Speakers

Keynote
David Austin, Sr Principal Engineer at Intel Corporation

'Flexible and Practical AI for Industrial Deployment'

Andrea Dunbar, Head of Embedded Vision Systems at CSEM

'Autonomous data-logger with ULP imager'

Andrea Dunbar joined CSEM in 2006 and is today head of CSEM's Embedded Vision Systems department, which focuses on highly-constrained embedded vision systems. Her research interests include optics and hyperspectral imaging as well as machine learning and embedded systems. She has a PhD from EPFL Lausanne, Switzerland.

Bram Senave, Business Development Manager at Easics

'Embedded deep learning in PCB inspection'

Bram Senave began his career at On Semiconductor as a product engineer. He subsequently held various account and sales management positions at Alcom & Actility. Where he was driving sales of semiconductors, embedded computing and IoT connectivity solutions. In 2018 he joined easics, a System-on-Chip design services company targeting both ASICs and FPGA, as business Development Manager. His prime focus is to help easics’ customers and partners to integrate the right technology in their embedded systems. An example is the recent developed easics’ IP for Deep learning (AI). Mr. Senave holds a Master degree in Electrical Engineering from the University of Ghent.

Jagan Ayyaswami, Sr. Director of Mobile Architecture and Systems at Micron Technology

'Processor Architectures for Machine Learning'

Jagan Ayyaswami has over 23 years of experience in the semiconductor industry. He is currently the Sr. Director of Mobile Architecture and Systems in Micron Technology Inc. In this role he is responsible for defining the next generation Memory and Storage architectures for Micron’s Mobile Business Unit.
Prior to Micron he worked in Qualcomm Corporation for 12 years in various Engineering Management roles. He was most recently Director, Engineering responsible for defining Qualcomm’s CPU roadmap for their flagship SnapDragon series of chips. He was previously managing Qualcomm’s CPU, GPU and Video HW development for their high, mid and low tier chips.
Prior to Qualcomm he held engineering management positions in Texas Instruments, Infineon Technologies and LSI Logic. He holds a MS degree in Computer Engineering from Iowa State University in the US and a Bachelor of Engineering degree from the University of Madras, India.

Jonathan Hou, Chief Technology Officer at Pleora

'Embedded Learning and the Evolution of Machine Vision'

Jonathan Hou is Chief Technical Officer with Pleora Technologies, a lead supplier of video interface solutions for the industrial automation, security and defense, and medical imaging markets. In this role Jonathan oversees Pleora’s research & development efforts and leads the company’s long-term technology vision. Before joining Pleora, Jonathan was Director of Technology with Global Vision, where he helped develop new automated quality inspection solutions for print inspection applications. Previously, he held software development & engineering management, applications engineering, and software development roles in the machine vision and networking industries. He has a Bachelor of Applied Sciences - Computer Engineering from the University of Waterloo in Waterloo, Canada, and a Master of Engineering from McGill University in Montreal, Canada

Konstantin Schauwecker, Chief Executive Officer at Nerian Vision

'SceneScan: fast 3D sensing through FPGA-based image processing'

Dr Schauwecker is the founder of Nerian Vision GmbH, a developer of real-time stereo camera systems. Before he established Nerian, Dr Schauwecker was involved in Daimler's autonomous vehicle development, and the development of Bosch's driver assistance cameras. He completed his PhD at the University of Tübingen, where he developed autonomous flying robots that relied on stereo vision as their primary sensing technology.

Michael Engel, President at Vision Components

'MIPI Cameras: New Standard for Embedded Vision'

Michael Engel is a physicist who has been working in the field of image processing since 1982. After finishing his degree, he first worked as a research associate at Karlsruhe University's Institute for Process Control and Robotics. He went on to found the company Engel & Stiefvater with Hans Stiefvater in 1984, which quickly became one of Germany's pioneers in industrial image processing before being sold in 1992. At the VISION 1995 trade show, Michael Engel presented a fully functional VC11 prototype – the first intelligent camera - or embedded vision system in today's words - for industrial applications, which he had developed from scratch all on his own. Soon after, early in 1996, Vision Components was founded. Since then, the company has focused on developing hardware and specialized in finding the best solution for their customers. Michael Engel, a true pioneer in Machine Vision & Imaging, is still enthusiastic and passionate about pushing the development of the technology further and setting new limits to what is feasible.

