From hands to brains: How does human body talk, think and interact in face-to-face language use?
Professor, Donders Institute for Brain, Cognition and Behavior, Radboud University
Research Associate, MaxPlanck Institute for Psycholinguistics
Director, Multimodal Language and Cognition lab
Bio: Prof. Dr. Asli Ozyurek completed her BA in Psychology at Bogazici University Turkey and earned a double Ph.D. degree in both Psychology and Linguistics from the University of Chicago. Currently she is a Principle Investigator at the Donders Institute for Brain, Cognition and Behavior at Radboud University in Netherlands and is a Research Associate at MaxPlanck Institute for Psycholinguistics and is the Director of the Multimodal Language and Cognition lab.
In general she investigates the role our language ability plays in human cognition and communication. To do so she uses a cross linguistic, cross cultural and multimodal aproaches to understand how language is used in embodied, situated and social contexts through our bodily actions, as in the use of gestures and sign languages. She is also interested in how our use of multimodal language interacts with other domains cognition (spatial cognition, action, memory, social, communicative intention), that is its neural, cognitive and social foundations.
She is an elected member of Academia Europea and has received ASPASIA award from Dutch Science Foundation and Young Scientist award from Turkish Science Foundation. She has obtained many career grants such as ERC Starting Grant, Dutch Science Foundation (NWO) VIDI and VICI grants and hosted many Marie Curie Individual Fellowships and has publications in Science, PNAS, Cognition, Psychological Science, J of Cognitive Neuroscience, Neuroimage among others.
More information and CV can be found at https://www.mpi.nl/department/multimodal-language-and-cognition/17 and http://www.ru.nl/mlc/
Twitter: @GestureSignlab and @ozyurek_a
Deep Learning for Joint Vision and Language Understanding
Associate Professor, Boston University
Consulting Professor, MIT-IBM Watson AI Lab
Bio: Kate is an Associate Professor of Computer Science at Boston University and a consulting professor for the MIT-IBM Watson AI Lab. She leads the Computer Vision and Learning Group at BU, is the founder and co-director of the Artificial Intelligence Research (AIR) initiative, and member of the Image and Video Computing research group. Kate received a PhD from MIT and did her postdoctoral training at UC Berkeley and Harvard. Her research interests are in the broad area of Artificial Intelligence with a focus on dataset bias, adaptive machine learning, learning for image and language understanding, and deep learning.
More information can be found at http://ai.bu.edu/ksaenko.html
Sonic Interaction: From gesture to immersion
Professor of Media Computing, Goldsmiths University of London
Bio: Atau Tanaka conducts research in embodied musical and human-computer interaction. He has a BA from Harvard, composition/audio engineering degrees from Peabody Conservatory and obtained his doctorate from Stanford University's CCRMA. He uses muscle sensing via the electromyogram (EMG) in conjunction with machine learning in concert performance and interaction research where the human body can be said to become a musical instrument. Atau has carried out research at IRCAM Centre Pompidou, was Artistic Ambassador for Apple France and researcher at Sony Computer Science Laboratory (CSL) Paris. His artistic work has been presented at Ars Electronica, San Francisco Museum of Modern Art (SFMOMA), Eyebeam NYC, Southbank London, NTT-ICC Tokyo, and ZKM Karlsruhe. His scientific research is published in the NIME, CHI, and SIGRRAPH communities, and been supported by the European Research Council (ERC), and UK research and arts councils. He has been mentor at the UK's National Endowment for Science, Technology & Art (NESTA) and was Artistic Co-Director of STEIM in Amsterdam and Edgar Varèse guest professor at TU Berlin. He is Professor of Media Computing at Goldsmiths University of London.