Michaela Blott
Michaela Blott is a Distinguished Engineer at Xilinx Research in Dublin, Ireland, where she heads a team of international scientists driving exciting research to define new application domains for Xilinx devices, such as machine learning, in both embedded and hyperscale deployments. She earned her Master’s degree from the University of Kaiserslautern in Germany and has over 25 years of experience in leading edge computer architecture and advanced FPGA and board design, in research institutions (ETH Zurich and Bell Labs) and development organizations. She is heavily involved with the international research community serving as the technical co-chair of FPL’2018, workshop organizer (H2RC), industry advisor on numerous EU projects, member of numerous technical program committees (FPL, ISFPGA, DATE, etc.) and winner of the WMB award in 2015 and finalist of VentureBeat Women in AI’2019, and Women in Technology‘2019 awards.
Matt Mattina
Matthew Mattina is head of Arm’s Machine Learning Research Lab, where he leads a team of world-class ML researchers. The lab is focused on developing hardware, ML models, and optimization techniques to deliver energy efficient ML execution on Arm devices, from server to mobile to IoT. Prior to Arm, Matt was CTO at multicore chip company Tilera, and a processor architect at Intel and DEC. Matt has been granted over 40 patents relating to processor design, neural networks, and on-chip interconnects. Matt holds an MS in Electrical Engineering from Princeton University, and a BS in Computer and Systems Engineering from Rensselaer Polytechnic Institute.
Luca Benini
Luca Benini holds the chair of digital Circuits and systems at ETHZ and is Full Professor at the Universita di Bologna. He received a PhD from Stanford University. He has been visiting professor at Stanford University, IMEC, EPFL. In 2009-2012 he served as chief architect in STmicroelectronics France. Dr. Benini's research interests are in energy-efficient computing systems design, from embedded to high-performance. He is also active in the design ultra-low power VLSI Circuits and smart sensing micro-systems. He has published more than 900 peer-reviewed papers and five books. He is an ERC-advanced grant winner, a Fellow of the IEEE, of the ACM and a member of the Academia Europaea. He is the recipient of the 2016 IEEE CAS Mac Van Valkenburg award.
Florian Netter
Eric Flamand
Eric got his PhD in Computer Science from INPG, France, in 1982. For the first part of his career he worked as a researcher with CNET and CNRS in France, on architectural automatic synthesis, design and architecture, compiler infrastructure for highly constrained heterogeneous small parallel processors. Eric then held different technical management in the semiconductor industry, first with Motorola where he was involved into the architecture definition and tooling of the StarCore DSP. Then with ST microelectronics, first, Eric was in charge of all the software development of the Nomadik Application Processor and then in charge of the P2012 corporate initiative aiming at the development of a many core device. He is now co-founder and CTO of Greenwaves Technologies a French based startup developing an IOT processor derived from Pulp. He is also acting as a part time research consultant for ETH-Z.
Cyra Richardson
Cyra Richardson is the General Manager for Microsoft’s cross company initiative on Robotics – including both IoT and AI. Since 1990, she has played a role in many of Microsoft’s technology transformations. As an engineer Richardson helped to develop Windows 3.0 and Windows CE, as well as created developer tools for Windows CE and bringing Visual Basic to market. Richardson also launch and build several key Microsoft projects including Windows Imaging, thin versions of Windows Server, Azure Intelligent System Service and Windows 10 IoT. She has also built and operated Microsoft developer programs including Platinum Hosting and the IoT & AI Insider Program.
Albert Cohen
Albert Cohen is a research scientist at Google. He has been a research scientist at Inria from 2000 to 2018. He graduated from École Normale Supérieure de Lyon and received his PhD from the University of Versailles in 1999. He has been a visiting scholar at the University of Illinois, an invited professor at Philips and NXP Research, and a visiting scientist at Facebook Artificial Intelligence Research. Albert Cohen works on parallelizing and optimizing compilers, parallel programming and synchronous languages, with applications to high-performance computing, machine learning and reactive control systems. Several research projects led by Albert Cohen led to effective transfer to production compilers and programming environments.