Speakers

Martin Fink

Martin Fink

CTO of Western Digital

Martin Fink joined Western Digital as Executive Vice President and Chief Technology Officer in January 2017. In this role, Fink leads the company’s technology innovation agenda as Western Digital continues to transform its business and expand its capabilities and technology portfolio.Prior to joining Western Digital, Fink most recently served as Chief Technology Officer, Executive Vice President and Director of Hewlett Packard Labs atHewlett-Packard Enterprise Company, and served as CTO and EVP of HP, Inc, overseeing HP Labs, the company’s advanced research center. In his 30-year career at Hewlett-Packard Company and Hewlett-PackardEnterprise Company, Fink worked in a wide range of roles, including General Manager of HP Cloud and Senior Vice President and General Manager of Business Critical Systems and Converged Application Systems. He has been a board member of Hortonworks, Inc.since July 2014, and a board member of Wild Beer Co., since February 2016.Fink holds an associate’s degree in electrical and electronics engineering from Loyalist College and an M.B.A. from Colorado State University.

Keynote Title: Unleashing the Power of Data with RISC-V

Abstract: In November 2017, Martin Fink, CTO of Western Digital, keynoted at the RISC-V Summit in Milpitas, California. During his presentation, he noted that as Big Data applications emerge to enable autonomous driving, surveillance systems, and smart machines, they require special-purpose compute capabilities. These data-intensive workloads create opportunities for a new breed of purpose-built processors that will accelerate AI and machine learning both in the data center and at the edge of the network.
In addition, Fink will provide context about why RISC-V has the capabilities, foundation, ecosystem, and openness required for storage-centric architectures that support these applications. This presentation will discuss these trends and how Western Digital is embarking on its journey to use RISC-V to pave the pathways of data in emerging technologies like autonomous vehicles, IoT, AI, and surveillance. Specifically, Fink will highlight the progress Western Digital has made since November, delve into licensing, and highlight the open interface aspects that RISC-V presents.

Peter Mueller

Peter Mueller

IBM Zurich Research Laboratory

Peter Mueller joined IBM Research as a research staff member in 1988. His research expertise covers broad areas of computing systems architecture, microwave technology, device physics, nano science and modeling. His current field of research is in the areas of quantum technology and data center storage security. Peter is a founding member of the team on quantum computing at the IBM Zurich Research Laboratory. He also is a co-founder of the IEEE ComSoc Communications and Information Systems Security Technical Committee (CIS-TC) and the emerging sub-committee on Quantum Communications and Information Technology (QCIT). In the course of his carrier he authored and co-authored more than 100 papers, 2 books, granted 25 patents and served as guest editor for many special issue publications. He also served as a government counsel and as organizer for international conferences and workshops, such as the IEEE International Conference on Communications, IEEE Globecom, IEEE Symposium on Systems and Information Security, International Wireless Communications and Mobile Computing Conference, WirelessCom, or the Electro and Information Technology Conference. In 2017 Peter got awarded by the Hungarian Scientific Association for Infocommunications with the Puskas Tivadar Medal for his contributions in the field. His affiliations include active society membership in IEEE; the Society for Industrial and Applied Mathematics (SIAM); the Electrochemical Society (ECS); and the Swiss Physical Society (SPS).

Keynote Title: Scaling Quantum Computing towards User Applications

Abstract: The evolution of classical computing over the last 60 years is an exciting story. However, the newly upcoming quantum computing technologies are expected to significantly extend the capabilities of classical systems. Co-existing quantum-classical systems will allow us to solve some of today’s computational challenges. This talk will discuss the state of the art of superconducting qubit technology and how we apply it in IBM. Further, some of the recently recognized challenges at qubit level regarding system architecture and the overall eco-system will be outlined. We conclude by reporting the first developments towards user applications with potential advantage when running them on small sized quantum computing hardware.

Richard Vaughan

Richard Vaughan

Simon Fraser University, Canada

Richard Vaughan is a Professor of Computing Science at Simon Fraser University, where he directs the Autonomy Lab. His research interests include multi-robot systems, robot energy and resource management, human-robot interaction, robot software engineering, and behavioural ecology. He serves on the administrative committee of the IEEE Robotics and Automation Society, and the editorial board of the Autonomous Robots journal. He demonstrated the first robot control of animal behaviour, was co-lead of the Player/Stage Project, and showed the first un-instrumented HRI with UAVs. He was Program Chair of IROS 2017, Vancouver. Previously at HRL Laboratories, the University of Southern California, the University of Oxford, and the University of Sussex.

Keynote Title: Robust Interaction in Human-Robot Teams

Abstract: Sensing technology for robots has improved dramatically in the last few years, but we do not see robots around us yet. How should robots behave around people, animals and each other to get things done? My group works on behavioural strategies for mobile robots that exploit the new sensing capabilities, and allows them to perform sophisticated, robust interactions with the world and other agents. I’ll describe a series of vision-mediated Human-Robot Interactions with teams of driving and flying robots. In most cases the mechanisms we use are surprisingly simple, yet the results are very effective.