Mechanical Engineering Department
University of Delaware, Newark, DE, USA
Phone: (480) 965-4182, Fax: (480) 727-9321
Dr. Artemiadis’ primary research interests have been in robotics and autonomous systems that interact with humans. The goals of his research have been to improve the quality of life by developing and controlling robotic devices that physically and cognitively interact and collaborate with humans. This interaction can be with devices that assist and augment human capabilities, as well as provide motor rehabilitation therapy to impaired individuals. In order to accomplish this, Dr. Artemiadis’ research has been focusing on answering important questions regarding the symbiosis of humans and robots in environments that involve physical and cognitive interaction.
Department of Automatic Control and Systems Engineering
The University of Sheffield
Mappin Street, Sheffield, S1 3JD
Phone: +44 (0)114 222 5649
Dr Arvaneh’s research interest includes brain-computer interface, assistive technology, prosthetic control, cognitive processes and their clinical applications. She applies her expertise in adaptive signal processing and machine learning to accurately detect different biomarkers within brain and other physiological signals. She has incorporated these biomarkers in a range of robotic stroke rehabilitation, brain monitoring and cognitive performance enhancement experiments both in the laboratory and clinical settings. Dr Arvaneh is the head of Physiological Signals and Systems laboratory in the Automatic Control and Systems Engineering department at University of Sheffield, where analytical and experimental techniques are combined to develop improved therapeutic, assistive, adaptive and rehabilitative technologies for a variety of conditions.
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
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.
Dept. of Medical Physics, School of Medicine
University of Patras, GR 26500 PATRAS, Greece
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.
Full professor of Biomedical Engineering
Politecnico di Milano, Department of Electronics, Information and Bioengineering
Piazza Leonardo da Vinci 32, 20133 Milano, Italy
Phone: +39 02 2399 3342
Her research interests are mainly related to the processing of biomedical signals and images and to the development of innovative methodologies for feature extraction and for enhancement of the information content and the formulation of new interpretative models to be applied both in physiological studies and in clinics.
Applications are in the analysis of signals and images from the central nervous system, including EEG, sEEG, fMRI, fNIRS, MRI for a better understanding of the physiological mechanisms related to cognitive processes, brain plasticity, rehabilitation, and for the characterization of pathological conditions, such as epilepsia, cerebral palsy, traumatic brain injury. Further studies of peripheral signals, heart rate, blood pressure, respiration, are focused on cardiovascular modelling and emotion recognition.
The methodological effort focuses mainly on the development of time-frequency analysis; parametric recursive identification; multi-variable parametric modeling; non-linear feature extraction; linear and non-linear synchronization of biomedical series; data, signal and image fusion.
Canada Research Chair in Rehabilitation Engineering Design
British Columbia Institute of Technology
Phone: (604) 451-6988
Jaimie Borisoff is the Canada Research Chair in Rehabilitation Engineering Design at the British Columbia Institute of Technology, an Adjunct Professor at the University of BC Occupational Therapy and Biomedical Engineering Programs, and a Principal Investigator at ICORD (International Collaboration on Repair Discoveries). His lab performs rehabilitation engineering research and development about various assistive and therapeutic technologies for people with disabilities. His projects include the development of “dynamic” wheeled mobility devices that allow users to quickly change their wheelchair configuration on-the-fly to suit different daily activities (e.g. the Elevation™ ultralight wheelchair), power-assisted wheeled mobility applications, and a supported-walking exercise machine for improved cardiovascular and locomotor outcomes after spinal cord injury. His applied research includes the design and evaluation of technologies, with a focus on function, performance, usability and commercial translation.
Department of Biomedical Engineering & Biointerfaces Institute
Dr. Bruns leads the Peripheral Neural Engineering and Urodynamics Lab at the University of Michigan. The pNEURO Lab develops interfaces with the peripheral nervous system to restore function and examine systems-level neurophysiology. The lab has specific focuses in autonomic organ control, such as for bladder and sexual dysfunction, and in interfaces with dorsal root ganglia. Techniques in the lab include using microelectrodes for real-time decoding and closed-loop control, anatomical modeling, and behavioral neuromodulation. The lab works with several animal models and also performs clinical research.
Dr. Thomas C. Bulea is a Staff Scientist in the Functional & Applied Biomechanics Section of the Rehabilitation Medicine Department at the National Institutes of Health Clinical Center, Bethesda, MD. Dr. Bulea’s research focuses on integration of neural interfacing and functional neuroimaging with rehabilitation robotics for evaluation and treatment of movement disorders and paralysis. Specific focus areas include combining electroencephalography (EEG) and functional near-infrared spectroscopy (fNIRS) with motion capture and electromyography (EMG) to study brain-body dynamics during movement, development and evaluation of assistive devices and technology to improve motor function, and evaluation of novel rehabilitation therapies, including human-machine interaction and integration of virtual reality, to enhance motor learning and functional recovery. A recent emphasis has been on the development of pediatric exoskeletons and their evaluation in children with cerebral palsy.
Wei Chen is Professor, Director of Center of Intelligent Medical Electronics at School of Information Science and Technology, and Director of the Physiological Signal and Sleep platform in the Human Phenome Institute, at Fudan University, Shanghai, China. She is also an Associate Editor of IEEE Journal on Biomedical Health Informatics (J-BHI).
Her research interests include patient health monitoring, sleep monitoring, brain activity monitoring, smart sensor systems, wearable sensor systems, health robotics, machine learning and data fusion for healthcare. Her research center mainly focuses on advanced sensor systems; monitoring physiological, psychological and behavioral signals; multi-modal signal processing and data fusion, as well as user-centered design. Her center aims at improving quality of life, empowering patients for personalized health management; and providing doctors more accurate and efficient clinical decision support. Her research in the areas of neonatal monitoring, sleep monitoring, and smart rehabilitation covers healthcare for people of different age groups, from neonates to elderly.
