Prof. Dr.-Ing. habil. Jorge Marx Gómez – Professur Wirtschaftsinformatik VLBA.

Curriculum Vitae – Prof. Dr.-Ing. habil. Jorge Marx Gómez
Since 2006 Prof. Dr.-Ing. Jorge Marx Gómez is Full Professor and the Head of the Chair of Business Information Systems (Very Large Business Applications) at the Carl von Ossietzky University of Oldenburg (Germany). He is the Director of the Center for Environmental and Sustainability Research (COAST) at Oldenburg University and board member of the Energy Group at OFFIS-Institute (Oldenburg). Furthermore, he is the German speaker of the working group Environmental Management Information Systems in the GI (Gesellschaft für Informatik e.V.) association. In addition to the abovementioned positions he is a board member of the Oldenburg Center for Sustainability Economics and Management – CENTOS (Oldenburg University) and a board member of the Open Source Business Alliance Group (OSB).
Prof. Dr. Marx Gómez studied Computer Engineering and Industrial Engineering at the University of Applied Science in Berlin (Germany). He was a lecturer and researcher at the Otto-von-Guericke-University Magdeburg (Germany) where he also obtained a PhD degree in Business Information Systems in 2001. From 2002 until 2003 he was a visiting professor for Business Informatics at the Technical University of Clausthal (Germany) and worked as guest lecturer in different countries. In 2004 he received his postdoctoral lecture qualification (Habilitation) at the Otto-von-Guericke-University Magdeburg. In 2004 he received a Honorary Professorship in Business Informatics at Universidad Central de las Villas (Cuba).
Prof. Dr. Marx Gómez’s research interests include business information systems, federated ERP systems, software technology, business intelligence, data science, deep learning, interoperability, environmental management information systems, ICT for sustainability, and e- and mobile commerce. Prof. Dr. Jorge Marx Gómez successfully coordinated several worth mentioning national and international research (BMBF, BMWK, BMEL, BMZ), capacity building and mobility projects (Tempus, Erasmus Mundus, Erasmus+, DAAD) and participated in several EU-FP7 and EU-Horizon projects.
Prof. Dr. Marx Gómez is the main academic coordinator and grant holder of the GIZ/DAAD funded project dSkills@EA – CENIT@EA: Digital Skills for an Innovative East African Industry (center of Excellence on ICT for East Africa).
Jorge Marx Gómez is in charge of developing and advancing artificial intelligence technologies through different applications, use-cases and real scenarios carried out in the Department of Computing Sciences (Group Business Informatics VLBA) at Oldenburg University. Designing, developing and implementing AI systems that can solve complex problems, automate processes, and improve the efficiency of businesses is the main focus area in teaching and research. This includes deep understanding of machine and deep learning principles in order to develop proper algorithms and models that can be used to create intelligent systems.
A list (excerpt) of current research AI and data science projects:
The living lab project “5G Smart Country” aims at developing and testing 5G applications in smart farming and forestry in Lower Saxony (Germany). Data from forest and farming will be collected using IoT sensors and drones with special remote sensing cameras. AI and data analytical algorithms will serve to understand the data and make the right/required decisions,
BITS – (Bicycles and Intelligent Transport Systems): The demonstration of ITS applications and cycling data will allow other European countries to use cycling data for applications and policies. The effectiveness of ITS solutions will be evaluated, challenges identified and results disseminated to other regions using AI and data science.
The goal of the research project CoLDa (Collaborative Machine Learning for Data Value Creation) is the practical research and further development of Federated Machine Learning in the application area of data integration as well as Natural Language Processing (NLP).
DigiSchwein (Cross innovation and digitalisation in animal-friendly pig farming with consideration of resource protection): With the aid of the early-warning system “DigiSchwein”, animal welfare is to be promoted. Further goals are to increase efficiency when using crucial operating resources as well as the protection of the environment through nutrient reduction. Moreover, the use of modern technologies will further expand sustainable agriculture. By developing specific data products, the farmer should also be supported in their daily work activities.
Calculation.AI (Automated offer processing with AI) has the goal of supporting STRABAG AG’s offer processing and calculation in the construction industry and automating it by means of an IT solution supported through AI and data science.
TaDeA (Tax Defense Analysis): Project goal is the early detection of sales tax fraud cases and aggressive tax avoidance practices with the help of AI and data analytics