Bowen Tang | Marine | Research Excellence Award

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Mr. Bowen Tang | Marine | Research Excellence Award

Mr. Bowen Tang | Marine | Student at Anhui Xinhua University | China

Marine research defines the academic and professional profile of Mr. Bowen Tang, an emerging scholar in robotic engineering with a strong focus on intelligent marine systems and autonomous surface vehicles. Mr. Bowen Tang is currently affiliated with Anhui Xinhua University as an undergraduate researcher, where his education emphasizes robotic control, autonomous navigation, and marine robotics through specialized coursework and laboratory training. In his professional and research experience, Mr. Bowen Tang actively contributed to a marine robotics laboratory, leading to high-impact outcomes including a Q2 SCI journal publication titled Adaptive Dynamic Prediction-Based Cooperative Interception Control Algorithm for Multi-Type Unmanned Surface Vessels in the Journal of Marine Science and Engineering. His research interests center on multi-USV cooperative control, intelligent marine vehicles, adaptive prediction algorithms, and smart aquaculture automation. Mr. Bowen Tang has developed strong research skills in control algorithm design, cooperative interception strategies, autonomous system modeling, simulation, and experimental validation, complemented by applied engineering consultancy in adaptive control for unmanned marine vessels. His innovative capacity is further demonstrated through a registered patent for an intelligent unmanned feeding vessel for aquaculture, highlighting translational impact. While still early in his career, Mr. Bowen Tang has earned academic recognition through peer-reviewed publication and patent achievement. In conclusion, Mr. Bowen Tang represents a promising marine robotics researcher whose interdisciplinary expertise positions him to contribute meaningfully to intelligent ocean engineering and future autonomous marine technologies.

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Featured Journal Article


Adaptive Dynamic Prediction-Based Cooperative Interception Control Algorithm for Multi-Type Unmanned Surface VesselsJournal of Marine Science and Engineering · January 2026
Contributors: Yuan Liu; Bowen Tang; Lingyun Lu; Zhiqing Bai; Guoxing Li; Shikun Geng; Xirui Xu

Wurz Annemarie | Agricultural | Research Excellence Award

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Mrs. Wurz Annemarie | Agricultural | Research Excellence Award

Mrs. Wurz Annemarie | Agricultural | Postdoctor at Marburg University | Germany

Agricultural research expertise defines the academic profile of Mrs. Wurz Annemarie, a highly cited researcher at the University of Marburg with an h-index of 16 and more than 1,300 citations since 2021, reflecting her strong impact in global ecology and land-use science. Mrs. Wurz Annemarie received her advanced education in ecology and environmental sciences, building a solid academic foundation that supports her interdisciplinary work linking biodiversity conservation, ecosystem services, and sustainable agricultural landscapes.

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Featured Publications:

Land-sharing and land-sparing connectivity landscapes for ecosystem services and biodiversity conservation
– People and Nature, 2019 · 368 Citations
Land-use history determines ecosystem services and conservation value in tropical agroforestry
– Conservation Letters, 2020 · 150 Citations
Listening to a changing landscape: Acoustic indices reflect bird species richness across land-use types
– Ecological Indicators, 2021 · 116 Citations
Hand pollination of global crops: A systematic review
– Basic and Applied Ecology, 2021 · 111 Citations
Win-win opportunities combining high yields with high multi-taxa biodiversity in tropical agroforestry
– Nature Communications, 2022 · 83 Citations

Lijuan Du | Food Science | Excellence in Research Award

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Mrs. Lijuan Du | Food Science | Excellence in Research Award

Mrs. Lijuan Du | Food Science | Excellence in Research Award

Food Science forms the foundation of the academic and professional profile of Mrs. Lijuan Du, a dedicated researcher affiliated with the Yunnan Agricultural Academy, Kunming, China, whose scholarly work reflects a strong commitment to advancing food-related research and innovation. Mrs. Lijuan Du has built a solid educational background in food science and related agricultural disciplines, which has equipped her with comprehensive theoretical knowledge and applied expertise essential for modern food research.

