zur Hauptnavigation springenzum Inhaltsbereich springen

BayWISS-Kolleg Digitalisation www.baywiss.de

Research in the Joint Academic Partnership Digitalisation How Do We Shape the Digital World?

© Science in HD / unsplash

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
Christian Sauer
Christian Sauer
Hochschule für angewandte Wissenschaften Würzburg-Schweinfurt

Development, Simulation and Evaluation of Mobile Wireless Networks in Industrial Applications

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

since


SUPERVISORS

Julius-Maximilians-Universität Würzburg

Hochschule für angewandte Wissenschaften Würzburg-Schweinfurt

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:


Tobias Höfer
Tobias Höfer
Hochschule für angewandte Wissenschaften München

Vergleich unterschiedlicher Deep Learning Ansätze im Hinblick auf Genauigkeit, Stabilität, Effizienz und Interpretierbarkeit

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

since


Finn Reiche
Finn Reiche
Hochschule für angewandte Wissenschaften Landshut

Entwicklung eines Referenzmodells zur Plattformökonomie von Hochschulen

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

since


SUPERVISORS

Hochschule für angewandte Wissenschaften Landshut

Prof. Dr.-Ing. Holger Timinger

 

Leiter des Institute for Data and Process Science

https://www.haw-landshut.de/kooperationen/institute/institute-for-data-and-process-science-idp.html

 

 

Themen:

· Agile und digitale Transformation

· Adaptive Referenzmodellierung von Prozessen

· Moderne Verfahren des Systems Engineering und Entwicklungsmanagements

 

 

 

Projects:


Friedrich-Alexander-Universität Erlangen-Nürnberg

Nikolai Körber
Nikolai Körber
Hochschule für angewandte Wissenschaften Landshut

Energy-Efficient Deep Learning-Based Image Compression for LPWANs on Resource-Constrained AIoT Devices

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

since


SUPERVISORS

Technische Universität München

PD Dr.-Ing. Daniel Müller-Gritschneder

Forschungsschwerpunkte:

  • Entwurfsmethoden für eingebettete Systeme
  • Edge Machine Learning (TinyML)

Projects:


Hochschule für angewandte Wissenschaften Landshut

Sina Zimmermann
Sina Zimmermann
Hochschule für angewandte Wissenschaften Neu-Ulm

Incentives for Sustainable Sustainable Tranportation Behaviour Enabled by Digital Mobility Platforms

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

since


SUPERVISORS

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

https://www.hs-neu-ulm.de/forschung/forschungsinstitute-und-kompetenzzentren/institut-fuer-dienstleistungsmanagement/

 

Projects:


Sebastian Renner
Sebastian Renner

Sichere leichtgewichtige authentifizierte Verschlüsselung für kritische Infrastrukturen im Internet der Dinge

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

since


SUPERVISORS

Technische Universität München

Prof. Dr.-Ing. Georg Sigl

Forschung:

 

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:


Markus Schmidtner
Markus Schmidtner
Hochschule für angewandte Wissenschaften Landshut

Konzeption und Realisierung eines adaptiven Referenzmodells für agile und hybride Vorgehensmodelle im Produktentstehungsprozess der Automobilindustrie

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

since


SUPERVISORS

Hochschule für angewandte Wissenschaften Landshut

Prof. Dr.-Ing. Holger Timinger

 

Leiter des Institute for Data and Process Science

https://www.haw-landshut.de/kooperationen/institute/institute-for-data-and-process-science-idp.html

 

 

Themen:

· Agile und digitale Transformation

· Adaptive Referenzmodellierung von Prozessen

· Moderne Verfahren des Systems Engineering und Entwicklungsmanagements

 

 

 

Projects:


Friedrich-Alexander-Universität Erlangen-Nürnberg

Peter Meier
Peter Meier
Technische Hochschule Deggendorf

Real-Time Signal Processing Algorithms for Interactive Music Analysis Applications

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

since


SUPERVISORS

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:


Stefan Böhm
Stefan Böhm
Technische Hochschule Rosenheim

Untersuchung verschiedener Ansätze der künstlichen Intelligenz zur Optimierung der Prozessabläufe und Mensch-Maschinen-Kollaboration in der I4.0-Produktion

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

since


SUPERVISORS

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:


Elisabeth Wittmann
Elisabeth Wittmann
Ostbayerische Technische Hochschule Regensburg

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


SUPERVISORS

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:


Theresa Meyer
Theresa Meyer
Hochschule für angewandte Wissenschaften Würzburg-Schweinfurt

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


SUPERVISORS

Hochschule für angewandte Wissenschaften 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:


Markus Miller
Markus Miller
Hochschule für angewandte Wissenschaften 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


