DSTI News

Articles

3 software design patterns that every software data engineer should know

Design patterns are essential tools for building cleaner, more scalable, and more maintainable software. In this article, DSTI highlights Ana Escobar’s summary of three key patterns every software and data engineer should know: Singleton, Factory, and Observer. Through practical examples and real-world analogies, the article introduces how these patterns help solve recurring challenges in software architecture, from shared resources to object creation and real-time notifications.

Read More »

Predicting Mental Health Risk Through Social Media

Awarded 1st place in the IEEE Big Data Cup 2025, Jannic Alexander Cutura’s research investigates how AI can be used to predict future mental health risk from social media activity. By combining the semantic power of large language models with temporal modelling, this work demonstrates how practical, state-of-the-art methods can contribute to socially impactful challenges—while keeping ethics and human oversight at the centre.

Read More »

Events

Bridging Borders: DSTI Strengthens Global Engineering Ties During India Tour

At DSTI School of Engineering, our mission has always been to bridge the gap between academic excellence and industry-driven innovation. This month, our CEO and Dean, Sébastien Corniglion, embarked on a high-impact tour across India to solidify international partnerships and create direct pathways for the next generation of data scientists and engineers.

Read More »