The dedicated individuals of our SG11 team have worked in the security and technology domain for many years as consultants, developers and entrepreneurs. The management of SG11 consists of industry expert Gunther van Adrichem and two business builders; Wil Ruijsbroek and Michiel Poppink. Gunther van Adrichem used to manage the R&D security division of Schiphol Amsterdam Airport.
Gunther van Adrichem
To call Gunther a geek is an understatement. As a young guy he loved to work at with all the machines at his dad’s greenhouse, take them apart and put them together afterwards.
After graduating from the University of Applied Sciences he worked in the construction industry. He moved to Schiphol to start at the real estate department. After his first project for the security department, they insisted that he should stay. It opened the opportunity to combine his talents for constructing, project management and technology. His crown jewel project was the co-development and introduction of the Provision body scanner, which was deployed on a global scale.
Wil is passionate about turning innovations into profitable businesses. As a business coach, Wil worked for many years as an independent consultant helping entrepreneurs to grow their business. He was also connected to the knowledge centre Business Innovation of Rotterdam University of Applied Sciences developing programs about entrepreneurship and innovation. Following his ambition to grow his own business, based on technological innovation, he co-founded Stage Gate 11 with his business associates Gunther and Michiel in 2015.
Michiel started his career at Randstad Staffing Service. Michiel was fascinated how to differentiate his service from the competition which started his passion for innovation, sales and marketing. In 1999, he started a company and took a patented process to the market. In 2005, he worked for a governmental platform to stimulate innovation for Small Medium Enterprises (SME’s) with a focus on building bridges between big organisations/ multinationals and innovative companies. He was the co-founder of the European First Responder Innovation Managers (EFRIM) platform, improving the innovation capacities of first responders in Europe.
At Stage Gate 11 Michiel loves to work on the commercial and marketing side of the company.
Rob started his career in science with the University of Nijmegen, working on fundamental questions in spectroscopy. He completed a Ph.D. in Natural Sciences on the topic of infrared spectroscopy in 2004. Moving from there, he took a different career path, working with customers in a senior sales position with an internationally renowned distribution company for many years, consulting on high tech solutions. During this tenure, however, he has always remained in touch with his native field of expertise, spectroscopy.
Rob is driven by a motivation to apply his lengthy experience in using instrumentation and his native knowledge on spectroscopy to realize and perfect sensing solutions such as Delta R.
Thomas started working on the Delta R technology during his Internship at Point FWD, at the time it was little more than a conveyor with a prototype of the system built out of aluminium profiles. Working closely with Dr. Dubroca, who was a Post Doc in the research group of the technology, taught him a lot about the technology and through the expertise of Gunther he has learned a lot of the skills necessary in a development team. Today, he uses these skills combined with his knowledge of the aviation security market to add value in the development of the Delta R Shoe Scanner and other projects where his experience in research & development and spectroscopy are of added value.
Thomas has a strong drive to learn, is passionate about sports and practices a martial art.
Jim van Etten
With a background in the field of biomedical research and experiences with various innovative analytical x-ray spectroscopy techniques, the step to the research and development of safety and security systems is not a traditional one. The science geek inside him has allowed his interests in anything scientifically challenging and the lust for more knowledge, to expand his horizon to beyond the laboratory alone. While his strength lies mostly on the research in the laboratory, it will give Jim a great deal of satisfaction when research is turned into a real-life application.
Tackling interesting scientific questions but also maintaining the quality of the processes to a high standard, has become his motivation to keep improving.
Due to her background in Aviation Security technology domain, she likes to absorb knowledge on new security techniques and managing passenger flows. She has experience on small and major airports, both within and outside Europe. Blending into a different work- and business culture with language barriers is not problem for her as Mariska is able to adjust her pace at any time.
Mariska is passionate about travelling to learn about different cultures and try new cuisines. Not only keeping a list of places visited but also airports seen.
Mike has a long history within the physics department developing software for different technological applications and purposes. For years he has been working on software for detection of materials, for medical purposes as well as through X-ray analysis for illicit substances. Currently he is working on the software of our Delta R Shoe Scanner and future functionalities of the instrument.
Apart from his brilliant mind, Mike enjoys to climb mountains and has a fine taste for tea which he can tell you all about!
Kasper is the newest talent in the SG11 team and will do research on the classification algorithm used by the Delta R technology with a focus on interpretation.
Kasper is currently studying Data Science & Technology at Delft University of Technology. As a final step before graduation, a project of 9 months must be completed with either a company or the university. With an interest in Deep Learning and data visualisation, Kasper’s chose the topic of interpretation and explainability for complex Deep Learning algorithms. An interesting topic, as more and more data is captured nowadays were highly complex models can be learned on these datasets. However, explaining how algorithms take decisions is an interesting point, and can lead to deeper insight on the underlying wealth available from the data.