This image shows Nasser Jazdi

Nasser Jazdi

Dr.-Ing.

Deputy head of institute
Institute of Industrial Automation and Software Engineering

Contact

+49 711 685 67303
+4971168567302

Pfaffenwaldring 47
70550 Stuttgart
Germany
Room: 2.126

Journals and Conferences:
  1. 2022

    1. V. Stegmaier, T. Eberhardt, W. Schaaf, N. Jazdi, and M. Weyrich, “A behavior model for Digital Twins of vacuum suction cups,” 16th CIRP Conference on Intelligent Computation in Manufacturing Engineering, Gulf of Naples, Italy, Mai 2022, 2022.
    2. S. Kamm, N. Sahlab, N. Jazdi, and M. Weyrich, “A Concept for Dynamic and Robust Machine Learning with Contex Modeling for Heterogeneous Manufacturing Data,” 16th CIRP Conference on Intelligent Computation in Manufacturing Engineering, CIRP ICME ‘22, Italy, 2022.
    3. D. Braun, T. Müller, N. Sahlab, N. Jazdi, W. Schloegl, and M. Weyrich, “A graph-based knowledge representation and pattern mining supporting the Digital Twin creation of existing manufacturing systems,” in 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), September, 2022, 2022.
    4. N. Sahlab, H. Kahoul, N. Jazdi, and M. Weyrich, “A Knowledge Graph-Based Method for Automating Systematic Literature Reviews,” in 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2022), Oktober 2022, 2022.
    5. D. Braun, M. Riedhammer, N. Jazdi, W. Schlögl, and M. Weyrich, “A methodology for the detection of functional relations of mechatronic components and assemblies in brownfield systems,” in 55th CIRP Conference on Manufacturing Systems, 29. Juni – 1. Juli 2022, Lugano, Juni 2022, 2022.
    6. D. Dittler, D. Braun, T. Müller, V. Stegmaier, N. Jazdi, and M. Weyrich, “A procedure for the derivation of project-specific intelligent Digital Twin implementations in industrial automation,” in EKA 2022 - Entwurf komplexer Automatisierungssysteme, 17. Fachtagung“, Magdeburg, Deutschland, Juni 2022, 2022.
    7. V. Stegmaier, D. Dittler, N. Jazdi, and M. Weyrich, “A structure of modelling depths in behavior models for Digital Twins,” in 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Stuttgart, Germany, September 2022, 2022.
    8. V. Stegmaier, G. Ghasemi, N. Jazdi, and M. Weyrich, “An approach enabling Accuracy-as-a-Service for resistance-based sensors using intelligent Digital Twins,” in 55th CIRP Conference on Manufacturing Systems, Lugano, Switzerland, Juni 2022, 2022.
    9. N. Sahlab, N. Jazdi, and M. Weyrich, “An Overview on Designs and Applications of Context-Aware Automation Systems,” in 26th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES 2022), Oktober 2022, 2022.
    10. V. Stegmaier, W. Schaaf, N. Jazdi, and M. Weyrich, “Anwendungsfälle und Ansatz zur Erstellung des Digitalen Zwillings aus Sicht eines Komponentenherstellers,” Automation 2022 At: Baden-Baden, Deutschland, Juni 2022, 2022.
    11. D. Dittler, T. Müller, V. Stegmaier, N. Jazdi, and M. Weyrich, “Anwendungsoptimierte Modelladaption des Digitalen Zwillings eines modularen Produktionssystems während der Betriebsphase,” in Automation 2022 At: Baden-Baden, Deutschland, Juni, 2022, 2022.
    12. T. Müller, S. Kamm, A. Löcklin, D. White, M. Mellinger, N. Jazdi, and M. Weyrich, “Architecture and knowledge modelling for self-organized reconfiguration management of cyber-physical production systems,” International Journal of Computer Integrated Manufacturing, September, 2022, 2022.
    13. T. Müller, N. Sahlab, S. Kamm, D. Braun, C. Köhler, N. Jazdi, and M. Weyrich, “Context-enriched modeling using Knowledge Graphs for intelligent Digital Twins of Production Systems,” in 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), September, 2022, 2022.
    14. D. Dittler, P. Häbig, G. Demirel, N. Mößner, T. Müller, N. Jazdi, K. Hufendiek, and M. Weyrich, “Digitaler Zwilling für eine modulare Offshore-Plattform: Effizienzsteigerung grüner Power-to-X-Produktionsprozesse,” atp magazin, Vol. 63, No. 6-7, pp. 72-80, June 2022, 2022.
    15. V. Stegmaier, W. Schaaf, N. Jazdi, and M. Weyrich, “Efficient creation of behavior models for Digital Twins exemplified for vacuum gripping systems,” in 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Stuttgart, Germany, September 2022, 2022.
    16. N. Sahlab, D. Braun, C. Köhler, N. Jazdi, and M. Weyrich, “Extending the Intelligent Digital Twin with a context modeling service: A decision support use case,” 55th CIRP Conference on Manufacturing Systems, 29. Juni – 1. Juli 2022, Lugano, 2022.
    17. M. Samira, J. Nasser, and A. Behrang, “Intelligent Digital Twin in Health Sector: Realization of a Software-Service for Requirements- and Model-based-Systems-Engineering,” in IFAC-PapersOnLine, Volume 55, Issue 19, Pages 79-84, 2022, 2022.
    18. M. Müller, T. Jung, N. Jazdi, and M. Weyrich, “Safeguarding autonomous systems: emerging approaches, assumptions and metrics – a systematic literature review,” 11th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, 29 July 2022, 2022.
    19. M. Müller, N. Jazdi, and M. Weyrich, “Self-improving Models for the Intelligent Digital Twin: Towards Closing the Reality-to-Simulation Gap,” in 14th IFAC Workshop on Intelligent Manufacturing Systems, 5 May 2022, 2022.
    20. V. Stegmaier, W. Schaaf, N. Jazdi, and M. Weyrich, “Simulation Model for Digital Twins of Pneumatic Vacuum Ejectors,” Chemical Engineering & Technology, Band 45, September 2022, 2022.
    21. S. Kamm, S. Bickelhaupt, K. Sharma, N. Jazdi, I. Kallfass, and M. Weyrich, “Simulation-to-Reality based Transfer Learning for the Failure Analysis of SiC Power Transistors,” in 27th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Stuttgart, Germany, September 2022, 2022.
    22. M. Müller, N. Jazdi, and M. Weyrich, “Situation-based Identification of Probable Loss Scenarios of Industrial Mobile Robots,” in 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), September, 2022, 2022.
    23. M. Müller, G. Ghasemi, N. Jazdi, and M. Weyrich, “Situational Risk Assessment Design for Autonomous Mobile Robots,” 32nd CIRP Design Conference 2022, Procedia CIRP, Vol. 109, pp. 72-77, 21. Juni 2022, 2022.
    24. M. Müller, N. Jazdi, and M. Weyrich, “Towards Situative Risk Assessment for Industrial Mobile Robots,” in 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), September, 2022, 2022.
    25. A. Löcklin, M. Artelt, T. Ruppert, H. Vietz, N. Jazdi, and M. Weyrich, “Trajectory Prediction of Moving Workers for Autonomous Mobile Robots on the Shop Floor,” in 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), September 2022, 2022.
    26. A. Löcklin, F. Dettinger, M. Artelt, N. Jazdi, and M. Weyrich, “Trajectory Prediction of Workers to Improve AGV and AMR Operation based on the Manufacturing Schedule,” Procedia CIRP, Vol. 107, pp. 283-288, Mai, 2022, 2022.
  2. 2021

