Institut für Managementwissenschaften
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Fazel Ansari

Dr.-Ing, M.Sc., B.Sc. 

Assistant Professor

Vienna University of Technology

Institute of Management Science | Division of Industrial and Systems Engineering

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, University of Siegen

  • M.Sc. in Mechatronics, University of Siegen

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

Research Interests 

  • Human-Centered Cyber Physical Production Systems (Collaborative Problem-Solving and Reciprocal Learning)

  • Knowledge-Based Maintenance (Maintenance 4.0)

  • Predictive and Prescriptive Analytics

  • Applied Knowledge Management in Industry 4.0

Courses/Teaching Experience

  • Knowledge-Driven Management of Cyber Physical Production Systems  (TU Wien, IMW, In preparation for 2018)

  • Knowledge-Based Maintenance (TU Wien, IMW, since 2017)

  • Quantitative Decision Making (University of Siegen, Chair of PLM, 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)

Professional Membership

  • 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

  •  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, In Press. 

  • U. Seidenberg and 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, In press.

PhD Dissertation

Journals

  • F. Ansari, M. Fathi & U. Seidenberg, Problem-Solving Approaches in Maintenance Cost Management: A Literature Review, Journal of Quality in Maintenance Engineering, Volume: 22, Issue: 4, Emerald Group Publishing Limited, 2016, pp.334 – 352.

  • 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 (IJHFE), Inderscience Enterprises Ltd., Vol. 4, No. 2, 2016, pp. 93-111.

  • M. Khobreh, F. Ansari, M. Fathi, R. Vas, S. T. Mol, H. A. Berkers & K. Varga, An Ontology-based Approach for the Semantic Representation of Job Knowledge, IEEE Transaction on Emerging Topics in Computing, Vol. 4, Issue: 3, 2015, pp. 462-473.

  • S. Dienst, F. Ansari & M. Fathi, Integrated System for Analyzing Maintenance Records in Product Improvement, International Journal of Advanced Manufacturing Technology, Springer, 2015, Vol. 76, Issue 1-4 , pp. 545-564.
  • F. Ansari, P. Uhr & M. Fathi, Textual Meta-analysis of Maintenance Management’s Knowledge Assets, International Journal of Services, Economics and Management, Inderscience Enterprises Ltd., Vol. 6, No. 1, 2014, pp. 14-37.

  • A. Klahold, P. Uhr, F. Ansari & M. Fathi,Using Word Association to Detect Multi-topic Structures in Text Documents , IEEE Intelligent Systems, Volume: 29, Issue: 5,  IEEE Computer Society, 2013, pp. 40 - 46.

Book Chapters (Selected)

  • 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)

  • 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.

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.

For complete list of publications, please visit the ResearchGate.