جست‌وجوی استاد و پژوهشگر

• Perceptual information processing
• Computer Vision
• Artificial Intelligence
• +۳ مورد دیگر

Hiroshi Ishikawa is a Professor in the Department of Computer Science and Engineering at Waseda University's Faculty of Science and Engineering. He also serves as a Visiting Professor at the National Institute of Informatics since 2016. Previously, he held positions at Nagoya City University from 2004-2010 as Assistant Professor, Associate Professor, and Professor. His academic journey includes being a JST PRESTO Researcher from 2009-2013 and an Associate Research Scientist at New York University's Courant Institute of Mathematical Sciences from 2000-2001. Ph.D. in Computer Science, New York University (2000) Master of Science, Kyoto University Bachelor's degree in Mathematics, Kyoto University Faculty of Science (1991) Hiroshi Ishikawa's research spans perceptual information processing, computer vision, artificial intelligence, deep learning, and discrete optimization. His work focuses on developing algorithms for image restoration, segmentation, and understanding, with significant contributions to energy minimization techniques in computer vision. He has pioneered approaches in sketch simplification, medical image segmentation, and higher-order graph cuts. His research bridges theoretical advances in mathematical optimization with practical applications in medical imaging, computer graphics, and consumer electronics. Ishikawa's recent publications demonstrate a strong focus on leveraging deep learning for image enhancement and understanding. His work spans super-resolution techniques, colorization methods, human avatar generation, and medical image analysis. A notable trend is the increasing integration of attention mechanisms and generative models to solve complex vision problems, with growing emphasis on real-world applications in medical imaging and computer graphics. His research group consistently produces high-impact work that appears in top-tier computer vision conferences. 75th Annual IEICE Best Paper Award (2019) Innovative Technologies 2016 Special Prize for Culture (Ministry of Economy, Trade and Industry) MIRU Nagao Award (Best Paper Award) (2009) Young Author Award (IEEE Computer Society Japan Chapter, 2006) MIRU2006 Excellent Paper Award (2006) Harold Grad Memorial Prize (Courant Institute of Mathematical Sciences, NYU, 2000) As a professor at Waseda University, Ishikawa has mentored numerous students who have become active researchers in computer vision, including Yuya Masuda, Edgar Simo-Serra, and Satoshi Iizuka. His research has been supported by various grants, including JST PRESTO funding from 2009-2013. He has served on editorial boards for prestigious journals including IEEE Transactions on Pattern Analysis and Machine Intelligence and has held leadership roles in major computer vision conferences such as ICCV, CVPR, and ACCV. Ishikawa leads a vibrant research group at Waseda University focused on computer vision and image processing. His laboratory collaborates extensively with researchers at Nagoya City University, National Institute of Informatics, and international institutions. The group maintains strong connections with industry partners, particularly in medical imaging and consumer electronics sectors, translating theoretical advances into practical applications.

David Croydonمشاهده پروفایل

دانشیار

• Probability theory
• Diffusions on random fractals
• Scaling limits
• +۵ مورد دیگر

David Croydon is an Associate Professor at the Research Institute for Mathematical Sciences (RIMS), Kyoto University. His research focuses on probability theory, particularly diffusions on random fractals and scaling limits of random walks on random graphs. He also investigates discrete integrable systems with random initial conditions. Dr. Croydon's primary research interests span several areas of probability theory and mathematical physics. His work centers on diffusions on random fractals and how these processes can be constructed as scaling limits of related random walks on random graphs. He has made significant contributions to understanding random walks on critical structures including Galton-Watson trees, uniform spanning trees, and percolation clusters. More recently, he has developed a growing interest in the behavior of discrete integrable systems such as the box-ball system, particularly when started from random initial conditions. His research often bridges theoretical probability with applications in statistical physics and mathematical physics. Dr. Croydon's recent publications demonstrate a dual focus on theoretical probability and mathematical physics. His work on random walks spans various structures including binary trees, critical percolation clusters, and uniform spanning trees. He has made significant contributions to understanding aging phenomena, heat kernel fluctuations, and scaling limits in random media. Simultaneously, his research on discrete integrable systems explores the connections between probability theory and soliton theory, particularly through the lens of the box-ball system and related models. These two research strands converge in his investigations of scaling limits and invariant measures for complex stochastic systems. Dr. Croydon's scientific contributions have been recognized through publications in top-tier journals across probability theory and mathematical physics, though specific awards are not mentioned in the available information. Dr. Croydon has supervised several doctoral students to completion, including Adam Bowditch (2017), George Andriopoulos (2019), Eleanor Archer (2020), and Takumu Ooi (2024). He has also served in advisory roles for other students including John Sylvester (2017). His collaborative research spans multiple international institutions, suggesting involvement in various research grants supporting his work in probability theory and mathematical physics. While specific lab names aren't mentioned, Dr. Croydon is part of the vibrant probability theory research group at the Research Institute for Mathematical Sciences (RIMS) at Kyoto University. His extensive collaborations with researchers worldwide, particularly in the UK, France, and Japan, indicate active participation in international research networks focused on stochastic processes, random media, and discrete integrable systems.

