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Easy Submission ProcessEditorial Board
Dr. Obada Al Khatib
Assistant Professor
Department Of Electrical, Computer,
and Telecommunications Engineering
University of Wollongong
UAE
Dr. Obada Al Khatib
Dr. Obada Al Khatib is an accomplished academic and researcher in Electrical and Information Engineering, currently serving as an Assistant Professor at the School of Engineering, University of Wollongong in Dubai (UOWD), UAE. He earned his Ph.D. from the University of Sydney, Australia, where he received multiple prestigious awards, including the University of Sydney International Scholarship and Postgraduate Awards.
He also holds a Master of Education in Higher Education from the University of Wollongong and a Master of Engineering in Communication and Computer Engineering from the National University of Malaysia, graduating with distinction. With earlier industry experience as an Electrical Engineer in Qatar, he integrates practical expertise with academic excellence.
Dr. Al Khatib has played a key leadership role as Discipline Leader for Electrical, Computer, and Telecommunications Engineering. His work spans advanced technologies and engineering education, supported by numerous professional certifications in artificial intelligence, cloud computing, and cybersecurity.
+971 4 278 1979
obada@uow.edu.au
Research Interests:
- Electrical and Information Engineering
- Communication and Computer Engineering
- Artificial Intelligence and Machine Learning
- Cloud Computing and Internet of Things (IoT)
- Cybersecurity
- Engineering Education and Higher Education
- Smart Systems and Emerging Technologies
Dr. Cornelia Aurora Győrödi
Professor
Department Of Computers
and Information Technology
University of Oradea
Romania
Dr. Cornelia Aurora Győrödi
Dr. Eng. Habil. Cornelia Aurora Győrödi is a distinguished academic and researcher in Computer Science and Information Technology, currently serving as a Professor at the Faculty of Electrical Engineering and Information Technology, University of Oradea, Romania. She obtained her Ph.D. in Computer Science from the Politehnica University of Timișoara and has built an extensive academic career spanning over three decades.
Prof. Győrödi has held multiple academic positions, progressing from Junior Assistant to full Professor, contributing significantly to teaching, research, and academic leadership. She has been actively involved in numerous national and international research projects, including roles as project director and key member in European-funded initiatives. Her scholarly contributions include over 75 scientific publications, books, and international conference papers, with strong citation metrics across Web of Science, Scopus, and Google Scholar.
Her expertise extends to advanced database systems, artificial intelligence, and big data technologies, with a strong focus on innovation, digital transformation, and data-driven decision-making. She is also an active reviewer, editorial board member, and evaluator for international journals and European research programs.
+40 259 408 769
cgyorodi@uoradea.ro
Research Interests:
- Database Systems and Big Data Management
- SQL and NoSQL Optimization
- Cloud Databases and Distributed Systems
- Web Mining and Knowledge Discovery
- Artificial Intelligence and Expert Systems
- Data Mining and Machine Learning
- Database Security and Cybersecurity
- Cloud Computing Technologies
- Blockchain Applications in Data Security
- Decision Support Systems
Dr. Mohammed Yaseen
Lecturer
Department Of Computer Science
Software Engineering
University of Ninevah
Iraq
Dr. Mohammed Yaseen
Mr. Mohammed Yaseen is a dedicated academic and software engineer specializing in computer science, data security, and software development. He is currently serving as a Lecturer at the College of Information Technology, University of Ninevah, Iraq. He obtained his Master’s degree in Computer Engineering from Karabuk University, Turkey, where his research focused on developing advanced security methods for protecting big data through encryption algorithms.
Mr. Yaseen has accumulated substantial academic and practical experience through his teaching roles at Al-Kitab University, Al-Noor University, and the University of Ninevah. He has delivered a wide range of courses including Big Data Analytics, Real-Time Systems Design, Software Development, and Programming Languages. In addition to his academic career, he has hands-on experience in developing software applications for sectors such as healthcare, office management, and hospitality using technologies like C, C++, C#, and Python.
