Farhad Zare | Biotechnology | Editorial Board Member

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Mr. Farhad Zare | Biotechnology | Editorial Board Member

Graduated | Shiraz University | Iran

Dr. Farhad Zare is a researcher affiliated with Shiraz University, Shiraz, Iran, specializing in advanced fluid dynamics, physiological simulations and experimental methodologies in biomedical and engineering contexts. His work focuses on enhancing the scientific understanding of liquid behavior in complex biological systems with particular emphasis on nasal spray deposition synthetic mucus properties and the interactions between saline solutions and stereolithography (SLA) resin structures used in anatomical modeling.Dr. Zare has authored 4 peer-reviewed publications which have collectively received 24 citations across 22 scholarly documents reflecting the growing impact of his contributions within the scientific community. His h-index of 3 demonstrates consistent research quality particularly in highly specialized domains where experimental rigor and interdisciplinary collaboration are essential. His recent open-access article Enhancing Physiological Realism in Nasal Spray Deposition Studies: Synthetic Mucus Properties and Interactions with Saline Solutions and Stereolithography Resin provides innovative methodological advancements that strengthen the fidelity of in vitro nasal models and support better translational outcomes in pharmaceutical delivery research.Throughout his academic career Dr. Zare has collaborated with eight international and national co-authors contributing to interdisciplinary teams that integrate engineering material science and biomedical research. His work aligns with global scientific efforts to improve drug delivery efficiency optimize medical device design and support patient-centered healthcare solutions through more accurate biophysical modeling.Dr. Zare’s research carries meaningful societal impact by advancing the accuracy of experimental platforms used in respiratory therapeutics thereby informing safer and more effective clinical practices. His commitment to methodological precision scientific transparency and collaborative knowledge-building positions him as a valuable contributor to the evolving fields of biomedical engineering and applied fluid mechanics.

Profiles : ORCID | Scopus

Featured Publications

1. Seifelnasr, A., Zare, F., Si, X., & Xi, J. (2025). Enhancing physiological realism in nasal spray deposition studies: Synthetic mucus properties and interactions with saline solutions and stereolithography resin. Liquids, 5(2), 11. Cited By : 3

2.Zare, F. (2025). Risk assessment of outdoor micron particulate matters inhaled in the respiratory system of a standing mannequin in a room ventilated by a wind catcher. International Journal of Clinical Studies and Medical Case Reports, 49, 001218.

3.Seifelnasr, A., Zare, F., Si, X., & Xi, J. (2025). Exploring e-vape aerosol penetration into paranasal sinuses: Insights from patient-specific models. Pharmaceuticals, 18(2), 142.

4.Seifelnasr, A., Zare, F., Si, X. A., & Xi, J. (2023). Optimized gravity-driven intranasal drop administration delivers significant doses to the ostiomeatal complex and maxillary sinus. Drug Delivery and Translational Research, 14, 488–? (article number 01488-4).

5.Zare, F., Aalaei, E., Zare, F., Faramarzi, M., & Kamali, R. (2022). Targeted drug delivery to the inferior meatus cavity of the nasal airway using a nasal spray device with an angled tip. Computer Methods and Programs in Biomedicine, 218, 106864.

Reza Amani | Medicine and Health Sciences | Editorial Board Member

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Prof. Reza Amani | Medicine and Health Sciences | Editorial Board Member

Professor of Clinical Nutrition | Isfahan University of Medical Sciences | Iran

Dr. Reza Amani is a prominent researcher in nutrition science and food security, currently affiliated with the Food Security Research Center at Isfahan University of Medical Sciences Iran. With an extensive academic footprint he has authored 129 scientific documents and accumulated over 3,040 citations across 2,823 citing sources reflecting his sustained contributions to global health and nutrition research. His h-index of 32 underscores the influence and continued relevance of his work in the scientific community. Dr. Amani’s scholarly identity is further established through his Scopus ID: 16314878500 and ORCID: 0000-0002-0074-4080 ensuring transparent and accessible documentation of his academic output.Dr. Amani’s research spans clinical nutrition food insecurity metabolic disorders functional foods and public health interventions. He has led and contributed to numerous high-impact clinical trials and observational studies addressing critical issues such as pregnancy-induced hypertension type 2 diabetes management cognitive function in obese children ischemic stroke recovery and the health risks of ultra-processed food consumption. His recent works also highlight innovative nutritional strategies  including the use of pomegranate peel fortification royal jelly supplementation nuts intake in pediatric obesity and the evaluation of phase angle as a nutritional marker in population health.His systematic reviews and meta-analyses have clarified the nutritional and metabolic effects of bioactive compounds such as heavy metals’ influence on gut microbiota and cocoa’s impact on serum lipids in diabetic patients—providing valuable evidence for clinicians policymakers and public health organizations. With a collaborative network of over 220 co-authors Dr. Amani actively engages in interdisciplinary partnerships that enhance the scientific rigor and societal relevance of his research.Through his commitment to advancing evidence-based nutrition and addressing food insecurity Dr. Amani’s work contributes significantly to improved health outcomes equitable food systems and the global understanding of diet-related chronic diseases. His research continues to inform policy guide clinical practice and inspire future innovations in nutrition science.

