ELrasheed Ismail Mohommoud ZAYID received his Ph.D. in Computer Networks - Department of Computer Engineering, Cukurova University, Turkey in 2012. He received an Incentive of International Scientific Publications from the Scientific and Technological Research Council of Turkey, TUBITAK, in March 2011. He is an author of two books and many peer-reviewed papers at ISI journals and international conferences.

His research interests include Computing Networks, Machine Learning, Cybersecurity, and Multiprocessor Distributed Systems. He is an active IEEE member# 95380756 and a volunteering as a reviewer for several high- reputation publishers such as Elsevier, Springer, MDPI, and IMAN. Dr. Zayid has made a great contribution(s) to the field of his interest. Currently, he is an active Associate Professor in the Department of Information Systems, University of Bisha, Saudi Arabia.

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Eva Tuba received B. S. and M. S. degrees from Graduate School of Computer Science, John Naisbitt University and Faculty of Mathematics, University of Belgrade and Ph. D. in Computer Science from Faculty of Informatics and Computing, Singidunum University. She was teaching several mathematics and computer science courses at Graduate School of Computer Science, John Naisbitt University. Currently, she teaches at Singidunum University, Faculty of Informatics and Computing and Faculty of Technical Sciences.

Her research interests include artificial intelligence, machine learning, swarm intelligence algorithms, image processing, wireless sensor networks. Eva Tuba is the author or coauthor of more than 100 scientific papers published in journals, international conferences and chapters in Springer and Elsevier books. She is reviewer for SCI journals and international conferences. Member of the ACM, IEEE, AMS, SIAM.

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Develops research projects related to: Artificial Intelligence (AI), Big Data, Intelligent Information Systems (IIS), Internet of Things (IoT), Intelligent Transportation Systems (ITS), Smart Cities, and Sensors. Broad studies also in the Civil Engineering segment, mainly in the areas of Urban Infrastructure and Hydraulics and Hydrology.

He completed his PhD (2022) and Master's (2021) at the Faculty of Electrical and Computing Engineering (FEEC), at the State University of Campinas (UNICAMP), Graduated in Civil Engineering from Universidade Paulista (UNIP) (2019).

Since 2018, he has been a Researcher at the Visual Communications Laboratory - LCV, located at FEEC/UNICAMP, he works at the Brazilian Technology Symposium (BTSym) as Technical and Financial Director. Member of the Technical and Scientific Committee of several IEEE and Springer Nature Conferences around the world.

Reviewer of several Congresses and Journals, such as, (ACM, Elsevier, SAGE, Hindawi, IEEE, IET, Taylor Francis, Springer, and Wiley, among others) of national scope and mainly international, with more than 1100 Revisions, recognized by Publons or with Certificates issued. In addition to numerous publications in Conferences (ACM, IEEE, and Springer), and High Impact Factor Journals.

Professor at Extecamp, (Unicamp Extension School), in several disciplines since 2018, in addition to participating in the Teaching Internship Program (PED) at FEEC (Faculty of Electrical Engineering) at UNICAMP from 2019 to 2022.

Student member of the Institute of Electrical and Electronics Engineers (IEEE) (2018 to date). Student Member of the Graduate Commission of FEEC (Faculty of Electrical Engineering) UNICAMP in the 2nd Semester of 2022.

YP Chair IEEE Sensor and Systems Joint Council South Brazil (2022 to date).

Finally, Editor of Special Series of Scientific Journals, Editor of Springer Nature, (Smart Innovation, Systems, and Technologies), and IOP Publisher Invited to join as Associate Editor of Journals: IET Circuits, Devices & Systems and IET Wireless Sensor Systems (2022 -2025). And Academic Editor of the Journal PLOS ONE.

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Hai Van Pham is an Associate Professor in specialization of Artificial Intelligence (applied AI, Soft computing, machine learning, Bigdata analysis), working at the School of Information Technology and Communication, Hanoi University of Science and Technology. He received his Ph.D. in computer science in specialization in AI from Ritsumeikan University. His current research interests include Artificial Intelligence, Knowledge-based Systems, Soft computing, machine learning and Big data analysis in the trends of digital transformation, industry 4.0. Hai V. Pham has published over 100 research articles in international journals (30 research papers in ISI/ scopus index) and conference proceedings, domestic research papers and co-authored several books/’s chapters/ monographs.

