Shermin Sherkat

Sherkat, S., Skoury, L., Wortmann, A., Wortmann, T.: 2023, Artificial Intelligence Automated Task Planning for Fabrication. In: Dörfler, K., Knippers, J., Menges, A., Parascho, S., Pottmann, H., Wortmann, T. (Eds.) Advances in Architectural Geometry 2023. De Gruyter, Berlin, Boston, pp. 249--260. (DOI: doi:10.1515/9783111162683-019)

Sherkat, Shermin., Wortmann, Andreas., Wortmann, Thomas.: 2022, Potentials of Symbolic AI Planning for Construction. In: Forumbauinformatik. 

Sherkat, S., Wortmann, A. & Wortmann, T. (2022). Potentials of Symbolic AI Planning for Construction. In. (DOI: https://doi.org/10.1016/j.autcon.2023.104995)

ITECH Thesis Projects:

• ITECH Master's Thesis Topic – Task and Motion planning for Collaborative Robotic Construction, 2023/24

Artificial Intelligence Software Academy Study Projects:

• Task Planning Using Behavior Trees - Winter semester - 2022/23
• Task Planning Using Behavior Trees - Winter semester - 2023/24

Artificial Intelligence Software Academy Seminars:

• Modeling Software Intensive Systems - Winter semester - 2023/24
• Modeling Software Intensive Systems - Winter semester - 2024/25
• Introduction to C# - winter semester - 2023/24

Workshops:

• ML meets AEC - Autumn School 2022 - hosted by IntCDC - AdvanceAEC
• Introduction to C# - winter semester - 2022/23 

Shermin Sherkat is a research associate and a doctoral candidate at the Institute for Computational Design and Construction (ICD). She holds a Bachelor of Science in Architecture from the University of Ferdowsi and a Master of Science in Digital Technology in Architecture from the University of Tehran.

Prior to joining ICD, she worked on exploring AI search methods for assembling residential buildings, and was a researcher at Morphotect design group.

With a deep interest in computational design, her research interests center on the construction automation, artificial intelligence and planning methods in AEC. She is currently working on symbolic AI for process planning in construction.