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Featured Publications:

Determining the Active Ingredients of Dendrobium officinale and Tracing Its Region of Origin

– Food Analytical Methods, 2025 ·
Quality Analysis and Characteristic Difference Identification of Organic Tea and Conventional Planting Tea Based on ICP, HPLC, and Machine Algorithm

– Food Chemistry X, 2025 · 2 Citations

 

Jiayin Tang | Reliability | Research Excellence Award

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Dr. Jiayin Tang | Reliability | Research Excellence Award

Dr. Jiayin Tang | Reliability | Professor at Southwest Jiaotong University | China

Reliability Dr. Jiayin Tang is a distinguished academic and researcher whose work integrates manufacturing mechanics, transportation systems, automation, and industrial electrical and electronic engineering with a strong focus on system reliability and performance optimization. Dr. Jiayin Tang has built a solid educational foundation in engineering disciplines that support advanced analysis of dependable and resilient systems, enabling a career dedicated to improving the safety, efficiency, and robustness of complex industrial and transportation infrastructures. Professionally, Dr. Jiayin Tang serves as a professor and active researcher, contributing to teaching, supervision, and scholarly activities while engaging in interdisciplinary projects that bridge automation, control systems, and manufacturing applications. Dr. Jiayin Tang’s research interests center on reliability engineering, fault-tolerant design, automation and control, intelligent manufacturing, and transportation system stability, with an emphasis on practical solutions for real-world engineering challenges. Dr. Jiayin Tang possesses strong research skills in system modeling, reliability analysis, data-driven evaluation, control system design, industrial electronics, and applied engineering optimization, supported by consistent scholarly dissemination and academic collaboration. Dr. Jiayin Tang has received professional recognition through academic appointments, research contributions, and participation in scientific profiling platforms, reflecting growing impact and visibility within the engineering research community. In conclusion, Dr. Jiayin Tang represents a committed and forward-looking scholar whose reliability-focused research and engineering expertise continue to advance resilient, intelligent, and sustainable industrial and transportation systems.

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Featured Journal Articles

Reliability Assessment Model for Multiple Stress Factors Accelerated Degradation Test Using a Wiener Process with Random Effects
PLOS ONE · 10 June 2025
A Complex Attention Transformer for Bearing Fault Diagnosis Based on Motor Current Signals
IEEE Transactions on Instrumentation and Measurement · 19 May 2025
A Multiscale Pooling Attention-Based Graph Attention Network for Remaining Useful Life Prediction
IEEE Transactions on Instrumentation and Measurement · 01 January 2025
Reliability Assessment for Dual Constant-Stress Accelerated Life Test Based on Weibull Distribution with Type-II Censoring
Quality and Reliability Engineering International · 02 December 2024
Reliability Inference for Dual Constant-Stress Accelerated Life Test with Exponential Distribution and Progressively Type-II Censoring
Journal of Statistical Computation and Simulation · 24 September 2024
Reliability Assessment Models for Competing Failure Processes with Two Types of Correlative Thresholds
Quality and Reliability Engineering International · 18 March 2024

Chunwei Dong | Battery Materials | Research Excellence Award

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Dr. Chunwei Dong | Battery Materials | Research Excellence Award

Dr. Chunwei Dong | Battery Materials | Engineer at National Institute of Clean-and-Low-Carbon Energy | China

Battery Materials Dr. Chunwei Dong is an accomplished engineer and researcher specializing in advanced energy storage technologies, currently serving in the Battery Materials Department at the National Institute of Clean-and-Low-Carbon Energy in Beijing, China. Dr. Chunwei Dong holds a Doctorate in Materials Science and Engineering, earned from Jilin University, where he developed a strong academic foundation in electrochemical materials and functional energy systems. Professionally, Dr. Chunwei Dong has been actively engaged in national-level research and engineering initiatives focused on next-generation batteries, contributing to innovation-driven clean energy solutions since joining the National Institute of Clean-and-Low-Carbon Energy. Dr. Chunwei Dong’s research interests encompass lithium–sulfur batteries, sodium–sulfur batteries, lithium-ion and sodium-ion batteries, lithium and sodium metal batteries, and cutting-edge solid-state battery technologies, reflecting a comprehensive approach to sustainable energy storage. Dr. Chunwei Dong possesses strong research skills in battery material design, electrochemical performance evaluation, material characterization, and applied engineering optimization for scalable energy systems. Through consistent scientific contributions, Dr. Chunwei Dong has earned professional recognition within the clean energy research community for advancing low-carbon battery technologies. In conclusion, Dr. Chunwei Dong represents a new generation of battery materials experts whose integrated academic training, professional engineering experience, and forward-looking research vision continue to support the global transition toward efficient, safe, and sustainable energy storage solutions.

