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2024
- Y. Xia, Z. Xiao, N. Jazdi, und 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.
2023
- M. Artelt, D. Dittler, G. Hildebrandt, D. Braun, N. Jazdi, und M. Weyrich, „Dynamic Production Scheduling with Intelligent Products in a Modular Production System“, 2023, S. 1–4.
- D. Braun, N. Jazdi, W. Schloegl, und M. Weyrich, „Qualitative and quantitative evaluation of a methodology for the Digital Twin creation of brownfield production systems“, 2023, S. 1–8.
- 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, und E. Sax, „Machine-Learning-Based Fault Detection in Electric Vehicle Powertrains Using a Digital Twin“, 2023.
- F. Dettinger, H. Wei, M. Weiß, N. Jazdi, und M. Weyrich, „Dateneffiziente Vervollständigung des Umgebungsmodells von autonomen vernetzten Systemen mittels Sensorfusion“, 2023, S. 513–524.
- D. Dittler, P. Lierhammer, D. Braun, T. Müller, N. Jazdi, und M. Weyrich, „A Novel Model Adaption Approach for intelligent Digital Twins of Modular Production Systems“, 2023, S. 1–8.
- G. Ghasemi, D. Braun, N. Jazdi, M. Weyrich, S. Holtkotte, N. Richter, und J. Birk, „A data-driven approach to analyze industrial process alarms using the association analysis method“, 2023, S. 777–790.
- G. Ghasemi, M. Kharde, M. Müller, N. Jazdi, und M. Weyrich, „Simulation Model Selection Process Using Complexity Measurement“, 2023, S. 1–6.
- G. Ghasemi, M. Müller, N. Jazdi, und M. Weyrich, „Quality Analysis Framework based on Complexity for Change Management Using Intelligent Digital Twin“, Procedia CIRP, Bd. 120, S. 1516–1521, Jan. 2023.
- G. Ghasemi, M. Müller, N. Jazdi, und M. Weyrich, „Complexity estimation service for change management in industrial automation systems using Digital Twin“, Procedia CIRP, Bd. 119, S. 1011–1016, 2023.
- B. C. Gül, N. Devarakonda, D. Dittler, N. Jazdi, und M. Weyrich, „Using Federated Learning in the Context of Software-Defined Mobility Systems for Predictive Quality of Service“, AUTOMATION 2023, S. 591–610, 2023.
- P. Häbig, D. Dittler, M. Fey, T. Müller, N. Mößner, N. Jazdi, M. Weyrich, und K. Hufendiek, „A Modular System Architecture for an Offshore Off-grid Platform for Climate-neutral Power-to-X Production in H2Mare“, Mai 2023.
- S. Kamm, P. Kumar, N. Jazdi, und M. Weyrich, „An Architecture for Adaptive Machine Learning Models using Adversarial and Transfer Learning“, Procedia CIRP, Bd. 120, S. 1451–1456, Jan. 2023.
- S. Kamm, P. Suthandhira, N. Jazdi, und M. Weyrich, „A Novel Architecture for Robust and Adaptive Machine Learning Using Heterogeneous Data in Condition Monitoring of Automation Systems“, 2023, S. 1–8.
- S. Kamm, S. Veekati, T. Müller, N. Jazdi, und M. Weyrich, „A survey on machine learning based analysis of heterogeneous data in industrial automation“, Computers in Industry, Bd. 149, S. 103930, Aug. 2023.
- F. Listl, J. Fischer, A. Sohr, D. Dittler, N. Jazdi, und M. Weyrich, „Utilizing ISA-95 in an Industrial Knowledge Graph for Material Flow Simulation - Semantic Model Extensions and Efficient Data Integration“, Procedia CIRP, Bd. 120, S. 1558–1563, Jan. 2023.
- M. Müller, T. Ruppert, N. Jazdi, und M. Weyrich, „Self-improving situation awareness for human--robot-collaboration using intelligent Digital Twin“, Journal of Intelligent Manufacturing, S. 1--19, 2023.
- T. Müller, B. Caesar, M. Weiß, S. Ferhat, N. Sahlab, A. Fay, R. Oger, N. Jazdi-Motlagh, und M. Weyrich, „Reconfiguration management in manufacturing : A systematic literature review“, Automatisierungstechnik, Bd. 71, Nr. 5, S. 330–350, 2023.