Simon Seibt
Simon Seibt
Technische Hochschule Nürnberg

Bildbasierte Medienproduktionskette

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

since


SUPERVISORS

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:


Tobias Fertig
Tobias Fertig
Hochschule für angewandte Wissenschaften Würzburg-Schweinfurt

Messen der Information Security Awareness in KMUs

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

since


Helge Olberding
Helge Olberding
Hochschule für angewandte Wissenschaften Würzburg-Schweinfurt

Thematische Kartographie und 3D-Geovisualisierung in interaktiven VR-Anwendungen

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

since


SUPERVISORS

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:


Hochschule für angewandte Wissenschaften Würzburg-Schweinfurt

Stefan Kerscher
Stefan Kerscher
Technische Hochschule Deggendorf

Robuste Prädiktion von Verkehrsteilnehmern in einer urbanen Umgebung

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

since


SUPERVISORS

Technische Hochschule Deggendorf

Prof. Dr.-Ing. Nikolaus Mueller

  • Autonomes Fahren, vor allem modellbasierter Ansatz
  • Ansteuerverfahren von mehrphasigen elektrischen Maschinen

Projects:


Universität Regensburg

Manuel Fritsche
Manuel Fritsche
Hochschule für angewandte Wissenschaften Coburg

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


Hanning Liang
Hanning Liang
Hochschule für angewandte Wissenschaften Landshut

Deflectometric Measurement of the Topography of Reflecting Freeform Surfaces in Motion

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

since


SUPERVISORS

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:


Florian Olbrich
Florian Olbrich
Ostbayerische Technische Hochschule Regensburg

Safety Systems for UAVs

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

since


Bettina Kriegl
Bettina Kriegl
Technische Hochschule Ingolstadt

Service Innovation at Healthcare`s Frontline

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

since


SUPERVISORS

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

Prof. Dr. Herbert Woratschek

Projects:


Daniel Vögele
Daniel Vögele
Ostbayerische Technische Hochschule Regensburg

Kamerabasiertes System zur Ermittlung der realen Aufspannsituation auf Werkzeugmaschinen

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

since


SUPERVISORS

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:


Thomas Schulz
Thomas Schulz
Hochschule für angewandte Wissenschaften Neu-Ulm

A Reference Architecture for Smart Mobility Platforms

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

since


SUPERVISORS

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

https://www.hs-neu-ulm.de/forschung/forschungsinstitute-und-kompetenzzentren/institut-fuer-dienstleistungsmanagement/

 

Projects:


Gabriel Herl
Gabriel Herl
Technische Hochschule Deggendorf

Multipositionale Computertomographie

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

since


SUPERVISORS

Technische Hochschule Deggendorf

Prof. Dr.-Ing. Jochen Hiller

.

Projects:


Philipp Koch
Technische Hochschule Nürnberg

Befahrbarkeitsanalyse in unwegsamem Gelände unter Berücksichtigung der kinematischen Konzepte mobiler Roboter

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

since


SUPERVISORS

Julius-Maximilians-Universität Würzburg

Technische Hochschule Nürnberg

Andreas Schütz
Andreas Schütz
Hochschule für angewandte Wissenschaften Würzburg-Schweinfurt

Effiziente und zielgerichtete Sensibilisierung der Mitarbeiter von kleinen und mittelständischen Unternehmen für Informationssicherheit

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

since



Alumni

Dr. rer. nat. Manuel Ciba
Manuel Ciba
Technische Hochschule Aschaffenburg

Messung der Synchronität und Abschätzung der Konnektivität von in-vitro Spike-Trains

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

to


SUPERVISORS

Technische Hochschule Aschaffenburg

Dr.-Ing. Matthias Niedermaier
Matthias Niedermaier
Hochschule für angewandte Wissenschaften Augsburg

Security Challenges and Building Blocks for Robust Industrial Internet of Things Systems

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

to


SUPERVISORS

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:

 

Projects:


Katja Auernhammer
Katja Auernhammer
Technische Hochschule Nürnberg

Mask-based Black-box Attacks on Safety-Critical Systems that Use Machine Learning

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

to


SUPERVISORS

Technische Hochschule Nürnberg

Friedrich-Alexander-Universität Erlangen-Nürnberg

Markus Zoppelt
Markus Zoppelt
Technische Hochschule Nürnberg

Software Security Design for Cyber-Physical Systems

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

to


SUPERVISORS

Friedrich-Alexander-Universität Erlangen-Nürnberg

Prof. Dr. Dominique Schröder

Projects:


Technische Hochschule Nürnberg

Dr.-Ing. Maria Chizhova
Maria Chizhova
Hochschule für angewandte Wissenschaften Würzburg-Schweinfurt