Dr. Dean leads the Locomotion & Energetics Group at the Medical University of South Carolina. His research applies an engineering-based understanding of human movement to the development of rehabilitation techniques for clinical populations with limited functional mobility. This mechanistic work is focused on the influence of body biomechanics and sensory feedback on the control of human locomotion, and changes that occur following neurological injuries.
Senior Lecturer (Associate Professor)
Dr. Fani Deligianni is a Senior Lecturer (Associate Professor) at the School of Computing Science at the University of Glasgow, UK. She is also the lead of the Computing Technologies for Healthcare theme. Dr Fani Deligianni’s holds a PhD in Medical Image Computing (Imperial College London), an MSc in Advanced Computing (Imperial College London), an MSc in Neuroscience (University College London) and a MEng (equivalent) in Electrical and Computer Engineering (Aristotle University, Greece).
Her research interests involve the development of machine learning approaches to process neurophysiological and human motion data to improve performance of human-AI systems and preserve human health and wellbeing. She has a strong track record on statistical machine learning with brain MRI data, human motion analysis as well as adaptive brain computer interfaces and wearable sensing technologies.
Lecturer, Department of Computer Science
Dr. Doborjeh is currently a lecturer in the Computer Science Department at Auckland University of Technology, New Zealand and is affiliated with Knowledge Engineering & Discovery Research Institute and as an associate researcher. Doborjeh has been principally researching in the field of Neuroinformatics, where she develops new methods based on brain-inspired artificial intelligence technologies to improve decision-making and decision support. Her research interest also includes deep learning, spiking neural networks, cognitive computation, mental/brain health informatics, spatiotemporal brain data analysis, and personalised modelling. She is also experienced in modelling, visualising, clustering and classifying of different types of brain data including EEG, MRI and fMRI. Doborjeh has been leading several successful collaborative projects in health informatics to develop prognostic/diagnostic systems for detection and prediction of mental issues and neurological diseases such as depression, cognitive impairment, dementia and stroke.
Professor, Doctor of Physical Therapy Program
Professor Domingo’s goals are to elucidate the best methods for locomotor rehabilitation after neurological injury based on principles of biomechanics, motor learning and control. She seeks to understand how different types of error impact motor learning of walking balance in intact and disordered nervous systems. Related to this, she is interested in the role of proprioceptive sense in the recovery of balance and skilled walking function. She aims to use this knowledge to develop and optimize the use of physical guidance and rehabilitation robotics in restoring gait and balance in individuals with spinal cord injury and in older adults. She is also interested in improving the health and wellness of disabled populations using wearable sensors.
Professor Deborah Falla’s research utilises state of the art electrophysiological measures to evaluate the control of human movement and how it is affected or adapted in response to various states (e.g. pain, injury, fatigue, and exercise). She has published over 230 papers in international, peer-reviewed journals and more than 300 conference papers/abstracts including over 30 keynote lectures. She has received several recognitions and awards for her work including the German Pain Research Prize in 2014, the George J. Davies - James A. Gould Excellence in Clinical Inquiry Award in 2009 and the Delsys Prize for Electromyography Innovation in 2004. She is an author of three textbooks including the latest entitled “Management of neck pain disorders: a research informed approach” (Elsevier, 2019). From 2016 to 2018, she was the President of the International Society of Electrophysiology and Kinesiology (ISEK).
Professor of Biomechanics, KTH MoveAbility Lab, Department of Engineering Mechanics.
Dr. Gutierrez Farewik is a Professor of Biomechanics at the Department of Engineering Mechanics at KTH Royal Institute of Technology, and leads the KTH MoveAbility Lab. She also has an affiliation to the Department of Women’s and Children’s Health at Karolinska Institutet. Her research interests span several biological scales, and include modelling, predictive simulation and device design for children and adults with motor disorders. She and her group combine experiments with numerical modelling to study the short- and long-term consequences of motor disorders, as well as the factors that influence a person’s movement strategy. They are developing biosignal-controlled assistive-as-needed devices for the lower extremities for applications in neurorehabilitation and habilitation, with a goal to increase movement efficiency, preserve available neural pathways and complement the user’s functional abilities.
Assistant Professor, Division of Biokinesiology and Physical Therapy
Dr. Finley directs the Locomotor Control Laboratory at the University of Southern California where he investigates how locomotion is controlled and adapted in both the healthy and injured neuromuscular system. Dr. Finley’s lab develops theoretical models and experiments based on principles of neuroscience, biomechanics, and exercise physiology to identify the factors that guide learning and rehabilitation. Ultimately, the goal of his work is to design novel and effective interventions to improve locomotor control in individuals with damage to the nervous system.
Assistant Professor, Department of Physical Medicine and Rehabilitation at the University of Pittsburgh;
Director of Education for the Rehab Neural Engineering Labs
Dr. Fisher is an Assistant Professor in the Department of Physical Medicine and Rehabilitation at the University of Pittsburgh and Director of Education for the Rehab Neural Engineering Labs. His research interests focus on the development of neuroprosthetic systems to restore function after injury or disease to the nervous system, including limb amputation and spinal cord injury. His ongoing research efforts include the clinical testing of spinal cord stimulation to restore sensory function after the loss of a limb and pre-clinical development of devices to stimulate the spinal cord and vagus nerve to control sensory, bladder, and gastrointestinal function. In 2021, he was awarded the North American Neuromodulation Society’s Kumar New Investigator Award for his research on the use of cervical spinal cord stimulation to restore sensory function after upper-limb amputation.
Associate Professor of Movement Science, Biomedical Engineering and Robotics
Dr. Gates directs the Rehabilitation Biomechanics Laboratory at the University of Michigan. The lab focuses on 1) determining biomechanical and motor control strategies for repetitive human movements such as walking and reaching, 2) assessing biomechanical adaptations to prosthesis and orthosis use, 3) outcomes assessment of devices and rehabilitation, and 4) optimization of prosthetic control.
