on the May 10, 2022
SCHEDULE AN APPOINTMENT
The "AI Talents Meeting Day" will gather PhD students and Post-Doc researchers in Data Science and AI, and DeepTech companies developing R&D activities in AI in different areas (Core tech, Health, Biology, Smart Territories), mostly based in our region.
The objective of this event is to connect students and post-docs to companies that are looking for talents in AI. The event will be organised around three sessions:
- A session where talents present their profile, skills, and technical domains of interest;
- A session where companies present their activities, their challenges in AI, and which profiles they are looking for;
- A one-on-one session for talents and companies to connect and discuss career opportunities.
Partners
We thank our partners Pôle SCS, Team Côte d'Azur, and Sophia Club Entreprise, for their support in communicating about the event to their respective network.
Program
| 09:30am | Welcome coffee / Session opening |
| 10:00am | AI Talents profile presentations |
| 11:15am | Companies' presentations |
| 12:30pm | Lunch break |
| 01:45pm | One-on-one meetings session |
| 04:00pm | End |
PhD Students and Post-doctoral Researchers
Vladimir Krajnak (Post-doctoral Researcher)
Research Project
Decoding the energy landscape: understanding and redesigning the emergent properties of a kinetic transition network
Research Axis
AI for Computational Biology and Bio-inspired AI
Affiliation
Inria
Thi Khuyen Le (Post-doctoral Researcher)
Research Project
Deep learning for the diagnosis of brain tumor recurrence based on 18F-DOPA PET images
Research Axis
AI for Integrative Computational Medicine
Affiliation
UCA
Boris Schminke (PhD Student)
Research Project
AI for finite algebraic structures
Research Axis
Core Elements of AI
Affiliation
CNRS, LJAD
Romain Tissot (PhD Student)
Research Project
Using IA and cable-driven parallel robots for the assistance to frail people and medical monitoring
Research Axis
AI for Integrative Computational Medicine
Affiliation
Inria, HEPHAISTOS
Athanasios Vasileiadis (PhD Student)
Research Project
Mean field approach to MARL (Multi Agent Reinforcement Learning)
Research Axis
Core Elements of AI
Affiliation
UCA, LJAD
Antonia Ettorre (PhD Student)
Research Project
Artificial Intelligence for Education and Training: Knowledge Representation and Reasoning for the Development of Intelligent Services in Pedagogical Web Environments
Research Axis
Core Elements of AI
Affiliation
UCA, i3S
Research Project
Representation of the environment in autonomous driving applications
Research Axis
AI for Smart and Secure Territories
Affiliation
Inria, ACENTAURI
Giulia Marchello (PhD Student)
Research Project
Statistical learning from dynamic bipartite networks with heterogeneous edges
Research Axis
Core Elements of AI
Affiliation
Inria, MAASAI
Abid Ali (PhD Student)
Research Project
Act4Autism: Activity Detection for Improving the Diagnosis of Autism
Research Axis
AI for autism diagnosis in young children
Affiliation
Inria, STARS
Yacine Khacef (PhD Student)
Research Project
Distributed dark fiber optic sensing for smart cities monitoring
Research Axis
AI for Smart and Secure Territories
Affiliation
UCA, Lagrange
Edouard Balzin (Post-doctoral Researcher)
Research Project
Interactions between Pure Mathematics and Artificial Intelligence
Research Axis
Core Elements of AI
Affiliation
CNRS, LJAD
Amirhossein Tavakoli (PhD Student)
Research Project
Hybrid combinatorial optimization and machine learning algorithms for energy-efficient water networks
Research Axis
AI for Smart and Secure Territories
Affiliation
MINES, CMA
Oualid Zari (PhD Student)
Research Project
Adversarial Learning and Differantial Privacy
Research Axis
AI for Smart and Secure Territories
Affiliation
EURECOM
Suhanya Jayaprakasam (Post-doctoral Researcher)
Research Project
Learning and coordination at the wireless edge in future Iot
Research Axis
AI for Smart and Secure Territories
Affiliation
EURECOM
Artem Muliukov (PhD Student)
Research project
Confrontation of self-organizing maps and neural networks A spikes for embodied calculus inspired by the brain
Research Axis
AI for Computational Biology and Bio-inspired AI
Affiliation
UCA, LEAT
Victoriya Kashtanova (PhD Student)
Research Project
Learning Cardiac 3D Electromechanical Dynamics with PDE-based Physiological Constraints for Data-Driven Personalized Predictions in Cardiology
Research Axis
AI for Integrative Computational Medicine
Affiliation
Inria, Epione
