24 Oct 2019 - 25 Oct 2019 | Stuttgart, Germany
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24 Oct 2019 - 25 Oct 2019
Stuttgart, Germany
Embedded VISION Europe

Speakers

The second edition of the Embedded VISION Europe conference again offers top-noche speeches held by internationally well known specialists and drivers in the embedded technology field.

We are very proud to announce the already confirmed speakers as follows:

  

Keynote
David Austin
, Sr Principal Engineer at Intel Corporation

'Flexible and Practical AI for Industrial Deployment'

David Austin is a Sr Principal Engineer at Intel Corp working on AI based solutions for the industrial IoT market. His work focuses on deep learning architecture design, traditional computer vision. He has spent 19 years working in manufacturing related data science roles at Intel. David was the 1st place winner in the 2nd Annual YouTube-8M Video Understanding Challenge, and is currently ranked #11 in the world competition rankings out of 112k competitors on the Kaggle data science platform.


 

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.


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

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 Trevitt, Vice President Developer Ecosystems at NVIDIA

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

....


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..

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Jochem Herrmann, President of the EMVA

'Embedded Vision Standards'

Jochem Herrmann is Chief Scientist and co-founder of the Dutch camera manufacturer Adimec.
He is responsible for the future technologies on Adimec’s roadmap (2-5 years ahead). New technologies can be developed in house, but also in joint R&D projects with industrial partners and universities, often in European programs like FP7, CATRENE and Medea+.
In June 2013 he was elected into the EMVA Board in which his primary working field is planning, development and dissemination of standards for the Machine Vision industry.

 

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.

 

Dr. Vassilis Tsagaris, CEO at IRIDA Labs

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

VVassilis 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.

 * further speaker announcements to follow