroscopic online-measurements
Published in Proceedings of the 2010 International Conference on Life System Modeling and Simulation (LSMS), Wuxi, China, 2010, 2010
Development of a Simulation Model for hollow-fiber and flat sheet membrane wastewater treatment Plants
Published in Crossing Borders within the ABC: Automation, Biomedical Engineering and Computer Science, 2010
Organic acid prediction in biogas plants using UV/vis spectroscopic online-measurements
Published in International Conference on Intelligent Computing for Sustainable Energy and Environment, 2010
Matlab toolbox for biogas plant modelling and optimization
Published in Progress in Biogas II-Biogas production from agricultural biomass and organic residues, 2011
Optimal control of biogas plants using nonlinear model predictive control
Published in , 2011
An advanced simulation model for membrane bioreactors: development, calibration and validation
Published in Water Science and Technology, 2012
Nonlinear model predictive substrate feed control of biogas plants
Published in 2012 20th Mediterranean Conference on Control & Automation (MED), 2012
Predicting Organic Acids in Biogas Plants using UV/vis Spectrometry Online-Measurements
Published in no. June, 2012
State estimation for anaerobic digesters using the ADM1
Published in Water science and technology, 2012
Predicting organic acid concentration from UV/vis spectrometry measurements–a comparison of machine learning techniques
Published in Transactions of the Institute of Measurement and Control, 2013
Steuerungs-und Regelungskonzepte für landwirtschaftliche Biogasanlagen
Published in Biogas in der Landwirtschaft--Stand und Perspektiven, Proceedings FNR/KTBL-Kongress, 2013
COD and NH 4-N estimation in the inflow of Wastewater Treatment Plants using Machine Learning Techniques
Published in 2014 IEEE international conference on automation science and engineering (CASE), 2014
Intelligent automation and IT for the optimization of renewable energy and wastewater treatment processes
Published in Energy, Sustainability and Society, 2014
Multi-objective nonlinear model predictive substrate feed control of a biogas plant
Published in Kompendium der Forschungsgemeinschaft: metabolon 2012-2014, 2014
Online-measurement systems for agricultural and industrial AD plants–A review and practice test
Published in Kompendium der Forschungsgemeinschaft: metabolon 2012-2014, 2014
Online monitoring of AD processes using a fully automated, low maintenance middle-infrared (MIR) measurement system
Published in Conf Proc Int Sci Conf Biogas Sci, 2014
Dynamische Echtzeit-Optimierung der Substratzufuhr für anaerobe Co-Vergärungsanlagen
Published in at-Automatisierungstechnik, 2015
Expected hypervolume improvement algorithm for PID controller tuning and the multiobjective dynamical control of a biogas plant
Published in 2015 IEEE Congress on Evolutionary Computation (CEC), 2015
Feed Control of Anaerobic Digestion Processes for Sustainable Renewable Energy Production: A Review
Published in Dubrovnik, 2015
Instrumentation and control of anaerobic digestion processes: a review and some research challenges
Published in Reviews in Environmental Science and Bio/Technology, 2015
Optimizing anaerobic co-digestion plants: MIR online instrumentation and dynamic real-time substrate feed optimization.
Published in Automatisierungstechnik, 2015
A bias compensated cross-relation approach to thermocouple characterisation
Published in IFAC-PapersOnLine, 2016
Multi-fidelity modeling and optimization of biogas plants
Published in Applied Soft Computing, 2016
Noise resilient discrete-time cross-relation sensor characterisation
Published in 2016 UKACC 11th International Conference on Control (CONTROL), 2016
Process optimization, advanced control, and computational fluid dynamics modelling of wastewater disinfection using peracids
Published in 3rd IWA Specialiized International Conference Ecotechnologies for Wastewater Treatment (EcoSTP 2016), 2016
Feed control of anaerobic digestion processes for renewable energy production: A review
Published in Renewable and Sustainable Energy Reviews, 2017
This is How We Do It–Pilot Validation of a Dose (CT)-Based Control for Wastewater Disinfection with peracetic acid
Published in Proceedings of WEFTEC 2017-Water Environment Federation Technical Exhibition and Conference 2017, 2017
Tightly coupled fusion of direct stereo visual odometry and inertial sensor measurements using an iterated information filter
Published in 2017 DGON Inertial Sensors and Systems (ISS), 2017
Wastewater disinfection by peracids: advanced dose control technology validation with pilot and modeling studies
Published in 12th IWA Specialist Conference on Instrumentation, Control and Automation (ICA 2017), 2017
student_projects
Autonomous Object Detection and Manipulation Using a Mobile Cobot
T. Y. N., 2026
Autonomous exploration, open-vocabulary object recognition, and safe grasping have been combined on a compact mobile robot, enabling it to independently map unknown rooms, locate user-specified items, and pick them up. Field tests showed the frontier-guided strategy finds and grasps objects faster and more reliably than simpler straight-line searches, even in cluttered indoor spaces.
Modifikation des Selbststudiums im digitalen Lernalltag: Ein KI-Dokumentenassistent für Studierende zur effizienten Suche und Aufbereitung von Lernmaterialien
N. V., 2026
A privacy-preserving AI document assistant was built to let students find and understand their scattered digital course materials. After systematically testing 56 local RAG-pipeline setups, the best combination of smart parsers, dense retrieval and reranking rivaled cloud services without sending data off campus.
