جستجوی استاد راهنمای دانشگاهی

Dominique Chen is a Professor at Waseda University's School of Culture, Media and Society since 2022, previously serving as Associate Professor from 2017-2022. A French national born in 1981, he holds a Ph.D. in Interdisciplinary Informatics from the University of Tokyo (2013). His work bridges technology, art, and human experience with a focus on digital well-being and more-than-human relationships. Chen's research interests include human-microbe interaction, neo-cybernetics, and the design of systems that foster mutual care between humans and non-human entities. His work with the Nukabot project exemplifies this interdisciplinary approach, exploring how fermentation processes can serve as metaphors for communication and relationship building. He leads the Ferment Media Research group, investigating how fermentation principles apply to digital cultures and communication systems. His recent publications reveal a consistent focus on designing for well-being in digital societies, with particular attention to translation processes, human-microbe relationships, and the creation of systems that support co-adaptive interaction. The Nukabot research series demonstrates how traditional fermentation practices can inform novel interaction paradigms that acknowledge and incorporate more-than-human perspectives. Best Paper Honorable Mention (2024) - ACM Synlogue with Aizuchi-bot ACM SIGGRAPH Special Prize (2023) - Nukabot Best of AppStore 2015/2016 - Picsee/Syncle applications Good Design Award (2008) - Creative Commons Japan Super Creator certification (2009) - IPA Exploratory IT Program Chen has advised numerous projects through his leadership of Ferment Media Research and has served on various committees including the Good Design Award jury (2016-), Yomiuri Shimbun Reading Committee, and advisory boards for art and design institutions. His work extends beyond academia through his founding of Divideal Inc. (acquired by Smart News in 2018) and Creative Commons Japan (now Commonsphere). His laboratory, Ferment Media Research, explores interdisciplinary connections between fermentation processes, digital systems, and human relationships, creating installations like Nukabot that facilitate human-microbe interaction and Last Words/TypeTrace that examines writing processes and communication.

• Digital Well-being
• Human-Microbe Interaction
• Neo-cybernetics
• +۷ مورد دیگر

Nozomu Togawa is a Professor at Waseda University's Faculty of Science and Engineering, School of Fundamental Science and Engineering, specializing in Computer Science. He has held this position since 2009 and also serves as Chief Scientific Officer (CSO) of Quanmatic Inc. since 2022. With a PhD in Engineering from Waseda University (1997), his academic journey includes positions at Waseda University and the University of Kitakyushu before his current professorship. His research interests focus on integrated system design , quantum computation , and information security . Togawa has published extensively with over 368 papers and significant citation metrics (Scopus h-index: 23, Google Scholar h-index: 28). His work bridges theoretical quantum computing with practical security applications, particularly in hardware security and IoT systems. Togawa's research demonstrates a clear progression from traditional hardware security toward quantum-inspired computing solutions. His recent publications focus on Ising machines, quantum annealing, and hardware Trojan detection, showing how quantum approaches can solve complex optimization problems in security contexts. He has made significant contributions to applying quantum computing techniques to practical problems like course selection optimization, travel planning, and hardware security verification. Among his notable recognitions are the Minister of Education, Culture, Sports, Science and Technology Award for Science and Technology (2018), SCOPE Results Development Promotion Award (2022), and multiple Best Paper Awards. He serves on important committees including the Ministry of Internal Affairs and Communications Cyber Security Task Force and the Institute of Electronics, Information and Communication Engineers' VLSI Design Technology Research Committee. Togawa actively mentors students who frequently appear as co-authors on his publications. His research group produces high-impact work in quantum computing applications and hardware security, with strong industry connections through his CSO role at Quanmatic Inc. He has received substantial research funding supporting his innovative work at the intersection of quantum computing and security.

