Dr. Fabio Babiloni was graduated in electronic engineering and holds a PhD in Computational Engineering from the Helsinki University of Technology. He is currently Professor of Physiology at the Faculty of Medicine of the University of Rome “La Sapienza”, Rome, Italy. He teaches “Physiology” at the University Medical School, “Industrial Neuroscience” to the Engineering Faculty, “Neuromarketing and Neuroeconomy” at the Psychology Faculty and “Biomedical Engineering” to the Biotechology Faculty of the same Sapienza University

Professor Babiloni is author of 200 papers on bioengineering and neurophysiological topics on international peer-reviewed scientific journals, and more than 250 contributions to conferences and books chapters. He wrote 4 books on EEG signal processing. His total impact factor is 450 and his H-index is 52 (Google Scholar).

He is an Associate Editor of four scientific Journals, “IEEE Trans. On Neural System and Rehabilitation Engineering”, “IEEE Trans. On Biomedical Engineering”, “IEEE Reviews on Biomedical Engineering” and “International Journal of Bioelectromagnetism”.

Since 2007 is IEEE-EMBS Conference Editor, since 2011 is Chair of the IEEE-EMBS Technical Committee of Biomedical Signal Processing and since 2012 is in the advisory committee of the IEEE-EMBS.

Christoph Michel studied Biology at the Swiss Federal Institute of Technology (ETH) in Zurich where he made his PhD in Behavioral Neuroscience. After a postdoc at the New York University in the MEG lab of Prof. Sam Williamson, he worked as research fellow in the Brain Mapping Lab of Prof. Dietrich Lehmann at the Neurology Clinic of the University Hospital in Zurich.

In 1994 he was appointed at the University of Geneva where he is now Full Professor for Neuroscience at the Medical Faculty and Director of the EEG core of the Lemanic Biomedical Imaging Center. He is the Past-President of the Swiss Society for Neuroscience and the Past-President of the International Society for Bioelectromagnetism.

Christoph Michel has authored over 230 articles and book chapters and is first author of the book “Electrical Neuroimaging”. He is Editor-in-Chief of the journal Brain Topography, Associate Editor of the European Journal of Neuroscience, and Associate Editor of Frontiers in Behavioral Neuroscience.

Xiao-Jing Wang is a Professor of Neural Science at NYU and served as the inaugural Provost of NYU Shanghai. Before joining NYU in the fall of 2012, Professor Wang was a Professor of Neurobiology at Yale University, where he also served as the Director of the Swartz Center for Theoretical Neuroscience in addition to holding secondary faculty appointments in Physics, Applied Mathematics, and Psychology.

Professor Wang is an expert on the neurobiology of executive and cognitive functions. His group has pioneered neural circuit models of the prefrontal cortex, which is often called the “CEO of the brain.” In particular, Professor Wang is known for his work on the cellular basis of short-term memory, neural mechanisms for decision-making, communication and synchronization through inhibitory neurons in the brain. His research group is now embarking on a new initiative of developing neurobiologically realistic large-scale brain circuit models of cognitively controlled flexible behavior.

Professor Wang received his B.S. and Ph.D. in Physics, both with the highest distinction, from the University of Brussels, Belgium. He is a recipient of an Alfred P. Sloan Research Fellowship, a National Science Foundation CAREER Award, a John Simon Guggenheim Memorial Foundation Fellowship, and the Chinese Government’s 1000 Talent Award. Professor Wang is also a Fellow of the American Association for the Advancement of Science.

