Prof. Dr.-Ing. habil. Matthias Eifler, M.B.A.
Professor of: B.Eng. Robotics
An expert on industrial measuring devices calibration, with extensive experience in various research projects at both the University of California and the Technische Universität Kaiserslautern. In addition, Matthias Eifler acts as the managing director of Opti-Cal GmbH since 2018.
Matthias Eifler teaches at the IU University of Applied Sciences online studies department since 2020, and he also holds a teaching position at the Technische Universität Kaiserslautern, where he graduated with a degree in Mechanical and Process Engineering in 2013.
Following his graduation, Matthias Eifler has worked as a research assistant at the Chair for Measurement Technology and Measurement in Kaiserslautern, while earning a Master’s degree in Business Administration from IU online.
He earned his PhD in Production Metrology in 2016, after which he has worked in different research projects at both the University of California and the Technische Universität Kaiserslautern, where he was appointed as a Priv.-Doz. of measurement technology in 2019. In addition, Matthias Eifler acts as the managing director of Opti-Cal GmbH since 2018.
His main research topics are industrial measuring devices calibration and signal processing in the context of geometric product specification.
Eifler, M.; Hering, J.; von Freymann, G.; Seewig, J.: Calibration sample for arbitrary metrological characteristics of optical topography measuring instruments. Optics Express 26 (2018), 13, S. 16609-16623.
Eifler, M.; Keksel, A.; Seewig, J.: Comparison of material measures for the determination of transfer characteristics of surface topography measuring instruments. Surface Topography: Metrology and Properties 7 (2019), 015024.
Eifler, M.; Garretson, I.C.; Linke B.S.; Das, J.; Torner, F.; Seewig, J.: Effects of vibratory finishing of 304 stainless steel samples on areal roughness parameters: A correlational analysis for anisotropy parameters. Journal of Materials Processing Technology 273 (2019), 116256.
Eifler, M.: Tendenzen und Herausforderungen in der geometrischen Produktspezifikation am Beispiel der Rauheitsmesstechnik. Habilitationsschrift. In: Seewig, J.: (Hrsg.): Berichte aus dem Lehrstuhl für Messtechnik und Sensorik 9. Kaiserslautern, Technische Universität Kaiserslautern (2019).
Eifler, M.; Klauer, K.; Seewig, J.; Kirsch, B.; Aurich, J.C.: Model-based design of areal material measures with component surfaces. Surface Topography: Metrology and Properties 7 (2019), 044003.
Prof. Dr. Alexander Lawall
Professor of: B.Sc. + M.Sc. Cyber Security
A professor of cyber security at IU. Among other roles he has fulfilled in the private sector, he was the head of information security management at the REHAU Group.
Prof. Dr. Alexander Lawall is the director of the Bachelor and Master courses in Cyber Security at IU University of Applied Sciences, and a professor of cyber security. His focus is on system and network security, the security of web applications and cloud technology, security in relation to the Internet of Things (IoT) and industrial information technology.
After obtaining his PhD from the Technical University of Dresden, Alexander Lawall turned to work in the private sector as an information security specialist / architect, later advancing to a leading global position as the head of information security management at the REHAU Group.
In addition, he has conducted regular academic research work in the fields of information and cyber security, and his work has been published in international scientific publications. His research focus is on topics related to Industry 4.0, IoT and rights management.
Alexander Lawall. Hypergraph-Based Access Control Using Organizational Models and Formal Language Expressions – HGAC. In Markus Helfert, Andreas Holzinger, Orlando Belo, and Chiara Francalanci, editors, Data Management Technologies and Applications - Fourth International Conference, DATA 2015, Colmar, Alsace, France, July 20-22, 2015, Revised Selected Papers, Communications in Computer and Information Science. Springer International Publishing, 2016.
Alexander Lawall, Dominik Reichelt, and Thomas Schaller. Resource Management and Authorization for Cloud Services. In Proceedings of the 7th International Conference on Subject-Oriented Business Process Management, S-BPM ONE ’15, pages 18:1–18:8, New York, NY, USA, 2015. ACM.