• integrated system design
• quantum computation
• information security
• +۴ 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.

• Multimedia Signal Processing
• Computer Networks
• Communication Engineering
• +۳ مورد دیگر

Jiro Katto is a Professor at Waseda University's School of Fundamental Science and Engineering, where he has been conducting research and teaching since 1999. He received his Ph.D. from the University of Tokyo and has established himself as a leading researcher in multimedia signal processing and computer networks. His academic journey includes positions as Associate Professor (1999-2004), Professor (2004-present), and Director at NEDO (2004-2008), along with research experience at NEC C&C Laboratories (1992-1999) and a Visiting Scholar position at Princeton University (1996-1997). Professor Katto's research interests focus on Multimedia Signal Processing and Computer Networks, with particular expertise in video compression, 5G network performance, and learned image compression techniques. His work bridges theoretical advancements with practical implementations, as evidenced by his extensive publications in top-tier conferences and journals. His research group has made significant contributions to point cloud compression, latency compensation in remote systems, and hardware-accelerated video encoding for UHD streaming. His publication record is impressive, with 276 papers cited 3,323 times in Scopus and 6,169 times in Google Scholar, reflecting his substantial impact in the field. His recent work shows a strong trend toward applying deep learning techniques to traditional signal processing problems, particularly in the areas of image and video compression, where his team has developed novel approaches to improve compression efficiency while reducing computational complexity. Electric Telecommunications Promotion Foundation Telecommunications System Technology Award (2023) Takayanagi Kenjiro Foundation Takayanagi Kenjiro Achievement Award (2020) Institute of Image Information and Television Engineers Fellow (2020) Institute of Electronics, Information and Communication Engineers Fellow (2015) IEICE Communications Society Activity Contribution Award (2006) IEICE Academic Encouragement Award (1995) SPIE VCIP 1991, Best Student Paper Award (1991) Professor Katto has served on numerous prestigious committees including IEEE ComSoC Tech News Editorial Board, IEEE Technical Program Committees for major conferences (Globecom, ICC, ICIP), and editorial boards for several academic journals. His leadership in the academic community extends to chairing conferences like IWAIT 2011 and serving as Editor-in-Chief for journals in his field. His research has practical applications in commercial 5G networks, video streaming services, and remote monitoring systems, demonstrating the real-world impact of his work.

• Entrepreneurship
• International Business
• Strategic Management
• +۱ مورد دیگر

Akie Iriyama is a Professor at the Graduate School of Business and Finance, Waseda University, with affiliations to the Faculty of Commerce and Graduate School of Advanced Science and Engineering. Their research bridges practical and theoretical aspects of entrepreneurship, international business, and strategic management. Education: PhD, University of Pittsburgh, Joseph M. Katz Graduate School of Business M.A. and B.A., Keio University, Tokyo, Japan Research Focus: Globalization of venture capital and transnational technical communities Strategic responses to informal and foreign rivals in emerging markets Equity ownership dynamics in international joint ventures Technology sourcing and real options theory in MNC subsidiaries Paper Trends: Recent publications analyze competitive actions in non-market spaces, reverse technology transfer mechanisms, and equity ownership evolution in international partnerships. Common themes include cross-border knowledge flows, strategic paradoxes in outsourcing, and institutional factors shaping innovation. Scientific Awards: Waseda University Teaching Award (2016) Best paper award nominee (Academy of Management, 2016) Dean’s Discretionary Award (SUNY Buffalo, 2010) Nominated for Haynes Prize (Academy of International Business, 2010) Nominated for Best Conference Papers (Strategic Management Society, 2008) Research Projects: Current projects include large-scale data analysis of urban startup location strategies in Japan (2020-2024) and studies on multi-partner international joint ventures.

