The efficient implementation of research projects and the accompanying derivation of products and projects that will change the future, is the task of our research and development department.
Research, development and innovation form the basis for Germany's prosperity and competitiveness
As a modern IT company, we have been driving forward digitization in Germany with our partners and customers for more than 20 years. Our focus is on the technologies of the future that will enable the German economy to remain at the forefront of the technological nations in the long term.
Artificial Intelligence, Augmented Reality, IoT and Big Data are politically and economically relevant and therefore our current R&D focus.
In order to be always up-to-date in our focus areas and to advance them constructively, we cooperate with various research and development partners and participate continuously in (inter)national research projects.
Our partners include various industrial companies for operational implementation as well as the universities and colleges in Osnabrück. In addition, we cooperate with renowned institutes and associations, such as the German Research Institute for Artificial Intelligence (DFKI) or the Lower Saxony Innovation Association SmartHybrid.
German Research Center for Artificial Intelligence
DFKI was founded in 1988 as a non-profit public-private partnership (PPP). It maintains locations in Kaiserslautern, Saarbrücken, Bremen, a project office in Berlin, a laboratory in Lower Saxony and branch offices in St. Wendel and Trier. DFKI is Germany's leading business-oriented research institution in the field of innovative software technologies based on artificial intelligence methods.
As a practice partner of the "SmartHybrid" innovation network, we support medium-sized companies in digital transformation - scientifically neutral and based on the latest IT trends. Digital technologies such as the Internet of Things or Virtual & Augmented Reality are of central importance for research. Their integration into business processes allows new digital services to be developed for many types of products.
University of Osnabrück
Together with the University of Osnabrück and other partners, we are developing a new cloud solution for the agricultural and food industry as a part of the Agri-Gaia project. As a cross-manufacturer infrastructure with AI elements, Agri-Gaia enables efficient data exchange in agriculture.
Furthermore, we have already been able to accompany numerous students in their practical phase and subsequent practical thesis and support them in their start into professional life in cooperation with the University of Osnabrück.
University of Applied Sciences
In addition to a cooperation of the university, there has been a cooperation with the universities of the region for years. Numerous research projects and events, such as the GDCR, complete our cooperation.
Students from the Osnabrück University of Applied Sciences are also welcome to join us. Together we find suitable topics for the practical phase and final thesis. We are proud that many graduates subsequently become permanent team members of our LMIS and thus have an ideal start to their careers.
In the heart of Bochum lies the city's oldest university, where the first students completed their training for the mining industry as early as 1816. Today, the THGA continues to develop the legacy of its industrial roots in a future-oriented manner and provides students with the know-how to solve the engineering challenges of tomorrow and the day after tomorrow in its application-oriented degree programs. Teaching and research at the THGA are optimally aligned with the requirements in industry - whether in the energy sector, in the sustainable use of raw materials or in industrial production.
RWTH offers competence, research and practice-oriented studies with the aim of preparing students to become highly qualified and leaders in society, business and science. There are currently 47,000 students enrolled in 150 degree programs, including more than 12,477 international students from over 138 countries. National rankings and international assessments attest to RWTH graduates' strong ability to master complex tasks, to solve problems constructively in teamwork, and to take on leadership tasks.
The Bulgarian Academy of Sciences
The Bulgarian Academy of Sciences is the leading scientific center in Bulgaria (BAS). 25 scientists from the Bulgarian Academy of Sciences (BAS) are among the top 2% of top scientists in the world, according to a ranking by Stanford University. Scientific and applied research is implemented in the Academy in nine departments covering all areas of human knowledge. We conduct PhD programs / doctoral programs in cooperation with the BAS and the European Polytechnical University and offer lectures to promote international exchange.
European Polytechnical University
Established in 2010, the European Polytechnical University (EPU) is a private engineering university located in the Bulgarian city of Pernik. The EPU is characterized by the dynamic combination of contemporary tuition, scientific research activities, and academic and business innovationprojects. In cooperation with the EPU and the the Bulgarian Academy of Science, our LMIS AG conducts PhD programs / doctoral programs and offers lectures to promote international exchange.
THE LMIS RESEARCH TEAM
Shaping the digital future.
This is our claim, with which we pursue the goal of efficiently implementing research projects in order to derive IT products and projects that will change our future sustainably. This is the self-image of all LMIS colleagues and the greater task of our research and development department. This department consists not only of our experts who hold doctorates and contribute to the German research landscape through their regular publications.
In addition to our colleagues, who are passionate about their focus topics, we also always employ students who either support us during their studies or enrich our know-how with their theses. After their graduation, we transfer our students to the specialist departments and thus always integrate the latest findings into our knowledge pool.
