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
Muhammad Asif
Dr Muhammad Asif is currently working as Director, Graduate Studies and Reserach and Tenured Associate Professor of Computer Science. He also served as Chairman of the Department of Computer Science at National Textile University, Faisalabad, till November 04, 2020. Before this, he was a research scholar in the Computer Science and Information Management Department at the Asian Institute of Technology, Thailand. He received his MS and Ph.D. from AIT in 2009 and 2012 on HEC foreign Scholarship. Over the time, he was a visiting researcher at the National Institute of Information Tokyo, Japan, where he worked on the design and development of a data collection system for infectious diseases through modern technologies. He has also worked on a very important project of the Pakistan Air Force (PAF) related to Pakistan's Air Traffic Control System. He was mainly involved in the architectural design of the systems as a software engineer. Asif is actively involved in teaching research and administration activities at the national textile University Faisalabad. He has Two PhD students who graduated in his credit and fifty-five plus MS and BS level students. He has won funded projects of more than Three Hundred (300) million from National and International funding agencies. He enjoys more than 200 impact factors from his research publications in top-class computer science journals and allied domains. He is also serving as Associate Editor of many top journals of computer science, namely, IEEE Access (IF 3.37), PlosOne (IF 3.752), Peerj Computer Science (IF 2.41), CMC (IF 3.77) and Frontiers in Communications and Networks. He is a reviewer of several reputed journals and authored a number of research papers in reputed journals and conferences. He is also a permanent member of the Punjab Public Service Commission (PPSC) as an advisor and program evaluator at the National Computing Education Accreditation Council (NCEAC) Islamabad.
Valentina Emilia Balas
Valentina E. Balas is currently Full Professor at the Faculty of Engineering, “Aurel Vlaicu” University of Arad, Romania.
She holds a Ph.D. in Applied Electronics and Telecommunications from Polytechnic University of Timisoara. Dr. Balas is author of more than 350 research papers. Her research interests are in Intelligent Systems, Fuzzy Control, Soft Computing.
She is the Editor-in Chief to IJAIP and to IJCSysE, and is evaluator expert for national, international projects.
Dr. Balas is the director of Intelligent Systems Research Centre in Aurel Vlaicu University of Arad and Director of the Department of International Relations.
She served as General Chair of SOFA conferences in nine editions organized in the interval 2005-2020 and held in Romania and Hungary.
Dr. Balas participated in many international conferences as Organizer, Honorary Chair, Session Chair, member in Steering, Advisory or International Program Committees and Keynote Speaker.
She is a member of EUSFLAT, member of SIAM and a Senior Member IEEE, member in TC Fuzzy Systems (IEEE CIS), chair of the Task Force 14 in TC Emergent Technologies (IEEE CIS), member in TC Soft Computing (IEEE SMCS).
Dr. Balas was past Vice-president ( Awards) of IFSA -(2013-2015), is a Joint Secretary of the Governing Council of Forum for Interdisciplinary Mathematics. She is the recipient of the "Tudor Tanasescu" Prize from the Romanian Academy for contributions in the field of soft computing methods (2019) and “Stefan Odobleja” Prize from Romanian Academy of Scientists (2023).
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 C-F Chen
Dr. Vincent Chen is an assistant professor of biomedical engineering with expertise in neuromodulation and rehabilitation engineering. He received his B.S., M.S., and Ph.D. degrees in Electrical Engineering from National Taiwan University, and pursued a career in the tech industry while working on his graduate degrees. Before joining Loyola Chicago, he worked as a postdoctoral fellow at Harvard Medical School, Department of Physical Medicine and Rehabilitation and conducted clinical research at the Neuromodulation Center of Spaulding Rehabilitation Hospital in Boston. His experience in the tech industry and knowledge in the clinical rehabilitation field has enabled him to play a unique role in many research projects focusing on the development of neurorehabilitation devices.
Angelo Ciaramella
Angelo Ciaramella received the Laurea degree (cum laude) in Computer Science and he is Associate Professor at the University of Naples “Parthenope”. The main research interests of Angelo Ciaramella are Soft Computing, Machine Learning and Data Mining. In particular he is interested in statistical and Machine Learning approaches for Blind Source Separation, Sparse Coding, Compressive Sensing and Dictionary Learning, for signal processing (i.e., audio, streaming, astrophysical and geological) and feature extraction. Moreover, he has been working on fuzzy and neuro-fuzzy systems for structured and unstructured data. Recently, he is interested for developing Fuzzy Decision Support Systems in risk assessment. He also studied and developed new methodologies for pre-processing, clustering, visualization and assessment of biological, air quality and social network data (e.g., twitter). Recently, he is also interested in signal processing by Deep Learning methodologies in Brain Computer Interfaces. He is associate editor of international journals (i.e., Information Sciences, Soft Computing, International Journal on Artificial Intelligence Tools). He has been co-general Chair (IDCS2019), technical chair (CIBB2018) and organizer chair of Special Sessions. He is in the Program Committee of international conferences. He is a Fellow Member of IEEE and member IEEE Computational Intelligence Society, IEEE Signal Processing, SIREN, GIRPR, AIxIA.
Robertas Damaševičius
ROBERTAS DAMAŠEVIČIUS received his Ph.D. in Informatics Engineering from Kaunas University of Technology (Lithuania) in 2005. His research interests include sustainable software engineering, human–computer interfaces, assisted living, data mining and machine learning. He is the author of over 300 papers as well as a monograph published by Springer. He is also the Editor-in-Chief of the Information Technology and Control journal and has been the Guest Editor of several invited issues of international journals (Biomed Research International, Computational Intelligence and Neuroscience, Journal of Healthcare Engineering, IEEE Access, and Electronics). Visit his ResearchGate profile: https://www.researchgate.net/profile/Robertas_Damasevicius
Olga De Troyer
Olga De Troyer has a Masters degree in Mathematics and a Ph.D. in Computer Sciences. She has held research positions in industry and at universities. Since 1998 she is professor in the Computer Science Department of the Vrije Universiteit Brussel (Belgium) where she is co-director of the WISE research lab. Her research focus is on conceptual modeling formalisms and design methodologies. Over the years, the focus has moved from Database over Web systems towards Virtual Reality and Serious Games.
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.