Program:

       BaCI2019_Program (Final)


Keynotes speakers:

Name

Topic

 Claudio Babiloni

 Cortical sources of resting state EEG rhythms unveil different abnormalities in neurophysiologic mechanisms of vigilance in Alzheimer's and Lewy Body diseases

 Dezhong Yao

 Update qEEG: where should we go?

 Geertjan Huiskamp

 Single Pulse Electrical Stimulation to probe cortex in epilepsy patients

 Guido Nolte

 What we can learn from mathematical relations between coupling measures to estimate brain connectivity from electrophysiological data

 Jens Haueisen

 Dry electrodes for electroencephalography

 Pedro Valdes-Sosa

 Advances in the estimation of EEG/MEG source connectivity

 Peter Robinson

 Relating brain measurements to structure and activity via modeling

 Shangkai Gao

 Current Advances in Brain-Computer Interfaces



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Claudio Babiloni

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).



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Dezhong Yao

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)




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Geertjan Huiskamp

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.

 

 


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Guido Nolte

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

 

 


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Jens Haueisen

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.

 

 


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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.

 

 


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Peter Robinson

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.

 

 


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Shangkai Gao


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.

 

 



Symposia speakers:


image.pngAlexander Hunold

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.

 

 


Armida Mucci

Professor, University of Campania“Luigi Vanvitelli”. Italy


Research interests Italian Network for Research in Psychoses StudyApr 2019Disorganization and cognitive impairment   in schizophrenia: New insights from electrophysiological findingsMar 2019Disorganization and cognitive   impairment in schizophrenia: New insights from electrophysiological   findings(Jan2019)Neuroimaging and Psychopathological Domains: Achievements   and Perspectives(Jan 2019)

 

 


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Benjamin Becker

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

 

 


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Benyan Luo

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.

 

 


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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). 



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Christian Benar

Postdoctor, Aix-Marseille Université, France


Research interestsStatistical   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.

 

 


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Christoph Michel

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.

 

 


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Chunliang Feng

South China Normal University, China


Dr Chunliang Feng is interested in social neuroscience, decision making, oxytocin and vasopressin.





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Daqing Guo

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

 

 


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Fang Cui

Associate professor, Shenzhen University, China


Dr Fang Cui does research in social neuroscience, and is interested in empathy, moral perception and social decision making.




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Fengyu Cong

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.

 


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Francesca Pizzo

PhD student. Aix-Marseille Université. France


Interests: Digital Signal Processing. Neuroimaging. Neurophysiology. Neurological Diseases. Electrophysiology. Brain. Signal Analysis. Neurology. Epilepsy. Clinical Neurophysiology. Time-Frequency.

 


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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)

 

 


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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.

 

 


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Hasan Ayaz

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.



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Huajin Tang

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.


 


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Jiajin Yuan

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.



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Jinyi Long

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.



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Jijun Wang

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.

 

 


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Jiří Horáček

Professor. Psychiatry at the 3rd Faculty of Medicine, Charles University, Prague, Czech Republic


Prof. Jiří Horáček has been actively involved in 40 scientific research projects. His research activities involve the use of brain imaging (PET, fMRI and qEEG) in the fields of schizophrenia, depression and OCD, psychiatric genetics and the animal modeling of mental disorders. He is both the editor of several books and the author of more than 100 scientific articles. Prof. Jiří Horáček has received several national and international psychiatric awards from the International Pharmaco-EEG Society (Werner Hermann Memorial Award), the Czech Neuropsychopharmacological Society and ECNS-ISNIP.  In his productive career he has been awarded the Senior Research Fellow of the Bedfordshire CMHR in associatin with the University of Cambridge.

 

 


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Johannes Vorwerk

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.



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Junfeng Sun

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.



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Kais Gadhoumi

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.

 


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Konstantin Weise

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.

Research interests:

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.



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Laura Astolfi

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).

 

 


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Laurent Koessler

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)


 


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Li Dong

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.

 


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Liping Liu

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.

 

 


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Lucie Brechet

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.


 


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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

 


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Martin Brunovsky

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).

 

 


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Martin Seeber

PostDoctor. University of Geneva. Switzerland


Interests: EEG, Neuroimaging and Systems Neuroscience

 



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Matti Stenroos

Senior University Lecturer. Aalto University. Finland


Interests: bioelectromagnetism, forward problem, inverse problem and boundary element method.


 


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Peng Xu

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.

 


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Sebastian Olbrich

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).

 

 


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Shanbao Tong

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).

 

 


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Shunichiro Ikeda

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

 

 


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Thom Oostendorp

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.



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Thomas Knösche

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.



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Thomas Koenig

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.




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Uwe Graichen

Postdoctoral Fellow. Technische Universität Ilmenau. Germany.

 

Interests: Medical signal and image processing. Spatial analysis of EEG data. Compressed Sensing



 


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Xiao Hu

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.

 

 


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Xiaoli Li

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.


 


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Xiaoqing Hu

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.

 

 


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Xiuyun Liu

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.


 


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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.




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Yan Song

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.

 

 


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Yingjie Li

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.



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Yu Sun

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.

 


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Yuanyuan Mi

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.


 

 


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Yuan Zhang

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.



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Yuehua Pu

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.



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YueJia Luo

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.



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Yulong Ding

Professor South China Normal University. China


Research interests:

Perceptual learning and memory, attention and awareness, cognitive aging and brain plasticity. 


 



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Zigang Huang

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).

 

 


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Ziv Peremen

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)

 

 


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Zhe Qu

Professor, Sun Yat-Sen University. China


Interests: Cognitive psychology, biopsychology, cognitive neuroscience, EEG, ERP

 



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Zhen Yuan

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.

 



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Zhuliang Yu

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.