He was obtained the Best Research Award of Innovation Fair 2011, Fair 2010, and Fair 2009 – Society of Advancement and Technology at Ritsumeikan, December. Hai V Pham is a senior expert, conducted research projects between HUST researchers- students and companies in applied AI and industry 4.0. He has served as a member of program, technical committees for international conferences and acts as a reviewer for international conferences and journals: IEEE transaction, IEEE access, Soft computing, Neural computing and Neural computing applications. He is also on the reviewer and editorial board of international conferences/journals, acted as a workshop Chair, Track Chair, and Program Chair for selected International Conferences for selected activities

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A seasoned academic with over nine years of university lecturing experience at three universities in two countries. I have also experience working on hands-on software development projects in the industry, having recently completed a project monitoring and evaluation tool for Lower Guruve Development Association (LGDA) for the JSB (Japanese Supplementary Budget) project funded by the Japanese Embassy in Zimbabwe. LGDA was the implementing partner, while the UN Women Zimbabwe obtained funding from the Japanese Embassy. Skilled in AI, Deep Learning, Java, C, Systems Analysis & Design, Software Development, Artificial Neural Networks, Web Development, C++, C#, ASP.NET, Linux, and Android development. Strong education professional with a Post-Graduate Diploma in Higher Education, PhD (IT), MSc (IS), BSc Hons (IT) & numerous certifications.

Dr. Le Anh Ngoc (Jimmy) holds a Ph.D. in Communication and Information Technology from Kyungpook National University, South Korea. He is currently the Director of the Swinburne Innovation Space and a Professor of Information Technology at Swinburne University of Technology, Vietnam, where he leads the Intelligent Systems and Networks Research Group (ICISN). Beginning in 2025, he also serves as the Dean of the Faculty of Semiconductor & AI at Asia University, Vietnam.

In addition, Dr. Le Anh Ngoc (Jimmy) is a Director of the International Association for Convergence Science & Technology (IACST) and the Korea Computer Industry Association (KCIA). He actively contributes to the global academic and research community as a keynote speaker, conference chair, founder of the Global Hackathon, journal editor (IET Smart Cities and Human-centric Computing and Information Sciences), technical program committee member, session chair, book editor, and peer reviewer for international conferences and journals.

Dr. Le Anh Ngoc (Jimmy) has held various leadership roles throughout his career, including Director of Development Programs at the Differentiated Automotive Platform (DAP) – FPT Global Automotive & Manufacturing, Vice-Dean of the Faculty of Electronics & Telecommunications at EPU, and Head of the Communication Network Group at Vinh University’s IT Department. He was also a researcher at the Telecommunications Networks Laboratory (TENET Lab) at Kyungpook National University.

With nearly 30 years of combined academic and industry experience, Dr. Le Anh Ngoc (Jimmy) has extensive expertise in education, research, innovation management, and technology transfer. His research interests span Embedded and Intelligent Systems, Communication Networks, IoT, Image and Video Processing, Artificial Intelligence, and Big Data Analytics.

Beyond academia, he serves as a Digital Transformation and IT Consultant, Specialist, and Mentor for organizations such as the Vietnam–Korea Businessmen and Investment Association (VKBIA), the Vietnam–Korea Experts and Intellectuals Association (VKEIA), and the Vietnam Innovation Network in Korea (VINK).

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Dr Narottam Das received his B.Sc. Eng. (Hons.) degree in Electrical and Electronics Engineering from Chittagong University of Engineering and Technology (CUET), Chittagong, Bangladesh: M.Sc. Eng. degree in Electrical and Electronics Engineering from Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh; and Ph.D. degree in Electrical Engineering from Yamagata University, Yamagata, Japan in 2000. Dr Das also received the Graduate Certificate in Tertiary and Adult Education degree from Central Queensland University Australia in 2023.

Currently, he is working as a Senior Lecturer in Electrical Engineering at the School of Engineering and Technology (Melbourne Campus), CQUniversity Australia. Prior to join at CQUniversity, he worked as a Lecturer in Electrical Engineering at University of Southern Queensland (USQ), Toowoomba, QLD, Australia; Curtin University Sarwak Campus, Miri, Malaysia and Curtin University, Perth, WA, Australia; Edith Cowan University (Joondalup Campus), WA, Monash University (Clayton Campus), VIC, Australia, NEC Yamagata Ltd., Yamagata, Japan and Bangladesh Export Import Company, Dhaka, Bangladesh. He received NEC Yamagata Ltd., Japan award in 2001 for successful completion of the project entitled “Measurement and Evaluation for UMOS2 (Ultra-fast MOSFET2) TEG”.

He is the author/co-author of 4 books, 8 books chapters, over 220 referred international reputed journal papers and conference proceedings, and more than 20 industrial technical reports at NEC Yamagata Ltd., Japan. Dr. Das is a Senior member of the IEEE, Fellow, and CPEng. of the Institute of Engineers, Australia, and Life fellow of the Institute of Engineers, Bangladesh.

