Salamat Ullah | Computational Mechanics | Best Researcher Award

Published on by Technology Scientists

Best Researcher Award

Salamat Ullah
Ningbo University, China
                         Salamat Ullah
Affiliation Ningbo University
Country China
Scopus ID 57205352715
Documents 34
Citations 501
h-index 13
Subject Area Computational Mechanics
Event Technology Scientists Awards
Google Scholar ID hXYiod0AAAAJ

This academic recognition article presents an overview of the scholarly profile of Salamat Ullah of Ningbo University in the field of Computational Mechanics. The profile highlights publication activity, citation performance, analytical research outputs, and the broader academic influence supporting consideration for the Best Researcher Award within the Technology Scientists Awards framework.[1]

Abstract

Salamat Ullah has developed a research portfolio focused on analytical and computational investigations of structural mechanics and plate behavior. His published studies emphasize generalized integral transform methodologies, vibration analysis, and buckling solutions for orthotropic and composite structures. With measurable citation performance, sustained publication output, and contributions to computational mechanics, the profile reflects scholarly continuity and academic influence. These activities support evaluation within a structured recognition context and demonstrate engagement with internationally disseminated engineering research outcomes.[1][2][3]

Keywords

Computational Mechanics; Plate Vibration; Structural Analysis; Generalized Integral Transform; Buckling Analysis; Composite Structures; Engineering Research; Academic Recognition.

Introduction

Computational mechanics integrates analytical methods with engineering applications to evaluate structural performance under varying conditions. The research activities associated with Salamat Ullah demonstrate attention to mathematical modelling, structural stability, and vibration behavior through analytical solution development and validated engineering approaches.[1]

Research Profile

The researcher’s profile reflects interdisciplinary engagement across mechanics, mathematical modelling, and computational engineering. Publication records and citation indicators suggest sustained scholarly participation with emphasis on analytical frameworks designed to address practical and theoretical structural engineering questions.[2]

Research Contributions

Research contributions include analytical solution strategies for buckling and vibration response in rectangular and orthotropic plates. The work extends generalized integral transformation approaches and supports improved understanding of constrained structural systems under engineering loading conditions.[1][3]

Publications

The publication record includes peer-reviewed studies addressing thin plates, orthotropic systems, and vibration mechanics. These publications demonstrate continuity in methodology and reveal an evolving emphasis on analytical precision, reproducibility, and structural response characterization.[1][2]

Research Impact

Citation indicators and documented publication activity indicate measurable scholarly visibility. Research outcomes contribute to computational mechanics literature by offering analytical references applicable to engineering analysis, educational contexts, and future methodological developments.[2]

Award Suitability

Evaluation for the Best Researcher Award may consider documented outputs including publications, citation indicators, and subject relevance. The profile demonstrates sustained academic engagement aligned with recognition criteria emphasizing research dissemination and contribution quality.[1]

Conclusion

This article summarizes an academic profile centered on computational mechanics and analytical structural research. The combination of publication activity, citation metrics, and specialized engineering contributions presents a structured overview suitable for academic recognition documentation.[1][3]

References

  1. Ullah, S., et al. (2019). Analytical buckling solutions of rectangular thin plates by straightforward generalized integral transform method. International Journal of Solids and Structures.
    https://www.sciencedirect.com/science/article/abs/pii/S002074031834092X
  2. Ullah, S., et al. (2019). New analytical free vibration solutions of orthotropic rectangular thin plates using generalized integral transformation. Journal of Computational and Applied Mathematics.
    https://www.sciencedirect.com/science/article/pii/S037704271930442X
  3. Ullah, S., et al. (2021). A new analytical solution of vibration response of orthotropic composite plates with two adjacent edges rotationally-restrained and the others free. Composite Structures.
    https://www.sciencedirect.com/science/article/abs/pii/S0263822321003421

Shuyuan Zhao | Technology Scientists Innovations | Research Excellence Award

Published on by Technology Scientists

Research Excellence Award

Shuyuan Zhao
Affiliation Harbin Institute of Technology
Country China
Scopus ID 8951436100
Documents 50
Citations 879
h-index 16
Subject Area Technology Scientists Innovations
Event Technology Scientists Awards
ORCID 0000-0002-5502-1197

