Events

HASS Conversations in Design, Technology, and Society Series | Hazardous Data: The Entanglements of Digital Debt in India
HASS Conversations in Design, Technology, and Society Series | Hazardous Data: The Entanglements of Digital Debt in India


Lavanya Marla (University of Illinois at Urbana-Champaign) – Greedy Policies and Penalized Information-Relaxation Bounds for EMS: Allocation and Performance Assessment
Lavanya Marla (University of Illinois at Urbana-Champaign) – Greedy Policies and Penalized Information-Relaxation Bounds for EMS: Allocation and Performance Assessment


Feng Li (Shandong University) – Distributed Intelligence: From An Algorithmic Perspective
Feng Li (Shandong University) – Distributed Intelligence: From An Algorithmic Perspective

Eugene Lim (GOVTECH) – Reverse Engineering Cryptographic Implementations in Software and Teo Sui Guan (GOVTECH) – Cryptography and its use in Government
Encryption is used everywhere in software, from custom network protocols to password vaults. We will walk through the process of reverse-engineering software to identify encryption protocols and analysing them for vulnerabilities through real-world applications. We will look at common encryption patterns in source code as well as common mistakes made by developers.

HASS Colloquium Series: Intersecting research and pedagogy: Structures of control and empowerment by Dr Roslynn Ang
HASS Colloquium Series: Intersecting research and pedagogy: Structures of control and empowerment by Dr Roslynn Ang

Vincent Oh (AWS) – Build with Generative AI on AWS
Join this session to see how to use generative AI for a range of tasks such as code generation, chatbots, text generation, search, image generation, and personalisation.

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

Bryan Low (AI Singapore) – Learning with Less Data: Automated Machine Learning and Bayesian Optimization
In this talk, I will briefly describe our research efforts on learning with less data and automated machine learning. Then, I will discuss in greater detail on one of such efforts: Bayesian optimization (BO), specifically, in how we have progressed from tackling some of the fundamental challenges/issues in BO to applying BO to more complex blackbox optimization problems.

Marie Kratz (ESSEC Business School) – Building up Cyber Resilience by Better Grasping Cyber Risk via a New Algorithm for Modelling Heavy-Tailed Data
Marie Kratz (ESSEC Business School) – Building up Cyber Resilience by Better Grasping Cyber Risk via a New Algorithm for Modelling Heavy-Tailed Data

Heather VanCura (Oracle) – What Is MySQL, and Why Should You Learn it? and Santosh Panda (Cloudrea) – Building modern databases using object stores
In this talk, we will explain why you should learn MySQL, jhow MySQL solves problems in the software industry, and how database skills can guide your career growth. We will also provide resources to help you learn and explore career opportunities utilizing this skillset.