Hamideh Rabiei | Smart Sensors and Sensor Fusion | Innovative Research Award

Innovative Research Award

Hamideh Rabiei
Affiliation Iran University of Science and Technology
Country Iran
Scopus ID 59412709500
Documents 2
Citations 3
h-index 1
Subject Area Smart Sensors and Sensor Fusion
Event Global Sensor Awards
ORCID 0009-0001-5685-7631

Hamideh Rabiei

Hamideh Rabiei is affiliated with the Iran University of Science and Technology, Iran, where her academic activities contribute to research in smart sensing technologies, sensor integration, and multidisciplinary engineering applications. Her scholarly profile reflects emerging research activity within the field of Smart Sensors and Sensor Fusion, supported by publications indexed in Scopus and an ORCID researcher identifier.[1][2]

Abstract

This article summarizes the academic profile of Hamideh Rabiei in relation to recognition under the Innovative Research Award category. The profile highlights research interests in Smart Sensors and Sensor Fusion, publication activity indexed through Scopus, and researcher identification through ORCID. The article adopts a neutral encyclopedic style suitable for academic recognition while emphasizing documented scholarly achievements and research visibility.[1][2]

Keywords

  • Smart Sensors
  • Sensor Fusion
  • Engineering Research
  • Scientific Publications
  • Innovation
  • Global Sensor Awards

Introduction

Smart sensing technologies have become fundamental components of modern engineering, industrial automation, healthcare monitoring, intelligent transportation, and environmental observation. Research involving sensor fusion further enhances system reliability by combining information from multiple sensing sources to improve decision-making and operational accuracy.[3]

Within this research landscape, Hamideh Rabiei contributes to scholarly activities associated with sensor technologies and interdisciplinary engineering. Academic recognition programs such as the Global Sensor Awards acknowledge researchers whose work supports scientific advancement and innovation within sensing technologies.[4]

Research Profile

The available scholarly profile identifies Hamideh Rabiei as a researcher affiliated with the Iran University of Science and Technology. According to indexed academic records, the profile includes two Scopus-indexed documents, three citations, and an h-index of one. These metrics provide a quantitative overview of research visibility while representing only one aspect of academic performance.[1]

  • Affiliation with Iran University of Science and Technology.
  • Research specialization in Smart Sensors and Sensor Fusion.
  • Scopus Author ID: 59412709500.
  • ORCID researcher identifier for persistent academic identification.

Research Contributions

Research in Smart Sensors and Sensor Fusion supports improvements in measurement precision, autonomous systems, industrial monitoring, intelligent manufacturing, robotics, and digital transformation. Contributions within this discipline commonly focus on sensor integration, data interpretation, signal processing, and enhanced reliability across complex environments.[3]

  • Investigation of smart sensing technologies.
  • Research involving sensor fusion methodologies.
  • Support for interdisciplinary engineering applications.
  • Contribution to scientific publication and knowledge dissemination.

Publications

The available Scopus profile reports two indexed scholarly documents. Publication records provide evidence of peer-reviewed academic activity and contribute to research visibility within the international scientific community.[1]

  • Scopus-indexed publications.
  • Citation record available through Scopus Author Profile.
  • Research outputs associated with engineering and sensing technologies.

Research Impact

Research impact can be assessed through publications, citations, scholarly collaboration, and contributions to technological innovation. While citation indicators remain modest for an early-stage publication record, indexed outputs establish a foundation for future scientific influence and interdisciplinary collaboration.[1]

Award Suitability

Based on the available academic profile, Hamideh Rabiei demonstrates qualifications relevant to consideration within the Innovative Research Award category through documented research activity in Smart Sensors and Sensor Fusion, verified researcher identifiers, and peer-reviewed scholarly publications. Final award evaluations typically consider research quality, originality, innovation, scientific significance, publication record, and broader contributions according to the official assessment criteria established by the organizing body.[4]

Conclusion

The academic profile of Hamideh Rabiei reflects participation in research related to Smart Sensors and Sensor Fusion together with internationally recognized researcher identifiers and indexed scholarly publications. The profile provides an objective overview suitable for academic recognition while emphasizing verifiable scholarly information obtained from established research databases and professional researcher profiles.[1][2]

References

  1. Elsevier. (n.d.). Scopus author details: Hamideh Rabiei, Author ID 59412709500. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59412709500
  2. ORCID. (n.d.). Researcher Profile: Hamideh Rabiei.
    https://orcid.org/0009-0001-5685-7631
  3. Hall, D. L., & Llinas, J. (1997). An Introduction to Multisensor Data Fusion.
    DOI: https://doi.org/10.1109/5.771073
  4. Global Sensor Awards. (n.d.). Official Award Information.
    https://globalsensorawards.com/

Assist Prof Dr. Qinghua Yang | Sensor Fusion Award | Best Researcher Award

Assist Prof Dr. Qinghua Yang | Sensor Fusion Award | Best Researcher Award

Assist Prof Dr. Qinghua Yang, Shanghai university, China

Yang Qinghua, born in August 1980, is currently a Special Associate Researcher at Shanghai University’s School of Mechanical Engineering. He holds a Ph.D. from the School of Automation Science and Electrical Engineering at Beihang University (2008-2012), a Master’s degree from Shandong University of Technology in Computer Science (2005-2008), and a Bachelor’s degree from the College of Engineering and Technology at the same institution (2003-2005). His research areas include integrated avionics testing for civil aircraft, indoor positioning sensors, and the development of aircraft bus signal simulators. He has led and participated in numerous high-profile research projects, including collaborations with China Commercial Aircraft Co., LTD., and the Ministry of Industry and Information Technology. Notable projects include the development of PACU simulators, high-frequency communication failure mechanisms, and aircraft hydraulic energy system testing.

Professional Profile:

Summary of Suitability:

Qinghua Yang’s research covers critical technological advancements in sensing systems, avionics, and autonomous control, making him a well-rounded and highly deserving candidate for the Best Researcher Award. His multidisciplinary expertise, innovative methods, and leadership in both academic and applied research projects underline his exceptional contributions to science and engineering.

Education Experience:

  • Ph.D. in Automation Science and Electrical Engineering, Beihang University (2008.9 – 2012.6)
  • Master’s Degree in Computer Science, Shandong University of Technology (2005.9 – 2008.7)
  • Bachelor’s Degree in Engineering and Technology, Shandong University of Technology (2003.9 – 2005.7)

Work Experience:

  • Special Associate Researcher at Shanghai University, School of Mechanical Engineering
    • Focus areas:
      1. Integrated avionics integrated test for civil aircraft
      2. Indoor positioning sensors
      3. Research and development of aircraft bus signal and corresponding ground reception signal simulator

Publication top Notes:

A Novel Method and System Implementation for Precise Estimation of Single-Axis Rotational Angles

Optimization of PMSM for EV based on Vibration and Noise Suppression

Multi-Scale Indoor Scene Geometry Modeling Algorithm Based on Segmentation Results

Movable Surface Rotation Angle Measurement System Using IMU

An improved torque sensorless speed control method for electric assisted bicycle with consideration of coordinate conversion

Autonomous Trajectory Tracking Control for a Large‐Scale Unmanned Helicopter under Airflow Influence