This image shows Nasser Jazdi

Nasser Jazdi

Dr.-Ing.

Academic Director, Visiting Professor at the Anhui University, Deputy head of institute
Institute of Industrial Automation and Software Engineering

Contact

+49 711 685 67303
+49 711 685 67302

Pfaffenwaldring 47
70550 Stuttgart
Germany
Room: 2.126

Journals and Conferences:
  1. 2024

    1. S. Kamm, D. Eißen, N. Jazdi-Motlagh, and M. Weyrich, “Floor Type Detection Dataset.” 2024.
    2. Y. Xia, Z. Xiao, N. Jazdi, and M. Weyrich, “Generation of Asset Administration Shell with Large Language Model Agents: Interoperability in Digital Twins with Semantic Node,” arXiv preprint arXiv:2403.17209, 2024.
  2. 2023

    1. V. Stegmaier, T. Eberhardt, W. Schaaf, N. Jazdi, and M. Weyrich, “A behavior model for Digital Twins of vacuum suction cups,” Procedia CIRP, vol. 118, pp. 958–963, 2023.
    2. G. Ghasemi, D. Braun, N. Jazdi, M. Weyrich, S. Holtkotte, N. Richter, and J. Birk, “A data-driven approach to analyze industrial process alarms using the association analysis method,” 2023, pp. 777–790.
    3. P. Häbig, D. Dittler, M. Fey, T. Müller, N. Mößner, N. Jazdi, M. Weyrich, and K. Hufendiek, “A Modular System Architecture for an Offshore Off-grid Platform for Climate-neutral Power-to-X Production in H2Mare,” May 2023.
    4. S. Kamm, P. Suthandhira, N. Jazdi, and M. Weyrich, “A Novel Architecture for Robust and Adaptive Machine Learning Using Heterogeneous Data in Condition Monitoring of Automation Systems,” 2023, pp. 1–8.
    5. D. Dittler, P. Lierhammer, D. Braun, T. Müller, N. Jazdi, and M. Weyrich, “A Novel Model Adaption Approach for intelligent Digital Twins of Modular Production Systems,” 2023, pp. 1–8.
    6. S. Kamm, S. S. Veekati, T. Müller, N. Jazdi, and M. Weyrich, “A survey on machine learning based analysis of heterogeneous data in industrial automation,” Computers in Industry, vol. 149, Aug. 2023.
    7. S. Kamm, S. S. Veekati, T. Müller, N. Jazdi-Motlagh, and M. Weyrich, “A survey on machine learning based analysis of heterogeneous data in industrial automation,” Computers in industry, vol. 149, no. C, p. 103930, 2023.
    8. S. Kamm, P. Kumar, N. Jazdi, and M. Weyrich, “An Architecture for Adaptive Machine Learning Models using Adversarial and Transfer Learning,” Procedia CIRP, vol. 120, pp. 1451–1456, Jan. 2023.
    9. V. Stegmaier, T. Eberhardt, W. Schaaf, N. Jazdi, M. Weyrich, A. Verl, and J. Gmbh, “Automated Configuration of Optimized Customer Specific Mechatronic Systems Using Behavior Models,” Jan-2023.
    10. G. Ghasemi, M. Müller, N. Jazdi, and M. Weyrich, “Complexity estimation service for change management in industrial automation systems using Digital Twin,” Procedia CIRP, vol. 119, pp. 1011–1016, 2023.
    11. M. Weiß, M. Müller, F. Dettinger, N. Jazdi, and M. Weyrich, “Continuous Analysis and Optimization of Vehicle Software Updates using the Intelligent Digital Twin,” 2023, pp. 1–7.
    12. F. Dettinger, H. Wei, M. Weiß, N. Jazdi, and M. Weyrich, “Dateneffiziente Vervollständigung des Umgebungsmodells von autonomen vernetzten Systemen mittels Sensorfusion,” 2023, pp. 513–524.
    13. M. Weiß, F. Dettinger, N. Jazdi, and M. Weyrich, “DevOps als Enabler der kontinuierlichen Funktionsverbesserung und automatisierten Update-Analyse in software-definierten Systemen,” 2023, pp. 487–500.
    14. M. Artelt, D. Dittler, G. Hildebrandt, D. Braun, N. Jazdi, and M. Weyrich, “Dynamic Production Scheduling with Intelligent Products in a Modular Production System,” 2023, pp. 1–4.
    15. V. Stegmaier, D. Dittler, N. Jazdi, and M. Weyrich, “Influence of Solvers and their Characteristics on Simulation Time and Accuracy Exemplified for a Vacuum Gripping System,” Procedia CIRP, vol. 120, pp. 714–719, Jan. 2023.
    16. J. Stümpfle, N. Sahlab, S. Kamm, P. Grimmeisen, N. Jazdi, and M. Weyrich, “InteLiv: An Architecture for Graph-Based Dynamic Context Modeling for Smart Living,” 2023, pp. 1–8.