Profile : ORCID | Scopus

Featured Publications

1.Amani, R., et al. (2025). Major heavy metals and human gut microbiota composition: A systematic review with nutritional approach. Cited By : 5

2.Amani, R., et al. (2025). Phase angle as an indicator of nutritional status: A cross-sectional study on the Iranian population. Journal of Health, Population and Nutrition.

3.Amani, R., et al. (2025). Effects of pomegranate peel powder-fortified bread consumption in patients with type 2 diabetes mellitus: A randomized controlled trial. Journal of Diabetes and Metabolic Disorders.

4.Amani, R., et al. (2025). Relationship between food insecurity and the risk of pregnancy-induced hypertension: A prospective cohort study. BMC Pregnancy and Childbirth. Cited By : 1

5.Amani, R., et al. (2025). The effects of nuts intake on cognitive and executive function in obese children: A randomized clinical trial. Journal of Health, Population and Nutrition.

Tzu Wen Kuo | Engineering | Editorial Board Member

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Assist. Prof. Dr Tzu Wen Kuo | Engineering | Editorial Board Member

Architect | Private Chinese Culture University  | Taiwan

Assist. Prof. Dr Tzu Wen Kuo is a dedicated scholar and practitioner in the field of technological disaster prevention, currently serving as a Lecturer in the Department of Architecture and Urban Design at the Chinese Culture University in Taipei, Taiwan. He is also a practicing architect and an active instructor for architectural license examination preparation, demonstrating a strong commitment to bridging academic knowledge with professional practice. Kuo is presently pursuing his PhD in the Department of Architecture at the National Taiwan University of Science and Technology, where his doctoral research focuses on enhancing safety, resilience, and emergency response mechanisms in built environments.Kuo’s research centers on integrating advanced technologies into disaster prevention frameworks, particularly with respect to fire safety, emergency evacuation, and smart building systems. His scholarly contributions reflect a strong emphasis on simulation-based analysis, digital tools, and mobile-assisted evacuation strategies. He has authored multiple peer-reviewed journal articles, including recent works published in Fire and the International Journal of Environmental Research and Public Health. His studies ranging from QR code-enabled fire rescue notification systems to smartphone-based evacuation guidance and stadium evacuation efficiency—highlight his interdisciplinary approach that combines architecture, information technology, and public safety engineering.Through collaborations with academic and industry experts, Kuo contributes to practical solutions that strengthen building safety management and emergency preparedness across various public infrastructures. His work provides empirical insights that support policymakers, architects, and safety professionals in developing more efficient, technology-enhanced disaster response strategies. With growing citations and recognition in the field, Kuo’s research continues to advance the integration of smart technologies into architectural planning and urban safety systems.

Profile : ORCID 

Featured Publications

1.Yang, C.-H., Lin, C.-Y., & Kuo, T.-W. (2025). Simulation-based assessment of evacuation efficiency in sports stadiums: Insights from case studies. Fire, 8(6), 210.

2.Kuo, T.-W., & Lin, C.-Y. (2025). Smart building technologies for fire rescue: A QR code-enabled notification system. Fire, 8(3), 114..

3.Kuo, T.-W., Lin, C.-Y., Chuang, Y.-J., & Hsiao, G. L.-K. (2022). Using smartphones for indoor fire evacuation. International Journal of Environmental Research and Public Health, 19(10), 6061.