Title: Associate Professor
Affiliation: Department of Computer and Information Sciences, Northumbria University, UK.
Lab website: https://digihealthgroup.org/
Dr. Godfrey leads the Digital Health and Wellbeing research group in his department. His major research is in algorithms for data science and analytics in healthcare. This includes areas of artificial intelligence (AI), machine learning, data mining and multidimensional signal processing. He has published over 100 papers on those topics in various engineering and medical journals from a portfolio of translational-based research. The majority of his work resides with wearable technologies for remote patient assessment, monitoring beyond the lab/clinic. Dr Godfrey is a Member of the Institution Engineering Technology (MIET) and Senior Member of the Institution of Electrical and Electronic Engineering (SMIEEE).
Biomedical and Chemical Engineering and Sciences Department
Florida Institute of Technology
Dr. Guarin is an Assistant Professor in the Biomedical Engineering program at the Florida Institute of Technology, Melbourne, FL. USA. Dr. Guarin received his Master’s and Doctorate degrees in Biomedical Engineering from McGill Univerity and was a postdoctoral trainee at Harvard University and the University of Toronto/ Toronto Rehabilitation Institute. He is the director of The Movement Estimation and Analysis; his research areas include neuroscience, signals analysis and synthesis, machine learning, and computer vision. Dr. Guarin’s work is focused on translating engineering approaches to develop disease-modifying therapies for patients with neuromuscular diseases and novel methods for disease diagnosis that are sensitive for early diagnosis.
Xiaoli Guo is an Associate Professor at School of Biomedical Engineering, Shanghai Jiao Tong University, China. Her research interests focus on understanding brain diseases and neurorehabilitation using neuroimaging techniques from the aspect of neural plasticity. Her ongoing research efforts includes processing and integrating multimodal brain images (EEG, fMRI, DTI, etc.) for characterization of pathological conditions, such as stroke, amputation, Parkinson's Disease and mental disorders, as well as for a better understanding of brain reorganization related to brain development and rehabilitation.
Dept. of Orthopaedic Surgery, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University
School of Medicine
School of Biomedical Engineering, Shanghai Jiao Tong University
Dongyun Gu is Professor in the Department of Orthopaedic Surgery of Shanghai Ninth People’s Hospital affiliated to Shanghai Jiao Tong University School of Medicine and has a joint appointment with the School of Biomedical Engineering of Shanghai Jiao Tong University, China. She is the Deputy Director of Engineering Research Center of Digital Medicine & Clinical Translation of the Ministry of Education, China, which has been the first national center that focuses on innovative translational research and development of digital medicine. Dr. Gu’s research interests include gait analysis, musculoskeletal biomechanics, wearable devices and machine learning. Her research group investigates human gait disorder affected by physical disability, neurological disorders, musculoskeletal pathology and age-related diseases, with a goal of developing gait rehabilitation interventions and improving clinical decision-making. They also focus on the development of wearable gait analysis systems and deep-learning based human pathological gait recognition.
Claire Honeycutt PhD
Assistant Professor, Honors Faculty
Ira A Fulton Schools of Engineering
Arizona State University
501 E Tyler Mall, Room 334, PO Box 879709
Tempe, Arizona 85287-9709
Claire Honeycutt is an Assistant Professor in the School of Biological and Health Systems Engineering at Arizona State University. The primary research focus is to enhance mobility and quality of life in older adults and stroke survivors. More specifically her work focuses on 1) neural control of movement 2) whole-body balance control/ falls, 3) aging, and 4) clinical populations with more recent focus in developing targeted telehealth therapy interventions to enhance upper extremity and speech function in individuals with severe impairment post-stroke.
Professor of Clinical Movement Sciences,
University Medical Center,
9712 CP Groningen, Netherlands
Professor Houdijk leads the rehabilitation section of the department of Human Movement Sciences at the University Medical Center in Groningen, The Netherlands. His team takes a multidisciplinary approach to study movement pathology taking into account biomechanica, physiological and motor control aspects. From a theoretical perspective they contribute to the understanding of (functional consequences of) movement pathology, diagnostics and interventions. Professor Houdijk’s personal expertise and research interest lies in the energetics and control of human walking and the development and evaluation of assistive technology to enhance walking ability.
Xiaoling Hu is an Associate Professor in Department of Biomedical Engineering, The Hong Kong Polytechnic University. She has served in IEEE EMBS Hong Kong and Macau Joint Chapter as a committee member more than ten years. Currently, she is the vice Chair of the chapter. Her research interests include neural engineering, hybrid robotic system, biomechatronic engineering, bio-signal processing, stroke rehabilitation, sports medicine, wearable technology, and quantitative measurement for diagnosis and evaluation.
Professor, NCSU/UNC Department of Biomedical Engineering
Director, NCSU/UNC Closed-Loop Engineering for Advanced Rehabilitation (CLEAR) Core
Dr. Huang is a Professor of Biomedical Engineering in the Joint Department of Biomedical Engineering at the University of North Carolina at Chapel Hill (UNC) and North Carolina State University (NCSU) and the Director of the NCSU/UNC Closed-Loop Engineering for Advanced Rehabilitation (CLEAR) Core. Dr. Huang’s research interest lies in neural-machine interfaces for prostheses and exoskeletons, wearer-robot interaction, adaptive and optimal control of wearable robots, and human movement control. She pioneered EMG-based neural interface for robotic prosthetic legs. This work has won her the Delsys Prize in 2008. Her lab also invented novel control for multifunctional prosthetic arms based on EMG-driven musculoskeletal models. Her current research focuses on (1) optimal adaptive control of wearable robots with human-in-the-loop, (2) fault-tolerance in wearer-robot interaction, and (3) shared control of artificial limbs. She is a senior member of IEEE and member of the Society for Neuroscience and BMES.
