In only a few years, the digital revolution has changed the face of our society and an evolutionary leap is taking place right before our eyes. Never before have the physical and virtual worlds been so closely connected. In the 21st Century, the digital age is transforming the way we live in every corner of the world. Communication, consumption, food, and learning: they all happen online. With big data and data analysis being harnessed to fight against challenges such as the Corona pandemic.
Times of crisis are not the only proof that digitalisation means far more than just realising technical mega trends. Whether it be in health research or logistics, telecommunications, or energy supply, in production and services: Digital innovations harbour the potential to protect our lives, and to improve them in a way which is sustainable.
Progress Bit by Bit
There are boundless opportunities: Digitally connected intelligent things and machines not only facilitate the movement and production of goods, but they also optimise their use, maintenance, repair, and recycling. Smart homes, smart cities and autonomous driving also make it possible to connect infrastructure and traffic to intelligently connected systems that interact with one another. It only takes a matter of seconds for artificial intelligence to detect patterns in inconceivable masses of data, text, and images – this creates benefits for medicine, agriculture, logistics and many other industries and areas of life.
As the world continues to connect bit by bit, it will also make it more vulnerable. Despite all the progress, the safety of hardware, software and data streams is as important as our decision how and in which context we want to implement technical possibilities based on socio-economic aspects.
BayWISS at the Interface to the Future
Research projects undertaken by the BayWISS doctoral candidates play a role in making the Fourth Industrial Revolution a beneficial reality: How can an app help care for patients? How can augmented reality glasses enable humans to communicate with machines? How can robots track down injured persons in regions hit by disaster? How do drones help to increase harvest yields in an environmentally sustainable way? How can it be that autonomous driving is also tantamount to safe driving – even when considering liability issues? How do we manage smart grids in order to promote the energy transition and increase climate protection?
The BayWISS Joint Academic Partnership “Digitalisation” connects strong partners with their ideas, outcomes, and experiences at the interface between technology, communication, and social sciences across all types of university. When networked, research fields such as big data and data analytics, robotics and telematics, human-computer media and information
Our Current Thematic Focuses:
- Big Data/ analytics
- Digitalisation in industrial production and services
- Intelligent networks
- Information technology in the health system and health research
- Human-computer-media
- Robotics and telematics
- Safety of hardware, software, and data
- Economic and social aspects of information systems in the context of application
Our Doctoral Projects
© Franck / unsplash
© Lehrstuhl Latoschik
Infradar-SLAM: Light-Weight Indoor 3D SLAM Based on Infrared- and Radar-Fusion
With the rapid development of indoor robots, simultaneous localization and mapping (SLAM) has become a popular area of research in robotics.…
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Technische Hochschule Nürnberg
Prof. Dr. Stefan May
Forschungsschwerpunkte:
Mobile Robotik,
* Berührungslose Lokalisation
* 2D/3D-Kartographie
* Autonome Navigation
Projects:
- Development of Sensor- and Data Fusion Concepts and Algorithms for Safe Autonomous Robot Navigation and Manipulation in Clinical Environments
- Infradar-SLAM: Light-Weight Indoor 3D SLAM Based on Infrared- and Radar-Fusion
- Visual Human Body Weight Estimation with Focus on Clinical Applications
- Befahrbarkeitsanalyse in unwegsamem Gelände unter Berücksichtigung der kinematischen Konzepte mobiler Roboter
- Sensor Fusion for Precise Mapping of Transparent and Specular Reflective Objects
Julius-Maximilians-Universität Würzburg
Prof. Dr. Andreas Nüchter
- 3D Robot Vision
- Robotics and Automation
- Telematics & Geomatics
- Sensing and Perception
- Semantics
- Machine Vision
- Cognition
- Artificial Intelligence
Projects:
- Development of Sensor- and Data Fusion Concepts and Algorithms for Safe Autonomous Robot Navigation and Manipulation in Clinical Environments
- Infradar-SLAM: Light-Weight Indoor 3D SLAM Based on Infrared- and Radar-Fusion
- Synergetic use of Sentinel-1 and Sentinel-2 data for large-scale Land cover/Land use mapping
- Sensor Fusion for Precise Mapping of Transparent and Specular Reflective Objects
- Visual Human Body Weight Estimation with Focus on Clinical Applications
- Befahrbarkeitsanalyse in unwegsamem Gelände unter Berücksichtigung der kinematischen Konzepte mobiler Roboter
- Development, Simulation and Evaluation of Mobile Wireless Networks in Industrial Applications
Development of Sensor- and Data Fusion Concepts and Algorithms for Safe Autonomous Robot Navigation and Manipulation in Clinical Environments
If we want robots to cooperate with humans “naturally” in high-risk environments (e.g. a clinic), the robots need to develop some form of higher…
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Julius-Maximilians-Universität Würzburg
Prof. Dr. Andreas Nüchter
- 3D Robot Vision
- Robotics and Automation
- Telematics & Geomatics
- Sensing and Perception
- Semantics
- Machine Vision
- Cognition
- Artificial Intelligence
Projects:
- Development of Sensor- and Data Fusion Concepts and Algorithms for Safe Autonomous Robot Navigation and Manipulation in Clinical Environments
- Infradar-SLAM: Light-Weight Indoor 3D SLAM Based on Infrared- and Radar-Fusion
- Synergetic use of Sentinel-1 and Sentinel-2 data for large-scale Land cover/Land use mapping
- Sensor Fusion for Precise Mapping of Transparent and Specular Reflective Objects
- Visual Human Body Weight Estimation with Focus on Clinical Applications
- Befahrbarkeitsanalyse in unwegsamem Gelände unter Berücksichtigung der kinematischen Konzepte mobiler Roboter
- Development, Simulation and Evaluation of Mobile Wireless Networks in Industrial Applications
Technische Hochschule Nürnberg
Prof. Dr. Stefan May
Forschungsschwerpunkte:
Mobile Robotik,
* Berührungslose Lokalisation
* 2D/3D-Kartographie
* Autonome Navigation
Projects:
- Development of Sensor- and Data Fusion Concepts and Algorithms for Safe Autonomous Robot Navigation and Manipulation in Clinical Environments
- Infradar-SLAM: Light-Weight Indoor 3D SLAM Based on Infrared- and Radar-Fusion
- Visual Human Body Weight Estimation with Focus on Clinical Applications
- Befahrbarkeitsanalyse in unwegsamem Gelände unter Berücksichtigung der kinematischen Konzepte mobiler Roboter
- Sensor Fusion for Precise Mapping of Transparent and Specular Reflective Objects
Hybridization of Emotion Recognition Systems
Computerized emotion recognition refers to machines detecting humans’ emotional state. In the context of marketing, for instance, it enables…
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Julius-Maximilians-Universität Würzburg
Prof. Dr. Frank Schwab
Interessen und Forschungsschwerpunkte:
Evolutions- und emotionspsychologische Aspekte der Massen- und Individualmedien:
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Film und Bewegtbildkommunikation (Schwerpunkt: Kino und Digitales Bewegtbild)
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Psychologische Mechanismen der Medienselektion und Mediennutzung (Schwerpunkt Bio-psychologische Grundlagen von Mediennutzungsmotiven)
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Evolutionäre Medienpsychologie (Schwerpunkt: Theorie und Phylogenese von Spiel und Entertainment)
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Kommunikation in Unternehmen (Schwerpunkt: Interne (medienvermittelte) Organisationskommunikation)
Mitglied der DGPs (Fachgruppen: Medienpsychologie und Organisationspsychologie), der DGPuK (Rezeptionsforschung), der ICA, der MVE und der GIB.
Projects:
Hochschule für angewandte Wissenschaften Neu-Ulm
Prof. Dr. Philipp Brune
Forschungsschwerpunkte:
- Angewandte Künstliche Intelligenz und Natural Language Processing
- Web Engineering
- Enterprise Application Engineering und Legacy Modernization
- Software Engineering Education
- Health Information Systems
Projects:
Julius-Maximilians-Universität Würzburg
Prof. Dr. Sebastian von Mammen
Forschungsschwerpunkte:
• Real-Time Interactive Systems (Visual Programming, Immersion, Software Engineering)
• Interactive Simulations (Serious Games, Simulations in Health, Logistics, Construction,...)
• Artificial Life (Self-Organisation, Adaptive Systems, Evolution)
• Artificial Intelligence (Agent-Based Modeling, Procedural Content Generation)
Projects:
Pro Mobile: Efficient and precise optimal positioning of mobile mapping system
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Technische Hochschule Würzburg-Schweinfurt
Prof. Dr.-Ing. Ansgar Brunn
Lehr- und Forschungsschwerpunkte:
- Photogrammetrie und Bildverarbeitung
- Fernerkundung
- Terrestrisches Laserscanning/Airborne Laserscanning
- Punktwolkenverarbeitung und -analyse
- 3D-Koordinatenmesstechnik in der Industrievermessung
- Web-Anwendungen und Geovisualisierung
- 3D-Modellierung
- Aus- und Weiterbildung
- Online-Lehre
Projects:
- Pro Mobile: Efficient and precise optimal positioning of mobile mapping system
- Slum mapping- the relationship between geometry and urban poverty in Ghana - a remote sensing and geographical information systems approach
- Virtuelle 3D-Rekonstruktion von zerstörten russisch-orthodoxen Kirchen aus unvollständigen Punktwolken
- Änderungsdetektion durch Analyse von Bildsequenzen und BIM-konformen Innenraummodellen
Technische Universität München
Prof. Dr. Christoph Holst
Prof. Holsts (*1986) Forschungsgebiet ist der Bereich der Ingenieurgeodäsie. Seine Forschungsschwerpunkte liegen auf der Entwicklung fortschrittlicher Methoden für die geodätische Überwachung von Infrastruktur-, Industrie- und Umweltobjekten, der Automatisierung des hochgenauen statischen und mobilen Laserscannings sowie der Qualitätsanalyse geodätischer Sensoren. Anwendung findet seine Forschung bei einer Vielzahl interdisziplinärer Aufgabenstellungen im Kontext der Digitalisierung der Realität.
