Board Expertise

Hojjat Adeli, Ph.D.

Abba G. Lichtenstein Professor of Civil Engineering
Civil & Environmental Engineering & Geodetic Science
470 Hitchcock Hall
2070 Neil Avenue, Columbus, OH 43210
adeli.1@osu.edu
Telephone: 614-292-7929
Fax: 614-292-3780

Dr. Adeli is a Professor of Civil and Environmental Engineering and Geodetic Science, Aerospace Engineering, Biomedical Engineering, Biomedical Informatics, Electrical and Computer Engineering, Neuroscience, and Neurological Surgery at The Ohio State University. He has authored over 430 research and scientific publications in various fields of computer science, engineering, and applied mathematics since 1976 when he received his Ph.D. from Stanford University at the age of 26. He is the Founder and Editor-in-Chief of the international research journals Computer-Aided Civil and Infrastructure Engineering and Integrated Computer-Aided Engineering. He is also the Editor-in-Chief of International Journal of Neural Systems. He is the quadruple winner of The Ohio State University Lumley Outstanding Research Award. In 1998 he received The Ohio State University’s highest research honor, the Distinguished Scholar Award in recognition of extraordinary accomplishment in research and scholarship. In 2005 he was elected Distinguished Member of American Society of Civil Engineers for wide-ranging, exceptional, and pioneering contributions to computing in civil engineering and extraordinary leadership in advancing the use of computing and information technologies in many engineering disciplines throughout the world. In 2007 he received The Ohio State University Peter L. and Clara M. Scott Award for Excellence in Engineering Education and Charles E. MacQuigg Outstanding Teaching Award. In 2008 he was elected Fellow of the American Association for the Advancement of Science. He has been a Keynote Lecturer at 74 research conferences held in 40 different countries.

Richard Andersen, Ph.D.

James G. Boswell Professor of Neuroscience
Division of Biology 216-76
California Institute of Technology, Pasadena, CA 91125
andersen@vis.caltech.edu

Dr. Andersen’s laboratory examines the neural basis of higher cognitive functions including perception, attention, decision making, intention and awareness. They have approached these problems by studying the posterior parietal cortex of primates using neurophysiological, psychophysical, anatomical, functional magnetic resonance imaging, and theoretical techniques. From the sensory side the laboratory has primarily studied vision, although more recently they have been examining how other sensory modalities, including hearing, proprioception and balance, are integrated with vision. From the motor side they have studied the sensory guidance of both eye movements and limb movements, and the use of cortical activity for controlling neural prosthetics for assisting paralyzed patients.

Fabio Babiloni, Ph.D.

Associate Professor of Physiology
Associate Editor of Clinical Neurophysiology
Associate Editor of International Journal of Bioelectromagnetism
University of Rome “La Sapienza”, P.le A. Moro 500185, Rome, Italy
fabio.babiloni@uniroma1.it
Phone: +39-06-49910317
Fax: +39-06-49910917

Dr. Babiloni’s research interests include high resolution EEG, multimodal integration of EEG, MEG and fMRI data, and brain computer interface. Dr. Fabio Babiloni investigated the techniques needed to improve greatly the spatial details of the brain activity as obtained by scalp EEG recordings. The original scientific contributions of dr. Fabio Babiloni in the field of the high resolution EEG are related to the study of methods to improve greatly the spatial distribution of the acquired EEG signals, usually blurred and distorted by the action of the head as volume conductor. Dr. Babiloni also studies possible methods for the multimodal integration of data from different brain imaging modalities. Another area of interest is the study of possible methods for the estimation of cortical connectivity, i.e. the estimation of how the single cortical areas can be functionally linked one to the others during particular time period of a task. Dr. Babiloni investigates this issue with the use of several methods, some of them only used in the fMRI field and now adapted by dr. Babiloni also in the field of EEG and MEG. More recently, Dr. Babiloni has initiated the study of possible methods to recognize imagined mental activity by using the non invasive EEG electrodes.

Theodore W. Berger, Ph.D.

David Packard Professor of Engineering
Professor of Biomedical Engineering and Neuroscience
Director, Center for Neural Engineering
Department of Biomedical Engineering
500 Olin Hall, University of Southern California, Los Angeles, CA 90089-1451
Phone: 213-740-9360
Fax: 213-740-0343
berger@bmsr.usc.edu
http://viterbi.usc.edu/

The research of Dr. Berger involves the complementary use of experimental and theoretical approaches to developing biologically constrained mathematical models of mammalian neural systems. The focus of the majority of current research is the hippocampus, a neural system essential for learning and memory functions. The goal of this research is to address three general issues: (1) the relation between cellular/molecular processes, systems-level functions, and learned behavior; (2) the extent of which the functional dynamics of neural systems are altered by activity-dependent synaptic plasticity; (3) the extent to which the essential functions of a neural system can be incorporated within a hardware representation (e.g., VLSI circuitry). Experimental studies involve the use of extracellular, intracellular, and whole-cell electrophysiological recording techniques, applied in vivo using anesthetized and chronically implanted animals, and in vitro using hippocampal slice preparations. These and other experimental studies are used in conjunction with several different theoretical approaches to develop models of: (1) the nonlinear, input/output properties of single hippocampal neurons and circuits composed of several populations of hippocampal neurons, (2) the hierarchical relationship between synaptic and neuronal events, (3) the kinetic properties of glutamatergic receptor subtypes, and (4) adaptive properties expressed by the “hippocampal-like” neural networks.

