Dr. Bartłomiej Twardowski is a research team leader at the IDEAS NCBR research institute and a researcher at the Computer Vision Center, Universitat Autònoma de Barcelona. He earned his Ph.D. in 2018, specializing in recommender systems and neural networks. Following his doctoral studies, he spent 1.5 years as an assistant professor in the AI group at Warsaw University of Technology before embarking on a post-doctoral program at the Computer Vision Center, UAB. With over 12 years of industry experience, including international giants like Zalando, Adform, Huawei, and Naspers Group (Allegro), Bartłomiej has also collaborated with startups on research projects, such as Sotrender and Scattered.
His research portfolio encompasses a range of projects, from €40k to €1.4M, and he’s a Ramón y Cajal fellow. He boasts a prolific publication history in esteemed conferences like CVPR (2020, 2 papers), NeurIPS (2020), ICCV (2021, 2023), ICLR (2023), and ECIR (2021, 2023). Bartłomiej is also an active reviewer for renowned AI/ML conferences, including AAAI, CVPR, ECCV, ICCV, ICML, and NeurIPS. Currently, his research is centered on lifelong machine learning in computer vision, efficient neural network training, transferability and domain adaptation, alongside information retrieval and recommender systems.
Dr. Kamil Adamczewski works as a postdoc at IDEAS NCBR, where he supervises doctoral students from two teams: continuous machine learning and sustainable computer vision for autonomous machines. His interests focus on computer vision and efficient and interpretable artificial intelligence. He obtained his PhD at ETH Zurich and the Max Planck Institute for Intelligent Systems in Tubingen. He has a Master’s degree in Computer Science from the University of Oxford and in Computer Engineering from the National University in Seoul. He also earned a Bachelor’s degree in Mathematics (Number Theory) from Dartmouth College in the USA.
He worked as a research engineer at Samsung Electronics in Seoul, South Korea, and at Amazon in Germany, as well as a consultant in the field of reinforcement learning and natural language processing for startups in the education, computer graphics, and cryptocurrency industries.
ELLIS is a pan-European AI network of excellence. It builds upon machine learning as the driver for modern AI and aims to secure lasting international leadership of AI made in Europe by connecting top researchers in this field and by creating a multi-centric AI research laboratory. Founded in 2018, ELLIS has grown into a network that counts 41 ELLIS units at world-class institutions in 16 countries, 16 ELLIS programs and a pan-European PhD program. The members of ELLIS are committed to shaping the future of AI in Europe by pushing the scientific and technological boundaries for human-centered, beneficial and safe AI. Read more