After studying Philosophy-Neuroscience-Cognition in Magdeburg and Neurocognitive Psychology in Oldenburg (Germany) I am currently pursuing my PhD in Motor imagery, EEG neurofeedback and motor learning in health and disease in Prof. Stefan Debeners research group at the Institute of Psychology, Oldenburg. My research has been strongly inspired by Brain-computer interfaces (BCI) and multimodal data fusion. I have been particularly interested in BCIs steered by means of motor imagery by healthy elderly adults and chronic stroke patients. In this vein our Lab further improved a mobile EEG system to a level that it can be used for a wide range of out-of-the-lab applications, including long-term neurofeedback training at the patient’s home. However, as the spatial resolution of EEG-based neurofeedback is limited, I became fascinated by the combination of EEG-based neurofeedback and simultaneously acquired hemodynamic measures. The combination of EEG-fMRI and EEG-fNIRS indicate a complex relationship between motor imagery induced electrophysiological and hemodynamic signatures. I strongly believe that pushing the current limits of simultaneous EEG-fMRI and EEG-fNIRS BCIs will help to integrate the two recording modalities.

Fa-Hsuan Lin is a professor at Institute of Biomedical Engineering in National Taiwan University. He got his bachelor and master of science degrees in the Department of Electrical Engineering, National Taiwan University in 1994 and 1996, respectively. In 2004 he got his PhD. degree from Harvard-MIT Division of Health Science and Technology. Between 2004 and 2007, he was a postdoctoral research fellow, Instructor, and assistant professor in the Martino Center for Biomedical Imaging in Massachusetts General Hospital and Harvard Medical School.

Dr. Lin’s research interest is in the technical development of magnetic resonance imaging (MRI) and magnetoencephalography (MEG), and the application of these methods to human cognitive neuroscience. MRI and MEG are both non-invasive imaging modalities with respective high spatial and temporal resolutions. When applied to human brain imaging studies, MEG and functional MRI (fMRI) are respectively sensitive to neuronal and accompanied hemodynamic changes. Thus these two imaging methods together provide the unique opportunity to explore the complex neurovascular coupling and to map dynamic changes of the human brain.

Current research projects in Dr. Lin’s lab are geared towards not only enhancing the spatial and temporal resolution of MRI by hardware improvements and the development of novel reconstruction algorithms, but also tailoring a synergic combination of MRI and MEG. Based on high spatiotemporal brain imaging data from MRI and MEG, Dr. Lin is also investigating mathematical approaches to identify large-scale neural networks subserving tasks and cognitive processes. The ultimate goal is to use these imaging and modeling approaches with high spatiotemporal resolution to study the neuronal interactions in normal subjects and neurological as well as psychiatric disorders.

Antonio Ulloa is the founder of Neural Bytes LLC, a private company dedicated to developing software tools for human brain modeling. He received his M.Sc. degree in Computer Science from Monterrey Institute of Technology in 1995 and his Ph.D. in Cognitive and Neural Systems from Boston University in 2002. He was a postdoctoral fellow at the Brain Imaging and Modeling Section of the United States National Institutes of Health, where he conducted neuroimaging experiments to study short-term memory in humans. Antonio also founded Alpha Brain Technologies Ltd in the United Kingdom, a company that specialized in developing mobile software to help learners of English as a second language improve their spoken skills. Antonio is a member of the Society for Neuroscience and the American Association for the Advancement of Science. He currently resides in Washington, DC, where he is developing computational methods that use neurophysiological and neuroimaging data to build biologically realistic models of human auditory and visual object processing.

Ingo Bojak is Professor for Systems Engineering and Neuroscience in the School of Systems Engineering (SSE) at the University of Reading. He obtained his PhD in theoretical physics in 2000, switched to computational neuroscience in 2002, and became a tenure track Lecturer in 2007 (Donders Institute, Nijmegen), Senior Lecturer in 2011 (University of Birmingham, UK), and full Professor in 2013. He is an expert for neural population models (NPMs) and pioneered simulations of the human cortex on a parallel computing clusters. Bojak’s models for general anaesthesia and the EEG are among the most cited in the field, and have led to a worldwide-patented depth of anaesthesia monitor. He continues to work on NPMs, with a strong emphasis on connecting them to data from neuroimaging, electrophysiology and drug research. He has also investigated the effect of axonal diameter distributions on brain dynamics, the influence of alpha rhythm phase on fMRI BOLD, long-range synchrony in cortical networks, and orientation sensitivity in visual cortex. Prof Bojak is an associate editor of the journals Neurocomputing and EPJ Nonlinear Biomedical Physics, and of the NPM section of the Springer Encyclopaedia of Computational Neuroscience. He has served on the Board of the Organization for Computational Neurosciences (OCNS), as Node Representative of the International Neuroinformatics Coordinating Facility (INCF) for the UK and Netherlands, respectively, and is a member of the EPSRC Peer Review College.