RaulJavier ChangTam | Data Science and Analytics | Best Researcher Award

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Prof. Dr. RaulJavier ChangTam | Data Science and Analytics | Best Researcher Award

Profesor Investigador | Universidad Latina de Costa Rica | Costa Rica

Prof. Dr. RaulJavier ChangTam  is a multidisciplinary researcher whose work connects technology adoption, entrepreneurship, and sustainable innovation in Latin America. His research explores how emerging technologies influence entrepreneurial ecosystems, digital transformation, and user behavior within both business and social contexts. Drawing upon models such as UTAUT2, his studies provide empirical insights into the acceptance and use of new technologies by entrepreneurs, SMEs, and professionals in fields like healthcare and finance. He also contributes to studies on sustainable finance and FinTech, emphasizing the role of digital platforms and neobanks in promoting environmentally responsible entrepreneurship. Beyond business and technology, his work extends into socio-cultural domains examining global consumption patterns such as sneaker culture and analyzing trade dynamics in ornamental species markets. Chang-Tam’s ongoing research reflects a strong orientation toward understanding the intersection of innovation, digitalization, and sustainability, with an applied perspective that links academic insight to real-world economic and cultural transformations. His research has received 3 citations across 9 documents, with an h-index of 1.

Profiles : ORCID | Scopus  | ResearchGate

Featured Publications

1. Taboada Álvarez, J. E., Chang-Tam, R. J., Rueda Varón, M. J., & Hunter Torrealba, R. (2025). Analysis of the entrepreneurial motivational demand in a learning management process in incubators.

2. Araya, J. L. G., Robles Herrera, A. E., & Chang-Tam, R. J. (2025). Analysis of trends in exports and imports of continental and marine ornamental species of aquariums in Costa Rica.

3. Chang-Tam, R. J., Caldera-Gutiérrez, V., & Rivera Shaik, V. (2025). Influence of IT technology on the development of SME entrepreneurs in Costa Rica: Applied study of the adapted model of the Unified Theory of Acceptance and Use of Technology (UTAUT2).

4. Chang-Tam, R. J., Garita Quesada, R., Masís Muñoz, R., & Chang Caldera, A. P. (2025). Influence of new IT technology trends in dental care processes between dental professionals and patients: An analysis of the UTAUT2 theory.

5. Palos-Sanchez, P. R., Chang-Tam, R. J., & Folgado-Fernández, J. A. (2025). The role of neobanks and fintech in sustainable finance and technology: The customer/user perspective for entrepreneurs. Sustainable Technology and Entrepreneurship, 100109.

Deqian Fu | Data Science and Analytics | Best Researcher Award

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Prof. Dr. Deqian Fu | Data Science and Analytics | Best Researcher Award

Professor | Linyi University | China

Prof. Dr. Deqian Fu is a prominent researcher at Linyi University, China, with a strong focus on logistics, data exchange, and trust management in supply chain and intermodal transport systems. His research explores innovative methods for secure and efficient data sharing in the logistics industry, integrating advanced technologies such as blockchain, edge computing, and ontology-based frameworks. Fu has made notable contributions in developing trusted data access control mechanisms and non-intrusive data exchange models that enhance collaboration and operational efficiency across complex logistics networks. He has authored 39 publications, which have collectively garnered 127 citations, reflecting the growing impact of his work in the fields of applied sciences and industrial informatics. His research outputs demonstrate a commitment to advancing the intersection of information technology and logistics, emphasizing both theoretical development and practical applications. With an h-index of 7, Fu’s scholarly contributions have been recognized for their relevance and innovation, particularly in promoting secure and intelligent data-sharing frameworks within the logistics sector. Selected works include “Trusted Data Access Control Based on Logistics Business Collaboration Semantics” in Applied Sciences (2024), alongside conference papers such as “Data Exchange and Sharing Framework for Intermodal Transport Based on Blockchain and Edge Computing” and “Trusted Non-intrusive Data Exchange based on Ontology in Logistics Industry,” underscoring his focus on reliable, technology-driven logistics solutions.

Profiles : ORCID | Scopus 

Featured Publications

1. Wang, W., Li, Q., Jiang, Z., Fu, D., & Camacho, D. (2025). An efficient framework for general long-horizon time series forecasting with Mamba and diffusion probabilistic models. Engineering Applications of Artificial Intelligence.

2.Liu, Z., Shi, Z., Wang, W., Kong, R., Fu, D., & Qiu, J. (2025). Research on data ownership and controllable sharing schemes in the process of logistics data flow.

3.Wang, L., Zhang, X., Xu, L., Fu, D., & Qiu, J. (2024). Data exchange and sharing framework for intermodal transport based on blockchain and edge computing. In Communications in Computer and Information Science. Springer.

4.Zhang, X., Jing, C., Chen, Y.-C., Wang, L., Xu, L., & Fu, D. (2024). Trusted data access control based on logistics business collaboration semantics.