    17. V. Stegmaier, T. Eberhardt, W. Schaaf, N. Jazdi, M. Weyrich, and A. Verl, “Literature Review and Model Proposal on the Machine Life Cycle in Industrial Automation from Different Perspectives,” Procedia CIRP, vol. 120, pp. 690–695, Jan. 2023.
    18. F. Dettinger, N. Jazdi, M. Weyrich, L. Brandl, H.-C. Reuss, U. Pecha, N. Parspour, S. Li, M. Frey, F. Gauterin, A.-T. Nägele, V. Lüntzel, and E. Sax, “Machine-Learning-Based Fault Detection in Electric Vehicle Powertrains Using a Digital Twin,” 2023.
    19. L. Brandl, F. Dettinger, N. Jazdi, U. Pecha, S. Li, A. Nägele, V. Lüntzel, E. Sax, F. Gauterin, N. Parspour, M. Weyrich, and H.-C. Reuss, “Machine-Learning-Based Fault Detection in Electric Vehicle Powertrains Using a Digital Twin,” 2023.
    20. D. Braun, N. Jazdi, W. Schloegl, and M. Weyrich, “Qualitative and quantitative evaluation of a methodology for the Digital Twin creation of brownfield production systems,” 2023, pp. 1–8.
    21. G. Ghasemi, M. Müller, N. Jazdi, and M. Weyrich, “Quality Analysis Framework based on Complexity for Change Management Using Intelligent Digital Twin,” Procedia CIRP, vol. 120, pp. 1516–1521, Jan. 2023.
    22. T. Müller, B. Caesar, M. Weiß, S. Ferhat, N. Sahlab, A. Fay, R. Oger, N. Jazdi-Motlagh, and M. Weyrich, “Reconfiguration management in manufacturing : A systematic literature review,” Automatisierungstechnik, vol. 71, no. 5, pp. 330–350, 2023.
    23. M. Müller, T. Ruppert, N. Jazdi, and M. Weyrich, “Self-improving situation awareness for human--robot-collaboration using intelligent Digital Twin,” Journal of Intelligent Manufacturing, pp. 1--19, 2023.
    24. M. Müller, T. Ruppert, N. Jazdi-Motlagh, and M. Weyrich, “Self-improving situation awareness for human–robot-collaboration using intelligent Digital Twin,” Journal of intelligent manufacturing, pp. 1–19, 2023.
    25. V. Stegmaier, W. Schaaf, N. Jazdi-Motlagh, and M. Weyrich, “Simulation Model for Digital Twins of Pneumatic Vacuum Ejectors,” Chemical engineering & technology, vol. 46, no. 1, pp. 71–79, 2023.
    26. G. Ghasemi, M. Kharde, M. Müller, N. Jazdi, and M. Weyrich, “Simulation Model Selection Process Using Complexity Measurement,” 2023, pp. 1–6.
    27. Y. Xia, M. Shenoy, N. Jazdi, and M. Weyrich, “Towards autonomous system: flexible modular production system enhanced with large language model agents,” Apr. 2023.
    28. B. C. Gül, N. Devarakonda, D. Dittler, N. Jazdi, and M. Weyrich, “Using Federated Learning in the Context of Software-Defined Mobility Systems for Predictive Quality of Service,” AUTOMATION 2023, pp. 591–610, 2023.
    29. F. Listl, J. Fischer, A. Sohr, D. Dittler, N. Jazdi, and M. Weyrich, “Utilizing ISA-95 in an Industrial Knowledge Graph for Material Flow Simulation - Semantic Model Extensions and Efficient Data Integration,” Procedia CIRP, vol. 120, pp. 1558–1563, Jan. 2023.
  3. 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. A. Dos Santos Roque, N. Jazdi-Motlagh, E. Pignaton De Freitas, and C. E. Pereira, “A Fault Modeling Based Runtime Diagnostic Mechanism for Vehicular Distributed Control Systems,” IEEE transactions on intelligent transportation systems, vol. 23, no. 7, pp. 7220–7232, 2022.
    4. D. Braun, T. Müller, N. Sahlab, N. Jazdi-Motlagh, W. Schlögl, 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), Piscataway, 2022.
    5. 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.
    6. 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.
    7. 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.
    8. 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.
    9. V. Stegmaier, D. Dittler, N. Jazdi-Motlagh, and M. Weyrich, “A Structure of Modelling Depths in Behavior Models for Digital Twins,” in 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), Piscataway, 2022.
    10. 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.
    11. A. S. Roque, V. W. Krebs, I. C. Figueiro, and N. Jazdi-Motlagh, “An analysis of machine learning algorithms in rotating machines maintenance,” in 14th IFAC Workshop on Intelligent Manufacturing Systems IMS 2022 : Tel-Aviv, Israel, 28-30 March 2022, Online, 2022, no. 55, 2, pp. 252–257.
