A Special Issue on: Soft Computing & Artificial Intelligence for wire/wireless Human-Machine Interface Systems

Introduction

The human-machine interface systems contain both hardware and software, which are necessarily recognized as computerized devices. Still, these systems control the functionality and perceived quality of the service. Digital Signal Processor (DSP) and Field-Programmable Gate Arrays (FPGAs) have been used in hardware-centric models to increase processing efficiencies a few years back. With technological advancements in electronics, wireless communication, Image and video data transmission, cognitive computing and robotics, it will not be long until the object size scales down to small processors and small Distributed with itself. Increasing the system performance with the existing computing technologies is not sufficient. The advancements are rising demand for the latest technologies like soft computing, Grid/Fog Computing, and Artificial Intelligence (AI). Cutting-edge technologies are moving towards software-driven industrial systems. Advancements are leading the Human Machine interface software and hardware industry to develop more and more. This demand also corresponds to the advent of advanced human-machine interfaces, intelligent sensors, real-time data acquisition, IoT and cloud computing.

These soft & AI computing-based software systems are replacements for low computational systems. This soft computing is used to interconnect and communicate the devices integrated into our daily lives. These needs are increased parallelly the problems raised in the user-centric and industry-centric. These problems are prone to invent new technologies in this domain and find solutions for industry 4.0 needs. New technologies like soft computing, Artificial Intelligence (AI), Deep Learning, Machine Learning, and Neural networks are applied to uncertainty in Human-Machine interface systems to solve unsolved problems. A new category of computing architectures called neuromorphic processors or brain-inspired computing will become mainstream for Human Machine Interface system applications.

Recommended topics (but not limited to)

This special issue aims to motivate researchers to publish their latest research on the problems, challenges, and solutions in soft computing techniques, Artificial Intelligence based devices and real-time Computer-aided applications. The proposed submissions and presentations should be original and unpublished works. Potential topics include, but are not limited to:

  • AI based Human Machine interface System Architectures
  • Soft computing based Multi-Core Systems
  • Systems and Design Methods for AI
  • Soft computing-based Systems and Networks
  • Security Issues for Human Machine interface Systems
  • Software Tools and Infrastructure for interface systems
  • Testing and Verification
  • Emergent Computer Architecture for Distributed Systems
  • Networking with Soft computing & AI
  • Mobile Computing Architecture and Networks
  • Image and Video processing for Human Machine interface
  • Real-Time Aspects of Wireless Networks
  • Machine Learning & Deep Learning applications

Important dates

Submission deadline: 15 April, 2024

Authors notification: 31 May, 2024

Revision submission: 30 June, 2024

Final manuscript due: 31 July, 2024

Completion of Special Issue: September, 2024

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

Dr. B. Anil Kumar, K L University, Hyderabad, India, email: b.anilkumar@klh.edu.in

Dr. Budati Anil Kumar received a Ph.D. Degree in Electronics and Communication Engineering from GITAM Deemed to be University, Hyderabad in 2019, and M.Tech. Degree from the LBRCE (JNTUK Kakinada), Mylavaram in 2010. B.Tech Degree from VYCET (JNTU Hyderabad), Chirala in 2007. He is currently working as an Associate Professor in ECE Department, Koneru Lakshmaiah Education Foundation, Hyderabad, India-500075, Telangana State, India. He has more than 13 years of experience in teaching and six years of experience in research. Besides, he has published 50 research articles in highly reputed publisher journals and conferences whose indexing in SCIE, SCOPUS, etc. He acts as Guest Editor for Peer-to-Peer Networking Journal (Springer Publisher), Cluster Computing Journal (Springer Publisher), IJPCC (Emerald Publisher), IET CAAI Transactions on Intelligence Technology, IET Networks, SWCC Journal (Bentham science Publisher) and IJSCC (Inderscience Publisher), IJUWBCS (Inderscience Publisher) Journals. He has authored/edited textbooks entitled “Cognitive Radio: Computing Techniques, Network Security and challenges” which is published by Taylor and Francis’s publisher, U.K., and “Cognitive Computing Models in Communication Systems” which is published by Wiley & Scrivener Publishing, U.K. He is a Senior member of IEEE, Member of IEI and Fellow of IETE since 2019 and has served as a reviewer for various international journals and conferences. He has conducted various FDPs as a coordinator, which is funded by AICTE New Delhi, DST New Delhi and other agencies. He has attended various FDPs and Conferences/workshops in India and abroad and also acted as speaker/session chair in various FDPs and Conferences. He was also serving as a supervisor for Ph.D research scholars under multiple Universities in India. His current research interests include Cognitive Radio Networks, Software Defined Radio Networks, Artificial Intelligence, 6G emerging Technologies, Mulsemedia Computing and UAVs in 5G and 6G.

