Cortical sources of resting state EEG rhythms unveil different abnormalities in neurophysiologic mechanisms of vigilance in Alzheimer's and Lewy Body diseases
Update qEEG: where should we go?
Single Pulse Electrical Stimulation to probe cortex in epilepsy patients
What we can learn from mathematical relations between coupling measures to estimate brain connectivity from electrophysiological data
Dry electrodes for electroencephalography
Advances in the estimation of EEG/MEG source connectivity
Relating brain measurements to structure and activity via modeling
Current Advances in Brain-Computer Interfaces
Associate Professor of Physiology, Sapienza University of Rome (Italy).
Master Degree in Psychology (Sapienza University of Rome, Italy) and PhD in Biomedical Sciences (Aalborg University, Denmark).
Head of the Laboratory of Cognitive Neuroscience (Department of Physiology and Pharmacology “Erspamer”, Sapienza University of Rome).
Editorial Board of international scientific journals: Journal of Alzheimer’s disease (Associate Editor 2015 and 2019, Senior Editor, 2014, 2016-2018), Clinical Neurophysiology (Editorial Board, July 2011-June 2017), NeuroImage (Editorial Board, 2013-2016), Current Alzheimer Disease (Editorial Board, 2017-2019).
Communications Chair of Electrophysiology Professional Interest Area of the Alzheimer's Association International Society to Advance Alzheimer's Research and Treatment (2018-2019).
Full Professor, University of Electronic Science and Technology of China, China
Post: Director, Center for Information in Medicine, University of Electronic Science and Technology of China; Director, Key Laboratory for NeuroInformation, Ministry of Education, China; Director, Int Joint Research center for Neuroinformation, Ministry of Science and Technology, China; Deputy to the National People’s Congress; Vice director, Chinese Society of Biomedical Engineering; Director, Chinese Society for Cognitive Science; Director, Sichuan Society for Cognitive Science.
Honors and Awards: AIMBE Fellow (2017), E. Roy John award (2018), Listed in Elsevier "Most Cited Chinese Researchers" from 2014 to 2018; National Excellent Teachers of MOE (2010); First class Natural Science Award (Ministry of Education (MOE), 2010); Excellent Post Doctor, Sichuan Province, 2006; Outstanding Youth Fund Winner of NSFC (2005)
Services for International journals (Editors): Brain Topography (Editorial Board Member，2018-); IEEE Trans NSRE (Associate Editor，2018-); Physiol Measurement (Advisory board Member，2018-); Plos One (Academic Editor，2015-2018); Frontiers in Computational Neuroscience (Associate Editor, 2018-); Frontiers in Neuroscience（Review editor, brain imaging methods,2015-）; Physics in Medicine and Biology (Advisory Board Member, 2002-2006)
Services for Domestic/International Scientific Societies: Vice-Chairman of the Chinese Society of Biomedical Engineering(2015-); Member of the council of the Chinese Society of Cognitive Science(2013-); Chairman of the council of the Sichuan Society of Cognitive Science(2015-); Board Member of the International Society for Brain Electromagnetic Topography( ISBET) ; International Scientific Committee of the 19th WORLD CONGRESS OF PSYCHOPHYSIOLOGY Lucca | Italy September 4 - 8 | 2018 ; Chairman of the 20th WORLD CONGRESS OF PSYCHOPHYSIOLOGY (2020, chengdu)
Research interests: Multi-modal imaging (EEG, MRI, and simultaneous EEG-fMRI) methods; Brain-Apparatus Conversation (Bacomics): music-brain, brain-computer (BCI), brain-video game, brain-body conversation; Brain diseases: epilepsy, schizophrenia, aging and AD; Neurodata (big data) and Neuro-computational model (Brain-inspired AI)
Assistant Professor, UMC Utrecht Brain Center, Utrecht, The Netherlands
Research Experience: geertjan Huiskamp obtained his PhD degree at the University of Nijmegen in 1989 on work on the inverse problem of electrocardiography in the group of Adriaan van Oosterom. After having spent post-doc research time at the University of California at Irvine on inverse methods and again at the University of Nijmegen on propagation models for ventricular activation, in 1996 he moved to the department of Clinical Neurophysiology of the University Medical Center Utrecht, the Netherlands, where he got involved in source localization for pre-surgical evaluation of epilepsy patients. Since 2000 he is staff physicist at the department of Neurology and Neurosurgery, University Medical Center Utrecht, where his main tasks are research and technology assessment centered around the invasive epilepsy monitoring unit. His current interests are advanced signal processing of spontaneous and evoked EEG in epilepsy patients.
Dept. of Neurophysiology and Pathophysiology University Medical Center Hamburg-Eppendorf, Germany
Working area: Center for Experimental Medicine; Institute of Neurophysiology and Pathophysiology
4/84-11/90: Study of physics at the University of Oldenburg. Master thesis on quantum chromodynamics
12/90-2/95: PhD at the University of Oldenburg. Thesis on topological solutions of semiclassical field equations of the electroweak theory
12/95-8/00: Scientific assistant in the Dept. of Neurology at the University Klinikum Benjamin Franklin in Berlin Project: ’Cortical Plasticity’
9/00-8/02 ’Research Assistant Professor’ at the Dept. of Computer Science of the University of New Mexico in Albuquerque/USA.
