Iwona Galman | Optical Sensors | Best Researcher Award

Best Researcher Award

Iwona Galman
Affiliation Department of Structural Engineering, Silesian University of Technology
Country Poland
Scopus ID 56436840100
Documents 20
Citations 98
h-index 6
Subject Area Optical Sensors
Event Global Sensor Awards
ORCID 0000-0002-0196-6478

Iwona Galman
Department of Structural Engineering, Silesian University of Technology

Iwona Galman is a researcher affiliated with the Department of Structural Engineering at the Silesian University of Technology, Poland. Her scholarly activities include research related to optical sensors and associated engineering applications. Through scientific publications, collaboration, and contributions to sensor-related research, her work supports advancements in sensing technologies used across engineering and industrial environments.[1]

Abstract

This article presents an overview of the academic profile of Iwona Galman, highlighting her institutional affiliation, research interests in optical sensors, scholarly publications, and academic contributions. The profile has been prepared in a neutral encyclopedic format suitable for academic recognition and award evaluation while emphasizing verifiable scholarly achievements through established research databases.[1]

Keywords

  • Optical Sensors
  • Structural Engineering
  • Sensor Technology
  • Engineering Research
  • Scientific Publications
  • Academic Recognition

Introduction

Optical sensing technologies play an important role in monitoring, measurement, automation, and structural assessment across modern engineering disciplines. Researchers working in this field contribute to improvements in sensor performance, reliability, and practical implementation for industrial and scientific applications. Iwona Galman’s academic activities are associated with this multidisciplinary area through research and scholarly dissemination.[1]

Research Profile

Based at the Department of Structural Engineering, Silesian University of Technology, Iwona Galman has developed a research profile connected with optical sensors and engineering applications. Her academic record is indexed within Scopus under Author ID 56436840100 and linked with an ORCID researcher identifier, enabling transparent attribution of scholarly outputs and professional activities.[1][2]

Research Contributions

  • Research involving optical sensing technologies.
  • Engineering investigations supporting structural applications.
  • Contribution to peer-reviewed scientific publications.
  • Participation in collaborative academic research.
  • Promotion of sensor-related engineering knowledge.

Publications

The research publications associated with Iwona Galman are indexed through internationally recognized bibliographic databases. Readers may consult the Scopus Author Profile for an up-to-date record of publications, citation metrics, co-authorship information, and subject classifications.[1]

Example DOI reference for scholarly publishing format:
https://doi.org/10.1016/j.sna.2020.112345.[3]

Research Impact

Research impact is commonly evaluated through publication quality, citation performance, collaborative activities, scientific visibility, and contributions to advancing knowledge within a specialist discipline. Citation databases and researcher identifiers facilitate transparent evaluation of scholarly influence and academic engagement.[1][2]

Award Suitability

Based on publicly available scholarly information, Iwona Galman’s academic profile demonstrates participation in research related to optical sensors and engineering sciences. Consideration for recognition within the Global Sensor Awards would typically depend upon established evaluation criteria including publication quality, research originality, scientific influence, innovation, collaboration, and documented contributions to the advancement of sensing technologies.[4]

Conclusion

Iwona Galman’s academic profile reflects continued engagement in engineering research associated with optical sensors. Public researcher identifiers, institutional affiliation, and indexed publications provide an accessible framework for evaluating scholarly contributions according to internationally recognized academic standards.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Iwona Galman, Author ID 56436840100. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=56436840100
  2. ORCID. (n.d.). Researcher Profile: Iwona Galman.
    https://orcid.org/0000-0002-0196-6478
  3. Example DOI reference illustrating persistent scholarly identifiers.
    https://doi.org/10.1016/j.sna.2020.112345
  4. Global Sensor Awards. (n.d.). Official Award Website.
    https://globalsensorawards.com/

Sungjoon Yoon | Optical Sensors | Research Excellence Award

Prof. Dr. Sungjoon Yoon | Optical Sensors | Research Excellence Award

Kyonggi University | South Korea

Professor Sung-Joon Yoon is a tenured Professor of Marketing and Business Administration at Kyonggi University, South Korea, with an extensive academic career spanning industry, policy research, and higher education. He holds a PhD in Marketing from Wayne State University (USA), an MBA from Purdue University, and a BA in English Language and Literature from Korea University. His research expertise covers digital marketing, consumer behavior, technology readiness, AI-based services, sustainability, tourism marketing, and platform economics. Professor Yoon has published over 30 peer-reviewed articles in leading international journals such as Sustainability, Asia Pacific Journal of Marketing and Logistics, Journal of Retailing and Consumer Services, and Technology in Society, accumulating significant international citations. He actively collaborates with scholars across Asia, Europe, and North America and serves on multiple editorial boards. His research has strong societal impact by informing sustainable consumption, digital innovation, and data-driven marketing policy and practice.

Citation Metrics (Scopus)

1500
1000
50
10
0

Citations
1,902

h-index
19

Documents
50

Citations

h-index

Documents

Dr. Liu Jun | Optical Sensors Awards | Best Researcher Award

Dr. Liu Jun | Optical Sensors Awards | Best Researcher Award

Dr. Liu Jun, Jiangsu Academy of Agricultural Sciences, China

Jun Liu received his B.Sc. degree in Automation from Nanjing Agricultural University, China, in 2007, and his M.Sc. degree in Instrument Science and Technology from Southeast University, China, in 2010. He has served as both an Assistant Professor and Associate Professor at the Institute of Agricultural Facilities and Equipment, Jiangsu Academy of Agricultural Sciences, China. His research interests primarily focus on signal processing, instrumentation, and digital agriculture, contributing to advancements in agricultural technology and equipment.

Professional Profile:

SCOPUS

Summary for Jun Liu’s Suitability for the Best Researcher Award

Jun Liu is a highly qualified researcher with a strong academic background and a significant contribution to the field of agricultural technology. He received his B.Sc. degree in automation from Nanjing Agricultural University, China, in 2007, followed by an M.Sc. degree in instrument science and technology from Southeast University, China, in 2010. Liu has held positions as both an Assistant Professor and Associate Professor at the Institute of Agricultural Facilities and Equipment, Jiangsu Academy of Agricultural Sciences, where he has focused on advancing research in signal processing, instrumentation, and digital agriculture.

Education 🎓

  • B.Sc. in Automation
    Nanjing Agricultural University, China (2007)
  • M.Sc. in Instrument Science and Technology
    Southeast University, China (2010)

Work Experience 💼

  • Assistant Professor
    Institute of Agricultural Facilities and Equipment, Jiangsu Academy of Agricultural Sciences, China
  • Associate Professor
    Institute of Agricultural Facilities and Equipment, Jiangsu Academy of Agricultural Sciences, China

Research Interests 🔍

  • Signal Processing
  • Instrumentation
  • Digital Agriculture

Achievements 🏆

  • Published multiple research papers in reputable journals
  • Developed innovative agricultural equipment and systems

Awards and Honors 🎖️

  • Recognition for contributions to digital agriculture
  • Best Paper Award at a national conference on agricultural technology

Publication Top Notes:

Design and experiment of suspended track inspection robot for facility pig farms

Research status and development trend of fruit and vegetable sorting equipment

PL-DINO: An Improved Transformer-Based Method for Plant Leaf Disease Detection

Design and Experimentation of a Tomato Harvesting System Based on Human-Like Picking Behavior

Cadmium ions mediated turn-on electrogenerated chemiluminescence of ZnS nanoparticles for highly selective cadmium detection in seafood