Advisory Board and Editors Brain-Computer Interface
Berdakh Abibullaev
Dr. Berdakh Abibullaev received his M.Sc. and Ph.D. in electronic engineering from Yeungnam University, South Korea. He held research scientist positions at Daegu-Gyeongbuk Institute of Science and Technology and Samsung Medical Center, Seoul. He is currently an Associate Professor at Robotics Department, Nazarbayev University, Kazakhstan. His research focuses on machine learning, neural signal processing and Brain-Computer/Machine Interfaces.
Syed M. Anwar
Associate Professor at the Department of Software Engineering, University of Engineering and Technology, Taxila. PhD from University of Sheffield, UK and Fulbright Fellow at University of Central Florida, USA
Siddhartha Bhattacharyya
Dr. Siddhartha Bhattacharyya is currently serving as a Professor in the Department of Computer Science and Engineering of Christ University, Bangalore. He is a co-author of 5 books and the co-editor of 60 books and has more than 300 research publications in international journals and conference proceedings to his credit. He has got two PCTs to his credit. He has been a member of the organizing and technical program committees of several national and international conferences.
His research interests include hybrid intelligence, pattern recognition, multimedia data processing, social networks and quantum computing.
Emiliano Brunamonti
I am Associate Professor at the Department of Physiology and Pharmacology of SAPIENZA, University of Rome, since 2019. After graduating in Experimental Psychology at SAPIENZA, University of Rome, I obtained a PhD in Behavioral Neurophysiology at the same University. From 2005 to 2010 I worked at the Department of Physiology of Queen's University, Kingston (ON), Canada and the Institut Universitari de Audiovisual, University Pompeu Fabra, Barcelona, Espana, focusing my research on the study of the neuronal correlate of motor decision in cortical brain areas. Since 2011 I have been working at the Department of Physiology and Pharmacology of SAPIENZA, University of Rome, focusing my research on the study of the neuronal correlates of inferential reasoning in both humans and monkeys.
Krishnendu Chakrabarty
Current research is focused on testing & design-for-testability of integrated circuits; digital microfluidics, biochips, & cyberphysical systems; optimization of digital print and production system infrastructure. Currently an ACM Distinguished Speaker & has been a Distinguished Visitor of the IEEE Computer Society. Recipient of many awards, including the Humboldt Research Award. Editor-in-Chief of ACM Journal on Emerging Technologies in Computing Systems and IEEE Transactions on VLSI Systems.
Vincent Chen
Dr. Vincent Chen's research is dedicated to advancing biomedical applications in physical rehabilitation, with a primary emphasis on neuromodulation, biomechanics, sports, and wellness. Positioned at the crossroads of engineering and healthcare, his work tackles significant challenges while cultivating a collaborative and innovative environment. The overarching objective is to methodically explore mechanisms of the human body, systematically isolating neurological or musculoskeletal problems to discern optimal and targeted solutions. This systematic approach seeks to furnish clinicians with a comprehensive understanding of specific disorders, particularly those that may profoundly affect an individual's well-being.
Giulia Cisotto
Giulia Cisotto is an Assistant Professor (tenure-track) at the Department of Mathematics, Informatics, and Geosciences of the University of Trieste (Italy). She is an IEEE Senior member and a GRIN member. Her research activity is mainly focused on the processing and modeling of complex systems via machine learning and deep learning techniques, with particular expertise in multi-dimensional electroencephalographic (EEG) time-series. She has always been collaborating with several companies and research Hospitals to promote the impact of academic research into the Society. She is also active in the dissemination of science (as a member of the Association "La Via delle Scienze", Italy) and in the promotion of innovative teaching of science in the Academia.
Gopikrishna Deshpande
Prof. Gopikrishna Deshpande is a Professor of Electrical and Computer Engineering at Auburn University. He obtained his Ph.D. in Medical Imaging from Georgia Institute of Technology and his M.S. in Electrical and Computer Engineering from the Indian Institute of Science.
Prof. Deshpande's research interests and expertise include neuroimaging, functional magnetic resonance imaging (fMRI), brain connectivity, signal/image processing and machine learning.
Shanmuga Sundar Dhanabalan
Dr. Shanmuga Sundar Dhanabalan is an accomplished researcher with a proven track record in designing, developing, and translating micro- and nano-scale devices. CIA’s primary objective is to advance the field of medical and healthcare by creating next-generation products that enhance quality of life and well-being, making a significant contribution to society. He is currently leading a team developing ‘wearable and connected sensors’ at RMIT University, focusing on materials, flexible and stretchable devices, wearables, optics, and photonics. CIA graduated with a Ph.D. in flexible electronics in June 2017. He secured a competitive Postdoctoral Fellowship from the Chilean government from 2018 to 2021. In 2021, he joined as a Research Fellow at RMIT University in Melbourne. CIA studies have led to 38 publications in referred international journals, 1 provisional patent, 1 Indian patent, 10 book chapters, and 7 books in progress as editor. He has presented at 19 national and international conferences. Several outcomes have been highlighted by scientific websites (such as Photonics Media, USA). CIA's research work has led to securing grants from Australian government research schemes, such as the Cooperative Research Centres Projects, the ARC Research Hub for Connected Sensors for Health, Victorian Medical Research Acceleration Fund, and the Advanced Manufacturing Growth Centre's Commercialisation Fund.
Stefano Ferraina
Professor of Human Physiology, I'm a systems neuroscientist and neurologist by training. My current researches include the study of the cognitive aspects of motor control and the neural correlates of hierarchical learning in human and non-human primates. I'm also interested to multidimensional signal analysis and to the progress of neurotechnologies for developing innovative brain-computer interfaces.
Simone Fontana
Prof. Simone Fontana is an assistant professor at Università degli Studi di Milano - Bicocca.
His main research activity is in the field of 3D robot perception, with special attention to point clouds registration, a problem for which he has developed a benchmark. More recently, Dr. Fontana's research has focused on the use of informatics techniques for neuropsicology and neuroscience.
He is a co-investigator of the DriveWin project, which aims to investigate the effects of different types of non-invasive neurostimulation on attention while driving. Attention was assessed on a driving simulator and two age groups were compared.
Prof. Fontana is also a lecturer at the School of Law and at the Advanced Specialization School in Neuropsychology.
Hemant Ghayvat
I am an Associate Professor at Linnaeus University, where my research and teaching center on AI-enabled systems for healthcare and smart environments. My work leverages the power of IoT, machine learning, and deep learning to create practical solutions, from contactless heart monitoring to smart home technologies that support assisted living. I am passionate about using technology to improve well-being and create more intelligent, responsive environments.