Grant from ’National Foundation for Functional Brain Imaging’
9/02-3/05 Staff Scientist at ’National Institute of Neurological Disorders and Stroke’ (NINDS) which is part of the ’National Institutes of Health’ (NIH), Bethesda, Maryland, USA
4/05-1/12 : Senior Scientist at Fraunhofer Institute/FIRST in Berlin/Germany
1/09-1/12: Head of Group IDA (Intelligent Data Analysis) at Fraunhofer FIRST
2/12-: Head of MEG Lab, Dept. of Neurophysiology and Pathophysiology, UKE, Hamburg
Professor, TU Ilmenau, Germany
Research Experience:Jens Haueisen received a M.S. and a Ph.D. in electrical engineering from the Technical University Ilmenau, Germany, in 1992 and 1996, respectively. From 1996 to 1998 he worked as a Post-Doc and from 1998 to 2005 as the head of the Biomagnetic Center, Friedrich-Schiller-University, Jena, Germany. In 2003 he received the habilitation (professorial thesis). Since 2005 he is Professor of Biomedical Engineering and directs the Institute of Biomedical Engineering and Informatics at the Technical University Ilmenau, Germany. He has authored and co-authored more than 200 research articles in peer reviewed scientific journals and serves on two editorial boards. From 2002 to 2004 he served as President and from 2004 to 2006 as Secretary General of the International Advisory Board on Biomagnetism. Since 2005, he is chair of the study program development commission and chair of the examination commission of the Bachelor and Master program “Biomedical Engineering”. He is member of the academic senate of the Technical University Ilmenau and full member of the Saxon Academy of Science. His research interests include the investigation of active and passive bioelectric and biomagnetic phenomena and medical technology for ophthalmology.
Pedro A. Valdes-Sosa
Professor, University of Electronic Science and Technology of China, China
Research Experience: Pedro studied medicine at the University of Havana and graduated in 1972. During his medical studies he was part of the team working developing ERP multivariate statistical software the first Cuban microcomputer (1970). He also got a B.Sc. in Mathematics in 1973. He obtained his Ph.D. in 1978. In 1979 he undertook his postdoctoral training on “Neurometrics and Computational Techniques” and “Biophysical Modeling of brain electrical activity” with Prof. E. Roy John at the Brain Research Lab of New York University USA. In 2011 Cuban National Science Degree Council granted him a Doctorate in Science as a Lifetime Achievement Award for his pioneering contribution to quantitative EEG and neuroimaging. He is the general vice-director for research of the Cuban Neuroscience Center; of which he was the co-founder in 1990. Since 2013 he is also a Distinguished Professor of Neuroinformatics at the University of Electronic Science and Technology of China. In 2015 he was awarded the “1000 talent foreign professorhip” of China, and was designated as the director of the Joint China-Cuba Laboratory for Frontier Research in Translational Neurotechnology. He is a senior professor of the Higher Institute for Medical Sciences, full member of the Cuban Academy of Sciences, full member of the Latin American Academy of Sciences and ex officio Program Chair of the Organization for Human Brain Mapping.
Professor, The University of Sydney
Peter Robinson received his PhD in theoretical physics from the University of Sydney in 1987, then held a postdoc at the University of Colorado at Boulder until 1990. He then returned to Australia, and joined the permanent staff of the School of Physics at the University of Sydney in 1993, obtaining a chair in 2000, and subsequently holding two Australian Research Council Federation Fellowships before his present Laureate Fellowship. His current work is mainly on brain dynamics, networks, complex systems, field theory, propagators, critical phenomena, imaging, and waves. He is a Chief Investigator on the ARC Center for Integrative Brain Function, the Cooperative Research Center for Alertness, Safety, and Productivity, the NHMRC Center Neurosleep, and the University of Sydney Center for Complex Systems.
Professor, Department of Biomedical Engineering School of Medicine Tsinghua University, Beijing, China
Prof. Shangkai Gao graduated from the Department of Electrical Engineering of Tsinghua University, Beijing, China, in 1970, and received the M.E. degree of biomedical engineering in 1982 in same department of Tsinghua University. She is a professor of the Department of Biomedical Engineering in Tsinghua University. Her research interests include biomedical signal processing and medical imaging, especially the study of brain-computer interface. She is the Fellow of the Institute of Electrical and Electronic Engineers (IEEE) and the Fellow of the American Institute for Medical and Biological Engineering (AIMBE). She is now the Editorial Board Member of IEEE Transactions on Biomedical Engineering, Journal of Neural Engineering and Physiological Measurement, as well as the senior editor of IEEE Transactions on Neural System and Rehabilitation Engineering.
Academic Staff. Technische Universität Ilmenau. Germany.
Research: Analysis of MEG and EEG data with respect to epileptic foci. Modeling of the head as volume conductor. Simulation and application of transcranial current stimulation.
Professor, University of Campania“Luigi Vanvitelli”. Italy
Research interests ：Italian Network for Research in Psychoses Study（Apr 2019）Disorganization and cognitive impairment in schizophrenia: New insights from electrophysiological findings（Mar 2019）Disorganization and cognitive impairment in schizophrenia: New insights from electrophysiological findings(Jan2019)Neuroimaging and Psychopathological Domains: Achievements and Perspectives(Jan 2019)
Professor, University of Electronic Science & Technology of China, China
Research Experience: since 2015 Benjamin Becker is working as full-time National and Sichuan Provincial Thousand Talent Professor at the UESTC. In 2018 Prof. Becker received the “Academic and Technical Leading Scientist of Sichuan Province” award. His current research is focused on determining brain-based markers and novel treatment approaches for emotional brain disorders and is supported by Chinese and German funding agencies. He has published over 70 highly cited papers in international peer-reviewed journals including American Journal of Psychiatry, Brain, Biological Psychiatry, Psychotherapy and Psychosomatics and Cerebral Cortex.
