🌟 Seminar Series 2025
Description:
- Seminars hosted by ContinualAI bring together researchers and enthusiasts to discuss cutting-edge topics in Continual Learning. Each session lasts 60 minutes, with 40 minutes of presentations, delivered by the authors of recent groundbreaking research.
- 📅 Join us first Thursday of the month at 6 PM CET / 9 AM PT / 12 PM ET for insights into the latest developments in Continual Learning.
📢 Upcoming Seminar
Task-Agnostic Continual Learning for the Open World
📅 Date & Time
- Thursday, February 6th
- 6 PM CET / 9 AM PT / 12 PM ET
🎤 Speakers
Gusseppe Bravo-Rocca
AI Engineer & PhD Candidate in AI, UPC BarcelonaTech
LinkGusseppe specializes in cognitive architectures and continual learning. He develops monitoring agents at the Barcelona Supercomputing Center and collaborates with organizations like Lenovo and the Emory Global Diabetes Research Center. His open-source contributions include advanced continual learning algorithms and custom agent architectures that address critical machine learning challenges such as distribution drift, feature attribution shifts, and model degradation. Giuseppe’s research has been published in top-tier venues and honored with awards like the Intel-Lenovo AI Innovators Award.
Megan Baker
Senior Data Scientist, Johns Hopkins University Applied Physics Laboratory
LinkMegan is a Senior Data Scientist at the Johns Hopkins University Applied Physics Laboratory, holding a B.S. in Bioinformatics, an M.S. in Applied and Computational Mathematics, and an upcoming M.S. in Computer Science. As the Supervisor of the AI Development Section, she leads initiatives to advance AI capabilities, tackling complex, multidisciplinary challenges across domains such as biological signal processing, remote sensing, and lifelong learning systems. Megan is dedicated to leveraging cutting-edge AI to push the boundaries of what’s possible in diverse technical fields.
🌟 Join the Seminar
🎥 Previous Seminars
Explore highlights from recent seminars to gain valuable insights into Continual Learning.
1. ContinualAI April 2023 Seminar/Meetup
- Topic: “Continual Learning in Language Models”
- Speakers: Joel Jang (KAIST), Yujia Qin & Jiajie Zhang (Tsinghua University), Zixuan Ke (University of Illinois, Chicago)
2. ContinualAI March 2023 Seminar/Meetup
Topic: “Bridging the Gap: Evaluating and Applying Continual Learning”
- Speakers: Matthias De Lange (KU Leuven), Camila González (Technical University of Darmstadt), Soroor Hediyeh-zadeh (Computational Health Center, Helmholtz Munich)
🌐 For a comprehensive view of all our seminars, visit:
Stay connected with the ContinualAI community for updates on future events and discussions!
