About This Awards
Presenters
Alicja Kwasniewska, PhD
Software Architect and Data Scientist with PhD in AI, focused on image, text, voice, and other data analytics. Main interests cover biomedical applications of AI, computer vision and signal processing for resource-constrained devices. Author of 30+ whitepapers, presenter during International events and conferences.
Maciej Szankin
With over 30 peer-reviewed publications in high-impact journals and international conferences, I specialize in areas such as multi-objective optimization, generative AI, distributed machine learning, model compression and neural architecture search. I hold a MSc in Computer Science and I am currently a PhD candidate, focusing on efficient neural network architectures for real-time image and signal processing on resource-constrained devices and ML accelerators.
Mateusz Ruminski
Advertising technology product leader, former management consultant, driving outcomes using state-of-the-art innovations.
Subarna Tripathi
As a technologist and a manager, I lead visual algorithms research at Intel Labs. We are looking into research problems such as video analysis and generation; efficient long-form structured and multimodal learning without hitting the memory / compute bottleneck.
My additional responsibilities include overseeing Intel’s global AI academic investment portfolio. We do collaborate with like-minded researchers from academia and industry!
Tz-Ying (Gina) Wu
I am a research scientist at Intel Labs, working on Computer Vision and Deep Learning, especially on video and multi-modal contextual learning. I received my Ph.D. from University of California San Diego (UCSD), advised by Prof. Nuno Vasconcelos in the Statistical Visual Computing Lab. My research focused on long-tail recognition with realistic and evolving models, aiming to generate reliable predictions and adapt to continually changing distributions. Before coming to UCSD, I received my B.S. and M.S. from National Tsing Hua University (NTHU), where I worked with Prof. Min Sun on multi-modal video-sensor fusion in the Vision Science Lab. Please refer to my CV for more details.