Anastasios Bezerianos, Ph.D.

Dept. of Medical Physics, School of Medicine
University of Patras, GR 26500 PATRAS, Greece
Phone:+30 -2610-996115
Fax:+30-2610-992496
bezer@patreas.upatras.gr
http://biosignal.med.upatras.gr

Prof. A. G. Bezerianos heads the Biosignal Processing Group, one of the five groups of Medical Physics Department at the Medical School in Patras, Greece. The group is engaged in research and teaching in both undergraduate and postgraduate levels and participates in national, European Union and international research and development projects. His research interests are analysis of biological time series, information measures of brain injury, modeling biological systems, and bioinformatics.

Emery N. Brown, M.D., Ph.D.

Professor of Computational Neuroscience and Health Sciences and Technology
Department of Brain and Cognitive Sciences
MIT-Harvard Division of Health Science and Technology
Massachusetts Institute of Technology, 77 Massachusetts Avenue, 46-6079, Cambridge, MA 02139

Associate Professor of Anesthesia
Harvard Medical School
Department of Anesthesia and Critical Care
Massachusetts General Hospital
55 Fruit Street Clinics 3, Boston, MA 02114
Tel: 617 726 7487
Fax: 617 726 8410
brown@neurostat.mgh.harvard.edu

Dr. Brown’s research interests include neural information encoding, adaptive point process models of receptive field plasticity and statistical modeling of functional neural imaging data. The objective of the research is to develop accurate statistical models of individual and ensemble place cell spiking activity. These models are being used to study the dynamics of individual and ensemble place cell representations of spatial information under various behavioral and environmental paradigms. The statistical methods we are developing are based on spatio-temporal point process models of hippocampal place cell spiking activity, parametric maximum likelihood methods, point process adaptive filtering techniques and nonlinear recursive filtering algorithms based on Bayesian statistical theory. In addition, his lab has also begun developing adaptive point process models of spike train activity that seek to track plasticity related changes in neural receptive fields. Another long-term objective of imaging research is to improve the flexibility and rigor of fMRI data analysis strategies using statistically motivated presentation paradigms and data analysis techniques.

Dudley S. Childress, Ph.D.

Professor Emeritus
Northwestern University
Laboratory Location: Rehabilitation Institute of Chicago
345 E. Superior St., Rm. 1441, Chicago, IL 60611-4496
Phone: (312) 238-6500
Fax: (312) 238-6510
d-childress@northwestern.edu

Dudley Childress is Senior Rehabilitation Research Scientist at the Jesse Brown VA Medical Center in Chicago. At Northwestern University he is Professor Emeritus of Physical Medicine and Rehabilitation; Professor Emeritus of Biomedical Engineering; Director Emeritus, Prosthetics Research Laboratory; Director Emeritus Rehabilitation Engineering Research Program; and, Director Emeritus, Prosthetics and Orthotics Education Program. His present research and development activities are concentrated in the areas of: biomechanics, human walking, artificial limbs, ambulation aids, and rehabilitation engineering.

Rory A. Cooper, Ph.D.

Distinguished Professor and FISA/PVA Chairman
Director, Human Engineering Research Laboratories
Rehabilitation Science and Technology
School of Health and Rehabilitation Sciences
University of Pittsburgh
5044 Forbes Tower, Pittsburgh, PA 15260
Office: (412) 383-6590
Lab: (412) 365-4850
rcooper@pitt.edu

Dr. Cooper’s research interests include Rehabilitation engineering, robotics & mechatronics, quality of life technology design, assessment and technology transfer, biomechanics.

Patrick E. Crago, Ph.D.

Allen H. and Constance T.Ford Professor
Chairperson, Biomedical Engineering
Case Western Reserve University
Wickenden Building, Cleveland, OH 44106
Office phone: (216) 368-3977, (216) 368-4063
Fax (216) 368-4969
patrick.crago@case.edu
marlene.siegal AT case.edu

Dr. Crago’s research interests include motor control, neural prostheses, neuromechanics, restoration of motor function, modeling of neuromuscular systems, motor system rehabilitation. Dr. Crago and colleagues design and assess control systems for electrically stimulated muscle to restore motor function in the upper extremity, particularly in individuals with cervical spinal cord injury. Neural prosthesis research has included feedback control systems for hand grasp and release, feedforward control of elbow extension to restore overhead reach, and feedforward coordination of multijoint hand/wrist function. The research involves dynamic muscle and musculoskeletal modeling, real-time signal processing and control, and biomechanical measurement of human performance. Research in motor control focuses on neuromechanics: the integration of a neural controller with the biomechanics being controlled. Detailed models of the mammalian stretch reflex have been developed and compared extensively with experimental findings. In collaboration with others, he has also developed dynamic control models of smooth muscle in aplysia, which have been incorporated into biomechanical models.

