Prof. Dr. Michael Uelschen Software-Engineering für technische Systeme

Prof. Dr.-Ing. Michael Uelschen ist seit dem Wintersemester 2009/10 Professor für Software-Engineering für technische Systeme im Laborbereich Technische Informatik an der Hochschule Osnabrück.

Nach Informatik-Studium und einer anschließenden Promotion im Maschinenbau über Methoden der Computational Intelligence bei der Auslegung von Turbomaschinen blickt er auf zehnjährige Erfahrungen in verschiedenen Rollen und Verantwortlichkeiten im Bereich der Software- und Systementwicklung des weltgrößten Automobilzulieferers zurück.

Lehrveranstaltungen im Wintersemester:

• Programmierung I (Bachelor)
• Embedded Systems (Bachelor)
• Systems Engineering (Bachelor)
• Parallele und Verteile Algorithmen (Master)

Lehrveranstaltungen im Sommersemester:

• Programmierung II (Bachelor)
• Objektorientierte Analyse und Design (Bachelor)
• Software Engineering (Bachelor)
• Objektorientierte Analyse und Design (Bachelor)
• Software Engineering paralleler Systeme (Master)

Betreuung von Projekt- und Abschlussarbeiten 

Aktuelle Interessen- und Forschungsgebiete sind:

• Software-Engineering für (Automotive) Embedded Systems
• Multicore-, Manycore- und GPGPU-Systeme
• Programmierung und Programmiersprachen (u.a. MISRA)
• Medizintechnik, insb. Bildverarbeitung
• Prozesse und Prozessverbesserungen (u.a. CMMI)
• Energieeffiziente Software
• Internet der Dinge

2023

• Rapid-Prototyping and Early Validation of Software Models through Uniform Integration of Hardware
  Michael Uelschen, Marco Schaarschmidt, Jannis Budde
  ACM/IEEE 26th International Conference on Model-Driven Engineering Languages and Systems (MODELS 2023)
  October 1-6, 2023

2022

• Towards Power Consumption Optimization for Embedded Systems from a Model-driven Software Development Perspective
  Marco Schaarschmidt, Michael Uelschen, Elke Pulvermüller
  In: Fill, HG., van Sinderen, M., Maciaszek, L.A. (eds) Software Technologies. ICSOFT 2021.
  Communications in Computer and Information Science, vol 1622. Springer, Cham.
  https://doi.org/10.1007/978-3-031-11513-4_6
   
• Hunting Energy Bugs in Embedded Systems: A Software-Model-In-the-Loop Approach
  Marco Schaarschmidt, Michael Uelschen, Elke Pulvermüller
  Electronics 2022, 11, 1937
  doi.org/10.3390/electronics11131937

• Software Design of Energy-Aware Peripheral Control for Sustainable Internet-of-Things Devices
  Michael Uelschen, Marco Schaarschmidt
  Hawaii International Conference on System Sciences 2022 (HICSS-55)
  January 3-7, 2022
  http://hdl.handle.net/10125/80275

2021

• Quantifying Uncertainty for Predicting Renewable Energy Time Series Data Using Machine Learning
  Phil Aupke, Andreas Kassler, Andreas Theocharis, Magnus Nilsson, Michael Uelschen
  7th International conference on Time Series and Forecasting (ITISE 2021)
  Learning Eng. Proc. 2021, 5, 50
  July 19-21, 2021

• Power Consumption Estimation in Model Driven Software Development for Embedded Systems
  Marco Schaarschmidt, Michael Uelschen, Elke Pulvermüller
  16th International Conference on Software Technologies (ICSOFT2021)
  July 6-8, 2021

• Energy-Aware Pattern Framework: The Energy-Efficiency Challenge for Embedded Systems from a Software Design Perspective
  Marco Schaarschmidt, Michael Uelschen, Elke Pulvermüller, Clemens Westerkamp
  In: Ali R., Kaindl H., Maciaszek L.A. (eds) Evaluation of Novel Approaches to Software Engineering. ENASE 2020. Communications in Computer and Information Science, vol 1375. Springer, Cham.
  https://doi.org/10.1007/978-3-030-70006-5_8

2020

• Framework of Software Design Patterns for Energy-Aware Embedded Systems (Best Paper Award)
  Marco Schaarschmidt, Michael Uelschen, Elke Pulvermüller, Clemens Westerkamp
  15th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2020)
  May 5 – 6, 2020
   

• An efficient algorithm for kinematics estimation with application to dynamic gait stability using a contact-less skeleton tracking system
  Michael Uelschen, Heinz-Josef Eikerling, Sabrina Rbib, Helge Riepenhof
  13th International Conference on Biomedical Electronics and Devices (BIODEVICES 2020)
  February 24 – 26, 2020, Valetta, Malta

2019

• Work-in-Progress: PowerMonitor: Design Pattern for Modelling Energy-Aware Embedded Systems
  Michael Uelschen, Marco Schaarschmidt, Christian Fuhrmann, Clemens Westerkamp
  International Conference on Embedded Software (EMSOFT 2019)
  October 13 – 18, 2019, New York City, USA

