Events

Are you ready to bridge the gap between real-world industry challenges and your innovative ideas? Join us for our Ideation Workshop Series, where we connect industry problem statements with students’ ideation processes.

In each session, we dive into one specific problem statement sourced directly from our industry partners. Through interactive workshops, you’ll explore various ideation tools and techniques aimed at developing innovative solutions for these real-world challenges.

Throughout the workshop, you’ll have the opportunity to experiment with different ideation methodologies, gaining hands-on experience in creative problem-solving. Whether you’re a seasoned entrepreneur or just starting your journey, these workshops provide a supportive environment for honing your ideation skills.

But the learning doesn’t stop there. At the end of each session, you’ll have the unique opportunity to hear directly from our industry partners. They’ll provide valuable insights and feedback on how your proposed solutions could potentially address their problem statements, offering invaluable real-world perspective.

Don’t miss out on this chance to turn your ideas into impactful solutions and make a difference in the world. Join us for our Ideation Workshop Series and be part of the innovation revolution!

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.

In ARISE: Validate, teams will go out to the field and confirm if there is an actual need for their solution and discover other important requirements of their target market, to better shape the development roadmap of their solution.

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

SUTD participated in Echelon X, a tech business conference held at Singapore Expo from May 15 to 16, 2024. The event brought together startups, investors, corporates, SMEs, and government institutions, providing a platform for networking and knowledge sharing within the tech ecosystem.

Hanwei Li (City University of Hong Kong) – Data-Driven Real-time Coupon Allocation in Online Platform

In ARISE: Validate, teams will go out to the field and confirm if there is an actual need for their solution and discover other important requirements of their target market, to better shape the development roadmap of their solution.

SUTD Design Innovation Forum – Design Alliance Summit

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