    12. 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.
    13. 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.
    14. 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.
    15. 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.
    16. 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.
    17. T. Müller, S. Kamm, A. Löcklin, D. White, M. Mellinger, N. Jazdi-Motlagh, and M. Weyrich, “Architecture and knowledge modelling for self-organized reconfiguration management of cyber-physical production systems,” International journal of computer integrated manufacturing, 2022.
    18. Y. Xia, N. Jazdi-Motlagh, and M. Weyrich, “Automated generation of Asset Administration Shell : a transfer learning  approach with neural language model and semantic fingerprints,” in 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), 2022.
    19. T. Müller, N. Sahlab, S. Kamm, C. Köhler, D. Braun, N. Jazdi-Motlagh, 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), Stuttgart, 2022.
    20. 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.
    21. D. Dittler, P. Häbig, G. Demirel, N. Mößner, T. Müller, N. Jazdi-Motlagh, 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, 2022.
    22. 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.
    23. V. Stegmaier, W. Schaaf, N. Jazdi-Motlagh, and M. Weyrich, “Efficient Creation of Behavior Models for Digital Twins Exemplified for  Vacuum Gripping Systems,” in 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), Piscataway, 2022.
    24. 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.
    25. 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.
    26. S. Maleki, N. Jazdi-Motlagh, and B. Ashtari, “Intelligent Digital Twin in Health Sector : Realization of a Software-Service for Requirements- and Model-based-Systems-Engineering,” in 5th IFAC Workshop on Advanced Maintenance Engineering, Services and Technologies AMEST 2022, Bogotá, Colombia, 2022, no. 55, 19, pp. 79–84.
    27. 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.
    28. T. Müller, B. Maschler, D. Dittler, N. Jazdi, and M. Weyrich, “Intelligent Exploration of Solution Spaces Exemplified by Industrial Reconfiguration Management,” Jul. 2022.
    29. S. Holmes et al., “Megahertz pulse trains enable multi-hit serial femtosecond crystallography experiments at X-ray free electron lasers,” Nature Communications, vol. 13, p. 4708, 2022.
    30. M. Javedankherad, Z. Zeinalpour-Yazdi, and F. Ashtiani, “Mobility-Aware Content Caching Using Graph-Coloring.,” IEEE Trans. Veh. Technol., vol. 71, no. 5, pp. 5666–5670, 2022.
    31. M. Toloo, M. Taghizadeh-Yazdi, and A. M. Balani, “Multi-objective centralization-decentralization trade-off analysis for multi-source renewable electricity generation expansion planning: A case study of Iran.,” Comput. Ind. Eng., vol. 164, p. 107870, 2022.
    32. A. N. Sadigh, T. Bahraini, and H. S. Yazdi, “Robust classification via clipping-based kernel recursive least lncosh of error.,” Expert Syst. Appl., vol. 198, p. 116811, 2022.
    33. M. Müller, T. Jung, N. Jazdi-Motlagh, and M. Weyrich, “Safeguarding autonomous systems : emerging approaches, assumptions and metrics - a systematic literature review,” in 11th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes SAFEPROCESS 2022, Pafos, Cyprus, 2022, no. 55, 6, pp. 743–754.
    34. 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.
    35. 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.
    36. M. S. Müller, N. Jazdi-Motlagh, 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 IMS 2022 : Tel-Aviv, Israel, 28-30 March 2022, Online, 2022, no. 55, 2, pp. 126–131.
    37. V. Stegmaier, W. Schaaf, N. Jazdi, and M. Weyrich, “Simulation Model for Digital Twins of Pneumatic Vacuum Ejectors,” Chemical Engineering & Technology, vol. 46, Sep. 2022.