Bert de Vries, Ph.D.

GN ReSound & Technical Univ. Eindhoven
Het Eeuwsel 6, 5612-AS Eindhoven, the Netherlands
bdevries@gnresound.com
http://bertdv.nl

Prof. Dr. Bert de Vries is a Principal Scientist at hearing aid manufacturer GN ReSound where he leads the functional unit DSP Research. He is a part-time full Professor in “Personalization of Medical Signal Processing Systems” at Eindhoven University of Technology, the Netherlands. At TU/e, he teaches the course “Adaptive Information Processing” to graduate electrical engineering students. His research interests emcompass signal processing, machine learning and applications to medical engineering problems. Recent work focuses on developing Bayesian machine learning techniques for efficient tuning of a hearing aid algorithm to the specific preferences of the end user.

John Donoghue, Ph.D.

Henry Merritt Wriston Professor and Chair
Dept. Neuroscience Brown University
Director, Brain Science Program
Box 1953, Providence, RI 02912, USA
Phone: 401 863 1054
Fax: 401 863 1074
john_donoghue@brown.edu
Standard Mail Address: Department of Neuroscience, Brown Medical School, Box 1953, Providence, RI 02912

Dr. Donoghue’s lab investigates how the brain turns thought into action. At the core of this problem is understanding how large populations of neurons represent complex information. More specfically, his lab uses novel multielectrode recording arrays and fMRI techniques to examine ways that populations of cerebral cortical neurons acquire and code information related to planning and enacting voluntary arm movements. His laboratory works closely with several of Brown’s applied mathematicians to develop and test theories of representation and to generate new mathematical tools to examine neural codes. They are also applying the knowledge of neural codes for movement to build prosthetic devices that provide an interface between the brain and the external world for neurologically impaired individuals. His laboratory also examines circuit changes associated with forming new representations at a synaptic level using brain slice preparations, and has discovered specific cortical circuits that change as new skills are learned. He is using this model to explore the rules that govern synaptic plasticity and the molecular processes through which new representations are acquired.

Kevin Englehart, Ph.D.

Professor, Electrical and Computer Engineering
Associate Director, Institute of Biomedical Engineering
University of New Brunswick
Phone: +1 506 458 7020
Fax: +1 506 453 4827
kengleha@unb.ca

Kevin Englehart is the Associate Director of the Institute of Biomedical Engineering, and Professor of Electrical and Computer Engineering at the University of New Brunswick, Canada. He has been a faculty member at UNB since 1998. His research interests include fundamental and applied EMG signal processing and modeling. Dr. Englehart currently leads a team that have developed a sophisticated control system for powered upper limb prostheses. Dr. Englehart has been a consultant with many industrial and government partnerships, which have involved stress monitoring in helicopters, tracking sonar signatures, and speech recognition.Dr. Englehart currently serves as a grant selection committee member in Canada (NSERC), the United States (National Institutes of Health) and Hong Kong (HK Grants Council). He is a member of the International Society of Electrophysiology and Kinesiology, the IEEE Engineering and Medicine and Biology Society, and the Canadian Medical and Biological Engineering Society. He has previously served as conference chair, track chair, and session chair at various conferences.

Shangkai Gao, Ph.D.

Dept. of Biomedical Engineering
School of Medicine
Tsinghua University
Beijing 100084, China
Phone: 8610-62785472
Fax: 8610-62783057
gsk-dea@tsinghua.edu.cn

Prof. Gao’s research interests are in medical signal and image processing, especially in neural signal processing. She and her group members have engaged in EEG signal processing for quite long time, and developed many advanced algorithms for spatio-temporal pattern analyses and identification of brain electric activities. In recent years, the research group has successfully applied the algorithms in EEG based brain-computer interface (BCI) and its applications in rehabilitation engineering. The long-term goal of the research is to develop advanced neural signal processing methods for diagnosis of neural diseases and neural rehabilitation.

Nicholas Hatsopoulos, Ph.D.

Professor of Organismal Biology and Anatomy
Department of Organismal Biology and Anatomy
University of Chicago
Office: Anatomy 202
1029 E. 57th St., Chicago, IL 60637
Phone: 773-702-5594
Fax:773-702-0037
nicho@uchicago.edu

Bin He, Ph.D.