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Featured Publications

A High-Areal-Capacity and Long-Cycle-Life Zinc-Ion Battery with Robust V2O3@Graphene Microlattice Cathode and Interface-Protected Zn Anode
Advanced Functional Materials, 2025 · DOI: 10.1002/adfm.202529348
The Potential of Solid-State Potassium-Ion Batteries with Polymer-Based Electrolytes
Carbon Energy, 2025, 7, e670
Synergistic Effect of Carbon Nanotube and Encapsulated Carbon Layer Enabling High-Performance SnS2-Based Anode for Lithium Storage
Journal of Energy Chemistry, 2024, 97, 700–709
Carbon-Encapsulated Bimetallic Fe–W-Based Selenides with Abundant Heterogeneous Conductive Network for Superior Potassium-Ion Storage
ACS Applied Materials & Interfaces, 2024, 16, 63612–63620
Inhibited Shuttle Effect by Functional Separator for Room-Temperature Sodium–Sulfur Batteries
Journal of Materials Science & Technology, 2022, 113, 207–216
Enabling High-Performance Room-Temperature Sodium–Sulfur Batteries with Few-Layer 2H-MoSe2-Embellished Nitrogen-Doped Hollow Carbon Spheres as Polysulfide Barriers
Journal of Materials Chemistry A, 2021, 9, 3451–3463

Oluwaseun Duntoye | Tidal Energy | Research Excellence Award

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Mr. Oluwaseun Duntoye | Tidal Energy | Research Excellence Award

Mr. Oluwaseun Duntoye | Tidal Energy | Research Assistant at Seoul National University of Science and Technology | South Korea

Tidal Energy researcher Mr. Oluwaseun Duntoye is a highly motivated power systems and AI-based control engineer with a strong interdisciplinary background spanning renewable energy systems, intelligent control, and advanced electrical engineering. Mr. Oluwaseun Duntoye holds an MSc in Electrical and Information Engineering with distinction from Seoul National University of Science and Technology, where he developed optimization and machine-learning expertise through advanced coursework and a thesis on energy-efficient beamforming algorithms, and a BTech in Physics (Electronics) from the Federal University of Technology, Minna, with strong foundations in applied physics and signal propagation. Professionally, Mr. Oluwaseun Duntoye has served as a Research Assistant at the Advanced Power Networks Lab and the Intelligent Communications Lab at SEOULTECH, contributing to high-impact research on wind power forecasting, PV–BESS control strategies, smart grids, HVDC systems, and AI-driven optimization, alongside earlier undergraduate research experience in experimental signal analysis. His research interests center on Tidal Energy integration, power systems, renewable energy conversion, energy storage, power electronics, and AI-enabled control of next-generation grids. Mr. Oluwaseun Duntoye’s research skills include system modeling, deep learning, optimization algorithms, MATLAB and Python programming, data-driven forecasting, and intelligent energy control. His academic recognition includes distinction-level graduation and competitive research paper nominations. In conclusion, Mr. Oluwaseun Duntoye represents a forward-looking Tidal Energy and renewable systems researcher poised to advance resilient, sustainable, and intelligent energy networks through doctoral-level innovation.

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Featured Publications

Wind Power Forecast Using Multilevel Adaptive Graph Convolution Neural Network
Duntoye, O.E.; Alowonou, K.C.; Kwon, D.-H. – Energies, 2026, 19, 186 (MDPI)
Real-Time Optimal Control of Two-Terminal VSC-HVDC System to Improve Grid Frequency and AC-Voltage Stability
Nyahega, G.J.; Duntoye, O.E.; Kwon, D. – IEEE Transactions on Power Systems (Under Review)
Deloading Control Strategy with Battery Energy Storage System Integration for Photovoltaic Systems
Duntoye, O.E.; Nyahega, G.J.; Kwon, D. – Proc. 11th APAP International Conference, Jeju, South Korea, 2025
An Efficient Beamforming Algorithm for Simultaneously Transmitting and Reflecting Intelligent Surfaces
Duntoye, O.E.; Lee, K. – MSc Thesis, SEOULTECH dCollections, 2024
Investigative Study on Ultrasound Velocity with Weather Parameters
Duntoye, O.E.; Ibrahim, A.G. – Proc. Nigerian Institute of Physics Annual Conference, Niger State, Nigeria, 2017