• Data science
• Machine learning
• Business analytics
• +۱۰ مورد دیگر

Masayuki Goto is a Professor in the Department of Industrial Systems Engineering, School of Creative Science and Engineering at Waseda University, Japan, where he has served since 2011. He earned his Doctor of Engineering from Waseda University and leads research integrating statistical science, machine learning, information theory and management engineering to solve business-analytics, marketing, AI ethics and industrial optimisation problems. Education: Doctor of Engineering, Waseda University Research Interests: His work spans data science, machine learning, business analytics, statistical learning theory, generative AI, deep neural networks, natural language processing, network analysis and information theory, with recent emphasis on trustworthy AI and synthetic data generation. Publication Trends: Over 2024-2025 his group has published extensively on deep learning for tabular data, vision-language models, recommender systems, causal inference and ethical AI, demonstrating a shift toward generative-AI-driven business analytics and interpretable models. Scientific Awards: Best Paper Award, CIE51 2024 Outstanding Paper Award, APIEMS 2023 Best Paper Award, APIEMS 2022 Best Paper Award, 20th ANQ Congress 2022 2022 PC Conference Best Paper Award Best Paper Award, JASMIN 2021 Best Paper Award, 19th ANQ Congress 2021 Encouragement Award, AAMSA 2021 IDR User Forum 2020 Enterprise & DBSJ Special Awards Best Paper Award, APIEMS 2019 Best Paper Award, ANQ Congress 2018 World CIST'18 Best Paper Award Best Paper Award, ANQ Congress 2017 JSPS Grant Review Commendation 2016 JIMA Distinguished Research Award 2015 Best Paper Award, Journal of JIMA 2015 IPSJ National Convention Best Paper Awards (2015 & 2012) Advising & Grants: He has mentored a large cohort of graduate students evidenced by co-authorship on over 100 recent papers. He has served as PI on numerous JSPS KAKENHI grants and industry projects focused on data-driven management, AI marketing and ethical AI frameworks. Labs & Teams: He heads the Goto Laboratory within the Waseda Institute for Advanced Study, leading interdisciplinary projects on business AI, data-ethics education and industrial optimisation.

• Artificial Intelligence
• Multi-agent systems
• Machine learning
• +۵ مورد دیگر

Toshiharu Sugawara is a Professor in the Department of Computer Science and Engineering at Waseda University's Faculty of Science and Engineering, School of Fundamental Science and Engineering, a position he has held since April 2007. With a Ph.D. in Engineering from Waseda University, his research spans multiple domains in artificial intelligence and multi-agent systems, maintaining active collaborations across international institutions and contributing significantly to the field through numerous publications and awards. Dr. Sugawara received his BS and MS degrees in Mathematics from Waseda University in 1980 and 1982, respectively, followed by his Ph.D. in 1992. Before joining Waseda University as faculty, he worked as a Research Scientist at NTT Laboratories from 1982 to 2007, with a visiting researcher position at the University of Massachusetts at Amherst in 1992-1993. He also held part-time lecturer positions at University of Electro-Communications (2003-2007), Waseda University (2004-2006), and Tokyo University of Agriculture and Technology (1990-1991). His research interests focus on artificial intelligence with particular expertise in multi-agent systems, machine learning, cooperation and coordination mechanisms, soft computing, computational social science, and social informatics. His work bridges theoretical foundations with practical applications in network management and information systems. Recent publications demonstrate a strong trajectory toward interpretable multi-agent reinforcement learning, efficient path planning algorithms, and modeling social behaviors in complex networks. His research group has made significant contributions to multi-agent path finding, cooperative task execution, and understanding virtual economies in social media platforms. Dr. Sugawara has received numerous prestigious awards including multiple Best Paper Awards at JAWS conferences (2014, 2015, 2018), ACM SAC 2015, and various research paper awards from Japanese academic societies. His work on multi-agent systems has been consistently recognized for its theoretical rigor and practical impact. As an advisor, Dr. Sugawara has mentored numerous students who have become prominent researchers in their own right, with many co-authoring papers that have received awards. His laboratory maintains strong collaborations with industry partners, particularly in the areas of network management and intelligent systems. Current research directions include developing interpretable multi-agent reinforcement learning frameworks, optimizing multi-agent coordination in constrained environments, and analyzing social dynamics in virtual economies.

