We propose a special issue dedicated to exploring the dynamic intersection of Neural Networks, Neurorobotics, and Brain-Computer Interface (BCI) technology. This issue aims to provide an in-depth technical platform for researchers and practitioners to share their latest findings, methodologies, and applications related to the symbiotic evolution of these fields. The special issue seeks to delve into the integration of neural networks, neurorobotics, and BCIs, unraveling their potential for enhancing human-machine interactions, healthcare, assistive technologies, and beyond.

Recommended topics (but not limited to)

The primary objective of this special issue is to provide a platform for researchers and scientists to share and discuss the most recent innovations, trends, and concerns, as well as practical challenges and solutions adopted in the field of scalable computing algorithms for material sciences.

  • Bio-Inspired Neural Architectures: Novel neural network models and architectures inspired by the structure and functioning of the human brain, advancing learning and adaptability in AI systems.
  • Neurorobotics for Autonomous Systems: Innovations in neurorobotics that empower robots to perceive, interact with, and navigate the environment autonomously through bio-inspired algorithms.
  • BCI-Driven Prosthetics and Assistive Devices: Applications of BCI technology in developing advanced prosthetics, exoskeletons, and assistive devices that restore mobility and functionality for individuals with motor impairments.
  • Cognitive Neuroscience and AI Fusion: Exploration of the synergy between cognitive neuroscience findings and AI techniques, unraveling insights into human cognition and enhancing AI system performance.
  • Neuro feedback and Neuro rehabilitation: Utilizing BCI-enabled neurofeedback for cognitive training, neurorehabilitation, and treating neurological disorders.
  • Ethical and Privacy Considerations: Addressing the ethical implications of neural network technologies, neurorobotics, and BCIs, including privacy, security, and neuroethics.
  • Neural Control of Robotic Systems: Investigating neural control paradigms for real-time interaction and control of robotic systems, enabling intuitive and natural human-machine interfaces.
  • BCI-Enhanced Virtual and Augmented Reality: Integration of BCI technology with virtual and augmented reality environments for immersive experiences and therapeutic applications.
  • Neural Interfaces and Implants: Advancements in neural interface technologies, including brain implants and neurostimulation techniques, for seamless integration with AI systems and robots.
  • Neural Networks in Brain Signal Analysis: Leveraging neural networks for processing and analyzing brain signals, enhancing the accuracy and speed of BCI systems.

Important dates

Submission deadline: 15 October, 2024

Authors notification:  15 January, 2025

Revision submission: 15 March, 2025

Submission guidelines

Original and unpublished works on any of the topics aforementioned or related are welcome. The SCPE journal has a rigorous peer-reviewing process and papers will be reviewed by at least two referees. All submitted papers must be formatted according to the journal's instructions, which can be found here.

During submission please select a Special Issue that you want to submit to and provide this information in the Comments for the Editor field.

Guest Editors

Lead: Professor, Dr. Mustafa M Matalgah, Professor, Electrical and Computer Engineering, Professor, General Engineering, University of Mississippi, United States, email:

Mustafa M. Matalgah received his Ph.D. in Electrical and Computer Engineering in 1996 from The University of Missouri, Columbia. From 1996 to 2002, he was with Sprint, Kansas City, MO, USA, where he led various projects dealing with optical transmission systems and the evaluation and assessment of 3G wireless communication emerging technologies. In 2000, he was a Visiting Assistant Professor at The University of Missouri, Kansas City, MO, USA. Since August 2002, he has been with The University of Mississippi in Oxford where he is now an Associate Professor in the Electrical Engineering Department. In Summer 2008, he was a Visiting Professor at Chonbuk National University in South Korea. His current technical and research experience is in the fields of emerging wireless communications systems and communication networks. He also previously published in the fields of signal processing and optical binary matched filters. He has published more than 70 refereed journal and conference proceeding papers, five book chapters, and more than 20 technical industrial applied research reports in these areas. Dr. Matalgah received several certificates of recognition for his work accomplishments in the industry and academia. He is the recipient of the Best Paper Award of the IEEE ISCC 2005, La Manga del Mar Menor, Spain. He is the recipient of the 2006 School of Engineering Junior Faculty Research Award at The University of Mississippi. He served on several international conferences technical program and organization committees.

