Workshop #9 – ml meets aec / machine learning meets architecture, engineering and construction
1. To find matching points between participants’ ongoing research.
2. To explore ML methods that can solve integrative computational design and construction challenges.
3. To increase the synergy between students from different disciplines
In a hackathon fashioned style, we will match integrative computational design challenges with state-of-the-art machine learning (ML) methods. The workshop focuses on developing conceptual applications of ML within the architectural, engineering and construction (AEC) industry. The workshop is open to master students, PhDs, and Postdocs, however, to achieve competent results we request half of the participants to be IMPRS-IS students or otherwise have an ML background.
The workshop is divided into 4 sessions each consisting of 1hour and 30 minutes.
- (1) The first session covers the introduction of the workshop and participants. All participating researchers present their research in a PechaKucha format. This storytelling format assists in finding common interests and clustering participants in groups according to their matching research questions and potentially applicable methods. Groups consist of 3-4 participants. Each group will have a minimum of one student from IMPRS-IS, the doctorate school of Cyber Valley, and one from IntCDC.
- (2) The second session targets idea generation, where groups will work together to find ways to solve AEC problems with ML methods. The session will be mentored by workshop instructors.
- (3) In the third part of the workshop, groups will develop their ideas further. It is expected that each group comes up with a conceptual idea/ AEC challenge and an ML model/method that can tackle this issue.
- (4) In the last session of the workshop, participants present their ideas to the jury panel. Workshop participants, leaders and the jury will grade the work, and as an award workshop themed T-shirts will be given to the best team members.
- the workshop is open to master students, phds, and postdocs, however, to achieve competent results we request half of the participants to be imprs-is students or otherwise have an ml background.
- All participants have to prepare a pecha kucha style presentation about their research
- all participants should bring their own laptop
- You can also register by sending an email to email@example.com.
Please indicate your affiliation and current field of study in your email.