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A word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Ashkbous Esfahani, M., Ghorbani Totkaleh, E., & Keivanpour, S. (2025). Artificial intelligence for eco-design: a systematic review. Advanced Engineering Informatics, 69, 103989 (29 pages). External link
Amirnia, A., Ghorbani Totkaleh, E., & Keivanpour, S. (2024, July). Real-Time Video Processing in Fuzzy Posture-Based Ergonomic Analysis in a Disassembly Cell [Paper]. 6th International Conference on Intelligent and Fuzzy Systems (INFUS 2024), Canakkale, Turkey. External link
Ghorbani Totkaleh, E. (2024). Towards Human-Centric Assembly Lines: The Role of Fuzzy Expert Systems and Ergonomic Design [Ph.D. thesis, Polytechnique Montréal]. Available
Ghorbani Totkaleh, E., Keivanpour, S., Sekkay, F., & Imbeau, D. (2023, July). Optimization Framework for Assembly Line Design Problem with Ergonomics Consideration in Fuzzy Environment [Paper]. IFIP 20th International Conference on Product Lifecycle Management (PLM23), Montréal, QC, Canada. Published in IFIP advances in information and communication technology. External link
Ghorbani Totkaleh, E., Keivanpour, S., Sekkay, F., & Imbeau, D. (2024, July). Fuzzy ergonomic expert system for assembly line design problem [Paper]. 15th International Conference on Applied Human Factors and Ergonomics and the Affiliated Conference (AHFE 2024), Nice, France. External link
Ghorbani Totkaleh, E., Keivanpour, S., Sekkay, F., & Imbeau, D. (2024). Fuzzy expert system for ergonomic assembly line worker assignment and balancing problem under uncertainty. Journal of Industrial and Production Engineering, 2389963 (23 pages). External link
Ghorbani Totkaleh, E., Keivanpour, S., Sekkay, F., & Imbeau, D. (2024, September). Fuzzy Fatigue Model for Ergonomic Design of Assembly Lines Under Uncertainty [Paper]. 2024 Intelligent Systems and Applications Conference (IntelliSys 2024), Amsterdam, The Netherlands. External link
Ghorbani Totkaleh, E., Keivanpour, S., Sekkay, F., & Imbeau, D. (2024). Human-centric robotic assembly line design: a fuzzy inference system approach for adaptive workload management. International Journal of Advanced Manufacturing Technology, 134, 3805-3827. External link
Ghorbani Totkaleh, E., Keivanpour, S., Sekkay, F., & Imbeau, D. (2023). Ergonomic assembly line balancing problems evolution and future trends with insights into industry 5.0 paradigm. (Report n° CIRRELT-2023-19). External link
Kheirabadi, M., Ghorbani Totkaleh, E., & Keivanpour, S. (2025, May). LLM-Powered Operator Advisor for Human-Robot Collaboration in Sustainable Assembly-Disassembly Cells [Paper]. 5th International Conference on Human-Machine Systems (ICHMS 2025), Abu Dhabi, United Arab Emirates. External link
Mirzahosseininejad, M., Sekkay, F., Ghorbani Totkaleh, E., Amirnia, A., & Keivanpour, S. (2026). Development of a sensor-based ergonomic risk assessment framework using machine learning: Application to human-robot collaborative disassembly. International Journal of Industrial Ergonomics, 114, 103943 (15 pages). External link