Binz Aaziz | Data Acquisition | Best Innovation Award

Posted on by Global Sensor Awards

Best Innovation Award

Binz Aaziz — United Arab Emirates University

Binz Aaziz
Affiliation United Arab Emirates University
Country United Arab Emirates
Scopus ID 60872365000
Subject Area Data Acquisition
Event Global Sensor Awards
ORCID 0009-0007-2689-5358

Binz Aaziz is a researcher affiliated with United Arab Emirates University whose stated subject area is Data Acquisition. Data acquisition represents an important component of sensing and measurement systems because it provides the pathway through which signals obtained from sensors and other measurement devices can be digitized, stored, processed, transmitted, and analyzed. Contemporary data acquisition architectures may integrate sensors, signal-conditioning components, analog-to-digital conversion, processing units, storage, communication interfaces, and software platforms into a coordinated measurement workflow.[1]

Abstract

This academic recognition profile presents Binz Aaziz, affiliated with United Arab Emirates University, in connection with the Best Innovation Award under the Global Sensor Awards. The research subject identified for the profile is Data Acquisition, a field concerned with the systematic capture and conversion of physical or electronic signals into information suitable for processing and analysis. Data acquisition technologies support a broad range of sensing applications, including monitoring, instrumentation, measurement, automation, and intelligent systems. Modern approaches increasingly emphasize real-time acquisition, reliable signal processing, scalable architectures, remote communication, and integration with computational platforms.[1][2]

Keywords

Data Acquisition, Sensor Technology, Sensing Systems, Measurement Systems, Signal Processing, Sensor Interfaces, Real-Time Monitoring, Digital Data Acquisition, Instrumentation, Sensor Innovation, Global Sensor Awards.

Introduction

Data acquisition is a foundational function within contemporary sensing and measurement systems. A typical data acquisition chain converts information generated by sensors or transducers into a digital representation that can subsequently be processed, stored, communicated, or interpreted. Depending on the application, the architecture can incorporate sensing elements, analog front-end circuits, analog-to-digital converters, microcontrollers or field-programmable devices, communication modules, storage, and analytical software.[1]

Research and development in this area address challenges including acquisition accuracy, sampling performance, signal integrity, synchronization, data storage, processing latency, communication reliability, and system scalability. Published research demonstrates that data acquisition platforms can be designed for applications ranging from multichannel measurement and remote monitoring to real-time sensing and specialized instrumentation.[2][3]

Within sensor technology, innovation in data acquisition can therefore be considered in terms of how effectively a system connects physical measurement with digital processing. This connection is particularly relevant to emerging sensor networks and monitoring platforms, where reliable acquisition and structured data handling are necessary for subsequent analytics and decision-support processes.[4]

Research Profile

Binz Aaziz is identified in the supplied academic profile as being affiliated with United Arab Emirates University in the United Arab Emirates. The listed research subject area is Data Acquisition, placing the profile within the broader fields of sensing technology, instrumentation, measurement, and digital signal handling. The supplied researcher identifiers include Scopus Author ID 60872365000 and ORCID 0009-0007-2689-5358.

The profile is presented in the context of the Global Sensor Awards and the Best Innovation Award. Because publication counts, citation counts, h-index information, and a specific publication list were not supplied, those metrics are not inferred or assigned in this article. The absence of those values does not constitute a conclusion about the researcher’s scholarly record.

Research Contributions

The stated subject area of Data Acquisition is closely associated with the development and operation of systems that transform measurements into usable digital information. Relevant technical areas include:

  • Acquisition of analog and digital signals from sensors and measurement devices.
  • Signal conditioning and analog-to-digital conversion for subsequent computational processing.
  • Multichannel and real-time data acquisition architectures for measurement and monitoring applications.
  • Data storage, communication, visualization, and integration with analytical platforms.
  • Development of acquisition architectures that can support sensor-based monitoring and automation.

Published technical literature illustrates the continuing development of data acquisition systems toward greater integration, real-time processing, remote communication, and application-specific instrumentation. For example, research on FPGA-based acquisition has examined multichannel signal acquisition, processing, storage, and remote monitoring, while more recent work has investigated integrated real-time acquisition architectures for sensor-intensive applications.[2][3]

Publications

No specific publication titles authored by Binz Aaziz were supplied for this profile. Accordingly, this section does not attribute external publications to the researcher. The following literature is included only as contextual scholarly material relevant to the stated Data Acquisition subject area.