He has published multiple research papers indexed in Scopus and Google Scholar, with a growing research impact. His work integrates software engineering, cybersecurity, and big data technologies, contributing to innovative and practical solutions in modern computing environments.
+07769426904
mohammed.y.abdullah@uoninevah.edu.iq malhayani94@gmail.com
Research Interests:
- Big Data Security and Encryption Techniques
- Cybersecurity and Data Protection
- Software Engineering and System Development
- Artificial Intelligence and Deep Learning
- Real-Time Systems Design
- Database Systems and Microsoft SQL Server
- Web and Desktop Application Development
- Cloud Computing and Distributed Systems
- Video Streaming Technologies
- Open Source Software Development
Dr. Shahab Wahhab Kareem
Assistant Professor
Department Of AI, Robotics and
Computer Engineering
University of Erbil Polytechnic
Iraq
Dr. Shahab Wahhab Kareem
Dr. Shahab Wahhab Kareem is a distinguished academic and researcher in Computer Engineering, specializing in artificial intelligence, machine learning, and advanced optimization algorithms. He earned his Ph.D. in Computer Engineering from Yasar University, Turkey, where his research focused on developing novel swarm intelligence algorithms for Bayesian network structure learning.
Dr. Kareem has extensive academic and professional experience, currently serving as a Lecturer at Erbil Polytechnic University in the College of Computer and Informatics, Department of AI and Robotics Engineering. He is also actively involved in postgraduate teaching at Kurdistan University (UKH), delivering PhD and Master’s level courses in machine learning, cloud-native systems, and distributed software engineering.
With a strong background in both academia and industry, he has contributed to numerous engineering projects, including power systems and SCADA-based infrastructures. He has supervised multiple MSc and PhD researchers and published extensively in high-impact international journals. His research integrates artificial intelligence, cybersecurity, and big data technologies to address real-world challenges in modern computing systems.
+964 750 441 3108
shahabwkareem@gmail.com
shahab.kareem@epu.edu.iq
Research Interests:
- Artificial Intelligence and Machine Learning
- Swarm Intelligence and Optimization Algorithms
- Bayesian Networks and Probabilistic Modeling
- Deep Learning and Neural Networks
- Big Data Analytics and Data Science
- Cybersecurity and Information Security
- Cloud Computing and Distributed Systems
- Internet of Things (IoT) Security
- Computer Vision and Image Processing
- Control Systems and Intelligent Automation
Dr. Su Haifeng
Professor
Department Of Electromechanical
Engineering and Mechanical Automation
University of Shanghai
China
Dr. Su Haifeng
Dr. Su Haifeng is a distinguished researcher and academic in the fields of brain science, artificial intelligence, and brain-inspired computing. He currently serves as a Professor and Doctoral Supervisor at Shanghai University, China. He is the Director of the Brain Intelligence Science Laboratory and holds dual appointments as a Researcher at the Institute of Bionic Vision and Brain-like Intelligence and as a Professor at Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine.
Dr. Su obtained his Ph.D. from the Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences. He has led several major national research initiatives, including a National CMC Key Interdisciplinary Project and a flagship project under China’s “Science and Technology Innovation 2030 – Brain Science and Brain-inspired Research” program. His work is supported by multiple prestigious funding bodies, including the National Natural Science Foundation of China and the Chinese Academy of Sciences.
He has published extensively in leading international journals such as NPJ Parkinson’s Disease, eLife, and FEBS Letters, as well as prominent computer vision conferences. Prof. Su serves on the editorial board of the Journal of Integrative Neuroscience and has received multiple awards for scientific excellence, innovation, and academic mentorship.