Dr. S.B.Goyal, Director Faculty of Information Technology, City University of Malaysia, Malaysia, email: sb.goyal@city.edu.my

Dr S B Goyal had completed PhD in the Computer Science & Engineering from Banasthali University, Rajasthan, INDIA in 2012 and served many institutions in many different academic and administrative positions. He is holding 19+ years of work experience at national and international level. He has peerless inquisitiveness and enthusiasm to get abreast with the latest development in the IT field. He has good command over Industry Revolution (IR) 4.0 technologies like Big-Data, Data Science, Artificial Intelligence & Blockchain, Cloud Computing etc. He is the first one to introduce IR 4.0 including Blockchain technology in the academic curriculum in Malaysian Universities. He had participated as a speaker in the Bloconomic 2019 event on Blockchain and World AI Show 2021 event on AI. He had participated in many panel discussions on IR 4.0 technologies at academia as well as industry platforms. He is serving as a reviewer or guest editors in many Journals published by IEEE, Inderscience, IGI Global, Springer. He is contributing as an Editor, Co-Editor in many Scopus books. He is an IEEE Senior member since 2013. He had contributed in many Scopus/ SCI Journal/ conferences. He is holding 7 International Patents/ copyrights from Australia and India. He had received many academic excellence awards at National and International level. He is a senior member of IEEE society since 2013. Currently, Dr Goyal is holding the position of Director, Faculty of Information Technology, City University, MALAYSIA. His research interest areas are Blockchain, Artificial Intelligence, Cloud Computing, Cyber Security, Internet of Things, Data Mining & warehousing, Method Engineering etc.

Dr. Achyut Shankar, University of Warwick, United Kingdom, email: achyutshankar@gmail.com

Dr. Achyut Shankar received the bachelor’s degree in computer science and engineering from Dr. M.G.R. University, Chennai, the master’s degree in computer science and engineering from SRM University, Chennai, and the Ph.D. degree in computer science and engineering with a major in wireless sensor network from VIT University, Vellore, India. He has been working as a Visiting Professor at University of Warwick, United Kingdom since March 2022. He has published more than 45 research articles in reputed international conferences and journals. He is also a member of ACM. He received research award for excellence in research for the year 2016 and 2017. He had organized many special sessions with Scopus Indexed International Conferences worldwide, proceedings of which were published by Springer, IEEE, Elsevier, and so on. He is currently serving as a Reviewer for IEEE Transactions on Intelligent Transportation Systems, IEEE Sensors Journal, and other prestigious conferences. His research interests include wireless sensor networks, machine learning, the Internet of Things, block-chain, and cloud computing.

Dr. Li Xing Wang, Professor, Henan Polytechnic University, Jiaozuo, China, email: lixingwang@hpu.edu.cn

Dr. Xingwang Li (S’13-M’15-SM’20) is an Associate Professor at the School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, China, from Jul. 2015. He was also a Visiting Researcher with Pro. Ping Zhang and Dr. Michail at State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing China, and the Institute of Electronics, Communications and Information Technology (ECIT), Queen’s University Belfast, Belfast, UK. He received his Master degree and PhD degree in communication and information systems, respectively, from University of Electronic Science and Technology of China, Chengdu, China, and Beijing University of Posts and Telecommunications in Jul. 2010 and Jul. 2015, respectively. Before this, he worked at Comba as an engineer from Jul. 2010 to Aug. 2012. Dr. Li is the Senior Member of IEEE. He was listed in the World’s Top 2% Scientists by Stanford University for citation impact in 2021. He is now the editor on the editorial board of IEEE Transactions on Intelligent Transportation Systems, IEEE Transactions on Vehicular Technology, IEEE Systems Journal, IEEE Sensors Journal, Physical Communication, Wireless Communications and Mobile Computing, EURASIP Journal on Wireless Communications and Networking, Journal of Communication and Networks, KSII Transactions on Internet and Information Systems. He served as Editor on the editorial board of IEEE Access, IET Networks, IET Quantum Communication. He is the Guest Editor for the special issue on Integrated Sensing and Communications (ISAC) for 6G IoE of IEEE Internet of Things Journal, Computational Intelligence and Advanced Learning for Next-Generation Industrial IoT of IEEE Transactions on Network Science and Engineering, AI driven Internet of Medical Things for Smart Healthcare Applications: Challenges, and Future Trends of the IEEE Journal of Biomedical and Health Informatics, etc. He has served as many TPC members, such as IEEE ICC, GLOBECOM, WCNC, VTC, ICCC, etc. He is also the Co-Chair of IEEE/IET CSNDSP 2020 of the Green Communications and Networks track. He was an Exemplary Reviewer for IEEE Transactions on Communications for 2022. His research interests span wireless communication, intelligent transport system, artificial intelligence, Internet of things.

Published in 2024