fortiss research

fortiss Research

From fundamental research to marketable prototypes

fortiss has established itself in the world's top research on central topics of Software & Systems Engineering, AI Engineering and IoT Engineering and is considered a recognized partner for demanding questions in software development and Artificial Intelligence.

The institute develops and operates high-performance software with reliable functionality, performance, resilience, persistence, security and maintainability. The special focus is on the integration of model-driven software development with data-driven programming of AI, for the controllable development of a new generation of increasingly autonomous and also decentralized software systems.

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    Research focus areas

    Software & Systems Engineering

    The classical methods of model-based software and system development are extended and integrated with new development methods for data-driven applications. Until now, the focus has been on ensuring the reliability and security of relatively small, centralized and automated systems operating in predictable environments. Current and future requirements are increasingly shifting to ensuring trustworthiness of larger, dynamically networked, self-learning and constantly evolving, often autonomously acting systems.

    Current focus topics include the structured development of trustworthy autonomous systems, as well as the analysis and optimization of software and system architectures. Additionally, research priorities encompass software engineering for data-driven applications, the utilization of AI methods in software engineering, and the assurance and certification of large software systems.

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    AI Engineering

    Despite technological advances that have led to the proliferation of AI-based and increasingly autonomous systems, the question of the level of trust that can be placed in these learning-based software systems remains. A new generation of robust AI technology that makes timely and confident decisions in uncertain, unpredictable environments is therefore needed for a wide range of applications. Their results are comprehensible, explainable, and resistant to erroneous input and targeted attacks.

    In addition, they can process ever-increasing amounts of data, but also increasingly derive useful insights from small data sets without making significant compromises to confidentiality and privacy. When developing and operating AI-powered software systems, it is important to take an engineering approach to ensure that AI technology can be used in mission-critical and security-relevant applications in the future.

    IoT Engineering

    Prerequisites for a flexible, software-based infrastructure that adapts and optimizes itself as needed are the deep embedding of sensor, computing and communication capabilities in existing systems and the penetration of traditional, physical infrastructures. The foundation for smart infrastructures and the decentralized and increasingly data-based services that belong to them lies in reliable, software-based, decentralized systems. These are resilient to external influences, disruptions and also attacks. The data-based services must be transparent and interpretable so that the causes and reasons for decisions to act can be understood and traced.

    To achieve this, a communication network with low latency, high reliability and security must be continuously developed to provide cloud computing resources on demand. One challenge is to determine when and which computations take place at the edge of the network (edge computing) and when data is transferred to cloud computing functions. And new models of system programming are needed, especially for decentralized resource coordination, authorization, evidence, proof of compliance with relevant regulations, and accountability.

    Fields of research

    Research results

    fortiss brochure

    fortiss brochure

    Download pdf - german​​​​​​​

    Annual Report AI Engineering 2020

    Research partnerships

    Logo Aarhus University, Denmark
    Logo Association for Computing Machinery (ACM)
    Logo German Aerospace Center (DLR)
    Logo GaiaX
    Logo International Software Engineering Research Network (ISERN)
    Logo OpenEMS Association e.V.
    Logo SafeTRANS
    Logo University Lusófona, Portugal
    Logo The 5G Infrastructure Public Private Partnership
    Logo AIOTI  Alliance for Internet of Things Innovation
    Logo The Bavarian Research Institute for Digital Transformation (bidt)
    Logo euRobotics Aisbl
    Logo Gesellschaft für Informatik
    Logo Ludwig-Maximilians-University Munich LMU
    Logo Open Energy Platform OEP
    Logo Software Engineering Institute, Shanghai
    Logo University Lusófona, Portugal
    Logo 6G SNS IA
    Inside Industry Association
    Logo Blekinge Institute of Technology, Sweden
    Logo Fraunhofer Gesellschaft
    Logo Institute of Electrical and Electronics Engineers (IEEE)
    Logo Open District Hub e.V.
    Logo Ostbayerische Technische Hochschule Amberg Weiden
    Logo SRI International
    Logo Technical University of Munich TUM
    Logo Université Grenoble Alpes VERIMAG