+00000
hfsu@shu.edu.cn
Research Interests:
- Brain Science and Neuroscience
- Brain-Inspired Artificial Intelligence
- Computational Neuroscience
- Bionic Vision and Brain-like Intelligence Systems
- Machine Learning and Deep Learning
- Neurodegenerative Disease Modeling (e.g., Parkinson’s Disease)
- Computer Vision and Pattern Recognition
- Intelligent Systems and Robotics
- Biomedical Signal Processing
- Interdisciplinary Brain-Technology Integration
Dr. Mehmet Albaşkara
Assistant Professor
Department Of Mechanical Engineering
University of Afyon Kocatepe
Türkiye
Dr. Mehmet Albaşkara
Dr. Mehmet Albaşkara is an academician in the Department of Mechanical Engineering at Afyon Kocatepe University, Türkiye. He completed his Ph.D. in Mechanical Engineering from Erciyes University in 2022, following his Master’s degree from Harran University and Bachelor’s degree from Doğuş University.
Dr. Albaşkara’s research focuses on advanced manufacturing technologies, additive manufacturing, and intelligent machining systems. His work extensively integrates optimization techniques such as Taguchi methods, response surface methodology (RSM), and artificial neural networks (ANN) to enhance manufacturing performance and material properties.
He has authored numerous peer-reviewed publications in high-impact journals covering 3D printing technologies, electrochemical machining (ECM), wire electrical discharge machining (WEDM), and materials engineering. In addition to his research contributions, he serves as Editor-in-Chief of the Journal of Manufacturing and Intelligent Systems and actively participates in international conferences in manufacturing and materials science.
+90 5342965023
mehmetalbaskara@gmail.com albaskara@aku.edu.tr
Research Interests:
- Additive manufacturing (FDM, SLA, mSLA technologies)
- Advanced manufacturing processes
- Surface roughness and material characterization
- Electrochemical machining (ECM) and WEDM
- Optimization techniques (Taguchi, RSM)
- Artificial neural networks (ANN) and machine learning in manufacturing
- Composite materials and nanomaterials
- Surface integrity and topography analysis
Dr. Oday Ali Hassen
Associate Professor
Department Of Information Technology
Computer Science
University of Wasit
Iraq
Dr. Oday Ali Hassen
Dr. Oday Ali Hassen is an academic in Information Technology and Computer Science affiliated with Wasit University and the Ministry of Education, Iraq. He obtained his Ph.D. in Computer Science/Information Technology from Universiti Teknikal Malaysia Melaka in 2023, with research focused on smile classification models using cascade classifiers in unconstrained environments. He completed his Master’s degree in Information Technology from the University of Alexandria, Egypt, and holds a Bachelor’s degree in Mathematics from Mustansiriyah University, Iraq.
Dr. Hassen has an extensive research portfolio with more than 50 published papers across high-impact journals and international conferences. His scholarly contributions span artificial intelligence, biometric systems, cybersecurity, and data-driven technologies. He has demonstrated strong engagement in academic peer review, contributing over 150 verified reviews and participating in numerous international conference committees.
In addition to research, he has supervised postgraduate students and taught a wide range of subjects including artificial intelligence, image processing, data structures, and advanced mathematics. He actively contributes to the global research community through editorial and reviewer roles in reputed indexed journals.
+964 773 839 1986
oday123456789.oa@gmail.com odayali@uowasit.edu.iq
Research Interests:
- Artificial Intelligence and Machine Learning
- Image Processing and Pattern Recognition
- Cybersecurity and Cryptography
- Data Mining and Big Data Analytics
- Biometric Systems and Human Identification
- Internet of Things (IoT)
- Expert Systems
- Networks and Distributed Systems
- e-Learning Technologies
Dr. Len Gelman
Professor
Department Of Efficiency and
Performance Engineering
University of Huddersfield
UK
Dr. Len Gelman
Len Gelman, PhD, Doctor of Science (Habilitation), is a Professor and Chair in Signal Processing and Condition Monitoring at University of Huddersfield, where he also serves as Director of the Centre for Efficiency and Performance Engineering. He previously held a Professorship at Cranfield University. With over 25 years of academic, research, and leadership experience, he has established internationally recognized research programs in vibro-acoustical monitoring and non-destructive testing technologies. He is a Fellow of multiple professional bodies, including the British Institute of Non-Destructive Testing and the International Association of Engineering, and has held prominent global leadership roles in scientific organizations.