Projects:
Society-Oriented Scientific and Engineering Discourse through Pop-Up Education
Limited knowledge of societally important computer science (CS) information can be a grave disadvantage. Therefore, members of society should be…
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Technische Hochschule Würzburg-Schweinfurt
Prof. Dr. Nicholas Müller
Schwerpunkte:
- Mensch-Computer-/Roboter-Interaktion
- Smart City
- Telepräsenz
Projects:
Universität Regensburg
Prof. Dr. Sven Hilbert
Themenschwerpunkte:
- Digitale Lernplattformen
- Logdatenanalyse
- Psychometrie
- Längsschnittanalysen
Projects:
Modellierung von Security zum Testen von System-Modellen
Die steigende Anzahl an Cyberangriffen [1] betrifft nicht nur Standard-IT, sondern zunehmend auch vernetzte Fahrzeuge [2]. Für die Automobilbranche…
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Technische Hochschule Ingolstadt
Prof. Dr.-Ing. Hans-Joachim Hof
Forschungsschwerpunkte:
- Automotive Security
- Embedded Security
- Software Security
Projects:
Universität Passau
Prof. Dr. Elif Bilge Kavun
Forschungsschwerpunkte:
- sichere intelligente Systeme
- sichere Hardwaresysteme
- Design und Implementierung von kryptografischen Grundelementen
- leichtgewichtige Kryptografie
- physikalische Angriffe und Gegenmaßnahmen
Projects:
Slum mapping- the relationship between geometry and urban poverty in Ghana - a remote sensing and geographical information systems approach
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Universität Bayreuth
JProf. Dr. Meng Lu
Forschungsschwerpunkte:
Statistical Modelling
Spatio-temporal Data
Remote Sensing
Air Pollution and Geohealth
Projects:
Technische Hochschule Würzburg-Schweinfurt
Prof. Dr.-Ing. Ansgar Brunn
Lehr- und Forschungsschwerpunkte:
- Photogrammetrie und Bildverarbeitung
- Fernerkundung
- Terrestrisches Laserscanning/Airborne Laserscanning
- Punktwolkenverarbeitung und -analyse
- 3D-Koordinatenmesstechnik in der Industrievermessung
- Web-Anwendungen und Geovisualisierung
- 3D-Modellierung
- Aus- und Weiterbildung
- Online-Lehre
Projects:
- Pro Mobile: Efficient and precise optimal positioning of mobile mapping system
- Slum mapping- the relationship between geometry and urban poverty in Ghana - a remote sensing and geographical information systems approach
- Virtuelle 3D-Rekonstruktion von zerstörten russisch-orthodoxen Kirchen aus unvollständigen Punktwolken
- Änderungsdetektion durch Analyse von Bildsequenzen und BIM-konformen Innenraummodellen
Reinforcement Learning for Energy Management Systems
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Technische Universität München
Prof. Dr. Thomas Hamacher
..
Projects:
- Konzeption eines Verfahrens zur technischen und wirtschaftlichen Abbildung, Bewertung und Nutzung von Flexibilitätsmaßnahmen in der Mittelspannungsnetzplanung
- Intelligente und fehlertolerante Modular-Multilevel-Cascade-Converter (ifMMCC) für zukünftige erneuerbare Energiesysteme unter beliebigen Netzfehlern
- Verlustoptimale und dynamische Regelung von elektrisch-erregten Synchronmaschinen
- Reinforcement Learning for Energy Management Systems
Hochschule für angewandte Wissenschaften Landshut
Prof. Dr. Maren Martens
Forschungsschwerpunkte:
- Operations Research
- Effiziente Algorithmen
- Datenanalyse & Statistik
- Maschinelles Lernen
Projects:
Hochschule für angewandte Wissenschaften Landshut
Adaptive Feedback for mHealth-Applications with Gamification and Serious Games
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Hochschule für angewandte Wissenschaften Neu-Ulm
Prof. Dr. Johannes Schobel
Forschungsschwerpunkte:
- mHealth Anwendungen
- mobile Datenerfassung in medizinischen & psychologischen Szenarien
- Entwicklung von digitalen Healthcare Services
- Gamification in mHealth und eHealth
- Sensorik in mHealth Anwendungen
Projects:
Julius-Maximilians-Universität Würzburg
Prof. Dr. Rüdiger Pryss
Forschungsschwerpunkte:
- Digital Health
- Mobile Computing
- Data Engineering
Projects:
Fault Detection and Monitoring of District Heating Systems using Machine Learning
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Technische Hochschule Rosenheim
Prof. Dr.-Ing. Jochen Schmidt
Forschungsschwerpunkte:
- Bildanalyse
- maschinelles Lernen
Projects:
Friedrich-Alexander-Universität Erlangen-Nürnberg
Prof. Dr.-Ing. habil. Andreas Maier
Projects:
- Multipositionale Computertomographie zur Vermeidung und Reduktion von Bildartefakten
- Fault Detection and Monitoring of District Heating Systems using Machine Learning
- Demand Response Management Using Machine Learning Methods
- Machine Learning Based Workflow Enhancements in Magnetic Resonance Imaging
- Visualisierung und Analyse von heterogenen klinischen Daten
Synergetic use of Sentinel-1 and Sentinel-2 data for large-scale Land cover/Land use mapping
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Technische Hochschule Würzburg-Schweinfurt
Prof. Dr. Melanie Brandmeier
- Environmental Remote Sensing
- Machine Learning
Projects:
Julius-Maximilians-Universität Würzburg
Prof. Dr. Andreas Nüchter
- 3D Robot Vision
- Robotics and Automation
- Telematics & Geomatics
- Sensing and Perception
- Semantics
- Machine Vision
- Cognition
- Artificial Intelligence
Projects:
- Development of Sensor- and Data Fusion Concepts and Algorithms for Safe Autonomous Robot Navigation and Manipulation in Clinical Environments
- Infradar-SLAM: Light-Weight Indoor 3D SLAM Based on Infrared- and Radar-Fusion
- Synergetic use of Sentinel-1 and Sentinel-2 data for large-scale Land cover/Land use mapping
- Sensor Fusion for Precise Mapping of Transparent and Specular Reflective Objects
- Visual Human Body Weight Estimation with Focus on Clinical Applications
- Befahrbarkeitsanalyse in unwegsamem Gelände unter Berücksichtigung der kinematischen Konzepte mobiler Roboter
- Development, Simulation and Evaluation of Mobile Wireless Networks in Industrial Applications
Vergleich unterschiedlicher Deep Learning Ansätze im Hinblick auf Genauigkeit, Stabilität, Effizienz und Interpretierbarkeit
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Hochschule für angewandte Wissenschaften München
Prof. Dr. Alfred Nischwitz
Hochschule München - FK07 - Prof. Dr. Alfred Nischwitz (hm.edu)
Projects:
Technische Universität München
Entwicklung eines Referenzmodells zur Plattformökonomie von Hochschulen
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Hochschule für angewandte Wissenschaften Landshut
Friedrich-Alexander-Universität Erlangen-Nürnberg
Prof. Dr. Martin Matzner
Schwerpunkte:
Information Systems
Business Process Mangement
Service Engineering
Service Science
Process Mining
Projects:
Energy-Efficient Deep Learning-Based Image Compression for LPWANs on Resource-Constrained AIoT Devices
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Technische Universität München
PD Dr.-Ing. Daniel Müller-Gritschneder
Forschungsschwerpunkte:
- Entwurfsmethoden für eingebettete Systeme
- Edge Machine Learning (TinyML)
Projects:
Hochschule für angewandte Wissenschaften Landshut
Incentives for Sustainable Tranportation Behaviour Enabled by Digital Mobility Platforms
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Hochschule für angewandte Wissenschaften Neu-Ulm
Prof. Dr. Heiko Gewald
Forschungsschwerpunkte:
- Nutzung digitaler Ressourcen durch die alternde Gesellschaft
- Digitalisierung im Gesundheitswesen
- Smart Mobility
Link zum Forschungsinstitut
Projects:
Technische Universität München
Sichere leichtgewichtige authentifizierte Verschlüsselung für kritische Infrastrukturen im Internet der Dinge
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Technische Universität München
Prof. Dr.-Ing. Georg Sigl
Forschung:
- IT Sicherheit für Eingebettete Systeme und Systeme für das Internet der Dinge
- Einzigartige Identitäten und kryptographische Schlüssel für Systeme mit Hilfe von Physical Unclonable Functions (PUFs)
- Seitenkanal- und Fehlerattacken und Gegenmaßnahmen auf Chips
- Neue Methoden und Werkzeuge zur sicheren Implementierung kryptographischer Verfahren
- Benchmarking von Authenticated Encryption with Associated Data (AEAD) Algorithmen im Rahmen der Competition for Authenticated Encryption: Security, Applicability, and Robustness (CAESAR)
- Hardware Reverse Engineering
- Post-Quantum Cryptography
- Schutzmaßnahmen gegen Invasive Attacken auf Chips
- Mikroarchitekturelle Angriffe
Projects:
Ostbayerische Technische Hochschule Regensburg
Prof. Dr. Jürgen Mottok
Software Engineering Laboratory for Safe and Seucre Systems (LaS³)
Forschungsfelder:
- Software Engineering
- IT-Security
- Functional Safety
Projects:
Konzeption und Realisierung eines adaptiven Referenzmodells für agile und hybride Vorgehensmodelle im Produktentstehungsprozess der Automobilindustrie
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Hochschule für angewandte Wissenschaften Landshut
Friedrich-Alexander-Universität Erlangen-Nürnberg
Prof. Dr. Martin Matzner
Schwerpunkte:
Information Systems
Business Process Mangement
Service Engineering
Service Science
Process Mining
Projects:
Real-Time Signal Processing Algorithms for Interactive Music Analysis Applications
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Friedrich-Alexander-Universität Erlangen-Nürnberg
Prof. Dr. Meinard Müller
Wichtigste Forschungsfelder:
- Musikverarbeitung
- Music Information Retrieval
- Audio Signal Processing
Projects:
Technische Hochschule Deggendorf
Prof. Dr.-Ing. Gerhard Krump
Forschunsrichtung:
- Elektroakustik
- Psychoakustik
- Signalverarbeitung
Projects:
Investigation of Different Artificial Intelligence Approaches to Optimize Manufacturing Processes and Human-Machine Collaboration in I4.0 Manufacturing
Der gesellschaftliche Megatrend der Individualisierung verstärkt den zunehmenden Kundenwunsch nach maßgeschneiderten Lösungen. Um auf diese…
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Technische Universität München
Prof. Dr.-Ing. Alois Christian Knoll
Forschungsschwerpunkte:
- Autonomous systems
- Robotics and artificial intelligence
- Cognitive and neurorobotics
- Medical and sensor-based robotics
- Multi-agent systems
- Data fusion
- Adaptive systems
- Multimedia information retrieval and model-driven development of embedded systems
Projects:
- Investigation of Different Artificial Intelligence Approaches to Optimize Manufacturing Processes and Human-Machine Collaboration in I4.0 Manufacturing
- Application of Federated Learning Methods in Cooperative Intelligent Traffic Systems
- Synthesizing Adverse Weather Image Data to lmprove Object Detection in Bad Visibility Conditions
Technische Hochschule Rosenheim
Prof. Dr.-Ing. Oliver Kramer
Projects:
Exploring the power of AI in spectral analysis particularly leveraging simulation via transfer learning
Im Anwendungsfeld der Absorptionsspektroskopie, einem Teilgebiet der Chemometrie, werden bereits viele komplexe mathematische und statistische…
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Technische Universität München
Prof. Dr. Frank Jenko
Leiter des Bereichs Tokamaktheorie
Frank Jenko, geboren 1968 in Landshut, studierte Physik an der Technischen Universität München. Im Anschluss an die Promotion kam er 1998 als Wissenschaftlicher Mitarbeiter in das IPP. Nach Forschungsaufenthalten in den USA habilitierte er sich 2005 an der Universität Ulm und wurde Leiter einer IPP-Nachwuchsgruppe, die sich mit der Simulation von Plasmaturbulenz auf Höchstleistungsrechnern beschäftigte. 2014 ging er als Professor für Physik und Astronomie und Direktor des Plasma Science and Technology Institute an die University of California, Los Angeles.