Professor of Biomedical Engineering
Professor of Neuroscience
Professor of Electrical Engineering
Director, Functional Biomedical Imaging and Neuroengineering Laboratory
Department of Biomedical Engineering
University of Minnesota
7-105 Hasselmo Hall, 312 Church Street S.E., Minneapolis, MN 55455
binhe@umn.edu
Office Phone: 612-626-1115
http://www.tc.umn.edu/~binhe

Dr. He’s research interests include functional biomedical imaging, specifically functional imaging of the brain and neural systems, and brain-computer interfacing technology. Dr. He and his colleagues have developed and investigated new imaging methods to achieve high resolution electrophysiological neuroimaging of the brain activity and connectivity from dense array EEG recordings and intracranial electrophysiological measurements. Research is also actively been pursued by Dr. He and his colleagues to investigate the means of integrating hemodynamic neuroimaging such as fMRI and electrophysiological neuroimaging using EEG/MEG, and to develop the ultra-high-resolution magnetoacoustic tomography by integrating biomagnetism with ultrasound. Another major research interest of Dr. He is the development of brain-computer interfacing techniques from noninvasive electrical recordings, aiding patients suffering from neuromuscular disorders. Dr. He has proposed the approach of applying the EEG-based electrophysiological neuroimaging to enhance brain computer interfacing ability by converting the scalp EEG signals onto the virtual intracranial source signals, and been investigating the mechanisms of mental imagery using neuroimaging techniques.

Jiping He, Ph.D.

Professor and Director
Center for Neural Interface Design of the Biodesign Institute
Harrington Department of Bioengineering
ECG334, MS 9709
Arizona State University
Tempe, AZ 85287
Office: 480-965-0092
Fax: 480-965-4292
jiping.he@asu.edu

The research activities are focusing on five key areas: enhancement of the brain-machine interface for motor function rehabilitation after stroke and spinal-cord injury; evolution of integrative spinal cord stimulation and physical therapy to facilitate walking rehabilitation in spinal cord injured patients; development of wearable rehabilitation robots and integrated biofeedback systems; development of multi-functional biosensors for neuroprosthetics; and neuro-and electrophysiological investigation to discover the neural structures and information transfers for movement control and regulation.

Just L. Herder, Ph.D.

Associate Professor of Biomechanical Engineering
Delft University of Technology
Department of Biomechanical Engineering
Mekelweg 2, 2628 CD, Delft, The Netherlands
Phone: +31-15-2784713
Fax: +31-15-2784717
j.l.herder@tudelft.nl

Dr. Herder’s research is aimed at the design of mechanical systems with natural behavior. His approach is to identify clinically relevant problems and develop general technology that helps resolving these problems and also has a more general application potential. General technologies studied are static and dynamic balancing, and underactuated grapsing. Underlying reseach topics include mechanical design, mechanism synthesis, compliant mechanisms, parallel mechanisms, kinematics, robotics, mechatronics, human-machine interaction and biomechanics, while application areas include rehabilitation technology, prosthetics and orthotics, and minimally invasive surgery.

Walter Herzog, Ph.D.

Co-Director Human Performance Lab
Canada Research Chair in Molecular and Cellular Biomechanics
Professor, Faculty of Kinesiology
Associate Dean Research, Kinesiology
Phone: 403-220-8525
Fax: 403-284-3553
walter@kin.ucalgary.ca
http://www.kin.ucalgary.ca/2002/profiles/herzog.asp

Dr. Herzog’s research is focused on the neuro-biomechanics of the musculoskeletal system. Expertise is in the area of growth, healing, and adaptation of soft (ligament, tendon, muscle, and articular cartilage) and hard (bone tissues). Within this area we work experimentally and theoretically on the molecular/cellular, in vitro, in situ, and in vivo level. It also includes cell manipulation and mechanical testing as well as finite element modeling, continuum mechanics, simulations and theories of growth and adaptation. Current research interests of his laboratory may be divided into three basic areas: (i) muscle mechanics, (ii) joint injuries and diseases; and (iii) clinical rehabilitation. The long term goals in muscle mechanics research are to understand the molecular mechanisms of contraction, and to determine the functional role of muscles working in vivo. The focus of the joint biomechanics research is in understanding the in vivo mechanical loading of joints during everyday movements and the adaptive/degenerative responses that this loading might produce. The clinical rehabilitation research is primarily focused on patients with neuro-musculoskeletal injuries and diseases and effective (conservative) treatment strategies.

Neville Hogan, Ph.D.

Professor of Mechanical Engineering
Professor of Brain & Cognitive Sciences
Massachusetts Institute of Technology
(617) 253-2277
neville@mit.edu
http://web.mit.edu/hogan/www/

Dr. Hogan’s interests are in the fields of human performance enhancement technologies, biomechanics and neural control of movement; physical system modeling, design and control. Professor Hogan’s research is broad and multi-disciplinary, extending from biology to engineering.it has made significant contributions to motor neuroscience, rehabilitation engineering and robotics.but its focus converges on an emerging class of machines designed to cooperate physically with humans. Recent work pioneered the creation of robots sufficiently gentle to provide physiotherapy to frail and elderly patients recovering from neurological injury such as stroke, a novel therapy that has already proven its clinical significance.

Bo Hong, Ph.D.