Dr. Sathishkumar Karupusamy, Gobi Arts & Science College, Tamilnadu, India, email:

Dr. Sathishkumar Karupusamy is an Assistant Professor in Gobi Arts & Science College (Autonomous), Gobichettipalayam, Tamilnadu, India. He received his Bachelor degree from Bharathiar University, Tamilnadu, India in 2006, M.Sc. Degree from Bharathiar University in 2011 and Ph.D. Degree from Bharathiar University in 2019. He is a member in various professional societies. He is an associate editor of various Journals and has served as Technical Program Committee member in various international Conferences. He has more than 9 years of teaching experience. He is working in the area of Internet of Things, Block chain, Machine Learning, Artificial Intelligence and Data Mining. He has published 4 books related to Computer Programming, Internet Applications. He has published more than 60 papers in scientific journals and International Conferences. He is a senior member of IEEE, ISC and various Academic professional Bodies. He has overseas work experience at different countries like Ghana, Nigeria. He has served as Guest Editor of several Special Issues in the past, like Journal of Mathematics, Applied Mathematics & Information Sciences, An International Journal, Computer Systems Science and Engineering (Tec science).

Professor Akhtar Kalam, JP., BSc, BScEng, MS, PhD, FIET, CEng, FAIE, FIEAust, CPEng, PEV, NER, APEC Engineer, IntPE(Aus), MCIGRE, Life Senior Member of IEEE Professor and Head of External Engagement College of Engineering and Science Victoria University, Melbourne, Australia, email:

Prof. Akhtar Kalam has been at Victoria University, Melbourne since 1985 and is currently the Head of Engineering and the Chair of the Academic Board and lectures in the Masters by coursework program at Engineering Institute of Technology, Perth, Australia. Further, he has a distinguished professorship position at the University of New South Wales, Sydney, and 5 Malaysian universities. He received his B.Sc. and B.Sc. Engineering from Calcutta University and Aligarh Muslim University, India. He completed his M.S. and Ph.D. at the University of Oklahoma, USA, and the University of Bath, UK. He has been recognized internationally and nationally for his research. He is the first person to have received the John Madsen Medal from Engineers Australia in consecutive years 2016, 2019 and 2020. The John Madsen Medal is awarded for the best paper in Australia written by a current member of Engineers Australia and published in The Australian Journal of Electrical and Electronic Engineering. His outstanding impact has most recently been highlighted by his prestigious ‘ACPE-CIGRE Outstanding Academic Award (2021) win. The award recognises an exceptional Australasian academic for outstanding career-long contributions to industry, teaching and research in electric power engineering. His areas of interest are power system analysis, communication, control, protection, renewable energy, smart grid, IEC61850 implementation, and cogeneration systems. He has conducted research, provided industrial consultancy, published over six hundred publications on his area of expertise, and written over 29 books in the area. More than 48 higher degree research students have graduated under his supervision, and he is an external examiner of many external doctoral students in Australia and overseas. He provides consultancy for major electrical utilities, manufacturers, and other industry bodies in his field of expertise. Professor Kalam is a registered Professional Engineer in the state of Victoria (PEV), Fellow of EA, IET, AIE, a l if e S e n i or M ember of IEEE, NER, APEC Engineer, IntPE (Aus) and a member of CIGRE AP B5 Study Committee.

Dr. Bilal Alhayani, Yildiz Technical University. Istanbul, Turkey, email:

Bilal ALHayani Received the B.Sc. degree in Laser Engineering from university of Technology –Baghdad, Iraq in 1999 to 2004, and the M.Sc. degree in electronics and telecommunication engineering and electromagnetic from University of Pune,India from 2011 to 2013 he was joined in Ph.D. researcher in 2014 -2020 in Electronics and communication Department in Yildiz Technical University,Istanbul, Turkey. His general research interests lie in signal processing and communication theory and signal coding on wireless communication and image processing specific research area include cooperative communication techniques.

Dr.Yu-Chen Hu, Distinguished Professor, Dept. of Computer Science and Information Management, Providence University, Taichung City 43301 Taiwan, Republic of China (ROC), email:

Yu-Chen Hu received his Ph.D. degree in computer science and information engineering fromthe Department of Computer Science and Information Engineering, National Chung Cheng University,Chiayi,Taiwan. He is a senior member of IEEE.He is also a member of the Chinese Cryptology and Information Security Association(CCISA), Computer Science and Information Management (CSIM), and Phi Tau Phi Society of the Republic of China. He joins the editorial boards of Advances in Multimedia (Hindawi), Electronics(MDPI),Intelligent Automation & Soft Computing (Tech Science Press), IET Image Processing, Mathematical Problemsin Engineering(Hindawi),etc. His research interests include digital forensics, information hiding, image and signal processing, data compression, information security, computer network, deep learning, and bioinformatics.