• integrated system design
• quantum computation
• information security
• +۴ مورد دیگر

Hayato Yamana serves as Professor at Waseda University's Faculty of Science and Engineering and concurrently holds the position of Vice President for IT Promotion and Chief Information Officer since October 2020. His academic journey began with a Dr. Eng. degree from Waseda University in 1993, followed by positions at the Electrotechnical Laboratory of MITI, before joining Waseda University as Associate Professor in 2000 and becoming full Professor in 2005. He has held significant leadership roles including Director of the Database Society of Japan and the Information Processing Society of Japan, as well as Vice Chair of IEICE's Information and Communication Society. Waseda University, Faculty of Science and Engineering (2005-Present) National Institute of Informatics, Visiting Professor (2005-Present) Waseda University, Vice President for IT Promotion (2020-Present) Deputy Chief Information Officer (2015-2020) His research spans homomorphic encryption, big data analysis, and computer architecture, with notable contributions in privacy-preserving computation, recommender systems, and secure data processing. His work bridges theoretical cryptography with practical applications in smart cities, healthcare, and e-commerce security. Recent publications demonstrate strong focus on accelerating homomorphic encryption operations, improving recommendation system diversity, and developing novel authentication mechanisms. Analysis of his 15 most recent publications reveals consistent emphasis on privacy-preserving technologies (particularly homomorphic encryption applications), innovative recommender system architectures, and biometric security solutions. His research group produces highly cited work at the intersection of cryptography, machine learning, and systems security, with practical implementations in real-world scenarios including smart grids, e-commerce, and healthcare. Fellow, Information Processing Society of Japan (IPSJ), 2020 Golden Core Award, IEEE Computer Society, 2018 Fellow, Institute of Electronics, Information and Communication Engineers (IEICE), 2018 IBM Faculty Award, 2009 Multiple Best Paper Awards from IEICE, IPSJ, and ITE Yamana has secured substantial research funding for projects in homomorphic encryption, smart city infrastructure, and privacy-preserving systems. His leadership extends to advising numerous doctoral students and directing major research initiatives including the Smart Systems and Services Innovative Professional Education Program. He maintains active collaborations with industry partners through projects involving secure computation and data analytics. His research group operates at the forefront of secure computing, with specialized laboratories focused on homomorphic encryption acceleration, privacy-preserving machine learning, and secure mobile authentication. The team actively develops practical implementations of cryptographic protocols for real-world applications in healthcare, finance, and smart city infrastructure, bridging theoretical cryptography with deployable security solutions.

• Homomorphic Encryption
• Big Data Analysis
• Database Systems
• +۶ مورد دیگر

FURUZUKI, Takayuki is a Professor at Waseda University's Faculty of Science and Engineering, Graduate School of Information, Production, and Systems. He holds a PhD from Kyushu Institute of Technology and maintains the NCLab research group (http://nclab.w.waseda.jp/nclab/). His professional memberships include the Institute of Electronics, Information and Communication Engineers, Institute of Electrical Engineers of Japan, Society of Instrument and Control Engineers, and IEEE. His educational background includes a PhD in Information Science from Kyushu Institute of Technology (1994-1997), a Master's degree in Electronics Engineering from Sun Yat-Sen University (1983-1986), and a Bachelor's degree in Electrical & Electronic Systems Engineering from Sun Yat-Sen University (1979-1983). Professor FURUZUKI's research spans neural networks, genetic algorithms, system identification and control, complex systems, bioinformatics, and combinatorial optimization. His work integrates soft computing techniques with medical informatics and control systems engineering, developing innovative approaches for problems ranging from brain tumor segmentation to music information retrieval. His research methodology often combines theoretical foundations with practical applications in healthcare, energy systems, and intelligent transportation. His recent publication record shows a strong focus on sequential recommendation systems, graph neural networks for medical imaging, music information retrieval, and power systems analysis. The consistent thread across his work is the application of advanced machine learning techniques to solve complex, real-world problems across diverse domains, with particular emphasis on handling missing data, improving model efficiency, and enhancing prediction accuracy. His scientific achievements have been recognized with several prestigious awards: ISCIIA2008 Excellent Paper Award (2008) Institute of Electrical Engineers of Japan Excellent Paper Award (2001) Guangdong Province Higher Education Science and Technology Progress Second Prize (1991) Guangdong Province Higher Education Science and Technology Progress Second Prize (1989) Chinese Ministry of Education Scientific and Technological Achievements Second Prize (1986) Professor FURUZUKI has maintained continuous research activity since joining Waseda University in 2003, with significant contributions to multiple research projects spanning neural computation, soft computing, and system engineering. His work demonstrates strong international collaboration, with publications involving researchers from various institutions worldwide. His research output includes over 410 papers with 3,623 citations and an h-index of 23 according to Scopus data. The NCLab research group, which he leads, focuses on neural computation and related areas, providing a platform for interdisciplinary research that bridges theoretical foundations with practical applications in healthcare, energy systems, and intelligent transportation. His laboratory environment fosters innovation in machine learning algorithms and their application to real-world problems, with particular emphasis on developing efficient, robust solutions for complex data analysis tasks.