Neil Trevett, Vice President Developer Ecosystems at NVIDIA

'APIs for Accelerating Vision and Inferencing: an Industry Overview of Options and Trade-offs'

At NVIDIA Neil works to enable applications to leverage advanced silicon acceleration. Neil is also the elected President of the Khronos Group industry consortium where he has helped initiate and evolve royalty-free open standards such as OpenCL, OpenVX, NNEF, OpenXR, Vulkan, OpenGL ES, WebGL and glTF – many of which are widely deployed in the graphics and embedded vision industries.

Gion-Pitschen Gross, Product Manager at Allied Vision

'How to set up an embedded system for industrial embedded vision - Requirements, components, and solutions'

Gion-Pitschen Gross is a product manager by heart and an engineer by trade. He received his MSc in Electrical Engineering from the Swiss Institute of Technology in Zürich. After some time in Research and Development at OC Oerlikon, a Swiss technology conglomerate, he became product manager. Gion-Pitschen Gross has been working for Allied Vision since 2016 and has been responsible for a wide range of products from short-wave infrared cameras to a portfolio of GigE cameras. Since last year he is responsible for the new Alvium Camera Series which bridges the gap between machine and embedded vision..

Pierre Gutierrez, Lead machine learning researcher at Scortex

'The challenges of deploying Deep Learning for visual quality inspection'

Pierre Gutierrez started his career in research in machine learning applied to genetics at the Institut Stat & Génome. He then went to be a data scientist at the French start up Dataiku. There, he had the opportunity to work on a large variety of data science and machine learning problems such as recommendation engine, fraud detection or geospatial analysis. He is now in charge of the machine learning research at Scortex where he is trying to push the boundaries of what can be done with deep learning with less data and computation.

Rastislav Struharik, Chief Architect AI at IDS

'Universal CNN Accelerator intended for edge-base AI inference'

Rastislav Struharik is an associate professor at the Department of Power, Electronics and Telecommunications, Faculty of Technical Sciences, University of Novi Sad, Serbia. He received his PhD in Electronics in 2009, in the area of hardware acceleration of machine learning algorithms. During his academic career he has published more than 35 papers in international journals and conferences, mainly focusing on the hardware acceleration of machine learning algorithms, such as Decision Trees, Support Vector Machines, Artificial Neural Networks, Convolutional Neural Networks, and Ensemble Classifiers, targeting both learning and inference algorithms.
For the past three years he has also been working as the chief architect for the IDS own FPGA IP core technology for for hardware acceleration of Convolutional Neural Networks, intended for edge AI applications.

Takashi Someda, CTO at Hacarus

'Using Sparse Modeling in Visual Inspection to Solve Issues Deep Learning Can't'

Takashi Someda leads Hacarus engineering and product development from its Kyoto headquarters, spearheading the roll-out of Sparse Modeling-based AI tools. Takashi holds a Master's Degree in Informatics from the prestigious Kyoto University and manages the company's academic advisory board including Professors from Kyoto, Shiga and Tohoku University. With over 15 years of experience in the software industry, Takashi has served in several leadership positions prior to joining Hacarus in 2016, serving as a software developer, technical evangelist and growth hacker. Today, he leads Hacarus technology development with a strong passion toward building creative, self-organized teams that are able to solve issues as they appear. Takashi is a frequent and appreciated guest speaker at conferences on topics such as Machine Learning, Artificial Intelligence, and edge devices.

Dr. Vassilis Tsagaris, CEO at IRIDA Labs

'An holistic embedded vision approach: looking beyond the deep learning models'

Vassilis Tsagaris founded Irida Labs in 2009 with the aim to bridge the gap between a camera and a human eye by bringing visual perception to any device, making embedded computer vision accessible to everyone. Today, as CEO of Irida Labs he is responsible for corporate strategy, business partnerships and business development worldwide. Irida Labs is partnered with large international companies like Qualcomm, Cadence and CEVA (all NASDAQ listed) and has a client basis in Europe, China and USA. Prior founding IRIDA Labs, he has worked as a researcher, post-doc researcher or project manager for about ten European and National R&D projects for the academic and company sector. He has BSc. In Physics and a PhD in Computer Vision and Data Fusion from the University of Patras, Greece, and has published more than 30 journal and conference papers.