What makes us unique is our passion for cutting edge technologies and up-to-date knowledge. From our students to our CEO & Founder, who did his PhD in the context of AI and continues to research.
OUR LATEST GAIA-X PROJECT
We are currently involved in the European cloud project GAIA-X, which is dedicated to building a networked, open data infrastructure based on European values. GAIA-X is designed to secure Europe's independence and innovative ability by means of digital sovereignty. Until now, there have been few alternatives to the major cloud providers for companies driving digitization in Germany. These hyperscalers are headquartered in jurisdictions that are in some cases not compliant with the DSGVO, which means that the infrastructure does not fully meet the requirements of European companies. Moreover, if in-house developed applications and innovations, business-critical enterprise software or personal data are located in these clouds, this not only raises data protection issues.
The GAIA-X project was created through an initiative of the German federal government and today it brings together representatives of over 300 organizations from many countries. It is considered as one of the most important political and technological projects in Europe and is therefore experiencing an enormous boost. With GAIA-X, an important element for the further digitalization of many areas of life can be created. Only if it is possible to turn data into information, through trustworthy technologies, can the potential of digital transformation be fully exhausted. To achieve this, however, all participants must have full control over their data at any time. Within the project, we are developing concrete use cases and application scenarios in order to implement new business models for companies using artificial intelligence on the GAIA-X platform.
A Next Generation European Data Infrastructure
Agri-Gaia is designed as a decentralized infrastructure for the exchange of data and algorithms in agriculture. GAIA-X is used as the basic infrastructure to implement, for example, identity management and semantic description of services and data.
GAIA-X is based on proven European strengths. These include, among other things, the diversity of its offerings and strong medium-sized and decentralized structures. In this way, the numerous investments in digital technologies spread across Europe are linked and have a greater impact.
YOUR CONTACT PERSON
„That is really innovative! That is our claim and the claim that our customers have towards us. It's about questioning and realizing the possibilities of AI, mixed reality or miniature sensor systems with which measure and manage data in real life and carry out optimizations. To generate this knowledge, we are very engaged in research and development. Together with our partners, we develop solutions that work."
We love exchange and knowledge transfer. Our experts have published their knowledge and experiences from practice:
Barenkamp, M. (2021). Why the earth is getting a digital twin.
In: Wirtschaftsinformatik & Management.
Barenkamp, M. & (2021). Blockchain and Smart Contracts using the example of land transfer.
In: Zeitschrift für das Recht der digitalen Wirtschaft, 9, pp. 339-344.
Butz, R., Schulz, R., Hommersom, A., van Eekelen, M.(2021). What is understandable in Bayesian network explanations?.
In: Explainable Artificial Intelligence in Healthcare.
Barenkamp, M. (2020). A New IoT Gateway for Artificial Intelligence in Agriculture.
In: 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), Istanbul, pp. 1–5.
Barenkamp, M. (2020): IoT Security Best Practices. Presentation of a Security and Authentication Concept in the Realization of (Industrial) Internet of Things (IIoT) Applications - A Case Study on Client Side Authentication in IoT.
In: HMD Praxis der Wirtschaftsinformatik.
Barenkamp, M. (2020). Artificial intelligence in software development.
In: Wirtschaftsinformatik & Management, 12(2), pp. 120–129.
Barenkamp, M. (2020). UI generation from handwriting in the design sprint process.
In: Informatik Spektrum, 43(3), pp. 211–219.
Barenkamp, M. & Niemöller, D. (2020). ARchitecture — Insights From Theory and Practice.
In: 2020 International Conference on Electrical, Communication, and Computer Engineering (ICECCE), Istanbul, pp. 1–6.
Barenkamp, M., Rebstadt, J. & Thomas, O. (2020). Applications of AI in classical software engineering.
In: AI Perspect, 2(1), pp. 1–15.
Barenkamp, M., Thomas, O. & Zarvic, N. (2019). „Agile“ – Just a Buzzword?.
In: Wirtschaftsinformatik & Management, 11(4), pp. 224–237.
Barenkamp, M., Schoenke, J., Zarvic, N. & Thomas, O. (2019). IoT Best Practices. Identify and address pitfalls in the realization of (Industrial) Internet of Things (IIoT) projects at an early stage.
In: HMD, 56, pp. 1157–1177.
Wang, W.-C., Yang, X., Wieduwilt, T., Schmidt M. A., Zhang, Q.-Y. & Wondraczek, L. (2019). Fluoride-Sulfophosphate/Silica Hybrid Fiber as a Platform for Optically Active Materials.
