Events

The rapid development and widespread adoption of mobile devices, sensors, and IoT have led to the generation of vast volumes of multi-source, high-dimensional data within the broader framework of smart cities, including transportation, logistics, e-commerce, healthcare, etc. Consequently, numerous data-driven methods have been developed and implemented to address research challenges related to the design and operations of these systems. In this talk, we briefly discuss several research cases on the applications of data-driven methods in smart cities, include: (1) Descriptive methods for mobile transaction digits distribution and crowd-sourcing food delivery; (2) Predictive methods for ICU patient evaluation; (3). Prescriptive method for multi-objective matching in ride-sourcing. Through these cases, we showcase the diverse applications of data-driven methods in addressing some key challenges in smart cities.

DH Asia Webinar Series: “DocuSky: A Status Report and Its Future” by Dr. I-Mei Hung

Data placement is one of the fundamental allocation problems in storage-capable distributed systems, such as web caches and peer-to-peer networks. Motivated by such applications, we consider the non-metric data placement problem and develop distributed algorithms for computing or approximating its optimal solutions. In this problem, the goal is to store copies of the data points among cache-capacitated servers to minimize overall data storage and clients’ access costs. We first show that the non-metric data placement problem is inapproximable up to a logarithmic factor. We then provide a game-theoretic decomposition of the objective function and show that natural Glauber dynamics will converge to an optimal global solution with polynomial mixing time for a certain range of noise parameters. Moreover, we provide another auction-based distributed algorithm, which allows us to approximate the optimal solution with a theoretical performance guarantee. The proposed algorithms not only provide good performance guarantees but also will enable the system to operate in a distributed manner, hence reducing the computational load and improving the robustness to failures.

HASS Talk: Meat is Murder: Southeast Asia’s Oldest Ethical Code

DH Asia Webinar Series: “Du Fu in Paratexts: An Analytical Reading of Literary Intertextuality in Chosŏn Korea” by Jamie Jungmin Yoo

Tan Wee Siang & Yap Jian Beng (Singtel) – The Quantum Leap: Unleashing the Power of Cloud Networking

Sujoy Roy (AWS) – Building Machine Learning Solutions: A Working Backwards Approach

Adrian Tan (RSAF) – Digitalisation and You

Eric Tan & Tan Xin Yi (IMDA) – GPT-Legal (Long Text Summarization)

Steven Tan (Cyber Security Agency of Singapore) – Fortifying Email Security though Email Authentication