Associate Professor of Biomedical Engineering
Department of Biomedical Engineering, School of Medicine
Tsinghua University, Beijing, 100084, China
Tel: +86-10-62795985
Fax: +86-10-62792416
hongbo@tsinghua.edu.cn
http://neuro.med.tsinghua.edu.cn/~bhong

Dr. Hong’s research is focused on in vivo neural information decoding. At macro scale, his group use scalp/cortical EEG to classify brain states for a direct communication between human brain and computer or other devices, aiming at new type of neural prostheses. Especially, his research emphasizes active (cognitive) brain computer interface paradigms and BCI induced cortical plasticity. While at micro scale, single unit extracellular recording and multi-dimensional data analysis was employed to find the neural code for information representation along the sensory pathway and cortex, especially in the auditory system. For clinical application, the discovered neural information representation rules and neural information decoding technologies are employed to help with the diagnosis and rehabilitation of neural disorders.

Richard D. Jones, Ph.D.

Director, Christchurch Neurotechnology Research Programme
Van der Veer Institute for Parkinson’s and Brain Research & Canterbury District Health Board
Christchurch, New Zealand
Phone: (+64 3) 3786077
Fax: (+64 3) 3786080

Research Associate Professor
Department of Medicine
Christchurch School of Medicine & Health Sciences
University of Otago
Christchurch, New Zealand

Associate Professor
Department of Electrical & Computer Engineering
University of Canterbury
Christchurch, New Zealand
richard.jones@chmeds.ac.nz

Dr Jones’s research focuses on human performance engineering, sensory-motor/oculomotor/cognitive dysfunction in brain disorders, neuro-rehabilitation, wake-sleep continuum, and signal processing in clinical neurophysiology. Ongoing research includes development and application of computerized tests for quantification of upper-limb sensory-motor and cognitive function in brain disorders, prediction of on-road driving ability, prediction of outcome from mild traumatic brain injury, behavioral and physiological detection of drowsiness and microsleeps, and virtual reality approaches to neuro-rehabilitation.

Hermano Igo Krebs

Principal Research Scientist & Lecturer Mechanical Engineering Dept.
Adjunct Assistant Research Professor of Neuroscience
The Winifred Masterson Burke Medical Research Institute
Weill Medical College of Cornell University
Room 3-137 MIT 77 Massachusetts Ave. Cambridge MA 02139-4307 USA
Phone: (617)253-8112
Fax: (617)258-7018
hikrebs@mit.edu

Dr. Kreb’s goal: is to revolutionize the practice of rehabilitation medicine by applying robotics and information technology that can assist, enhance, and quantify rehabilitation — particularly neuro-rehabilitation. The embodiment of this goal is a new class of interactive, user-affectionate clinical devices designed not only for evaluating patients, but also for delivering meaningful therapy via engaging “video games.” The science is the understanding of the neuro-muscular, motor learning, and neuro-recovery processes. The engineering is the design and control of human-machine interfaces in general, and robot-aids for different limbs and body segments in particular.

Todd A. Kuiken, M.D., Ph.D.

Director Amputee Programs, & Associate Dean
Rehabilitation Institute of Chicago
345 E. Superior Street, Chicago, Illinois 60611
Phone: (312) 238-6100
tkuiken@ric.org

Dr. Kuiken’s research interests are in the area prosthetic control systems, using nerve-muscle grafts to obtain additional myoelectric control signal, bioelectromagnetics modeling, prosthetic design, human gait, and care of the amputee. Dr. Kuiken is a practicing Psychiatrist and Director of Amputee Services at the Rehabilitation Institute of Chicago. His clinical interests include care of people with limb loss, amputee pain, phantom limb pain, gait disorders, spinal cord injury, fitting of orthotic devices and patient emotional well being.

Dinesh Kant Kumar, Ph.D.

Associate Professor
Leader of Biosignals
RMIT University
124, Latrobe Street, Melbourne 3000, VICTORIA, AUSTRALIA
dinesh@rmit.edu.au
Phone: +61 3 9925 1954
http://www.set.rmit.edu.au/~e06227/
http://rmit.org.au/browse;ID=1j0eosr7hqo7z

Dr. Dinesh Kant Kumar, PhD in Biosignals, with focus on cerebral palsy, is the founder of the biosignals laboratory at RMIT University, Australia. He is an academic with over 250 publications and 7 patents, and an inventor with a start-up in the space of signal classification. He chairs the Biosignal conference in Brazil, and has received various national and international awards and scholarships for promoting biosignals research in Australia, Europe and Latin America.

Fred Lenz, M.D., Ph.D.

Professor
Dept of Neurosurgery School of Medicine, Meyer 8-181
Johns Hopkins University
Baltimore, MD 21205
Phone: (410) 955-2257
flenz1@jhmi.edu
http://www.neuro.jhmi.edu/profiles/lenz.html

Dr. Lenz was trained at the University of Toronto; he is currently Professor and Director of Epilepsy Surgery at Johns Hopkins. His clinical practice specializes in the surgical treatment of Epilepsy, Movement Disorders and Psychiatric Disorders. His research focuses on human single neuron and local field potentials related to sensations such as touch, cold, and pain, as well as to the control of movement. He also studies these potentials in relation to diseases such as tremor, Parkinson’s Disease, or chronic pain.

