Dan Witzner Hansen
Doctor in Computer Science, Interested in eye tracking, gaze estimation, image analysis.
Associate professor at the IT University of Copenhagen within the Innovative Communications Group (since 2008). His research interests are within image analysis and machine learning with a particular emphasis on robust and low-cost eye tracking and their applications. Within eye tracking, his interests spans gaze estimaton (fully, partially and uncalibrated setups), robust methods for image processing and noise tolerant gaze interaction. Within eye tracking research he is aiming towards “Mobile eye tracking in the wild”. A review paper on this topic is available in his publications. Generally he is interested in computer vision and machine learning for computer interaction research and applications.
Dan Witzner Hansen holds as Ms.C in Computer science and mathematics from University of Århus and a PhD from IT University, Copenhagen. He has been a visiting scolar at Cambridge University and post doc. at the Technical University of Denmark. He has been reviewer for several journals (e.g.International Journal of Computer Vision, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transaction on Biomedical engineering), program committees for international conferences and has been involved in initializing and co-organizing international research networks ( the IST EU Sixth framework programme “Communication by Gaze Interaction” (COGAIN)) and national research projects.
Post-doc at the Software and Systems department at IT University of Copenhagen. His current research is within mobile gaze tracking for control of home appliances. He is interested in mobile gaze tracking, and the main goal of his PhD research is to investigate how head mounted eye trackers can be used for interaction with the environment. The research involves investigating the algorithms for head-mounted eye tracking to make these eye trackers more accurate, and more robust for the indoor/outdoor use. Furthermore, he has an interest in using the gaze data in Cognitive science and Human factor fields to understand more about the Human Cognitive Processes.
Diako has a B.Sc. in Mechanical Engineering at Amirkabir University of Tehran and a M.Sc. in Biomechanical Engineering at Iran University of Science and Technology. In his master thesis he fabricated and evaluated a low-cost head mounted eye tracking system (Dias Eye Tracker) for screen-based interaction.
Richard Andersson is working on eliciting and modelling the perceptual consequences of a non-rigid eye. Richard has a PhD in cognitive science and has previously worked with eye-tracking at Lund University Humanities Laboratory.
Fabricio Batista Narcizo
Fabricio Batista Narcizo received the BS degree in Computer Science from the University of the West of Santa Catarina (UNOESC), Brazil, in 2005, and the MSc degree in Computer & Electronic Engineering from the Technological Institute of Aeronautics (ITA), Brazil, in 2008. Nowadays, he is a PhD student at the Software and Systems department at IT University of Copenhagen (ITU), in which he has a financial support from CNPq. His PhD research is focused on development of eye tracking systems for elite sports. He was an assistant professor of Computer Science, Information Systems and Data Processing at Bandeirante University of São Paulo (UNIBAN), University July 9th (UNINOVE) and Mackenzie Presbyterian University (Mackenzie) between February, 2007 and January, 2012. He has research experience in the field of Computer Science, with emphasis in eye tracking for disabled people. His interests are in computer vision, digital image processing, human-computer interaction and eye tracking.
Shahram is a PhD fellow at IT University of Copenhagen. He obtained his Information Systems degree (M.Sc.) at Lund University. He also holds his BSC in Systems Analysis from Sharif University of Technology in Iran.
Shahram’s main research interests are Human-Computer Interaction, Pervasive Computing, Wearable Computing, and Multimodal Interaction. His current research targets development and evaluation of interaction technologies for wearable computers. The specific focus of his research is to design and develop a wearable personal assistant for clinicians to support them throughout a workday in hospital. The wearable personal assistant supports multimodal interaction and context-sensitive user interface adaptation (automatic choice of device and interaction modality) based on the situation.
Ben Tatler has an undergraduate degree in Natural Sciences at Cambridge University. His dissertation was with Prof. Simon Laughlin and considered how the temporal responses of photoreceptors of the blowfly (Calliphora) change with eccentricity in the eye. He then went on to do a PhD with Prof Mike Land in Sussex looking at what information survives eye movements in real world settings. Following the PhD, Ben Tatler spent a further 3 years as a postdoc working with Mike Land. This project looked at how object memories are extracted and retained across eye movements in real and laboratory settings. He joined Dundee as a lecturer in September 2004.
Camilo Rodegheri Mendes dos Santos is a graduate student in Computer Engineering at Polytechnic School of University of São Paulo. He was Finance Director, Board Advisor and Project Manager at Poli Junior – Junior Enterprise of Polytechnic School of University of São Paulo – a company managed and run exclusively by engineering students from the school. Also worked with financial markets as software engineer for high-frequency trading, market risk control and real-time algorithms for electronic trading.
Camilo has experience in developing electronic systems and software for interface, data processing and analysis. His current research is in neuroscience with mapping of attention in the visual field and applications of eye-tracker, participating in the Laboratory of Physiology of Behavior ICB – USP and IT Univerity of Copenhagen.