Institut für Managementwissenschaften
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Fazel Ansari

Dr.-Ing, M.Sc., B.Sc. 

Assistant Professor

Deputy Head, Research Group of Smart and Knowledge-Based Maintenance

Division of Industrial and Systems Engineering | Institute of Management Science

Vienna University of Technology (TU Wien)

Fraunhofer Austria Research GmbH | Division of Production and Logistics Management

Theresianumgasse 27 | 1040 Vienna, Austria
T: +43 1 58801 33049
F: +43 1 58801 33094
fazel.ansari@tuwien.ac.at

   

Education

  • Ph.D. in Computer Science (Summa cum laude), Faculty of Science and Technology, Universität Siegen

  • M.Sc. in Mechatronics, Dep. of Electrical Engineering and Computer Science & Dep. of Mechanical Engineering, Universität Siegen

  • B.Sc. in Mechanical Engineering, School of Mechanical Engineering, University of Tehran

Areas of Research Interests 

  • Human-Centered Cyber Physical Production Systems 

  • Knowledge Management in Industry 4.0 - Human- and Machine Factors

  • Knowledge-Based Maintenance

  • Smart and Intelligent Production Management 

  • Semantic Technology, NLP and Machine Learning

Courses/Teaching Experience

  • Quantitative Decision Making (University of Siegen, Chair of Production Logistics Management, 2016)

  • Knowledge Management in Industry 4.0 (University of Siegen, Institute of KBS & KM, 2015-2016)

  • Software Engineering for Mechatronics (University of Siegen, Institute of KBS & KM, 2009-2016)

  • Introduction to Programming (University of Siegen, Institute of KBS & KM, 2010)

Invited Talks/Workshops

  • Keynote Speaker, Future of AI based maintenance planning and operations: Can a machine maintain its health score?, Conference on Industry 4.0 & Artificial Intelligence, Ministry for Innovation and Technology & Hungarian Industry 4.0 Platform, Budapest, Hungary, 14 May, 2019.

  • Invited Lecturer, Knowledge-Based Maintenance: Today & Tommorrow , Infineon Winter School Chip Fab of the Future, Villach, Austria, 26 February, 2019.

  • Invited Technical Talk, Dynamic Maintenance-based Insurance Model for Industrial Machines, CIRP Winter Meetings, STC-O, Paris, France, 21 February, 2019.

  • Invited Technical Talk, Reciprocal Learning in Smart Factories, CIRP Winter Meetings, Collaborative Working-Group on Biologicalisation, Paris, France, 20 February, 2019.

  • Speaker, The Evolution of Knowledge-Based Maintenance: From Descriptive to Prescriptive Maintenance, IT2Industry Forum, AUTOMATICA 2018, Munich, 19 June, 2018.

  • Speaker and Workshop Organizer, Predictive Maintenance through Intelligent Data Management and Analysis, Smart Maintenance Pavillon in cooperation with the Fraunhofer Group for Production, AUTOMATICA 2018, Munich, Germany, 19 June, 2018.

  • Speaker and Workshop Co-organizer, Session 2: Predictive Maintenance through Intelligent Data Management and Analysis, Smart Maintenance Sessions organized by the Fraunhofer Group for Production, Convention Center (Saal Paris), Hannover Messe, Hannover, Germany, 26 April, 2018. 

  • Invited Technical Talk, A Problem-Solving Ontology for Human-Centered CPPS: Human-CPPS Collaboration as an Enabler of Changeability, CIRP Winter Meetings, STC-O, Paris, France, 22 February, 2018. 

  • Speaker and Workshop Organizer, Promoting Learning Analytics for Practitioners, EAPRIL Conference 2017, Häme University of Applied Sciences, Finland, 29 November, 2017.

  • Invited Symposium Discussant, The Connection Between Education and Technology in Co-Creation with High Tech Enterprises, EAPRIL Conference 2017, Häme University of Applied Sciences, Finland, 29 November, 2017.

  • Invited Talk, Predictive Analytics in Maintenance of Cyber Physical Systems, Knowledge Management Workshop for Industry and Production 4.0 – Machine Meets Knowledge, Stuttgart, June 24, 2015.