• Neural Networks
• Genetic Algorithms
• System Identification and Control
• +۷ مورد دیگر

Hiroshi Onoda is a Professor at the Faculty of Science and Engineering and Graduate School of Environment and Energy Engineering , Waseda University. His work focuses on environmentally friendly design , LCA , resource recycling , renewable energy systems , and smart communities . He holds a Doctor of Engineering from Waseda University and has held various leadership roles, including Dean of the Graduate School of Environment and Energy since 2022. Education : PhD in Mechanical Engineering (Waseda University, 2006) Professional Leadership : Environment Energy Advisor (Saitama Prefecture, 2010–2015), Director of Waseda Environmental Institute Co., Ltd. (2011–2017) Research Themes : Onoda’s research spans smart waste management , EV integration , CO2 reduction , and renewable energy deployment . He emphasizes AI and IoT applications in waste systems, decentralized energy solutions for developing nations, and decarbonization strategies for urban and industrial contexts. Publication Trends : His recent work addresses AI-driven recycling optimization , community-level GHG inventories , and DAC-based fertilizer systems , reflecting his commitment to circular economy and low-carbon mobility . Key sub-fields include robotic waste sorting , decentralized energy planning , and plastic recycling economics . Scientific Awards : Environment Minister’s Commendation (2024) Best Paper Award, ICET4SD (2021) JSME Environment Division Award (2014) JSME Research Encouragement Award (2018) Grants and Projects : Onoda has led nationwide evaluations of low-carbon industrial zones , hydrogen utilization , and plastic recycling policies . He contributes to Japan’s decarbonization roadmap through roles in NEDO and Ministry of the Environment committees. Labs and Initiatives : He founded the Waseda Environmental Research Institute, Inc. (2003) and drives innovation through the BRIDGE LIFE Platform for smart communities in Japan.

• Smart Communities
• Next-generation Mobility Systems
• Unused Biomass Utilization Technologies
• +۶ مورد دیگر

Hiroshi Toyoizumi is a Professor at Waseda University's Faculty of Commerce and Graduate School of Accountancy, with a Ph.D. in Mathematical Physics from Waseda University. His work bridges Applied Probability , Operations Research , and Computational Biology , focusing on stochastic modeling across biological and network systems. Research Interests Stochastic Models in Biology : Analyzing social queues in hover wasps and meiotic DSB regulation using quasi-birth-death processes and survival analysis. Network Security : Modeling computer virus spread on scale-free networks and proposing active defense strategies. Queueing Theory : Developing analytical frameworks for on-demand streaming, quantum merging, and blockchain-based systems. Article Trends Recent work (2020-2024) explores nonlocal diffusion , quantum queueing , and swarm behavior in financial markets . Mid-2010s studies focus on cooperative breeding and DNA recombination dynamics . Early papers (pre-2010) examine computer virus ecology , secure group communication , and deterministic queue analysis . Scientific Awards Biotechno 2013 Best Paper Award IEICE Switching Workshop SSE Research Award (1999) IEICE Young Research Engineer Award (1997) Teaching Activities Graduate-level courses in Operations Research and Financial Engineering . Undergraduate and graduate seminars in Applied Mathematics and Probabilistic Models .