Virtuelle 3D-Rekonstruktion von zerstörten russisch-orthodoxen Kirchen aus unvollständigen Punktwolken

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

to


SUPERVISORS

Hochschule für angewandte Wissenschaften 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:


Dr. rer. nat. Markus Ring
Markus Ring
Hochschule für angewandte Wissenschaften Coburg

Detektion sicherheitskritischer Ereignisse in Unternehmensnetzwerken mittels Data Mining

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

to


SUPERVISORS

Hochschule für angewandte Wissenschaften Coburg

Julius-Maximilians-Universität Würzburg

Prof. Dr. Andreas Hotho

Research Focus:

  • Data Science
  • Text Mining
  • Semantic Web

Projects:


Dr. rer. nat. Rainer Koch
Rainer Koch

Sensor Fusion for Precise Mapping of Transparent and Specular Reflective Objects

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

to


SUPERVISORS

Julius-Maximilians-Universität Würzburg

Technische Hochschule Nürnberg

Prof. Dr. rer. nat. Christian Pfitzner
Christian Pfitzner

Visual Human Body Weight Estimation with Focus on Clinical Applications

MEMBER IN THE JOINT ACADEMIC PARTNERSHIP

to


SUPERVISORS

Julius-Maximilians-Universität Würzburg

Technische Hochschule Nürnberg

Publications

2021

  • 1.
    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).
  • 2.
    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).
  • 3.
    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).
  • 4.
    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).
  • 5.
    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).
  • 6.
    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).
  • 7.
    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).
  • 8.
    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).
  • 9.
    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).
  • 10.
    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).
  • 11.
    Schmidtner, M., Doering, C., Timinger, H.: Agile Working During COVID-19 Pandemic. IEEE Engineering Management Review. 49, 18–32 (2021).
  • 12.
    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).
  • 13.
    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).

2020

  • 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).
  • 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).
  • 3.
    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).
  • 4.
    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).
  • 5.
    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).
  • 6.
    Schulz, T., Böhm, M., Gewald, H., Krcmar, H.: Smart mobility – an analysis of potential customers’ preference structures Electronic Markets. Electronic Markets. Springer (2020).
  • 7.
    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).
  • 8.
    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).
  • 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).
  • 10.
    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).
  • 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).
  • 12.
    Schlör, D., Ring, M., Krause, A., Hotho, A.: Financial Fraud Detection with Improved Neural Arithmetic Logic Units. Springer (2020).
  • 13.
    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).
  • 14.
    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).
  • 15.
    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).
  • 16.
    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).
  • 17.
    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).
  • 18.
    Schütz, A., Fertig, T., Weber, K.: Analyze Before You Sensitize: Preparation of a Targeted ISA Training. 53rd Hawaii International Conference on System Sciences (2020).
  • 19.
    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).
  • 20.
    Schulz, T., Gewald, H., Böhm, M., Krcmar, H.: Smart Mobility: Contradictions in Value Co-Creation. Information Systems Frontiers. 22, (2020).
  • 21.
    Schlör, D., Ring, M., Hotho, A.: iNALU: Improved Neural Arithmetic Logic Unit. Frontiers in Artificial Intelligence. 3, 71 (2020).
  • 22.
    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).
  • 23.
    Fertig, T., Schütz, A.: About the Measuring of Information Security Awareness: A Systematic Literature Review. 53rd Hawaii International Conference on System Sciences (2020).
  • 24.
    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).
  • 25.
    Schlör, D., Ring, M., Krause, A., Hotho, A.: Financial Fraud Detection with Improved Neural Arithmetic Logic Units. Presented at the (2020).
  • 26.
    Wunderlich, S., Ring, M., Landes, D., Hotho, A.: Comparison of System Call Representations for Intrusion Detection. Logic Journal of the IGPL. jzaa058, (2020).
  • 27.
    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).
  • 28.
    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).
  • 29.
    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).
  • 30.
    Schmidtner, M., Timinger, H.: HyValue – a Hybrid Reference Model for the Automotive Product Development Process. IEEE TEMS Technology & Engineering Management Society (2020).