Professor. Zhejiang University. China
Interests: Recovery, medial prefrontal cortex (mPFC), minimally conscious state (MCS), disorders of consciousness (DOC), unresponsive wakefulness syndrome/vegetative state (UWS/VS), TMS，tDCS.
Carlos H. Muravchik
Professor of the National University of La Plata (UNLP), Argentina.
He graduated as a Telecommunications Engineer (UNLP, 1973) and received the M.Sc. in Statistics and Ph.D. degrees in Electrical Engineering (Stanford University, USA, 1983). He is a member of the Comision de Investigaciones Cientificas de la Pcia. de Buenos Aires and of the National Academy for Exact, Physical and Natural Sciences (Argentina); and the past Director of the Research Institute for Electronics, Control and Signal Processing (LEICI) where he works. His research interests are in statistical and array signal processing with communications, control and biomedical applications (methods for EEG modeling and processing, source localization, connectivity and stimulation).
Postdoctor, Aix-Marseille Université, France
Research interests：Statistical signal and array processing;source localization of epileptic spikes and other EEG events; simultaneous functional MRI and EEG. Methodological developments for human brain mapping, based on both non-invasive techniques (MEG, EEG, fMRI) and intracerebral EEG.
Professor, University of Geneva, Switzerland
Research interest is the organization and the dynamics of the large-scale neuronal networks of the human brain that characterize mental functions, and the understanding of disturbances of these networks in patients with brain dysfunctions. Electromagnetic imaging based on high-resolution EEG is our principal instrument to study these questions. Our group is working on the development of spatio-temporal signal analysis techniques that allow to characterize neuronal electric activity in time and space. By integrating these data into realistic head models based on the anatomical MRI, information flow within the individual brain can be visualized.
South China Normal University, China
Dr Chunliang Feng is interested in social neuroscience, decision making, oxytocin and vasopressin.
Associate professor, University of Electronic Science and Technology of China, China
Research Experience: 2007.09-2011.06 University of Electronic Science and Technology of China, Department of Circuits and Systems, Ph.D.2004.09-2007.06 Graduate School of Chinese Academy of Sciences, Master of Computer Application, Master's Degree2000.07-2004.06 University of Electronic Science and Technology, Automation, Bachelor degree. They use both computational methods and techniques related to information inference to study how neuronal ensembles operate in our complicated brain. Established computational models in our lab may range from the single neuron level to local neural circuits and, sometimes, even to the whole-brain level, depending on different investigated scientific questions. To test our theory proposed in computational models, we also combine the electrophysiological experiments and record multichannel data (spike and local field potential) from the rodents, and these data will be further analyzed with advanced signal processing techniques.Cognitive Neuroscience , Neuroscience , Neurobiology , Electrophysiology , Neuron , Synaptic PlasticityInformation Science , Neural Plasticity , Synaptic Transmission , Computational Neuroscience,Neurotransmitter , Cerebral Cortex , Ganglia , SSVEP
Associate professor, Shenzhen University, China
Dr Fang Cui does research in social neuroscience, and is interested in empathy, moral perception and social decision making.
Professor, Dalian University of Technology, China
Since March 2007, he has been with the Department of Mathematical Information Technology in the University of Jyväskylä. From March 2007 to August 2008, he was a postdoctoral researcher, from September 2008 to June 2011, he was junior lecturer (faculty position), and from July 2011 to June 2015, he has been holding a tenure-track faculty position. In May 2012, he was conferred the title of Docent (Tenuerd Adjunct Associate Professor) in Signal Processing at the Department of Mathematical Information Technology, University of Jyväskylä. From December 2013, he has taken the professor position in the Department of Biomedical Engineering in the Dalian University of Technology at Dalian in China. Since 2018, he has taken the position of Director of International Office of Dalian University of Technology.
PhD student. Aix-Marseille Université. France
Interests: Digital Signal Processing. Neuroimaging. Neurophysiology. Neurological Diseases. Electrophysiology. Brain. Signal Analysis. Neurology. Epilepsy. Clinical Neurophysiology. Time-Frequency.
Giorgio Di Lorenzo
Associate Professor, University of Rome “Tor Vergata”, Rome, Italy
Research interests: disorganization and cognitive impairment in schizophrenia: New insights from electrophysiological findings(Mar 2019) Supplementary Material(Feb 2019) Assessing Learning Needs and Career Attitudes of Italian Psychiatry Residents: Results from a National Survey Conducted by the Italian Society of Psychopathology Young Psychiatrists Section (SOPSI-GG) (Feb 2019) Psychological and Brain Connectivity Changes Following Trauma-Focused CBT and EMDR Treatment in Single-Episode PTSD Patients (Feb 2019) Body image dissatisfaction in individuals with obesity seeking bariatric surgery: exploring the burden of new mediating factors(Jan 2019)
Giulia Maria Giordano
Ricercatore, University of Campania “Luigi Vanvitelli”, Naples, Italy
Research interests: abnormalities of brain connectivity within cortico-striatal circuits and their association with negative symptoms in schizophrenia.
Associate professor, Drexel University, USA
Dr. Hasan Ayaz is an Associate Professor at Drexel University, School of Biomedical Engineering, Science and Health Systems, Philadelphia, PA and in the Department of Psychology at the Drexel University College of Arts and Sciences, a core member of the Cognitive Neuroengineering and Quantitative Experimental Research Collaborative and with affiliations at the University of Pennsylvania and the Children’s Hospital of Philadelphia. He received his BSc. in Electrical and Electronics Engineering at Boğaziçi University, Istanbul, Türkiye with high honors and MSc. and PhD degrees from Drexel University where he developed enabling software for functional Near Infrared Spectroscopy based brain monitoring and FDA approved medical devices. His research interests include neuroengineering in human computer interaction and neuroergonomics, as well as clinical and field applications of optical brain imaging.