• Neural Networks
• Genetic Algorithms
• System Identification and Control
• +۷ 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.

• Supply Chain Management
• Complex Networks
• Agent-based Modeling
• +۷ مورد دیگر

Tomomi Kito is a Professor (non-tenure-track) at the Faculty of Science and Engineering, Graduate School of Creative Science and Engineering, Waseda University. She previously held positions as Associate Professor at Waseda University (2018-2023), Assistant Professor at University of Tsukuba (2015-2018), Senior Research Fellow at University of Oxford's Cabdyn Complexity Center (2013-2015), and Assistant Professor at The University of Tokyo (2012-2015). Dr. Kito earned her Ph.D. in Engineering from The University of Tokyo. Her academic journey includes research positions at prestigious institutions including University of Oxford's Saïd Business School (2008-2011) and The University of Tokyo's Research into Artifacts, Center for Engineering (2008). Dr. Kito's research focuses on the intersection of complex systems, supply chain management, and business strategy. Her work employs network science and agent-based modeling to understand the emergent properties of industrial ecosystems, particularly in the automotive sector. She investigates how firm strategies, product characteristics, and geographic factors shape supply network structures and their resilience. Her current research explores the heterogeneity of supply networks, corporate portfolio strategies, and urban transportation networks using big data analytics and network science approaches. Her extensive publication record demonstrates a consistent focus on understanding supply network complexity through empirical analysis of real-world data. Dr. Kito's work bridges theoretical network science with practical business applications, particularly in manufacturing and automotive industries. She has developed methodologies for analyzing industrial clusters, supply network resilience, and firm interdependencies using complex network theory. Dr. Kito has secured multiple research grants from Japanese funding agencies including the Japan Society for the Promotion of Science and Ministry of Education, Culture, Sports, Science and Technology. Her current projects include 'Modeling and empirical analysis of emergent principles of diversity and heterogeneity in social networks' and 'Development of a general-purpose dynamic model of supply networks and its verification by simulation.' She actively supervises graduate students through various seminars and thesis guidance in Strategic Management for Value Creation and Management Design at Waseda University's Graduate School of Creative Science and Engineering. Her teaching portfolio includes courses on Production Management, Global Production Systems, and Business Design.

• Applied Probability
• Operations Research
• Computational Biology
• +۴ 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 .

• Acoustic Signal Processing
• Blind Source Separation
• Digital Signal Processing
• +۶ مورد دیگر

Shoji Makino is a Professor at Waseda University's Graduate School of Information, Production and Systems. He has held academic and research positions at institutions such as the University of Tsukuba and NTT Communication Science Laboratories. His work spans acoustic signal processing, blind source separation, and adaptive filtering. Education: Ph.D., Tohoku University (1993.03) Mechanical Engineering, Tohoku University Graduate School of Engineering (1979.04–1981.03) Engineering, Tohoku University Faculty of Engineering (1975.04–1979.03) Research Interests: His research focuses on acoustic signal processing for speech and audio, including blind source separation (BSS) , beamforming , and adaptive filtering . He pioneered methods for solving permutation alignment in frequency-domain BSS and developed geometrically constrained ICA techniques. Scientific Awards: Hoko Award (2018.10, Hattori Hokokai Foundation) Outstanding Contribution Award of the Institute of Electronics, Information, and Communication Engineers (2018.06) IEEE Signal Processing Society Best Paper Award (2014.01) IEEE Fellow (2004.01) IEICE Achievement Award (1997.05) Committee Memberships: He has served as Chair of the IEEE CAS Society's Blind Signal Processing TC, General Chair of IEEE WASPAA2007, and Associate Editor of IEEE Trans. SAP. He is actively involved in EURASIP, APSIPA, and the Acoustical Society of Japan.