5.Zhang, X., Wang, L., Xu, L., & Fu, D. (2023). A distributed logistics data security sharing model based on semantics and CP-ABE. In Proceedings of the ACM International Conference (pp. 1–8).

Jingsheng Feng | Decision Sciences | Best Paper Award

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Mr. Jingsheng Feng | Decision Sciences | Best Paper Award

Research Assistant | Hefei University of Technology | China

Dr. Jingsheng Feng, a distinguished researcher at Hefei University of Technology, China, focuses on advanced logistics network optimization, supply chain resilience, and intelligent decision-making systems. His research integrates mathematical modeling, fuzzy logic, and multi-objective optimization to tackle complex challenges in customized logistics and industrial engineering. Notably, his work published in Computers & Industrial Engineering presents a reliable logistics network design model incorporating demand sensitivity to correlated disruptions, enhancing system robustness under uncertainty. In the International Journal of Systems Science: Operations & Logistics (, he co-developed disruption response strategy models for supplier selection and order allocation to support firms in maintaining operational stability during disruptions. His study in Expert Systems with Applications proposed fuzzy multi-objective team decision models for customer order decoupling point (CODP) and supplier selection, facilitating collaborative and data-driven decision-making in customized logistics supply chains. Additionally, his  work in Computers & Industrial Engineering explored battery swapping service network deployment, addressing behavioral factors such as driver range anxiety and impatience. Through his interdisciplinary contributions, Dr. Feng bridges theory and practice in logistics and supply chain engineering, promoting demand responsiveness, risk mitigation, and intelligent system design to advance sustainable, adaptive, and human-centered logistics strategies for modern industrial ecosystems. Her research impact is evident from 15 citations across 4 documents with an h-index of 2.

Profiles : ORCID | Scopus 

 

Featured Publications


1 .Feng, J., Hu, X., Xu, L., Luo, S., & Chen, J. (2025). Reliable logistics network design joint optimization problem applying demand sensitivity to correlated disruptions. Computers & Industrial Engineering.

2. Xu, L., Hu, X., Wu, Z., Luo, S., Feng, J., & Zhang, X. (2025). Disruption response strategy models for supplier selection and order allocation in customised logistics service supply chain. International Journal of Systems Science: Operations & Logistics.

3. Xu, L., Hu, X., Zhang, Y., Feng, J., & Luo, S. (2024). A fuzzy multiobjective team decision model for CODP and supplier selection in customized logistics service supply chain. Expert Systems with Applications, 213, 121387.

4. Hu, X., Zhang, X., Xu, L., Feng, J., & Luo, S. (2024). The battery swapping service network deployment problem: Impact of driver range anxiety and impatience. Computers & Industrial Engineering, 172, 110189.

Manammel Thankappan Ramesan | Optoelectronics | Best Researcher Award

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Dr. Manammel Thankappan Ramesan | Optoelectronics | Best Researcher Award

Professor | University of Calicut | India

Dr. Ramesan Manammel Thankappan, affiliated with the University of Calicut, India, is a leading researcher in polymer nanocomposites and multifunctional materials, with 209 publications, 5,148 citations, and an h-index of 48. His research focuses on the design, synthesis, and functionalization of polymer-based nanocomposites, targeting enhanced structural, optical, electrical, thermal, and antibacterial properties.He has made significant contributions to optoelectronics, energy storage, environmental sensing, and photocatalysis, often integrating eco-friendly and sustainable approaches. Key areas include metal-oxide-reinforced polymers (CuO, Mn₂O₃, lithium silver oxide), biopolymer-functionalized composites (chitosan, nanocurcumin), and hybrid systems such as boehmite- or titanium dioxide-infused matrices. His studies have demonstrated improved mechanical, dielectric, optical, and gas-sensing properties, bridging fundamental materials science with practical applications. Dr. Thankappan emphasizes green processing and high-performance material design, aligning sustainability with technological innovation. Notable works include chitosan-functionalized poly(thiophene-co-pyrrole) nanocomposites, CuO-reinforced polythiophene and polyindole systems, and poly(diphenylamine) composites for energy applications.Through a prolific publication record, interdisciplinary collaborations, and high citation impact, Dr. Thankappan has established a strong reputation in the development of versatile, multifunctional polymer nanocomposites, providing solutions for advanced energy devices, biomedical applications, optoelectronic systems, and environmental technologies.

