Early Pub Current Issue

Volume: 5 Issue: 1

Year: 2025

Research Articles

Review Article

6. Multi-Criteria Recommender System for Optimization Product Based on Automatic Execution of Smart Contracts in a Blockchain Serious Game

Reviews

Ömer Aydın
Assoc. Prof. Dr. Ömer AYDIN MANİSA CELÂL BAYAR ÜNİVERSİTESİ, MÜHENDİSLİK FAKÜLTESİ, ELEKTRİK-ELEKTRONİK MÜHENDİSLİĞİ BÖLÜMÜ Web
Management Information Systems, Bioinformatics, Machine Learning (Other), Cybersecurity and Privacy (Other), Modelling and Simulation
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Prof. Dr. Aybeyan SELİM International Vision University
Information Security and Cryptology, Applied Mathematics
Dr. Biswadip Basu Mallik
Prof. Dr. Biswadip BASU MALLİK Institute of Engineering & Management (School of University of Engineering and Management), Kolkata Web

Dr. Biswadip Basu Mallik is currently a Professor of Mathematics in the Department of Basic Science & Humanities at the Institute of Engineering & Management, University of Engineering and Management, Kolkata, India. With over 22 years of experience in teaching and research, he has published numerous research papers and book chapters in scientific journals from esteemed international publishers such as CRC Press, Apple, Wiley, IGI Global, Springer, Nova Science, IEEE etc. Dr. Basu Mallik has authored five undergraduate-level books on Engineering Mathematics, Quantitative Methods, and Computational Intelligence. He has also published five Indian patents and edited twenty one books. His research interests include Computational Fluid Dynamics, Mathematical Modeling, Optimization, and Machine Learning. He serves as the Series Editor for the book series titled Mathematics and Computer Science from Wiley-Scrivener, USA, and is the Managing Editor of the Journal of Mathematical Sciences & Computational Mathematics (JMSCM), USA. Additionally, Dr. Basu Mallik is an Editorial Board member and reviewer for several scientific journals. He holds senior life membership in the Operational Research Society of India (ORSI) and life membership in the Calcutta Mathematical Society (CMS), Indian Statistical Institute (ISI), Indian Science Congress Association (ISCA), and the International Association of Engineers (IAENG).

Modelling and Simulation, Computational Methods in Fluid Flow, Heat and Mass Transfer (Incl. Computational Fluid Dynamics), Biostatistics, Computational Statistics, Quantitative Decision Methods , Applied Statistics, Experimental Mathematics, Mathematical Optimisation, Numerical Analysis, Operations Research İn Mathematics, Theoretical and Applied Mechanics in Mathematics, Data Engineering and Data Science, Data Analysis, Satisfiability and Optimisation, Artificial Life and Complex Adaptive Systems, Statistical Analysis, Statistical Data Science, Stochastic Analysis and Modelling, Finite Element Analysis
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Prof. Edeh Michael ONYEMA Coal City University, Nigeria

Prof. Michael Onyema Edeh, PhD is currently the Deputy Dean, Faculty of Allied Health and Applied Sciences, Coal City University, Enugu. He is also a visiting Professor in several institutions including Shobhit University, India. Prof. Michael is the Head of Department, Mathematics and Computer Science at Coal City University, Nigeria. He is a Recipient of the prestigious Chancellor’s Award for Best Staff of the Year 2020, and Vice Chancellor’s Award for research Excellence 2023, both at Coal City University. He is also the current Chairman of the Nigeria Computer Society (NCS), Enugu State Chapter, Nigeria. Michael has taught Computer Science courses for both postgraduate and undergraduate students in several tertiary education institutions, including Southwestern University Ogun State; Coal City University; Spiritan University Nneochi; National Open University of Nigeria (NOUN); Alex Ekwueme Federal University Ebonyi State; Gregory University Uturu; Shobhit University India; Enugu State College of Education Technical affiliated to Nnamdi Azikiwe University Nigeria; Institute of Management and Technology (IMT) Enugu; African Thinkers Community of Inquiry College of Education (ATCOI-COE) Enugu; Pogil College of Health Technology Ogun State; and Federal Science and Technical College Ogun State. He has published more than 120 scholarly papers in reputable journals most of which are indexed in clarivate Analytics (Web of scie/thomson Reuters) with high impact factors, and also acted as an editor and reviewer for many top journals. He has acted as Keynote Speaker in many Local and top International Conferences. He has interest in cybersecurity, education, machine learning/AI and Health Informatics.