Kaleb McDowell, Ph.D.

Chief, Translational Neuroscience Branch
Human Research and Engineering Directorate
Army Research Laboratory
Aberdeen Proving Grounds, MD 21005
kaleb.g.mcdowell.civ@mail.mil
Office Phone: 410-278-1453

Dr. McDowell’s research interests are on understanding brain function inreal-world settings and translating that understanding into technologiesthat support human-systems interaction. Â Our neuroscience laboratory isfocused on developing unique translational research capabilities and followsthree primary research thrusts: the first is brain-computer interactiontechnologies, where research focuses on human state evaluation, the neuralprocesses underlying event detection, novel approaches to classifying neuraldata, and developing proof-of-principle neurotechnologies with the potentialto have broad impact for healthy populations. The second thrust isreal-world neuroimaging and includes algorithm and methods development,approaches for robust, neurotechnologies that can be used regularly ineveryday environments, multi-aspect data collection that integrates neuralwith behavioral, environmental, and other biomarker data, and hardware andsoftware development. The third thrust examines the interactions among brainstructure, brain function, and human behavior, with a special emphasis onnetwork-based analyses as a way to characterize individual differences.

Dennis McFarland, Ph.D.

Laboratory of Nervous System Disorders
Wadsworth Center
New York State Department of Health and State University of New York
P.O. Box 509
Albany, New York 12201-0509
Phone: 518-473-3631
Fax: 518-486-4910

Dr. McFarland’s interests are in the fields of brain-computer interface technology and auditory processing. He has experience with the development of recording, signal processing, and training of EEG signals, as well as methods and theory in Psychophysics.

Michael Merzenich, Ph.D.

Francis A. Sooy Chair of Otolaryngology
UCSF
Box 0732, 513 Parnassus, HSE-828, San Francisco, CA 94143-0732
merz@phy.ucsf.edu
Phone: 415-476-0490

Michael Merzenich, Ph.D. is Francis A. Sooy Chair of Otolaryngology in the Keck Center for Integrative Neurosciences at the University of California at San Francisco. He is a scientist and educator, and founder of Scientific Learning Corporation and Neuroscience Solutions Corporation, companies that develop therapeutic programs for the neurologically and psychiatrically impaired. Dr. Mezernich is an expert on “brain plasticity” underlying the development of skills and abilities through experience and learning. He is a medical inventor who has been awarded more than 50 patents. His group developed the first models of a commercial (Clarion) cochlear implant. As a software developer, he has contributed to the creation of a number of therapeutic training programs targeting impaired populations. Among his awards are the international Ipsen and Zurich Prizes, honoring his work in brain plasticity. Merzenich is a member of the National Academy of Sciences. Merzenich is editor of Cochlear Implants (Raven Press, 1985).

Silvestro Micera, Ph.D.

Assistant Professor of BioRobotics
ARTS and CRIM Labs
Scuola Superiore Sant’Anna, Pisa, Italy
Head of the Neuroprosthesis Control Group
Institute for Automation
Swiss Federal Institute of Technology, Zurich, Switzerland
micera@sssup.it

Dr. Micera’s research interests include the development of hybrid neuroprosthetic systems (interfacing the central and peripheral nervous systems with artificial systems) and of mechatronic and robotic systems for function and assessment restoration in disabled and elderly persons.

Pedram Mohseni, Ph.D.

Associate Professor
Case Western Reserve University
Electrical Engineering & Computer Science Department
Biomedical Engineering Department
Glennan Building, Room 510
2123 Martin Luther King, Kr. Drive, Cleveland, OH 44106-7071
Tel: (216) 368-5263
Fax: (216) 368-6888
pedram.mohseni@case.edu
http://www.mohsenilab-cwru.org

Prof. Pedram Mohseni has directed the BioMicroSystems Laboratory in the Electrical Engineering and Computer Science Department at Case Western Reserve University since 2005. The research activities of the laboratory lie in the fields of biomicrosystems, implantable neuroprostheses, wireless brain-machine interfaces, microelectronics for neural engineering, and wireless integrated sensing/actuating systems. In particular, Prof. Mohseni’s research aims to employ engineering techniques to investigate the function and manipulate the behavior of the nervous system in both electrical and chemical paradigms, with the ultimate goal of enabling the investigation of brain-behavior relationships in neurobiology and restoring human function via direct interactions between the nervous system and state-of-the-art engineered devices.

Karim Oweiss, Ph.D.

Associate Professor of Electrical and Computer Engineering and Neuroscience
Michigan State University
East Lansing, MI, USA
koweiss@msu.edu
Phone: (517) 432-8137
Fax: (517) 353-1980
http://www.oweisslab.org

Dr. Oweiss is a senior member of the IEEE and a member of the Society for Neuroscience. His lab’s primary research interests are: 1) studying the basic mechanisms of sensorimotor integration; 2) engineer clinically viable brain machine interface systems to restore, augment or repair damaged neurological function.