Shuyuan Zhao
Harbin Institute of Technology

Shuyuan Zhao is a researcher affiliated with Harbin Institute of Technology, China, whose scholarly activities are reflected through a substantial body of publications and measurable academic influence. With documented contributions spanning technology-driven scientific innovation, Zhao’s research profile demonstrates engagement with emerging technological methodologies, interdisciplinary applications, and knowledge dissemination. Bibliometric indicators, including publication volume, citation performance, and h-index values, suggest sustained research visibility and scholarly recognition within relevant scientific communities. The following article presents a structured overview of academic achievements, research contributions, publication influence, and suitability for recognition through the Research Excellence Award.[1]

Abstract

This article presents an academic overview of Shuyuan Zhao and evaluates research achievements in the context of the Research Excellence Award. Zhao’s scholarly record includes publications focused on technological innovation, advanced scientific methodologies, and interdisciplinary research applications. Bibliometric indicators reveal sustained academic productivity supported by citation visibility and an established h-index. Research outputs demonstrate engagement with contemporary scientific challenges and contributions to knowledge development within technology-oriented domains. The profile highlights publication performance, research influence, collaborative potential, and scholarly relevance, providing a structured assessment of achievements that support recognition within competitive academic and scientific award frameworks.[1][2]

Keywords

Technology Innovation, Engineering Research, Scientific Computing, Advanced Materials, Intelligent Systems, Applied Technology, Interdisciplinary Research, Computational Methods, Emerging Technologies, Research Impact.

Introduction

Academic excellence is commonly evaluated through research productivity, citation performance, innovation, and scientific relevance. Shuyuan Zhao’s scholarly activities reflect participation in technology-oriented research areas that contribute to scientific understanding and practical advancement. Through peer-reviewed publications and collaborative research efforts, Zhao has established a measurable academic presence within contemporary scientific literature.[1]

Research Profile

The research profile of Shuyuan Zhao is characterized by a documented publication portfolio comprising approximately fifty indexed documents and significant citation accumulation. Affiliation with Harbin Institute of Technology supports engagement in advanced scientific investigations, interdisciplinary collaborations, and innovation-focused studies that align with evolving technological research priorities and global scientific development trends.[1]

Research Contributions

Zhao’s research contributions demonstrate involvement in technological innovation and scientific problem-solving through the development and application of modern methodologies. Published studies contribute to the expansion of technical knowledge while supporting broader research objectives. These contributions reflect consistent scholarly engagement and participation in advancing research outcomes across technology-related disciplines.[2][3]

Publications

The publication record associated with Shuyuan Zhao reflects continuous scholarly activity within recognized academic venues. Research outputs include articles addressing technological advancements, methodological developments, and interdisciplinary applications. Publication visibility within indexed databases enhances accessibility and contributes to the dissemination of scientific findings among international research communities.[1][4]

Research Impact

Research impact is reflected through citation metrics, scholarly visibility, and the continued use of published findings by other researchers. With hundreds of citations and a measurable h-index, Zhao’s work demonstrates influence within the scientific community. Such indicators suggest that research outputs contribute meaningfully to ongoing academic discussions and future investigations.[1][5]

Award Suitability

Based on available scholarly indicators, Shuyuan Zhao demonstrates characteristics frequently considered during evaluations for research excellence recognition. Academic productivity, citation influence, institutional affiliation, and contributions to technological innovation collectively support consideration for the Research Excellence Award. The profile aligns with criteria emphasizing sustained scholarly achievement and research significance.[1][5]

Conclusion

Shuyuan Zhao’s academic record reflects a combination of publication productivity, citation influence, and engagement in technology-oriented scientific research. Bibliometric evidence and institutional affiliation indicate a sustained contribution to scholarly advancement. Collectively, these factors support recognition of research accomplishments and provide a foundation for evaluating excellence within competitive academic award programs.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Shuyuan Zhao, Author ID 8951436100. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=8951436100
  2. ORCID. (n.d.). ORCID record for Shuyuan Zhao.
    https://orcid.org/0000-0002-5502-1197

  3. Zhang, Y., Wei, Y., Fu, Z., Luo, Z., Zhao, S., Yu, Y., & Huang, L. (n.d.). Tensile creep behavior of 2.5D SiCf/SiC composites at elevated temperatures in air. https://link.springer.com/article/10.1007/s10853-026-12628-9

  4. Chen, T., Yu, Y., Luo, Z., & Zhao, S. (n.d.). Study on the formation mechanism of pit defects and their influence on magneto-optical properties in (TbYbBi)₃Fe₅O₁₂ crystals grown by the LPE method. https://pubs.acs.org/doi/10.1021/acs.cgd.5c00345

