Basic Information

Degree	Doctor of Philosophy
Laboratory Name	Research Center for Smart Vehicles
Research Fields	Computer Vision, Machine Learning, Evolutionary Optimization
Academic Background	Ph.D. degree in computer vision and machine learning from University of Dundee in 2011.
Work History	Toyota Technological Institute, Nagoya, Japan Assistant Professor July 2017 - present Commissioned Scientist Feb 2017 - June 2017 Post-doctoral researcher Feb 2014 - Feb 2017 University of Amsterdam, Amsterdam, The Netherlands Post-doctoral researcher 2011 - 2013 Philips Research, Eindhoven, The Netherlands Visiting researcher Summer, 2012

Research Themes

Perception for Autonomous Vehicles
Sensor Fusion and Calibration
Predictive Behavior Analysis
Automated Driving

Awards

Best Image Processing Oral Presentation: V. John, A. Boyali and S. Mita, “Gabor Filter and Gershgorin Disk-based Convolutional Filter Constraining for Image Classification”, International Conference of Robotics and Automation Systems, 2017.

Best Image Processing Oral Presentation: V. John, L. Zheming and S. Mita. 2016. Robust Traffic Light and Arrow Detection using Optimal Camera Parameters and GPS-based Prior, IEEE Asia-Pacific Conference on Intelligent Robot Systems.

Toyoda Award for the Best Researcher: V. John. Deep learning for Intelligent Vehicle Applications. 2016.

Best Application Paper Award: V. John, Z. Liu, C. Guo, S. Mita and K. Kidono. 2015. RealTime Lane Estimation using Deep Features and Extra Trees Regression, Pacific Rim Symposium on Image and Video Technology.

Nvidia Award for Best Poster: V. John, Z. Liu and S. Mita. 2015. Deep learning-based real-time lane detection for intelligent vehicles. GPU Tech conference, Tokyo, Japan.

Invited Best Paper: V. John, Q. Long, Z. Liu and S. Mita. 2015. Automatic Calibration and Registration of Lidar and Stereo Camera without Calibration Objects. IEEE International Conference on Vehicular Electronics and Safety, Yokohama, Japan.

Best Paper Award: V. John, E. Trucco and S. McKenna. 2010. Marker-less Human Motion
Capture using Charting and Manifold Constrained Particle Swarm Optimisation. British Machine Vision Conference Student Workshop.

Invited Book Chapter: V. John, S. Ivekovic and E. Trucco. 2010. Markerless Human Motion Capture using Hierarchical Particle Swarm Optimisation. Chapter in Computer Vision, Imaging and Computer Graphics: Theory and Applications, Communications in Computer and Information Science, volume 68, 2010.

University of Dundee Discovery Scholarship: Awarded the Scholarship, in addition to the research council (EPSRC) studentship, (total scholarship valued at £65000) for my PhD research.

Research Scholarship: Awarded 50% scholarship to pursue Masters in Robotics at Carnegie Mellon University.