Dr. Huang directs the UCF Biomechanics, Rehabilitation, and Interdisciplinary Neuroscience (BRaIN) Lab where her team studies the brain dynamics and neuromechanics of human locomotion and adaptation. Her team also explores and develops new methods to expand the capabilities of electroencephalography (EEG) to study human movement. Her long-term goal is to develop gait and lower limb rehabilitation approaches based on brain dynamics and neuromechanics.
Lecturer, School of Computer Science and Electronic Engineering, University of Essex, Essex, UK.
Delaram Jarchi is a Lecturer in Artificial Intelligence (AI) and machine learning at the School of Computer Science and Electronic Engineering, University of Essex, Essex, UK. Her research has been focused on the use of wearable sensors for healthcare applications including designing new algorithms and validation of commercial wearable sensors for robust estimation of physiological parameters such as heart rate, respiratory rate and blood oxygen saturation level in very unobtrusive ways. Her research interests include Body Sensor Network, Internet of things (IoT), bio-signal processing, adaptive signal processing and machine learning.
Associate Professor, Department of Systems Design Engineering; Director Waterloo Engineering Bionics Lab
Phone: +1 519 888 4567 EXT 33677
Dr. Jiang is interested in signal processing and machine learning methods for bio-signals, such as electromyography (EMG), electroencephalogram (EEG), electrocardiogram (ECG), and fNIRS. The applications of Dr. Jiang’s research focuses on the development of novel human-machine interfaces (HMI) based on these bio-signals and the various applications of the HMIs in brain-computer interfaces, prosthetic control and wearable devices for healthcare and beyond.
Vice-Chancellor’s Women in STEM Fellow
Faculty of Science, Engineering and Technology
Dr Kameneva’s research interests include visual neuroscience and computational modelling; her research combines engineering tools and mathematical methods to solve open problems in biology and medicine. Dr Kameneva has expertise in control theory tools and their applications in life sciences and neuroprosthetic implants. Dr Kameneva contributes to the understanding of neural information processing in response to stimuli; she studies how electrical and optical stimulation affects neural activations and works on the development of new stimulation methods that can be used across a broad range of medical bionics applications.
Associate Professor, NCSU/UNC Joint Department of Biomedical Engineering
North Carolina State University
Dr. Kamper’s research interests focus on the neuromechanics of the upper extremity and the restoration of upper extremity function following neurological injury. Studies of biomechanics and motor control are undertaken with the goal of identifying impairment mechanisms in individuals following neurological damage. Knowledge of these mechanisms guides the development of novel interventions, including virtual reality and soft exoskeletons.
Associate Professor, Department of Mechanical Engineering, Ulsan National Institute of Science and Technology (UNIST)
Dr. Sang Hoon Kang is an Associate Professor in the Mechanical Engineering at UNIST and the Director of the Robotics and Rehabilitation Engineering Lab (R^2EL). Dr. Kang’s research interests include rehabilitation robotics/mechatronics and biomechanics of human movement, with an emphasis on rehabilitation medicine. He has been working on an upper-limb exoskeleton robot for neurorehabilitation, robust methods and robots for estimating upper limb mechanical impedance representing rigidity/spasticity, a real-time estimation method of knee 3D moments during stepping on a trainer for diagnosis/training of patients with knee osteoarthritis, a stepping device for the prevention and rehabilitation of the elderly with knee osteoarthritis or with sarcopenia at risk, and a device for evaluating joint proprioception under different external torques. He is a member of IEEE. He is the chair of the Technical Committee on Rehabilitation Robot, Korea Robotics Society, and Board Member of Korea Robotics Society, Korean Society of Medical Robotics, and the Bioengineering Division of The Korean Society of Mechanical Engineers.
Associate Professor, Mechatronics. Director, Biomechatronics & Assistive Technology Lab (UTCBioAstLab) Department of Engineering Technology and Management, University of Tennessee at Chattanooga
Phone: (423) 425-4771
Dr. Kaplanoglu leads the Biomechatronics & Assistive Technology Lab (BioAstLab®) at the University of Tennessee at Chattanooga. His research focuses on Biomechatronics systems; EMG and EEG controlled Prosthesis/Orthosis and Wearable Rehabilitation Robotics. Besides his biomechatronics research, he is also working on human-collaborative/industrial robot interaction with bio signals.
Professor, Faculty of Engineering
Dr. Kiguchi directs System Engineering Laboratory in Department of Mechanical Engineering at Kyushu University. Dr. Kiguchi’s research interests include human assist robots, rehabilitation robots, human-robot interface, EEG analysis, EMG analysis, human motion simulators, and surgery simulators.
Senior Research Official
Department of Clinical Rehabilitation Research
National Rehabilitation Center, Seoul, South Korea
Dr. Hogene Kim seeks to develop practical technology and useful devices to people with special needs in rehabilitation engineering research. He is interested in understanding the human movement biomechanics in persons with neurological impairments and thus to find novel clinical interventions using diagnostic or therapeutic rehabilitation robotics and assistive technology in the community including rehabilitation exercise equipment. His research continues to extend real-world applications of the principles of design, instrumentations, and experimental methods in modern technology and product engineering for therapeutic advances in rehabilitation engineering.
Research Career Scientist, Dept. of Veterans Affairs
Affiliate Professor, Dept. of Mechanical Engineering, University of Washington
Dr. Klute’s research aims to enhance the mobility of individuals with lower limb amputation. His interests in biomechanics and robotics include: development of prosthetic lower limbs to facilitate the complex maneuvering gait that occurs in everyday life, terrain adapting prostheses that improve balance, and prostheses that remain secure despite vigorous activity in demanding environments.