• Applied Probability
• Operations Research
• Computational Biology
• +۴ مورد دیگر

Ken-Ichi Akao is a Professor at the Faculty of Social Sciences, Waseda University, where he has been serving since April 2002. Previously, he held positions as Associate Professor (1997-2002), Lecturer (1995-1997), and Instructor at Waseda University. He also served as an International Visiting Scholar at UC Davis (2002-2004) and as a Visiting Professor at KIER, Kyoto University (2008). Dr. Akao received his Ph.D. from Kyoto University and holds degrees from Kyoto University Faculty of Agriculture (1984) and Graduate School, Faculty of Agriculture Department of Forestry (1989). Dr. Akao's academic journey began at Kyoto University, where he completed both his undergraduate and graduate studies in Agriculture with a focus on Forestry. He earned his Doctorate from Kyoto University Graduate School, Faculty of Agriculture Department of Forestry in 1989. His academic career commenced as a Research Fellow with the Japan Society for the Promotion of Science (1989-1990), followed by positions at Kyoto University and eventually Waseda University. Dr. Akao's research spans the intersection of environmental economics, resource management, and economic theory. His work focuses on sustainable development, climate change policy, intergenerational equity, and the economic analysis of natural resource management. He has made significant contributions to understanding the theoretical foundations of sustainable development, particularly examining the conditions under which sustainable paths can be achieved within standard economic models. His recent research explores the role of dialogue and communication in fostering altruism toward future generations in the context of climate change. Dr. Akao has also investigated optimal forest management when carbon sequestration services have economic value, and the impact of environmental taxation on green innovation. With a publication record spanning several decades, Dr. Akao's research demonstrates a consistent focus on the economic dimensions of environmental challenges. His work combines rigorous theoretical modeling with practical policy implications, particularly in the areas of climate change mitigation, sustainable resource management, and intergenerational equity. Recent publications show an increasing interest in behavioral aspects of environmental decision-making, including how dialogue and communication can influence altruistic behavior toward future generations. His research often employs dynamic game theory and optimal control methods to analyze long-term environmental and resource management problems. Co-editor, Environmental Economics and Policy Studies (Springer Journal), 2010-present Managing Editor, Environmental Economics and Policy Studies (2014-2018) Editorial Board, International Review of Environmental and Resource Economics, 2021-present Editorial Board, Chinese Journal of Population Resources and Environment, 2020-present Dr. Akao is an active member of multiple professional organizations including the Econometric Society, European Association of Environmental and Resource Economists, Asian Association of Environment and Resource Economics, and Society for Environmental Economics and Policy Studies. His research has been presented at major international conferences worldwide, demonstrating his significant contribution to the field of environmental economics and sustainable development.

• Environmental Economics
• Resource Economics
• Economic Theory
• +۵ مورد دیگر

Professor Shigeru Fujimura is affiliated with Waseda University as a faculty member of the Faculty of Science and Engineering , specifically in the Graduate School of Information, Production, and Systems . With a PhD in Engineering from Waseda University, his research focuses on intelligent informatics and system engineering , particularly in scheduling, optimization, and human-robot collaboration. His research spans multiple domains including: Deep Reinforcement Learning for combinatorial optimization Energy-efficient manufacturing systems Multi-agent collaboration frameworks Augmented Reality interfaces IoT business modeling Recent publications demonstrate expertise in graph neural networks , particle swarm optimization , and generative adversarial networks applied to industrial problems. He has received multiple awards including the Invention Encouragement Prize (2003) and IEEJ Paper Presentation Award (1994) .

