Roland Angst
Roland Angst is the Head of the ASUS Robotics and AI Center in Singapore and Senior Director of Articial Intelligence and Robotics at ASUS in Taipei. Since November 2015 he has served as a lead software architect for ASUS Zenbo, an Android-based robot for the home, and as lead advisor for cross-functional robotics, computer vision, and machine learning teams. With the guidance of his technical expertise, ASUS is creating an inspiring new line of products and services based on cutting-edge research and technologies. Prior to joining ASUS, as a Junior Group Leader of the Vision, Geometry, and Computational Perception Group, Roland was affiliated with the Center for Visual Computing and Communication at the Max Planck Institute for Informatics. From February 2013 to March 2015, he was visiting assistant professor with the Image, Video, and Multimedia Systems and the Geometric Computation groups at Stanford University. As an active member of the global computer vision community, Roland frequently contributes both as an author and reviewer to journals and prestigious international conferences, including ICCV, CVPR, ECCV, Siggraph, IJCV and PAMI. In 2012, Roland received his Ph.D in computer vision from ETH, the Swiss Federal Institute of Technology in Zürich. While working toward a doctorate, in 2010 he won a Google European Doctoral Fellowship in Computer Vision. In 2008, his master’s thesis has been awarded with an ETH medal and in 2007, he received his master's degree with distinction in computer science from ETH.
Robert Krutsch
Krutsch Robert is the Chief Architect of Zenuity, a joint venture between Veoneer and Volvo Cars, that focuses on delivering ADAS and AD solutions. He holds more than 20 patents and is the author of various articles and books targeting signal and image processing. He received his Dipl. from “Politehnica” University Timisoara and University Bremen and is passionate about machine learning applications in computer vision and natural language processing.
Peter Debacker
Peter Debacker (male) received the M.Sc. (Hons.) degree in electrical engineering from the Katholieke Universiteit Leuven, Leuven, Belgium, in 2004. He worked with Philips as a system engineer and at Essensium as a System Architect before joining IMEC, Leuven, in 2011. He is currently Program Manager in the Semiconductor Technology and Systems division. He leads a team that researches semiconductor technology, architecture and algorithms to create efficient AI hardware ranging from DNN accelerators, to in-memory compute and neuromorphic hardware. Besides AI specific hardware, he works on power-performance-area (PPA) optimization of scaled CMOS technologies (for 3nm and beyond), emerging memories and beyond CMOS technologies. In his past he has worked on IMEC’s low-power digital chip and processor architectures and implementation in advanced technology nodes. His current research interests include AI, machine learning and neuromorphic computing, computer architectures, design methodologies, design-technology co-optimization, reliability, variability and low power design.
Orr Danon
Orr Danon is co-founder and CEO of Hailo Technologies. Prior to starting Hailo, Orr spent a decade as a group leader in a leading technological unit of the Israeli Defense Forces, where he led some of the largest and most complex interdisciplinary projects in the Israeli intelligence community. For this work, Orr received the Israel Defense Award from the President of Israel and the Creative Thinking Award from the Head of Military Intelligence. Orr earned a B.Sc. and physics and mathematics from the Hebrew University as part of the ”Talpiot” program and an M.Sc. in electrical engineering (cum laude) from Tel Aviv University.
Omri Green
Omri has been leading sales and business activities globally in different companies focusing on utilities and different industry verticals.
Prior to joining Grove, Omri was leading APAC activities in Claroty (part of Team8 group) and was co-founder and Vice President of business development at ICS2 - a cyber security startup focusing on protecting power, oil, gas, and petrochemicals plants.
Omri has over a decade of experience as global sales and business executive in technology driven companies such as Dune Networks and Broadcom where he led innovative technology projects in power generation, communication and wireless technologies.
Omri was promoted to Investment Partner after a tenure as Grove’s Investment Principal and is now leveraging his engineering background and managerial experience to create value to Grove’s portfolio companies with their global business activities.
Olivier Temam
Oliver Wick
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.