Amos Langat | Statistics | Research Excellence Award

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Assist. Prof. Dr. Amos Langat | Statistics | Research Excellence Award

Assist. Prof. Dr. Amos Langat | Statistics | Professor at Jomo Kenyatta University Of Agriculture And Technology | Kenya

Statistics Assist. Prof. Dr. Amos Langat is a highly accomplished mathematician, statistician, and academic researcher with strong regional and international engagement in applied and theoretical statistical sciences. Assist. Prof. Dr. Amos Langat holds a Doctor of Philosophy in Mathematics (Statistics), a Master of Science in Applied Statistics, and a Bachelor of Science in Economics and Mathematics, forming a solid interdisciplinary academic foundation. Professionally, Assist. Prof. Dr. Amos Langat has extensive teaching and research experience as a Senior Lecturer, Lecturer, Postdoctoral Research Fellow, Adjunct Research Scientist, and Research Fellow across leading institutions in Africa and Europe, contributing to capacity development, artificial intelligence applications, migration studies, public health analytics, and multidisciplinary research initiatives. His research interests center on statistics, applied statistical modeling, data analytics, econometrics, public health statistics, and AI-driven statistical methods. Assist. Prof. Dr. Amos Langat’s research skills include statistical inference, regression analysis, multivariate analysis, data modeling, academic publishing, and interdisciplinary research collaboration. He has been recognized through prestigious scholarships, including a Pan African University PhD Scholarship and a postgraduate scholarship for applied statistics, reflecting academic excellence and competitive merit. In conclusion, Assist. Prof. Dr. Amos Langat stands out as a forward-looking Statistics scholar whose strong research portfolio, teaching excellence, and international collaborations position him as a significant contributor to modern statistical science and evidence-based decision-making across academia and society.

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Featured Publications

Cancer Cases in Kenya: Forecasting Incidents Using Box & Jenkins ARIMA Model
A. Langat, G. Orwa, J. Koima – Biomedical Statistics and Informatics, 2017
Citations: 23
Stock Price Prediction Using Combined GARCH–AI Models
J. K. Mutinda, A. K. Langat – Scientific African, 2024
Citations: 21
High Plasma Soluble CD163 During Infancy as a Marker for Neurocognitive Outcomes in Early-Treated HIV-Infected Children
S. F. Benki-Nugent et al. – JAIDS: Journal of Acquired Immune Deficiency Syndromes, 2019
Citations: 16
Capital Asset Pricing Model: A Renewed Application on the S&P 500 Index
J. K. Mutinda, A. K. Langat – Asian Journal of Economics, Business and Accounting, 2024
Citations: 11
Forecasting Temperature Time Series Data Using Combined Statistical and Deep Learning Methods: A Case Study of Nairobi County Daily Temperature
J. K. Mutinda, A. K. Langat, S. M. Mwalili – International Journal of Mathematics and Mathematical Sciences, 2025
Citations: 10
Exploring the Role of Dimensionality Reduction in Enhancing Machine Learning Algorithm Performance
J. K. Mutinda, A. K. Langat – Asian Journal of Research in Computer Science, 2024
Citations: 10

Anwar Ul haq | Optoelectronics | Research Excellence Award

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Mr. Anwar Ul haq | Optoelectronics | Research Excellence Award

Mr. Anwar Ul haq | Optoelectronics | PhD student at Shenzhen University Shenzhen | China

