Profile description

Dr. Eve M. Schooler is a Principal Engineer and Director of Emerging IoT Networks at Intel. Her current work focuses on evolving the Internet toward a Sustainable edge-cloud infrastructure. A recognized expert in Networking and Distributed Systems, she has served in leadership positions in various standards bodies including the IETF and NIST. She has authored over 60 publications and is an inventor on 30+ granted or pending patents. She holds a BS from Yale, MS from UCLA, and PhD from Caltech, all in Computer Science. She is a member of the board of the Computing Research Associates. She is an IEEE Fellow and the co-recipient of the 2020 IEEE Internet Award for her work on control protocols for Internet telephony and multimedia teleconferencing.






Can you tell us why you joined the SPATIAL Advisory Board?

Because of my ongoing interest in scalable collaborative systems research, my work has touched upon security, privacy, and trust issues throughout my career. SPATIAL is intriguing to me because it shines a light on the inherent challenges in distributed contexts to support these capabilities. The SPATIAL goal to understand how AI can best be applied to cybersecurity solutions is of utmost importance in an increasingly connected world (and some might argue excessively). I strongly support SPATIAL’s focus on imbuing and ensuring AI is not only resilient and efficient – which I view as typical computing resource requirements – but also by holding AI to be accountable, transparent,  responsible, and explainable, it will lead ultimately to more ethical and trustworthy computing systems that we can apply to society’s most important and urgent challenges.

What are your expectations for a project like SPATIAL?

Although I am impressed with the ambitiousness of the SPATIAL project goals, I am even more impressed by the fact that SPATIAL has undertaken to role model and to influence the kind of private-public partnership needed to deliver AI-based cybersecurity and privacy-preserving infrastructure effectively.


What is the biggest challenge you see for SPATIAL?

One of SPATIAL’s biggest challenges is also its greatest strength. There are many collaborators involved, with diverse opinions, approaches and perspectives. That diversity may prove challenging when trying to ensure that the sum of its parts comes together effectively, seamlessly, and transferable. That said, the algorithms, system architectures, methodologies, and solutions put forth by the SPATIAL community are likely to be more robust and resilient due to the diversity of thought and debate that will underpin their design.


Coming from one of the major technology companies in the world, as it is Intel, how do you see the interest of major corporations in projects like SPATIAL?

International companies like Intel view the EU’s Horizon 2020 initiative as offering a time-tested model for successfully partnering across government, academia,  and industry. SPATIAL has identified critical research gaps and offered their exploration via cutting-edge use cases and proof of concepts, a strategy that grounds the work in real-world problems. This approach allows companies on the one hand to benefit from early research insights and solutions, and on the other to offer a pragmatic path forward to vet theoretic work and to take steps toward scale up, aspects that can be more elusive in academic circles.