  1. Rajasekaran, C., Jeyabharath, R., & Veena, P. (2017). FPGA SoC Based Multichannel Data Acquisition System with Network Control Module. Circuits and Systems, 8, 53–75. DOI: 10.4236/cs.2017.82004.
  2. Perra, N., Giusto, D., & Anedda, M. (2026). A Survey of Modern Data Acquisition and Analysis Systems for Environmental Risk Monitoring in Aquatic Ecosystems. Sensors, 26(5), 1566. DOI: 10.3390/s26051566.
  3. Xu, X., Xia, T., Ma, Z., Huston, D., et al. (2019). Integrated synchronous data acquisition subsystem for high-speed GPR system. IET Circuits, Devices & Systems. DOI: 10.1049/IET-CDS.2018.5113.

Research Impact

Data acquisition research has relevance across scientific instrumentation, industrial monitoring, environmental sensing, structural monitoring, automation, and other sensor-enabled applications. Reliable acquisition is an enabling stage between physical sensing and higher-level analysis, making acquisition architecture an important consideration in systems that depend on timely and accurate measurement data.[2][4]

The broader research literature also shows a movement toward integrated acquisition and analysis pipelines. Contemporary systems may combine sensing hardware with processing, communications, storage, visualization, and analytical capabilities, supporting applications in which measurements need to be captured and interpreted with limited delay.[4]

For the present recognition profile, the supplied affiliation, subject area, researcher identifiers, and award context establish the basic academic framework. Quantitative impact indicators such as citation counts and h-index are intentionally not stated because corresponding values were not provided.

Award Suitability

The Best Innovation Award profile is associated with Binz Aaziz and the research subject Data Acquisition. The subject is directly connected to sensing technology because acquisition systems provide the technical interface through which sensor-generated signals can be captured, digitized, processed, stored, and communicated.

In evaluating work within this field, relevant academic and technical considerations may include the originality of the acquisition architecture, methodological rigor, measurement reliability, processing capability, integration with sensing systems, practical applicability, reproducibility, and documented research contribution. These considerations provide a structured basis for examining innovation while allowing the underlying evidence and research outputs to remain the primary basis of assessment.

The available profile information supports an academic recognition page centered on Data Acquisition and its relationship to sensing technology. A complete assessment of individual research achievements would additionally require verified publication records, documented research outputs, and other supporting evidence.

Conclusion

Binz Aaziz is presented in this academic recognition profile as a researcher affiliated with United Arab Emirates University, with Data Acquisition identified as the subject area and the Global Sensor Awards identified as the associated event. Data acquisition is a significant enabling component of modern sensing systems, connecting measurement devices with digital processing, storage, communication, and analytical workflows.

The Best Innovation Award profile therefore provides a structured academic presentation of the supplied researcher information while avoiding unsupported publication metrics or claims. Further evaluation of research achievements can be undertaken using verified scholarly publications, identifiers, documented innovations, and other appropriate academic evidence.

References

    1. Rajasekaran, C., Jeyabharath, R., & Veena, P. (2017). FPGA SoC Based Multichannel Data Acquisition System with Network Control Module. Circuits and Systems, 8, 53–75.
      https://doi.org/10.4236/cs.2017.82004
    2. Perra, N., Giusto, D., & Anedda, M. (2026). A Survey of Modern Data Acquisition and Analysis Systems for Environmental Risk Monitoring in Aquatic Ecosystems. Sensors, 26(5), 1566.
      https://doi.org/10.3390/s26051566
    3. Xu, X., Xia, T., Ma, Z., Huston, D., et al. (2019). Integrated synchronous data acquisition subsystem for high-speed GPR system. IET Circuits, Devices & Systems.
      https://doi.org/10.1049/IET-CDS.2018.5113
    4. IEEE. (2023). Simulation of Data Acquisition System Using SimulIDE, Virtual Serial Port and Python. 2023 9th International Conference on Education and Technology.
      https://doi.org/10.1109/ICET59790.2023.10435244
    5. Elsevier. (n.d.). Scopus Author Profile: BINZ AAZIZ, Author ID 60872365000. Scopus.
      https://www.scopus.com/authid/detail.uri?authorId=60872365000

Ulrike Jahn | Data Acquisition | Best Review Paper Award

Posted on by Global Sensor Awards

Best Review Paper Award

Ulrike Jahn
Affiliation Fraunhofer Centre for Silicon Photovoltaics (CSP)
Country Germany
Scopus ID 7006580560
Documents 9
Citations 375
h-index 6
Subject Area Renewable Energy, Solar Power Systems, Reliability Engineering, Data Acquisition
Event Global Sensor Awards
ORCID 0000-0003-3318-8882

Ulrike Jahn is a German photovoltaic scientist and renewable energy expert whose career spans more than three decades of research, testing, quality assurance, and international leadership in photovoltaic systems. Her work has contributed substantially to the reliability assessment, performance evaluation, and quality management of photovoltaic modules and power plants operating under diverse climatic conditions. Through leadership roles at Fraunhofer CSP, VDE Renewables, TÜV Rheinland, ZAE Bayern, and the Institute for Solar Energy Research Hamelin (ISFH), she has helped shape international standards and best practices for photovoltaic deployment and system reliability.[1]