His research interests span signal processing, condition monitoring technologies, structural health monitoring, non-destructive testing (NDT), machine learning, artificial intelligence, sensing technologies, and Industry 4.0 systems. Prof. Gelman has made significant contributions to both academia and industry through pioneering work in predictive maintenance, diagnostics of complex mechanical systems, and biomedical engineering applications. He has successfully secured over £12 million in research funding and collaborated with leading global industries such as Rolls-Royce, Shell, and Caterpillar. His scholarly output includes numerous high-impact journal publications, books, patents, and over 40 plenary keynote lectures at major international conferences.
Prof. Gelman has supervised a large number of PhD, MSc, and BSc students and contributed extensively to curriculum development and advanced teaching programs. He serves as Editor-in-Chief and editorial board member for several international journals and has chaired major global conferences and scientific committees. His contributions have been recognized through prestigious awards, including international research scientist awards (2025), Rolls-Royce innovation awards, and multiple best paper awards.
+44 7737439125
l.gelman@hud.ac.uk
Research Interests:
- Signal Processing Technologies (classical and advanced)
- Condition Monitoring & Predictive Maintenance
- Vibro-acoustical Monitoring Technologies
- Non-Destructive Testing (NDT)
- Structural Health Monitoring (SHM)
- Machine Learning & Artificial Intelligence in Engineering
- Sensing Technologies and Smart Systems
- Digital Data Processing Technologies
- Industry 4.0 & Intelligent Systems
- Biomedical Engineering & Diagnostic Technologies
Dr. Hanshen Li
Senior Researcher
Department Of Electric Power
Planning & Engineering
University of Shanghai Jiao Tong
China
Dr. Hanshen Li
Hanshen Li is a Senior Researcher at the China Electric Power Planning & Engineering Institute, China. He obtained his Ph.D. in Electrical Engineering from North China Electric Power University, along with a Master’s degree in Computer Science and Technology from Waseda University, Japan, and a Bachelor’s degree in Electrical Engineering and Automation from Shanghai Jiao Tong University.
His research integrates advanced computational techniques with modern power systems, focusing on optimization algorithms, artificial intelligence, and machine learning applications in energy systems. He has authored over 50 peer-reviewed publications and actively contributes to the academic community as a reviewer and editorial board member.
In addition to his research role, he has served in leadership and mentorship capacities, including as Deputy Secretary of the Youth League Working Committee in Beijing and as a Youth Mentor for the Beijing Municipal Committee. His interdisciplinary expertise bridges electrical engineering, computational intelligence, and mechanical power systems.
+86 188 1821 3050
lhs@ncepu.edu.cn
Research Interests:
- Energy and Power Systems
- Mathematical Optimization Algorithms
- Artificial Intelligence
- Machine Learning
- Mechanical Power Engineering
Dr.Mayowa Emmanuel Bamisaye
Researcher
Department Of Governance Analytics
& Policy Research
University of King Prajadhipok’s
Thailand
Dr. Mayowa Emmanuel Bamisaye
Mayowa Emmanuel Bamisaye is a Researcher and Senior Computer Analyst at King Prajadhipok’s Institute, Bangkok, Thailand. He holds a Ph.D. in Engineering and Technology from Sirindhorn International Institute of Technology, Thammasat University (2024). With a strong academic foundation in industrial mathematics and applied analytics, his work bridges engineering, computational modelling, and policy-oriented research.
His research integrates mathematical modelling, system dynamics, and machine learning to analyse complex socio-technical systems. He has developed data-driven frameworks addressing environmental sustainability, circular economy systems, infrastructure resilience, and governance challenges. His publications appear in high-impact journals such as Scientific Reports, Resources, Conservation & Recycling Advances, Sustainability, and Machine Learning with Applications.
In addition to research, he has contributed to teaching in programming, database systems, and computational methods. His current work focuses on hybrid modelling approaches for decision-making in data-constrained environments, supporting evidence-based public policy and sustainable development initiatives.