    38. S. Kamm, S. Bickelhaupt, K. Sharma, N. Jazdi-Motlagh, I. Kallfass, and M. Weyrich, “Simulation-to-Reality based Transfer Learning for the Failure Analysis  of SiC Power Transistors,” in 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), Stuttgart, 2022.
    39. 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.
    40. M. Müller, N. Jazdi-Motlagh, 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), Stuttgart, 2022.
    41. 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.
    42. 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.
    43. M. Eghdami, H. S. Yazdi, and N. Salehi, “Sparsity-aware support vector data description reinforced by expectation maximization.,” Expert Syst. J. Knowl. Eng., vol. 39, no. 1, 2022.
    44. 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.
    45. M. Müller, N. Jazdi-Motlagh, and M. Weyrich, “Towards Situative Risk Assessment for Industrial Mobile Robots,” in 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), Stuttgart, 2022.
    46. A. Löcklin, M. Artelt, T. Ruppert, H. Vietz, N. Jazdi-Motlagh, 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), Stuttgart, 2022.
    47. 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.
    48. 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.
    49. B. C. Gül, N. Jazdi-Motlagh, and M. Müller, “Use of the Intelligent Digital Twin for Dynamic Calculation of the Reliability of Industrial Automation Systems,” in 2022 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR), Cluj-Napoca and Online, 2022.
    50. D. White, M. Weiß, N. Jazdi-Motlagh, and M. Weyrich, “Variant generation of software-defined mechatronic systems in  model-based systems engineering,” in 2022 IEEE 27th International Conference on Emerging Technologies and Factory Automation (ETFA), Stuttgart, 2022.
  4. 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. N. Sahlab, D. Braun, T. Jung, N. Jazdi-Motlagh, and M. Weyrich, “A Tier-based Model for Realizing Context-Awareness of Digital Twins,” in 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), Online, 2021.
    7. H. Moshfegh, F. Tajeddini, H. A. Pakravan, M. Mahzoon, E. A. Yazdi, and H. B. Drissi, “A validated reduced-order dynamic model of nitric oxide regulation in coronary arteries.,” Comput. Biol. Medicine, vol. 139, p. 104958, 2021.
    8. 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.
    9. 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.
    10. M. Müller, N. Jazdi-Motlagh, and M. Weyrich, “An Approach for Context-Sensitive Situational Risk Evaluation of Autonomous Systems,” in 2021 26th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA ), Online, 2021.
    11. M. Müller, N. Schinzel, N. Jazdi-Motlagh, and M. Weyrich, “An Approach for Safeguarding Autonomous Mobile Robots Using Monitoring Tools,” in Proceedings of ASME 2021 International Mechanical Engineering Congress and Exposition (IMECE 2021), Online, 2021, vol. 13 : Safety engineering, risk, and reliability analysis; research posters, p. V013T14A039.
    12. 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.
    13. 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.
    14. H. Yazdi, I. Vukorep, M. Banach, S. Moazen, A. Nadolny, R. Starke, and H. Bazazzadeh, “Central Courtyard Feature Extraction in Remote Sensing Aerial Images Using Deep Learning: A Case-Study of Iran.,” Remote. Sens., vol. 13, no. 23, p. 4843, 2021.
    15. 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.
    16. 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.
    17. A. Yazdekhasti, M. A. Jazi, and J. Ma, “Electric vehicle charging station location determination with consideration of routing selection policies and driver’s risk preference.,” Comput. Ind. Eng., vol. 162, p. 107674, 2021.
    18. 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.
    19. 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.

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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