    1. D. Braun, F. Biesinger, N. Jazdi, and M. Weyrich, “A concept for the automated layout generation of an existing production line within the Digital Twin,” 8th CIRP Conference on Assembly Technology and Systems, 29 September-1 October 2020, Athens, 2021.
    2. A. dos Santos Roque, N. Jazdi, E. P. de Freitas, and C. E. Pereira, “A Fault Modeling Based Runtime Diagnostic Mechanism for Vehicular Distributed Control Systems,” IEEE Transactions on Intelligent Transportation Systems, S.1, 2021.
    3. S. Kamm, K. Sharma, N. Jazdi, and M. Weyrich, “A Hybrid Modelling Approach for Parameter Estimation of Analytical Reflection Models in the Failure Analysis Process of Semiconductors,” in 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE), Lyon, France, 23-27 August 2021, 2021, pp. 417–422.
    4. H. Vietz, T. Rauch, A. Löcklin, N. Jazdi, and M. Weyrich, “A Methodology to Identify Cognition Gaps in Visual Recognition Applications Based on Convolutional Neural Network,” in 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE), Lyon, France, 23-27 August 2021, 2021, pp. 2045–2050.
    5. N. Sahlab, D. Braun, T. Jung, N. Jazdi, and M. Weyrich, “A Tier-based Model for Realizing Context-Awareness of Digital Twins,” in 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 07-10 Sept. 2021, Västerås, Sweden, 2021.
    6. M. Müller, N. Jazdi, A. Löcklin, L. Hettich, and M. Weyrich, “Adaptive Models for Safe Maintenance Planning of Cyber-physical Systems,” in 15 th CIRP Conference on Intelligent Computation and Manufacturing Engineering, Gulf of Naples, Italy, July 2021, 2021.
    7. N. Sahlab, N. Jazdi, and M. Weyrich, “An Approach for Context-Aware Cyber-Physical Automation Systems,” in 4th IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control, Juli 2021, 2021.
    8. A. Löcklin, T. Jung, N. Jazdi, T. Ruppert, and M. Weyrich, “Architecture of a Human-Digital Twin as Common Interface for Operator 4.0 Applications,” Procedia CIRP, Vol. 104, pp. 458-463,  September 2021, 2021.
    9. S. Kamm, N. Jazdi, and M. Weyrich, “Automatisierte Datenintegration für den Fehleranalyseprozess von Halbleiterbauelementen mithilfe von Ontologien und Graphen,” in VDI-Kongress Automation 2021, 29.-30.06.2021, Virtuell, 2021.
    10. T. Müller, N. Jazdi, J.-P. Schmidt, and M. Weyrich, “Cyber-physical production systems: enhancement with a self-organized reconfiguration management,” in 14th CIRP Conference on Intelligent Computation in Manufacturing Engineering, Gulf of Naples, Italy, 2021.
    11. A. Löcklin, H. Vietz, D. White, T. Ruppert, N. Jazdi, and M. Weyrich, “Data administration shell for data-science-driven development,” Procedia CIRP, vol. 100, pp. 115-120, Mai 2021, 2021.
    12. T. Müller, B. Lindemann, T. Jung, N. Jazdi, and M. Weyrich, “Enhancing an Intelligent Digital Twin with a Self-organized Reconfiguration Management based on Adaptive Process Models,” in 54th CIRP Conference on Manufacturing Systems, Athens, Greece, November 2021, 2021.
    13. D. White, N. Sahlab, N. Jazdi, and M. Weyrich, “Environment modeling for evaluating system variants in model-based systems engineering,” in 54th CIRP Conference on Manufacturing Systems, Athens, Greece, September 2021, 2021.
    14. S. Kamm, K. Sharma, I. Kallfass, N. Jazdi, and M. Weyrich, “Hybrid Modelling for the Failure Analysis of SiC Power Transistors on Time-Domain Reflectometry Data,” in 2021 IEEE International Symposium on the Physical and Failure Analysis of Integrated Circuits (IPFA), 2021.
    15. T. Müller, S. Walth, N. Jazdi, and M. Weyrich, “Identification of Reconfiguration Demand and Generation of Alternative Configurations for Cyber-Physical Production Systems,” in Advances in Automotive Production Technology–Theory and Application, June 2021, 2021.
    16. M. Müller, T. Müller, B. A. Talkhestani, P. Marks, N. Jazdi, and M. Weyrich, “Industrial autonomous systems: a survey on definitions, characteristics and abilities,” at - Automatisierungstechnik, vol. 69, no. 1, pp. 3–13, 08.01.2021, 2021.
    17. S. Kamm, N. Jazdi, and M. Weyrich, “Knowledge Discovery in Heterogeneous and Unstructured Data of Industry 4.0 Systems: Challenges and Approaches,” in 54th CIRP Conference on Manufacturing Systems, Athen, Greece, September 2021, 2021.
    18. N. Sahlab, S. Kamm, T. Müller, N. Jazdi, and M. Weyrich, “Knowledge Graphs as Enhancers of Intelligent Digital Twins,” in 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), May 2021, 2021.
    19. A. Löcklin, K. Przybysz-Herz, T. Ruppert, R. Libert, L. Jakab, N. Jazdi, and M. Weyrich, “Tailored digitization with real-time locating systems: Ultra-wideband RTLS for production and logistics,” atp magazin vol. 63, no. 3, pp. 76-83, März, 2021, 2021.
    20. B. Maschler, D. Braun, N. Jazdi, and M. Weyrich, “Transfer Learning as an Enabler of the Intelligent Digital Twin,” in 31st CIRP Design Conference, Enschede, The Netherlands, May 2021, 2021.
    21. M. Liewald, C. Karadogan, A. Felde, N. Jazdi, B. Lindemann, and M. Weyrich, “Werkstückverfolgung und adaptive Steuerung beim Gesenkschmieden,” Fachzeitschrift Massivumformung, Industrieverband Massivumformung e. V., Ausgabe März 2021, 2021.
  3. 2020