Seit Januar 2017 ist er Wissenschaftliches Mitglied und Leiter des Bereichs Tokamaktheorie im IPP, seit 2018 Honorarprofessor für Computational Physics an der Technischen Universität München. Zu seinen Auszeichnungen zählt ein Starting Grant des Europäischen Forschungsrats (2011) sowie der Hans-Werner-Osthoff-Preis der Universität Greifswald (2004) und die Otto-Hahn-Medaille der Max-Planck-Gesellschaft (1999).
Projects:
Ostbayerische Technische Hochschule Regensburg
Prof. Dr. Rudolf Bierl
Projects:
- Entwicklung eines photoakustischen Spurengassensors zur Detektion von Pentan während des Aufschäumprozesses von Styropor
- Exploring the power of AI in spectral analysis particularly leveraging simulation via transfer learning
- Safety Systems for UAVs
- Mikro Trinkwasser Analyse Sensor
- Entwicklung eines Sensorsystems zur Analyse von Atemgas mittels photoakustischer Spektroskopie
Änderungsdetektion durch Analyse von Bildsequenzen und BIM-konformen Innenraummodellen
Methoden zur automatisierten Erfassung und Rekonstruktion von Gebäudeinnenbereichen gehören zu aktuellen Forschungsfragen der Informatik und…
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Technische Hochschule Würzburg-Schweinfurt
Prof. Dr.-Ing. Ansgar Brunn
Lehr- und Forschungsschwerpunkte:
- Photogrammetrie und Bildverarbeitung
- Fernerkundung
- Terrestrisches Laserscanning/Airborne Laserscanning
- Punktwolkenverarbeitung und -analyse
- 3D-Koordinatenmesstechnik in der Industrievermessung
- Web-Anwendungen und Geovisualisierung
- 3D-Modellierung
- Aus- und Weiterbildung
- Online-Lehre
Projects:
- Pro Mobile: Efficient and precise optimal positioning of mobile mapping system
- Slum mapping- the relationship between geometry and urban poverty in Ghana - a remote sensing and geographical information systems approach
- Virtuelle 3D-Rekonstruktion von zerstörten russisch-orthodoxen Kirchen aus unvollständigen Punktwolken
- Änderungsdetektion durch Analyse von Bildsequenzen und BIM-konformen Innenraummodellen
Technische Universität München
Auf künstlicher Intelligenz basierende rekonstruktive Verfahren zur Umfeldmodellierung
Seit der breiten Einführung von Head Mounted Devices (HMDs) für virtuelle und augmentierte Realitäten (VR, AR), setzen Firmen die Geräte zunehmend für…
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Hochschule für angewandte Wissenschaften München
Prof. Dr. Alfred Nischwitz
Hochschule München - FK07 - Prof. Dr. Alfred Nischwitz (hm.edu)
Projects:
Technische Universität München
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Julius-Maximilians-Universität Würzburg
Prof. Dr. Marc Erich Latoschik
The chair spans a broad area of HCI topics and research groups, from immersive and interactive systems, games engineering, or media informatics, to digital media processing.
Research Questions
How will we interact with current and future computing systems?
How do design choices, implemented metaphors, and technological finesse impact users concerning individual as well as social consequences?
In short: How do we build good interactive systems and how do we define good under this perspective?
Projects:
Technische Hochschule Nürnberg
Prof. Dr. Bartosz von Rymon Lipinski
Forschungsschwerpunkte:
- Bild-basierte Computergrafik
- Domänenspezifsche Sprachen im Kontext virtueller Welten
- Technologien für interaktive Geschichten
Projects:
Messen der Information Security Awareness in KMUs
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Friedrich-Alexander-Universität Erlangen-Nürnberg
Technische Hochschule Würzburg-Schweinfurt
Thematische Kartographie und 3D-Geovisualisierung in interaktiven VR-Anwendungen
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Julius-Maximilians-Universität Würzburg
Prof. Dr. Marc Erich Latoschik
The chair spans a broad area of HCI topics and research groups, from immersive and interactive systems, games engineering, or media informatics, to digital media processing.
Research Questions
How will we interact with current and future computing systems?
How do design choices, implemented metaphors, and technological finesse impact users concerning individual as well as social consequences?
In short: How do we build good interactive systems and how do we define good under this perspective?
Projects:
Technische Hochschule Würzburg-Schweinfurt
Prof. Dr. Mark Vetter
Projects:
Robuste Prädiktion von Verkehrsteilnehmern in einer urbanen Umgebung
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Technische Hochschule Deggendorf
Prof. Dr.-Ing. Nikolaus Mueller
- Autonomes Fahren, vor allem modellbasierter Ansatz
- Ansteuerverfahren von mehrphasigen elektrischen Maschinen
Projects:
Universität Regensburg
Prof. Dr. Bernd Ludwig
Forschungsschwerpunkte:
- Sprachbasierte Assistenzsysteme
- Food Recommender Systems
- Conversational Interfaces für eHealth-Systeme
Projects:
- Robuste Prädiktion von Verkehrsteilnehmern in einer urbanen Umgebung
- Anforderungsorientierte Optimierung, Evaluation und Validierung der praktischen Inhalte der Lehre in der Medizinischen Informatik in Hochschulen für angewandte Wissenschaften (HAW)
- Intersektorale Kommunikation und Datenaustausch zwischen ambulanter / (teil-) stationärer Altenpflege und Haus- / Facharzt
Entwicklung eines kombinierten Auslegungsverfahrens für radiale Ventilatoren auf Basis eines mit theoretischen Ansätzen, digitalen CFD-Berechnungen und physischen Versuchen trainierten künstlichen neuronalen Netzes (Metamodell)
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Hochschule für angewandte Wissenschaften Coburg
Friedrich-Alexander-Universität Erlangen-Nürnberg
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Technische Universität München
Prof. Dr.-Ing. Florian Holzapfel
Forschungsschwerpunkte:
- Flugsimulation und Flugdynamik
- Flugregelung und Flugführung
- Flugsteuerungsavionik und Flugsicherheit
Projects:
Ostbayerische Technische Hochschule Regensburg
Prof. Dr. Rudolf Bierl
Projects:
- Entwicklung eines photoakustischen Spurengassensors zur Detektion von Pentan während des Aufschäumprozesses von Styropor
- Exploring the power of AI in spectral analysis particularly leveraging simulation via transfer learning
- Safety Systems for UAVs
- Mikro Trinkwasser Analyse Sensor
- Entwicklung eines Sensorsystems zur Analyse von Atemgas mittels photoakustischer Spektroskopie
Service Innovation at Healthcare`s Frontline
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Technische Hochschule Ingolstadt
Prof. Dr. Andrea Raab-Kuchenbuch
Frau Prof. Dr. Andrea Raab ist Professorin für Marketing und
Dienstleistungsmanagement an der Technischen Hochschule Ingolstadt. Ihre Forschungsschwerpunkte im Bereich Gesundheitswesen beziehen sich primär auf die Themen Wertschöpfung im Gesundheitswesen im Lichte der Service-Dominant Logic, Einweiserbeziehungsmanagement, Zuweisermarketing, Digitalisierung der Patientenund Einweiserkommunikation sowie Gesundheitstourismus. Neben der regelmäßigen Publikation ihrer Forschungsergebnisse in der Fachpresse betreut Frau Prof. Raab wiederkehrend Promotionen und verschiedenste Forschungs- und Praxisprojekte.
Mehr erfahren Sie auf der Webseite der THI oder auf professor-raab.com.