Data and Information Privacy, Data Security and Protection, Computer Forensics, Bioinformatics
Yew Kee Wong
Prof. Dr. Yew Kee WONG Hong Kong Chu Hai College

Yew Kee WONG (Eric) is a former Professor, Associate Vice-President, and Registrar at
Hong Kong Chu Hai College. He has previously served as a Professor at BASIS, Jiangxi
Normal University, and Huanghuai University. He holds a BSc (Hons) degree in Computing
Systems and a PhD in AI from Nottingham Trent University (NTU), UK. Between 2001 and
2016, he was the Senior Programme Director at The University of Hong Kong (HKUSPACE).
He currently serves as a Research Supervisor for PhD/Master students at the
Southern Institute of Technology (New Zealand). His research interests include AI, Quantum
Computing, Web3 Technology, and Big Data Analytics. Throughout his career as a researcher,
he has worked with various programming languages, including Python, Rust, R, Java,
JavaScript, C++, PHP, and SQL.


Prior to moving into the field of education, Prof. WONG (Eric) worked as an AI consultant
at Hewlett-Packard (HP) and Unisys. He has served on more than 1,500 top-tier International
Conference Chairs, Scientific/Publicity Chairs and Program/Technical Committees. Since
2016, he has actively participated in 16 International Journals as Editor-in-Chief, Associate
Editor, and Member of the Journal Editorial Board Committee. He is currently a Fellow,
Professional and Individual member of 12 Internationally renowned Professional
Organizations (IEEE, ACM, AAAI, IIBA, ISACA, AIP, BCS, IOA, ACL, CAIAC, AAIA and
ICAIL). During his career, he has held the titles of Honorary Professor, Distinguished
Professor, Adjunct Professor, Visiting Professor and Honorary Research Fellow at 14
different universities and institutions. From 1996 to present, he has published more than 180
peer-reviewed articles & research papers in top-tier academic journals, conference
proceedings, and online R&D outlets. Many of his research papers have appeared in worldrenowned
journals such as Scientific Reports, Springer Nature and IEEE. He has
supervised/co-supervised over 80 PhD/Master students.

Artificial Life and Complex Adaptive Systems
Sayısal Yöntemler, Yöneylem Araştırması, Çok Kriterli Karar Verme, Nicel Karar Teknikleri, Veri Bilimi ve Uygulamaları, Endüstri Mühendisliği ve Uygulamaları, Yapay Zeka ve Uygulamaları, Makine Öğrenmesi Teknikleri, Derin Öğrenme Teknikleri, Yalın Üretim, 6 Sigma, Üretim Planlama ve Kalite Kontrol Süreçleri
Information Systems Education, Decision Support and Group Support Systems, Management Information Systems, Information Systems (Other), Image Processing, Pattern Recognition, Operating Systems, Digitalization, Augmented Reality, Data Structures and Algorithms, Deep Learning, Adversarial Machine Learning, Supervised Learning, Machine Learning Algorithms, Extreme Learning Machines, Classification Algorithms, Machine Learning (Other), Data Security and Protection, Software and Application Security, Big Data, Data Mining and Knowledge Discovery, Data Engineering and Data Science, Data Management and Data Science (Other), Intelligent Robotics, Fuzzy Computation, Natural Language Processing, Modelling and Simulation, Planning and Decision Making, Artificial Intelligence (Other), Multiple Criteria Decision Making
Computer Vision, Image Processing, Machine Vision , Artificial Intelligence (Other)
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Assoc. Prof. Dr. Smita NİRKHİ G H Raisoni College of Engineering Web
Data Mining and Knowledge Discovery, Digital Forensics, Pattern Recognition
Pijush Dutta
Asst. Prof. Dr. Pijush DUTTA Greater Kolkata College of Engineering & Management (GKCEM)