Professor of Institute of Bioinformatics and Systems Biology
Dr. Ko is a Professor in Institute of Bioinformatics and Systems Biology in National Chiao Tung University, Hsinchu, Taiwan. Dr. Ko is also affiliated with Institute of Biomedical Engineering, and Brain Research Center in NCTU, Taiwan. Dr, Ko is also the visiting scholar in Institute for Neural Computation (INC) in University of California, San Diego (UCSD). Dr. Ko leads Neural Engineering Laboratory in NCTU and primary research interests are focusing on neural engineering related research, especially in brain computer interface (BCI), real-world neuroimaging (RWN), EEG-fMRI simultaneous recording, functional near-infrared spectroscopy(fNIRS), and neural computation in the neurological diseases such as neural rehabilitation, migraine, and sleep disorders. In academic service, Dr. Ko was the Associate Editors of IEEE Transactions on Neural Networks and Learning Systems (Impact Factor: 6.108, Rank: 3/104, of computer science, theory and methods) in IEEE Computational Intelligence Society (CIS) from 2010-2015 and served as the committee members in neural networks and fuzzy systems technical committees.
Associate Professor of Physical Medicine & Rehabilitation, Biomedical Engineering, Kinesiology, and Robotics Institute
Professor Krishnan directs the Neuromuscular and Rehabilitation Robotics Laboratory (NeuRRo Lab) at the University of Michigan. He is a physical therapist by background and has vast clinical experience both in inpatient and outpatient rehabilitation. He received his PhD in Physical Therapy & Rehabilitation Science from the University of Iowa in 2009 and completed a 3-year postdoctoral fellowship in Robotics and Noninvasive Brain Stimulation at the Rehabilitation Institute of Chicago and Northwestern University. His research involves both mechanistic and interventional studies to facilitate our current understanding of neuromuscular function and regulation in the context of movement control and neuromuscular plasticity. He has a special interest in developing and testing low-cost technologies for the assessment and treatment of neurological and orthopedic conditions.
Indian Institute of Technology Gandhinagar
Palaj Campus, Gandhinagar-382355, Gujarat
Dr. Uttama Lahiri is a faculty at Electrical Engineering with research interests in Virtual Reality based Human Computer Interaction used in Neuro-rehabilitation and Affective computing. In her research, she uses Eye Tracking, Physiology-based modeling, Signal Processing and Artificial Intelligence to develop Adaptive Physiology-sensitive Rehabilitation and Intervention techniques. She loves to work on application-oriented projects and solutions for children with Autism and Stroke-rehabilitation platforms for the elderly. She is leading the Intelligent Rehabilitation and Affective Computing Systems (IRACS) Laboratory at IIT Gandhinagar. She enjoys teaching both fundamental and advanced technical concepts of engineering to the undergraduate and the post-graduate students.
Dr. Song Joo Lee is a Principal Research Scientist in the Bionics Research Center at the Korea Institute of Science and Technology, Seoul, South Korea. She is also an associate professor at the division of Bio-Medical Science & Technology, KIST School, University of Science and Technology (UST) and directs the Neuromechanics lab.
Dr. Lee’s research interests stem from evidence-based translational research that aims to make biomechanical and (patho)physiological finding useful and improve human neuromuscular performance for patients with movement disorders. Her lab focuses on 1) understanding human neuromechanics by applying engineering principles and 2) applying the knowledge to develop rehabilitation strategies and assessment tools. Her research fields include neuromechanics, brain-computer interface, prosthetics and orthotics, and rehabilitation engineering.
Laura Marchal-Crespo is an Associate Professor at the Department of Cognitive Robotics, Faculty 3mE (Mechanical, Maritime and Materials Engineering), Delft University of Technology, The Netherlands. Her research focuses on the general areas of human-machine interaction and biological learning and, in particular, the use of robotic devices and immersive virtual reality for the assessment and rehabilitation of patients with acquired brain injuries, such as stroke. A major goal of her research is to gain a better understanding of the underlying mechanisms associated with the acquisition of novel motor skills in order to develop innovative technology to improve neurorehabilitation. She develops intelligent controllers that modulate movement errors based on patients’ special needs, age, and training task characteristics using a wide selection of robotic devices for upper and lower limb rehabilitation. She further employs electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) to identify neurocognitive markers underlying motor learning.
Lorenzo Masia is Professor at Heidelberg University and Chair in Medical Technology and Biorobotics at the Institute of Computer Engineering. His primary research focuses on the design and development of robotic technology for human rehabilitation and augmentation, with special emphasis on soft wearable exosuits, novel actuation design and control implementation for human machine interfaces. With more than 10 years of experience in the field of Haptics, Robot-Aided Rehabilitation and Assistive Technology his research group was awarded multiple times in the leading conferences in Biorobotics and Robotic Rehabilitation winning two IEEE Best Student Paper Awards (IEEE ICORR2015 and IEEE Biorob2016), an IEEE Best Paper Award (IEEE ICORR2011), and finalist of “Best Human-Robot Interaction (HRI) Paper Award” at IEEE ICRA 2017 held in Singapore on May 2017.
Prof. Masia has been appointed twice Program Chair for the IEEE International Conference in Rehabilitation Robotics (ICORR) 2015 and IEEE Biorobotics and Biomechatronic Conference (BIOROB) 2016. He served as Chairman for Workshop/Tutorial for the IEEE International Conference on Robotics and Automation (IEEE ICRA 2017) held in Singapore on May 2017, and He was the co-Program Chair of IEEE ICORR 2017 (London, UK). In 2018 He served Program Chair for the International Conference on Neurorehabilitation (ICNR 2018) and Co-Program Chair, Editor in Chief and Editor of Publication for IEEE Biorob 2018.
Ilana Nisky is an associate professor in the Department of Biomedical Engineering, Ben-Gurion University of the Negev, where she is the head of the Biomedical Robotics Lab. She is also the head of the Israel-Italy Virtual Lab on Artificial Somatosensation for Humans and Humanoids. She is the recepient of the 2019 IEEE RAS Early Academic Career Award, the prestigious Alon Fellowship for young faculty from the Israeli Council for High Education, and the Marie Curie International Outgoing Fellowship from the European Commission. Her research interests include human motor control, haptics, robotics, human and machine learning, teleoperation, and robot-assisted surgery and rehabilitation, and her lab is supported by competitive grants from the Israeli Science Foundation, the Israel-US Binational Science Foundation, and the Ministry of Science and Technology. Nisky has authored more than 70 scientific publications in peer-reviewed journals and conference proceedings, and numerous abstracts in international conferences. She hopes that her group’s research will improve the quality of treatment for patients, will facilitate better training of surgeons, advance the technology of teleoperation and haptics, and advance our understanding of the brain.