• Software Engineering Paralleler Systeme
  Michael Uelschen
  Springer Fachmedien Wiesbaden GmbH, 2019
  https://doi.org/10.1007/978-3-658-25343-1

• Robust and Reliable Gait Recognition in Neurological Clinical Practice
  Heinz-Josef Eikerling, Michael Uelschen, Erik Prinsen, Leendert Schaake, Jaap Buurke
  6. International Conference on Ambulatory Monitoring of Physical Activity and Movement (ICAMPAM)
  June 26 – 28, 2019, Maastricht, Netherlands

2018

• Energieeffiziente Entwurfsmuster für das Internet der Dinge
  Marco Schaarschmidt, Christian Fuhrmann, Michael Uelschen, Clemens Westerkamp, Elke Pulvermüller
  Embedded Software Engineering (ESE) Kongress
  3.-7. Dezember 2018, Sindelfingen
• Bedienelement zum Schalten einer elektronischen Einrichtung
  Michael Uelschen
  Patentschrift DE 10 2017 105 957

2017

• Effiziente Methode zur Bestimmung der medio-lateralen Schwankung mittels einer kontaktlosen Bewegungs­analyse zur Qualitäts­sicherung in der orthopädischen Rehabilitation
  Michael Uelschen, Heinz-Josef Eikerling
  62. Jahrestagung der Deutschen Gesellschaft für Medizinische Informatik, Biometrie und Epidemiologie e.V. (GMDS)
  17.-21.09.2017, Oldenburg
• Efficient techniques for gait-analysis: comparing marker-less and IMU-based tracking systems for monitoring rehabilitation processes
  Heinz-Josef Eikerling, Michael Uelschen, Benedikt Stuntebeck
  In: Eskola H., Väisänen O., Viik J., Hyttinen J. (eds) EMBEC & NBC 2017. EMBEC 2017, NBC 2017. IFMBE Proceedings, vol 65. Springer
  Jun. 11-15, 2017, Tampere, Finnland

2016

• Scalable distributed sensor network for contact-less gait analysis -
  A marker-less, sensor-based system for steering rehabilitation measures
  Heinz-Josef Eikerling, Michael Uelschen, Florian Lutterbeck
  9th International Conference on Biomedical Electronics and Devices (BIODEVICES 2016)
  21-23. Februar 2016, Rom

2015

• A Mobile Sensor System for Gait Analysis supporting the Assessment of Rehabilitation Measures
  Michael Uelschen, Heinz-Josef Eikerling
  ACM Conference on Bioinformatics, Computational Biology, and Health Informatics (ACM BCB)
  9-12. September 2015, Atlanta, USA
• Praktikum Automotive Software Engineering: Best Practices
  Michael Uelschen
  14. Workshop Software Engineering im Unterricht der Hochschulen (SEUH) 2015
  CEUR Workshop Proceeding Vol-1332
  26./27. Februar 2015, Dresden

2014

• Grundlage für Assistenzsysteme: Innovative Verfahren zur Bewegungsanalyse
  Michael Uelschen, Heinz-Josef Eikerling
  AAL-Kompakt, Technische Assistenzsysteme zur Unterstützung von selbstständigem Leben und Pflege
  4. Juni 2014, Osnabrück 
• Parallelität durch Tasks: Effiziente Suche in großen Zustandsräumen
  Michael Uelschen
  para//el 2014
  5. Mai 2014, Karlsruhe
• Innovative Verfahren zur Bewegungsanalyse für diagnostische Zwecke mittels kontaktloser Sensorik
  Heinz-Josef Eikerling, Michael Uelschen
  Barcamp Health-IT 2.0
  3. April 2014, Berlin
• Yes, we CAN! Die CAN-Bus-API im Linux-Kernel und was man damit anstellen kann
  Michael Uelschen
  iX 01/2014

Weitere Publikationen

Contactless Monitoring of Elderly or Disabled People and Patients with Commodity Electronics

The Challenge:
In order to keep or even improve the quality of life of elderly, impaired people or outpatients a stable and familiar environment is preferable. Often these people require some attention. Unusual behaviors may indicate illnesses requiring treatments. A monitoring application could for instance do fall detection, report a collapse due to severe sugar imbalance, or record the change of activity after medication of antihistamines. Such assistance system would inform a contact person, supervisor, or health consultant in case of detecting such critical situation. We propose a solution that is implemented locally so that no critical data is leaked and acts autonomously. It does not require any interaction with the monitored person and it works contactless. This latter aspect is very important since other solutions require that the person has to wear a belt, to carry some kind of device sending “still alive” signals, or in the least favorable scenario the person is physically connected to a monitoring system. For specific targeted groups of people such as dementia patients, children, or people suffering from mental illnesses an assistance system that is not contactless just have limited acceptance and poor usability. Moreover the right usage of the equipment has to be continuously checked by care givers thus significantly increasing the cost of deployment and maintenance when compared to a contactless solution.
Contact Information

If you have any questions on this project please contact:
Prof. Dr.-Ing. Michael Uelschen or Prof. Dr. Heinz-Josef Eikerling
This project is supported by Bayer Healthcare Grants4Apps.