(Last updated : 2024-10-28 18:03:55)
  ISHIKAWA Yasuaki
   Department   Aoyama Gakuin University  Department of Electrical Engineering and Electronics, College of Science and Engineering
   Position   Professor
■ Specialization and related fields
Measurement engineering, Electric and electronic materials, Nano/micro-systems 
■ Academic background
1. Nara Institute of Science and Technology
2. Nara Institute of Science and Technology〔Doctorial Course〕 Completed
3. Nara Institute of Science and Technology〔Master Course〕 Completed
4. Doshisha University Graduated
■ Business career
1. 2023/04~ Aoyama Gakuin University College of Science and Engineering Department of Electrical Engineering and Electronics Professor
2. 2020/04~2023/03 Aoyama Gakuin University College of Science and Engineering Department of Electrical Engineering and Electronics Associate Professor
3. 2018/04~2020/03 Nara Institute of Science and Technology Science and Technology,Division of Materials Science Associate Professor
4. 2010/04~2018/03 Nara Institute of Science and Technology Graduate School of Materials Science Associate Professor
5. 2006/10~2010/03 Sharp corporation Solar system business
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■ Belonging society
1. Japanese Society of Applied Physics
2. Japan Solar Energy Society
3. IEEE Electron Device Society
■ Official position and committee in Univ.
1. 2023/04/01~2025/03/31 Aoyama Gakuin University Curriculum Coordinator
■ Book and thesis
1. Book Intelligent Nanosystems for Energy, Information and Biological Technologies  pp.119-143 (Collaboration) 2016/06
2. Article Influence of the electron transport layer on the performance of perovskite solar cells under low illuminance conditions ACS Omega  (Collaboration) 2024/07
3. Article Analysis and Selection of Optimal Perovskite/Silicon Tandem Configuration for Building Integrated Photovoltaics Based on Their Annual Outdoor Energy Yield Predicted by Machine Learning Solar RRL pp.2400072-1-15 (Collaboration) 2024/04
4. Article On predicting annual output energy of 4-terminal perovskite/silicon tandem PV cells for building integrated photovoltaic application using machine learning Heliyon 9,pp.e18097-1-16 (Collaboration) 2023/09
5. Article Impact Analysis of Potential Induced Degradation on Crystalline Silicon Solar Cell Performance by Correlating Practical Diagnosis with MATLAB Simulation materials (15),pp.8056-1-8056-10 (Collaboration) 2022/11
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■ Lecturer and lecture
1. 2024/07/22 Perovskite-based photovoltaics toward indoor and outdoor applications
2. 2019/01/26 Detect of failures on Si photovoltaic modules
3. 2017/11 The long-term life expectancy of 30 years of silicon PV module analyzed by laser technique
4. 2016/11 Printed oxide semiconductor thin-film transistors
5. 2016/10 A characterization by using laser-based technique for failure Si PV modules
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■ Academic conference presentation
1. 2023/11/06 A prediction model of outdoor degradation rates of 2-terminal perovskite/silicon tandem solar cells using machine learning (The 34th International Photovoltaic Science and Engineering Conference)
2. 2022/11/16 Effect of solar spectral shape on the ANN performance in the prediction of the output power density of 2-terminal perovskite/silicon tandem solar cells under realistic conditions (33rd International Photovoltaic Science and Engineering Conference)
3. 2022/11/16 Influence of electroluminescence measurement on the characteristics of perovskite solar cells (33rd International Photovoltaic Science and Engineering Conference)
4. 2022/11/16 Investigation of electroluminescence image capturing conditions for perovskite solar cells toward on-site evaluation technology (33rd International Photovoltaic Science and Engineering Conference)
5. 2022/11/16 Series resistance images by single-shot electroluminescence method (33rd International Photovoltaic Science and Engineering Conference)
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