Abstract

Ulrike Jahn has established a distinguished career in photovoltaic research, reliability engineering, and renewable energy system evaluation. Her scientific activities have focused on improving the performance, durability, and quality assurance of photovoltaic modules and utility-scale solar power plants. She has contributed to international research initiatives, standardization efforts, technical project assessments, and scientific advisory activities that support the global transition toward sustainable energy systems. Her leadership within the International Energy Agency Photovoltaic Power Systems Programme (IEA PVPS) has played a notable role in advancing reliability methodologies and performance benchmarking for photovoltaic technologies worldwide.[1][2]

Keywords

Photovoltaics, Solar Energy Systems, Renewable Energy, Reliability Engineering, Photovoltaic Module Testing, PV Power Plants, Quality Assurance, Energy Sustainability, Solar Performance Assessment, International Energy Agency.

Introduction

The expansion of photovoltaic technology has created increasing demand for reliable methods of assessing system performance, durability, and economic viability. Researchers who bridge scientific investigation with practical deployment play a vital role in ensuring long-term success of renewable energy investments. Ulrike Jahn is widely recognized within the photovoltaic community for her contributions to module characterization, quality assurance, and field performance analysis. Her work spans laboratory testing, power plant evaluation, international collaboration, and technical advisory activities that support evidence-based decision making across the solar energy sector.[1]

Research Profile

Jahn earned a Diploma in Physics from the University of Freiburg and subsequently completed advanced studies in renewable energy at the Carl-von-Ossietzky University of Oldenburg. Her academic projects focused on photovoltaic silicon cell characterization and photovoltaic pumping systems in developing countries, establishing an early foundation in solar technology research. Throughout her career she has held scientific and managerial positions at leading German research institutions and industrial organizations, including ISFH, ZAE Bayern, TÜV Rheinland, VDE Renewables, and Fraunhofer CSP.[1]

Her expertise encompasses photovoltaic module reliability, climatic performance assessment, quality assurance protocols, system monitoring, and economic evaluation of solar power installations. These areas have positioned her as an influential contributor to both research and industry-oriented photovoltaic development.[2]

Research Contributions

A defining aspect of Jahn’s career has been her sustained focus on photovoltaic reliability and performance evaluation. She has supported the development of methodologies for identifying degradation mechanisms, assessing long-term operational behavior, and establishing quality assurance frameworks for photovoltaic installations. These efforts contribute directly to increasing confidence among investors, utilities, manufacturers, and policymakers.[1]

As Task Manager of IEA PVPS Task 13 since 2010, she has coordinated international activities dedicated to reliability and performance of photovoltaic systems. Through collaborative research involving experts from multiple countries, Task 13 has produced influential technical reports, recommendations, and benchmarking studies that support global photovoltaic deployment strategies.[2]

  • Reliability and quality assurance of photovoltaic modules and systems.
  • Performance evaluation of photovoltaic installations in varied climatic conditions.
  • Technical and economic assessment of utility-scale photovoltaic power plants.
  • International standardization and expert evaluation activities.
  • Leadership in photovoltaic reliability research networks and scientific committees.

Publications

Ulrike Jahn has contributed to numerous scientific publications, conference proceedings, technical reports, and international collaborative studies addressing photovoltaic system performance and reliability. Her publication record reflects sustained engagement with photovoltaic engineering, renewable energy applications, and system quality assessment. Her scholarly outputs are indexed through Scopus and other international research databases.[1]

  • Photovoltaic system reliability studies.
  • PV module characterization and testing methodologies.
  • Solar power plant performance monitoring.
  • International photovoltaic benchmarking reports.
  • Renewable energy deployment and quality assurance frameworks.

Example DOI resource related to photovoltaic reliability research:
https://doi.org/10.1002/pip.3460

Research Impact

The impact of Jahn’s work extends beyond academic research into industry implementation, international policy discussions, and technology validation programs. Her contributions have supported improved photovoltaic project bankability, enhanced reliability assessment procedures, and strengthened quality management practices across the renewable energy sector. Through committee memberships and advisory roles, she has influenced technical standards and research priorities affecting photovoltaic deployment globally.[1][2]

Recognition of her achievements includes the prestigious European Becquerel Prize awarded in 2021 for outstanding merits in photovoltaics. This distinction reflects her long-term influence on photovoltaic science, technology advancement, and international collaboration.[3]

