Events

Karthyek Murthy & Dai Gengling (Singapore University of Technology and Design) – Presentations by the Aviation Studies Institute – Engineering Systems and Design (ESD)

Karthyek Murthy & Dai Gengling (Singapore University of Technology and Design) – Presentations by the Aviation Studies Institute

Karthyek Murthy & Dai Gengling (Singapore University of Technology and Design) – Presentations by the Aviation Studies Institute

Programming with Robots: A Hands-on Experience – by Assistant Professor Malika Meghjani, ISTD

The Straits Times interviewed SUTD Senior Lecturer Lee Chee Huei on the low collection rate of Bloobox, reusable boxes for recycling which were distributed by the National Environment Agency.

To find out more, read here

The Data and Business Analytics course provides an introduction to the Engineering Systems and Design (ESD) pillar. It focuses on using industrial or commercial data to identify an opportunity for system improvement and estimating the value of this improvement to the system owner. A signature feature of the course and the primary motivation for the course material comes from a team-based, semester-long project for an external client.

Bryan Low (AI Singapore) – Learning with Less Data: Automated Machine Learning and Bayesian Optimization

Associate Professor PhD student, Dmitrii Gromyko, won the Best Student Paper Award at The International Symposium on Plasmonics and Nanophotonics 2023. Congratulations!

Cyber security and resilience are major challenges in our modern economies; this is why they are top priorities on the agenda of governments, security and defense forces, management of companies and organizations. Hence, the need of a deep understanding of cyber risks to improve resilience. We propose here an analysis of the database of the cyber complaints filed at the French Gendarmerie Nationale. We perform this analysis with a new algorithm developed for non-negative asymmetric heavy-tailed data, which could become a handy tool for applied fields, including operations research. This method gives a good estimation of the full distribution including the tail. Our study confirms the finiteness of the loss expectation, necessary condition for insurability. Finally, we draw the consequences of this model for risk management, compare its results to other standard EVT models, and lay the ground for a classification of attacks based on the fatness of the tail. This is a joint work with M. Dacorogna and N. Debbabi.

ISTD Design Exhibition 2023