Professor. Sichuan University. China
Huajin Tang is currently a Professor with the College of Computer Science, Sichuan University, Chengdu, China. He has authored one monograph (Springer-Verlag, 2007) and over 30 international journal papers. His current research interests include neuromorphic computing, neuromorphic cognitive systems, neuro-cognitive robots, and machine learning. Dr. Tang serves as an Associate Editor of the IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, Associate Editor of IEEE Transactions on Cognitive and Developmental Systems， and Editorial Board Member of Frontiers in Robotics and AI.
Professor, Southwest University, China
Dr. Jiajin Yuan is currently a full professor of psychology in Southwest University, and a principal investigator in the key laboratory of personality and cognition of Ministry of Education(SWU). His research focuses on the influence factors of humans ' emotional susceptibility, emotion regulation and impulsivity control in healthy and psychopathological populations, using peripheral physiological, EEG and Neuroimaging methods.
Professor, Jinan University, Guangzhou, China.
Dr. Jinyi Long received his Ph.D. from the Center of Brain Computer Interface and Brain Information Processing at South China University of Technology. He is currently a full professor in the College of Information Science and Technology at Jinan University. Dr. Long's research focuses on intelligent human-computer interaction and its application for the motor rehabilitation.
Professor, Shanghai Jiao Tong University, China
Dr. Jijun Wang is Professor of Psychiatry, PI, Shanghai Key Laboratory of Psychotic Disorders, Director of Department of EEG & Neuroimaging, Shanghai Mental Health Center, Shanghai Jiaotong University School of Medicine.
Dr. Jijun Wang has actively pursued research in the fields of the neurobiological basis and early intervention in early course schizophrenia, for 20+ years. Dr. Jijun Wang haa applied neuroimaging techniques in studying first episode schizophrenia and those at clinical high risk for psychosis (CHR). He is interested in detection and prevention of prodrome (“clinical high risk”) syndrome of psychosis. From 2011, his team is working closely with Several PIs (including Larry Seidman, Robert McCarley, William S. Stone, Huijun Li, etc) in Beth Israel Deaconess Medical Center (BIDMC) in Boston, has established Shanghai At Risk for Psychosis (SHARP) cohort, following the methodology of NAPLS. He is Shanghai PI (multiple PI model, William S. Stone, Margaret A. Niznikiewicz, Li, Wang) of current ongoing R01 “A Psychobiological Follow-up Study of Transition from Prodrome to Early Psychosis (1 R01 MH111448-01)”. In addition, he is very interested in exploring the value of neuromodulation in the neuropsychiatric disorders.
Jiří HoráčekProfessor. Psychiatry at the 3rd Faculty of Medicine, Charles University, Prague, Czech Republic
Senior Scientist at the Institute for Electrical and Biomedical Engineering (IEBE), UMIT - Private University for Health Sciences, Medical Informatics and Technology, Hall in Tirol, Austria
Johannes Vorwerk received the M.Sc. degree in mathematics with a minor in physics from the University of Münster, Münster, Germany, in 2011 and the PhD degree in Mathematics from the University of Münster in 2016. He joined the Scientific Computing and Imaging (SCI) Institute at the University of Utah, Salt Lake City, USA as a Postdoctoral Fellow in 2016. Currently, he works as a senior scientist at the UMIT - Private University for Health Sciences, Medical Informatics and Technology in Hall in Tirol, Austria. His research interests include EEG/MEG source localization, NIBS, and DBS optimization.
Associate Professor. Shanghai Jiao Tong University. China
Junfeng Sun, PhD, is an Associate Professor of biomedical engineering at School of Biomedical Engineering, Shanghai Jiao Tong University. He is IEEE Senior Member, Associate Editor of Medical and Biological Engineering and Computing (2018- ), Guest Editor of BMC Neuroscience, and referees for more than 30 international journals. His research interests include neuromodulation techniques, neuroimaging analysis, and their applications in mental disorders and brain cognitive function.
Assistant Researcher. University of California, San Francisco.
Kais Gadhoumi is an Assistant Researcher and Associate Director at the Hu laboratory in the department of physiological nursing of the University of California San Francisco (UCSF). His current interests broadly include digital health and precision medicine, more specifically the application of artificial intelligence and advanced signal processing in predictive healthcare analytics. Before joining UCSF, Kais was the co-founder and head of Analytics at Stratuscent Inc., a Montreal based start-up developing next-generation intelligent chemical sensors and scent recognition platforms. He previously worked in telecommunication industry where he held different positions as software and system designer, technical lead and software architect. Kais has a PhD in biomedical engineering from McGill University and a master’s in electrical engineering from the University of Sherbrooke. He is a member of numerous scientific societies in US and Canada and recipient of many academic and professional awards.
Doctor. Max Planck Institute for Human Cognitive and Brain Sciences. Germany.
Dr.-Ing. Konstantin Weise was born in Leipzig, Germany, in 1986. He received the B.Eng. degree in electrical engineering from the University of Applied Science Leipzig, Germany, in 2009, and the M.Sc. degree in electrical engineering from the Technische Universität Ilmenau, Germany, in 2012 where he also received his Dr.-Ing. degree in 2016. In his dissertation, he developed new numerical techniques to tackle advanced problems in Lorentz force eddy current testing. He is currently working towards his habilitation degree at the Max Planck Institute for Human Cognitive and Brain Sciences Leipzig, Germany, in the field of noninvasive brain stimulation and uncertainty analysis.
