Md Hasibuzzaman | Control Theory | Innovative Research Award

Innovative Research Award

Researcher: Md Hasibuzzaman
Institution: National Taipei University

Md Hasibuzzaman
Affiliation National Taipei University
Country Taiwan
Scopus ID 59951150900
Documents 1
Citations 0
h-index 0
Subject Area Control Theory
Event World Superior Engineering Research Awards
ORCID 0009-0002-3326-0741

The Innovative Research Award recognizes research-oriented work that demonstrates originality, methodological rigor, and potential value to the advancement of knowledge. This article presents an academic recognition profile for Md Hasibuzzaman of National Taipei University, whose stated subject area is Control Theory. Bibliographic identifiers and profile information are presented as supplied for academic reference and should be independently verified through the relevant indexing services. [1]

Abstract

This academic recognition profile concerns Md Hasibuzzaman, affiliated with National Taipei University in Taiwan, with Control Theory identified as the principal subject area. Control theory is a multidisciplinary field concerned with the analysis, design, and implementation of systems whose behavior can be regulated through feedback, estimation, optimization, and related mathematical techniques. The profile associated with Scopus Author ID 59951150900 and ORCID 0009-0002-3326-0741 provides persistent identifiers that can support scholarly attribution and bibliographic verification. [1] [2]

Keywords

Innovative Research Award; Md Hasibuzzaman; National Taipei University; Taiwan; Control Theory; feedback control; systems engineering; mathematical modeling; research innovation; scholarly recognition.

Introduction

Control Theory provides mathematical and engineering frameworks for understanding how dynamic systems respond to inputs and how their behavior can be influenced toward desired objectives. Its applications extend across engineering, robotics, automation, aerospace, manufacturing, energy systems, transportation, and other technology-intensive domains. Modern control research commonly combines mathematical analysis with computational methods, sensing, optimization, and intelligent decision-making.

Within this context, an innovative research recognition framework can consider the originality of a research problem, methodological soundness, reproducibility, relevance to the discipline, and potential contribution to future research or practical systems. Scholarly identification through persistent researcher identifiers can further support accurate attribution across publications and academic databases. [1] [2]

Research Profile

Md Hasibuzzaman is identified in the supplied research profile as being affiliated with National Taipei University, Taiwan. The stated subject area is Control Theory. The supplied Scopus Author ID is 59951150900, while the supplied ORCID identifier is 0009-0002-3326-0741. Scopus provides author-level bibliographic information, while ORCID provides a persistent identifier intended to distinguish researchers and connect their scholarly contributions. [1] [2]

Research Contributions

Research in Control Theory may contribute through theoretical development, controller design, stability analysis, optimization, system identification, estimation, and the application of control methods to complex engineering systems. Assessment of a specific researcher’s contribution should be based on verifiable publications, documented methodologies, citation records, patents where applicable, datasets, software, and other scholarly outputs rather than on affiliation alone.

For an innovation-oriented research assessment, relevant contributions may include:

  • Development or refinement of control-theoretic models and analytical methods.
  • Design of control strategies addressing stability, robustness, performance, or uncertainty.
  • Integration of computational techniques with feedback and dynamic-system analysis.
  • Application of control principles to emerging engineering and technological challenges.
  • Production of reproducible and independently verifiable scholarly research.

Publications

The supplied information identifies a Scopus author profile but does not provide a verified publication list, document count, citation count, or h-index. These bibliometric values should therefore not be inferred. A current publication record should be reviewed directly through the researcher’s Scopus profile and other authoritative scholarly sources before publication of quantitative claims. [1]

For academic recognition, publications may be evaluated according to peer-review status, venue quality, methodological rigor, originality, relevance to Control Theory, reproducibility, research continuity, and the documented influence of the work. Where individual publications have assigned DOIs, those identifiers should be retained in bibliographic records because DOI links provide persistent access points to scholarly objects. [3]

Research Impact

Research impact in Control Theory can be considered at several levels, including advancement of theoretical understanding, improvement of engineering-system performance, development of practical algorithms, contribution to interdisciplinary research, and adoption of methods by subsequent researchers or practitioners. Citation indicators can provide one quantitative perspective, but they should be interpreted alongside publication quality, research context, authorship, field-specific citation patterns, and demonstrable technical outcomes.