    1. B. Lindemann, T. Müller, H. Vietz, N. Jazdi, and M. Weyrich, “A Survey on Long Short-Term Memory Networks for Time Series Prediction,” in 14th CIRP Conference on Intelligent Computation in Manufacturing Engineering CIRP ICME ‘20 (Virtual Conference), 15-17 July 2020, Gulf of Naples, Italy, 2020.
    2. N. Sahlab, L. Wiebelitz, P. Schmid, F. Reichelt, N. Jazdi, T. Maier, and M. Weyrich, “A User-Centered Interface Design for a Pill Dispenser,” in 9th IEEE Global Conference on Consumer Electronics (GCCE - Virtual Conference), 13-16 Oct. 2020, Cobe, Japan, pp. 915-918, 2020.
    3. B. Lindemann, N. Jazdi, and M. Weyrich, “Adaptive Quality Control for discrete large-scale Manufacturing Systems subjected to Disturbances,” in 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 8-11 Sept. 2020, Vienna, Austria, pp. 379-386, 2020.
    4. N. Sahlab, N. Jazdi, and M. Weyrich, “An intelligent medication assistance system,” in 14. AUTOMED - Automation in Medical Engineering, 02.-03.03.2020, Lübeck, 2020.
    5. B. Lindemann, N. Jazdi, and M. Weyrich, “Anomaly detection and prediction in discrete manufacturing based on cooperative LSTM networks,” in IEEE 16th International Conference on Automation Science and Engineering (CASE - Virtual Conference), 20-21 Aug. 2020, Hong Kong, Hong Kong, pp. 1003-1010, 2020.
    6. B. Maschler, H. Vietz, N. Jazdi, and M. Weyrich, “Continual Learning of Fault Prediction for Turbofan Engines using Deep Learning with Elastic Weight Consolidation,” in 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 8-11 Sept. 2020, Vienna, Austria, pp. 959-966, 2020.
    7. N. Sahlab, C. Sailer, N. Jazdi, and M. Weyrich, “Designing an elderly-appropriate voice control for a pill dispenser,” in 14. AUTOMED - Automation in Medical Engineering, 02.-03.03.2020, Lübeck, 2020.
    8. A. Löcklin, M. Müller, T. Jung, N. Jazdi, D. White, and M. Weyrich, “Digital Twin for Verification and Validation of Industrial Automation Systems – a Survey,” in 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 8-11 September 2020, Vienna, Austria, pp. 851-858, 2020.
    9. B. Maschler, S. Kamm, N. Jazdi, and M. Weyrich, “Distributed Cooperative Deep Transfer Learning for Industrial Image Recognition,” in 53rd CIRP Conference on Manufacturing Systems (Virtual Conference), 1-3 July 2020, Chicago, pp. 437-442, 2020.
    10. N. Sahlab, N. Jazdi, and M. Weyrich, “Dynamic Context Modeling for Cyber-Physical Systems Applied to a Pill Dispenser,” in 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 8-11 September 2020, Vienna, Austria, pp. 1435-1438, 2020.
    11. M. Grochowski, H. Simon, D. Bohlender, S. Kowalewski, A. Löcklin, T. Müller, N. Jazdi, A. Zeller, and M. Weyrich, “Formale Methoden für rekonfigurierbare cyber-physische Systeme in der Produktion,” at - Automatisierungstechnik, vol. 68, no. 1, 28.01.2020, pp. 3-14, 2020.
    12. T. Jung, N. Jazdi, S. Krauß, C. Köllner, and M. Weyrich, “Hardware-in-the-Loop Simulation for a Dynamic Co-Simulation of Internet-of-Things-Components,” in 53rd CIRP Conference on Manufacturing Systems (Virtual Conference), 1-3 July 2020, Chicago, pp. 1334-1339, 2020.
    13. M. Müller, B. Ashtari Talkheshtani, N. Jazdi, R. Rosen, J. C. Wehrstedt, and M. Weyrich, “Informationsmodelle mit intelligenter Auswertung für den Digitalen Zwilling,” in Automation 2020, VDI-Bericht Nr. 2375, VDI Wissensforum GmbH, Düsseldorf, pp. 659-673, 2020.
    14. T. Müller, N. Jazdi, and M. Weyrich, “Intelligentes Rekonfigurationsmanagement selbstorganisierter Produktionssysteme in der diskreten Fertigung,” in 21. VDI-Kongress AUTOMATION (Virtual Conference), 30.06.-01.07.2020, Baden-Baden, 2020.
    15. N. Jazdi, B. Ashtari Talkhestani, B. Maschler, and M. Weyrich, “Realization of AI-enhanced industrial automation systems using intelligent Digital Twins,” in 8th CIRP Conference of Assembly Technology and Systems (Virtual Conference), 30.09.-01.10.2020, Athens, Greece, pp. 396-400, 2020.
    16. A. Löcklin, T. Ruppert, L. Jakab, R. Libert, N. Jazdi, and M. Weyrich, “Trajectory Prediction of Humans in Factories and Warehouses with Real-Time Locating Systems,” in 25th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 8-11 Sept. 2020, Vienna, Austria, pp. 1317-1320, 2020.
  4. 2019