Uncertainty and sensitivity analysis of coupled systems consisting of an electromagnetic field array and a dynamic nonlinear network by spectral methods.
Localizing and describing the effects of Transcranial Magnetic Stimulation combining behavioural data with numerical simulations.
Associate Professor, Sapienza University of Rome, Italy
Research interests: Brain connectivity, complex networks, neuroelectrical hyperscanning
Research Experience: Laura Astolfi received her Master Degree in Electronic Engineering from University of Rome Sapienza and her PhD in Biomedical Engineering from University of Bologna Alma Mater Studiorum. Currently, she is an Associate Professor at the Department of Computer, Control, and Management Engineering at Sapienza University of Rome and a Researcher at Fondazione Santa Lucia Hospital, Rome, Italy. She is Associate Editor of the IEEE Transactions on Biomedical Engineering, of Brain Topography and of Medical & Biological Engineering & Computing. She is Fellow of the European Alliance for Medical and Biological Engineering Sciences (EAMBES), member of the Administrative Committee of the IEEE Society of Engineering in Medicine and Biology (EMBS) and Member of the Scientific Board of the International Society for Brain Electromagenetic Topography (ISBET).
Researcher. University of Lorraine. France
Laurent Koessler is a biomedical engineer and obtained a Phd in Neurosciences from Lorraine University (FRANCE). He is a researcher (biomedical engineering and neuroimaging) in the French National Center for Scientific Research (CNRS). And he works in Nancy (FRANCE) in a joint research unit of CNRS and Lorraine University (CRAN, UMR7039) and especially in a group entitled "Neurosciences des Systèmes et de la Cognition" (web).He is co-leader of the Lorraine Neuroscience Group (100 members, 21 labs) from the Lorraine University. (decision)
Associate Research Fellow, University of Electronic Science and Technology of China, China
Li Dong received the Bachelor of Science in Mathematics and Applied Mathematics from Beijing Institute of Technology in 2009, and the Ph.D. degree in Biomedical Engineering from University of Electronic Science and Technology of China in 2016. From 2017 to as yet, he is current working in the key laboratory for NeuroInformation of Ministry of Education, University of Electronic Science and Technology of China as an associate research fellow. His current researches are methods and computing platform (including data mining, multimodal fusion etc. http://webrain.uestc.edu.cn/) of brain function analysis using EEG and functional magnetic resonance imaging (fMRI). The principal interests contain functional connectivity and spatio-temporal features of the brain function, brain network and big data analysis. As the first author, he has published about 10 peer reviewed papers in journals, and Google Scholar H-index is 13.
Assistant Professor, Tufts University, USA
Research Experience: Liping Liu, who earned his doctorate at Oregon State University, is interested in probabilistic modeling, classification, and clustering within machine learning. He also applies these machine learning techniques to ecology studies. Liu previously held the position of postdoctoral associate at Columbia University, working with David Blei on aspects of machine learning, and worked on commercial data analysis for IBM T.J. Watson Research. He is a reviewer for several conferences and journals on machine learning.
Postdoctoral fellow. University of Geneva. Switzerland
Lucie Brechet is currently a Postdoctoral Fellow in the Functional Brain Mapping Laboratory at the University of Geneva. Her projects focus on altered states of consciousness using high-density EEG. She has recently finished my PhD in Cognitive Neuroscience at the école Polytechnique Fédérale de Lausanne. Her PhD work was embedded in the neuroscience research of human episodic autobiographical memory and established links with bodily self-consciousness using VR technology. In the second part of my PhD, they studied the spatiotemporal dynamics of brain activity with high-resolution 7-Tesla fMRI and high-density EEG. During her MSc project at University of Geneva, they investigated the neural correlates of the cortisol synthesis inhibition on emotional episodic memory retrieval using fMRI and EEG.
|Maria Carla Piastra|
Postdoc, Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
Research interests: Volume Conduction Modeling, (i)EEG, MEG, Numerical Methods for solving Partial Differential Equations in Neuroscience
Research Program Leader, National Institute of Mental Health | NUDZ, USA
Head of Department at National Institute of Mental Health, Czech Republic(Jan 2015)Applied Brain Electrophysiology.Head of EEG and Sleep laboratory at Prague Psychiatric Center.( Oct 1999 - Dec 2014).His main researches includes: SPSS , Microsoft Office , Sleep Disorders , Evoked Potentials , Sleep , REM , StatSoft Statistica , LORETA , quantitative electroencephalography (QEEG) , WaveFinder , Neuroguide etc. , Adobe product family.His recent research include: Role of Glutamatergic System in Obsessive-Compulsive Disorder with Possible Therapeutic Implications(Nov 2018) EEG correlates of induced anxiety in obsessive–compulsive patients: Comparison of autobiographical and general anxiety scenarios(Aug 2018) Prefrontal theta cordance in the prediction of antidepressant response to various classes of antidepressants in patients with depressive disorder(Apr 2017).
PostDoctor. University of Geneva. Switzerland
Interests: EEG, Neuroimaging and Systems Neuroscience
Senior University Lecturer. Aalto University. Finland
Interests: bioelectromagnetism, forward problem, inverse problem and boundary element method.