For the present profile, the supplied identifiers establish a basis for locating and verifying scholarly records. They do not, by themselves, establish a particular citation count, h-index, or level of research impact. Such metrics should be retrieved from the relevant current databases at the time of formal award evaluation. [1] [2]

Award Suitability

The Innovative Research Award may be academically relevant to a researcher whose work demonstrates a clear relationship between originality, rigorous research methodology, and meaningful advancement within the stated subject area. For Md Hasibuzzaman, the supplied affiliation with National Taipei University and subject area of Control Theory provide contextual information for consideration. Formal eligibility and selection, however, should be determined according to the official rules and evaluation procedures of the World Superior Engineering Research Awards.

A transparent evaluation may consider the following criteria:

  1. Originality: The extent to which the research addresses a meaningful problem through novel ideas, methods, or applications.
  2. Scientific rigor: The quality of theoretical reasoning, experimental design, computational validation, and interpretation.
  3. Technical relevance: The relationship of the work to Control Theory and associated engineering disciplines.
  4. Scholarly output: The quality and verifiability of publications and other research outputs.
  5. Research influence: Demonstrable scholarly, technological, or practical influence supported by appropriate evidence.
  6. Research integrity: Clear attribution, accurate reporting, responsible research practices, and transparent documentation.

Conclusion

Md Hasibuzzaman is presented in the supplied information as a researcher affiliated with National Taipei University, Taiwan, with Control Theory identified as the relevant subject area. The Scopus and ORCID identifiers provide useful mechanisms for locating and distinguishing scholarly records. [1] [2] The Innovative Research Award can be assessed through evidence-based criteria emphasizing originality, methodological rigor, scholarly contribution, and verifiable research impact. Quantitative bibliometric claims should be confirmed from current authoritative sources before formal recognition or publication.

References

  1. Elsevier. (n.d.). Scopus author details: Md Hasibuzzaman, Author ID 59951150900. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59951150900
  2. ORCID. (n.d.). ORCID record: 0009-0002-3326-0741. ORCID.
    https://orcid.org/0009-0002-3326-0741
  3. International DOI Foundation. (n.d.). DOI Handbook. International DOI Foundation.
    https://doi.org/10.1000/182

Dr. Xiuyun Zhang | Control Systems Engineering | Best Researcher Award

Dr. Xiuyun Zhang | Control Systems Engineering | Best Researcher Award

Dr. Xiuyun Zhang | Tianjin University of Technology and Education | China

Dr. Xiuyun Zhang is a lecturer and researcher specializing in motor systems and their control, with a particular emphasis on multi-motor collaborative control. Her teaching covers theoretical foundations such as circuit principles and automatic control principles, while her research explores torque coordination in large-load drives, speed coordination in industrial applications, and position coordination and contour control in high-precision CNC machining. She has published over 20 SCI/EI indexed papers and more than 10 journal publications, with a record of 972 citations from 914 documents, 94 published works, and an h-index of 16. Her innovative contributions are reflected in 16 granted or filed patents, including invention and utility model patents. As a project leader, she has directed research supported by the Tianjin Natural Science Foundation Youth Project, the Tianjin Higher Education Science and Technology Development Fund, an invention patent conversion initiative, and several horizontal projects, while also contributing as a main researcher to a National Natural Science Foundation general project. With more than five completed or ongoing research projects, her work focuses on developing predictive and interactive control strategies that use speed and current as internal system variables, aiming to improve collaborative control accuracy and dynamic response in advanced motor applications.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

  • Zhang, R., Zong, Q., Zhang, X., Dou, L., & Tian, B. (2022). Game of drones: Multi-UAV pursuit-evasion game with online motion planning by deep reinforcement learning. IEEE Transactions on Neural Networks and Learning Systems, 34(10), 7900–7909.

  • Wang, D., Zong, Q., Tian, B., Shao, S., Zhang, X., & Zhao, X. (2018). Neural network disturbance observer-based distributed finite-time formation tracking control for multiple unmanned helicopters. ISA Transactions, 73, 208–226.

  • Dou, L., Cai, S., Zhang, X., Su, X., & Zhang, R. (2022). Event-triggered-based adaptive dynamic programming for distributed formation control of multi-UAV. Journal of the Franklin Institute, 359(8), 3671–3691.

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  • Ye, L., Zong, Q., Tian, B., Zhang, X., & Wang, F. (2017). Control-oriented modeling and adaptive backstepping control for a nonminimum phase hypersonic vehicle. ISA Transactions, 70, 161–172.

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