Dr. Pijush Dutta: He presently working as an Assistant professor & head at the Department of
Electronics & Communication Engineering, Greater Kolkata College of Engineering and
Management, West Bengal, India. He has more than 12 years of teaching & more than 8 years of
research experience. He completed his B. Tech in 2007, M. Tech in 2012 & he pursuing his Ph.D.
from Mewar University in Rajasthan, India. Dr. Dutta's research interests include Sensor &
transducer, nonlinear process control systems, Mechatronics systems & control, optimization
algorithms, intelligent systems, Internet of Things (IoT), machine learning and deep learning, etc.
He has 14 International & national patents & has published more than 102 research articles in his
credit, published in international & national journals & conference proceedings. He has 12 edited &
authored books & 21 book chapters under reputed book publishers Elsevier & Springer.

Deep Learning, Machine Learning (Other), Engineering, Optimization in Manufacturing, Bioinformatic Methods Development, Biological Network Analysis
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Dr. Eslam ALJAAFİL Lebanese International University

Lecturer and English Language Instructor with 10+ years of experience in ESL teaching, curriculum development, and academic advising. Demonstrates proven success in enhancing language proficiency for diverse student populations, mentoring graduate students, and achieving high satisfaction rates through personalized instruction, engaging lesson plans, and performance-driven educational strategies.

Curriculum Development in Education, Adult Education, Primary Education
Rohail Hassan
Dr. Rohail HASSAN Universiti Utara Malaysia Web
Corporate Governance, Business Analytics
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Dr. Shubham MAHAJAN Noroff University College
Signal Processing, Deep Learning, Image Processing
Umut Can Çabuk
Dr. Umut Can ÇABUK San Diego State University Web

UMUT CAN CABUK received his B.Sc. degree in electronics engineer-
ing from Bursa Uludag University (Turkey) in 2012, his M.Sc. degree in
information technology engineering from Aarhus University (Denmark) in
2015, and his Ph.D. degree at the International Computer Institute of Ege
University (Turkey), where he also worked as a research assistant. He is
currently continuing his post-doc studies at San Diego State University
(USA). His research interests include drones, mobile and wireless networks,
the Internet of Things, computer security, and graph theory. He has co-
authored over 40 scholarly publications and has 4 patent applications.

Cyberphysical Systems and Internet of Things, Information Security and Cryptology, Cryptography, Wireless Communication Systems and Technologies (Incl. Microwave and Millimetrewave)

Dr. Vivek Upadhyaya graduated his “Bachelor of Engineering” in Electronics and Communication Engineering from Rajasthan University, Rajasthan, India in 2009. He has done M.Tech in Electronics and Communication from Malaviya National Institute of Technology, Jaipur, in the year 2016 and Ph.D. from Malaviya National Institute of technology in 2022.
He has been the recipient of Visvesvaraya scholarship given by Ministry of Electronics & I.T. (Govt. of India) during course of his Ph.D. He has more than 12 years of Industry and teaching experience.
He is currently working as an Assistant Professor in Electrical and Electronics Engineering Department, Poornima University, Jaipur, Rajasthan, India. His research work is focused on Medical Image, Digital Signal Processing, Compression Techniques, Artificial Intelligence and Machine Learning. He has been carrying out his research on Compressive Sensing for Medical Imaging with application of machine learning algorithms. He has published his research work in Journals, Book Chapters and attended various conferences. Recently He got Best Paper Award in an International Conference for his research work. He is also a reviewer of many reputed international journals (Elsevier, Springer, Wiley etc.)

Signal Processing, Machine Learning Algorithms, Active Sensing
Journal of Emerging Computer Technologies
is indexed and abstracted by
Harvard Hollis, Scilit, ROAD, Google Scholar, OpenAIRE

Publisher
Izmir Academy Association

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