programs

Time and date as of 24 July 2021

* Tutorial 0: Introduction to Python, Jupyter, and Google Colab is not mandatory. However, students without any prior experiences in Python or Google Colab is advised to attend this tutorial.

*Important Notice: The schedule for “Design for additive manufacturing: Topology optimization” class is changed from Monday, 26 July 2021, 13:00 – 15:00 GMT+7, to Monday, 26 July 2021, 14:00 – 16:00 GMT+7.

**Important Notice:
There are changes in schedule for the following classes:

– 2 August 2021, How can data help design? The data science and data mining approach (Koji Shimoyama, Ph.D.)
From 08:00 – 10:00 to 13:00 – 15:00
– 2 August 2021, Tutorial and assignment 6: Data exploration and data mining
From 10:00 – 12:00 to 15:00 – 17:00
– 3 August 2021, Surrogate modelling and machine learning: modern approximation tools(Pramudita Satria Palar, Ph.D.)
From 08:00 – 10:00 to 13:00 – 15:00
– 3 August 2021, Tutorial and assignment 7: Surrogate modeling
From 10:00 – 12:00 to 15:00 – 17:00

DateTime (GMT +7)TopicsLecturer 
Week one
2021-07-1913:00 - 15:00Opening and Classroom Rules
2021-07-19 15:00 - 17:00Introduction to modern tools in engineering design and optimizationRhea Liem, Ph.D. (HKUST, Hong Kong)
2021-07-19 19:00 - 21:00Tutorial 0: Introduction to Python, Jupyter, and Google Colab (Optional)*
National holiday on 20/07/2021
2021-07-21 08:00 - 10:00Optimization problem formulationRommel Regis, Ph.D. (Saint Joseph University, USA)
2021-07-2113:00 - 15:00Classical optimization methods: Gradient-based techniquesKoji Shimoyama, Ph.D. (Tohoku University, Japan)
2021-07-21 15:00 - 17:00Tutorial and assignment 1: Gradient-based optimization technique
2021-07-22 10:00 - 12:00Stochastic optimization methods: evolutionary algorithmHemant Kumar Singh, Ph.D. (University of New South Wales, Australia)
2021-07-22 14:00 - 16:00Advanced modelling and simulations in engineering designLavi Rizki Zuhal, Ph.D. (Institut Teknologi Bandung, Indonesia) and Eky Valentian Febrianto, Ph.D. (University of Cambridge, UK)
2021-07-22 16:00 - 18:00Tutorial and assignment 2: Stochastic optimization methods
2021-07-23 8:00 - 10:00Real-world application IKazuhisa Chiba, Ph.D. (University of Electro-Communications , Japan)
2021-07-23 13:00 - 15:00Challenges in real-world optimization: Design under uncertaintyLucia Parussini, Ph.D. (University of Trieste, Italy)
2021-07-23 15:00 - 17:00Tutorial and assignment 3: Design under uncertainty
Week two
2021-07-26 14:00 - 16:00Design for additive manufacturing: Topology optimizationJoseph Morlier, Ph.D. (ISAE-SUPAERO, France)
2021-07-2616:00 - 18:00Tutorial and assignment 4: Topology optimization
2021-07-2710:00 - 12:00Compromise in design process: Multi-objective OptimizationHemant Kumar Singh, Ph.D. (University of New South Wales, Australia)
2021-07-27 16:00 - 18:00Tutorial and assignment 5: Multi-objective optimization
2021-07-28 13:00 - 15:00Multidisciplinary Design OptimizationNathalie Bartoli, Ph.D. (ONERA, France)
2021-07-29 14:00 - 16:00Real-world application IIJoel Henry, Ph.D. (Monolith AI, UK)
Week three
2021-08-02 13:00 - 15:00How can data help design? The data science and data mining approachKoji Shimoyama, Ph.D. (Tohoku University, Japan)
2021-08-02 15:00 - 17:00Tutorial and assignment 6: Data exploration and data mining
2021-08-03 13:00 - 15:00Surrogate modelling and machine learning: modern approximation toolsPramudita Satria Palar, Ph.D. (Institut Teknologi Bandung, Indonesia)
2021-08-03 15:00 - 17:00Tutorial and assignment 7: Surrogate modeling
2021-08-04 08:00 - 10:00 Introduction to Deep Learning for EngineeringMaziar Raissi, Ph.D. (University of Colorado Boulder, USA)
2021-08-04 10:00 - 12:00Tutorial and assignment 8: Deep Learning
2021-08-04 19:00 - 21:00Real World OptimizationJoaquim Martins, Ph.D. (University of Michigan, USA)
2021-08-05 08:00 - 10:00Future challenges in optimizationRhea Liem, Ph.D. (HKUST, Hong Kong)