• Medical Anthropology
• Psychiatry
• Mental Health
• +۷ مورد دیگر

Professor Takuya Tsujiuchi is a distinguished psychiatrist and medical anthropologist at Waseda University's Faculty of Human Sciences, where he has served as Professor since 2016. He is the Director of the Waseda Institute of Medical Anthropology on Disaster Reconstruction (WIMA), which he established in 2014. Dr. Tsujiuchi also holds positions at Hamamatsu University School of Medicine as a Lecturer of Medical Anthropology and is a board-certified specialist physician with The Japanese Society of Psychosomatic Medicine. His work bridges clinical psychiatry with cultural anthropology, focusing on the human impact of disasters. Dr. Tsujiuchi earned his Medical Doctor license from Hamamatsu University School of Medicine in 1992, followed by a Ph.D. in Medicine (Stress sciences and Psychosomatic medicine) from the University of Tokyo in 1999. He further expanded his expertise by studying Cultural Anthropology at Chiba University's Graduate School of Social Sciences and Humanities in 2004. His interdisciplinary background uniquely positions him to address complex health issues from both clinical and cultural perspectives. Tsujiuchi's research interests focus on the intersection of medical anthropology and disaster recovery, particularly examining the mental health impacts of the Fukushima nuclear disaster. His work explores PTSD, social determinants of health, structural violence, and community rebuilding after disasters. He has pioneered approaches that integrate narrative-based medicine with traditional psychiatric care, emphasizing the importance of listening to survivors' stories. His research spans cultural anthropology, psychiatry, psychosomatic medicine, and social medicine, with particular attention to how social factors influence mental health outcomes in disaster contexts. Analysis of Tsujiuchi's recent publications reveals a consistent focus on long-term disaster recovery, especially regarding the Fukushima nuclear accident. His work demonstrates an evolution from immediate post-disaster mental health assessment to deeper examinations of structural issues affecting evacuees. A significant trend in his research is the emphasis on youth perspectives and intergenerational trauma following disasters. He increasingly incorporates narrative medicine approaches, highlighting the importance of listening to survivors' stories as part of the healing process. His work also examines the social determinants of health among evacuees, including housing conditions, employment status, and social networks. Society's Incentive Award (2021) from the Japanese Society for Traumatic Stress Studies Takagi Encouragement Award (2018) from Japan Society of Acupuncture and Moxibustion Body Disease and Anxiety/Depression Research Group Award (2014) Social Pharmacy Award (2013) Ishikawa Memorial Award from the Japanese Society of Psychosomatic Medicine (1997) for his research on psychosomatic problems after the Great Hanshin Earthquake Professor Tsujiuchi has been instrumental in establishing interdisciplinary collaborations to address disaster recovery. He founded and directs the Waseda Institute of Medical Anthropology on Disaster Reconstruction (WIMA), which brings together researchers from diverse fields to study post-disaster recovery. His work with the Shinsai Shien Network Saitama (SSN) has created practical support systems for Fukushima evacuees. Tsujiuchi also maintains international connections, having served as a Research Fellow at Harvard Program in Refugee Trauma at Harvard Medical School and Massachusetts General Hospital in 2013. His approach emphasizes community-based care and the importance of social capital in recovery processes.

• Environmental Economics
• Sustainable Development
• Disaster Recovery Research
• +۳ مورد دیگر

Professor Shunji Matsuoka is a distinguished academic at Waseda University's Faculty of International Research and Education (Graduate School of Asia Pacific Studies), where he serves as Director of both the Waseda Resilience Research Institute (WRRI) and the Fukushima Hirono Future Creation Research Center. With extensive expertise in environmental economics, disaster recovery, and international development, Professor Matsuoka has established himself as a leading scholar addressing some of the most pressing sustainability challenges of our time. Professor Matsuoka's academic journey began with his PhD from Hiroshima University after withdrawing from Kyoto University's Graduate School of Economics in 1988 with study certification. His career progressed from Hiroshima University, where he served as Lecturer at the Faculty of Integrated Arts and Sciences and later as Professor at the Graduate School of International Cooperation Studies, to his current position at Waseda University since April 2007. His research interests span Environmental Economics , Sustainable Development , Disaster Recovery , and International Development Assistance , with particular focus on the intersection of policy, society, and environmental challenges. Professor Matsuoka's work on nuclear policy and the Fukushima disaster has made significant contributions to risk governance frameworks. His innovative approach integrates social acceptance theory with environmental policy analysis, creating new methodologies for understanding community resilience against complex disasters. His research demonstrates exceptional interdisciplinary integration across economics, political science, and environmental studies. Professor Matsuoka's 15 most recent publications reveal an evolution from international development cooperation and environmental economics in Asia to contemporary focus areas including nuclear policy, social innovation, and Fukushima disaster lessons. His research consistently examines institutional mechanisms affecting environmental governance across multiple scales, from local communities to international agreements. The interdisciplinary nature of his work bridges theoretical frameworks with practical policy applications. His professional recognition includes the Asian Economic Research Association's Outstanding Paper Award (2000) , reflecting the quality and impact of his scholarly contributions. Professor Matsuoka has secured substantial research funding from prestigious sources including JSPS Grant-in-Aid for Scientific Research and Nippon Life Insurance Foundation Environmental Research Grant. His research projects span environmental impact assessment, nuclear waste disposal social acceptance, sustainable city development, and climate change adaptation. As Director of WRRI, he oversees interdisciplinary research initiatives focused on building societal resilience against complex disasters, fostering collaboration between academics, policymakers, and community stakeholders. Through his leadership of the Fukushima Hirono Future Creation Research Center, Professor Matsuoka transforms disaster lessons into practical frameworks for recovery and prevention. His 'dialogue spaces' research examines how science, politics, and society can collaboratively address 'difficult problems,' with particular focus on boundary knowledge workers who bridge different domains of expertise. His work on social acceptance models has significantly advanced understanding of how controversial environmental technologies can gain community support.