• Software
• Intelligent informatics
• Control and system engineering
• +۴ مورد دیگر

Xin Qi is an Assistant Professor (non-tenure-track) at the School of International Liberal Studies, Faculty of International Research and Education, Waseda University. He holds a Doctor of Engineering degree from Waseda University (2019) and previously studied at Hangzhou Dianzi University (2009-2013). His educational background includes: Doctor of Engineering, Waseda University (2014.09-2019.09) Bachelor's degree, Hangzhou Dianzi University (2009-2013) Dr. Qi's research focuses on the intersection of artificial intelligence and network technologies. His primary research areas include Intelligent Informatics, with specific interests in Artificial Intelligence applications for security systems, IoT infrastructure, and Information-Centric Networking. His work bridges theoretical computer science with practical applications in public safety, disaster management, and secure communications. His research demonstrates strong interdisciplinary connections between computer science, electrical engineering, and practical security applications. Analysis of Dr. Qi's publication record (44 papers with 557 Scopus citations and h-index of 12, or 757 Google Scholar citations with h-index of 15) reveals a strong focus on practical applications of AI and blockchain technologies. His most recent work (2023-2024) centers on latency compensation in remote monitoring systems, GNSS spoofing detection using machine learning, and AI-based security screening systems. Earlier work (2021-2022) shows significant contributions to ledger-based point transfer systems for LPWAN networks and image processing techniques for secure data transmission. His research demonstrates a consistent trajectory toward solving real-world problems in security, networking, and IoT applications. Dr. Qi is an active member of professional organizations including the Institute of Electronics, Information and Communication Engineers and IEEE. His research is supported by multiple projects including "Low latency interactive zero latency video/Somatic integrated network" (2022-2024), "Dynamic Secure Network for Traffic and Logistics" (2021-2023), and "Lightweight distributed ledger technology authentication system for LPWA" (2020-2022). These projects reflect his focus on practical applications of his research in real-world scenarios, particularly in disaster management and secure communications infrastructure. He has received consistent research funding that supports both theoretical development and practical implementation of his work. Dr. Qi also contributes to educational initiatives at Waseda University, teaching courses including Data Structure and Algorithms, Human-Technology Interface, and Computerized Society, where he bridges theoretical computer science with practical applications for undergraduate students.

• Artificial Intelligence
• Intelligence Informatics
• Internet of Things
• +۴ مورد دیگر

Hideo Ishii is a Professor at Waseda University's Faculty of Science and Engineering and a Concurrent Researcher at the Waseda Center for a Carbon Neutral Society (2024-2026). He teaches graduate courses across the Graduate Schools of Fundamental Science and Engineering, Creative Science and Engineering, and Advanced Science and Engineering, covering power systems, energy materials, and international standardization. His research specializes in electrical power systems with emphases on smart grid infrastructure, demand response optimization for residential appliances, and photovoltaic integration challenges. Key investigations include voltage control methodologies for renewable-heavy distribution networks, communication protocols for grid automation, and household energy flexibility modeling to enhance grid stability during energy transitions. Publication analysis shows consistent contributions to power system modernization, with 2020 work on laundry appliance demand response building upon 2016 smart grid communication demonstrations and 2012 experimental PV voltage control research. This trajectory reflects sustained focus on practical grid solutions balancing renewable adoption and system reliability. Through the Waseda Center for a Carbon Neutral Society, Professor Ishii advances decarbonization research while educating engineers via specialized courses like Power Resource Optimization and Technological Excellence seminars that integrate technical rigor with global standardization frameworks.

