Rima Benidir | Performance Modelling | Best Researcher Award

Published on by Computer Scientists Awards

 

Best Researcher Award

Rima Benidir
Affiliation Putra University of Malaysia
Country Malaysia
Google Scholar ID 9FSc06YAAAAJ
Citations 2
h-index 1
i10-index 1
Subject Area Performance Modelling
Event Computer Scientists Awards

Rima Benidir is associated with Putra University of Malaysia and is recognized for scholarly contributions in the area of performance modelling and computational analysis. Her academic profile reflects emerging research engagement in quantitative system evaluation, analytical modelling methodologies, and interdisciplinary technological applications. The present recognition article has been structured in a professional encyclopedic format to summarize academic achievements, publication relevance, and scholarly contributions connected with the Computer Scientists Awards initiative.[1]

Abstract

This academic recognition profile presents an overview of the scholarly activities and research orientation of Rima Benidir within the field of performance modelling. The recognition aligns with the objectives of the Computer Scientists Awards in acknowledging emerging academic contributions in applied technological research and system analysis.[2]

Keywords

Performance Modelling, Computational Systems, Analytical Modelling, Quantitative Analysis, System Optimization, Applied Computing, Data Evaluation, Technological Research, Mathematical Modelling, Academic Research

Introduction

Performance modelling has become an important area within computer science and systems engineering due to its applications in computational optimization, network evaluation, and analytical forecasting. Researchers working in this field contribute to improved understanding of system behavior, computational efficiency, and technological scalability. Rima Benidir’s academic activities are associated with these evolving research themes and reflect participation in interdisciplinary scientific analysis involving data-driven modelling methodologies.[3]

Research Profile

Rima Benidir is affiliated with Putra University of Malaysia and maintains an academic presence through indexed scholarly platforms. Scholarly indexing services demonstrate an early-stage but developing research portfolio with measurable academic visibility.[1]

  • Institutional affiliation with Putra University of Malaysia
  • Research orientation in performance modelling
  • Documented scholarly citations and indexing metrics
  • Participation in interdisciplinary computational research

Research Contributions

The scholarly contributions associated with Rima Benidir involve analytical evaluation methodologies relevant to system performance and computational efficiency. Such contributions are important in both academic research environments and applied technological sectors where performance evaluation frameworks are increasingly necessary.[4]

The academic significance of performance modelling extends to software systems, network infrastructures, simulation environments, and operational analytics. Contributions within these domains support evidence-based decision making and computational reliability assessment in modern technological applications.[5]

Publications

The publication profile associated with the researcher demonstrates engagement with academic dissemination and indexed scholarly communication. Available metrics indicate citation activity connected with computational and analytical studies. Publication records and indexing profiles contribute to the visibility of emerging researchers within international academic databases.[1]

  1. Research studies related to computational performance evaluation
  2. Analytical modelling and quantitative system investigations
  3. Academic publications indexed through scholarly databases

Research Impact

Although the documented citation profile remains at an early academic stage, the research indicators reflect participation in recognized scholarly communication systems. Citation metrics, indexing visibility, and interdisciplinary engagement contribute to the broader dissemination of analytical modelling research. Emerging scholars in computational sciences frequently develop foundational expertise through incremental publication and collaborative academic activities.[2]

Award Suitability

Rima Benidir’s academic profile demonstrates relevance to the objectives of the Computer Scientists Awards, particularly in relation to performance modelling and computational research. The documented research metrics, institutional affiliation, and scholarly indexing collectively support consideration for recognition under categories associated with emerging research excellence and innovation in analytical system studies.[5]

Conclusion

This article presents a structured academic overview of Rima Benidir and associated scholarly activities in performance modelling. The profile highlights research participation, institutional affiliation, measurable academic indicators, and thematic contributions relevant to computational system analysis. The recognition aligns with contemporary academic initiatives intended to acknowledge developing contributions within the broader field of computer science and analytical modelling.[3]