Hideyuki Suzukiمشاهده پروفایل

استاد

• Nonlinear Dynamics
• Hybrid Systems
• Many-Body Dynamics
• +۵ مورد دیگر

Hideyuki Suzuki is a Professor at the Department of Information and Physical Sciences , Graduate School of Information Science and Technology , Osaka University , where he has been employed since April 2016. His research spans nonlinear dynamics , hybrid systems , and many-body dynamics , with applications to power systems , brain modeling , and epidemic networks . 2001 : Ph.D. in Mathematical Engineering and Information Physics, University of Tokyo 1998 : M.Eng. in Mathematical Engineering and Information Physics, University of Tokyo 1996 : B.Sc. in Mathematics, University of Tokyo His research interests focus on nonlinear dynamical systems , particularly those with discontinuities or large-scale interactions , such as chaotic billiards , hybrid systems , and spatio-temporal chaos . He explores computational applications in machine learning (e.g., chaotic Boltzmann machines ), epidemiology (e.g., vaccine allocation models ), and power grid stability . The 15 most recent articles highlight his work in photonic computing , nonlinear sampling algorithms , and chaotic dynamics in engineering and biology . Key trends include interdisciplinary applications of nonlinear mathematics to renewable energy , neuroscience , and epidemic spread . Scientific awards include: 2022 Osaka University Prize 2018 JSIAM Best Paper Award for Hamiltonian Monte Carlo (2017) He leads the Nonlinear Mathematics Course laboratory, which accepts graduate and undergraduate students. His team investigates hybrid dynamical systems , chaotic computation , and real-world modeling in fields like traffic dynamics and epidemic networks . Research is supported by grants from JST CREST and ALCA-Next programs.

• Financial Accounting
• Earnings Restatements
• Accounting Discretion
• +۵ مورد دیگر

Masashi Okumura is Professor at Waseda University’s School of Commerce (Faculty of Commerce) where he has taught since 2006. Holding a Doctor of Commerce from the same university, he specialises in empirical accounting research, focusing on earnings restatements, accounting discretion, disclosure strategy, and the capital-market effects of digital reporting technologies such as XBRL. Education: Doctor of Commerce, Waseda University Master of Commerce, Waseda University Bachelor of Commerce, Waseda University Research Interests: Professor Okumura’s work straddles financial accounting and capital-markets research. He investigates why firms restate earnings, how investors react, and how disclosure timing and complexity affect liquidity and pricing. Recent projects explore digital technology’s impact on accounting information quality. Publication Trends: Across more than 60 refereed articles he repeatedly examines earnings restatements, disclosure behaviour, IFRS adoption motives, and the economic consequences of accounting choice. Studies published in 2022-23 utilise XBRL data to link financial-statement complexity to intraday bid-ask spreads and post-announcement drift. Scientific Awards: NOMURA Award (Special Prize) 2025 Japan Disclosure Research Association Book Award 2017 Business Analysis Association Book Award 2014 Ota-Kurosawa Award 2014 Vernon Zimmerman Best Paper Award 2000 Grants & Leadership: He currently leads a JSPS KAKENHI project (2022-25) on the capital-market and managerial impacts of earnings restatements. He served as Editor-in-Chief of the Japan Accounting Association’s journal and, since April 2024, as President of the Japan Accounting & Economic Association. Labs & Teams: Okumura heads the Financial Reporting & Analysis research group at Waseda’s Research Institute of Business Administration and mentors graduate students conducting archival accounting research.