Teachings and Codes
Teachings
Graduate course:
Data driven modeling for engineers and designers
ETH Zurich
Lecture notes and codes
Undergraduate Course:
Urban modeling with Big Data and machine learning
Southeast University (Nanjing), April 2019
Lecture notes and codes
Selected invited talks
Computational Science Lab, Informatics Institute, university of amsterdam UvA, January 2020
The Alan Turing Institute, November 2019
UCL, School of Architecture, November 2019
Open Data Science Meetup Zurich, May 2019
South East University, China, April 2019
Institute of real estate and financial services, Lucerne University of Applied Sciences, Switzerland, April 2019
Foster and Partners, London, February 2019
School of Engineering, Newcastle University, February 2019
Polyhedral Structures Laboratory, School of Design, University of Pennsylvania, November 2018
Department of Architecture, TU Vienna, November 2018
Swiss Federal Institute of Aquatic Science and Technology, EAWAG, October 2018
Green peace Switzerland, May 2018
Department of Urbanism, TU-Delft, The Netherlands, March 2018
School of Computing, National University of Singapore (NUS), Singapore, March 2018
Research Colloquium, Chair of Structural Design, ETH Zurich, Uitikon, Switzerland, December 2017
Machine intelligence summit, Amsterdam, June 2017
Department of architecture, TU Vienna, March 2017
PyData Zurich, February 2017
Chair of information architecture, ETH Zurich, November 2016
School of architecture, civil and environmental engineering, EPFL, July 2015
Future cities lab, ETH- Singapore Centre, April 2015
MIT CENSAM, Singapore, June 2014
SAP Singapore, September 2013
Codes and open source projects
Github repository: https://github.com/sevamoo
Open source contributions:
SOMPY (A Python implementation of Self Organizing Map (SOM) algorithm, https://github.com/sevamoo/SOMPY)