- V. Stegmaier, D. Dittler, N. Jazdi, und M. Weyrich, „Influence of Solvers and their Characteristics on Simulation Time and Accuracy Exemplified for a Vacuum Gripping System“, Procedia CIRP, Bd. 120, S. 714–719, Jan. 2023.
- V. Stegmaier, T. Eberhardt, W. Schaaf, N. Jazdi, und M. Weyrich, „A behavior model for Digital Twins of vacuum suction cups“, Procedia CIRP, Bd. 118, S. 958–963, 2023.
- V. Stegmaier, T. Eberhardt, W. Schaaf, N. Jazdi, M. Weyrich, und A. Verl, „Literature Review and Model Proposal on the Machine Life Cycle in Industrial Automation from Different Perspectives“, Procedia CIRP, Bd. 120, S. 690–695, Jan. 2023.
- V. Stegmaier, T. Eberhardt, W. Schaaf, N. Jazdi, M. Weyrich, A. Verl, und J. Gmbh, „Automated Configuration of Optimized Customer Specific Mechatronic Systems Using Behavior Models“, Jan-2023.
- J. Stümpfle, N. Sahlab, S. Kamm, P. Grimmeisen, N. Jazdi, und M. Weyrich, „InteLiv: An Architecture for Graph-Based Dynamic Context Modeling for Smart Living“, 2023, S. 1–8.
- M. Weiß, F. Dettinger, N. Jazdi, und M. Weyrich, „DevOps als Enabler der kontinuierlichen Funktionsverbesserung und automatisierten Update-Analyse in software-definierten Systemen“, 2023, S. 487–500.
- M. Weiß, M. Müller, F. Dettinger, N. Jazdi, und M. Weyrich, „Continuous Analysis and Optimization of Vehicle Software Updates using the Intelligent Digital Twin“, 2023, S. 1–7.
- Y. Xia, M. Shenoy, N. Jazdi, und M. Weyrich, „Towards autonomous system: flexible modular production system enhanced with large language model agents“, Apr. 2023.
2022
- D. Braun, T. Müller, N. Sahlab, N. Jazdi, W. Schloegl, und 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.
- D. Braun, M. Riedhammer, N. Jazdi, W. Schlögl, und 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.
- D. Dittler, D. Braun, T. Müller, V. Stegmaier, N. Jazdi, und 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.
- D. Dittler, P. Häbig, G. Demirel, N. Mößner, T. Müller, N. Jazdi, K. Hufendiek, und 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.
- D. Dittler, T. Müller, V. Stegmaier, N. Jazdi, und M. Weyrich, „Anwendungsoptimierte Modelladaption des Digitalen Zwillings eines modularen Produktionssystems während der Betriebsphase“, in Automation 2022 At: Baden-Baden, Deutschland, Juni, 2022, 2022.
- B. C. Gül, N. Jazdi-Motlagh, und 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.
- S. Kamm, S. Bickelhaupt, K. Sharma, N. Jazdi, I. Kallfass, und 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.
- S. Kamm, N. Sahlab, N. Jazdi, und 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.
- A. Löcklin, M. Artelt, T. Ruppert, H. Vietz, N. Jazdi, und 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.
- A. Löcklin, F. Dettinger, M. Artelt, N. Jazdi, und 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.
- M. Müller, G. Ghasemi, N. Jazdi, und 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.
- M. Müller, N. Jazdi, und 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.
- M. Müller, N. Jazdi, und 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.
- M. Müller, N. Jazdi, und 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.
- M. Müller, T. Jung, N. Jazdi, und 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.
- T. Müller, S. Kamm, A. Löcklin, D. White, M. Mellinger, N. Jazdi, und 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.
- T. Müller, B. Maschler, D. Dittler, N. Jazdi, und M. Weyrich, „Intelligent Exploration of Solution Spaces Exemplified by Industrial Reconfiguration Management“, Juli 2022.
- T. Müller, N. Sahlab, S. Kamm, D. Braun, C. Köhler, N. Jazdi, und 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.
- N. Sahlab, D. Braun, C. Köhler, N. Jazdi, und 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.