2019

  • 1.
    Liang, H., Zimmermann, A., Reiner, K., Christian, F.: A new method for solving the height problem in deflectometry. Proceedings Applied Optical Metrology III (2019).
  • 2.
    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).
  • 3.
    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).
  • 4.
    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).
  • 5.
    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).
  • 6.
    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).
  • 7.
    Weber, K., Saueressig, G., Schütz, A.: Informationssicherheit und Datenschutz an Hochschulen organisieren. Angewandte Forschung in der Wirtschaftsinformatik. (2019).
  • 8.
    Franz, F., Fertig, T., Schütz, A.E., Vu, H.: Towards Human-readable Smart Contracts. IEEE ICBC. bll. 38–42. IEEE (2019).
  • 9.
    Kerscher, S., Ludwig, B., Müller, N.: Investigating the Added Value of Combining Regression Results from Different Window Lengths. AIKE. bll. 128–135. IEEE (2019).
  • 10.
    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).
  • 11.
    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).
  • 12.
    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).
  • 13.
    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).
  • 14.
    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).
  • 15.
    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).
  • 16.
    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).
  • 17.
    Schütz, A.E., Fertig, T., Weber, K., Müller, N.H.: How E-Learning Can Facilitate Information Security Awareness. In: Zaphiris, P. en Ioannou, A. (reds.) HCI (25). bll. 390–401. Springer (2019).
  • 18.
    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).
  • 19.
    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).
  • 20.
    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).
  • 21.
    Auernhammer, K., Tavakoli Kolagari, R., Zoppelt, M.: Attacks on Machine Learning: Lurking Danger for Accountability. Proceedings of the Association for the Advancement of Artificial Intelligence AAAI Workshop on Artificial Intelligence Safety 2019 (2019).
  • 22.
    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).
  • 23.
    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).
  • 24.
    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).
  • 25.
    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).
  • 26.
    Schütz, A., Tobias, F., Kristin, W., Nicholas, M.: How E-Learning can Faciliate Information Security Awareness. Learning and Collaboration Technologies. (2019).

2018

  • 1.
    Kasperl, S., Hanke, R., Oeckl, S., Schmitt, P., Uhlmann, N., Heinz, D., Herl, G., Hiller, J., Kämmler, A., Miller, T., Stock, A., Sauer, T.: Digitalisierung, Verarbeitung und Analyse kultureller und industrieller Objekte: Wertschöpfung aus großen Datenmengen. Jahrestagung für zerstörungsfreie Prüfung (2018), Deutsche Gesellschaft DGZfP (2018).
  • 2.
    Ring, M., Schlör, D., Landes, D., Hotho, A.: Flow-based Network Traffic Generation using Generative Adversarial Networks. Computing Research Repository CoRR. abs/1810.07795, (2018).
  • 3.
    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).
  • 4.
    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. 18, (2018).
  • 5.
    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).
  • 6.
    Schulz, T., Überle, M.: How Institutional Arrangements impede Realization of Smart Ecosystems: the Case of Door-to-Door Mobility integrators. In: Bednar, P.M., Frank, U., en Kautz, K. (reds.) Proceedings of the European Conference on Information Systems (ECIS 2018), Portsmouth, UK, 2018. bl. 135 (2018).
  • 7.
    Kasperl, S., Hanke, R., Oeckl, S., Schmitt, P., Uhlmann, N., Heinz, D., Herl, G., Hiller, J., Kämmler, A., Miller, T., Stock, A.M., Sauer, T.: 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).
  • 8.
    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).
  • 9.
    Ring, M., Landes, D., Hotho, A.: Detection of slow port scans in flow-based network traffic. PLOS ONE. 13, 1–18 (2018).
  • 10.
    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. (2018).
  • 11.
    Stieler, M., Kriegl, B.: How do consumers experience the emotional rollercoaster? A smartphone app to measure emotions continously, transfer. Werbeforschung & Praxis. 64, 43–53 (2018).
  • 12.
    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).

2017

  • 1.
    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". bl. 377–384. , Nafplio, Greece (2017).
  • 2.
    Ring, M., Wunderlich, S., Grüdl, D., Landes, D., Hotho, A.: Creation of Flow-Based Data Sets for Intrusion Detection. Journal of Information Warfare. 16, 41–54 (2017).
  • 3.
    Ring, M., Landes, D., Dallmann, A., Hotho, A.: IP2Vec: Learning Similarities Between IP Addresses. 2017 IEEE International Conference on Data Mining Workshops (ICDMW). bll. 657–666 (2017).
  • 4.
    Ring, M., Wunderlich, S., Grüdl, D., Landes, D., Hotho, A.: A Toolset for Intrusion and Insider Threat Detection. In: Palomares Carrascosa, I., Kalutarage, H.K., en Huang, Y. (reds.) Data Analytics and Decision Support for Cybersecurity: Trends, Methodologies and Applications. bl. 3–31. Springer International Publishing, Cham (2017).
  • 5.
    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). bl. 361–369. ACPI (2017).

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

Coordinator

Get in touch. We look forward to your questions and ideas for our Joint Academic Partnership Digitalisation.

Dr. Karin Streker

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