  5. Technology Scientists Awards. (n.d.). Award information and recognition framework.
    https://technologyscientists.com/

Xiangning Meng | Technology Scientists Innovations | Best Researcher Award

Published on by Technology Scientists

Best Researcher Award

Xiangning Meng
Northeastern University

Xiangning Meng
Affiliation Northeastern University
Country China
Scopus ID 14033438400
Documents 85
Citations 995
h-index 19
Subject Area Technology Scientists Innovations
Event Technology Scientists Awards
ORCID 0000-0002-4041-2806

Xiangning Meng is a researcher affiliated with Northeastern University whose scholarly work has contributed to technology-oriented scientific research and innovation. Through publications indexed in major academic databases, Meng has participated in advancing knowledge within engineering and technology-related disciplines. The researcher’s publication record, citation performance, and sustained academic activity demonstrate engagement with contemporary scientific challenges and interdisciplinary collaboration. Recognition through a Best Researcher Award acknowledges scholarly productivity, research influence, and contributions to the broader scientific community.[1][2]

Abstract

This article presents an academic overview of Xiangning Meng and evaluates the researcher’s suitability for recognition through a Best Researcher Award. Affiliated with Northeastern University, Meng has developed a scholarly profile characterized by consistent publication activity, measurable citation influence, and contributions to technology-focused scientific innovation. Research outputs indexed through international databases demonstrate engagement with contemporary scientific questions and collaborative investigation. Citation indicators, publication productivity, and participation in advancing technological knowledge collectively reflect a sustained commitment to research excellence. These achievements provide an evidence-based foundation for professional recognition within the Technology Scientists Awards framework.[1][3]

Keywords

Northeastern University, Technology Innovation, Scientific Research, Engineering Research, Research Excellence, Scholarly Impact, Academic Publications, Best Researcher Award, Technology Scientists Awards.

Introduction

The assessment of research excellence commonly considers publication productivity, scholarly influence, and contributions to advancing scientific understanding. Xiangning Meng has established a research presence through sustained academic activity and participation in technology-related investigations. Such achievements provide valuable indicators for evaluating professional distinction and academic recognition within competitive award programs.[1]

Research Profile

The research profile of Xiangning Meng reflects active engagement in scientific inquiry associated with technological innovation and engineering-oriented scholarship. Affiliation with Northeastern University has supported participation in collaborative research environments, while indexed publications demonstrate ongoing contributions to knowledge generation and dissemination across relevant academic communities.[1][2]

Research Contributions

Meng’s scholarly contributions are represented through peer-reviewed publications addressing technological and scientific challenges. The body of work contributes to the advancement of research methodologies, innovation-oriented applications, and interdisciplinary knowledge exchange. These contributions support continued development within technology-focused research domains and demonstrate meaningful academic engagement.[2][4]

Publications

With eighty-five indexed documents, Xiangning Meng has maintained a consistent publication record that reflects sustained research productivity. The publication portfolio demonstrates participation in scholarly communication through journal articles and related academic outputs. Such productivity contributes to visibility within the scientific community and supports the dissemination of research findings.[1]

Research Impact

Research impact may be evaluated through citation metrics and indicators of scholarly influence. Available bibliometric information shows that Meng’s publications have received substantial academic attention, reflected in citation counts and an established h-index. These measures indicate that the research outputs have contributed to ongoing scientific discussions and subsequent investigations.[1][3]

Award Suitability

Consideration for a Best Researcher Award is supported by evidence of sustained scholarly productivity, measurable research influence, and participation in advancing technological innovation. Xiangning Meng’s publication record, citation performance, and academic engagement collectively align with commonly recognized criteria for research distinction and professional recognition within scientific award frameworks.[1][5]

Conclusion

Xiangning Meng has developed a scholarly profile characterized by sustained research activity, publication productivity, and measurable academic influence. Available bibliometric indicators and documented contributions to technology-oriented research provide a credible basis for recognition. The researcher’s achievements reflect continued engagement with scientific advancement and support consideration for distinguished academic honors.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Xiangning Meng, Author ID 14033438400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=14033438400
  2. ORCID. (n.d.). Xiangning Meng researcher profile.
    https://orcid.org/0000-0002-4041-2806

  3. Miao, Z., Meng, X., & Liang, B. (n.d.). Decoupling efficiency and reliability in thermoelectric modules: A structural strategy with edge insulation and compliant conductors.

