IEEE France Day - IEEE Université Paris‑Saclay

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IEEE France Day: IEEE Université Paris‑Saclay STB 64264 in Collaboration with the IEEE University of Lille STB02881 is a two‑day, high‑energy in‑person event that brings together IEEE Student Members, Young Professionals, and Women in Engineering volunteers from Paris‑Saclay and across the IEEE France Section. 🚀 The program blends inspiring keynotes, interactive sessions, and networking moments to showcase IEEE activities in France, spark collaborations between student branches, and celebrate innovation, diversity, and leadership in engineering.

🌟 Key highlights:

  • 👩‍🔬 Women in Engineering: mentoring for women students, a dedicated WIE session on inclusion and career journeys, plus the presentation of upcoming programs such as Coffee Talks, mentorship schemes, and STEM outreach for high‑school girls.

  • 👨‍💼 Young Professionals: a YP round table on the student‑to‑YP transition, career development, and leadership, along with informal networking moments connecting students, YP members, and industry guests.

  • 🤖 Hands‑on & outreach sessions: robotics and engineering discovery activities, lab visits, and interactive demos that let participants explore AI, hardware, and applied engineering projects in a collaborative environment.

Throughout IEEE France Day: IEEE Paris‑Saclay, participants will grow their professional network, discover the value of IEEE WIE and YP, and leave with concrete ideas for future joint events and outreach activities within the Paris‑Saclay ecosystem and the IEEE France Section. If you are motivated to learn, connect, and contribute to a more inclusive and innovative engineering community, register now: 

 




  Date and Time

  Location

  Hosts

  Registration



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  • CentraleSupélec, 3 Rue Joliot Curie, 91190 Gif-sur-Yvette
  • Gif sur Yvette , Ile-de-France
  • France

  • Contact Event Hosts


  Speakers

Fei

Topic:

Understanding the IEEE Journal Peer-Review Process

Biography:

Linkedin : https://www.linkedin.com/in/fei-gao

Email:

Address:France

Mohamed

Topic:

From Physics-Guided AI to Foundation Models: Redefining Condition Monitoring and Prognosis in Power and Energy

Biography:

LinkedIn : https://www.linkedin.com/in/mohamed-benbouzid

Email:

Address:France