He focuses on the mechanisms of neural integration and plasticity in sensorimotor systems in the mammalian brain. In particular, he seeks to understand: 1) how ensembles of neurons represent and integrate multiple sensory cues to guide motor action; 2) how neural computations take place at the cellular and population level with cell-type specificity; 3) how neural ensemble activity can be decoded to actuate artificial devices; 4) how precise control of cell-type-specific events can perturb and control neural responses to evoke desired behavioral outcome.He has published over 140 peer-reviewed journal and conference articles related to neural signal processing and brain machine interfaces, and how they can be used to quantify and induce neuroplasticity. He is the editor and co-author of the book: Statistical Signal Processing for Neuroscience and Neurotechnology, published by Academic Press in 2010.

Miguel A. L. Nicolelis, M.D., Ph.D.

Professor, Duke University
327E Bryan Research Building
(919) 684-4580
nicoleli@neuro.duke.edu
http://www.nicolelislab.net

Dr. Nicolelis’ laboratory is particularly interested in understanding the general computational principles underlying the dynamic interactions between populations of cortical and subcortical neurons that mediate tactile perception. To pursue this goal, Dr. Nicolelis and his colleagues have developed new electrophysiological techniques for carrying out long-term simultaneous recordings of the extracellular activity of up to 128 single neurons distributed across multiple levels of somatosensory and motor pathways in behaving animals. This experimental paradigm is used in combination with multivariate statistical techniques, computer graphics, and neural network models to analyze the spatiotemporal structure of neuronal ensemble activity and its correlation with different aspects of exploratory tactile behaviors.

Richard A. Normann

Department of Bioengineering
20 So. 2030 E, Room 506
University of Utah
Salt Lake City, UT 84112-9458
Voice/Msg: (801) 581-7645
Lab: (801) 581-3817
Fax: (801) 581-8966
normann@utah.edu
http://www.bioen.utah.edu/faculty/RAN

Dr. Normann’s research focuses on neuroprosthetics and vision neurophysiology. Work is ongoing in his laboratory in applied and basic studies of the central nervous system. Key in this work is the development of three dimensional, silicon based electrode arrays to be used to stimulate or record from the neurons of the central nervous system. Passing currents through arrays implanted in visual or auditory parts of the brain, could produce a sense of sight in the blind or hearing in the deaf. If implanted in the motor parts of the brain, these arrays could be used to record neural signals for controlling external systems (like a wheel chair). The arrays are also being used to study the parallel processing of sensory information by the retina and higher visual centers.

P. Hunter Peckham, Ph.D.

Donnell Professor of Biomedical Engineering and Orthopaedics
Case Western Reserve University
Director, Functional Electrical Stimulation Center
Louis Stokes Veterans Affairs Medical Center
MetroHealth Medical Center
2500 MetroHealth Drive, Hamann 601, Cleveland, Ohio 44109
Phone: (216) 778-3480
Fax: (216) 778-4259
pxp2@po.cwru.edu
http://fescenter.case.edu

The major area of Dr. Peckham’s research is in rehabilitation engineering and neuroprostheses. Dr. Peckham’s research effort focuses on functional restoration of the paralyzed upper extremity in individuals with spinal cord injury. He and collaborators have developed implantable neural prostheses which utilize electrical stimulation to control neuromuscular activation.

Eric J. Perreault, Ph.D.

Associate Professor
Department of Biomedical Engineering
Department of Physical Medicine and Rehabilitation
Northwestern University
Phone: (312) 238-2226
e-perreault AT northwestern.edu
http://www.bme.northwestern.edu/faculty_staff/core/perreault.html

Dr. Perreault’s research focuses on understanding the neural and biomechanical factors involved in the normal control of multi-joint movement and posture and how these factors are modified following neuromotor pathologies such as stroke and spinal cord injury. The goal of his research is to provide a scientific basis for understanding normal and pathological motor control that can be used to guide rehabilitative strategies and user interface development for restoring function to individuals with motor deficits.

Dejan B. Popovic, Ph.D.

Bulevar kralja Aleksandra 73
11000 Belgrade, Serbia
Phone: +381111 3218345
Mobile: +38163 252482
Fax: +381113248464
dbp@etf.bg.ac.rs and dbp@hst.aau.dk
https://smi.hst.aau.dk/members/dbp/

Dr. Popovic is a Professor of Biomedical Engineering, Faculty of Electrical Engineering, University of Belgrade, Serbia and a Professor of Rehabilitation Engineering with the Department of Health Sciences and Technology, Aalborg University, Denmark. His scientific interests include control of movement, restoration of movement in humans with disabilities, design of rehabilitation systems, functional electrical stimulation, prosthetics and orthotics, and neurorehabilitation.

Jose C. Principe, Ph.D.

Distinguished Professor of Electrical Engineering, BellSouth
Professor and Director, Computational NeuroEngineering Laboratory
EB 451, Bldg #33
University of Florida
Gainesville, FL 32611
Phone 352-392-2662
Fax 352-392-0044
principe@cnel.ufl.edu
http://www.cnel.ufl.edu/principe/principe.html

Thomas Sinkjær, Ph.D.

