Professeur associé en Machine learning et Deep learning | Data scientist à JEMS Group
Domaine(s) d'expertise
Machine & Deep Learning, Artificial Intelligence

Amel Mhamdi is a doctor in artificial intelligence and Data Scientist with more than four years of experience in finance and the Media. Eternal optimist and curious by nature.

She like to share and learn new jobs and tools related to Cloud, Data and AI.

She combines professional experience and academic training to offer step-by-step professional coaching in the artificial intelligence space.

To sum up, she’s absolutely and totally passionate about AI and can't wait to share her passion and knowledge with you !

2012 - 2016FSEG TunisieDoctorat en intelligence artificielle
2009 - 2011FSM TunisieMaster en informatique
2004 - 2008ISIMM TunisieMaitrise en informatique
2020 - TodayAssociate Professor, Machine & Deep Learning - aivancity
2019 - 2020Tech lead machine learning, Deep Learning - France Télévision Via Wewyse
2018 - 2019Machine learning scientist via Wemanity - Edenred France Malakoff
2018 - 2020ChatBot via Wemanity - BNP Personal Finance, DigitalLab
2016 - 2018Machine learning via Wemanity - Natixis Paris
  • Towards an IDM Approach of Transforming Web Services into ACME Providing Quality of Service. Seventh International Conference on Semantics Knowledge and Grid (SKG 2011), Beijing, China, October 24-26, 2011.
  • Towards a transformation of composite web service with QoS extension into ACME\Armani. IIWAS'2011 - The 13th International Conference on Information Integration and Web-based Applications and Services, Ho Chi Minh City, Vietnam, 5-7 December 2011.
  • A constraint programming approach to the Zahn’s decision problem . In the Proceeding of the 11 International Symposium on Distributed Computing and Artificial Intelligence. (DCAI 2014), Salamanca, Spain, juin 2014.
  • A constraint programming approach to the cluster deletion problem. Proceeding of The 13th Scandinavian Conference on Artificial Intelligence Halmstad, Sweden, November 5-6, 2015.
  • La classification des genes basée sur les CSP pondérés. Les onzieme Journèes Francophones de Programmation par contraintes, (JFPC 2016).
  • LDS vs FPT method for cluster deletion International conference of artificial intelligence tools. 28th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2016, San Jose, CA, USA, November 6-8, 2016.
  • A constraint programming approach to the cluster editing problem. International Journal of Imaging and Robotics (ISSN 2231–525X), Aout 2015.
  • Automatic speech recognition for French regional accents in field of French media. « International Conference on Automation and Artificial Intelligence » in London, UK, May 21-22, 2020.