Ulrike Jahn | Data Acquisition | Best Review Paper Award

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

Paolo Dini | Data Analysis | Best Researcher Award

Dr. Paolo Dini | Data Analysis | Best Researcher Award

Dr. Paolo Dini | Data Analysis | Leading Researcher at Centre Tecnològic de Telecomunicacions de Catalunya | Spain

Dr. Paolo Dini is a distinguished researcher in the field of information engineering, currently affiliated with the Centre Tecnològic de Telecomunicacions de Catalunya (CTTC), where he leads research at the intersection of sustainable computing, wireless communication, and artificial intelligence. Dr. Paolo Dini holds a Ph.D. in Information and Communication Technologies, and his academic foundation has enabled him to make impactful contributions to the development of energy-efficient and intelligent network infrastructures. Over the years, he has amassed a prolific research portfolio with more than 60 peer-reviewed publications and over 2,300 citations, earning him an h-index of 25 and an i10-index of 54, according to Scopus. Professionally, Dr. Paolo Dini has held research and leadership roles in multiple European and international collaborative projects, contributing both to academia and industrial innovation. He has worked alongside prominent researchers from institutions like Ericsson, Politecnico di Bari, University of Padova, and CTTC, fostering multidisciplinary research in areas such as mobile traffic modeling, green networking, and edge intelligence. His expertise includes machine learning for network optimization, distributed systems, multi-agent systems, 5G and beyond architectures, and sustainable AI. These skills are further demonstrated by his role in developing algorithms and models for energy harvesting in mobile networks and predictive analytics for traffic anomaly detection. Dr. Paolo Dini’s research interests continue to evolve with the current technological landscape, focusing on combining AI with wireless systems to enable smarter, greener, and more adaptive communication environments.

Professional Profile: ORCID | Google Scholar

Selected Publications:

  1. Mobile traffic prediction from raw data using LSTM networks (2018) – 245 Citations

  2. HetNets powered by renewable energy sources: Sustainable next-generation cellular networks (2012) – 201 Citations

  3. SolarStat: Modeling photovoltaic sources through stochastic Markov processes (2014) – 108 Citations

  4. Detecting mobile traffic anomalies through physical control channel fingerprinting: A deep semi-supervised approach (2019) – 81 Citations

 

 

Dr. Jie Lv | Real-time Monitoring | Best Researcher Award

Dr. Jie Lv | Real-time Monitoring | Best Researcher Award

Dr. Jie Lv, Kunming University of Science and Technology, China

Dr. Jie Lv is the Director of the Teaching and Research Office at Kunming University of Science and Technology, where she also serves as a Graduate Supervisor. She earned her Master’s degree in Land Resource Management and Ph.D. in Earth Exploration and Information Technology from the same institution. With a distinguished academic and research profile, Dr. Lv has led over 20 research projects—both completed and ongoing—and authored 35 peer-reviewed publications, including Tier 1 SCI and EI-indexed journals. Her work focuses on remote sensing applications for environmental monitoring, disaster assessment, and deep learning integration. A patent holder, accomplished author of three academic books, and key contributor to a nationally funded exploration project, Dr. Lv is also an active member of several professional bodies. Her dedication to interdisciplinary research and teaching excellence has significantly advanced geospatial science and remote sensing education in China.

Professional Profile:

ORCID

🏆 Summary of Suitability for Best Researcher Award

Nominee: Dr. Jie Lv
Designation: Director of Teaching and Research Office
Institution: Kunming University of Science and Technology

Dr. Jie Lv is a distinguished academic and researcher whose exceptional contributions to remote sensing, environmental monitoring, and deep learning applications position her as an ideal candidate for the Best Researcher Award. With a robust academic foundation and over a decade of experience, she has demonstrated consistent excellence in both theoretical and applied research.

🎓 Education

  • Ph.D. in Earth Exploration and Information Technology
    Kunming University of Science and Technology – 2014

  • Master’s Degree in Land Resource Management
    Kunming University of Science and Technology – 2011

💼 Work Experience

  • Director of Teaching and Research Office
    Kunming University of Science and Technology
    (Graduate Supervisor for master’s students)
    📌 Focused on remote sensing, disaster monitoring, and deep learning applications in environmental studies.

🌟 Key Achievements

  • 🧪 Research Projects: 10 completed + 11 ongoing

  • 📊 Publications: 35 peer-reviewed journal articles (19 as first/corresponding author)

    • 🥇 3 Tier 1 (SCI-indexed)

    • 🥈 7 Tier 1 (EI-indexed)

    • 🥉 5 in Tier 2 and Tier 3

  • 📚 Books Published:

    • Comprehensive Analysis and Study of Remote Sensing Survey for the Karst Mountainous Environment in Southeastern Yunnan (ISBN: 9787541682094)

    • Principles and Applications of Remote Sensing (ISBN: 978752213822)

    • Applied Research on Regional Eco-environmental Monitoring and Assessment Using Remote Sensing (ISBN: 9787568141963)

  • ⚙️ Patents: 3 granted invention patents, 6 utility model patents, 3 pending patents

  • 🛰️ Collaborative Research:
    National Science and Technology Major Project on Deep Earth Exploration (Total funding: RMB 7.05 million)

🏅 Awards & Honors

  • 🧠 CNKI Scholar – Recognized Editorial Contributor

  • 👩‍🏫 Expert Panel Member – Yunnan Land Evaluation & Registration Association

  • 🧾 Peer Reviewer – Ministry of Education Thesis Inspection System

  • 🌐 Professional Memberships:

