Matej Vengust

CEO at Nervtech

Matej Vengust has a diverse work experience spanning several companies and roles. Matej started their career at Obsession d.o.o. in 2001, where they worked in sales until 2011. During this time, they also served as the Shop Manager and later as the Assistant Director. In 2012, Matej joined D.Labs as a Project Manager, where they stayed until 2013. In the same year, they joined Koofr as a Marketing Strategist and Customer Discovery specialist. Also in 2013, Matej became the CEO of Nervtech, a position they still hold.

Matej Vengust has a Bachelor's degree of Business IT from the University of Ljubljana, Faculty of Economics in Ljubljana, Slovenia. Matej pursued this degree from 2003 to 2009. Prior to that, from 1996 to 2000, Matej graduated from the Electrotechnical and Computer Science High School in Ljubljana, Slovenia, with a focus on Electronics and computer science.

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Nervtech

Nervtech is a high-tech R&D company specializing in vehicle simulator technologies in the fields of biometric and cognitive driver evaluation, machine learning and data integration. Nervtech’s patented 4DOF-motion compact driving simulator offers a real-life driving experience for simulator analytics and driver evaluation and training. Thesimulation can run on a configuration with three big external screens or with VR headset (Oculus Rift or HTC Vive). It can be easily transported to any location and set-up in a very short time. The simulation platform includes a variety of driving environments, from country side roads, snowy mountains, different highways and complex city centres. Unusual and dangerous behaviour can also be created providing critical and highly demanding driving situations and events. The platform provides also a set of ADAS elements (lane assist, emergency braking, adaptive cruise control, etc.) or fully autonomous driving.The cockpit of the driven vehicle is displayed on the screens and can be changed/modified freely to add new dashboard or IVIS elements (head-up display, dashboard display, different types of lights and indicators). External HW components can also be integrated into the system providing new types of input modalities. The platform includes also a set of physiological and biometrical medical grade sensors for measuring driver’s signals such as HR, GSR, body temperature, pupil diameter, gaze position, etc. Proprietary algorithms for detection of distraction, stress or cognitive workload are also provided.Nervtech’s main R&D goal is to develop techniques and procedures for the transfer of knowledge from human driver to self-driving machine. Consequentially autonomous vehicles will be able more efficiently handle complex and unpredictable driving situations by taking into account also human cognition and intuition-based decision-making.


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11-50

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