+66-88-921-0791
mayowaemmanuel66@gmail.com
Research Interests:
- System Dynamics Modelling
- Machine Learning for Complex Systems
- Environmental Sustainability & Circular Economy
- Socio-Technical Systems Analysis
- Artificial Intelligence in Governance and Public Policy
Dr. Xinyu Zhang
Researcher
Department Of Computer Science &
Artificial Intelligence
Rochester Institute of Technology
United States
Dr. Xinyu Zhang
Xinyu Zhang is a Computer Science researcher and software engineer with a Ph.D. in Computer Science from Rochester Institute of Technology, USA. His academic training is complemented by strong industry experience at leading global technology companies, including ByteDance and Amazon, where he has contributed to large-scale data systems, optimization algorithms, and cloud-based infrastructures.
His research focuses on the application of machine learning, deep learning, and data-driven optimization techniques to solve complex real-world problems. His scholarly work includes advanced models such as BERT–LSTM–Attention frameworks for sentiment analysis, risk-sensitive machine learning for financial decision-making, and predictive analytics for credit scoring and loan default detection. His publications appear in reputable journals such as Entropy, Systems, and the Journal of Software Engineering and Applications.
In addition to research and development, he has extensive experience in designing scalable systems using C++, Java, Python, and cloud technologies. His work integrates artificial intelligence with business process optimization, particularly in financial systems, e-commerce platforms, and big data environments. He is also an active reviewer for several international journals and a member of professional organizations including IEEE and AAAI.
+1-585-465-4116
xz1753@rit.edu
Research Interests:
- Machine Learning & Deep Learning
- Natural Language Processing (NLP)
- Financial Data Analytics & Risk Modeling
- Big Data Analytics & Cloud Computing
- Optimization Algorithms & Decision Systems
- Artificial Intelligence in Business Processes
Dr. Li Chen
Associate Professor
Department Of State Key Laboratory of
Geohazard Prevention & Geoenvironment
Protection
Chengdu University of Technology
China
Dr. Li Chen
Li Chen is an Associate Professor at Chengdu University of Technology, China. He obtained his Ph.D. in Surveying and Mapping from Southwest Jiaotong University in 2022. Prior to his current role, he served as a Postdoctoral Fellow at The Chinese University of Hong Kong, where he conducted advanced research in geospatial intelligence and earth observation technologies.
His research focuses on geohazard assessment using cutting-edge machine learning and deep learning techniques, with particular emphasis on landslide susceptibility mapping, InSAR-based deformation monitoring, and optical remote sensing image processing. He has published extensively in high-impact journals such as Remote Sensing of Environment, Science of the Total Environment, Engineering Geology, and IEEE JSTARS, contributing significantly to advancements in environmental risk prediction and disaster mitigation.
Dr. Chen is actively involved in international research collaborations and serves as a reviewer for over 50 SCI-indexed journals. He has also been invited as an Associate Editor for IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. His current research projects are funded by major national and provincial agencies, focusing on multi-hazard prediction, geospatial data fusion, and intelligent disaster early-warning systems.
Not Available
browsercl@gmail.com
Research Interests:
- Geohazard Assessment and Landslide Susceptibility
- Machine Learning and Deep Learning
- InSAR and Remote Sensing Technologies
- Optical Image Processing
- Geospatial Data Analysis and Modeling
- Disaster Risk Prediction and Early Warning Systems
Dr. Bo Wu
Professor
Department Of Internet of Things and
Intelligent Systems Research
Institution of Shanghai Advanced Research
China
Dr. Bo Wu
Bo Wu is a Professor-level Senior Engineer at the Shanghai Advanced Research Institute, Chinese Academy of Sciences, China. He also serves as Deputy Director of the Research Center and leads the Internet of Things and Intelligent Systems Academic Team. He obtained his Ph.D. in Communication and Information Systems from the University of Chinese Academy of Sciences.
His research focuses on signal and information processing, artificial intelligence, embodied intelligence, and Internet of Things (IoT) systems. He has extensive experience as a principal investigator in numerous national and provincial research projects, contributing to advancements in intelligent systems and smart manufacturing technologies. His academic output includes over 50 peer-reviewed publications, with more than 30 indexed in SCI journals, along with over 80 patent applications.
