aydin.shishehgaran@uni-weimar.de |
Academic CV
2020 - today: Guest Researcher in Computational predictions method at Bauhaus-Universität Weimar
-Machine learning and new regression methods for predicting phenomenon
2016 - 2020: PhD candidate in Civil and Environmental Engineering at Iran University of Science and Technology -Sustainability evaluation of constructing tall buildings
2012 - 2015: Master of Science in structural engineering at University of Sistan and Balochestan
-Increasing bending capacity of RC beam using new reinforcement bar system
2005 - 2011: Bachelor of Engineering in Civil engineering at University of Semnan
-Designing the architectural and structural plans of two steel and concrete building
Research interests
Simulation: Simulating concrete reinforced (RC) and steel elements using Finite element method (FEM)
Prediction: Using the artificial neural network (ANN), deep learning (DL), gene expression Programming (GEP), and ensemble models for predicting performance of RC and steel members
Seismic, fire, and post-earthquake fire performance of RC and steel members
RC panel and shear wall steel panel (SWSP) under explosive loads
Sustainability: Sustainable development analysis of the optimized RC and steel structures
Bending: Increased bending capacity of RC beam