Forschungsschwerpunkte:
- Dienstleistungsmanagement
- Marketingforschung
- Wertschöpfung im Gesundheitswesen im Lichte der Service-Dominant Logic /
Krankenhausmanagement
Projects:
Universität Bayreuth
Kamerabasiertes System zur Ermittlung der realen Aufspannsituation auf Werkzeugmaschinen
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Ostbayerische Technische Hochschule Regensburg
Prof. Dr.-Ing. Andreas Ellermeier
Forschungsschwerpunkt: Effizienzsteigerung beim Rüsten von Werkzeugmaschinen
Themen:
- Kamerabasierte Lageerkennung von Spannbauteilen während des Rüstprozesses und
- Aufbau eines virtuellen Abbildes der realen Spannsituation für die Kollisionsüberprüfung des NC-Programms
- Automatisierte Generierung von Rüstinformationen aus dem Arbeitsvorbereitungsprozess
Projects:
Universität Passau
Befahrbarkeitsanalyse in unwegsamem Gelände unter Berücksichtigung der kinematischen Konzepte mobiler Roboter
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Julius-Maximilians-Universität Würzburg
Prof. Dr. Andreas Nüchter
- 3D Robot Vision
- Robotics and Automation
- Telematics & Geomatics
- Sensing and Perception
- Semantics
- Machine Vision
- Cognition
- Artificial Intelligence
Projects:
- Development of Sensor- and Data Fusion Concepts and Algorithms for Safe Autonomous Robot Navigation and Manipulation in Clinical Environments
- Infradar-SLAM: Light-Weight Indoor 3D SLAM Based on Infrared- and Radar-Fusion
- Synergetic use of Sentinel-1 and Sentinel-2 data for large-scale Land cover/Land use mapping
- Sensor Fusion for Precise Mapping of Transparent and Specular Reflective Objects
- Visual Human Body Weight Estimation with Focus on Clinical Applications
- Befahrbarkeitsanalyse in unwegsamem Gelände unter Berücksichtigung der kinematischen Konzepte mobiler Roboter
- Development, Simulation and Evaluation of Mobile Wireless Networks in Industrial Applications
Technische Hochschule Nürnberg
Prof. Dr. Stefan May
Forschungsschwerpunkte:
Mobile Robotik,
* Berührungslose Lokalisation
* 2D/3D-Kartographie
* Autonome Navigation
Projects:
- Development of Sensor- and Data Fusion Concepts and Algorithms for Safe Autonomous Robot Navigation and Manipulation in Clinical Environments
- Infradar-SLAM: Light-Weight Indoor 3D SLAM Based on Infrared- and Radar-Fusion
- Visual Human Body Weight Estimation with Focus on Clinical Applications
- Befahrbarkeitsanalyse in unwegsamem Gelände unter Berücksichtigung der kinematischen Konzepte mobiler Roboter
- Sensor Fusion for Precise Mapping of Transparent and Specular Reflective Objects
Effiziente und zielgerichtete Sensibilisierung der Mitarbeiter von kleinen und mittelständischen Unternehmen für Informationssicherheit
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
since
Technische Hochschule Würzburg-Schweinfurt
Friedrich-Alexander-Universität Erlangen-Nürnberg
Alumni
Development, Simulation and Evaluation of Mobile Wireless Networks in Industrial Applications
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
to
Julius-Maximilians-Universität Würzburg
Prof. Dr. Andreas Nüchter
- 3D Robot Vision
- Robotics and Automation
- Telematics & Geomatics
- Sensing and Perception
- Semantics
- Machine Vision
- Cognition
- Artificial Intelligence
Projects:
- Development of Sensor- and Data Fusion Concepts and Algorithms for Safe Autonomous Robot Navigation and Manipulation in Clinical Environments
- Infradar-SLAM: Light-Weight Indoor 3D SLAM Based on Infrared- and Radar-Fusion
- Synergetic use of Sentinel-1 and Sentinel-2 data for large-scale Land cover/Land use mapping
- Sensor Fusion for Precise Mapping of Transparent and Specular Reflective Objects
- Visual Human Body Weight Estimation with Focus on Clinical Applications
- Befahrbarkeitsanalyse in unwegsamem Gelände unter Berücksichtigung der kinematischen Konzepte mobiler Roboter
- Development, Simulation and Evaluation of Mobile Wireless Networks in Industrial Applications
Technische Hochschule Würzburg-Schweinfurt
Prof. Dr. Marco Schmidt
Prof. Marco Schmidt beschäftigt sich mit dem Design und der Entwicklung komplexer Systeme für verschiedene Anwendungsfelder. Besonderes Interesse gilt Projekten aus den interdisziplinären Bereichen Informatik, Elektrotechnik, Kommunikation, Regelungstechnik und Telematik.
Projects:
Messung der Synchronität und Abschätzung der Konnektivität von in-vitro Spike-Trains
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
to
Prof. Dr. Andreas Bahmer
Projects:
Technische Hochschule Aschaffenburg
Prof. Dr.-Ing. Christiane Thielemann
Projects:
Security Challenges and Building Blocks for Robust Industrial Internet of Things Systems
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
to
Hochschule für angewandte Wissenschaften Augsburg
Prof. Dr.-Ing. Dominik Merli
Fachgebiete:
- IT-Sicherheit
- Embedded Security
- Industrial Security
Projects:
Technische Universität München
Prof. Dr.-Ing. Georg Sigl
Forschung:
- IT Sicherheit für Eingebettete Systeme und Systeme für das Internet der Dinge
- Einzigartige Identitäten und kryptographische Schlüssel für Systeme mit Hilfe von Physical Unclonable Functions (PUFs)
- Seitenkanal- und Fehlerattacken und Gegenmaßnahmen auf Chips
- Neue Methoden und Werkzeuge zur sicheren Implementierung kryptographischer Verfahren
- Benchmarking von Authenticated Encryption with Associated Data (AEAD) Algorithmen im Rahmen der Competition for Authenticated Encryption: Security, Applicability, and Robustness (CAESAR)
- Hardware Reverse Engineering
- Post-Quantum Cryptography
- Schutzmaßnahmen gegen Invasive Attacken auf Chips
- Mikroarchitekturelle Angriffe
Projects:
Deflectometric Measurement of the Topography of Reflecting Freeform Surfaces in Motion
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
to
Universität Passau
Hochschule für angewandte Wissenschaften Landshut
Prof. Dr. Christian Faber
· Optische Messtechnik
· 3D-Messverfahren
· Automatische Optische Inspektion (AOI)
· Industrielle Bildverarbeitung
· Kalibrierverfahren
Prof. Faber ist Vorstandsmitglied der „Deutschen Gesellschaft für angewandte Optik“ (DGaO); Näheres zu seinem Werdegang finden sie hier.
Projects:
Mask-based Black-box Attacks on Safety-Critical Systems that Use Machine Learning
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
to
Friedrich-Alexander-Universität Erlangen-Nürnberg
Prof. Dr.-Ing. Felix Freiling
Forschungsschwerpunkte:
- praktische IT-Sicherheit
- Softwaresicherheit
- forensische Informatik,
- Cyberkriminalität
Projects:
Technische Hochschule Nürnberg
Prof. Dr. Ramin Tavakoli Kolagari
Projects:
Smart Mobility in Germany: A Service-Dominant Logic Perspective
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
to
Hochschule für angewandte Wissenschaften Neu-Ulm
Prof. Dr. Heiko Gewald
Forschungsschwerpunkte:
- Nutzung digitaler Ressourcen durch die alternde Gesellschaft
- Digitalisierung im Gesundheitswesen
- Smart Mobility
Link zum Forschungsinstitut
Projects:
Technische Universität München
Multipositionale Computertomographie zur Vermeidung und Reduktion von Bildartefakten
Die Röntgen-Computertomographie (CT) wird nicht nur in der Medizin, sondern verstärkt auch in industriellen Bereichen wie Produktentwicklung,…
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
to
Technische Hochschule Deggendorf
Prof. Dr.-Ing. Jochen Hiller
.
Projects:
Friedrich-Alexander-Universität Erlangen-Nürnberg
Prof. Dr.-Ing. habil. Andreas Maier
Projects:
- Multipositionale Computertomographie zur Vermeidung und Reduktion von Bildartefakten
- Fault Detection and Monitoring of District Heating Systems using Machine Learning
- Demand Response Management Using Machine Learning Methods
- Machine Learning Based Workflow Enhancements in Magnetic Resonance Imaging
- Visualisierung und Analyse von heterogenen klinischen Daten
Software Security Design for Cyber-Physical Systems
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
to
Friedrich-Alexander-Universität Erlangen-Nürnberg
Technische Hochschule Nürnberg
Prof. Dr. Ramin Tavakoli Kolagari
Projects:
Virtuelle 3D-Rekonstruktion von zerstörten russisch-orthodoxen Kirchen aus unvollständigen Punktwolken
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
to
Technische Universität München
Technische Hochschule Würzburg-Schweinfurt
Prof. Dr.-Ing. Ansgar Brunn
Lehr- und Forschungsschwerpunkte:
- Photogrammetrie und Bildverarbeitung
- Fernerkundung
- Terrestrisches Laserscanning/Airborne Laserscanning
- Punktwolkenverarbeitung und -analyse
- 3D-Koordinatenmesstechnik in der Industrievermessung
- Web-Anwendungen und Geovisualisierung
- 3D-Modellierung
- Aus- und Weiterbildung
- Online-Lehre
Projects:
- Pro Mobile: Efficient and precise optimal positioning of mobile mapping system
- Slum mapping- the relationship between geometry and urban poverty in Ghana - a remote sensing and geographical information systems approach
- Virtuelle 3D-Rekonstruktion von zerstörten russisch-orthodoxen Kirchen aus unvollständigen Punktwolken
- Änderungsdetektion durch Analyse von Bildsequenzen und BIM-konformen Innenraummodellen
Detektion sicherheitskritischer Ereignisse in Unternehmensnetzwerken mittels Data Mining
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
to
Hochschule für angewandte Wissenschaften Coburg
Prof. Dr. Dieter Landes
LEHR- UND FORSCHUNGSGEBIETE
- Informatik
- daten- und wissensgetriebene Künstliche Intelligenz
- Software Engineering
LEHRVERANSTALTUNGEN
- Data Mining
- Advanced Data Mining
- Software Engineering
- Software-Anforderungen und -Modellierung
FUNKTIONEN
In der Hochschule
- Prüfungsausschuss
- stv. Senatsvorsitzender
Projects:
Julius-Maximilians-Universität Würzburg
Prof. Dr. Andreas Hotho
Research Focus:
- Data Science
- Text Mining
- Semantic Web
Projects:
Sensor Fusion for Precise Mapping of Transparent and Specular Reflective Objects
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
to
Julius-Maximilians-Universität Würzburg
Prof. Dr. Andreas Nüchter
- 3D Robot Vision
- Robotics and Automation
- Telematics & Geomatics
- Sensing and Perception
- Semantics
- Machine Vision
- Cognition
- Artificial Intelligence
Projects:
- Development of Sensor- and Data Fusion Concepts and Algorithms for Safe Autonomous Robot Navigation and Manipulation in Clinical Environments
- Infradar-SLAM: Light-Weight Indoor 3D SLAM Based on Infrared- and Radar-Fusion
- Synergetic use of Sentinel-1 and Sentinel-2 data for large-scale Land cover/Land use mapping
- Sensor Fusion for Precise Mapping of Transparent and Specular Reflective Objects
- Visual Human Body Weight Estimation with Focus on Clinical Applications
- Befahrbarkeitsanalyse in unwegsamem Gelände unter Berücksichtigung der kinematischen Konzepte mobiler Roboter
- Development, Simulation and Evaluation of Mobile Wireless Networks in Industrial Applications
Technische Hochschule Nürnberg
Prof. Dr. Stefan May
Forschungsschwerpunkte:
Mobile Robotik,
* Berührungslose Lokalisation
* 2D/3D-Kartographie
* Autonome Navigation
Projects:
- Development of Sensor- and Data Fusion Concepts and Algorithms for Safe Autonomous Robot Navigation and Manipulation in Clinical Environments
- Infradar-SLAM: Light-Weight Indoor 3D SLAM Based on Infrared- and Radar-Fusion
- Visual Human Body Weight Estimation with Focus on Clinical Applications
- Befahrbarkeitsanalyse in unwegsamem Gelände unter Berücksichtigung der kinematischen Konzepte mobiler Roboter
- Sensor Fusion for Precise Mapping of Transparent and Specular Reflective Objects
Visual Human Body Weight Estimation with Focus on Clinical Applications
MEMBER IN THE JOINT ACADEMIC PARTNERSHIP
to
Julius-Maximilians-Universität Würzburg
Prof. Dr. Andreas Nüchter
- 3D Robot Vision
- Robotics and Automation
- Telematics & Geomatics
- Sensing and Perception
- Semantics
- Machine Vision
- Cognition
- Artificial Intelligence
Projects:
- Development of Sensor- and Data Fusion Concepts and Algorithms for Safe Autonomous Robot Navigation and Manipulation in Clinical Environments
- Infradar-SLAM: Light-Weight Indoor 3D SLAM Based on Infrared- and Radar-Fusion
- Synergetic use of Sentinel-1 and Sentinel-2 data for large-scale Land cover/Land use mapping
- Sensor Fusion for Precise Mapping of Transparent and Specular Reflective Objects
- Visual Human Body Weight Estimation with Focus on Clinical Applications
- Befahrbarkeitsanalyse in unwegsamem Gelände unter Berücksichtigung der kinematischen Konzepte mobiler Roboter
- Development, Simulation and Evaluation of Mobile Wireless Networks in Industrial Applications
Technische Hochschule Nürnberg
Prof. Dr. Stefan May
Forschungsschwerpunkte:
Mobile Robotik,
* Berührungslose Lokalisation
* 2D/3D-Kartographie
* Autonome Navigation
Projects:
- Development of Sensor- and Data Fusion Concepts and Algorithms for Safe Autonomous Robot Navigation and Manipulation in Clinical Environments
- Infradar-SLAM: Light-Weight Indoor 3D SLAM Based on Infrared- and Radar-Fusion
- Visual Human Body Weight Estimation with Focus on Clinical Applications
- Befahrbarkeitsanalyse in unwegsamem Gelände unter Berücksichtigung der kinematischen Konzepte mobiler Roboter
- Sensor Fusion for Precise Mapping of Transparent and Specular Reflective Objects
2023
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1.Meyer, T., Brunn, A., Stilla, U.: Geometric BIM verification of indoor construction sites by photogrammetric point clouds and evidence theory. ISPRS Journal of Photogrammetry and Remote Sensing. 195, 432–445 (2023).