Associate Professor of Electrical Engineering and Computer Science
University of Cincinnati, Cincinnati, OH, USA
Dr. Novak’s primary research areas are wearable robotics, rehabilitation robotics, serious games, and affective computing. Her overall goal is to improve human health and wellbeing through development and evaluation of novel intelligent and user-friendly technologies. For example, she has used signal processing and pattern recognition techniques to infer human workload levels, and has used this information to guide adaptive rehabilitation games. Additionally, she has used diverse signals to infer human motor intentions in wearable devices such as exoskeletons and prostheses. She is currently an Associate Professor of Electrical Engineering and Computer Science at the University of Cincinnati. She is a senior member of the IEEE and an active volunteer for several LGBTQ+ organizations.
Department of Electronics and Bioinformatics, School of Science and Technology
Director, Health Science and Medical Engineering Lab
Professor Ono leads the Health Science and Medical Engineering Lab of the Department of Electronics and Bioinformatics, School of Science and Technology at Meiji University, Japan. Her team focuses on combining human functional measurement and bio-signal processing techniques to develop novel applications in medical diagnosis and neurorehabilitation. Professor Ono’s personal expertise and research interest lie in the human cognitive neuroscience and neural engineering of cognitive/motor enhancement, utilizing the electrical and optical functional imaging/stimulation techniques (EEG, MEG, fNIRS, fMRI. PET, tDCS, and diffuse correlation spectroscopy).
Dr. Ram Bilas Pachori is currently a Professor in the Department of Electrical Engineering at Indian Institute of Technology Indore, Indore, India. He has authored 233 publications which include journal papers (143), conference papers (66), books (06), and book chapters (18). His publications have around 9000 citations with h index of 50 (Google Scholar, September 2021).
He works on the development of new methodologies based on the signal processing and machine learning for analysis and classification of biomedical signals and images (EEG, ECG, PCG, CT, X-ray, MRI, MEG, EMG, fundus images, lung sounds, etc.) with applications to diagnosis of various diseases like epilepsy, glaucoma, coronary artery disease, diabetes, congestive heart failure, septal defects, myocardial infarction, atrial fibrillation, amyotrophic lateral sclerosis, sleep disorders, alcoholism, human emotions, etc.
His broad research interests are in the areas of Signal and Image Processing, Biomedical Signal Processing, Non-stationary Signal Processing, Speech Signal Processing, Brain-Computer Interfacing, Machine Learning, and Artificial Intelligence in Healthcare.
Associate Professor, Mechatronics Engineering
Dr. Patoglu’s research is in the area of physical human-robot interaction. His research focuses on optimal design and control of force-feedback robotic systems (e.g., rehabilitation robots, exoskeletons, prostheses, surgical robots) under the constraints imposed by human biomechanics and sensorimotor control. His studies extend to cognitive robotics.
Carolynn Patten, Ph.D., PT is with the University of California, Davis. Dr. Patten is a senior investigator with the VA Brain Rehabilitation Research Center where she holds Research Career Scientist status. In 2016, Dr. Patten was named as a Catherine Worthingham Fellow of the American Physical Therapy Association, the highest honor among APTA’s membership. Dr. Patten’s primary research interests involve neurophysiological and biomechanical approaches to understand the neural control of movement, mechanisms of disordered motor control in neuropathological conditions, and the capacity for motor recovery in adults following central nervous system injury. Her translational neuroscience research program uses a combination of techniques including transcranial magnetic stimulation (TMS), neurophysiological methods (EMG, motor unit recordings, reflex probes), neuroimaging and human performance. As a result, her research crosses disciplines including motor control, physiology, biomechanics, clinical medicine, rehabilitation and bioengineering. Dr. Patten’s research has been supported by awards from the: Department of Veterans Affairs, National Institutes of Health, Whitaker Foundation, Brooks Research Endowment and Foundation for Physical Therapy. Her current projects involve: 1) investigation of novel approaches (i.e., rTMS (repetitive transcranial magnetic stimulation), TDCS (transcranial direct current stimulation), motor priming, robotics) to reverse central neural inhibition and promote behavioral motor recovery following stroke; 2) identification of neurobehavioral characteristics of therapeutic responders and non-responders; 3) development of customized therapeutic interventions using computational modeling. Dr. Patten is cross-appointed in the Departments of Applied Physiology and Kinesiology (College of Health and Human Performance) and Neurology (College of Medicine). Her teaching responsibilities include Translational Neuroscience Research.
Associate Professor of Biomedical Engineering
Dr. Pedrocchi research interest is neuroengineering, including biomechanics in motor control, neurorobotics, computational neuroscience models by spiking neural networks, design of bioartificial interfaces to in-vitro neurons and new technologies for neurorehabilitation, with a special emphasis on upper limb exoskeletons for rehabilitation and assistive devices, neuroprostheses and the study of the correlation between brain plasticity and functional recovery.