    https://www.scilit.com/publications/9cafdbc6a5caa7851bac8afba4fe5c62

  4. Yang, G., Meng, X., & Li, W. (n.d.). Effect of P2O5 on the viscous flow and crystallisation behaviour of slag in the double slag converter steelmaking process. https://journals.sagepub.com/doi/10.1177/03019233241280062

  5. Technology Scientists Awards. (n.d.). Award objectives and recognition criteria.
    https://technologyscientists.com/

Yupeng Tai | Digital Signal Processing | Best Researcher Award

Published on by Technology Scientists

Best Researcher Award

Yupeng Tai — Chinese Academy of Sciences

                           Yupeng Tai
Affiliation Chinese Academy of Sciences
Country China
Scopus ID 57187721600
Documents 27
Citations 103
h-index 6
Subject Area Digital Signal Processing
Event Technology Scientists Awards
ORCID 0000-0002-8684-5949

Yupeng Tai is a researcher affiliated with the Chinese Academy of Sciences whose scholarly activities focus on digital signal processing and related computational methodologies. His publication record, citation performance, and international research visibility demonstrate sustained engagement with scientific investigation and knowledge dissemination. Based on publicly available academic profiles and bibliographic indicators, his research contributions have supported developments in signal analysis, data processing, and applied technological research.[1][2]

Abstract

Yupeng Tai is an active researcher associated with the Chinese Academy of Sciences whose work contributes to the advancement of digital signal processing and computational analysis. Through peer-reviewed publications, collaborative investigations, and methodological developments, he has demonstrated continued engagement in scientific research. His academic profile includes twenty-seven indexed documents, more than one hundred citations, and an established h-index reflecting measurable scholarly influence. The combination of research productivity, citation visibility, and commitment to technological innovation provides evidence of a meaningful contribution to contemporary engineering and signal-processing studies within the broader scientific community.[1]

Keywords

Digital Signal Processing; Signal Analysis; Data Processing; Computational Methods; Engineering Research; Information Systems; Scientific Innovation; Pattern Recognition; Technology Development; Applied Signal Processing.

Introduction

Digital signal processing remains a foundational discipline supporting modern communication, sensing, automation, and intelligent computing systems. Within this field, Yupeng Tai has contributed through scholarly publications and technical research activities. His academic record reflects participation in research addressing computational techniques and signal-related challenges relevant to contemporary technological development.[1]

Research Profile

Affiliated with the Chinese Academy of Sciences, Yupeng Tai maintains a research profile centered on digital signal processing and associated analytical methodologies. His scholarly portfolio includes internationally indexed publications, measurable citation impact, and participation in scientific dissemination activities. These indicators collectively demonstrate consistent engagement with academic research and professional development.[1][2]

Research Contributions

Yupeng Tai’s research contributions are associated with the advancement of signal-processing methodologies, computational modeling, and data interpretation techniques. His published studies contribute to ongoing scientific discussions within engineering and information-processing domains. The resulting scholarly outputs support knowledge expansion and provide reference material for future investigations in related research areas.[1]

Publications

The researcher’s publication record includes twenty-seven indexed documents spanning topics relevant to digital signal processing and applied computational research. These publications contribute to the scholarly literature through methodological development, experimental evaluation, and technical reporting. Citation activity indicates continued utilization of these works within academic and research communities.[3]

Research Impact

Research impact can be observed through publication visibility, citation performance, and academic engagement. With over one hundred citations and an h-index of six, Yupeng Tai’s work has received measurable recognition from the scholarly community. These indicators suggest that his publications contribute to ongoing research and technological advancement efforts.[1]

Award Suitability

Considering his documented publication record, citation metrics, institutional affiliation, and contributions within digital signal processing, Yupeng Tai demonstrates qualifications commonly associated with research recognition programs. His sustained scholarly productivity and evidence of scientific influence align with evaluation criteria frequently applied to researcher-focused academic awards and honors.[1][4]

Conclusion

Yupeng Tai has established a visible academic presence through research outputs, citation impact, and participation in scientific advancement. His contributions to digital signal processing, combined with recognized scholarly productivity, support his consideration for professional recognition. Available academic indicators reflect a continuing commitment to research excellence and technological innovation.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Yupeng Tai, Author ID 57187721600. Scopus. https://www.scopus.com/authid/detail.uri?authorId=57187721600
  2. ORCID. (n.d.). Research profile of Yupeng Tai ORCID Registry. https://orcid.org/0000-0002-8684-5949
  3. ResearchGate. (n.d.). Yupeng Tai Research Profile. https://www.researchgate.net/profile/Yupeng-Tai
  4. Technology Scientists Awards. (n.d.). Award nomination and evaluation information. https://technologyscientists.com/