In addition to his research contributions, he is actively involved in academic and industrial development. He serves on national and IEEE standardization committees and has played a key role in drafting technical standards. His innovations have been successfully commercialized in intelligent equipment, security systems, and multimedia processing, achieving significant industrial impact both in China and internationally.
+021-20350820
wubo@sari.ac.cn
Research Interests:
- Signal and Information Processing
- Artificial Intelligence
- Embodied Intelligence
- Internet of Things (IoT)
- Intelligent Systems
- Smart Manufacturing Technologies
Dr. Xu Xilan
Associate Professor
Department School of Economics
and Finance
University of Jiangsu
China
Dr. Xu Xilan
Dr. Xu Xilan is a Chinese academician and Associate Professor in the School of Economics and Finance at Jiangsu University. She earned her Ph.D. in Accounting from Jiangsu University in 2010 and has developed an interdisciplinary research profile integrating carbon finance, energy economics, digital governance, and artificial intelligence technologies.
Her research expertise focuses on carbon asset management, carbon emission accounting, energy-economic systems, and intelligent certification technologies for zero-carbon plants and sustainable industrial systems. She actively explores the application of AI, machine learning, blockchain, and big data analytics in carbon pricing, carbon market forecasting, and environmental governance.
Dr. Xu’s scholarly contributions also include research on information security, digital traceability systems, privacy protection of carbon data, and blockchain-enabled carbon asset governance. Her interdisciplinary work bridges finance, sustainability, computer science, and digital technologies, contributing to emerging research areas in dual-carbon policy and green economic transformation.
Not Available
xilan_xu@163.com
Research Interests:
- Carbon Asset Management
- Carbon Finance
- Energy Economics
- Artificial Intelligence Applications
- Big Data Analytics
- Information Security Technology
- Carbon Emission Accounting
- Zero-Carbon Plant Certification
- Machine Learning in Energy Forecasting
- Carbon Price Prediction
- Digital Governance
- Blockchain-based Carbon Asset Traceability
- Data Privacy & Security
- Carbon Financial Risk Management
- Sustainable Development Analytics
- Green Finance
- Energy-Economy-Environment Modeling
Dr. Siham Aouad
Professor
Department of Computer Engineering
University of ENSIAS Mohammed V
Morocco
Dr. Siham Aouad
Prof. Siham Aouad is a Moroccan computer scientist, cybersecurity researcher, and telecommunications expert currently serving as Research Professor at ENSIAS Mohammed V University. She earned her doctoral degree in Computer Engineering from the Mohammadia School of Engineers and specialized in computer networks, telecommunications, and information security.
Her academic and industrial career spans research, engineering, project management, and advanced training in networking technologies, cybersecurity systems, virtualization, cloud computing, and wireless sensor networks. She has worked extensively on SDN/NFV virtualization technologies, IoT security systems, and intelligent network optimization techniques for modern communication infrastructures.
Prof. Aouad’s research contributions focus on cybersecurity, cloud and edge computing, AI applications in communication systems, smart healthcare technologies, intrusion detection systems, and machine learning for network security. She actively contributes to international scientific conferences and indexed journals while supervising research activities in emerging digital and telecommunication technologies.
+212 652432747
siham.aouad@ensias.um5.ac.ma
Research Interests:
- Computer Networks
- Telecommunications
- Cyber Security
- Wireless Sensor Networks (WSN)
- Internet of Things (IoT)
- Cloud Computing
- Software Defined Networking (SDN)
- Network Function Virtualization (NFV)
- Information Security
- Smart Cities
- Artificial Intelligence Applications
- Intrusion Detection Systems
- Machine Learning
- Edge-Cloud Computing
- Remote Sensing Data Analytics
- Network Optimization
- Data Communication Systems
Dr. Xu Xilan
Associate Professor
Department School of Economics
and Finance
University of Jiangsu
China
