Mengli Sui | Engineering | Best Researcher Award

Best Researcher Award

Mengli Sui
Researcher affiliated with the Chinese University of Hong Kong

Mengli Sui
Affiliation Chinese University of Hong Kong
Country China
Scopus ID 58640542100
Documents 10
Citations 128
h-index 3
Subject Area Engineering
Event International Invention Awards
ORCID 0000-0001-9811-5292

Mengli Sui is presented in this academic recognition profile as a researcher affiliated with the Chinese University of Hong Kong, with engineering identified as the relevant subject area. The profile brings together the researcher information supplied for the Best Researcher Award in connection with the International Invention Awards. Bibliographic indicators, including publication count, citations, and h-index, are included as reported figures and should be interpreted in the context of the relevant database and the date of retrieval. The information provides a structured starting point for reviewing research activity, publication records, and potential contributions to engineering. [1]

Abstract

This profile presents Mengli Sui in the context of the Best Researcher Award associated with the International Invention Awards. The supplied information identifies an affiliation with the Chinese University of Hong Kong, China, and a research subject area of engineering. The reported bibliometric indicators comprise ten documents, 128 citations, and an h-index of three. These indicators provide an initial quantitative description of the research record but do not independently establish research quality, originality, or practical significance. A comprehensive assessment should consider verified publications, methodological contributions, citation context, collaboration, reproducibility, and evidence of engineering applications. The profile supports further scholarly evaluation and transparent recognition.[1]

Keywords

Mengli Sui; Best Researcher Award; engineering research; Chinese University of Hong Kong; bibliometric analysis; research publications; citation impact; h-index; academic recognition; International Invention Awards.

Introduction

Academic recognition provides an opportunity to highlight research activity, scientific communication, and contributions to the development of knowledge. In engineering, research can encompass the design, analysis, testing, and improvement of systems, materials, processes, and technologies. Evaluating a researcher requires consideration of the relevance and quality of their work alongside quantitative indicators. Database records can help establish a publication history, although author disambiguation, coverage, and update frequency may affect the reported results. Accordingly, the information presented here should be considered a preliminary profile rather than an independently verified account of every research achievement. [1] [2]

Research Profile

The supplied profile associates Mengli Sui with the Chinese University of Hong Kong and identifies engineering as the subject area. The Scopus author identifier provided for the profile is 58640542100, while the supplied ORCID identifier is 0000-0001-9811-5292. These identifiers can assist readers in locating scholarly records and distinguishing researchers with similar names. Institutional affiliation, publication attribution, and author identity should nevertheless be confirmed against the corresponding official records before the information is used for formal evaluation, institutional reporting, or award documentation. [1] [3]

Research Contributions

Research contributions in engineering may include the development of new designs, improvements to existing technologies, analytical methods, experimental findings, computational models, and solutions to practical technical challenges. Determining the specific contributions attributable to an individual requires examination of their publications, stated research objectives, methods, results, and role in collaborative projects. The supplied information does not identify particular papers, patents, inventions, or engineering applications by Mengli Sui. Consequently, no specific discovery or technical achievement is attributed here without supporting evidence. A detailed assessment would benefit from verified publication records and descriptions of documented research outcomes.[1]

Publications

The supplied bibliometric information reports ten documents associated with the researcher. The individual publication titles, author lists, publication dates, journal details, and digital object identifiers have not been provided for independent confirmation. The Scopus author profile is therefore the principal starting point for reviewing the indexed document record. A rigorous publication assessment should verify each relevant work, distinguish original research from reviews and other document types, and confirm the researcher’s authorship. Where available, DOI links and publisher records can support accurate identification and help readers locate the original scholarly material. [1]

Research Impact

The supplied profile reports 128 citations and an h-index of three. Citation counts indicate how often indexed works have been cited within a particular database and at a particular time, while the h-index combines publication productivity with citation frequency. Neither measure directly captures every dimension of research quality, societal benefit, innovation, or technical usefulness. Citation patterns vary across disciplines, publication types, and career stages, and database coverage may differ. These indicators should therefore be interpreted alongside the content and originality of the research, evidence of practical application, collaboration, and other relevant scholarly outcomes. [2] [4]

Award Suitability

The Best Researcher Award profile places the researcher within an academic recognition context associated with the International Invention Awards. The reported engineering affiliation and bibliometric indicators may provide useful starting points for a review. However, award suitability cannot be established from publication and citation figures alone. A balanced evaluation should examine verified scholarly output, originality, individual contributions, research integrity, documented influence, and relevance to the award’s published eligibility and assessment criteria. The information available for this profile is insufficient to confirm a final selection decision or independently establish that all award requirements have been met.[2]

Conclusion

This article consolidates the supplied academic profile information for Mengli Sui, including the stated institutional affiliation, engineering subject area, researcher identifiers, and bibliometric indicators. The reported figures provide a concise overview of the record as supplied, but they should be checked against current authoritative databases before formal publication or use in an award assessment. A more comprehensive evaluation would incorporate verified publications, specific engineering contributions, research methods, evidence of impact, and documented professional achievements. Maintaining clear distinctions between supplied information and independently verified evidence supports accurate academic communication and transparent recognition

References

  1. Elsevier. (n.d.). Scopus author details: Mengli Sui, Author ID 58640542100.
    https://www.scopus.com/authid/detail.uri?authorId=58640542100
  2. Article (2026).Finger-level tactile intelligence toward robotic dexterous operation via afferent encoding and neuronal multiplexing.
    https://doi.org/10.21203/rs.3.rs-8222318/v1
  3. ORCID. (n.d.). ORCID researcher identifier and profile.
    https://orcid.org/0000-0001-9811-5292
  4. Journal article (2023. ). A soft-packaged and portable rehabilitation glove capable of closed-loop fine motor skills.
    https://doi.org/10.1038/s42256-023-00728-z
  5. International Invention Awards. (2026. ). Official award website.
    https://inventionawards.org/

Amjaad Altakhaineh | Electrical Engineering | Excellence in Innovation

Ms. Amjaad Altakhaineh | Electrical Engineering | Excellence in Innovation

AI and Electrical Engineering Researcher, Mutah university, Jordan.

