Amirmasoud Molaei

Host institutions and supervisors

Karlsruher Institut für Technologie, Prof. Geimer

Novatron Oy, Mr. Kolu

Research project

Work performance evaluation of mobile machines in earth moving tasks by using process models and sensor data – ESR 2

Scientific backgroud

Master of Science in Electrical Engineering (Control Systems) from K. N, Toosi University of Technology, Iran (2020) with title of thesis: “Parameters identification and states estimation of Managed Pressure Drilling”. Bachelor of Engineering- Electrical (Control) from K. N, Toosi University of Technology, Iran (2017) with title of thesis: “State feedback controller design based  on Lyapunov-Krasovski functions for time-delay systems”.

Publications

  • Molaei, A., Kolu, A., Lahtinen, K., & Geimer, M. (2023). Automatic estimation of excavator actual and relative cycle times in loading operations. Automation in Construction156, 105080. https://doi.org/10.1016/j.autcon.2023.105080

  • Molaei, A., Kolu, A., Haaraniemi, N., & Geimer, M. (2023, November). Automatic Estimation of Excavator’s Actual Productivity in Trenching and Grading Operations Using Building Information Modeling (BIM). In Actuators (Vol. 12, No. 11, p. 423). MDPI. https://doi.org/10.3390/act12110423

Conference proceedings

  • Molaei, A., Geimer, M., & Kolu, A. (2023). A novel framework for the estimation of excavator’s actual productivity in the grading operation using building information modeling (BIM). In Proceedings of the 18th Scandinavian International Conference on Fluid Power (SICFP’23), 30.5.-1.6. 2023, Tampere, Finland. Ed.: T. Minav (p. 251). DOI: 10.5445/IR/1000167186
  • Molaei, A., Geimer, M., & Kolu, A. (2023, July). Evaluation of deterministic models for the excavator’s theoretical productivity estimation in the digging and trenching operations. In Proceedings of the 2023 European Conference on Computing in Construction and the 40th International CIB W78 Conference. 10.35490/EC3.2023.191
  • A. Molaei, M. Geimer and A. Kolu (2022) An Approach for Estimation of Swing Angle and Digging Depth During Excavation Operation. In Proceedings of the 39 𝑡ℎ International Symposium on Automation and Robotics in Construction. ISARC 2022, Bogotá, Colombia, 13-15 July 2022.  https://doi.org/10.22260/ISARC2022/0087 
  • Machado, T., Fassbender, D., Taheri, A., Eriksson, D., Gupta, H., Molaei, A., Forte,  P., Rai, P. K., Ghabcheloo, R., Mäkinen, S., Lilienthal,  A. J., Andreasson, H., Geimer, M. (2021). Autonomous Heavy-Duty Mobile Machinery: A Multidisciplinary Collaborative Challenge. In 2021 IEEE International Conference on Technology and Entrepreneurship (ICTE). https://doi.org/10.1109/ICTE51655.2021.9584498 Proceeding of the International Conference on Technology and Entrepreneurship (ICTE) 2021.

Conferences

knowMORE FAQ video series

Project Pitch

Video recordings

2023 European Conference on Computing in Construction: Evaluation of deterministic models for the excavator’s theoretical productivity estimation in the digging and trenching operations.

ISARC 2022: An Approach for Estimation of Swing Angle and Digging Depth During Excavation Operation.