Events
Security and Privacy of IoT Apps and Devices
iTrust Public Lecture by Dr Uluagac – In this talk, Dr Uluagac will introduce different current research projects in Cyber-Physical Systems Security Lab (CSL) related to the security and privacy of IoT devices and applications, highlighting how different machine learning algorithms enabled impeccable results.
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
Presentations by the Aviation Studies Institute
ESD Research Seminar by Karthyek Murthy & Dai Gengling – Two presentations will be held by ASI, “Leveraging Real-Time Arrival Forecasts to Improve Air Traffic Flow Management” and “Air Traffic Flow Capacity Analysis in Southeast Asia with Passenger-Centric Flow Optimisation”.
Safety & Cybersecurity in Autonomous Ships
iTrust Public Lecture by Victor Bolbot – As humanity strives to address modern challenges, novel technology is considered a potential solution.
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.
Kinetic- and Cyberwarfare: Twins, Siblings or Distant Relatives? or Why Bombs Speak Louder Than Electronic Bits?
iTrust Public Lecture by Marina Krotofil – The definition of hybrid war is frequently reduced to a composition of kinetic and cyber warfare to simplify the discussion.
Programming with Robots: A Hands-on Experience – by Assistant Professor Malika Meghjani, ISTD
Through this one-day workshop taught by ISTD faculty, Assistant Professor Malika Meghjani, participants were taught the fundamentals of simple programming using Ardunios to code a simple differential drive robot.
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 optimisation problems.
2023 ESD DBA Project Showcase
2023 ESD DBA Project Showcase
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