Professeur Giulio Antoniol : Software Engineering for Machine Learning Applications: The road ahead

mercredi 20 février 2019 - Séminaires

Bonjour à tous,

Nous avons le plaisir de vous inviter à un séminaire spécial du LATECE avec un invité de polytechnique Montréal.

Qui? Giulio Antoniol, professeur à polytechnique Montréal

Quand? mercredi 20 février 2019 à 12h30

Où? PK-5115

Titre: Software Engineering for Machine Learning Applications: The road ahead


The First Symposium on Software Engineering for Machine Learning Applications (SEMLA) aimed to create a space in which machine learning (ML) and software engineering (SE) experts could come together to discuss challenges, new insights, and practical ideas regarding the engineering of ML and AI-based systems. Key challenges discussed included the accuracy of systems built using ML and AI models, the testing of those systems, industrial applications of AI, and the rift between the ML and SE communities.

This talk does a step back: it discusses past contributions and presents future challenges. While AI is becoming more and more pervasive there is an urgent need to define new sound way to ascertain critical software qualities such as reliability of safety. Whenever a software system include machine learning or AI components, the software is only a tiny part of the system while data play a much bigger role. This require a shift in the traditional V&V paradigm.


Giuliano Antoniol  (Giulio) worked  in companies,  research institutions  and universities such  as  the  Fondazione Bruno  Kessler  (FBK,  forerly  IRST),
Trento (Italy)  and  the University of Sannio, Italy. In 2005 he  joined the Polytechnique
Montreal and was awarded the Canada Research Chair Tier I in Software Change and Evolution.
He is a member  of the editorial boards of the Journal of  Software Testing Verification & Reliability, the Journal of Software Maintenance  and Evolution:
Research and Practice and the Software  Quality Journal.  He served  also as member  of the editorial board  of the Empirical software  engineering journal, the  information and software technology journal and IEEE software.
He  served  as   program  chair,  industrial  chair,  tutorial,  and general  chair of international conferences and  workshops.  Dr Giuliano Antoniol served
as  Deputy Chair of the  Steering Committee  for the  IEEE International  Conference on Software Maintenance, International Symposium on Search-Based Software  Engineering na the is presently steering committee member of the International Workshop on Search-Based Software Testing.

Dr  Giuliano  Antoniol published  more  than  100  papers in  journals  and international conferences.  He recently  contributed to start and run the Software Engineering for Machine Learning Applications (SEMLA) and the International Workshop on Machine Learning Systems Engineering (iMLSE).

He is currently Full  Professor at the Polytechnique Montreal, where he  works in the area of software evolution, empirical software engineering, software
traceability, search based software engineering and software testing.