Prof. Yonina C. Eldar is renowned for her pioneering contributions to signal processing and sampling theory. She currently serves as a Professor in the Department of Mathematics and Computer Science at the Weizmann Institute of Science, where she holds the Dorothy and Patrick Gorman Professorial Chair and leads the Center for Biomedical Engineering.

Prof. Eldar's innovative research has significantly advanced sub-Nyquist sampling techniques, enabling more efficient data acquisition across various applications, including medical imaging and communications. Her work has garnered numerous accolades, such as the IEEE Signal Processing Society Technical Achievement Award and the IEEE Kiyo Tomiyasu Award, underscoring her impact on the field.

Beyond her research, Prof. Eldar is dedicated to education and mentorship, having authored several influential books and over 475 journal articles. She is a member of the Israel Academy of Sciences and Humanities and a Fellow of both IEEE and EURASIP, reflecting her esteemed standing in the scientific community.

Her leadership extends to various academic and professional committees, where she has played a pivotal role in shaping the future of signal processing and its applications. Prof. Eldar's commitment to advancing technology and fostering innovation continues to inspire researchers and practitioners worldwide

Nadav Cohen is an Assoc. Prof. of Computer Science at Tel Aviv University, and CTO, President & Co-Founder at Imubit. His academic research centers on the foundations of deep learning, while at Imubit he leads development of deep reinforcement learning systems controlling manufacturing plants. Nadav earned a BSc in electrical engineering and a BSc in mathematics (both summa cum laude) at the Technion. He obtained his PhD (summa cum laude) at the Hebrew University, and was a postdoc in Princeton. For his contributions, Nadav won a number of awards, including an ERC Grant and a Google Research Scholar Award.

Ayellet Tal is a professor and the Alfred and Marion Bär Chair in Engineering at the Technion's Department of Electrical and Computer Engineering. She holds a Ph.D. in Computer Science from Princeton University and a B.Sc degree (Summa cum Laude) in Mathematics and Computer Science from Tel Aviv University. Among Prof. Tal’s accomplishments are the Rechler Prize for Excellence in Research, the Henry Taub Prize for Academic Excellence, and the Milton and Lillian Edwards Academic Lectureship. Prof. Tal has chaired several conferences on computer graphics, shape modeling, and computer vision, including the upcoming ICCV.

Dean Leitersdorf grew up between Israel, Switzerland and Silicon Valley. Dean completed his PhD at the Technion at the age of 23, while serving in Unit 8200, and later completed his postdoc at NUS Singapore.

Dean won the ACM PODC Dissertation Award in 2023, for the best PhD in distributed computing worldwide. Additional awards include three best student paper awards at PODC, and the פרס ביטחון ישראל from the IDF.

Dean serves as CEO of Decart, an efficiency-focused AI research lab, which he founded in 2023 with his cofounder, Moshe Shalev. Decart burst out of stealth in October 2024 with its demo, Oasis- a real-time, generative AI video game world. Decart aims to become the leading consumer AI company by helping users transform their imagination into visual reality, blending interactive, generative AI experiences into everyday life.

Decart’s innovation lies in its groundbreaking AI platform, which reduces the cost of running and training AI models by ten times—a development that has put the company on the radar of global tech giants. Their platform delivers real-time generative capabilities that include creating fully playable AI-generated video game worlds. This marks a transformative step forward in AI infrastructure.