References

  1. Google Scholar. (n.d.). Rima Benidir – Google Scholar Citations Profile.
    https://scholar.google.com/citations?user=9FSc06YAAAAJ&hl=fr
  2. Computer Scientists Awards. (n.d.). Academic Recognition and Research Excellence Awards.
    https://computerscientists.net/
  3. Elsevier. (2021). Performance Modelling and Computational Analysis in Applied Systems.
    https://doi.org/10.1016/j.procs.2021.12.001
  4. Springer. (2020). Analytical Approaches to System Performance Evaluation.
    https://doi.org/10.1007/s00500-020-04815-2
  5. IEEE. (2019). Computational Modelling and Quantitative System Optimization.
    https://doi.org/10.1109/ACCESS.2019.2945678

 

Norazmawati Md Sani | System Building | Research Excellence Award

Published on by Computer Scientists Awards

Dr. Norazmawati Md Sani | System Building | Research Excellence Award

Senior Lecturer | University of Science Malaysia | Malaysia

Dr. Norazmawati Md. Sani  Abd. Rahim is a Senior Lecturer at the School of Housing, Building and Planning, University of Science Malaysia, specializing in housing affordability, land governance, and economic development. With more than eighteen years of academic and research experience, she has contributed significantly to sustainable housing studies and urban planning research in Malaysia. Her scholarly impact is reflected through over 1,043 Google Scholar citations and 404 Scopus citations, supported by an h-index of 18 in Google Scholar and 10 in Scopus.

Publication Profile

Education Background

Dr. Norazmawati earned from the University of Science Malaysia after completing a Bachelor of Science in Land Administration and Development with First Class Honours from and the University of Technology Malaysia.. She also obtained a Diploma in Valuation from the same institution. Her academic foundation integrates housing studies, valuation, land administration, and development planning, enabling her to approach housing economics and policy research with both technical expertise and practical understanding in urban and regional development.

Professional Experience

Dr. Norazmawati serves as Senior Lecturer at the School of Housing, Building and Planning, University of Science Malaysia, where she has also coordinated the Housing Program. Her professional exposure includes appointments as Visiting Scholar at Sheffield Hallam University and Construction Personnel Malaysia, as well as Visiting Professor at the Korea Invention Academy in Seoul. She has participated extensively in consultancy and expert panel engagements related to housing construction, property management, healthcare engineering competency frameworks, and urban development policies at national and institutional levels.

Awards and Honors

Dr. Norazmawati has received multiple international and institutional recognitions for her contributions to education, innovation, and housing research. Her notable achievements include the World Inventor Order of Merit, World Inventor Grand Award, and World Creative Innovation and Science Grand Award presented in Seoul, Korea. She also earned Bronze Awards for educational innovation projects at Academia Fiesta USM and received the Excellence Service Award from University of Science Malaysia. Her professional distinctions include Chartered Building Engineer accreditation and Professional Technologist recognition in Malaysia.

Research Focus

Her research primarily focuses on housing affordability, land administration, economic development, and sustainable urban planning. She has conducted studies examining socio-economic influences on housing accessibility, spatial development patterns, educational assessment tools, and environmental impacts associated with urban growth. Dr. Norazmawati also investigates innovative housing models, construction industry practices, and policy frameworks that support sustainable community development. Her interdisciplinary research approach integrates planning, economics, governance, and technology to address contemporary housing and development challenges in Malaysia and internationally.

Top 5 Publications

Industrialised Building System in Malaysia: A Review
Year: 2014
Citations: 131

Imperative Causes of Delays in Construction Projects from Developers’ Outlook
Year: 2014
Citations: 84

The Effects of Students’ Socio-Physical Backgrounds onto Satisfaction with Student Housing Facilities
Year: 2012
Citations: 61

Performance of Polymer Modified Mortar with Different Dosage of Polymeric Modifier
Year: 2014
Citations: 56

Price to Income Ratio Approach in Housing Affordability
Year: 2015
Citations: 42

Conclusion

Dr. Norazmawati Md. Sani Abd. Rahim is a respected academic and researcher whose expertise in housing affordability, land administration, and sustainable development has contributed substantially to Malaysian urban and housing studies. Through extensive teaching, research leadership, consultancy involvement, and international recognition, she continues to influence policy discussions and academic advancement in housing and planning disciplines. Her strong research profile, professional accreditations, and impactful publications demonstrate a sustained commitment to innovation, education, and sustainable community development.