Professor, University of Electronic Science and Technology of China, China
Research interests: Methodology for EEG analysis, Brain computer interface, biologically inspired artificial intelligence
Research Experience: Dr. Xu received his Ph.D. degree from the University Electronic Science and Technology of China (UESTC) in 2006. He performed his post-doctoral training in UCLA from 2007 to 2009. He joined UESTC in 2009 as associate professor, and becomes professor in 2014. He has published more than 80 journal papers, and is the PI of several fundings.
Senior Physician and Researcher, University Zurich, Ch Clinic for Psychiatry (PUK). Swizerland
Research Experience: Senior Psychiatrist; Researcher at University of Zurich(Mar 2015) ,his main research is Klinik für Psychiatrie und Psychotherapie,Senior Physician and Researcher at University of Leipzig(Mar 2015 - Mar 2015), main research is Faculty of Medicine. University of Leipzig, main research is Mental Health(Feb 2007 - Dec 2012).His research fields include Pattern Recognition , Neuroimaging , Neuroscience , Artificial Intelligence Pharmacology , Artificial Neural Networks , Brain , Signal Analysis , EEG , Neural Networks Psychotherapy ,Psychiatry , Programming Languages , Deep Learning , EEG Signal Processing Functional Connectivity , Medical Neurosciences , Heart Rate Variability , Computational Neuroscience , Brain Computer Interfaces , Brain Dynamics , Vigilance.His recent research include: Exposure and response prevention therapy augmented with naltrexone in kleptomania: A controlled case study using galvanic skin response for monitoring,( Mar 2019) Predicting sex from brain rhythms with deep learning(Dec 2018).
Professor, Shanghai Jiao Tong University, China.
Research Experience: Dr. Shanbao Tong currently is a professor of biomedical engineering in Shanghai Jiao Tong University，China. He received the BSc degree in radio technology from Xi’an Jiao Tong University, Xi’an, China, in 1995, the MSc degree in turbine machine engineering, and the Ph.D. degree in biomedical engineering from Shanghai Jiao Tong University, Shanghai, China, in 1998 and 2002, respectively. From 2000 to 2001, he was a Research Trainee in the Biomedical Instrumentation Laboratory, Biomedical Engineering Department, Johns Hopkins School of Medicine, Baltimore MD, USA. He was a Postdoctoral Research Fellow in the Biomedical Engineering Department, Johns Hopkins School of Medicine from 2002 to 2005. His research interests include neural signal processing, neurophysiology of brain injury, optical neurovascular imaging, and transcranial ultrasound. He is the founding chairs of the IEEE EMBS Shanghai Chapter and the IEEE EMBS international summer school on neural engineering (ISSNE). Dr. Tong is also an active Associate Editor of IEEE Transactions on Biomedical Engineering, IEEE Transactions on Neural Systems and Rehabilitation Engineering, Deputy Editor of Medical & Biological Engineering & Computing, Section Editor (Neuroengineering) of BMC Neuroscience. Dr. Tong was the Chair of the 8th IEEE EMBS international conference of Neural Engineering (NER17).
Doctoral researcher. Kansai Medical University. Japan
Interests: Neuroimaging. Neurophysiology. Electrophysiology. Brain. Brain Imaging. Functional Neuroimaging. Event-Related Potentials. Brain Connectivity. Psychophysiology. Epilepsy. Functional Connectivity. Eeg-Coherence. EEG/MEG
Associate professor, Department of Cognitive Neuroscience, Donders Institute for Brain, Cognition and Behaviour, Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands
Research interests: bio-electricity, volume conductor modelling, forward and inverse problem in heart and brain, electrical stimulation of brain and heart.
Research experience: Thom Oostendorp has been working in the field of bio-electricity since 1984. His PhD thesis in 1989 was on fetal ECG. Since then, he has has been involved in developing inverse methods for EEG, MEG and ECG, as well as methods to optimize electric stimulation. Currently, he is leading the Neurophysics group within the Donders Institute for Brain, Cognition and Behaviour.
Professor. Max Planck Institute for Human Cognitive and Brain Sciences. Germany.
Research Interests: Mathematical modeling of neuronal networks, with focus on mean field models. Biophysical modeling of EEG and MEG, with focus on source reconstruction. Reconstruction of fiber connections in the brain using diffusion MRI. Neurocognition of music, language and memory.
Professor, University Hospital of Psychiatry, University of Bern, Switzerland
Thomas Koenig is by training a biologist and made his first steps into the world of EEG under the guidance of Dietrich Lehmann, who supported his interest into the "mechanics" of brain information integration, into the nature of the relationship of these processes to subjective experience, and for the development of the therefore necessary technical and methodological means. He is currently an associated professor for Psychiatric Neurophysiology at the University Hospital of Psychiatry in Bern, has numerous publications in the domain of EEG, and has developed several open-source toolboxes for the analysis of EEG and ERP data.
Postdoctoral Fellow. Technische Universität Ilmenau. Germany.
Interests: Medical signal and image processing. Spatial analysis of EEG data. Compressed Sensing
Professor, University of California, San Francisco
Research Interests: His research program’s goal is to innovate intelligent informatics systems to enhance healthcare professionals’ ability in utilizing Big Clinical Data to achieve more precise assessment and anticipation of patient state changes. His team’s core expertise lies in various physiological signal modeling and processing and developing machine learning models. His projects are interdisciplinary in nature. They are keen in learning new clinical/physiological problems that can be approached using their core engineering expertise. They are capable of developing and validating prototypes of intelligent systems equipped with their algorithms. Their current projects cover problems derived from neurocritical care and neurosurgical care of patients as well as from general in-hospital patient monitoring.