    1. B. Ashtari Talkhestani, T. Jung, B. Lindemann, N. Sahlab, N. Jazdi, W. Schloegl, and M. Weyrich, “An architecture of an Intelligent Digital Twin in a Cyber-Physical Production System,” at - Automatisierungstechnik, Band 67, Heft 9, Seiten 762–782, 2019.
    2. M. Klein, B. Maschler, A. Zeller, B. Ashtari Talkhestani, N. Jazdi, R. Rosen, and M. Weyrich, “Architektur und Technologiekomponenten eines digitalen Zwillings,” in 20. Leitkonferenz der Mess- und Automatisierungstechnik Automation 2019, 02.-03.Juli 2019, Baden-Baden, 2019.
    3. B. Lindemann, N. Jazdi, and M. Weyrich, “Detektion von Anomalien zur Qualitätssicherung basierend auf Sequence-to-Sequence LSTM Netzen,” at - Automatisierungstechnik, vol. 67, no. 12, 2019, 2019.
    4. N. Sahlab, N. Jazdi, M. Weyrich, P. Schmid, F. Reichelt, T. Maier, G. Meyer-Philippi, M. Matschke, and G. Kalka, “Development of an Intelligent Pill Dispenser Based on an IoT-Approach,” in 2. Int. Conference on Human Systems Engineering and Design - HSED 2019, 18. Sept. 2019, München, 2019, 2019.
    5. A. Zeller, N. Jazdi, and M. Weyrich, “Functional Verification of Distributed Automation Systems,” in The International Journal of Advanced Manufacturing Technology, Springer, published online: 03.07.2019, 2019.
    6. B. Maschler, N. Jazdi, and M. Weyrich, “Maschinelles Lernen für intelligente Automatisierungssysteme mit dezentraler Datenhaltung am Anwendungsfall Predictive Maintenance,” in 20. Leitkonferenz der Mess- und Automatisierungstechnik Automation 2019, 02.-03.Juli 2019, Baden-Baden, 2019.
    7. R. Noortwyck, T. Jung, N. Jazdi, R. Schulz, and M. Weyrich, “Rekonfiguration von Intralogistiksystemen mit Hilfe von Simulation unter Einbeziehung von Umfeldbedingungen - Potenzialanalyse,” in 15. Fachkolloquium der WGTL, 12. September 2019, Rostock, 2019, 2019.
    8. F. Reichelt, P. Schmid, T. Maier, N. Sahlab, N. Jazdi, M. Weyrich, G. Meyer-Philippi, G. Kalka, and M. Matschke, “User Centered Design of a Pill Dispenser for the Elderly,” in 2. Int. Conference on Human Systems Engineering and Design - HSED 2019, 17. Sept. 2019, München, 2019, 2019.
  5. 2018