2022
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1.Sauer, C., Lyczkowski, E., Schmidt, M., Nüchter, A., Hoßfeld, T.: Testing AGV mobility control method for MANET coverage optimization using procedural simulation. Computer Communications. 194, 189–201 (2022).[ Abstract ]
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2.Seibt, S., Von Rymon Lipinski, B., Latoschik, M.E.: Dense Feature Matching Based on Homographic Decomposition. IEEE Access. 10, 21236–21249 (2022).[ Abstract ]
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3.Reiche, F., Schmidtner, M., Emanuel, M., Matzner, M., Timinger, H.: Project Management as a B2B Service in the automotive development process. 17th International Conference on Wirtschaftsinformatik, AIS Electronic Library (AISeL) (2022).[ Abstract ]
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4.Meyer, T., Brunn, A., Stilla, U.: Change detection for indoor construction progress monitoring based on BIM, point clouds and uncertainties. Automation in Construction. 141, 104442 (2022).[ Abstract ]
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5.Fritsche, M., Epple, P., Delgado, A.: Numerical and Theoretical Investigation of the Gap Flow in Centrifugal Fans for Design and Off-Design Conditions. Journal of Fluids Engineering. 145, (2022).[ Abstract ]
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6.Fritsche, M., Epple, P., Delgado, A.: Simulation-Driven Blade Work Distribution Based Design Strategy and Optimization of a Low-Pressure Axial Fan. Volume 1: Fluid Applications and Systems (FASTC)\($\mathsemicolon$\) Fluid Measurement and Instrumentation (FMITC)\($\mathsemicolon$\) Fluid Mechanics (FMTC). American Society of Mechanical Engineers (2022).
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7.Fritsche, M., Epple, P., Delgado, A.: The Impact of Scaling on the Gap Flow Rate of Radial Fans. Volume 1: Fluid Applications and Systems (FASTC)\($\mathsemicolon$\) Fluid Measurement and Instrumentation (FMITC)\($\mathsemicolon$\) Fluid Mechanics (FMTC). American Society of Mechanical Engineers (2022).[ Abstract ]
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8.Cherif, E., Hell, M., Brandmeier, M.: DeepForest: Novel Deep Learning Models for Land Use and Land Cover Classification Using Multi-Temporal and -Modal Sentinel Data of the Amazon Basin. Remote Sensing. 14, 5000 (2022).
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9.Karthan, M., Kreuder, A., Frick, U., Pryss, R., Schobel, J.: PeterPandemic: A Serious Game for Pandemic Management. Studies in Health Technology and Informatics. IOS Press (2022).[ Abstract ]
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10.Karthan, M., Martin, R., Holl, F., Swoboda, W., Kestler, H.A., Pryss, R., Schobel, J.: Enhancing mHealth data collection applications with sensing capabilities. Frontiers in Public Health. 10, (2022).[ Abstract ]
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11.Pozzobon, E., Renner, S., Mottok, J., Matoušek, V.: An optimized Bitsliced Masked Adder for ARM Thumb-2 Controllers. 2022 International Conference on Applied Electronics (AE). bll. 1–4 (2022).[ Abstract ]
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12.Karthan, M., Romahn, P., Pryss, R., Kestler, H., Schobel, J.: Collecting Data from Senior Citizens Using Serious Games. Studies in Health Technology and Informatics. IOS Press (2022).[ Abstract ]
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13.Reiche, F., Doering, C.: Study on Massive Open Online Courses in Universities. 2022 IEEE Global Engineering Education Conference (EDUCON). bll. 379–385 (2022).[ Abstract ]
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14.Doering, C., Reiche, F., Timinger, H.: What Do We Need to Collaborate? Transfer in Universities for Cross-organizational Collaboration. Proceedings of the 19th International Conference on Smart Business Technologies. SCITEPRESS - Science and Technology Publications (2022).[ Abstract ]
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15.Miller, M., Ronczka, S., Nischwitz, A., Westermann, R.: Light Direction Reconstruction Analysis and Improvement using XAI and CG. CSRN. Západovceská univerzita (2022).[ Abstract ]
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16.Moser, E., Pangerl, J., Jobst, S., Weigl, S., Bierl, R.: Modeling the Photoacoustic Spectrum of a Quantum Cascade Laser for Human Breath. Optical Sensors and Sensing Congress 2022 (AIS, LACSEA, Sensors, ES). Optica Publishing Group (2022).[ Abstract ]
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17.Moser, E., Jobst, S., Bierl, R., Jenko, F.: A deep learning system to transform cross-section spectra to varying environmental conditions. Vibrational Spectroscopy. 122, 103410 (2022).[ Abstract ]
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18.Moser, E., Meyer, S., Schmidhuber, M., Ketterer, D., Eberhardt, M.: Argo: Towards Small Vessel Detection for Humanitarian Purposes. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. International Joint Conferences on Artificial Intelligence Organization (2022).[ Abstract ]
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19.Meier, P., Schwär, S., Rosenzweig, S., Müller, M.: Real-Time MIR Algorithms for Music-Reactive Game World Generation. (2022).[ Abstract ]
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20.Timinger, H., Schmidtner, M., Reiche, F.: A Framework for the Construction and Tailoring of Engineering Development Process Models. IEEE Transactions on Engineering Management. 1–22 (2022).[ Abstract ]
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21.Fuchs, D., Waibel, A.-K., Karthan, M., Seifert, N., Örtl, M., Bethge, S., Fischer, G., Waschbüsch, L., Netzband, S., Kramer, F., Mahler, A., Teynor, A., Merli, D., Mess, E.V., Öttinger, J., Schmid, S., Scheu, A., Swoboda, W., Friedrich, P.: CARE REGIO textendash Digital Transformation and Technology in Nursing Care. Studies in Health Technology and Informatics. IOS Press (2022).
2021
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1.Bergler, M., Tolvanen, J., Zoppelt, M., Tavakoli Kolagari, R.: Social Engineering Exploits in Automotive Software Security: Modeling Human-targeted Attacks with SAM. In: Castanier, B., Cepin, M., Bigaud, D., en Berenguer, C. (reds.) The 31st European Safety and Reliability Conference, Angers, France (2021).[ Abstract ]
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2.Koerber, N., Siebert, A., Hauke, S., Muelle-Gritschneder: Tiny Generative Image Compression for Bandwidth-Constrained Sensor Applications. IEEE International Conference on Machine Learning and Applications. (2021).