- N. Sahlab, N. Jazdi, und 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.
- N. Sahlab, H. Kahoul, N. Jazdi, und 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.
- M. Samira, J. Nasser, und 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.
- V. Stegmaier, D. Dittler, N. Jazdi, und 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.
- V. Stegmaier, T. Eberhardt, W. Schaaf, N. Jazdi, und 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.
- V. Stegmaier, G. Ghasemi, N. Jazdi, und 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.
- V. Stegmaier, W. Schaaf, N. Jazdi, und M. Weyrich, „Simulation Model for Digital Twins of Pneumatic Vacuum Ejectors“, Chemical Engineering & Technology, Band 45, September 2022, 2022.
- V. Stegmaier, W. Schaaf, N. Jazdi, und 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.
- V. Stegmaier, W. Schaaf, N. Jazdi, und M. Weyrich, „Anwendungsfälle und Ansatz zur Erstellung des Digitalen Zwillings aus Sicht eines Komponentenherstellers“, Automation 2022 At: Baden-Baden, Deutschland, Juni 2022, 2022.
- D. White, M. Weiß, N. Jazdi-Motlagh, und 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.
2021
- D. Braun, F. Biesinger, N. Jazdi, und 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.
- A. dos Santos Roque, N. Jazdi, E. P. de Freitas, und C. E. Pereira, „A Fault Modeling Based Runtime Diagnostic Mechanism for Vehicular Distributed Control Systems“, IEEE Transactions on Intelligent Transportation Systems, S.1, 2021.
- S. Kamm, N. Jazdi, und 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.
- S. Kamm, N. Jazdi, und 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.
- S. Kamm, K. Sharma, N. Jazdi, und 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, S. 417–422.
- S. Kamm, K. Sharma, I. Kallfass, N. Jazdi, und 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.
- M. Liewald, C. Karadogan, A. Felde, N. Jazdi, B. Lindemann, und M. Weyrich, „Werkstückverfolgung und adaptive Steuerung beim Gesenkschmieden“, Fachzeitschrift Massivumformung, Industrieverband Massivumformung e. V., Ausgabe März 2021, 2021.
- A. Löcklin, T. Jung, N. Jazdi, T. Ruppert, und 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.
- A. Löcklin, K. Przybysz-Herz, T. Ruppert, R. Libert, L. Jakab, N. Jazdi, und 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.
- A. Löcklin, H. Vietz, D. White, T. Ruppert, N. Jazdi, und M. Weyrich, „Data administration shell for data-science-driven development“, Procedia CIRP, vol. 100, pp. 115-120, Mai 2021, 2021.
- B. Maschler, D. Braun, N. Jazdi, und M. Weyrich, „Transfer Learning as an Enabler of the Intelligent Digital Twin“, in 31st CIRP Design Conference, Enschede, The Netherlands, May 2021, 2021.
- M. Müller, N. Jazdi, A. Löcklin, L. Hettich, und 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.
- M. Müller, T. Müller, B. A. Talkhestani, P. Marks, N. Jazdi, und 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.
- T. Müller, N. Jazdi, J.-P. Schmidt, und 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.
- T. Müller, B. Lindemann, T. Jung, N. Jazdi, und 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.
- T. Müller, S. Walth, N. Jazdi, und 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.
- N. Sahlab, D. Braun, T. Jung, N. Jazdi, und 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.
- N. Sahlab, N. Jazdi, und 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.
- N. Sahlab, S. Kamm, T. Müller, N. Jazdi, und M. Weyrich, „Knowledge Graphs as Enhancers of Intelligent Digital Twins“, in 4th IEEE International Conference on Industrial Cyber-Physical Systems (ICPS), May 2021, 2021.
- H. Vietz, T. Rauch, A. Löcklin, N. Jazdi, und 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, S. 2045–2050.
- D. White, N. Sahlab, N. Jazdi, und 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.
2020
- M. Grochowski, H. Simon, D. Bohlender, S. Kowalewski, A. Löcklin, T. Müller, N. Jazdi, A. Zeller, und 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.
- N. Jazdi, B. Ashtari Talkhestani, B. Maschler, und 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.
- T. Jung, N. Jazdi, S. Krauß, C. Köllner, und 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.