    1. M. Klein, A. Löcklin, N. Jazdi, and M. Weyrich, “A negotiation based approach for agent based production scheduling,” in 28th International Conference on Flexible Automation and Intelligent Manufacturing (FAIM2018), 11.-14.05.2018, Columbus, OH, USA, 2018.
    2. P. Marks, T. Müller, D. Vögeli, T. Jung, N. Jazdi, and M. Weyrich, “Agent Design Patterns for Assistance Systems in various Domains – a Survey,” in 14th IEEE International Conference on Automation Science and Engineering (CASE), 2018.
    3. N. Jazdi and P. Marks, “Agent-based assistance system for the dynamic reliability calculation of cyber-physical systems,” in 2018 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), Cluj-Napoca, Rumänien, 2018.
    4. B. Lindemann, F. Fesenmayr, N. Jazdi, and M. Weyrich, “Anomaly Detection in Discrete Manufacturing Using Self-Learning Approaches,” in 12th CIRP Conference on Intelligent Computation in Manufacturing Engineering, 18-20 July 2018, Gulf of Naples, Italy, 2018.
    5. B. Lindemann, C. Karadogan, N. Jazdi, M. Liewald, and M. Weyrich, “Cloud-based Control Approach in Discrete Manufacturing Using a Self-Learning Architecture,” in 3rd IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control – CESCIT 2018, 2018.
    6. B. Ashtari Talkhestani, N. Jazdi, W. Schloegl, and M. Weyrich, “Consistency check to synchronize the Digital Twin of  Manufacturing automation based on anchor points,” in 51st CIRP Conference on Manufacturing Systems, Stockholm, 2018.
    7. T. Jung, N. Jazdi, and M. Weyrich, “Dynamische Co-Simulation von Automatisierungssystemen und ihren Komponenten im Internet der Dinge,” in VDI-Kongress Automation 2018, Baden-Baden, 2018.
    8. T. Jung, N. Jazdi, and M. Weyrich, “Dynamische Co-Simulation von Automatisierungssystemen und ihren Komponenten im Internet der Dinge - Prozessorientierte Interaktion von IoT-Komponenten,” in 15. Fachtagung EKA - Entwurf komplexer Automatisierungssysteme, 02.-03.05.2018, ifak/Otto-von-Guericke-Universität Magdeburg, Magdeburg, 2018.
    9. B. Lindemann, N. Jazdi, and M. Weyrich, “Multidimensionale Datenmodellierung und Analyse zur Qualitätssicherung in der Fertigungsautomatisierung,” in Automation 2018 03.-04.07.2018 Baden-Baden, 2018.
    10. M. Liewald, C. Karadogan, B. Lindemann, N. Jazdi, and M. Weyrich, “On the tracking of individual workpieces in hot forging plants,” CIRP Journal of Manufacturing Science and Technology, vol. 22, pp. 116–120, Aug. 2018.
    11. A. Zeller, N. Jazdi, and M. Weyrich, “Verifikation verteilter Automatisierungssysteme auf Basis einer Modellkomposition,” at - Automatisierungstechnik, vol. 66, no. 6, pp. 456–470, Jun. 2018.
  6. 2017