Professional Membership

  • Executive Board Member at European Association for Practitioner Research on Improving Learning (EAPRIL), Since Dec. 2017 (News link

  • Member of IEEE Technology and Engineering Management Society (TEMS)

    • Technical Activity Committee in Engineering Processes

    • Technical Activity Committee in Innovation

  • Member of the Institute of Electrical and Electronics Engineers (IEEE)

Publications

In Press/Preprint (with respect to areas of research)

Human-Centered CPPS:

  • F. Ansari, Knowledge Management 4.0: Theoretical and Practical Considerations in Cyber Physical Production Systems,9th IFAC Conference on Manufacturing Modelling, Management and Control, Berlin, 28-30 August, 2019 (In Press)

Predictive & Prescriptive Data Analytics in Production Management:

  • T. Nemeth, F. Ansari, W. Sihn, A Maturity Assessment Procedure Model for realizing Knowledge-Based Maintenance Strategies in Smart Manufacturing Enterprises, Procedia Manufacturing (In Press, Winner of 2nd Best Paper Award from ICPR 2019)

Journals (Peer reviewed)

  • S. Chala, F. Ansari & M. Fathi, Towards Implementing Context-aware Dynamic Text Field for Web-based Data Collection, International Journal of Human Factors and Ergonomics, Vol. 4, No. 2, 2016, pp. 93-111.

Book Chapters (Selected)

  • A. Stockert, R. Glawar, F. Ansari & W. Sihn, Qualitätsprognose anhand Prozess-parametern einer Papiermaschine mittels Industrial Data Science, ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb, Carl Hanser Verlag, 114 (5), 2019, pp. 310-313.

  • F. Ansari, R. Glawar, & W. Sihn, Prescriptive Maintenance of CPPS by Integrating Multimodal Data with Dynamic Bayesian Networks, Machine Learning for Cyber Physical Systems, Springer, , 2020 (Online Since 10 April 2019), pp. 1-8.

  • K. Kovacs, F. Ansari, C. Geisert, E. Uhlmann, R. Glawar & W. Sihn, A Process Model for Enhancing Digital Assistance in Knowledge-Based Maintenance, Machine Learning for Cyber Physical Systems, Springer, 2019, pp. 87-96.

  • F. Ansari & R. Glawar, Knowledge-Based Maintenance, Book Chapter, In Instandhaltungslogistik, K. Matyas (Ed.), 7th Edition, Carl Hanser Verlag, 12/2018, pp. 318-342.

  • F. Ansari, Cyber-Physical Systems, Chapter In: Strategy Paper of the Research, Development & Innovation Expert Group: Priority Research Areas & Measures to Support the Austrian Research Landscape in the Context of Industry 4.0, The Association Industry 4.0 Austria (Verein Industrie 4.0 Österreich), 2018, pp.26-28. 

  • U. Seidenberg & F. Ansari, Qualitätsmanagement in der additiven Fertigung – Herausforderungen und Handlungsempfehlungen, 3D-Printing: Recht, Wirtschaft und Technik des industriellen 3D-Drucks, Handbook, A. Leupold and S. Glossner (Eds.), Verlag C.H.Beck, 2017, pp. 159-214. 

  • F. Ansari, K. Schenkelberg, U. Seidenberg & M. Fathi, Problem Solving in the Digital World: Synoptic Formalism, Incrementalism and Heuristics, Encyclopedia of Computer Science and Technology, 2nd Edition; Laplante, P., Ed.; Taylor & Francis: New York, 2017.

  • F. Ansari & M. Fathi, Meta-analysis of Maintenance Knowledge Assets Towards Predictive Cost Controlling of Cyber Physical Production Systems, Machine Learning for Cyber Physical Systems, O. Niggemann and  J. Beyerer (Eds.), Springer, 2016.

  • K. Ternai, M. Khobreh & F. Ansari, An Ontology Matching Approach for Improvement of Business Process Management, Integrated Systems: Innovations and Applications, Springer, 2015.

  • F. Ansari, I. Buethe, Y. Niu, C.-P. Fritzen & M. Fathi, Integration of Knowledge-based Approach in SHM Systems, Transactions on Engineering Technologies, Book Chapter No.: 55, pp. 765-779, Springer, 2014.

  • S. T. Mol, G. Kismihok, F. Ansari & M. Dornhöfer, Integrating Knowledge Management in the context of Evidence Based Learning: Two concept models for facilitating the assessment and acquisition of job knowledge, Integration of Practice-Oriented Knowledge Technology: Trends and Prospectives, Madjid Fathi (Ed.), Springer pp.29-46, 2013.