Optoelectronics Mr. Anwar Ul haq is an emerging interdisciplinary researcher and technologist whose academic and professional journey bridges physics, chemistry, and advanced photonic sciences. Mr. Anwar Ul haq is currently pursuing doctoral research in biophotonics at Shenzhen University, building on a strong educational foundation that includes advanced degrees in chemistry and a bachelor’s degree in science, which collectively support his transition into Optoelectronics-driven research. Mr. Anwar Ul haq has gained substantial professional experience as a General Manager, where he led cross-functional engineering and procurement teams, optimized industrial production processes, enforced ISO 9001 quality systems, and strengthened data-driven decision-making through structured project monitoring. Earlier, as a Laboratory Quality Analyst, Mr. Anwar Ul haq developed hands-on expertise in analytical instrumentation, materials characterization, quality assurance, and standards compliance. His research interests focus on Optoelectronics, biophotonics, photonic materials, light–matter interaction, and optical techniques for scientific and industrial applications. His research skills include optical analysis, spectroscopy, materials testing, data interpretation, laboratory instrumentation, and process optimization. Mr. Anwar Ul haq’s honors reflect professional trust in leadership roles and technical responsibility across laboratory and managerial domains. In conclusion, Mr. Anwar Ul haq represents a forward-looking Optoelectronics researcher whose blend of scientific rigor, applied industry experience, and doctoral-level research positions him to contribute meaningfully to next-generation photonic and optoelectronic innovations.

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Featured Publications

Surface-Enhanced Raman Spectroscopy for Monitoring Antibacterial Activity of Imidazole Derivative Against Bacillus subtilis and Escherichia coli
Anwar ul Haq et al. – Photodiagnosis and Photodynamic Therapy, 2023 (Elsevier)
Quantitative Analysis of Solid Dosage Forms of Losartan Potassium by Raman Spectroscopy
Anwar ul Haq et al. – Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2022 (Elsevier)
Characterization of Tigecycline-Sensitive and Tigecycline-Resistant Escherichia coli by SERS and Chemometrics
Anwar ul Haq et al. – Analytical Letters, 2022 (Taylor & Francis)
Surface-Enhanced Raman Spectroscopy for Monitoring Colistin-Resistant and Susceptible E. coli Strains
Anwar ul Haq et al. – Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2022 (Elsevier)
Surface-Enhanced Raman Spectral Analysis for Comparison of PCR Products of Hepatitis B and Hepatitis C
Anwar ul Haq et al. – Photodiagnosis and Photodynamic Therapy, 2021 (Elsevier)
Surface-Enhanced Raman Spectroscopy for Comparison of Serum Samples of Typhoid and Tuberculosis Patients of Different Stages
Anwar ul Haq et al. – Photodiagnosis and Photodynamic Therapy, 2021 (Elsevier)

Sajjad Gheytasi | Philosophy | Research Excellence Award

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Dr. Sajjad Gheytasi | Philosophy | Research Excellence Award

Dr. Sajjad Gheytasi | Philosophy | Assistant Professor at Payame Noor University | Iran

Philosophy forms the intellectual foundation of Dr. Sajjad Gheytasi’s distinguished academic and research career as an Assistant Professor of English Language and Literature at Payame Noor University, Tehran, where Dr. Sajjad Gheytasi is widely recognized for integrating philosophical inquiry with literary criticism, cultural studies, and postcolonial thought. Dr. Sajjad Gheytasi received formal education in English Literature at the undergraduate and graduate levels, culminating in a doctoral degree from the University of Tehran, where scholarly training emphasized critical theory, philosophy of literature, and resistance discourse. Professionally, Dr. Sajjad Gheytasi serves as an Assistant Professor and Visiting Professor at leading Iranian universities, contributing extensively to teaching, curriculum development, and interdisciplinary scholarship. The research interests of Dr. Sajjad Gheytasi center on philosophy, postcolonial studies, cultural materialism, new historicism, indigenous studies, resistance literature, and hegemonic discourse analysis. Dr. Sajjad Gheytasi’s research skills include philosophical textual analysis, comparative literary criticism, discourse analysis, qualitative research methods, and academic writing informed by ethical and theoretical rigor. Through sustained scholarly output, international research profiles, and active engagement with global academic indices, Dr. Sajjad Gheytasi has earned professional recognition and academic esteem. In conclusion, Dr. Sajjad Gheytasi exemplifies a philosophy-driven scholar whose work bridges literature and critical theory to challenge dominant narratives and advance humanistic understanding across cultures.

