Our team
Dimitris Mylonas
Dimitris is an Associate Professor in Data Science at Northeastern University London. He holds a PhD from the Department of Computer Science, University College London. He received a MSc in Digital Colour Imaging from London College of Communication, University of the Arts London and completed successfully a MRes in Media and Arts Technology at Queen Mary University of London. He held research posts in the School of Psychology, University of Liverpool, in the Wellcome Laboratory of Neurobiology, University College London and in the Centre for Cognition, Computation and Culture, Goldsmiths College, University of London. Dimitri’s research focuses on colour communication within and across different languages.
Northeastern University
London
Alexandros Koliousis
Alexandros Koliousis is a professor of computer science at Northeastern University London. His current research interests lie at the intersection of scalable data systems and deep learning. Koliousis has worked on the design and implementation of high-performance data-parallel multi-GPU processing systems in the areas of deep learning and data stream processing. He has also researched topics including efficient natural language processing in hardware, complex event processing for home network management, and routing systems for wireless sensor networks.
Before joining Northeastern’s London affiliate, Koliousis held an industry research position at the semiconductor company Graphcore and academic positions at the Imperial College London and the University of Glasgow. He earned his doctoral degree in computing science and his Master of Science in advanced computing science from the School of Computing Science at the University of Glasgow.
Northeastern University
London
Jonathan Stutters
Jon is a data manager for the Queen Square Multiple Sclerosis Centre Trials Office and IT manager for the MRI research groups in the departments of neuroinflammation and epilepsy at UCL. Jon’s main research interest is in the efficient and reproducible analysis of MRI images for diagnosis and monitoring of multiple sclerosis.
UCL
London
Rhea Eskew
Most of Rhea’s research is in visual psychophysics, particularly color detection and discrimination. He constructs quantitative models and use psychophysical data to test such models. Specific topics of recent interest have included multiple (“higher-order”) color mechanisms, functional properties of ON and OFF pathways, and s-cone increment/decrement asymmetries.
Northeastern University
Boston
Andrew Stockman
AS Stockman is a vision scientist who studied Experimental Psychology as an undergraduate at Oxford before pursuing a Ph.D. in human color vision at Cambridge under John Mollon. After completing his Ph.D. in 1984, he received a postdoctoral fellowship at UC San Diego, where he worked with Donald MacLeod. He spent 17 years at UCSD, progressing from PostDoc to Senior Research Scientist, supported by NSF and NIH grants. His research there covered color vision, visual sensitivity, adaptation, and molecular genetics, collaborating often with Ted Sharpe. In 2001, Stockman joined UCL’s Institute of Ophthalmology as the Steers Professor of Investigative Eye Research and later became an Honorary Consultant at Moorfields Eye Hospital. At UCL, he expanded his research into clinical vision, directing the Colour & Vision Research Laboratories, supported mainly by the BBSRC and NIHR. He leads the Visual Neuroscience and Function theme at UCL and is active in professional organizations, including OSA, ICVS, and the Colour Group (GB). Stockman has also been involved in editorial work, serving as Editor-in-Chief for Color Research and Application. He created and maintains the “Colour and Vision Research Laboratories Database” (cvrl.org), a key resource for the vision research community.
UCL
London
Akvile Sinkeviciute
Akvile Sinkeviciute is a Ph.D. candidate in Computer Science, specializing in intergenerational colour communication. She holds an MPhil in Linguistics and Language Acquisition from the Norwegian University of Science and Technology. Her previous work examined the colour perception of bilinguals and how language can influence colour perception. Her research interests include colour language, psycholinguistics, and the cognitive basis of communication, with a focus on understanding the dynamics of intergenerational colour communication and developing practical solutions to improve it.
Northeastern University
London
Ali Bozorgian
Ali Bozorgian received his Bachelor of Science degree in engineering and a Master of Science degree in colour science at Tehran Polytechnic in 2017 and 2020, respectively. Following this, he joined the Ph.D. program in the computer science department at the Norwegian University of Science and Technology. His research focuses on human visual perception, image quality, and computer vision.
Northeastern University
London