  • F. Ansari, M. Fathi & U. Seidenberg, Evolution of Intelligent Quality Management Process Based on Using Performance Quality Indicators, 6th Conference on Professional Knowledge Management: From Knowledge to Action, Lecture Notes in Informatics, Ronald Maier (Ed.), Vol. P-182,Gesellschaft für Informatik, Bonn, Germany, 2011, pp. 149-160.

Refereed Conference Papers (Selected)

  • M. Khobreh, F. Ansari & U. Seidenberg, Applying Job-Know Ontology towards Linking Workforce Experience and Labor Productivity in Smart Factory Industry 4.0, In Proceedings of TAKE 2019 ‐ Theory and Applications in the Knowledge Economy Conference, Vienna, Austria, July 3-5, 2019, pp. 712-728.

  • R. Glawar, F. Ansari, C. Kardos, K. Matyas & W. Sihn, Conceptual Design of an Integrated Autonomous Production Control Model in association with a Prescriptive Maintenance Model (PriMa), CIRP Life Cycle Engineering, Procedia CIRP, Vol. 80, 2019, pp. 482-487

  • W. Mayrhofer, F. Ansari, W. Sihn, S. Schlund, Konzept für ein Assistenzsystem für Arbeitsplatznahes, Reziprokes Lernen in Hochautomatisierten Produktionsumgebungen, Gesellschaft für Arbeitswissenschaft (GfA) Frühjahrskongress, 27.02.19 - 01.03.19, Dresden, Deutschland.

  • F. Ansari, P. Hold, W. Mayrhofer, S. Schlund & W. Sihn, AUTODIDACT: Introducing the Concept of Mutual Learning into a Smart Factory Industry 4.0, In Proceedings of 15th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2018), October 21-23, Budapest, Hungary, pp.61-68.

  • F. Ansari, P. Hold & W. Sihn, Human-Centered Cyber Physical Production System: How Does Industry 4.0 Impact on Decision-Making Tasks?, 2018 IEEE Technology and Engineering Management Society Conference, 27 June-1 July 2018, IL, USA.

  • T. Nemeth, F. Ansari, W. Sihn, B. Haslhofer & A. Schindler, PriMa-X: A Reference Model for Realizing Prescriptive Maintenance and Assessing its Maturity Enhanced by Machine Learning, Procedia CIRP, Vol. 72, 2018, pp. 1039-1044.

  • L. Lingitz, V. Gallina, F. Ansari, D. Gyulai, A. Pfeiffer, W. Sihn & L. Monostori, Lead Time Prediction using Machine Learning Algorithms: A Case Study by a Semiconductor Manufacturer, Procedia CIRP, Vol. 72, 2018, pp. 1051-1056.

  • F. Ansari, S. Erol & W. Sihn, Rethinking Human-Machine Learning in Industry 4.0: How does the Paradigm Shift Treat the Role of Human Learning? Procedia Manufacturing, Vol. 23C, 2018, pp. 117-122.

  • F. Ansari & U. Seidenberg, A Portfolio for Optimal Collaboration of Human and Cyber Physical Production Systems in Problem-Solving, 13th International Conference on Cognition and Exploratory Learning in Digital Age, October 28-30, Mannheim, Germany, International Association for Development of the Information Society, pp. 311-315, 2016.

  • F. Ansari, U. Seidenberg, A. Stock & M. Vogel, Cost Controlling of Wind Energy Plants using Maintenance Process Modelling, 21st IEEE International Conference on Emerging Technologies and Factory Automation (IEEE ETFA), September 6-9, 2016, Berlin, Germany, IEEE Press. 

  • S. Chala, F. Ansari & M. Fathi, A Data Warehousing System for Knowledge-Based Structural Health Monitoring of Wind Power Plant, 2016 IEEE International Conference on Electro/Information Technology (IEEE EIT), May 19-21, 2016, Grand Forks, North Dakota, USA.

  • F. Ansari, M. Dornhöfer & M. Fathi, Ein meta-analytischer Ansatz zur kontinuierlichen Verbesserung der Wissensqualität aus Cyber-physikalischen Produktionssystemen, Quality Management 4.0 - Status Quo! Quo vadis?, Kassel, Germany, Annual Conference of the Society for Quality Science (GQW), Vol. 6, pp. 187-207, February 25-26, 2016.