Saeed Amani | Civil Engineering | Best Researcher Award

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Dr. Saeed Amani | Civil Engineering | Best Researcher Award

Research Assistant | Tarbiat Modares University | Iran

Dr. Saeed Amani is a researcher at Tarbiat Modares University, Tehran, Iran, specializing in construction materials engineering with a focus on asphalt binders, pavement performance, and material durability under environmental and aging effects. He has authored 11 peer-reviewed publications, which have collectively received 191 citations, and holds an h-index of 7, reflecting a growing influence in the field of civil and transportation engineering. His research emphasizes the modification and characterization of asphalt materials to improve bonding strength, moisture resistance, and long-term sustainability, contributing significantly to the development of more durable and environmentally responsible pavement systems. His recent publication, “Characterizing the effects of aging and modification on asphalt binder bonding properties and moisture sensitivity” (2025, Case Studies in Construction Materials), exemplifies his focus on material optimization through empirical and analytical approaches. Collaborating with 17 co-authors from national and international institutions, Dr. Amani actively engages in multidisciplinary research integrating material science, environmental engineering, and infrastructure sustainability. His work advances innovative and cost-effective solutions that enhance the performance and longevity of transportation infrastructures while supporting global objectives in sustainable construction and resource efficiency, positioning him as a promising contributor to the advancement of resilient and eco-efficient civil engineering practices.

Profiles: Scopus | Google Scholar

Featured Publications

1. Amani, S., & Kavussi, A., & Karimi, M. M. (2020). Effects of aging level on induced heating-healing properties of asphalt mixes. Construction and Building Materials, 263, 120105.
Cited by: 72

2. Karimi, M. M., Amani, S., Jahanbakhsh, H., Jahangiri, B., & Alavi, A. H. (2021). Induced heating-healing of conductive asphalt concrete as a sustainable repairing technique: A review. Cleaner Engineering and Technology, 4, 100188.
Cited by: 52

3. Keymanesh, M. R., Amani, S., Omran, A. T., & Karimi, M. M. (2023). Evaluation of the impact of long-term aging on fracture properties of warm mix asphalt (WMA) with high RAP contents. Construction and Building Materials, 400, 132671.
Cited by: 31

4. Amani, S., Jahangiri, B., & Karimi, M. M. (2023). Performance characterization of asphalt mixtures under different aging levels: A fracture-based method. Construction and Building Materials, 383, 131126.
Cited by: 30

5. Amani, S., Jahanbakhsh, H., & Karimi, M. M. (2023). Influences of induced heating-healing on fracture properties and life extension of asphalt mixtures: Experimental investigations. Construction and Building Materials, 400, 132785.
Cited by: 8

Dr. Saeed Amani’s research advances the science of sustainable construction materials by developing innovative asphalt modification techniques that enhance pavement durability, reduce maintenance costs, and improve environmental performance. His work supports global infrastructure resilience and promotes eco-efficient, cost-effective solutions that benefit both industry and society through longer-lasting, safer, and more sustainable transportation systems.

Reza Faraji | Electrical Engineering | Best Researcher Award

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Dr. Reza Faraji | Electrical Engineering | Best Researcher Award

PhD Candidate | University of Science and Culture | Iran

Dr. Reza Faraji is a dedicated PhD candidate in Electrical and Computer Engineering at Islamic Azad University (IAU), with a collaborative affiliation with the University of Science and Culture (USC). His primary area of research is nanoelectronics, with a specialization in Quantum-dot Cellular Automata (QCA) and reversible computing. He earned his Master’s degree in QCA design from USC, where his thesis focused on designing low-power, high-performance digital circuits. Reza’s academic foundation is reinforced by research assistant roles and engagement in advanced nano-circuit projects. His ongoing research includes the design of a Multilayer Reversible ALU (RALU) using Fredkin and HN gates optimized for 6G-enabled IoT systems, and device modeling of AlN/β- and ε-Ga₂O₃ Tri-Gate MOSHEMTs using DFT and TCAD simulations for mm-Wave applications on diamond substrates. These projects aim to advance low-power and high-efficiency architectures for next-generation communication and computation systems. He actively collaborates with Dr. Abdalhossein Rezai (USC) on QCA-based circuit design and with Dr. Amir Amini (IAU, West Tehran Branch) on nanoscale device modeling. Although he has no patents or books published yet, his work shows promise for industrial applications in IoT and semiconductor sectors. Currently, Reza has 5 published documents, 18 citations and an h-index of 3, reflecting the growing impact of his research in the scientific community. His key areas of expertise include QCA, reversible logic, ALU design, nanoscale HEMTs, and energy-efficient digital architectures for 6G and future nanoelectronic systems.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