In: Front. Mater. 6(12), Article 148.
Butz, R., Hommersom, A., van Eekelen, M. (2018). Explaining the most probable explanation.
In: Scalable Uncertainty Management (Best Student Paper Award).
Metzger, D., Niemöller, C., Jannaber, S., Berkemeier, L., Brenning, L. & Thomas, O. (2018). The next generation – Design and implementation of a smart glasses-based modelling system.
In: Enterprise Modelling and Information Systems Architectures, 13(18), pp. 1–25.
Metzger, D., Niemöller, C. & Thomas, O. (2017). Design and demonstration of an engineering method for service support systems.
In: Information Systems and e-Business Management, 15, pp. 789–823.
Metzger, D., Niemöller, C., Wingert, B., Schultze, T., Bues, M. & Thomas, O. (2017). How Machines are Serviced – Design of a Virtual Reality-based Training System for Technical Customer Services.
In: J. M. Leimeister & W. Brenner (Ed.). Proceedings of the 13th International Conference on Information Systems, St. Gallen, pp. 604–618.
Niemöller, C., Metzger, D. & Thomas, O. (2017). Design and Evaluation of a Smart Glasses-based Service Support System.
In: J. M. Leimeister & W. Brenner (Ed.). Proceedings of the 13th International Conference on Information Systems, St. Gallen, pp. 106–120.
Niemöller, C., Zobel, B., Berkemeier, L., Metzger, D., Werning, S., Adelmeyer, T., Ickerott, I. & Thomas, O. (2017). Are Smart Glasses the Future of Digitalization of Work Processes? Explorative Case Studies of Future Use Scenarios in Logistics.
In: J. M. Leimeister & W. Brenner (Ed.). Proceedings of the 13th International Conference on Information Systems, St. Gallen, pp. 410–424.
Yang, X., Scannell, G., Jain, C., Poletto Rodrigues, B., Schmidt M. A., & Wondraczek, L. (2017). Permanent structural anisotropy in a hybrid fiber optical waveguide.
In: Appl. Phys. Lett. 111, 201901.
Metzger, D., Niemöller, C., Berkemeier, L., Brenning, L. & Thomas, O. (2016). From Technician to Modeler - Design and Development of a Smart Glasses System for Runtime Modeling of Service Processes.
In: O. Thomas, M. Nüttgens & M. Fellmann (Ed.). Smart Service Engineering. Concepts and application scenarios for digital transformation, Wiesbaden: Springer Gabler, pp. 193–213.
Niemöller, C., Metzger, D., Fellmann, M., Özcan, D. & Thomas, O. (2016). Shaping the Future of Mobile Service Support Systems – Ex-Ante Evaluation of Smart Glasses in Technical Customer Service Processes.
In: H. C. Mayr & M. Pinzger (Ed.). Informatic, Klagenfurt: Gesellschaft für Informatik (LNI 259), pp. 753–767.
Metzger, D., Niemöller, C. & Thomas, O. (2016). Hybrid education and training - How data glasses are changing tomorrow's learning and working environment.
In: A. Hohenstein & K. Wilbers (Ed.). Handbook E-Learning. Expert knowledge from science and practice - strategies, instruments, case studies., 62. Erg.-Lfg., Köln: Verlag Deutscher Wirtschaftsdienst, pp. 1–17.
Metzger, D., Niemöller, C., Zarvic, N., Welk, M. & Thomas, O. (2015). Revolution in customer service through smart services.
In: IM+io Fachzeitschrift für Innovation, Organisation und Management, 2, pp. 39–43.
Niemöller, C., Özcan, D., Metzger, D. & Thomas, O. (2014). Towards a Design Science-Driven Product-Service System Engineering Methodology.
In: M. C. Tremblay, D. VanderMeer, M. Rothenberger, A. Gupta & V. Yoon (Ed.). Design Science Research in Information Systems and Technologies, LNCS 8463, Miami: Springer, Cham, pp. 180–193.
Luebbers, D., Grimmer, U. & Jarke, M. (2003). Systematic development of data mining-based data quality tools.
In: Proceedings of the 29th international conference on Very large data bases, 29, VLDB Endowment, pp. 548–559.
Rabinowicz. S, Butz. R, Hommerson. A, Williams. M. (2018). CSBN: a hybrid approach for survival time prediction with missing data.
In: Advanced Analytics and Learning on Temporal Data.
Rabinowicz. S, Butz. R, Hommerson. A, Williams. M. (2017). A prognostic model of glioblastoma multiforme using survival bayesian networks.
In: Artificial Intelligence in Medicine.