    • Geographical Society of China (GSC)

    • China Remote Sensing Application Association (CRSAA)

    • China Association of Higher Education (CAHE)

Publication Top Notes:

Bridge Crack Segmentation Algorithm Based on Improved U-Net

Enhanced Landslide Visualization and Trace Identification Using LiDAR-Derived DEM

Ms. Yuri Kim | Data Monitoring | Best Researcher Award

Ms. Yuri Kim | Data Monitoring | Best Researcher Award 

Ms. Yuri Kim, Korea University, South Korea

Yuri Kim is a Ph.D. candidate in Computer Science at Korea University, Seoul, South Korea, where she has been conducting research since September 2020 as a recipient of the ICT Elite Talent Development Program Scholarship. She holds a B.Sc. and M.Sc. in Computer Science from Eötvös Loránd University, Budapest, Hungary, where she graduated with distinction under the Stipendium Hungaricum Scholarship. Yuri has extensive experience in both academia and industry, having served as a lecturer at Korea University Graduate School of Education and Eötvös Loránd University, teaching advanced data structures and functional programming. She has also worked as a project manager at The Mihalik Group, leading the development of in-house business automation software, and as a student backend developer at Ericsson. Her research interests span natural language processing, machine learning, and financial modeling, with notable publications on stock trading recommendation systems, serendipity-based recommender systems, and Linked Open Data structures. She has been actively involved in entrepreneurial ventures, participating in the 2024 Korean I-Corps Program and the 2023 Innovation Startup School, focusing on AI-driven solutions. Proficient in Python, C, Go, and Clean, Yuri combines her expertise in programming with strong project management skills in Agile and Scrum methodologies.

Professional Profile:

ORCID

Summary of Suitability for the Best Researcher Award

Yuri Kim is an exceptional researcher in computer science, artificial intelligence, natural language processing (NLP), and recommender systems, demonstrating a strong academic and professional background. Her diverse expertise, high-impact research contributions, and interdisciplinary approach make her a highly suitable candidate for the Best Researcher Award.

🎓 Education

📍 Korea University, Seoul, South Korea
🔹 Ph.D. Candidate in Computer Science (2020.09 – Present)
🔹 🎖️ Recipient of ICT Elite Talent Development Program Scholarship
🔹 🏫 Research Assistant

📍 Eötvös Loránd University, Budapest, Hungary
🔹 B.Sc. & M.Sc. in Computer Science (Integrated Program) (2016.09 – 2019.08)
🔹 📊 GPA: 4.28 / 4.5 (Master’s) | 4.48 / 4.5 (Bachelor’s)
🔹 🎖️ Recipient of Stipendium Hungaricum (Hungarian Government Scholarship)

💼 Work Experience

📍 The Mihalik Group, Chicago, IL (Remote)
🔹 Project Manager (PM) (2023.08 – 2024.07)
🔹 🏗️ Developed in-house business automation software
🔹 📅 Planned & designed project phases, coordinated schedules
🔹 🔍 Managed resources & monitored project performance

📍 Korea University Graduate School of Education, Seoul, South Korea
🔹 Lecturer – Advanced Data Structures (2022.09 – 2023.02)
🔹 🖥️ Delivered lectures on Data Structures & Algorithms
🔹 📝 Designed quizzes, assignments, exams & projects
🔹 📚 Developed instructional materials

📍 Eötvös Loránd University, Budapest, Hungary
🔹 Lecturer – Functional Programming (Clean Language) (2018.02 – 2019.02)
🔹 🏛️ Taught Clean Functional Programming
🔹 ✍️ Designed evaluations, assignments, exams & projects
🔹 📖 Created instructional materials

📍 Ericsson, Budapest, Hungary
🔹 Student Backend Developer (2018.09 – 2019.01)
🔹 ⚙️ Developed & evaluated performance test cases using C
🔹 🛠️ Updated codebase to align with modern standards
🔹 🔍 Conducted code reviews & refactoring

🏆 Awards & Honors

🔹 2024 Korean I-Corps Program 🚀

  • AI-Based Personalized Makeup Consulting
    🔹 2023 Innovation Startup School 🏅
  • AI-Based Celebrity Memorabilia Donation & Auction Platform

🎖️ Achievements

📌 Publications & Research 📚
🔹 Developed a Rule-Based Stock Trading Recommendation System 📈
🔹 Designed a Serendipity-Incorporated Recommender System 🤖
🔹 Implemented a Linked Data Visualization System 🔗
🔹 Proposed methods for Enhancing Linked Open Data (LOD) 🛠️
🔹 Researched Interdisciplinary Applications for Functional Programming 🎨
🔹 Compared Clean vs. C Programming for Education 💻
🔹 Explored Distributed Computation Patterns in Go & RabbitMQ ☁️

📌 Projects 🔍
🔹 SEC 13D/G & 13F Report Tracking Platform (2024.12) 📊
🔹 Text-to-Speech-Based Audiobook Auto-Generation (2024.12) 🎙️
🔹 AI Avatar-Based Motion Slide Auto-Generation (2024.12) 🖼️
🔹 DART Stock Large Shareholder Report Crawling System (2024.10) 📑

Publication Top Notes:

A Rule-Based Stock Trading Recommendation System Using Sentiment Analysis and Technical Indicators

Introduction to programming Using Clean