Profiles : ORCID | Scopus 

Featured Publications

1. Ramesan, M. T., & Co-authors. (n.d.). Manganese (III) oxide-infused poly(thiophene-co-pyrrole) nanocomposites for optical, dielectric, and photocatalytic applications. Cited By : 2

2.Ramesan, M. T., & Co-authors. (n.d.). Tailoring poly(diphenylamine) with lithium silver oxide nanoparticles: Impact on structural, optical, and electrical properties for energy storage. Cited By : 1

3.Ramesan, M. T., & Co-authors. (n.d.). Synthesis of nanocurcumin conjugated titanium dioxide bio-nanocomposites for enhanced optical, electrical, and antibacterial applications. Cited By : 1

4.Ramesan, M. T., & Co-authors. (n.d.). Multifunctional chitosan/chloro-aspirin composites for energy storage and biomedical applications.

5.Ramesan, M. T., & Co-authors. (n.d.). Facile green fabrication of boehmite-infused PVA nanocomposites with superior mechanical, thermal, and electrical performance. Cited By : 1

Hadi Gokcen | Engineering | Best Researcher Award

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Prof. Hadi Gokcen | Engineering | Best Researcher Award

Professor | Gazi University Industrial Engineering Department | Turkey

Dr. Hadi Gökçen, affiliated with Gazi University, Ankara, Turkey, is a distinguished researcher recognized for his influential contributions to industrial engineering, operations research, and computational intelligence. With 51 published documents, an h-index of 23, and more than 1,920 citations from 1,367 citing documents, his scholarly impact spans data-driven decision systems, intelligent manufacturing, and applied artificial intelligence. His recent works reflect a strong integration of machine learning, optimization, and sustainability in solving real-world industrial and economic problems. In Computational Economics , he introduced a hybrid machine learning model that combines clustering and stacking ensemble approaches for improved real estate price prediction. His research published in Applied Sciences Switzerland, proposed a dynamic scheduling method for identical parallel-machine environments through a multi-purpose intelligent utility framework. In Flexible Services and Manufacturing Journal, he presented innovative balancing and sequencing strategies for mixed-model parallel robotic assembly lines, emphasizing energy-efficient production. Further, his Survey Review paper applied hybrid unsupervised learning to identify sub-real estate markets, enhancing prediction accuracy and market segmentation. His contribution to developing a Digital Transformation Perception Scale underscores his focus on organizational innovation and industrial adaptation within the Industry paradigm. Dr. Gökçen’s interdisciplinary research bridges artificial intelligence, optimization, and digital transformation, advancing the understanding and implementation of intelligent, sustainable, and adaptive systems in engineering and economic domains.

Profiles : ORCID | Scopus | Google Scholar 

Featured Publications

1. Demirel, N. Ö., & Gökçen, H. (2008). A mixed integer programming model for remanufacturing in reverse logistics environment. The International Journal of Advanced Manufacturing Technology, 39(11), 1197–1206.
Cited By : 258

2. Demirel, E., Demirel, N., & Gökçen, H. (2016). A mixed integer linear programming model to optimize reverse logistics activities of end-of-life vehicles in Turkey. Journal of Cleaner Production, 112, 2101–2113.
Cited By : 247

3. Gökçen, H., Ağpak, K., & Benzer, R. (2006). Balancing of parallel assembly lines. International Journal of Production Economics, 103(2), 600–609.
Cited By : 226

4. Gökçen, H. (2007). Yönetim bilgi sistemleri. Ankara: Palme Yayıncılık.
Cited By : 217

5. Erel, E., & Gökçen, H. (1999). Shortest-route formulation of mixed-model assembly line balancing problem. European Journal of Operational Research, 116(1), 194–204.
Cited By : 189

Mohammad Taghilou | Engineering | Best Researcher Award

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Assoc. Prof. Dr. Mohammad Taghilou | Engineering | Best Researcher Award

Associate professor | University of Zanjan | Iran

Dr. Mohammad Taghilou is an Associate Professor in the Department of Mechanical Engineering at the University of Zanjan, Iran. His research expertise lies in heat transfer, phase change problems, energy storage, and porous media, with an emphasis on the lattice Boltzmann method (LBM) and its applications in thermal systems. Over his academic career, he has authored impactful studies published in leading journals such as Applied Thermal Engineering, Computers & Mathematics with Applications, and the International Journal of Thermal Sciences. His most cited works explore PCM solidification, nanofluid-based heat exchangers, and the thermal behavior of energy storage systems. Dr. Taghilou’s studies significantly contribute to advancing thermal management technologies, including applications in lithium-ion batteries, heat sinks, and double-pipe exchangers, with an aim to enhance energy efficiency and system reliability. His collaborations with international scholars from institutions such as the University of Tehran, Aalto University (Finland), and the University of Technology Sydney have expanded the interdisciplinary reach of his research. With 541 total citations, an h-index of 15, and an i10-index of 16, his work demonstrates both academic impact and global relevance. Through innovative numerical modeling and experimental approaches, Dr. Taghilou continues to advance understanding in phase-change thermal systems and nanomaterial-enhanced heat transfer, fostering sustainable energy applications and modern engineering solutions.