His research interests include Power and Energy Systems, Power system communications, IEC 61850 for substation automation system, renewable (high-efficiency solar cells) energy technology and smart grid system, pulse propagation, optical non-linearity, wave-mixing, high speed communication devices, plasmonics and plasmonics based photodetectors. He is a regular reviewer for the IEEE Transaction papers and other Journal and conference papers in the area of communications and renewable energy (solar cells). Dr. Das is the editor of the books “Nano-structured Solar Cells”, “Advances in Optical Communication”, “Optical Communications Systems”, and “Optical Communication”, Intech Publisher, Vienna, Austria.

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Dr Philip Moore obtained a First-Class Honors degree (B.Sc. Hons) in computing with artificial intelligence with the award of a Masters degree (M.Sc.) in computing (Internet applications) at the University of Central England in Birmingham, United Kingdom. Following the M.Sc., he has been awarded a Doctor of Engineering degree (Ph.D.) by the Graduate School of Engineering at Fukuoka Institute of Technology, Japan for the development of a novel generic context-processing algorithm for the delivery of personalized services in intelligent context-aware systems. He is an experienced construction professional and is a qualified quantity surveyor, an experienced contracts manager, project manager, and has experience in building design. He is experienced in project planning and building design.

He is a Chartered Builder and a full member (MCIOB) of The Chartered Institute of Building. He has been appointed to the position of Master Supervisor and Adjunct professor at the School of information science and Engineering, Lanzhou University, Lanzhou, Gansu. P. R. China and is a Guest Professor at Shandong Normal University, Jinan, P.R. China. His work addresses intelligent context-aware systems in diverse domains including e-Healthcare (health monitoring systems) and e-Learning and engagement with semantic data representation including ontology-based context modeling. His interests include: intelligent context processing, ontology-based context modeling implemented in event-driven fuzzy rule-based systems, the development of data structures for context-aware systems including the use of structured and unstructured data, and semantic representation using cognitive factors and the integration of emotional response to internal and external stimuli. Additional interests include: the human brain and machine cognition and consciousness as it relates to intelligent context-aware systems plus implementing context-awareness using evolutionary programming and nature inspired systems. He is a member of the Elsevier Advisory Panel and is a member of the editorial board of International Journals. He is a member of the Technological Committee on Computational Psychophysiology (CP-TC) in IEEE SMC Society and has edited computing books and special issues for International Journals. He is Ph.D. supervisor and examiner, project consultant, and has served as program chair, local organizer, workshop chair, track chair, and a member of technical program committees for international conferences. He has presented invited talks and keynote talks. He is a reviewer for international conferences and high-impact journals. His work has been published in international conference proceedings, journals, Lecture Notes in Computer Science, and books.

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Dr. Pritee Parwekar is Professor in the Department of Computer Science Engineering at GITAM University , Hyderabad, India. She has been an academician for the last 23+ years. She has done Post Doctorate from JNU, Delhi. She has been awarded PhD from GITAM University, Visakhapatnam in the area of Wireless Sensor Networks. She is MTech and BTech in Computer Science & Engineering from Andhra University main campus, Visakhapatnam and Nagpur University respectively.

Her research specialization include: internet of things towards cloud of things,COBERT: COVID-19 question answering system using BERT, Human Gait Analysis for Osteoarthritis Prediction: A framework of Deep Learning and Kernel Extreme Learning Machine,Prediction of Coefficient of Consolidation in Soil using Machine Learning Techniques, An efficient fuzzy localization approach in Wireless Sensor Networks

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Dr.S.Kannadhasan is an Associate Professor and HoD in the Department of Electronics and Communication Engineering at Study World College of Engineering, Coimbatore, Tamil Nadu, India. He earned his Ph.D. in smart antennas from Anna University in 2022. He has thirteen years of teaching and research experience. He obtained his B.E. in ECE from Sethu Institute of Technology, Kariapatti, in 2009 and his M.E. in Communication Systems from Velammal College of Engineering and Technology, Madurai, in 2013. He obtained his M.B.A. in Human Resources Management from Tamil Nadu Open University, Chennai.

He has published approximately 132 papers in reputable international journals indexed by SCI, Scopus, Web of Science, and Major Indexing, and has presented or published more than 250 papers in national and international journals and conferences. Additionally, he has contributed a book chapter. He also serves as a board member, reviewer, speaker, session chair, and member of the advisory and technical committees of various colleges and conferences. He is also expected to participate in various workshops, seminars, conferences, faculty development programmes, STTP, and online courses. His areas of interest are smart antennas, digital signal processing, wireless communication, wireless networks, embedded systems, network security, optical communication, microwave antennas, electromagnetic compatibility and interference, wireless sensor networks, digital image processing, satellite communication, cognitive radio design, and soft computing techniques. He is a member of SMIEEE, ACM, IET, ISTE, FIEI, FIETE, CSI, IAENG, SEEE, IEAE, INSC, IARDO, ISRPM, IACSIT, ICSES, SPG, SDIWC, IJSPR, GSTE and the EAI Community.

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