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3.Sauer, C., Lyczkowski, E., Schmidt, M., Nüchter, A., Hoßfeld, T.: Testing AGV Mobility Control Method for MANET Coverage Optimization using Procedural Generation. Proceedings of the ACM Conference MSWiM: Modeling, Analysis and Simulation of Wireless and Mobile Systems. , Alicante, Spain (2021).[ Abstract ]
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4.Kerscher, S., Müller, N., Ludwig, B.: Assessing the lack of context knowledge for a pedestrian predicting neural network. International Journal of Intelligent Robotics and Applications. (2021).[ Abstract ]
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5.Meier, P., Krump, G., Müller, M.: A Real-Time Beat Tracking System Based on Predominant Local Pulse Information. Demos and Late Breaking News of the InternationalSociety for Music Information Retrieval Conference (ISMIR) (2021).[ Abstract ]
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6.Timinger, H., Schmidtner, M., Reiche, F.: Comparison of different Standards and Norms in Project Management. Research Notes on Data and Process Science. 7 (2021).[ Abstract ]
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7.Körber, N., Siebert, A., Hauke, S., Mueller-Gritschneder, D.: Tiny Generative Image Compression for Bandwidth-Constrained Sensor Applications. 2021 20th IEEE International Conference on Machine Learning and Applications (ICMLA). bll. 564–569 (2021).[ Abstract ]
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8.Kerscher, S., Müller, N., Ludwig, B.: Assessing the lack of context knowledge for a pedestrian predicting neural network. International Journal of Intelligent Robotics and Applications. 6, 467–482 (2021).[ Abstract ]
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9.Meyer, T., Brunn, A., Stilla, U.: ACCURACY INVESTIGATION ON IMAGE-BASED CHANGE DETECTION FOR BIM COMPLIANT INDOOR MODELS. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences. V-4-2021, 105–112 (2021).[ Abstract ]
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10.Ulsamer, P., Schütz, A., Fertig, T., Keller, L.: Immersive Storytelling for Information Security Awareness Training in Virtual Reality. Proceedings of the 54th Hawaii International Conference on System Sciences. Hawaii International Conference on System Sciences (2021).[ Abstract ]
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11.Schmidtner, M., Timinger, H.: HyValue – Ein adaptives Referenzmodell für den hybriden Produktentstehungsprozess in der Automobilindustrie. In: Lehmann L., E.D. (red.) Kompetenzen für die digitale Transformation 2020 Digitalisierung der Arbeit - Kompetenzen - Nachhaltigkeit 1. Digitalkompetenz-Tagung. bll. 37–48. Springer Vieweg, Berlin, Heidelberg (2021).[ Abstract ]
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12.Zimmermann, S., Hein, A., Schulz, T., Gewald, H., Krcmar, H.: Digital Nudging Toward Pro-Environmental Behavior: A Literature Review. Proceedings of the 25th Pacific Asia Conference on Information Systems (PACIS) (2021).[ Abstract ]
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13.Weigl, S., Wittmann, E., Rück, T., Bierl, R., Matysik, F.-M.: Effects of ambient parameters and cross-sensitivities from O2, CO2 and H2O on the photoacoustic detection of acetone in the UV region. Sensors and Actuators B: Chemical. 328, (2021).[ Abstract ]
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14.Schmidtner, M., Doering, C., Hilpoltsteiner, D., Martens, M., Timinger, H.: A fractional 0–1 decision making approach for process variant management. 2021 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC). bll. 1–8 (2021).[ Abstract ]
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15.Doering, C., Schmidtner, M., Timinger, H.: Collaboration for Innovation Between Universities and Smart Cities. 2021 IEEE European Technology and Engineering Management Summit (E-TEMS). bll. 82–86 (2021).[ Abstract ]
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16.Herl, G., Hiller, J., Thies, M., Zaech, J., Unberath, M., Maier, A.: Task-Specific Trajectory Optimisation for Twin-Robotic X-Ray Tomography. IEEE Transactions on Computational Imaging. 7, 894–907 (2021).[ Abstract ]
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17.Schulz, T., Zimmermann, S., Böhm, M., Gewald, H., Krcmar, H.: Value co-creation and co-destruction in service ecosystems: The case of the Reach Now app. Technological Forecasting and Social Change. 170, issue C, (2021).[ Abstract ]
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18.Zimmermann, S., Wagner, H.-T., Rössler, P., Gewald, H., Krcmar, H.: The Role of Utilitarian vs. Hedonic Factors for the Adoption of AI-based Smart Speakers. (Proceedings of the) 27th Americas Conference on Information Systems (AMCIS) "Digital Innovation and Entrepreneurship" (2021).[ Abstract ]
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19.Meyer, T., Brunn, A., Stilla, U.: Accuracy investigation on image-based change detection for BIM compliant indoor models. International Society for Photogrammetry and Remote Sensing. V-4-2021, 105–112 (2021).[ Abstract ]
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20.Schmidtner, M., Doering, C., Timinger, H.: Agile Working During COVID-19 Pandemic. IEEE Engineering Management Review. 49, 18–32 (2021).[ Abstract ]
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21.Miller, M., Nischwitz, A., Westermann, R.: Deep Light Direction Reconstruction from single RGB images. WSCG 2021: full papers proceedings: 29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 31-40. (2021).[ Abstract ]
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22.Weiss, N., Renner, S., Mottok, J., Vaclav, M.: Automated Threat Evaluation of Automotive Diagnostic Protocols. 8th Embedded Security in Cars Conference (ESCAR USA) (2021).[ Abstract ]
2020
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1.Böhm, S.-A.: AI Approaches to Optimize Human-Machine Collaboration in Manufacturing Facilities with IoT-Ready Machinery. In: Davidsson, P., Langheinrich, M., Linde, P., Mayer, S., Casado-Mansilla, D., Spikol, D., Kraemer, F.A., en Russo, N.L. (reds.) IOT Companion. bll. 23:1–23:5. ACM (2020).[ Abstract ]
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2.Doering, C., Schmidtner, M., Maerz, J., Mueller, V., Timinger, H.: Agile working during COVID-19 pandemic. Research Notes on Data and Process Science. issue 1, (2020).[ Abstract ]
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3.Schmidtner, M., Timinger, H.: HyValue – a Hybrid Reference Model for the Automotive Product Development Process. IEEE TEMS Technology & Engineering Management Society (2020).[ Abstract ]
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4.Kriegl, B., Woratschek, H., Raab, A.: Physicians and Institutional Work: Unpacking the Black Box of Institutionalization at the Front Lines of Healthcare. Proceedings of the European Markting Academy (2020).[ Abstract ]
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5.Auernhammer, K., Freiling, F., Tavakoli Kolagari, R.: Efficient Black-Box Search for Adversarial Examples using Relevance Masks. In DYnamic and Novel Advances in Machine Learning and Intelligent Cyber Security (DYNAMICS) Workshop (2020).
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6.Schulz, T., Böhm, M., Gewald, H., Krcmar, H.: Smart mobility – an analysis of potential customers’ preference structures Electronic Markets. Electronic Markets. Springer (2020).[ Abstract ]
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7.Schulz, T., Böhm, M., Gewald, H.: Information Technology Choice in Mobility Service Ecosystems: A Qualitative Comparative Analysis. International Conference on Information Systems, ICIS 2020 Proceedings (2020).[ Abstract ]
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8.Fritsche, M., Epple, P., Delgado, A.: Analytical and Numerical Investigation of the Fluid Structure Interaction of an Elastic Beam in a Water Channel. Volume 10: Fluids Engineering. American Society of Mechanical Engineers (2020).[ Abstract ]
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9.Fertig, T., Schütz, A.E., Weber, K., Müller, N.H.: Towards an Information Security Awareness Maturity Model. In: Zaphiris, P. en Ioannou, A. (reds.) HCI (26). bll. 587–599. Springer (2020).
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10.Ulsamer, P., Fertig, T., Pfeffel, K., Müller, N.H.: Motor Imagery to Control Mobile Applications - An fNIRS Study. In: Vogel, D., Shen, K.N., Ling, P.S., Hsu, C., Thong, J.Y.L., Marco, M.D., Limayem, M., en Xu, S.X. (reds.) PACIS. bl. 56 (2020).
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11.Müller-Wuttke, M., Schütz, A.E., Franz, F., Müller, N.H.: Proactive Smart City Interactions. In: Zaphiris, P. en Ioannou, A. (reds.) HCI (26). bll. 615–624. Springer (2020).
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12.Schlör, D., Ring, M., Krause, A., Hotho, A.: Financial Fraud Detection with Improved Neural Arithmetic Logic Units. Springer (2020).[ Abstract ]
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13.Schmidtner, M., Timinger, H., Blust, M., Döring, C., Hilpoltsteiner, D.: Towards an adaptive reference model for agile and hybrid frameworks in automotive development. ICE/ITMC. bll. 1–10. IEEE (2020).
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14.Stock, A., Herl, G., Sauer, T., Hiller, J.: Edge-preserving compression of CT scans using wavelets. Insight- Non-Destructive Testing and Condition Monitoring. 62, 345–351 (7) (2020).[ Abstract ]
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15.Fertig, T., Schütz, A.E., Weber, K.: Current Issues Of Metrics For Information Security Awareness. In: Rowe, F., Amrani, R.E., Limayem, M., Newell, S., Pouloudi, N., van Heck, E., en Quammah, A.E. (reds.) ECIS (2020).
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16.Weiss, N., Renner, S., Mottok, J., Matousek, V.: Transport Layer Scanning for Attack Surface Detection in Vehicular Networks. Transport Layer Scanning for Attack Surface Detection in Vehicular Networks. bll. 1–8. ACM Computer Science in Cars Symposium (2020).[ Abstract ]
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17.Herl, G., Hiller, J., Maier, A.: Scanning trajectory optimisation using a quantitative Tuybased local quality estimation for robot-based X-ray computed tomography. Nondestructive Testing and Evaluation. 35, 287–303 (2020).[ Abstract ]
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18.Ciba, M., Bestel, R., Nick, C., de Arruda, G.F., Peron, T.K.D.M., Comin, C.H., da Fontoura Costa, L., Rodrigues, F.A., Thielemann, C.: Comparison of Different Spike Train Synchrony Measures Regarding Their Robustness to Erroneous Data From Bicuculline-Induced Epileptiform Activity. Neural Comput. 32, 887–911 (2020).[ Abstract ]
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19.Fertig, T., Schütz, A.: About the Measuring of Information Security Awareness: A Systematic Literature Review. 53rd Hawaii International Conference on System Sciences (2020).[ Abstract ]
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20.Schütz, A., Fertig, T., Weber, K.: Analyze Before You Sensitize: Preparation of a Targeted ISA Training. 53rd Hawaii International Conference on System Sciences (2020).[ Abstract ]
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21.Fischer, F., Niedermaier, M., Hanka, T., Knauer, P., Merli, D.: Analysis of Industrial Device Architectures for Real-Time Operations under Denial of Service Attacks. CoRR. abs/2007.08885, (2020).
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22.Brost, J., Egger, C., Lai, R.W.F., Schmid, F., Schröder, D., Zoppelt, M.: Threshold Password-Hardened Encryption Services. In: Ligatti, J., Ou, X., Katz, J., en Vigna, G. (reds.) ACM Conference on Computer and Communications Security. bll. 409–424. ACM (2020).[ Abstract ]
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23.Schlör, D., Ring, M., Hotho, A.: iNALU: Improved Neural Arithmetic Logic Unit. Frontiers in Artificial Intelligence. 3, 71 (2020).[ Abstract ]
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24.Tritscher, J., Ring, M., Schlör, D., Hettinger, L., Hotho, A.: Evaluation of Post-hoc XAI Approaches Through Synthetic Tabular Data. In: Helic, D., Leitner, G., Stettinger, M., Felfernig, A., en Ras, Z.W. (reds.) ISMIS. bll. 422–430. Springer (2020).
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25.Schlör, D., Ring, M., Krause, A., Hotho, A.: Financial Fraud Detection with Improved Neural Arithmetic Logic Units. Presented at the (2020).
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26.Schulz, T., Gewald, H., Böhm, M., Krcmar, H.: Smart Mobility: Contradictions in Value Co-Creation. Information Systems Frontiers. 22, (2020).[ Abstract ]
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27.Wolf, M., Ring, M., Landes, D.: Impact of Generative Adversarial Networks on NetFlow-Based Traffic Classification. In: Herrero, Álvaro, Cambra, C., Urda, D., Sedano, J., Quintián, H., en Corchado, E. (reds.) CISIS. bll. 393–404. Springer (2020).
