ESR4
Category
Applying Machine Learning for Real-time Structural Reinforcement
Smart Geometry 2018: Machine Minds
AI Strategies for Space Frame Structures Cluster
This project aims to explore a collaborative design process between human and computer intelligence by using Machine Learning methods and finite element analysis.
The project represents an approach to...
Learning From Physical Data
AUTHOR:
Zeynep Aksöz
In this phase of the project the possibilities of working with physical design artifacts were investigated. The experiment was aiming to learn from the designers tacit knowledge by analyzing physical models and their performances created by the designers, to design new...
ESR 4 – Multi-Criteria Optimization in Early Design Phase
ESR: Zeynep Aksoz
ESR NUMBER: ESR4
INDUSTRIAL PARTNERS: Str.ucture + Foster and Partners
INSTITUTE: IOA
DESCRIPTION:
Multiple criteria optimization is a method to find best fitting solution for a complex problem depending on several objectives mainly by maximizing or minimizing a...
ESR04- INTERACTIVE MULTIPLE CRITERIA SEARCH IN EARLY DESIGN PHASE
ESR: Zeynep Aksöz
ESR NUMBER: ESR4
INDUSTRIAL PARTNERS: Str.ucture + Foster and Partners
INSTITUTE: IOA
The involvement of machine intelligence carries the process of design into a new association between two species which continuously influence each other during the search for an ideal design...
Zeynep Aksöz
Her ongoing research topic is “Multiple Criteria Optimization in Early Design Phase”, where she focuses on the communication and integration of interdisciplinary information such as engineering performance, energy efficiency in the earlier design phases.