Amjaad Tayel Altakhaineh is a skilled Telecommunications and Machine Learning Engineer based in Amman, Jordan. With over 3 years of experience, she excels in designing 5G/6G antennas, machine learning models, and data analysis. Her expertise spans from RF and antenna systems to AI-driven solutions for wireless communication. Amjaad is proficient in programming with Python and has contributed to numerous technical projects in both telecommunications and AI. She is an adept researcher, having worked on various projects in machine learning and antenna design for healthcare and smart city applications.

Profile

Scopus

Orcid

Education 🎓

Amjaad Tayel Altakhaineh is a dedicated engineer with a strong academic background in artificial intelligence and telecommunications. She completed her Diploma in AI and Machine Learning at Al Hussein Technical University, Jordan, in January 2023. Her capstone projects focused on cutting-edge solutions, including a deep learning approach to track breast cancer tumor evolution using antennas and a project aimed at reducing wireless communication traffic in smart city systems through artificial neural networks.

Prior to that, Amjaad earned her Master’s degree in Telecommunications Engineering from The University of Mutah, Jordan, in January 2022, where she graduated as the top student with a thesis titled “A New 5G Antenna with Large Frequency Ratio based on Dual-mode Composite,” achieving an impressive GPA of 92.29%. Her work demonstrated innovative designs for future telecommunication systems.

Her academic journey began with a B.Sc. in Electrical Engineering with a specialization in Telecommunications, also from The University of Mutah, which she completed in September 2016. Her undergraduate capstone project, “Smart Hat for Blind and Poor Vision People,” which garnered an excellent score of 85.36%, reflected her commitment to applying engineering principles to address real-world problems.

Experience 💼

Amjaad Tayel Altakhaineh has been serving as a Research Assistant at NATO since April 2022, where she focuses on antenna design for disaster applications and AI models. Her role includes contributing to research paper publications and participating in antenna measurement processes, showcasing her expertise in advanced technologies.

Previously, she worked as a Telecom Engineer Trainee at the Ministry of Communication from August 2017 to August 2018. There, she was responsible for supervising and maintaining network systems and testing communication technologies, gaining hands-on experience in the telecommunications field.

In her current role as a Python Programming Instructor at Pioneers-Jordan and the American University of Madaba (since August 2023), Amjaad teaches Python programming, data science, and machine learning, imparting her knowledge to students and professionals eager to advance their skills in these domains

Research Interests 🔍

Artificial Intelligence and Machine Learning: Proficient in applying AI techniques for various applications, including predictive modeling and data analysis.

Antenna Engineering for 5G/6G and RF Applications: Focused on designing antennas optimized for advanced telecommunications standards, contributing to her research at NATO.

Predictive Modeling and Data Analysis: Skilled in using data-driven methods to forecast trends and inform decision-making processes in various fields.

AI in Smart City and Healthcare Systems: Engaged in projects that leverage AI to improve infrastructure and health services, enhancing quality of life in urban environments.

Electromagnetic Simulation for Telecommunications: Experienced in using simulation tools to analyze and optimize the performance of communication systems, ensuring efficient and reliable network operations.

Awards 🏆

First Rank in the B.Sc. Program (2014-2016)

First Rank in the M.Sc. Program (2019-2022)

Al Hussein Technical University Diploma Scholarship (2022-2023)

Publications Top Notes 📚

Machine Learning-Aided Dual-Function Microfluidic SIW Sensor Antenna for Frost and Wildfire Detection Applications Energies Published: October 19, 2024 Contributors: Amjaad T. Altakhaineh, Rula Alrawashdeh, Jiafeng Zhou. Link

A Deca-Band, Shared-Aperture, Dual-Mode Composite Antenna for Microwave and Millimeter-Wave 5G Applications
International Review of Electrical Engineering Published: 2023  Contributors: Amjaad T. Altakhaineh, S.S. Alja’afreh. Link

A Quad-Band Shared-Aperture Antenna Based on Dual-Mode Composite Quarter-Mode SIW Cavity for 5G and 6G with MIMO Capability Electronics (Switzerland) Published: 2023 Contributors: Amjaad T. Altakhaineh, S.S. Alja’afreh, A.M. Almatarneh, E. Almajali, L. Al-Tarawneh, J. Yousaf. Link

Machine Learning-Enhanced Microfluidic SIW Sensor for Water-in-Fuel Detection Applications 2023 14th International Conference on Information and Communication Systems, ICICS 2023 Published: 2023 Contributors: Amjaad T. Altakhaineh, S.S. Alja’afreh. Link

A Dual-Frequency Single-Slot Substrate Integrated Waveguide Antenna for 5G Millimeter Applications 2022 International Conference on Emerging Trends in Computing and Engineering Applications, ETCEA 2022 – Proceedings Published: 2022 Contributors: Amjaad T. Altakhaineh, S.S. Alja’afreh. Link