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Featured Publications

ECHOES OF EXILE
S. Gheytasi – Arab Studies Quarterly, 2024 · Cited by 4
Discourse Construction and Counter-Hegemonic Discourses in The Beloved by Toni Morrison
M. S. Beyad, S. Gheytasi – Research in Contemporary World Literature, 2019 · Cited by 4
Louise Erdrich’s Tracks: Survival or Subversion
S. Gheytasi – ESC: English Studies in Canada, 2017 · Cited by 4
Female Resistances against the Dominant Discourse of Patriarchy in Shakespeare’s Winter’s Tale with Special References to Greenblatt’s and Sinfield’s Theories
M. Biad, S. Gheytasi – Research in Contemporary World Literature, 2015 · Cited by 2
Unveiling the Subversive Potential: Challenging Dominant Ideological Discourses in Selected Literary Texts
S. Gheytasi – World Literature Studies, 2024 · Cited by 1
Veus en conflicte: explorant la memòria i la multiplicitat a The Sympathizer
S. Gheytasi – Anuari de Filologia. Literatures Contemporànies, 2023 · Cited by 1
Black Identity and Struggles for Survival
S. Gheytasi – Journal of English Literature and Cultural Studies, 2018 · Cited by 1

Mohd Khaled Shambour | Intelligent System | Best Researcher Award

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Prof. Dr. Mohd Khaled Shambour | Intelligent System | Best Researcher Award

Prof. Dr. Mohd Khaled Shambour | Intelligent System | Professor at Middle East University | Jordan

Intelligent System research defines the academic and professional profile of Prof. Dr. Mohd Khaled Shambour, a distinguished scholar and professor specializing in intelligent system techniques with extensive international teaching and research experience. Prof. Dr. Mohd Khaled Shambour earned his Ph.D. in Intelligent System Techniques from Universiti Sains Malaysia, Malaysia, following a Master’s degree in Computer Science from Philadelphia University, Jordan, and a Bachelor’s degree in Computer Science from Yarmouk University, Jordan, forming a strong educational foundation in advanced computing and artificial intelligence. Professionally, Prof. Dr. Mohd Khaled Shambour has served as Professor, Associate Professor, Assistant Professor, and Lecturer at leading institutions including Middle East University (Jordan), Umm Al-Qura University (Saudi Arabia), Al-Ahliyya Amman University, and the University of Hail, contributing significantly to intelligent systems engineering, research leadership, and academic development. His research interests focus on optimization techniques, meta-heuristic algorithms, data science, scheduling, and timetabling, driven by their real-world problem-solving potential. Prof. Dr. Mohd Khaled Shambour possesses advanced research skills in differential evolution, genetic algorithms, harmony search, black widow optimization, flower pollination algorithms, data mining, and intelligent decision-support systems. His awards and honors are reflected through prestigious academic appointments, leadership roles, and impactful community-oriented research projects, including intelligent systems for pilgrimage management and resource forecasting. In conclusion, Prof. Dr. Mohd Khaled Shambour stands as a visionary leader whose intelligent system expertise continues to advance research innovation, societal impact, and academic excellence globally.

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Featured Publications

Machine Learning in Medical Applications: A Review of State-of-the-Art Methods
M. Shehab et al. – Computers in Biology and Medicine, 2022 · Cited by 599
Harris Hawks Optimization Algorithm: Variants and Applications
M. Shehab et al. – Archives of Computational Methods in Engineering, 2022 · Cited by 134
Gradient-Based Optimizer (GBO): A Review, Theory, Variants, and Applications
M. S. Daoud et al. – Archives of Computational Methods in Engineering, 2023 · Cited by 133
An Analytical Study of Mobile Applications for Hajj and Umrah Services
E. A. Khan, M. K. Y. Shambour – Applied Computing and Informatics, 2018 · Cited by 113
A Comprehensive Review of Bat-Inspired Algorithm: Variants, Applications, and Hybridization
M. Shehab et al. – Archives of Computational Methods in Engineering, 2022 · Cited by 110
Progress of IoT Research Technologies and Applications Serving Hajj and Umrah
M. K. Shambour, A. Gutub – Arabian Journal for Science and Engineering, 2022 · Cited by 96
Analysing Lecturers’ Perceptions on Traditional vs. Distance Learning During the COVID-19 Pandemic
M. K. Y. Shambour, M. A. Abu-Hashem – Education and Information Technologies, 2022 · Cited by 59
Personal Privacy Evaluation of Smart Devices Applications Serving Hajj and Umrah Rituals
M. K. Shambour, A. Gutub – Journal of Engineering Research, 2023 · Cited by 51