  • Y. Niu, I. Buethe, F. Ansari, M. Fathi & C.-P. Fritzen, Towards Integration of a Knowledge-Based Approach into SHM, 5th European-American Workshop on Reliability of NDE, Berlin, October 7-10, 2013.

  • F. Ansari, M. Fathi & U. Seidenberg, Combining Synoptic and Incremental Approaches for Improving Problem-Solving in Maintenance Planning, Monitoring and Controlling, In Proceedings of the 9th Interdisciplinary Workshop On Intangibles, Intellectual Capital And Extra-Financial Information, European Institute for Advanced Studies in Management (EIASM), Copenhagen, Denmark, September 26-27, 2013.

  • S. Nasiri, F. Ansari & M. Fathi, Dynamics of knowledge assets and change management perspectives, the 2013 IEEE International Conference on Electro/Information Technology (IEEE EIT), Rapid City, SD, USA, May 9-11, 2013, IEEE Press, pp.1-6.

  • F. Ansari, R. A. Dewa & M. Fathi, Drive System Assistance Tool for Meta-Analysis of Dimensioning and Maintenance Indicators, 38th Annual Conference of the IEEE Industrial Electronics Society (IEEE IECON 2012), Montreal, Quebec, Canada, October 25-28, 2012, IEEE Press, pp. 3113- 3119.

  • F. Ansari, M. Fathi & U. Seidenberg, Integration of Knowledge Management in Preventive- and Corrective Maintenance Cost Controlling Using Performance Quality Indicators, Twelfth International Conference on Knowledge, Culture and Change Management, University Center, Chicago, USA, July 6-8, 2012 (Recipient of Graduate Scholar Award), Common Ground Publishing.

  • F. Ansari, M. Fathi & U. Seidenberg, Developing an Algebraic Model for Administrating Preventive Maintenance Cost of Production Machines, 4th World Conference on Production & Operations Management and the 19th International Annual EurOMA Conference, University of Amsterdam, The Netherlands, July 1-5, 2012.

  • F. Ansari, S. Dienst, P. Uhr & M. Fathi, Using Data Analysis for Discovering Improvement Potentials in Production Process, 2011 Joint IEEE International Conference on Industrial Electronics (IEEE ICIT), Auburn, Alabama, USA, March 14-17, 2011, IEEE Press, pp. 279-284.

  • S. Dienst, F. Ansari, A. Holland & M. Fathi, Applying Fusion Techniques to Graphical Methods for Knowledge Based Processing of Product Use Information, 2nd International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K 2010), Valencia, Spain, October 25-28, 2010, SciTePress, pp. 136-142.

  • S. Dienst, F. Ansari, A. Holland & M. Fathi, Necessity of Using Dynamic Bayesian Networks for Feedback Analysis into Product Development, 2010 IEEE International Conference on Systems, Man and Cybernetics (IEEE SMC), Istanbul, Turkey, October 10-13, 2010, IEEE Press, 2010, pp. 939-946.

  • F. Ansari, C. Sassenberg, R. Montino & M. Fathi, Integration of Knowledge Discovery Techniques in the Quality Management Model to Achieve Higher Target Quality, 14th IEEE International Conference on Emerging Technologies and Factory Automation (IEEE ETFA), Spain, September 22-26, 2009, IEEE Press, pp.1-6.

  • F. Ansari, A. Holland & M. Fathi, Advanced Knowledge Management Concept for Sustainable Environmental Integration, 8th IEEE International Conference on Cybernetic Intelligent Systems, UK, September 9-10, 2009, IEEE Press, pp. 1-7.

  • F. Ansari, M. Khobreh, S. Nasiri & M. Fathi, Knowledge Management Support for Quality Management to Achieve Higher Customer Satisfaction, the 2009 IEEE International Conference on Electro/Information Technology (IEEE EIT), Canada, June 7-9, 2009, IEEE Press, pp. 78-83.

PhD Dissertation

Edited Book

  • M. Fathi, M. Khobreh & F. Ansari (Eds.), Professional Education and Training through Knowledge, Technology and Innovation, Universie-Universitätsverlag Siegen, ISBN 978-3-936533-77-4, 2016.