VisionTrack
Babak Roshan has extensive experience in the field of computer vision. BABAK is currently working at VisionTrack as a Lead Computer Vision Engineer, where they are responsible for developing advanced computer vision algorithms. Prior to this role, they worked as a Computer Vision Engineer at the same company.
From 2016 to 2021, Babak worked at Continental as a Computer Vision Algorithm Engineer. Their role involved developing algorithms for computer vision applications in the automotive industry.
Before joining Continental, Babak served as a Graduate Teaching and Research Assistant at Universitat Pompeu Fabra - UPF, where they focused on research and development of algorithms for estimating depth from video.
BABAK also worked as a Computer Vision Research Engineer at INESC Technology and Science and Instituto de Telecomunicações, where they conducted research on automatic pavement pathology recognition and gait recognition using Kinect, respectively.
In addition, Babak has interned as a Computer Vision Research Intern at ViCOROB and worked as a Student Researcher at Universiti Teknologi Malaysia, specializing in multimodal biometrics.
Throughout their career, Babak has gained expertise in various aspects of computer vision, including depth estimation, feature recognition, gait recognition, and biometrics.
Babak Roshan holds a Bachelor of Science degree in Computer Engineering-Software from Iran University of Science and Technology, which they earned from 2001 to 2006. BABAK also holds a Master of Science degree in Multi-Modal Biometrics from University Technology Malaysia, which they completed from 2007 to 2009. Additionally, they have three separate Master of Science degrees in Vision and Robotics from Heriot-Watt University, Computer Vision and Robotics from Universitat de Girona, and Computer Vision and Robotics from University of Burgundy, all completed from 2009 to 2011. Babak Roshan has obtained two additional certifications, including GDPR Compliance: Essential Training from LinkedIn in 2018 and Programming and Tuning Massively Parallel Systems from Barcelona Supercomputing Center in 2014.
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VisionTrack
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Founded in 2016, the rise of connected vehicle camera and video telematics specialist VisionTrack has been rapid, launching its Internet of Things (IoT) software platform in 2017 and becoming the industry leader last year. The company’s unique approach is helping tackle some of the most complex challenges faced by the fleet, transport and insurance sectors. VisionTrack works with all types and sizes of fleets that operate in a wide range of industry sectors. With a successful and proven track record, the company is now the preferred video telematics partner for a growing number of fleet businesses with over 40,000 devices already connected to the Microsoft-Azure hosted, cloud-based IoT platform. As a result – in 2019 alone – the company recorded more than 528 million road miles and in excess of 37 million hours of footage. During the same period, 4.6 million videos were requested from the platform and over 194 billion data points collected. From its headquarters in Tunbridge Wells, VisionTrack has started to expand internationally to the US, Australia and mainland Europe. Computer vision and machine learning also have an expanding role to play, with huge benefits to come for fleets, so VisionTrack has an extensive team of big data, AI and cybernetics experts and scientists working on next-generation video telematics solutions.