Implicit User Interfaces
Robert Jacob is a Professor of Computer Science at Tufts University, where his research interests are new interaction modes and techniques and user interface software; his current work focuses on implicit brain-computer interfaces. He has been a visiting professor at the University College London Interaction Centre, Universite Paris-Sud, and the MIT Media Laboratory. Before coming to Tufts, he was in the Human-Computer Interaction Lab at the Naval Research Laboratory. He received his Ph.D. from Johns Hopkins University, and he is a member of the editorial board for the journal Human-Computer Interaction and a founding member for ACM Transactions on Computer-Human Interaction. He has served as Vice-President of ACM SIGCHI, Papers Co-Chair of the CHI and UIST conferences, and General Co-Chair of UIST and TEI. He was elected to the ACM CHI Academy in 2007 and as an ACM Fellow in 2016.
Dr. Surjo R. Soekadar, MD, is head of the Applied Neurotechnology Laboratory at the University Hospital of Tübingen. From 2009-2012, he was fellow at the Human Cortical Physiology and Stroke Neurorehabilititation Section (HCPS) at the NIH, USA. His research interests include cortical plasticity in the context of brain-machine interface (BMI) applications, non-invasive brain stimulation and neural mechanisms of learning and memory. He developed the first paradigms that combine BMI with transcranial electric stimulation (TES), and demonstrated full restoration of independent daily living activities, such as eating and drinking, across quadriplegic patients who used a hybrid brain/neural hand-exoskeleton outside the laboratory. He is member of board of several NGO’s dealing with improving health care in developing countries and served as resource specialist at the Salzburg Global Seminar. Surjo Soekadar was co-chair of the 2013 and 2015 International Workshops on Clinical Brain-Machine Interface Systems. He received various prizes such as the NIH-DFG Research Career Transition Award (2009), the NIH Fellows' Award for Research Excellence (2011), the international BCI Research Award 2012 (together with Niels Birbaumer) and the Biomag 2014 Young Investigator Award.
Pim Haselager obtained master degrees in philosophy and psychology, and received his PhD in 1995 at the Free University of Amsterdam, the Netherlands. Currently he is associate professor and principal investigator (Theoretical Cognitive Science) at the Donders Institute for Brain, Cognition and Behaviour, at the Radboud University Nijmegen.
His research focuses on the implications of Cognitive neuroscience and Artificial Intelligence for human self-understanding. He investigates the ethical and societal implications of research in, and the ensuing technologies of, CNS and AI, such as Robotics, Brain-Computer Interfacing, and Deep Brain Stimulation. He is particularly interested in the integration of empirical work (i.e. experimentation, computational modeling, and robotics) with philosophical issues regarding knowledge, identity, agency, responsibility and intelligent behavior.
He has published in journals such as American Journal of Bioethics, Neuroethics, Journal of Cognitive Neuroscience and Journal of Social Robotics. He is vice-president of the European Association for Neuroscience and Law.
Computational Neuroscience of Human EEG
Makoto Miyakoshi is an associate project scientist of Swartz Center for Computational Neuroscience (SCCN), Institute for Neural Computation, University of California San Diego. He received Bachelor’s degree in Philosophy in Waseda University in 2003, Master’s degree and PhD in Psychology in Nagoya University in 2005 and 2011. He received fellowship from Japan Society for the Promotion of Science (JSPS) during 2005-2008 and 2011-2013 with which he visited SCCN director Scott Makeig, and later he became Scott’s post-doc in 2011. In parallel with analyzing clinical EEG data in collaboration with clinical researchers of schizophrenia, epilepsy, and post-stroke motor rehabilitation using TMS, he has been working on optimizing workflows and algorithm of EEG preprocess pipeline using independent component analysis (ICA). He also makes contribution to user community of EEGLAB, which is the most widely used free, open-source EEG analysis library developed by SCCN, by developing extensions, answering questions to the mailing list, and publishing information in SCCN websites.
Further keynote speakers for NAT'17 will be announced shortly.