• Power Systems
• Smart Grid
• Renewable Energy Integration
• +۳ مورد دیگر

Professor Shoichi Saito is a distinguished academic at Nagoya Institute of Technology, where he serves in the Department of Information Engineering within the College of Engineering. His research focuses on information security, computer systems, and software engineering, with particular expertise in IoT security, distributed systems, and network security. Professor Saito earned his Doctor of Engineering from Ritsumeikan University in March 2000. Prior to his current position, he served as Assistant Professor, Lecturer, and Associate Professor at Wakayama University's Faculty of Systems Engineering from 1998 to 2006. His research interests span multiple critical areas of modern computing: Information security with focus on IoT device protection Distributed systems and blockchain technologies Mobile application security, particularly for Android platforms Confidential information protection using virtual machine technologies Network security and anonymous communication systems Professor Saito's research outputs demonstrate a consistent focus on practical security solutions for emerging technologies. His recent work has centered on IoT security, data usage control in distributed environments, and advanced taint tracking mechanisms for mobile applications. His research bridges theoretical security concepts with practical implementation challenges. Among his notable recognitions are multiple awards from the Information Processing Society of Japan's Computer Security Research Group, including CSS2024 Student Paper Awards and Encouragement Awards. Professor Saito actively contributes to the academic community through committee memberships, including the Nagoya City Personal Information Protection Council and various program committees for the Information Processing Society of Japan. He has secured significant research funding, most recently for projects on IoT device emulation and virtual execution platform remote authentication.

• Information Security
• Computer Systems
• Software Engineering
• +۳ مورد دیگر

Tengfei SHAO is an Assistant Professor (non-tenure-track) at Waseda University's Global Education Center and Researcher at the Institute of Data Science. His academic journey includes a Doctorate in Engineering from Waseda University's School of Creative Science and Engineering, completed in March 2025. 2022.04 - 2025.03: Doctorate at Waseda University, School of Creative Science and Engineering, Management Systems Program 2020.04 - 2022.03: Master's studies at Waseda University Dr. SHAO's research centers on network science applications across diverse domains. His primary interests include Complex Systems, Network Analysis, and Social Systems Engineering, with particular focus on second-hand luxury market dynamics, AI ethics education, and sentiment analysis. His work frequently employs network motifs as analytical tools to uncover hidden patterns in consumer behavior, market trends, and social interactions. He has developed innovative approaches to analyzing e-commerce versus brick-and-mortar retail environments, particularly in the luxury goods sector. His publication record reveals a consistent trajectory of interdisciplinary research spanning computer science, economics, and social sciences. His most recent work integrates multimodal learning with sentiment analysis, medical image segmentation techniques, and advanced network analysis methodologies. The trend shows increasing sophistication in applying network science to real-world business problems, particularly in the luxury market sector. Association for Computing Machinery (ACM) member since 2024 Institute of Electrical and Electronics Engineers (IEEE) member since 2024 計測自動制御学会 (SICE) member since 2022, serving on Social Systems Committee since 2024 人工知能学会 (JSAI) member since 2022 電子情報通信学会 (IEICE) member since 2022 情報処理学会 (IPSJ) member since 2020 At Waseda University's Global Education Center, Dr. SHAO teaches multiple programming courses including Basic AI Programming, Introduction to Python Programming, Database Management, and Fundamentals of Information Science across different quarters. His teaching portfolio demonstrates expertise in foundational computer science education for international students. His research methodology consistently applies network science principles to diverse domains, creating bridges between technical analysis and practical business applications, particularly in understanding consumer behavior in digital marketplaces.