Professor. Beijing Normal University. China
Xiaoli Lireceived the B.S.E. and M.S.E. degrees from Kun-ming University of Science and Technology, and the Ph.D degree from Harbin Institute of Technology, China, in 1992, 1995, and 1997, respectively, all in mechanical engineering. From April 1998 to Oct. 2003, he was a Research Fellow of the Department of Manufacturing Engineering, City University of Hong Kong, of the Alexander von Humboldt Foundation at the Institute for Production Engineering and Machine Tools, Hannover University, Germany, a Post doc fellow at the Dept. of Automation & Computer – Aided Engg, Chinese University of Hong Kong. From 2003 to 2009, he was a Research fellow in Cercia, School of Computer Science, The University of Birmingham, UK.
In 2007, he was appointed as professor and head of Department of Automation, at the Institute of Electrical Engineering, Yanshan University. China. Since 2011,he has been appointed as a full professor and vice director in the National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University, China. His main areas of research: Neural Engineering, Computational intelligence, Signal processing and Data analysis, Monitoring system, Manufacturing system. Current research projects include National Science Fund for Distinguished Young Scholars, National Natural Science Foundation.
Assistant Professor, The University of Hong Kong, China
Dr. Hu Xiaoqing is currently an Assistant Professor in the Department of Psychology, and a Principal Investigator in the State Key Laboratory of Brain and Cognitive Sciences, The University of Hong Kong. He obtained his Ph.D. in Brain, Behavior and Cognition (2014) from Department of Psychology, Northwestern University, and he was a Post-doc Research Fellow at the Department of Psychology, University of Texas at Austin (2014-2016). His research focuses on the self-regulation of impulses, memories and social biases.
Postdoctoral researcher. University of California, San Francisco
Xiuyun Liu is a postdoctoral researcher in the Department of physiology nursing, University of California, San Francisco (UCSF), USA. I undertook my PhD in the Division of Neurosurgery, Department of Clinical Neurosciences, University of Cambridge, UK. I am interested in clinical data analysis, especially cerebral autoregulation assessment, Transcrannial Doppler studies. My research is related with treatment of traumatic brain injury patient.
Research Interest: Clinical data analysis, especially cerebral autoregulation assessment, Transcrannial Doppler studies.
Professor. Southwest University. China
Research interests include memory consolidation during sleep; emotion regulation after sleep deprivation; brain networks associated with sleep disorders; data-driven EEG/fMRI fusion.
Professor, Beijing Normal University, China
Research Experience:Professor and PhD supervisor, National Key Laboratory of Cognitive Neuroscience and Learning, Beijing Normal University. She received a Ph.D. in Biophysics from Institute of Biophysics, Chinese Academy of Sciences in 2003 and a B.A. in biomedical engineering from Capital Medical University in 1997. In 2010, she was a visiting scholar at the University of California (San Diego). The research projects sponsored by the National Natural Science Foundation of China (2007, 2010, 2013) and the Beijing Natural Science Foundation (2007) included the National Key Basic Research Development Plan (2009, 2014), which won the Young Teachers Award of Beijing Normal University and the Beijing Teachers'Talents Award. More than 30 English academic papers have been published. They are reviewers of NeuroImage, Human Brain Mapping, Scientific Reports, Vision Research and other professional academic journals.
Professor, Shanghai University, China
Research Experience: Yingjie Li is a Professor at Shanghai University, the School of Communication and Information Engineering and vice dean of Qianweichang College, senior member in the department of medical neural engineering of Chinese Society of Biomedical Engineering. She has served as co-chair of Shanghai office of IEEE EMBC for years. She received her Ph.D. degree in Biomedical Engineering from Shanghai Jiao Tong University. Her research interests include cognitive neuroscience and clinical diagnosis by assessing the multimodal neural activity, e.g. EEG and ERP, neural modulation by transcranial magnetic stimulation, and biofeedback device for emotion and cognition improvement.
Professor, Zhejiang University, China
Dr. Sun’s research emphasis has been placed on the integration of the neural engineering, cognitive sciences, and neuroergonomics in service of insights into functions of the brain, cognition, and behaviour. In particular, his research work on multimodal brain connectome, passive brain-computer interface, brain state monitoring, and temporal brain network analysis has led to more than 40 journal articles in the prestigious journals and 40 conference proceeding papers. Dr. Sun is a recipient of the Best Poster Award of IEEE LSGCC 2013 and the Best Paper Award Finalist of IEEE NER 2017. Since 2016, he has served as an Associate Editor of the journal Medical & Biological Engineering & Computing.
Professor. Chongqing University. China
Research interests: the general principles of the brain processing information, mechanism of the nervous system processing dynamic information, including working memory, time rhythm, motion prediction.
Professor, Southwest University, China
Yuan Zhang received the M.S. degree in communication systems and the Ph.D. degree in control theory and engineering (Biomedical Engineering) both from Shandong University, China, in 2003 and 2012, respectively. He is currently on the move to join the Southwest University as a tenured Professor. Dr. Zhang was a visiting professor with the Computer Science Department, Georgia State University, USA, in 2014. Dr. Zhang’s research interests include wearable sensing for smart health, machine learning for auxiliary diagnosis, and biomedical big data analytics. As the first author or corresponding author he has published more than 60 peer reviewed papers in international journals and conference proceedings, 1 book chapter, and 6 patents in the areas of Smart Health and Biomedical Big Data Analytics. He has served as Leading Guest Editor for six special issues of IEEE, Elsevier, Springer and InderScience publications, including IEEE Internet of Things Journal special issue on Wearable Sensor Based Big Data Analysis for Smart Health and IEEE Journal of Biomedical and Health Informatics (JBHI) special issue on Pervasive Sensing and Machine Learning for Mental Health. He has served on the technical program committee for numerous international conferences. He is an associate editor for IEEE Access and an Editor for the Elsevier journal Internet of Things. Dr. Zhang is a Senior Member of IEEE, ACM, Chinese Association of Biomedical Engineering, and Chinese Association for Artificial Intelligence.
