As part of IMVIP 2016, sessions will be given by several keynote speakers. Among those confirmed are:

Jenny Read Jenny Read is Professor of Vision Science at the Institute of Neuroscience in Newcastle University. Her particular interest is 3D and stereo depth perception and her research includes detailed psychophysical measurements of depth perception, computational models of the underlying neuronal mechanisms, stereopsis in other species, clinical disorders of vision, and commercial applications of 3D display technologies (http://www.jennyreadresearch.com). Her major projects at the moment include  “Man, Mantis and Machine”, looking at insect 3D vision, and ASTEROID, developing a new vision test for children.
Rudolf Mester

Rudolf Mester is guest Professor at the Computer Vision Laboratory at the ElectricalEngineering Dept. (ISY) of Linköping University, Sweden where he leads an initiative for Intelligent Visual Vehicle Sensorics and Visual Surround Sensing. The aim is to generalize state of the art computer vision procedures for typicalvehicle-related tasks such as driver assistance towards multi-view /omnidirectional processing. His research are focused on statistical signal and image processing methods, the construction of robust and reliable vision algorithms and flexible vision systems as well as the theoretical foundations for "seeing machines". (http://www.vsi.cs.uni-frankfurt.de/people/prof-mester/)

Chris Solomon

Chris Solomon is Reader at the University of Kent. He also directs VisionMetric Ltd, a spin-out company which is the UK's leading developer and supplier of facial composite software to the police. His main research activities focus on image processing and evolutionary methods with particular interest in the human face.

Alexandru Drimbarean

Alexandru Drimbarean is the Vice President of Advanced Research team at FotoNation Ireland focusing on developing computer vision and machine learning technologies for mobile, biometrics and automotive applications. He and his group aim at identifying, researching and providing novel innovative techniques and features to enhance, extend and simplify the adoption of imaging technologies. Alexandru received his B.S in Electronic Engineering in Brasov Romania followed by an M.Sc. in Electronic Science at N.U.I Galway in 2002. His interests include image acquisition, processing and understanding as well computer vision and machine learning. Alexandru has authored several journal articles as well as more than 30 patents.

George Siogkas

George Siogkas is a computer vision researcher in the Automated Parking Product Group in Valeo Vision Systems, Tuam, Co. Galway. George received his PhD in Electrical and Computer Engineering from the University of Patras, Greece in 2013. Before joining Valeo, he worked as a lecturer in a private College in Greece, where he also served as the Head of the Engineering and Informatics Department. His main research interests lie in the areas of computer vision, signal and image processing and machine learning, with a special focus on automotive and biomedical applications. Since he started working for Valeo, George has been contributing to the development of algorithms like park slot marking detection and lane detection. Currently, he leads the Deep Learning related research efforts of the Automated Parking Group.

Michael Starr

Michael Starr is a computer vision researcher in the Automated Parking Product Group in Valeo Vision Systems, Tuam, Co, Galway. He has worked extensively on automotive computer vision for the delivery of Advanced Driver Assistance Systems (ADAS) including Object Detection, Parking Slot Detection, and Trailer Parking Assist algorithms. Michael also has a strong interest in the application of computer vision algorithms to FPGAs. Prior to his work in Valeo, Michael worked in the design of Electron Multiplying CCD (EMCCD), Short Wave Infrared (SWIR), scientific CMOS and CCD cameras focusing on low noise and high sensitivity for medical and security applications. Michael has patents in the areas of lens soiling detection and ADAS trailer applications.

Alireza Dehghani

Alireza Dehghani is a senior R&D researcher in the area of advanced computer vision. Alireza completed his BSc and MSc degrees in Electronics and Communication Engineering. He spent 28 months in two industrial and research centres as the head of Power Line Carrier (PLC) and Telecommunication Protocol Developing groups. Then, he joined the Azad University of Iran as a faculty member in September 2003. During three and half years out of 8 years of this job, he has been the head of Electrical and Electronic Engineering group. Alireza has completed his PhD at DCU on December 2014 in the field of Human Body Tracking. He is the co-author of a number of pending papers and patents in the area of advanced computer vision algorithms. Alireza is a senior R&D CV Engineer and WP2 Program Manager in H2020 EoT (Eyes of Things) European project since January 2015.