Entwicklung einer App zur sprachbasierten Interaktion mit Discord über einen Discord MCP Server
A. M., 2026
A voice-controlled web tool has been created that lets users manage Discord events and channels through everyday speech, automatically converting phrases like “tomorrow 3 pm” into the exact timestamps Discord needs. The system links large language models to Discord’s servers via the open Model Context Protocol, hides the technical details behind a simple browser interface, and can be used from any device on the network.
Prototypische Umsetzung webbasierter Anwendungen zur Unterstützung von Restaurantabläufen
T. M. N., 2026
A set of web apps has been built to digitalize restaurant processes. Guests can scan a QR code to order and pay at the table, reserve seats and preorder meals, while staff track all tables in real time.
AlphaZero für Blokus-Duo: Analyse und Vergleich mit Minimax- und MCTS-Algorithmen
L. S., 2026
An AlphaZero-style AI for the two-player board game Blokus Duo was built and pitted against hand-crafted Minimax and MCTS opponents. Although ten rounds of self-training did not yet surpass the classical agents, the neural network noticeably boosted MCTS move quality, indicating clear room for further improvement.
Vergleichende Analyse von Vektor-Datenbanken für Chatbot-Anwendungen
C. Ö., 2026
Four vector databases (FAISS, Chroma, Qdrant, Weaviate) and four embedding models were benchmarked on one million text snippets for speed, accuracy and memory use.
Vergleich von lokalen LLMs zur Programmierfähigkeit in Python
M. P. G., 2026
Local open-source language models running on an Nvidia Jetson board were timed and graded on how well they wrote Python tasks for a robot arm. The 1.5-billion-token Qwen2.5-Coder delivered the fastest, most reliable code and was further tested in larger and quantized versions.
Entwicklung eines Chatbots für Prüfungsrecht
T. M. N., 2026
A chatbot was built to make university exam rules easy to query by voice or text. It uses Retrieval-Augmented Generation, instantly quoting the official TH Köln exam regulations and North Rhine-Westphalia higher-education law.
Entwicklung eines KI gestützten Chatbots mit Retrieval-Augmented Generation (RAG) für die öffentlich zugängliche Webseite der TH Köln
W. T., 2026
An AI chatbot using Retrieval-Augmented Generation was built to turn TH Köln’s sprawling website into easy, conversation-style answers. Tests show it cuts search time—especially for tricky topics like exam rules—while keeping facts trustworthy and hallucinations low.
Active Learning Framework for a Meta-Model to Predict Concentrations of Pesticides in Groundwater
B. K. M., 2026
A fast machine-learning “meta-model” was trained with active-learning tricks to imitate Europe’s slow groundwater-exposure model for pesticides. The resulting CatBoost committee predicts concentrations in real time with under 0.7 % error, enabling instant, low-cost screening of crop-protection products.
talks
Conference Proceeding talk 3 on Relevant Topic in Your Field
Published:
This is a description of your conference proceedings talk, note the different field in type. You can put anything in this field.
Synergizing Language Models and Biogas Plant Control: A GPT-4 Approach
Published:
This study delves into the utilization of the large language model, GPT-4, as a controller to optimize substrate feed in an agricultural anaerobic co-digestion plant. Assigned with specific objectives, including targeted methane production, GPT-4 harnesses knowledge encompassing plant parameters, substrate characteristics, and real-time process data. The model formulates recommendations for substrate feed, offering transparent rationales for its decisions. To evaluate its effectiveness, a simulation model of an agricultural anaerobic co-digestion plant based on the Anaerobic Digestion Model no. 1 is employed. Initial findings suggest that GPT-4 effectively regulates substrate feed, maintaining methane production rates near predefined targets. Crucially, the explanations provided by GPT-4 are comprehensible. The accompanying code will be made accessible for further investigation and exploration.
Entwicklung intelligenter autonomer Assistenten
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The tutorial provides an overview of the development of intelligent autonomous assistants, focusing on how multimodal AI technologies—such as large language models, computer vision, and robotics—enable systems to understand language, perceive their environment, plan actions, and manipulate objects. It discusses practical applications in Industry 5.0, logistics, laboratories, smart homes, and agriculture, and contrasts modular system designs with end-to-end vision-language-action models. Finally, it highlights current research challenges, including data scarcity, simulation-to-reality transfer, system speed, and robustness in complex real-world environments.
teaching
Künstliche Intelligenz
Undergraduate course, TH Köln, Institut für Informatik, 2021
Künstliche Intelligenz im Bachelorstudiengang Informatik.
Deep Learning, Machine Learning und Künstliche Intelligenz
Undergraduate course, TH Köln, Institut für Informatik, 2022
WPF Deep Learning, Machine Learning und Künstliche Intelligenz im Bachelorstudiengang Informatik.
Algorithmik
Undergraduate course, TH Köln, Institut für Informatik, 2022
Algorithmik im Bachelorstudiengang Informatik.
Cyber-Physische Systeme
Undergraduate course, TH Köln, Institut für Informatik, 2023
WPF Cyber-Physische Systeme im Bachelorstudiengang Informatik.
Mensch-zentrierte Künstliche Intelligenz
Undergraduate course, TH Köln, Institut für Informatik und Wirtschaftsinformatik, 2025
Mensch-zentrierte Künstliche Intelligenz im Bachelorstudiengang Medieninformatik.