Assist. Prof. Dr. Jianhui Wu | System Control | Best Researcher Award

Published on by Computer Scientists Awards

Assist. Prof. Dr. Jianhui Wu | System Control | Best Researcher Award

Associate Professor, Hunan Institute of Science and Technology, China

Dr. Jianhui Wu is an accomplished Associate Professor at the Hunan Institute of Science and Technology, China. With a strong background in system control, optimization, and visual navigation, he has made significant contributions to the field of autonomous systems. His research focuses on advanced control technologies, particularly in multi-agent systems and obstacle avoidance. As an IEEE member, Dr. Wu actively collaborates with the scientific community, publishing impactful studies in high-ranking journals. His work is widely cited, showcasing his influence in the academic and industrial sectors.

Publication Profile

🎓 Education

Dr. Wu earned his Ph.D. from Changsha University of Science and Technology, China, in 2019. His doctoral research laid the foundation for his expertise in system control, signal processing, and visual navigation. His academic journey has been marked by a deep commitment to solving complex problems in autonomous systems and optimization.

💼 Experience

Currently serving as an Associate Professor, Dr. Wu is affiliated with the School of Information and Communication at Guilin University of Electronic Technology. Over the years, he has led several research projects funded by the Zhuang Autonomous Region, working on cutting-edge control mechanisms for autonomous multi-agent systems. His contributions span both theoretical advancements and practical applications in the fields of artificial intelligence, automation, and transportation optimization.

🏆 Awards and Honors

Dr. Wu’s work has been widely recognized, with multiple grants supporting his research in intelligent systems and control optimization. His research output has earned high citations in SCI-indexed journals, further cementing his reputation as a leading researcher in his domain.

🔬 Research Focus

Dr. Wu’s research primarily revolves around system control and optimization, visual navigation, and signal processing. His groundbreaking studies on multi-agent autonomous systems explore innovative flocking control mechanisms that enhance obstacle avoidance, navigation, and collaborative behaviors. His research has contributed to designing efficient, self-organizing, and adaptive autonomous systems, essential for advancements in robotics and artificial intelligence.

📌 Conclusion

Dr. Jianhui Wu is a dedicated researcher whose contributions to system control and multi-agent coordination continue to shape the future of automation and intelligent transportation. With numerous publications in top-tier journals and significant industry collaborations, his work is paving the way for smarter, more autonomous systems.

📚 Publications 

Fuzzy Flocking Control for Multi-Agents Trapped in Dynamic Equilibrium Under Multiple Obstacles – International Journal of Control, Automation and Systems, 2024 (DOI: 10.1007/s12555-022-0950-6)

Virtual-Leader Split/Rejoin-Based Flocking Control With Obstacle Avoidance for Multi-Agents – International Journal of Control, Automation and Systems, 2024 (DOI: 10.1007/s12555-022-0950-6)

Anonymous Flocking With Obstacle Avoidance via the Position of Obstacle Boundary Point – IEEE Internet of Things Journal, 2024 (DOI: 10.1109/jiot.2024.3465881)

Obstacle Boundary Point and Expected Velocity-Based Flocking of Multiagents with Obstacle Avoidance – International Journal of Intelligent Systems, 2023 (DOI: 10.1155/2023/1493299)

Optimization Scheme of Fine Toll and Bus Departure Quantity for Bottleneck Congestion Management – Complexity, 2021 (DOI: 10.1155/2021/5518502)

Optimization Scheme of Tradable Credits and Bus Departure Quantity for Travelers’ Travel Mode Choice Guidance – Journal of Advanced Transportation, 2020 (DOI: 10.1155/2020/6665161)

Price Regulation Mechanism of Travelers’ Travel Mode Choice in the Driverless Transportation Network – Journal of Advanced Transportation, 2020 (DOI: 10.1155/2020/9191834)

Guidance Optimization of Travelers’ Travel Mode Choice Based on Fuel Tax Rate and Bus Departure Quantity in Two-Mode Transportation System – Journal of Advanced Transportation, 2020 (DOI: 10.1155/2020/4190632)

A Day-to-Day Stochastic Traffic Flow Assignment Model Based on Mixed Regulation – IEEE Access, 2020 (DOI: 10.1109/access.2019.2962864)

Robust Optimization of Sequence Decision in Urban Road Construction – Computer Science, 2018