Professor. Capital Normal University. China
Yuehua Pu, MD，works in Neurointensive Care Unit, Neurology Department and Stroke center, Beijing Tiantan Hospital, Capital Medical University. She graduated from Capital Medical University and achieve the doctor’s degree in neurology at 2009. Research Interests includes: Ischemic cerebral vascular disease, Intracranial atherosclerosis, critical care for acute severe stroke, Cerebral blood flow assessment, Multimodality monitoring. She worked in department of Medicine & Therapeutics, Prince of Wales Hospital, Chinese University of Hong Kong as a visiting scholar from 2011.5 to 2011.11 and UCLA stroke center & Neurocritical care unit, David Geffen School of Medicine at UCLA from 2018.07 to 2019.07. She had achieved the first prize of Science and Technology Progress Award of the Ministry of Education and the Beijing Science and Technology Award as one of participants. In November 2015, she entered the Beijing Science and Technology Nova Program. She was supported by two projects of the National Natural Science Foundation of China.
Professor, Center for Brain Disorder and Cognitive Science, Shenzhen University, China
Professor Luo has received awards of National Science Fund for Distinguished Young Scholars, the New Century National Hundred, the special government allowances from the State Council, the One-Hundred Person Project of Chinese Academy of Sciences, Shenzhen National Leading Person, etc. He had previously served as Dean of School of Brain and Cognitive Sciences at Beijing Normal University (2009-2013), and Director of the State Key Laboratory of Cognitive Neuroscience and Learning (2005-2011) and of the Key Laboratory of Mental Health at Chinese Academy of Sciences (2002-2005). He earned his PhD degree at the Institute of Psychology, The Chinese Academy of Sciences in 1997. His research has been focusing on understanding the neural mechanisms of emotion and social cognition using neuroimaging methods. His research achievements includes: 1) Establishment of the Chinese Affective Information System (CAIS), including Chinese Affective Face Picture System (CAFPS), Chinese Affective Digital Sound System (CADS), Chinese Affective Picture System (CEPS) and Chinese Emotional Video System (CEVS); 2) Putting forward the model of three stages of emotional face processing; 3) Investigation on the psychological and social characteristics in Chinese population when they are judging a genuine or false smile in the field of social cognition; 4) Investigation on the neural mechanisms and treatments of emotional disorders and emotion-related cognitive disorders from multiple perspectives. He has published more than 400 papers and received more than 10 prizes.
Professor South China Normal University. China
Perceptual learning and memory, attention and awareness, cognitive aging and brain plasticity.
Full Professor, Xi'an Jiao Tong University, China
Research Interests: Complex Systems Science; Neuroinformatics and Its Applications; Neural Computing and Neuromodulation
Positions: Mathematical Biosciences and Engineering (MBE) (subeditor); J. Infect. Dis. Immun. (JIDI) (Editorial Board); International Journal of Neuroinformatics (IJNN) (Editorial Board).
PhD, ElMindA Research Herzliya, Israel.
Research Interests: His recent project is Resting-state connectivity biomarkers define neurophysiological subtypes of depression.His recent research include: Utilizing the brain network activation (BNA) technology for transcranial magnetic stimulation treatment management in depression(Nov 2018).Improved Back-Projection Cortical Potential Imaging by Multi-resolution Optimization Technique (Aug 2018) P 136 Brain network analysis of EEG data in the service of clinical assessment – utilizing big data and prior theoretical knowledge to identify a biomarker for mTBI in adolscents(Oct 2017)
Professor, Sun Yat-Sen University. China
Interests: Cognitive psychology, biopsychology, cognitive neuroscience, EEG, ERP
Professor, University of Macau, China.
Position: Prof. Yuan is an associate professor with the Faculty of Health Sciences/Center for Cognition and Brain Sciences at University of Macau (UM).
Research Experience:Before joined UM, he had worked as an assistant professor with the Arizona State University and research assistant professor in Biomedical Engineering Dept. with the University of Florida. His academic investigation is focused on cutting-edge research and development in laser, ultrasound and EEG/fMRI-related biomedical technologies as well as their clinical/pre-clinical applications in neuroimaging and neurosciences, and molecular imaging and cancer. He has achieved national and international recognition through more than 150 SCI publications in high ranked journals in his field. He is the editorial board member of Quantitative Imaging in Medicine and Surgery, associate editor of BMC Medical Imaging, and associate editor of Frontiers in Human Neuroscience. He is a senior member of OSA and senior member of SPIE.
Professor. South China University of Technology. China
Zhu Liang Yu (M’06) received the B.S.E.E. and M.S.E.E. degrees in electronic engineering from the Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 1995 and 1998, respectively, and the Ph.D. degree from Nanyang Technological University, Singapore, in 2006.,In 2000, he joined the Center for Signal Processing, Nanyang Technological University, as a Research Engineer, where he has been a Group Leader since 2001. In 2008, he joined the College of Automation Science and Engineering, South China University of Technology, Guangzhou, China, where he became a Full Professor in 2010. His current research interests include signal processing, machine learning, and their applications in biomedical engineering and intelligent robotics.