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28.Wunderlich, S., Ring, M., Landes, D., Hotho, A.: Comparison of System Call Representations for Intrusion Detection. Logic Journal of the IGPL. jzaa058, (2020).[ Abstract ]
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29.Renner, S., Pozzobon, E., Mottok, J.: A Hardware in the Loop Benchmark Suite to Evaluate NIST LWC Ciphers on Microcontrollers. ICICS. bll. 495–509. Springer (2020).[ Abstract ]
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30.Liang, H., Sauer, T., Faber, C.: Using wavelet transform to evaluate single-shot phase measuring deflectometry data. SPIE Proceedings. SPIE The international society for optics and photonics (2020).[ Abstract ]
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31.Hilpoltsteiner, D., Schmidtner, M.: ADAMO - Echtzeit Kollaboration mit adaptiven Prozessmodellen (ADAMO - Real-Time Collaboration with Adaptive Process Models). In: Michael, J., Bork, D., Fill, H.-G., Fettke, P., Karagiannis, D., Köpke, J., Koschmider, A., Mayr, H.C., Rehse, J.-R., Reimer, U., Striewe, M., Tropmann-Frick, M., en Ullrich, M. (reds.) Modellierung (Companion). bll. 193–197. CEUR-WS.org (2020).
2019
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1.Liang, H., Zimmermann, A., Kickingereder, R., Faber, C.: Eine neue Methode zur Lösung des Höhenproblems in der Deflektometrie. Deutsche Gesellschaft für angewandte Optik e.V (2019).[ Abstract ]
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2.Niedermaier, M., Hanka, T., Plaga, S., von Bodisco, A., Merli, D.: Efficient Passive ICS Device Discovery and Identification by MAC Address Correlation. Computing Research Repository CoRR. abs/1904.04271, (2019).[ Abstract ]
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3.Schütz, A., Tobias, F., Kristin, W., Nicholas, M.: How E-Learning can Faciliate Information Security Awareness. Learning and Collaboration Technologies. (2019).[ Abstract ]
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4.Koch, P., May, S., Engelhardt, H., Ziegler, J., Nüchter, A.: Signed Distance Based Reconstruction for Exploration and Change Detection in Underground Mining Disaster Prevention. SSRR. bll. 1–2. IEEE (2019).
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5.Kerscher, S., Ludwig, B., Müller, N.: Investigating the Added Value of Combining Regression Results from Different Window Lengths. AIKE. bll. 128–135. IEEE (2019).[ Abstract ]
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6.Franz, F., Fertig, T., Schütz, A.E., Vu, H.: Towards Human-readable Smart Contracts. IEEE ICBC. bll. 38–42. IEEE (2019).[ Abstract ]
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7.Weber, K., Saueressig, G., Schütz, A.: Informationssicherheit und Datenschutz an Hochschulen organisieren. Angewandte Forschung in der Wirtschaftsinformatik. (2019).[ Abstract ]
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8.Fertig, T., Schütz, A.E., Weber, K., Müller, N.H.: Measuring the Impact of E-Learning Platforms on Information Security Awareness. In: Zaphiris, P. en Ioannou, A. (reds.) HCI (25). bll. 26–37. Springer (2019).[ Abstract ]
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9.von Rymon Lipinski, B., Seibt, S., Roth, J., Abé, D.: Level Graph - Incremental Procedural Generation of Indoor Levels using Minimum Spanning Trees. CoG. bll. 1–7. IEEE (2019).[ Abstract ]
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10.Ring, M., Wunderlich, S., Scheuring, D., Landes, D., Hotho, A.: A survey of network-based intrusion detection data sets. In Computers and Security 86, 2019, 147-167, DOI:. Computers and Security. bll. 147–167 (2019).[ Abstract ]
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11.Zoppelt, M., Kolagari, R.T.: What Today’s Serious Cyber Attacks on Cars Tell Us: Consequences for Automotive Security and Dependability. In: Papadopoulos, Y., Aslansefat, K., Katsaros, P., en Bozzano, M. (reds.) IMBSA. bll. 270–285. Springer (2019).[ Abstract ]
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12.Zoppelt, M., Tavakoli Kolagari, R.: UnCle SAM : Modeling Cloud Attacks with the Automotive Security Abstraction Model. In CLOUD COMPUTING 2019. CLOUD COMPUTING 2019, The Tenth International Conference on Cloud Computing, GRIDs, and Virtualization, At Venice, Italy (2019).[ Abstract ]
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13.Sauer, F., Niedermaier, M., Kießling, S., Merli, D.: LICSTER - A Low-cost ICS Security Testbed for Education and Research. Computing Research Repository CoRR. abs/1910.00303, (2019).[ Abstract ]
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14.Niedermaier, M., Fischer, F., Merli, D., Sigl, G.: Network Scanning and Mapping for IIoT Edge Node Device Security. Computing Research Repository CoRR. abs/1910.07622, (2019).
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15.Koch, P., May, S., Engelhardt, H., Ziegler, J., Nüchter, A.: Signed Distance Based Reconstruction for Exploration and Change Detection in Underground Mining Disaster Prevention. IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR ’19). bl. 1–2 (2019).[ Abstract ]
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16.Reinker, F., Wagner, R., Hasselmann, K., aus der Wiesche, S., Fritsche, M., Epple, P., Rußwurm, H.J.: Testing, modeling and simulation of fans working with organic vapors. Proceedings of 13th European Conference on Turbomachinery Fluid dynamics & Thermodynamics (2019).[ Abstract ]
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17.aus der Wiesche, S., Reinker, F., Wagner, R., Epple, P., Fritsche, M., Russwurm, H.J.: An Accurate Thermal Measurement Approach for Determining Fan Efficiencies Based on System Identification. ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference (2019).[ Abstract ]
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18.Fritsche, M., Epple, P., Hasselmann, K., Reinker, F., Wagner, R., aus der Wiesche, S., Russwurm, H.: CFD-Simulation of Centrifugal Fan Performance Characteristics Using Ideal and Real Gas Models for Air and Organic Fluids. ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference (2019).[ Abstract ]
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19.Niedermaier, M., Striegel, M., Sauer, F., Merli, D., Sigl, G.: Efficient Intrusion Detection on Low-Performance Industrial IoT Edge Node Devices. Computing Research Repository CoRR. abs/1908.03964, (2019).
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20.Herl, G., Hiller, J., Kasperl, S., Maier, A.: Reduktion von Metallartefakten durch multipositionale Datenfusion in der industriellen Röntgen-Computertomographie. de Gruyter, tm-Technisches Messen. (2019).[ Abstract ]
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21.Epple, P., Steppert, M., Malcherek, A., Fritsche, M.: Theoretical and Numerical Analysis of the Pressure Distribution and Discharge Velocity in Flows Under Inclined Sluice Gates. ASME-JSME_KSME 2019 8th Joint Fluids Engineering Conference. (2019).[ Abstract ]
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22.Liang, H., Zimmermann, A., Reiner, K., Christian, F.: A new method for solving the height problem in deflectometry. Proceedings Applied Optical Metrology III (2019).[ Abstract ]
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23.Niedermaier, M., Merli, D., Georg, S.: A Secure Dual-MCU Architecture for Robust Communication of IIoT Devices. Mediterranean Conference on Embedded Computing (MECO); IEEE. (2019).[ Abstract ]
2018
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1.Niedermaier, M., Malchow, J.-O., Fischer, F., Marzin, D., Merli, D., Roth, V., von Bodisco, A.: You Snooze, You Lose: Measuring PLC Cycle Times under Attacks. In: Rossow, C. en Younan, Y. (reds.) WOOT @ USENIX Security Symposium. USENIX Association (2018).[ Abstract ]
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2.Schütz, A.E., Fertig, T., Weber, K., Vu, H., Hirth, M., Tran-Gia, T.: Vertrauen ist gut, Blockchain ist besser - Einsatzmöglichkeiten von Blockchain für Vertrauensprobleme im Crowdsourcing. HMD Prax. der Wirtschaftsinformatik. 55, 1155–1166 (2018).
2019
Auernhammer K, Kolagari RT, Zoppelt M
. Attacks on Machine Learning: Lurking Danger for Accountability. In: Espinoza H, hÉigeartaigh SÓ, Huang X, Hernández-Orallo J, Castillo-Effen M, editors. Proceedings of the Association for the Advancement of Artificial Intelligence AAAI Workshop on Artificial Intelligence Safety [online]. CEUR-WS.org; 2019. Accessed at: ceur-ws.org/Vol-2301/paper_2.pdf.
aus der Wiesche S, Reinker F, Wagner R, Epple P, Fritsche M, Russwurm HJ. An Accurate Thermal Measurement Approach for Determining Fan Efficiencies Based on System Identification. ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference [online]. 2019.
Dietrich MP, Winterfeldt G, von Mammen S. Towards EEG-Based Eye-Tracking for Interaction Design in Head-Mounted Devices. Proceedings of the 7th International Conference on Consumer Electronics Berlin (ICCE-Berlin), 2017 IEEE. 2017.
Epple P, Steppert M, Malcherek A, Fritsche M. Theoretical and Numerical Analysis of the Pressure Distribution and Discharge Velocity in Flows Under Inclined Sluice Gates. ASME-JSME_KSME 2019 8th Joint Fluids Engineering Conference [online serial]. Epub 2019.
Fertig T, Schütz A. About the Measuring of Information Security Awareness: A Systematic Literature Review. 53rd Hawaii International Conference on System Sciences [online]. 2020.
Fertig T, Schütz AE, Weber K, Müller NH. Measuring the Impact of E-Learning Platforms on Information Security Awareness. In: Zaphiris P, Ioannou A, editors. HCI (25) [online]. Springer; 2019. p. 26–37.
Franz F, Fertig T, Schütz AE, Vu H. Towards Human-readable Smart Contracts. IEEE ICBC [online]. IEEE; 2019. p. 38–42.
Weber K, Saueressig G, Schütz A. Informationssicherheit und Datenschutz an Hochschulen organisieren. Angewandte Forschung in der Wirtschaftsinformatik [online serial]. Epub 2019.
Fritsche M, Epple P, Hasselmann K, et al. CFD-Simulation of Centrifugal Fan Performance Characteristics Using Ideal and Real Gas Models for Air and Organic Fluids. ASME-JSME-KSME 2019 8th Joint Fluids Engineering Conference [online]. 2019.
Herl G, Hiller J, Kasperl S, Maier A. Reduktion von Metallartefakten durch multipositionale Datenfusion in der industriellen Röntgen-Computertomographie. de Gruyter, tm-Technisches Messen [online serial]. Epub 2019.
Herl G, Hiller J, Sauer T. Artifact reduction in X-ray computed tomography by multipositional data fusion using local image quality measures. Proceedings of the 9th Conference on Industrial Computed Tomography, Padova, Italy (iCT 2019). 2019.
Herl G, Rettenberger S, Hiller J, Sauer T. Metal artifact reduction by fusion of CT scans from different positions using the unfiltered backprojection. Proceedings of the 8th Conference on Industrial Computed Tomography, Wels, Austria (iCT 2018). 2018.