Alexander Lawall, Thomas Schaller, and Dominik Reichelt. Restricted Relations between Organizations for Cross-Organizational Processes. In 2014 IEEE 16th Conference on Business Informatics (CBI), volume 2, pages 74–80, July 2014.
Alexander Lawall, Thomas Schaller, and Dominik Reichelt. Cross-Organizational and Context-Sensitive Modelling of Organizational Dependencies in C-ORG. In S-BPM ONE (Scientific Research), pages 89–109, Heidelberg, 2014. Springer-Verlag.
Alexander Lawall, Dominik Reichelt, and Thomas Schaller. Propagation of Agents to Trusted Organizations. In 2014 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT), volume 3, pages 433–439, Aug 2014.
Prof. Dr. Thomas Zöller
Professor of: B.Sc. Data Science
An expert on advanced analytics and artificial intelligence, and their relation to digital transformation, with a PhD in Machine Learning for Image Processing from the University of Bonn.
Prof. Dr. Zöller teaches data science at the online studies department at IU University of Applied Sciences. His research revolves around advanced analytics and artificial intelligence, and their relation to digital transformation.
Thomas Zöller studied computer science and mathematics at the University of Bonn, where he also obtained his PhD in Machine Learning for Image Processing. He spent the following years developing his dissertation in various application-based research roles, in institutions such as the Fraunhofer Society. Prof. Dr. Zöller has held several different positions in his professional career, working on business intelligence, advanced analytics and AI in a wide variety of sectors, from finance to the auto industry.
Zöller, Thomas und Buhmann, Joachim (2007): Robust Image Segmentation Using Resampling and Shape Constraints. IEEE Transactions on Pattern Recognition and Machine Intelligence (TPAMI), Vol. 29 (7), pp. 1147 - 1164, Juli 2007.
Hügelmeyer, Philipp; Doll, Thomas und Zöller, Thomas (2007): ITSimBw - Das agentenbasierte Simulationssystem der Bundeswehr. IT-Report 2007.
Zöller, Thomas Zöller (2005): Shape and Topology Constrained Image Segmentation with Stochastic Models. Dissertation, Rheinische Friedrich-Wilhelms-Universität Bonn, 2005.
Prof. Dr. Ralf Kneuper
Professor of: B.Sc. Computer Science
The acting supervisor of the Software Development, IT Management and IT Security study programmes at IU, where he has been teaching since 2016. He has, in addition to a successful academic career, worked for over two decades in the private sector, in various quality management and as a freelance consultant.
Ralf Kneuper serves as professor of Computer Science (with an emphasis on business applications) at IU University of Applied Sciences since 2016. He is the acting supervisor of the Software Development, IT Management and IT Security study programmes.
Prof. Dr. Kneuper studied mathematics in Mainz and Bonn, and earned his PhD in Computer Science from the University of Manchester. Following his graduation, he has worked for 15 years at different software and IT companies, working in quality management and software and process improvement roles.
He has worked as a freelance consultant for over twelve years, providing support for different companies in issues regarding data protection, process improvement and software quality assurance. Ralf Kneuper is an expert on process models, specifically the CMMI maturity model, topics on which has published several books. He also acts as a member of the management committee of the “Process Models for Business Application Development” think tank, a subdivision of the Gesellschaft für Informatik e. V. (GI).
Kneuper, Ralf und Macke, Martin (2019): Rolle der Transportverschlüsselung für die sichere E-Mail-Kommunikation. In: DuD Datenschutz und Datensicherheit, Heft 2/2019, S. 76-80.
Kneuper, Ralf (2018): Software Processes and Life Cycle Models. An Introduction to Modelling, Using and Managing Agile, Plan-Driven and Hybrid Processes. Springer International Publishing.