Professor, Electrical Engineering Department
Prof. Vinod’s research interests include digital signal processing, VLSI signal processing, Brain-Computer Interface and its applications in assistive technology & rehabilitation. He has on-going and completed external research grants from various funding agencies – Ministry of Education, Singapore, Ministry of Defence, Singapore, DSO National Laboratories, Singapore, European Aeronautic Defence & Space Company, Singapore Millennium Foundation, Civil Aviation Authority of Singapore, Airbus Group Innovations and Department of Science & Technology (Govt of India) amounting over $3.5 million as principal investigator. He has published over 250 papers in refereed international journals and international conferences, supervised and graduated 16 Ph.D. students. He is an Associate Editor of IEEE Transactions on Human-Machine Systems, IEEE Systems, Man & Cybernetics Magazine and Springer Journal of Circuits, Systems & Signal Processing and Senior Member of IEEE. Vinod was a Co-Chair (Brain-Machine Interface Systems) of IEEE Systems, Man & Cybernetics Society for which he won the award of the ‘Most Active Technical Committee in Human-Machine Systems’ of IEEE Systems, Man and Cybernetics Society in three consecutive years – 2015, 2016 and 2017.
Director, Rehabilitation Engineering Department
Associate Director of the Pathokinesiology Laboratory at Rancho Los Amigos National Rehabilitation Center
Dr. Philip Requejo is the Director of the Rehabilitation Engineering Department and Associate Director of the Pathokinesiology Laboratory at Rancho Los Amigos National Rehabilitation Center. He serves as a faculty member at the University of Southern California in the Departments of Biomedical Engineering, Human and Evolutionary Biology, and Biokinesiology and Physical Therapy. He also is the Director of Rehabilitation Engineering Department and Co-Director of the RERC on Technologies for Successful Aging with Disability at the Model Systems Knowledge Translation Center (MSKTC). The MSKTC is a national center that helps facilitate the knowledge translation process to make research meaningful to those with Spinal Cord Injury (SCI), Traumatic Brain Injury (TBI) and Burn Injury (Burn). He received his undergraduate degree in Electrical Engineering and PhD degree in Kinesiology from the University of Southern California. He is a faculty in the Department of Biomedical Engineering and Department of Kinesiology, and Department of Biokinesiology and Physical Therapy at USC. His research primarily falls into several broad areas of rehabilitation engineering and biomechanics research; focusing on the design, analysis, and implementation of technologies to preserve and enhance mobility in those with spinal cord injury- particularly focusing on the biomechanics of the weight-bearing shoulder to prevent and treat shoulder pain.
Massimo Sartori is an Associate Professor at the University of Twente where he directs the Neuromechanical Modelling and Engineering Lab. Dr Sartori’s primary research focuses on interfacing assistive robotic technologies with the neuromuscular system for enhancing human movement. A distinctive trait of Dr Sartori’s approach is that of fusing multi-scale musculoskeletal modelling formulations with bioelectrical recordings to investigate basic mechanisms of movement neuromechanics in vivo. On these topics he has been awarded prestigious personal grants (ERC Starting Grant, Marie Skłodowska-Curie Fellowship), is PI in large-scale consortium-based projects (i.e. H2020 EFRO GUTs), and received several awards (e.g. NIH/OpenSim Outstanding Research). In 2018, Dr Sartori served as Workshop Chair at IEEE BioRob.
Rehab Technologies Lab
Phone : 010 71781 212
ISTITUTO ITALIANO DI TECNOLOGIA
Via Morego 30, 16163 Genova
Marianna Semprini got a BS in Biomedical Engineering and a MS in Bioengineering (Neuroengineering curriculum) both at the University of Genoa (Italy) in 2004 and 2007 respectively. In 2007 she was research fellow at Northwestern University (Chicago, IL, USA). In 2011 she received a PhD in Robotics, Neurosciences and Nanotechnologies from the Istituto Italiano di Tecnologia (IIT).
She is currently Clinical Research Team Manager at IIT-INAIL Rehab Technologies Lab of the Italian Institute of Technologies. Her current interests are neurorehabilitation, neuroprostheses and neural control of movement
Dr. Sharma leads Neuromuscular Control and Robotics lab in the Joint Department of Biomedical Engineering at NC State University and UNC-Chapel Hill. His research lab focuses on the modeling, optimization, and control of functional electrical stimulation (FES) and hybrid exoskeletons that combine FES and a powered exoskeleton. The lab also researches ultrasound imaging-derived and surface electromyography signals that quantify muscle contractility changes during FES-evoked and voluntary limb movements. The research uses a variety of control design tools ranging from Lyapunov-based nonlinear control design, model predictive control, dynamic optimization, neural networks(NN)-based adaptive control, NN-based optimal control, and data-driven modeling and control.
Lab Website: http://www.sharmalabncsu.org/
Dr. Shull’s research interests include human performance measurement and analysis, wearable sensors, biomechanics of locomotion, and machine learning. His laboratory develops wearable systems to explore principles of human movement and movement modification. His group combines robotic, haptic, and biomechanics principles to create unique sensors, real-time models, sensor fusion algorithms, and novel feedback devices. They focus on human movement in laboratories, in clinics, and in natural environments such as a home or office. Target applications are in medicine such as osteoarthritis and stroke, and in athletics such as basketball and running.
Institute for Sustainable Industries & Liveable Cities
Dr Siuly’s research interest includes Biomedical Signal Processing, Detection and Prediction of Neurological Abnormality from Brain Signal Data (e.g. electroencephalogram (EEG) signal data), Brain-Computer Interface, Machine Learning, Deep learning, Pattern Recognition, Artificial Intelligence and Medical Data Mining. She already made significant contributions to the mentioned areas that have been published in top leading journals and conferences. The key aim of her current research is to develop an innovative computer-assisted analysis system that can be used for detecting and predicting neurological abnormalities from EEG signal data. This system will assist medical specialists/experts to rapidly identify neurological problems and provide appropriate treatments and care information for patients.
Dr. Struijk’s research focuses on rehabilitation robotics, tongue computer interfaces, assistive robotics, neurorehabilitation robotics, human machine interfacing, and biorobotics.
