Diego Elias Costa : Software Engineering for AI Systems: Challenges and Research Opportunities

Le lien vers l’enregistrement se trouve ici (durée : 1 heure et 2 minutes).

Heure et date : le 7 février à 12h30
Lieu : PK-4610 et Zoom
Conférencier : Diego Elias Costa
Titre : Software Engineering for AI Systems: Challenges and Research Opportunities

Abstract: The field of Artificial Intelligence (AI) has seen significant demand and growth due to the recent explosion in datasets and breakthroughs in Machine Learning and (more recently) Generative Artificial Intelligence. Many organizations are leveraging the benefits of AI in real-world applications across numerous domains such as healthcare, finance, retail, security, and education. While AI-based systems are ultimately software systems, current Software Engineering (SE) practice is still coming to terms with the intricacies (both technical and social) of building AI-based software systems. 

In this talk, I will present an overview of the challenges that AI Systems pose to the traditional way of developing software. From requirements engineering to continuous deployment, the development of modern software systems offers a lot of new challenges for the industry. Which, in turn, can lead to significant opportunities for research breakthroughs.  

Biographie : Diego Elias Costa is an Assistant Professor in the CSSE department of Concordia University. Before that, he was an Assistant Professor in the Computer Science department at UQAM, Canada. He received his Ph.D. in Computer Science from Heidelberg University, Germany. His research interests cover a wide range of software engineering topics, including SE4AI, dependency management, performance testing, and software engineering bots. His work has been published in journals, such as IEEE TSE, EMSE, and TOSEM and at premier venues, such as ICSE, FSE, and ASE. You can find more about him at https://diegoeliascosta.github.io/.