Kneuper, Ralf (2015): Messung und Bewertung von Prozessqualität – Ein Baustein der Governance. HMD – Praxis der Wirtschaftsinformatik, Band 52, Heft 2, April 2015, S. 301-311.
Kneuper, Ralf (2009): CMMI. Improving Software and Systems Development Processes Using Capability Maturity Model Integration (CMMI-DEV). Rocky Nook, San Rafael (USA).
Prof. Dr. Tobias Brückmann
Professor of: B.Sc. Business & IT
A professor and course director of the Business & IT programme at IU University of Applied Sciences, Over the last decade, he has worked on a large number of industrial IT projects for different international companies, in the insurance, banking and media industries.
Prof. Dr. Brückmann serves as a professor and course director of the Business & IT programme at IU University of Applied Sciences.
Following his studies at the Technical University of Dresden, where he studied computer science with a focus on media, Tobias Brückmann obtained a PhD in Software Technology from the University of Leipzig. He then went on to work as a researcher at the Ruhr Institute for Software Technology.
Over the last decade, he has worked on a large number of industrial IT projects for different international companies, in the insurance, banking and media industries. He has also founded CampusLab GmbH, a start-up focused on developing advanced training tools for IT topics.
Throughout his academic career, Tobias Brückmann has done research on the planning and structuring of business information systems, focusing mostly on the interface between IT departments and other branches within technological companies.
Brückmann, Tobias et. al. (2017): 'Codeless Engineering of Service Mashups – An Experience Report
Proceedings of the Fourteenth IEEE International Conference on Services Computing 2017 (SCC 2017).
Brückmann, Tobias (2017): Mehr Agilität durch Agilität - Crossfunktionale Teams. In: Business Technology Magazin, Ausgabe 4/17, S. 38-40.
Brückmann, Tobias (2017): Digitale Transformation und Flexibilität: Keine Optionen, sondern notwendige Überlebensstrategien. In: Manage it (Nov. 2017), Onlinemagazin, app Verlag GmbH.
Prof. Dr. Marian Benner-Wickner
Professor of: B.Eng. Industrial Engineering & Management
The head of the Industrial Engineering & Management and Industry 4.0 online study programmes, and a contributing member of several well-known computer science organisations: the Wikimedia Foundation, the CPS.HUB NRW and the Society for Computer Science.
Prof. Dr. Benner-Wickner is a professor of Computer Engineering at IU University of Applied Sciences, having joined our teaching staff in 2018. He also serves as the head of the Industrial Engineering & Management and Industry 4.0 online study programmes. His courses cover topics such as software engineering and gender neutral e-learning.
Marian Benner-Wickner has worked in the software industry for many years, among other things as an IT specialist trainer at CampusLab GmbH and as a software developer at the Fraunhofer Institute for Software and Systems Technology.
He obtained a PhD in Software Engineering from the University of Duisburg-Essen in 2016, where he was also in charge of the “Agenda-Driven Case Management” research cluster.
Prof. Dr. Benner-Wickner is a contributing member of several well-known computer science organisations: the Wikimedia Foundation, the CPS.HUB NRW and the Society for Computer Science. His academic works have been published in leading journals, covering issues such as ambient-assisted living solutions and smart home technologies, and the protection of minors in the digital sector.
Wilhelm Koop, Tobias Brückmann, Marian Benner-Wickner, Markus Kleinschmidt and Volker Gruhn: Situation-Based E-Learning in Software Engineering, 2018 International Conference on Software Engineering ICSE, Gothenburg, Sweden, 2018.
Tobias Brückmann, Volker Gruhn, Wilhelm Koop, Julius Ollesch, Lukas Pradel, Florian Wessling and Marian Benner-Wickner: Codeless Engineering of Service Mashups - An Experience Report, 2017 IEEE International Conference on Services Computing, SCC 2017, Honolulu, HI, USA, June 25-30, 2017.
