Advisory Board and Editors Brain-Computer Interface
Abdel Hamid Soliman
Dr Soliman has over 30 years of experience in the academic and industrial fields. He has a multidisciplinary academic/research experience in digital signal processing, telecommunications, data acquisition systems, WSN, IoT, Fibre Optics communication and image/video processing. He is working to harness and integrate different technologies towards implementing smart systems to contribute to smart cities and real-life applications. His research activities are not limited to the national level within the UK but are internationally extended to many partner Universities in various countries. His research has produced over 50 refereed papers.
In addition to his research activities, he is involved in several enterprise projects and consultancy activities for national and international companies. Since 2007 he has been leading and involved in several externally funded projects on national, European and international levels totalling more than £20M.
Dr Soliman’s work has been recognised through several awards such as: Lord Stafford award “Impact through Innovation”, for Designing and developing a smart monitoring and controlling system for diabetic people. The AWM ICT Excellence awards for “Best Knowledge Transfer project” category, for Designing and developing an electronic bladder diary, and UHNS “Clinical Innovation” award, for Designing and developing an online multimedia-based training system for surgeons.
Easter S Suviseshamuthu
Dr. Suviseshamuthu is an Associate Research Scientist at the Human Performance and Engineering Research Lab, Kessler Foundation, West Orange, NJ, U.S.A., since Dec. 2015.
He received the B.E. degree in Electronics and Communication Engineering from the Government College of Engineering, Tirunelveli, India (1988), the M.E. degree in Applied Electronics from Bharathiar University, Coimbatore, India (2001), and the Ph.D. in Multispectral Satellite Image Analysis from the Laboratoire des Sciences de l’Information et des Systèmes, Université de la Méditerranée, Marseille, France (2007). He was Post-Doctoral Fellow at the Bioimaging and Biostructure Institute, Italian National Research Council, Naples, Italy, (2008 to 2010), the Department of Mathematical Engineering, Université catholique de Louvain, Louvain-la-Neuve, Belgium, (2010 to 2014), and the GIPSA-Lab, Université Joseph Fourier, Grenoble, France (2014 to 2015).
His research focus encompasses statistical signal processing, blind source separation, medical imaging, optimization on matrix manifolds, machine learning, biomedical signal analysis, and bio-inspired computing. He serves as Associate Editor of IEEE Access.
Steven John Thompson
I teach at Savannah State University and at University of Maryland Global Campus. Former faculty at Johns Hopkins University, Dartmouth College, UC Davis. I have been teaching college students for over 20 years. My research expertise is in Internet phenomena: access, addiction, agency, control, dependency, governance, and policy; and engineering ethics in Science, Technology, and Society (STS) merging the Internet with physical bodies. I am the Editor for Machine Law, Ethics and Morality in the Age of Artificial Intelligence (2021); Androids, Cyborgs, and Robots in Contemporary Culture and Society (2017); and, Global Issues and Ethical Considerations in Human Enhancement Technologies (2014).
Marcus Fraga Vieira
Prof. Marcus Vieira is the Bioengineering and Biomechanics Laboratory head at Universidade Federal de Goiás. He received BS in Electrical Engineering and Physical Education from the Universidade Federal de Goiás, and MSc and PhD in Biomedical Engineering from the Universidade de São Paulo. He focuses his research in computational neuroscience and biomechanics, especially in motoneuron modeling, spinal CPG, nonlinear tools for movement variability analysis, including entropy, fractal dimension and recurrence analysis, coherence analysis in postural control, transitory tasks such as gait initiation, and gait dynamic stability.
Ramana Vinjamuri
Ramana Vinjamuri received his undergraduate degree in Electrical Engineering from Kakatiya University (India) in 2002. He received his MSc in Electrical Engineering from Villanova University in 2004, specializing in Bioinstrumentation. He received his Ph.D. in Electrical Engineering from University of Pittsburgh in 2008, specializing in Dimensionality Reduction in Control and Coordination of the Human Hand. He worked as a postdoctoral fellow (2008-2012) in the field of Brain-Machine Interfaces (BMI) to control prosthesis in the School of Medicine, University of Pittsburgh. He worked as a Research Assistant Professor in the Department of Biomedical Engineering at the Johns Hopkins University (2012-2013). He worked as an Assistant Professor in the Department of Biomedical Engineering at Stevens Institute of Technology (2013-2020). He was the recipient of the Harvey N Davis Distinguished Teaching Award in 2018 at Stevens. His research at Stevens was supported by Research and Innovation grants from the New Jersey Health Foundation. He received the NSF CAREER Award in 2019 and NSF IUCRC Planning Grant Award in 2020 respectively. He also holds a secondary appointment as an Adjunct Assistant Professor at the Indian Institute of Technology, Hyderabad, India. His research interests are in the areas of – brain-computer interfaces, neuroprosthetics and exoskeletons, machine learning, and signal processing.
Feng Xia
I work in artificial intelligence (AI), digital health, and systems engineering, with particular interest in graph learning, brain science, and robotics.
Sergiy Yakovenko
Dr. Yakovenko is an associate professor in Rockefeller Neuroscience Institute in West Virginia University, where his laboratory develops interdisciplinary expertise in neurophysiology and computational neuroscience to address questions in system motor control. The research program is focused on developing reliable neural interfaces capable of controlling dexterous prosthetic devices.
Su Yan
Dr. Su Yan received his Ph.D. degree in electrical and computer engineering from the University of Illinois at Urbana–Champaign (UIUC), Urbana, IL, USA, in 2016. Currently, he is an Assistant Professor and Director of Graduate Studies in the Department of Electrical Engineering and Computer Science, at Howard University, Washington, DC. He has authored or coauthored over 100 papers in refereed journals and conferences and one book chapter. His current research interests include nonlinear electromagnetic and multiphysics problems, electromagnetic scattering and radiation, numerical methods in computational electromagnetics, especially continuous and discontinuous Galerkin finite element methods, integral-equation-based methods, domain decomposition methods, fast algorithms, and preconditioning techniques. Dr. Yan is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), and a Life Member of the Applied Computational Electromagnetics Society (ACES). He was a recipient of the ACES Early Career Award “for contributions to linear and nonlinear electromagnetic and multiphysics modeling and simulation methods" by ACES in 2020, the P. D. Coleman Outstanding Research Award and the Yuen T. Lo Outstanding Research Award by UIUC, in 2015 and 2014, respectively. He was also a recipient of the Edward E. Altschuler AP-S Magazine Prize Paper Award by IEEE Antennas and Propagation Society in 2020.