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

Posted on by Global Sensor Awards

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/

Mr. Xueye Chen | Flexible Sensing Awards | Best Researcher Award

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Mr. Xueye Chen | Flexible Sensing Awards | Best Researcher Award 

Mr. Xueye Chen, ludong university, China

Chen Guorong is a Ph.D. professor and Master’s supervisor, currently serving as the Associate Dean of the School of Computer Science and Engineering (School of Artificial Intelligence) at Chongqing University of Science and Technology. Recognized as a Chongqing Leading Talent in Technological Innovation and a Chongqing Academic and Technical Leader, he has made significant contributions to the fields of artificial intelligence and safety production informatization. He has held esteemed academic roles, including Vice Chair of the IEEE Geoscience and Remote Sensing Society (GRSS) Chongqing Chapter and General Chair of the IEEE International Conference on Industrial Cyber-Physical Systems and Intelligent Manufacturing (IICSPI) 2025. With a research portfolio encompassing over 20 provincial and ministerial-level projects, 40+ SCI-indexed publications, and 10 authorized patents, he has been honored with nine provincial/ministerial scientific awards. As a visiting scholar at the University of Ottawa, Canada, Chen has fostered international academic collaboration. His pioneering work in smart emergency response and safety production has driven industry-academia partnerships, influencing technological innovation and contributing significantly to global research and societal advancements.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award 

Dr. Chen Guorong is a highly accomplished researcher with a strong background in Artificial Intelligence and Safety Production Informatization. His extensive leadership roles, research achievements, and contributions to technological innovation make him an outstanding candidate for the Best Researcher Award.

🎓 Education & Work Experience

  • Ph.D., Professor, and Master’s Supervisor at Chongqing University of Science and Technology.

  • Associate Dean of the School of Computer Science and Engineering (School of Artificial Intelligence).

  • Visiting Scholar at the University of Ottawa, Canada.

🏆 Awards & Honors

  • Chongqing Leading Talent in Technological Innovation.

  • Recognized as a Chongqing Academic and Technical Leader.

🔬 Research & Achievements

  • Research Interests: Artificial Intelligence & Safety Production Informatization.

  • Led 20+ provincial/ministerial-level research projects.

  • Published 40+ SCI-indexed papers.

  • Holds 10 authorized patents.

  • Recipient of 9 provincial/ministerial-level scientific awards.

  • Pioneered industry-academia collaboration in smart emergency response and safety production, contributing to global innovation.

🌍 Academic & Professional Engagements

  • Vice Chair of IEEE GRSS Chongqing Chapter.

  • Head of Technology & Informatization Group, Chongqing Emergency Management Expert Committee.

  • Vice Chairman of Chongqing Petroleum and Gas Society.

  • General Chair of IEEE IICSPI 2025.

Publication Top Notes:

Fabrication and energy collection of PDMS/dimethylsilicone oil superhydrophobic high tensile film

Porous Carbon Nanoparticle Composite Paper Fiber with Laser-Induced Graphene Surface Microstructure for Pressure Sensing

A pressure sensor made of laser-induced graphene@carbon ink in a waste sponge substrate using novel and simple fabricaing process for health monitoring

Numerical simulation and performance study of three-dimensional variable angle baffle micromixer

A novel dual-mode paper fiber sensor based on laser-induced graphene and porous salt-ion for monitoring humidity and pressure of human

Machine learning and genetic algorithm as tools for single and multi-objective shape optimization of micromixers with Cantor fractal structure

A novel micromixer based on coastal fractal for manufacturing controllable size liposome

Prof. Junhao Li | Sensors Design | Best Innovation Award

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Prof. Junhao Li | Sensors Design | Best Innovation Award

Prof. Junhao Li, Xi’an Jiaotong University, China

Junhao Li is a Full Professor at Xi’an Jiaotong University, where he is actively engaged in teaching and research in the field of electrical engineering. His research primarily focuses on two key areas: fault diagnosis of power equipment, including power transformers and gas-insulated switchgear (GIS), and on-site testing for power equipment, particularly impulse testing for GIS and transformers. His work on partial discharge (PD) research explores PD characteristics under various voltage waveforms, employing optical, UHF, and acoustic measurement techniques along with PD pattern recognition. Additionally, his studies on impulse testing address waveform adjustments, distortion effects, equipment protection methods, and insulation breakdown mechanisms in SF₆ gas and oil-paper insulation.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Innovation Award conclusion

Junhao Li is a highly accomplished researcher in the field of electrical engineering, particularly in power equipment fault diagnosis, partial discharge (PD) measurement, and onsite testing for power equipment. His contributions to PD detection techniques, integration of optical and UHF methods, and advancements in impulse testing are innovative and impactful.

Education 🎓:

  • Specific details about Professor Li’s educational background are not provided in the available information.