Director and professor, Center for Sensory-Motor Interaction
Aalborg University, Denmark
ts@hst.aau.dk
http://smiold.hst.aau.dk/members/ts/

Dr. Sinkjær is the Director and Professor at the Center for Sensory-Motor Interaction, Aalborg University. His research and teaching interests include motor control and neural rehabilitation technology. His research interests within motor control include the interaction of central control with reflex circuitry of the spinal cord and the intrinsic mechanical properties of the skeletal muscle system. Within neural rehabilitation research, his interest is in development of methods to restore sensory-motor function through neural prostheses and methods which enhances functional neural plastic changes.

Nitish V. Thakor, Ph.D.

Professor, Biomedical Engineering
Johns Hopkins School of Medicine
720 Rutland Ave, Baltimore, MD 21205
Phone: 410-955-7093
nitish@jhu.edu

Dr. Thakor directs the Laboratory for Neuroengineering which is currently engaged in several projects in the fields of neural instrumentation, microdevices and VLSI circuits and systems, and neural signal and image processing and their clinical applications. The first thrust of the laboratory is on the development of technologies that can lead to novel approaches and fundamental advances in basic neuroscience research. Examples include novel neurochemical microsensors, VLSI circuits for interfacing to sensors and power delivery to implantable devices, and optical imaging of brain using laser speckle imaging techniques. The second thrust of the laboratory is in the development of signal processing methods for analyzing brain wave activities associated with ischemia, trauma and coma. Recent examples include the development of information and entropy based measures to characterize the trends of recovery of EEG signals from ischemic brain injury and analysis of evoked potentials to detect and characterize spinal cord injury. The third thrust area is translational research, to develop laboratory models of brain and spinal cord injury, develop diagnostic or therapeutic methods and then apply this basic research to clinical problems and solutions. A recent example is the development of cortical brain injury diagnostic methods for monitoring recovery from global ischemia after cardiac arrest and use of hypothermia to provide neuroprotection to the subject’s brain. The fourth thrust area is brain computer interface and neural prosthesis. The laboratory is currently part of a consortium to develop neurally controlled upper limb prosthesis.

Shanbao Tong, Ph.D.

Professor, Associate Dean
School of Biomedical Engineering
Shanghai Jiao Tong University, Shanghai 200030, China
shanbao.tong@gmail.com

Dr. Shanbao Tong directs the neural engineering laboratory which has been working on several projects including (1) multichannel and multimodal neural signal processing techniques for understanding the brain following hypoxic-ischemic injury; (2) functional connectivity and neural plasticity following the ischemic stroke and its rehabilitation, (3) functional optical brain imaging and the instrumentation of high resolution and real time laser speckle imaging techniques and systems. His lab has engaged in developing high resolution cerebral blood flow imaging for both anesthetized and freely moving subjects.

Dustin J. Tyler, Ph.D.

Associate Professor
Biomedical Engineering Department
Case Western Reserve University
Room 309 Wickenden Building
10900 Euclid Avenue, Cleveland, OH 44106-7207
Phone: (216)-368-0319
Fax: (216)-368-4872
dxt23@case.edu

Jonathan R. Wolpaw, M.D.

Professor and Laboratory Chief
Laboratory of Nervous System Disorders
Wadsworth Center
New York State Department of Health
State University of New York
P.O. Box 509, Albany, New York 12201-0509
Phone: 518-473-3631
Fax: 518-486-4910
wolpaw@wadsworth.org

Dr. Wolpaw is a board-certified neurologist who has been with the Wadsworth Center for 23 years. He received a medical degree from Case Western Reserve University in 1970 and then completed a residency in neurology at the University of Vermont and a fellowship in neurophysiological research at the National Institutes of Health. He is currently chief of Wadsworth’s Laboratory of Nervous System Disorders and a professor in the Department of Biomedical Sciences of the University at Albany’s School of Public Health. Dr. Wolpaw’s major research interest is in developing and using operant conditioning of spinal reflexes as a new model for studying learning and memory in the vertebrate nervous system. These methods are now being applied to the study of spinal cord injury and to the development of new treatment methods. He is also developing EEG-based brain-computer interface technology as a new communication and control channel for those with severe motor disabilities.

James D. Weiland, Ph.D.

Biomimetic MicroElectronic Systems Engineering Research Center
University of Southern California
Los Angeles, CA
jweiland@usc.edu
Phone: 323-442-6670

Currently, Dr. Weiland is the Director of the Intraocular Retinal Prosthesis Lab at the Doheny Retina Institute, an Assistant Professor of Ophthalmology, Keck School of Medicine, University of Southern California, and an Assistant Professor of Biomedical Engineering, Viterbi School of Engineering, University of Southern California. Dr. Weiland’s research interests include retinal prostheses, neural prostheses, electrode technology, visual evoked responses, and implantable electrical systems.

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