- B. Lindemann, N. Jazdi, und 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.
- B. Lindemann, N. Jazdi, und 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.
- B. Lindemann, T. Müller, H. Vietz, N. Jazdi, und 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.
- A. Löcklin, M. Müller, T. Jung, N. Jazdi, D. White, und 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.
- A. Löcklin, T. Ruppert, L. Jakab, R. Libert, N. Jazdi, und 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.
- B. Maschler, S. Kamm, N. Jazdi, und 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.
- B. Maschler, H. Vietz, N. Jazdi, und 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.
- M. Müller, B. Ashtari Talkheshtani, N. Jazdi, R. Rosen, J. C. Wehrstedt, und 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.
- T. Müller, N. Jazdi, und 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.
- N. Sahlab, L. Wiebelitz, P. Schmid, F. Reichelt, N. Jazdi, T. Maier, und 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.
- N. Sahlab, N. Jazdi, und M. Weyrich, „An intelligent medication assistance system“, in 14. AUTOMED - Automation in Medical Engineering, 02.-03.03.2020, Lübeck, 2020.
- N. Sahlab, N. Jazdi, und 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.
- N. Sahlab, C. Sailer, N. Jazdi, und 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.
2019
- B. Ashtari Talkhestani, T. Jung, B. Lindemann, N. Sahlab, N. Jazdi, W. Schloegl, und 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.
- M. Klein, B. Maschler, A. Zeller, B. Ashtari Talkhestani, N. Jazdi, R. Rosen, und M. Weyrich, „Architektur und Technologiekomponenten eines digitalen Zwillings“, in 20. Leitkonferenz der Mess- und Automatisierungstechnik Automation 2019, 02.-03.Juli 2019, Baden-Baden, 2019.
- B. Lindemann, N. Jazdi, und M. Weyrich, „Detektion von Anomalien zur Qualitätssicherung basierend auf Sequence-to-Sequence LSTM Netzen“, at - Automatisierungstechnik, vol. 67, no. 12, 2019, 2019.
- B. Maschler, N. Jazdi, und 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.
- R. Noortwyck, T. Jung, N. Jazdi, R. Schulz, und 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.
- F. Reichelt, P. Schmid, T. Maier, N. Sahlab, N. Jazdi, M. Weyrich, G. Meyer-Philippi, G. Kalka, und 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.
- N. Sahlab, N. Jazdi, M. Weyrich, P. Schmid, F. Reichelt, T. Maier, G. Meyer-Philippi, M. Matschke, und 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.
- A. Zeller, N. Jazdi, und M. Weyrich, „Functional Verification of Distributed Automation Systems“, in The International Journal of Advanced Manufacturing Technology, Springer, published online: 03.07.2019, 2019.
- Vorlesungsassistent Technologien und Methoden der Softwaresysteme 2
- Dozent Zuverlässigkeit und Sicherheit von Automatisierungssystemen
- Betreuer von Bachelor-, Forschungs- und Masterarbeiten
- Erstellung und Betreuung von Multimedia-Angeboten zu den Lehrveranstaltungen des IAS
- Oberaufsicht über alle Lehrveranstaltungen des IAS
- Intelligente Automatisierungssysteme
- Absicherung von Automatisierungstechnik
- Softwarezuverlässigkeit
- Profil auf ResearchGate
- Profil auf ORCID
- Senior Member of Institute of Electrical and Electronics Engineers (IEEE)
- Mitglied im VDE Verband der Elektrotechnik Elektronik Informationstechnik
- Mitglied im Fachausschuss 6.12 - Durchgängiges Engineering von Leitsystemen
- Mitglied im Fachauschuss 510 Softwarezuverlässigkeit
- Administrative Aufgaben
- Projekt- und Finanzverwaltung
- Mitglied des Großen Fakultätsrats der Fakultät 05
- Mitglied des AKAM-Vorstands
- Vertreter des IAS im Adminkreis des Fachbereichs ET-IT
- Mitglied des Senatsausschusses Lehre und Weiterbildung
- Senatsausschuss Lehrerbildung
- Mitglied des Nutzerausschusses des Zentrums für Sprachausbildung
- Leiter der Geschäftsstelle des Informatikverbunds Stuttgart
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.