    1. B. Ashtari Talkhestani, N. Jazdi, W. Schlögl, and M. Weyrich, “A Concept in Synchronization of Virtual Production System with Real Factory Based on Anchor-Point Method,” in CIRP ICME ’17 - 11th CIRP Conference on Intelligent Computation in Manufacturing Engineering 19- 21 July 2017 Gulf of Naples, Italy, 2017.
    2. M. Klein, N. Jazdi, and M. Weyrich, “A Concept of Semantic Description for e-Production Systems in Manufacturing,” Procedia CIRP, vol. 62, pp. 589–593, 2017.
    3. T. Jung, N. Jazdi, and M. Weyrich, “A Survey on Dynamic Simulation of Automation Systems and Components in the Internet of Things,” in 2017 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2017, pp. 1–4.
    4. S. Abele, A. Zeller, N. Jazdi, and M. Weyrich, “Agentenbasierte Testplanung für industrielle IT-Systeme - Koordination des Systemtests im Entwicklungsnetzwerk,” atp edition - Automatisierungstechnische Praxis, vol. 59, no. 09, pp. 28–39, Sep. 2017.
    5. N. Jazdi, P. Marks, A. Aivaliotis, and M. Weyrich, “Ein agentenbasiertes Assistenzsystem zur dynamischen Zuverlässigkeitsberechnung von cyber-physischen Systemen,” at - Automatisierungstechnik, vol. 65, no. 11, pp. 779–792, Nov. 2017.
    6. A. Faul, N. Jazdi, and M. Weyrich, “Ertüchtigung automatisierter Systeme für den I4.0-Einsatz -Agentenbasiertes Konzept für Anbindung und Repräsentation,” atp edition - Automatisierungstechnische Praxis, vol. 59, no. 4, pp. 38–47, 2017.
    7. D. Vögeli, N. Jazdi, S. Grabmaier, M. Jüttner, M. Weyrich, P. Göhner, and W. M. Rucker, “Softwareagenten zur zuverlässigen Durchführung dezentraler multiphysikalischer Simulationen,” at - Automatisierungstechnik, vol. 65, no. 11, pp. 793–803, Nov. 2017.
    8. B. Lindemann, N. Jazdi, and M. Weyrich, “Softwaresysteme zur Qualitätssicherung in der Umformtechnik – Ein Ansatz für die echtzeitfähige und prozessübergreifende Qualitätsüberwachung,” Industrie 4.0 Management, no. 6, Dec. 2017.
    9. D. Vögeli, N. Jazdi-Motlagh, S. Grabmaier, M. Juettner, M. Weyrich, P. Göhner, and W. M. Rucker, “Using software agents for reliable decentral multiphysics simulations,” AT-AUTOMATISIERUNGSTECHNIK, vol. 65, no. 11, SI, pp. 793–803, Nov. 2017.
  7. 2016