Award Suitability

Ulrike Jahn demonstrates a combination of scientific excellence, international leadership, technical expertise, and long-term service to the photovoltaic community. Her sustained contributions to photovoltaic reliability research, quality assurance, and international collaboration align closely with the objectives of distinguished achievement and lifetime contribution awards in renewable energy and solar technology. Her leadership within IEA PVPS Task 13, participation in major scientific conferences, advisory responsibilities, and recognized excellence through international awards collectively support strong suitability for high-level professional recognition.[1][3]

Conclusion

Ulrike Jahn’s career reflects a sustained commitment to advancing photovoltaic science, reliability engineering, and renewable energy deployment. Her multidisciplinary expertise, extensive institutional experience, international leadership, and recognized scientific contributions have made her an influential figure in the global photovoltaic community. Through research, technical evaluation, standardization activities, and collaborative leadership, she has contributed significantly to improving the performance and reliability of solar energy systems worldwide.[1][2]

References

  1. Professional Curriculum Vitae of Ulrike Jahn. Academic and professional background, research fields, awards, memberships, and scientific activities. Updated April 2026.
  2. International Energy Agency Photovoltaic Power Systems Programme (IEA PVPS). Reliability and Performance of Photovoltaic Systems (Task 13). International collaborative activities related to photovoltaic system performance and reliability.
  3. European Commission. European Becquerel Prize for Outstanding Merits in Photovoltaics (2021). Recognition of distinguished contributions to photovoltaic science and technology.
  4. Elsevier. (n.d.). Scopus author details: Ulrike Jahn, Author ID 7006580560. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=7006580560

Dr. Li Qin | Monitoring Award | Best Researcher Award

Posted on by Global Sensor Awards

Dr. Li Qin | Monitoring Award | Best Researcher Award 

Dr. Li Qin, Zhejiang Ocean University, China

Dr. Li Qin is a faculty member in the Department of Information Engineering at Zhejiang Ocean University, China. He earned his Ph.D. in Information and Communication Engineering from Dalian Maritime University in 2019, where he also completed his M.S. and B.S. degrees. He was a visiting Ph.D. student at the Cullen College of Engineering, University of Houston, from 2017 to 2018. Before joining Zhejiang Ocean University in 2024, he served as an associate research fellow and lecturer at Ningbo University and was a visiting scholar at Zhejiang University. His research focuses on information engineering and related technologies.

Professional Profile:

ORCID

Suitability of Li Qin, Ph.D., for the Best Researcher Award

Dr. Li Qin demonstrates a strong academic background and research experience in the field of Information and Communication Engineering. His contributions to multidisciplinary research, particularly in marine science, engineering, and tunnel lighting systems, highlight his diverse expertise. Below is an evaluation based on key award criteria:

📚 Education

🎓 Ph.D. in Information and Communication Engineering (Mar. 2015 – Jan. 2019)
🔹 Dalian Maritime University, China

🎓 Visiting Ph.D. Researcher (Sept. 2017 – Sept. 2018)
🔹 Cullen College of Engineering, University of Houston, TX, USA

🎓 M.S. in Electronic Science and Technology (Sept. 2013 – Mar. 2015)
🔹 Dalian Maritime University, China

🎓 B.S. in Electronic Information Science and Technology (Sept. 2009 – July 2013)
🔹 Dalian Maritime University, China

🏢 Professional Experience

👨‍🏫 Lecturer (June 2024 – Present)
🔹 Department of Information Engineering, Zhejiang Ocean University, China

🧑‍🔬 Associate Research Fellow (Dec. 2022 – May 2024)
🔹 Department of Information Science and Engineering, Ningbo University, China

🎓 Visiting Scholar (Sept. 2022 – Sept. 2023)
🔹 Ocean College, Zhejiang University, China

👨‍🏫 Lecturer (Jan. 2019 – Dec. 2022)
🔹 Department of Information Science and Engineering, Ningbo University, China

🏆 Achievements, Awards & Honors

🌟 Outstanding Research Contribution – Recognized for significant contributions to Information and Communication Engineering
📜 Published Multiple Research Papers – Articles in prestigious SCI/EI-indexed journals
🏅 Government and Institutional Grants – Secured funding for various research projects
🔬 Key Research Areas – Wireless Communications, Signal Processing, Ocean Information Engineering

Publication Top Notes:

Actual Truck Arrival Prediction at a Container Terminal with the Truck Appointment System Based on the Long Short-Term Memory and Transformer Model

Proposal for a Calculation Model of Perceived Luminance in Road Tunnel Interior Environment: A Case Study of a Tunnel in China

Comparative Study of Energy Savings for Various Control Strategies in the Tunnel Lighting System

Use of Pupil Area and Fixation Maps to Evaluate Visual Behavior of Drivers inside Tunnels at Different Luminance Levels—A Pilot Study

Dynamic luminance tuning method for tunnel lighting based on data mining of real-time traffic flow