Key Laboratory for Biomedical Engineering of Ministry of Education of China
Department of Biomedical Engineering
Dr. Yu Sun is a Research Professor in the Department of Biomedical Engineering at Zhejiang University and is also affiliated with the Department of Radiology, the Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, Hangzhou, China. Dr. Sun’s research emphasis has been placed on the integration of the neural engineering, cognitive sciences, and virtual reality in service of insights into functions of the brain, cognition, and behavior. In particular, his research work of brain connectome studies of neuroergonomics and brain state monitoring has provided nascent insights into the neural mechanisms of mental workload/fatigue. Another area of interest is brain-computer interface and its clinical applications such as neural rehabilitation. In academic service, Dr. Sun is also an associate editor of the journal Medical & Biological Engineering & Computing (MBEC), and a youth corresponding expert of the journal Engineering.
Associate Professor, Biomedical Engineering and Mechanical Engineering
Karen L. Troy directs the Musculoskeletal Biomechanics Laboratory, where she investigates questions related to musculoskeletal health and structure, physical activity, and biomechanics, in healthy and clinical populations. She has expertise in computational biomechanics and finite element modeling, aging and fall avoidance, and medical imaging. She has worked on clinical trials targeting bone health in both healthy women and people with spinal cord injury. She collaborates with physicians in the areas of orthopaedic trauma, radiology, rheumatology, and physical medicine and rehabilitation.
Dr. Carmen Vidaurre is Ramon y Cajal fellow at the public University of Navarre, Dp of Statistics, Informatics and Mathematics, in Spain. From 2008 to 2016, she was a member of the Machine Learning Group at TU-Berlin, Berlin, Germany, where she was in charge of several national and international research projects. Between 2006 and 2008, she was Marie Curie fellow at the IDA group of the Fraunhofer Institute in Berlin, Germany. In 2006 she was post-doc researcher at CIMA in Pamplona, Spain. From 2002 to 2005 she was guest researcher at the TU-Graz, Institute of Biomedical Engineering, in Austria, where she pursued her PhD in the field of Brain-Computer Interfacing.
Her research interests are about the development of optimized multimodal methods for the understanding of motor control and their application to functional motor rehabilitation. She is also interested in the development of principled optimized procedures to ease the processing of neuroscientific data and to increase our understanding of the nervous systems.
Dr. Vuckovic’s research interests are in cortical basis of sensory motor control and neuroplasticity. Recently she has been developing novel Brain Computer Interface strategies for patient self-managed therapies. She is also interested in EEG markers of neurological conditions such as neuropathic pain and in development and clinical testing of EEG and fMRI based neuromodulatory therapies based on single and multiple users.
Department of Electrical and Computer Systems Engineering
Department of Physiology
Dr. Wong’s research interests are broadly separated into neural prostheses and systems neuroscience. In the field of neural prostheses, Dr Wong is interested in brain machine interfaces for upper limb movement control, cortical and retinal stimulation studies (Bionic vision), improved cochlear implant fitting techniques, new electrode technologies and the general use of local field potentials to improve neural prostheses. On the basic neuroscience side, Dr Wong studies the role of the local field potentials in communication across brain areas and in multi-effector decision making, reward learning and movement planning. This is done with a mix of recording techniques from in vivo electrophysiology, to EEG, MEG and fMRI.
Dr. Wu received his PhD in Electrical Engineering from the University of Southern California. He is now Professor in the School of Automation, Huazhong University of Science and Technology, Wuhan, China, and directs its Brain-Computer Interface and Machine Learning Lab. His research interests include affective computing, brain-computer interfaces, computational intelligence, and machine learning. He has published over 100 papers in these areas. He is also an Associate Editor of the IEEE Computational Intelligence Magazine, and the IEEE Transactions on Human-Machine Systems.
Professor of Neuro-engineering and Neuro-imaging
Editor of Brain Topography
Editor of Physiological Measurement
Director, Center for Information in Medicine, University of Electronic Science and Technology of China
Dr. Yao’s research interests include EEG inverse and forward, quantitative EEG (qEEG), simultaneous EEG and fMRI, and Brain-Apparatus Conversation (Bacomics). He got his first PhD in Applied Geophysics (1991) at Chengdu University of Technology, and second PhD in Biomedical Science (2005) at Aalborg University. He is a full professor since 1995, a Changjiang Scholar Professor (2006), and the Director of Key Laboratory for NeuroInformation of Ministry of Education of China, and the Director of International Joint Research center for Neuroinformation of Ministry of Science and Technology of China. He is an AIMBE Fellow (2017) and “Roy John Award” winner (2018).
Associate Professor – Department of Electronic Engineering
Deputy Director – Advanced Center for Electrical and Electronic Engineering
Lab Director – Voice Production Laboratory
IEEE Senior Member
Matías Zañartu is an Associate Professor in the Department of Electronic Engineering and the Head of the Biomedical Engineering research of the Advanced Center for Electrical and Electronic Engineering at Universidad Técnica Federico Santa María in Valparaiso, Chile. He received his Ph.D. and M.S. degrees in electrical and computer engineering from Purdue University, West Lafayette, USA, and his B.S. in acoustical engineering from Universidad Tecnológica Vicente Pérez Rosales, Santiago, Chile. His interests are centered on the development of digital signal processing, system modeling, and biomedical engineering tools that involve speech, audio, and acoustics. His recent research efforts have revolved around developing quantitative models that describe nonlinear effects in human speech production, and applying these physiological descriptions for the development of communication and clinical technologies.
Professor, Department of Physical Medicine and Rehabilitation
Dr. Ping Zhou is a Professor in Physical Medicine and Rehabilitation at the University of Texas Health Science Center at Houston (UTHealth), TX, USA. He directs the NeuroMyo Engineering for Rehabilitation Laboratory of the TIRR Memorial Hermann Hospital, Houston, TX, USA, and the Neuromuscular Performance & Rehabilitation Laboratory of the Guangdong Work Injury Rehabilitation Hospital, Guangzhou, China. His current research interests include biomedical signal (in particular, EMG) processing, motor unit pathophysiology after neurological injuries, noninvasive electrodiagnosis of neuromuscular diseases, advanced myoelectric control, and assistive devices for neurorehabilitation.