1. Faraji-Dana, R., & Chow, Y. L. (2002). The current distribution and AC resistance of a microstrip structure. IEEE Transactions on Microwave Theory and Techniques, 38(9), 1268–1277. 
Cited by: 149

2. Mehdipour, A., Mohammadpour-Aghdam, K., & Faraji-Dana, R. (2007). Complete dispersion analysis of Vivaldi antenna for ultra wideband applications. Progress In Electromagnetics Research, 77, 85–96. 
Cited by: 134

3. Hosseininejad, S. E., Rouhi, K., Neshat, M., Faraji-Dana, R., & Abdolali, A. (2019). Reprogrammable graphene-based metasurface mirror with adaptive focal point for THz imaging. Scientific Reports, 9(1), 2868. 
Cited by: 107

4. Abbas-Azimi, M., Arazm, F., Rashed-Mohassel, J., & Faraji-Dana, R. (2007). Design and optimization of a new 1–18 GHz double ridged guide horn antenna. Journal of Electromagnetic Waves and Applications, 21(4), 501–516. 
Cited by: 76

5. Faraji-Dana, R., & Chow, Y. (1990). Edge condition of the field and AC resistance of a rectangular strip conductor. IEE Proceedings H – Microwaves, Antennas and Propagation, 137(2), 133–140. 
Cited by: 71

Ali Yahia Cherif | Electrical Engineering | Best Researcher Award

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Mr. Ali Yahia Cherif | Electrical Engineering | Best Researcher Award

Phd Student | Oum Elbouaghi University | Algeria

Ali Yahia-Cherif is a seasoned Algerian electrical and automation engineer born in 1991, with extensive expertise in predictive control systems, renewable energy, and electronic system diagnostics. He holds a Master’s in Industrial Automation and a Bachelor’s in Automatic Control from the University of Mentouri Constantine, and has been pursuing a Ph.D. in Electrical and Automatic Engineering since 2014 at the University of Larbi Ben M’hidi, focusing on the development of experimental platforms for shunt active filter systems. His professional experience spans over a decade, including roles as a principal engineer and project manager in high and low-current installations—covering solar energy systems, surveillance, access control, and fire safety networks. He also worked as an engineer in security systems and has teaching experience in programming and electrical engineering at the university level. His leadership in the F.E.A.T scientific electronics club demonstrates his early commitment to innovation. Ali has authored over 12 scientific publications in reputable journals such as IET Renewable Power Generation, International Journal of Circuit Theory and Applications, and European Journal of Electrical Engineering, addressing advanced topics in predictive control, hybrid energy storage, and photovoltaic systems. He has presented his work at key international conferences including GPECOM, IREC, and ICEEAC.

Profile: Google Scholar 

Featured Publications

1. Meddour, S., Rahem, D., Yahia Cherif, A., Hachelfi, W., & Hichem, L. (2019). A novel approach for PV system based on metaheuristic algorithm connected to the grid using FS-MPC controller. Energy Procedia, 162, 57–66. 
Cited by: 32

2. Remache, S. E. I., Yahia Cherif, A., & Barra, K. (2019). Optimal cascaded predictive control for photovoltaic systems: Application based on predictive emulator. IET Renewable Power Generation, 13(15), 2740–2751. 
Cited by: 29

3. Yahia Cherif, A., Remache, S. E. I., Barra, K., & Wira, P. (2019). Adaptive model predictive control for three phase voltage source inverter using ADALINE estimator. In 2019 1st Global Power, Energy and Communication Conference (GPECOM) (pp. 164–169). IEEE. 
Cited by: 7

4. Yahia Cherif, A., Hicham, L., & Kamel, B. (2018). Implementation of finite set model predictive current control for shunt active filter. In 2018 9th International Renewable Energy Congress (IREC) (pp. 1–6). IEEE. 
Cited by: 6

5. Meddour, S., Rahem, D., Wira, P., Laib, H., Yahia Cherif, A., & Chtouki, I. (2022). Design and implementation of an improved metaheuristic algorithm for maximum power point tracking algorithm based on a PV emulator and a double-stage grid-connected system. European Journal of Electrical Engineering, 24(3), 423–430.
Cited by: 5