Work Experience 🏫:

  • Full Professor at Xi’an Jiaotong University: Engaged in teaching and research in electrical engineering, focusing on fault diagnosis of power equipment and on-site testing for power equipment.

Achievements and Honors 🏆:

  • Research Contributions: Specializes in partial discharge research, examining characteristics under various voltage waveforms, and developing measurement and pattern recognition methods.
  • On-Site Testing Innovations: Focuses on on-site impulse testing for GIS and power transformers, including waveform adjustment methods and equipment protection strategies.
  • Professional Recognitions:
    • Fellow of the Institution of Engineering and Technology (IET)
    • Senior Member of the Institute of Electrical and Electronics Engineers (IEEE)
    • Editorial Board Member of the Chinese journal “High Voltage Apparatus”
    • Member of the CIGRE D1 China Committee
    • Member of CIGRE Working Groups D1.66 and B3.50
    • Member of IEC TC 17 / SC 17C AHG41
    • Executive Member of the IEEE PES Smart Grid and New Technology Committee (China)
    • Associate Editor of IEEE Transactions on Dielectrics and Electrical Insulation

Professor Li has published numerous papers in IEEE Transactions focusing on transformers and liquid insulation. He is committed to enhancing the relationship between international electrical insulation publications and China, aiming to expand their influence and contribute to their success.

Publication Top Notes:

Review on partial discharge measurement technology of electrical equipment

CITED:182

Digital detection, grouping and classification of partial discharge signals at DC voltage

CITED:144

A novel GIS partial discharge detection sensor with integrated optical and UHF methods

CITED:143

Partial discharge characteristics over differently aged oil/pressboard interfaces

CITED:85

A novel PD detection technique for use in GIS based on a combination of UHF and optical sensors

CITED:79

Investigation of a comprehensive identification method used in acoustic detection system for GIS

CITED:77

 

 

 

 

 

Dr. Akito Higatani | Intelligent Sensors | Best Researcher Award

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Dr. Akito Higatani | Intelligent Sensors | Best Researcher Award

Dr. Akito Higatani, Hanshin Expressway Co., Ltd., Japan

Akito Higatani is an accomplished professional in traffic engineering, currently serving as Assistant Manager in the Planning Department at Hanshin Expressway Co., Ltd. With a career spanning 18 years, he has made significant contributions to the field through his research and practical insights into traffic management and efficiency. Dr. Higatani’s academic journey began at Kyoto University, Japan, where he earned his Bachelor’s degree in Engineering from the Undergraduate School of Global Engineering, specializing in Transportation Engineering and Management. He continued his studies at Kyoto University, obtaining a Master’s degree in Urban Management, focusing on traffic efficiency in urban expressways. His doctoral studies also at Kyoto University culminated in a Doctor of Engineering degree, where his research focused on planning patrolling schedules in urban expressway networks considering traffic incidents and network performance fluctuations. Dr. Higatani has contributed extensively to the field through peer-reviewed papers and presentations at international conferences. His research, such as studying traffic volume fluctuations and travel time reliability measures in the Hanshin Expressway Network, has been instrumental in advancing understanding and strategies in traffic engineering.

 

Professional Profile:

SCOPUS

 

Education:

Akito Higatani pursued his academic journey at Kyoto University, Japan, specializing in Transportation Engineering and Management.

  • Bachelor of Engineering (Undergraduate School of Global Engineering, April 2000 – March 2004): Akito completed his undergraduate studies with a focus on Transportation Engineering and Management. His graduation thesis investigated traffic flow observation using image data.
  • Master of Engineering (Department of Urban Management, April 2004 – March 2006): Continuing his studies at Kyoto University, Akito delved deeper into urban traffic management, particularly focusing on traffic efficiency at merging sections of urban expressways using image data.
  • Doctor of Engineering (Department of Urban Management, April 2012 – March 2015): Akito pursued his doctoral studies, specializing in planning patrolling schedules within urban expressway networks. His dissertation focused on optimizing schedules considering traffic incidents and network performance fluctuations.

Work Experience:

Akito Higatani has accumulated extensive experience in traffic engineering and management, primarily at Hanshin Expressway Co., Ltd.

  • Assistant Manager, Planning Department: Akito has been serving as an Assistant Manager since joining Hanshin Expressway in April 2006. His role involves strategic planning within the Planning Department, focusing on optimizing traffic flow and efficiency across the expressway network.

Academic Achievements:

Akito Higatani has contributed significantly to the field of traffic engineering through peer-reviewed publications and conference presentations:

 

Publication top Notes:

Assessing the Impacts of Autonomous Vehicles on Road Congestion Using Microsimulation

An investigation into the appropriateness of car-following models in assessing autonomous vehicles

Driving simulator experiment on speed reduction during earthquake on an urban expressway

A study of traffic volume fluctuation considering traffic incidents in hanshin expressway network

Slippage test of frictional high strength bolted joints with adhesives for corroded damaged steel members