Stephen Coombes has a degree in Theoretical Physics from the University of Exeter and a PhD in Neurocomputing from King’s College London. He is currently a Professor of Applied Mathematics at the University of Nottingham, where he is working in Mathematical Neuroscience with a particular interest in the use of nonlinear dynamics to understand aspects of the human central nervous system. He is actively championing this new field of mathematics at the national and international level, co-ordinating a UK network on Mathematical Neuroscience , co-creating the new Journal of Mathematical Neuroscience, and directing a Marie Curie Initial Training Network on Neural Engineering .

Bharat Biswal, an internationally renowned researcher recognized for mapping the brain’s activity, joins the Newark College of Engineering as professor and chair of the Department of Biomedical Engineering. The National Institutes of Health supports the research of Dr. Biswal, who before coming to NJIT was a professor of radiology at the University of Medicine and Dentistry of New Jersey. The National Institute of Mental Health has cited his recent findings – published in the Proceedings of the National Academy of Sciences – as the second most significant research advancement of 2010.

Fifteen years ago as a graduate student at The Medical College of Wisconsin, Dr. Biswal, who was working under the direction of his advisor, James S. Hyde, made a startling discovery: The brain, even during rest, contains information about the functional organization of the brain. He had used fMRI to study how different regions of the brain communicate while the brain is at rest and not performing any active task. At the time, Dr. Biswal’s research was questioned; however, more recently his neuroimaging technique has been widely replicated and used. Mapping the brain’s activity while the body is at rest helps doctors diagnose various diseases of the brain.

Dr. Biswal helped create the 1,000 Functional Connectomes Project, which gathers functional brain imaging data from centers around the world. The project created an open resource for mapping and understanding brain functions. The database includes information on 1,400 participants and Biswal is working to organize it so that researchers can search the data by demographic detail. Researchers from across the globe have downloaded this data more than 50,000 times. He says that careful characterization of gender or age-specific brain architecture can potentially help clinicians use an individual patient’s brain images to identify deviations in data from healthy patients in the same demographic. And that comparison could help clinicians to detect, early on, such conditions including schizophrenia, bipolar disorder and traumatic brain injury.

Biswal has also recently co-founded the peer-reviewed journal Brain Connectivity and serves as a co-editor. It is considered to be one of the leading journals for researchers and clinicians interested in brain connectivity. His hope is that a new journal focusing solely on brain connectivity will foster greater research interest in this area. Another aim is to bring together researchers currently working on all aspects of brain connectivity to help accelerate the field and to assist doctors and clinicians to detect brain diseases.

Wen-Jui Kuo is an associate professor at Institute of Neuroscience in National Yang-Ming University. He got the 2011 Academia Sinica Research Award for Junior Research Investigators (the life sciences division). He is interested in the research of cognitive brain function. Function of his particular interest is about execution and control because it is central to cognitive operation. By using fMRI, he and his colleagues can see what and where the neural networks are for cognitive control. How the cognitive control system interacts with other cognitive function can be pursued as well.

Jianfeng Feng is a professor in Fudan University and dean of Center for Computational Systems Biology at School of Mathematical Science. He got his Ph.D, M.Sc, and B.Sc degrees at 1991, 1988, and 1985 respectively, at Probability and Statistics Dept. in Peking University. His reserach interests are quite wide including: Brain Diseases: Brain Disorders and Brain Tumour; Computational Neuroscience: modelling, data analysis and experiment; Granger Causality Analysis, both theory and applications; Machine learning; Mathematical physics.