Profiles: ORCID | Scopus | Google Scholar | ResearchGate | LinkedIn

Featured Publications

1.Sajedi, R., Osanloo, B., Talati, F., & Taghilou, M. (2016). Splitter plate application on the circular and square pin fin heat sinks.  Cited by : 70

2.Taghilou, M., & Rahimian, M. H. (2014). Investigation of two-phase flow in porous media using lattice Boltzmann method. Cited By : 49

3.Talati, F., & Taghilou, M. (2015). Lattice Boltzmann application on the PCM solidification within a rectangular finned container. Cited By : 44

4.Taheri, A. A., Abdali, A., Taghilou, M., Alhelou, H. H., & Mazlumi, K. (2021). Investigation of mineral oil-based nanofluids effect on oil temperature reduction and loading capacity increment of distribution transformers.
Cited By : 40

5.Taghilou, M., & Khavasi, E. (2020). Thermal behavior of a PCM filled heat sink: The contrast between ambient heat convection and heat thermal storage. Cited By : 36

Mohammed M Alenazi | Computer Science and Artificial Intelligence | Best Researcher Award

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Dr. Mohammed M Alenazi | Computer Science and Artificial Intelligence | Best Researcher Award

Assistance Professor | University of Tabuk | Saudi Arabia

Dr. Mohammed M. Alenazi is an Assistant Professor of Computer Engineering at the University of Tabuk, Saudi Arabia, whose research focuses on the intersection of energy-efficient communication networks, machine learning, and distributed systems. His work advances intelligent computing architectures that optimize performance, reduce energy consumption, and enable sustainability in next-generation networks. Dr. Alenazi has contributed to several impactful studies, including energy-efficient neural network embedding in IoT over passive optical networks, distributed machine learning in cloud–fog environments, and AI-driven frameworks for 6G-IoT-based remote cardiac monitoring. His research extends to federated learning for low-latency IoT communications, hybrid cloud edge architectures for real-time cryptocurrency forecasting with blockchain integration, and machine learning-optimized energy management for resilient residential microgrids with electric vehicle integration. His scholarly output, cited over 50 times with an h-index of 4 and i10-index of 3, reflects growing recognition in the domains of sustainable networking and intelligent systems. Dr. Alenazi’s work combines AI, IoT, and cloud–fog computing to create adaptive, energy-aware solutions for smart environments, healthcare, and industrial systems. Through his innovative contributions, he continues to enhance the efficiency, reliability, and intelligence of modern communication infrastructures, positioning his research at the forefront of AI-powered green networking and distributed intelligence for the evolving digital ecosystem.

Profiles : ORCID | Scopus | Google Scholar | ResearchGate

Featured Publications

1. Alenazi, M. M., Yosuf, B. A., El-Gorashi, T., & Elmirghani, J. M. H. (2020). Energy efficient neural network embedding in IoT over passive optical networks. Cited By : 13

2.Yosuf, B. A., Mohamed, S. H., Alenazi, M. M., El-Gorashi, T. E. H., & Elmirghani, J. M. H. (2021). Energy-efficient AI over a virtualized cloud fog network. Cited By : 12

3.Alenazi, M. M., Yosuf, B. A., Mohamed, S. H., El-Gorashi, T. E. H., & Elmirghani, J. M. H. (2021). Energy-efficient distributed machine learning in cloud fog networks. Cited By : 10

4.Banga, A. S., Alenazi, M. M., Innab, N., Alohali, M., Alhomayani, F. M., Algarni, M. H., et al. (2024). Remote cardiac system monitoring using 6G-IoT communication and deep learning. Cited By : 6

5.Alenazi, M. M., Yosuf, B. A., Mohamed, S. H., El-Gorashi, T. E. H., & Elmirghani, J. M. H. (2022). Energy efficient placement of ML-based services in IoT networks. Cited By : 4