    1. A. Faul, N. Jazdi, and M. Weyrich, “Approach to interconnect existing industrial automation systems with the Industrial Internet.,” in 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA), 2016, pp. 1–4.
    2. N. Jazdi, “Dynamic calculation of the reliability of factory automation applications: Industry 4.0 applications,” in 2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), 2016.
    3. N. Jazdi and M. Weyrich, “Dynamische Berechnung der Zuverlässigkeit von vernetzten kooperierenden Produktionssystemen,” in AUTOMATION 2016 - „Secure & reliable in the digital world“ 07.-08.06.2016 Baden-Baden, Deutschland, 2016.
    4. N. Jazdi, N. Oppenländer, and M. Weyrich, “Quantification of the quality characteristics for the calculation of software reliability,” in IFAC TC 3.3 Telematics: Control via Communication Networks, Telematics Application (TA) 2016 06.-09.2016 Porto Alegre, Brazil, 2016.
  8. 2015

    1. H. Wang, N. Jazdi, and P. Göhner, “An intelligent multi-agent based problem management system for industrial automation systems,” in AC 2015 - 12th International Conference on Applied Computing, Dublin, Maynooth, Greater Dublin, Irland, 2015.
    2. H. Wang, N. Jazdi, and M. Weyrich, “Fault Effect Analysis based on a modelling Approach for Requirements, Functions and Components,” in ACEC 2015 - 3rd International Conference on Advances in Computing, Electronics and Communication 10.-11.10.2015 Zürich, 2015.
    3. H. Wang, N. Jazdi, and P. Göhner, “Higher availability of an industrial automation system based on a remote problem management system,” in ICICM 2015 - International Conference on Information Communication and Management, Paris, Paris, 2015.
    4. M. Klein, N. Jazdi, and M. Weyrich, “Planung und Bewertung von cyber-physischen Wertschöpfungsnetzwerken,” in Automation 2015 11.-12.06.2015 Baden-Baden, Baden Baden, 2015.
  9. 2014

    1. H. Wang, N. Jazdi, and P. Göhner, “An Agent-Based Concept for Problem Management Systems to Enhance Reliability,” in TAAC 2014 - Theoretical and Applied Aspects of Cybernetics, Kiew, Kiev, 2014.

Nasser Jazdi received his Diploma in Electrical Engineering in 1997, his Ph.D. (Topic: Remote Diagnosis and Maintenance of Embedded Systems) in 2003 from the University of Stuttgart, Germany. In 2003 he joined the Institute of Industrial Automation and Software Engineering (IAS), University of Stuttgart as deputy head, researcher and lecturer. He gives two lectures: “Software Engineering” and “Reliability and Security of Automation Systems”.

His research interests are in software reliability in the context of IoT, learning aptitude for industrial automation, and artificial intelligence in industrial automation. He is an IEEE senior member, a member of the VDE Association for Electrical, Electronic & Information Technologies, a member of VDI-GPP Software Reliability Group and a member of the Berkeley Initiative in Soft Computing (BISC). In 2009 he worked for two months as invited researcher with Prof. Zadeh at Berkeley University of California.

Dr. Jazdi is the deputy head of the Institute of Industrial Automation and Software Engineering at the University of Stuttgart.

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