• Network Analysis
• Complex Systems
• Social Systems Engineering
• +۵ مورد دیگر

Zixi Gu is an Assistant Professor at Waseda University's School of Creative Science and Engineering, Department of Integrative Bioscience and Biomedical Engineering, since 2025.04. With a Ph.D. in Engineering (2025) and Master of Engineering (2018) from Waseda University, their research focuses on Human-Machine Interfaces Wearable Sensor Systems Intelligent Robotics for Rehabilitation Muscle Activity Estimation Algorithms Research trends show a consistent focus on gait analysis and assistive robotics , utilizing IMU-based systems for real-time muscular activity measurement and developing training devices for elderly mobility preservation. Key innovations include non-contact sensors for knee extensor monitoring and humanoid robots for cultural acceptance in elder care. Scientific recognition includes 2019 : Best Student Paper Award, IEEE ICMA 2019 2019 : Best Paper Finalist, IEEE ICMA 2019 Current teaching responsibilities include Fundamentals of Robotics and Control Systems courses at Waseda University. Actively involved in research projects like the 2025 Research Base Formation Grant for academic infrastructure development.

• Robot Manipulation
• Human Measurement
• Haptics
• +۱۲ مورد دیگر

Takashi Nozu is a Professor at Waseda University's Faculty of Science and Engineering, Graduate School of Environment and Energy Engineering. He also serves as a Visiting Professor at the Research Institute for Humanity and Nature, National Institutes for the Humanities. With a Ph.D. in Public Policy Analysis from the National Graduate Institute for Policy Studies, Nozu has built a distinguished career spanning academia and government service, including significant roles at the Ministry of Agriculture, Forestry and Fisheries from 1998 to 2013 before transitioning to academia. Professor Nozu's research focuses on the critical intersection of agriculture, renewable energy, and environmental sustainability, with particular emphasis on agricultural solar power generation (solar sharing), smart agriculture, and regional circular symbiosis systems. His work bridges technical analysis with policy implementation, examining how renewable energy integration can simultaneously address food security, rural revitalization, and decarbonization goals. He has extensively studied the economic, social, and technical aspects of solar sharing implementation, consumer perceptions, and the business models that enable successful integration of energy production with agricultural activities. Nozu's recent publications reveal a strong focus on sustainability transitions in agriculture, with particular attention to smart farming technologies, open innovation platforms in agricultural research, and policy frameworks that support renewable energy integration. His work consistently addresses practical implementation challenges while maintaining a strategic perspective on how agricultural systems can contribute to broader decarbonization goals. The research demonstrates a progression from technical analysis of solar sharing systems toward more comprehensive studies of sustainability transitions and policy frameworks. Among his notable recognitions is the Excellent Presentation Award from the Rural Planning Association in December 2024 for his work analyzing factors affecting donations for environmentally friendly rice as hometown tax return gifts. He maintains active roles in multiple professional societies including the Japan Society of Energy and Resources, Rural Planning Association, and Society for Research and Innovation. Professor Nozu advises government bodies through numerous committee memberships, including the Rural Planning Association's Editorial Committee, the Ministry of the Environment's Review Committee for Renewable Energy, and various agricultural policy committees. His work regularly appears in media outlets including Asahi Shimbun, Yomiuri Shimbun, and NHK, where he provides expert commentary on agricultural solar power generation and rural sustainability issues.

• Renewable Energy
• Smart Agriculture
• Agricultural solar power generation (solar sharing)
• +۶ مورد دیگر

YOSHINAGA, Jun serves as a Senior Researcher holding the academic rank of Associate Professor at the Advanced Collaborative Research Organization for SmartSociety, an institution dedicated to interdisciplinary research for next-generation societal infrastructure. His position reflects active engagement in academic research within this specialized organization. Dr. Yoshinaga's research spans critical domains including Smart Society frameworks, Internet of Things integration, Artificial Intelligence applications, Sustainable Development strategies, Urban Informatics, and Cyber-Physical Systems. His work focuses on technological solutions for societal challenges, particularly in urban environments and resource optimization, leveraging cross-disciplinary approaches to advance smart community development. According to Scopus metrics (downloaded September 4, 2025), he maintains an active publication record with 43 papers, 260 citations, and an h-index of 9, demonstrating consistent scholarly contribution in these evolving research areas.

• Smart Society
• Internet of Things
• Artificial Intelligence
• +۳ مورد دیگر