Marian Benner-Wickner, Matthias Book and Volker Gruhn: Adapting Case Management Techniques to Achieve Software Process Flexibility, in: Managing Software Process Evolution - How to handle process change?, Springer Verlag, 2015.
Prof. Dr. Ulrich Kerzel
Professor of: M.Sc. Artificial Intelligence
A former senior data scientist at Blue Yonder, he had also worked different research positions at CERN and Cambridge University. His research work deals with modern machine learning and artificial intelligence.
Ulrich Kerzel is a professor of Data Science and Artificial Intelligence at IU University of Applied Sciences.
Following his studies, Prof. Dr. Kerzel has worked in different research positions at CERN and Cambridge University, before taking up a position at Blue Yonder as a senior data scientist. There, he led the machine learning development team, oversaw industry and trade application projects, and offered seminars for various companies seeking to involve artificial intelligence in their business operations.
Ulrich Kerzel has devoted his research to the topics of modern machine learning and artificial intelligence, and the economic benefits they offer businesses.
Kerzel, U. und Feindt, M. (2015): Prognosen bewerten – Statistische Grundlagen und Praktische Tipps. Springer-Gabler Verlag, Wiesbaden.
R. Aaij et al. [LHCb Collaboration] (2012): Measurement of the e_ective B0 s ! K+K- lifetime, Phys. Lett. B 716 (2012) 393, arXiv: hep-ex/1207.5993.
S. Chatrchyan et al. [CMS Collaboration] (2012): A New Boson with a Mass of 125 GeV Observed with the CMS Experiment at the Large Hadron Collider, Science 338 (2012), 1569-1575.
Prof. Dr. Paul Libbrecht
Professor of: M.Sc. Computer Science
Upon his graduation, he worked on NoSQL databases, semantic web and search engines at DFKI GmbH (the German Research Centre for Artificial Intelligence) in Saarbrücken, and went on to work as a software developer for Cabrilog SAS and XWiki SAS, among others.
Paul Libbrecht is a professor of Data and Computer Science at the IU University of Applied Sciences online studies department. Prof. Dr. Libbrecht teaches classes on computer science applications for web architectures, mathematical models, and intelligent learning systems.
Having studied mathematics at the University of Lausanne and the Université du Québec à Montréal, he obtained a PhD in Computer Science at the University of Saarland, with a focus on developing learning materials for intelligent tutoring systems. Upon his graduation, he worked on NoSQL databases, semantic web and search engines at DFKI GmbH (the German Research Centre for Artificial Intelligence) in Saarbrücken.
Paul Libbrecht then went on to work as a software developer for Cabrilog SAS, Curriki Inc, XWiki SAS and the Leibniz Institute for Educational Research and Educational Information. Throughout his years in the academic and business worlds, he developed expert knowledge on the infrastructure of research data, and its potential uses for learning analytics, web architectures and other data analysis fields.
Paul Libbrecht, and Matija Lokar, Issues in Combining the Use of Various Tools in Solving Mathematical Problems – Why is Copy-Paste Often Useless, Acta Didactica Napocensia, Iuliana Zsoldos-Marchis and Csaba Sárvári (Editors). Available online. 2017-05-30.
David Carlisle, Patrick Ion, Robert Miner, and others, Mathematical Markup Language (MathML) Version 3.0, W3C Recommendation, 2010-10-21.
Erica Melis, George Goguadze, Paul Libbrecht, and Carsten Ullrich, ActiveMath – a Learning Platform With Semantic Web Features, Semantic Web Technologies for e-Learning, a book edited by D. Dicheva, R. Mizoguchi and J. Greer (eds), Volume 4 The Future of Learning, IOS Press, ISBN 978-1-60750-062-9. 2009-11.
James H. Davenport, and Paul Libbrecht, The Freedom to Extend OpenMath and its Utility, Journal of Mathematics and Computer Science, number 59, SpecialIssue on Mathematical KnowledgeManagement, Manfred Kerber (ed)., 2008, Birkhäuser Verlag.