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
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 Full 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 (BBCC2023, ITADATA2023, PDP2023, 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.
Giulia Cisotto
Giulia Cisotto is an Assistant Professor at the Department of Computer Science of the University of Milan-Bicocca (Milan, Italy) funded by the Italian Ministry of University and Research (PON "Innovation and Green" 2014-2020 action IV.6). She is member of the Modeling Uncertainty, Decisions and Interaction (MUDI) Lab, IEEE Senior member and 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 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.
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.
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.