Kasperl S, Hanke R, Oeckl S, Schmitt P, Uhlmann N, Heinz D, Herl G, et al. Digitalisierung, Verarbeitung und Analyse kultureller und industrieller Objekte: Wertschöpfung aus großen Datenmengen. Jahrestagung für zerstörungsfreie Prüfung (2018), Deutsche Gesellschaft DGZfP. 2018.
Kasperl S, Hanke R, Oeckl S, Schmitt P, Uhlmann N, Heinz D, Herl G, et al. Digitization, Data Processing and Analysis of Industrial and Cultural Objects: Creating Additional Value from Big Data. Proceedings of the 12th, European Conference on Non-Destructive Testing (ECNDT) 2018, Gothenburg-Sweden. 2018.
Kerscher S, Ludwig B, Müller N. Investigating the Added Value of Combining Regression Results from Different Window Lengths. AIKE [online]. IEEE; 2019. p. 128–135.
Koch P, May S, Engelhardt H, Ziegler J, Nüchter A. Signed Distance Based Reconstruction for Exploration and Change Detection in Underground Mining Disaster Prevention. IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR ’19) [online]. 2019. p. 1-2.
Koch R, Böttcher L, Jahrsdörfer M, et al. Out of lab calibration of a rotating 2D scanner for 3D mapping. Proceedings of the International Society for Optics and Photonics SPIE optical metrology, Videometrics, Range Imaging, and Applications [online]. Munich, Germany; 2017. p. 10332-10332–10338.
Koch R, May S, Nüchter A. Detection and Purging of Specular Reflective and Transparent Object Influences in 3D Range Measurements. Proceedings of the 7th International Society for Photogrammetry and Remote Sensing, ISPRS International Workshop 3D-ARCH 2017: “3D Virtual Reconstruction and Visualization of Complex Architectures” [online]. Nafplio, Greece; 2017. p. 377--384.
Koch R, May S, Nüchter A. Effective Distinction Of Transparent And Specular Reflective Objects In Point Clouds Of A Multi-Echo Laser Scanner. Proceedings of the 18th IEEE International Conference on Advanced Robotics (ICAR ’17) [online]. Hong Kong, China; 2017. p. 566--571.
Liang H, Zimmermann A, Kickingereder R, Faber C. Eine neue Methode zur Lösung des Höhenproblems in der Deflektometrie. Deutsche Gesellschaft für angewandte Optik eV [online]. 2019.
Liang H, Zimmermann A, Reiner K, Christian F. A new method for solving the height problem in deflectometry. Proceedings Applied Optical Metrology III [online]. 2019.
Niedermaier M, Fischer F, Merli D, Sigl G. Network Scanning and Mapping for IIoT Edge Node Device Security. Computing Research Repository CoRR [online serial]. 2019;abs/1910.07622.
Niedermaier M, Hanka T, Plaga S, von Bodisco A, Merli D. Efficient Passive ICS Device Discovery and Identification by MAC Address Correlation. Computing Research Repository CoRR [online serial]. 2019;abs/1904.04271.
Niedermaier M
, Malchow J-O, Fischer F, et al. You Snooze, You Lose: Measuring PLC Cycle Times under Attacks. In: Rossow C, Younan Y, editors. WOOT @ USENIX Security Symposium [online]. USENIX Association; 2018. Accessed at: www.usenix.org/conference/woot18/presentation/niedermaier.
Niedermaier M, Merli D, Georg S. A Secure Dual-MCU Architecture for Robust Communication of IIoT Devices. Mediterranean Conference on Embedded Computing (MECO); IEEE. Epub 2019.
Niedermaier M, Striegel M, Sauer F, Merli D, Sigl G. Efficient Intrusion Detection on Low-Performance Industrial IoT Edge Node Devices. Computing Research Repository CoRR [online serial]. 2019;abs/1908.03964.
Pfitzner C, May S, Nüchter A. Body Weight Estimation for Dose-Finding and Health Monitoring of Lying, Standing and Walking Patients Based on RGB-D Data. Sensors [online serial]. 2018;18.
Pfitzner C, May S, Nüchter A. Evaluation of Features from RGB-D Data for Human Body Weight Estimation. International Federation of Automatic Control [online]. Toulouse, France; 2017.
Reinker F, Wagner R, Hasselmann K, aus der Wiesche S, Fritsche M, et al. Testing, modeling and simulation of fans working with organic vapors. Proceedings of 13th European Conference on Turbomachinery Fluid dynamics & Thermodynamics [online]. 2019.
Ring M, Landes D, Dallmann A, Hotho A. IP2Vec: Learning Similarities Between IP Addresses. 2017 IEEE International Conference on Data Mining Workshops (ICDMW). 2017. p. 657–666.
Ring M, Landes D, Hotho A. Detection of slow port scans in flow-based network traffic. PLOS ONE [online serial]. Public Library of Science; 2018;13:1–18.
Ring M, Schlör D, Landes D, Hotho A. Flow-based Network Traffic Generation using Generative Adversarial Networks. Computing Research Repository CoRR [online serial]. 2018;abs/1810.07795.
Ring M, Wunderlich S, Grüdl D, Landes D, Hotho A. Flow-based benchmark data sets for intrusion detection. Proceedings of the 16th European Conference on Cyber Warfare and Security (ECCWS). ACPI; 2017. p. 361--369.
Ring M, Wunderlich S, Grüdl D, Landes D, Hotho A. Creation of Flow-Based Data Sets for Intrusion Detection. Journal of Information Warfare [online serial]. 2017;16:41–54.
Ring M, Wunderlich S, Grüdl D, Landes D, Hotho A. Creation of Flow-Based Data Sets for Intrusion Detection. Journal of Information Warfare [online serial]. 2017;16:41–54.
Ring M, Wunderlich S, Grüdl D, Landes D, Hotho A. A Toolset for Intrusion and Insider Threat Detection. In: Palomares Carrascosa I, Kalutarage HK, Huang Y, editors. Data Analytics and Decision Support for Cybersecurity: Trends, Methodologies and Applications [online]. Cham: Springer International Publishing; 2017. p. 3--31.
Ring M, Wunderlich S, Scheuring D, Landes D, Hotho A. A survey of network-based intrusion detection data sets. In Computers and Security 86, 2019, 147-167, DOI: Computers and Security [online]. 2019. p. 147–167.
Sauer F, Niedermaier M, Kießling S, Merli D. LICSTER - A Low-cost ICS Security Testbed for Education and Research. Computing Research Repository CoRR [online serial]. 2019;abs/1910.00303.
Schulz T, Überle M. How Institutional Arrangements impede Realization of Smart Ecosystems: the Case of Door-to-Door Mobility integrators. In: Bednar PM, Frank U, Kautz K, editors. Proceedings of the European Conference on Information Systems (ECIS 2018), Portsmouth, UK, 2018 [online].
Schütz A, Fertig T, Weber K. Analyze Before You Sensitize: Preparation of a Targeted ISA Training. 53rd Hawaii International Conference on System Sciences [online]. 2020.
Schütz AE, Fertig T, Weber K, Müller NH. How E-Learning Can Facilitate Information Security Awareness. In: Zaphiris P, Ioannou A, editors. HCI (25) [online]. Springer; 2019. p. 390–401.
Schütz A, Fertig T, Weber K, Vu H, Hirth M, Tran-Gia T. Vertrauen ist gut, Blockchain ist besser - Einsatzmöglichkeiten von Blockchain für Vertrauensprobleme im Crowdsourcing. HMD Praxis der Wirtschaftsinformatik. Epub 2018 Oct.
Stieler M, Kriegl B. How do consumers experience the emotional rollercoaster? A smartphone app to measure emotions continously, transfer. Werbeforschung & Praxis. 2018;64:43–53.
Stock M, Herl G, Sauer T, Hiller J. Edge Preserving Compression of CT Scans using Wavelets. Proceedings of the Structural Health Monitoring, International Symposium Nondestructive Testing 4-5 October 2018, Saarbruecken, Germany. 2018.
von Rymon Lipinski B, Seibt S, Roth J, Abé D. Level Graph - Incremental Procedural Generation of Indoor Levels using Minimum Spanning Trees. CoG [online]. IEEE; 2019
Zoppelt M, Kolagari RT. What Today’s Serious Cyber Attacks on Cars Tell Us: Consequences for Automotive Security and Dependability. In: Papadopoulos Y, Aslansefat K, Katsaros P, Bozzano M, editors. IMBSA [online]. Springer; 2019. p. 270–285.
Zoppelt M, Tavakoli Kolagari R. UnCle SAM : Modeling Cloud Attacks with the Automotive Security Abstraction Model. In CLOUD COMPUTING 2019. CLOUD COMPUTING 2019, The Tenth International Conference on Cloud Computing, GRIDs, and Virtualization, At Venice, Italy. 2019.
2018
Pfitzner, C. and May, S. and Nüchter, A. Body Weight Estimation for Dose-Finding and Health Monitoring of Lying, Standing and Walking Patients Based on RGB-D Data. In Sensors, (18) 5: Year 2018.
Ring, Markus and Landes, Dieter and Hotho, Andreas. Detection of slow port scans in flow-based network traffic. In PLOS ONE, (13) 9: 1-18, Public Library of Science, Year 2018.
Ring, Markus and Schlör, Daniel and Landes, Dieter and Hotho, Andreas. Flow-based Network Traffic Generation using Generative Adversarial Networks.. In Computing Research Repository CoRR, (abs/1810.07795) Year 2018.
Ring, Markus and Wunderlich, Sarah and Grüdl, Dominik and Landes, Dieter and Hotho, Andreas. A Toolset for Intrusion and Insider Threat Detection. Data Analytics and Decision Support for Cybersecurity: Trends, Methodologies and Applications. editor(s) Palomares Carrascosa, Iván and Kalutarage, Harsha Kumara and Huang, Yan. 3--31, Springer International Publishing, Cham, Year 2017.
Ring, Markus and Wunderlich, Sarah and Grüdl, Dominik and Landes, Dieter and Hotho, Andreas. Creation of Flow-Based Data Sets for Intrusion Detection. In Journal of Information Warfare, (16) 4: 41-54, Year 2017.
Coordinator
Get in touch. We look forward to your questions and ideas for our Joint Academic Partnership Digitalisation.
Dr. Karin Streker
Koordinatorin BayWISS-Verbundkolleg Digitalisierung
Julius-Maximilians-Universität Würzburg
Graduate Schools of Science and Technology
Beatrice-Edgell-Weg 21
97074 Würzburg
Telephone: +49 931 3189695
digitalisierung.vk@baywiss.de