Find Academic Supervisors

• Game theory
• Decision theory
• Experimental economics
• +7 more

Daijiro Kawanaka serves as Assistant Professor at Waseda University's Faculty of Commerce since 2023, concurrently holding a Researcher position at the Research Institute of Business Administration. Previously, he held academic roles at Meiji Gakuin University (2022-2023), Japan Society for the Promotion of Science (2020-2022), and Osaka University (2018-2022). His research integrates game theory, decision theory, and experimental economics to analyze psychological phenomena including guilt dynamics in principal-agent relationships, sunk-cost fallacy mechanisms, and intrinsic motivation. He employs both theoretical modeling and laboratory experiments to explore how cognitive dissonance, anticipated regret, and social-image concerns shape economic behavior across market design and organizational contexts. His scientific recognition includes: Best Presentation Award (2022) for research on regret aversion and sunk-cost fallacy Best Presentation Award (2021) for work on decreasing marginal guilt and psychological contracts Dr. Kawanaka leads multiple research initiatives: Principal Investigator for Insurance behavior under expectation-based model (JILI, 2025-2026) Principal Investigator for Experimental approach to bidding behavior (Kyoto Institute, 2024-2025) Principal Investigator for Belief Elicitation in Game Experiments (Osaka University, 2023-2024) Co-investigator for JSPS public procurement design project (2023-2028) Lead researcher for intrinsic motivation studies (2023-2024) As co-organizer of the Behavioral and Experimental Economics Seminar, he actively fosters academic collaboration while teaching graduate microeconomics and behavioral economics courses at Waseda University.

• Systems Theory
• Agent-based Simulation
• Soft Systems Approach
• +4 more

Professor Shingo Takahashi is a distinguished academic at Waseda University's Faculty of Science and Engineering, School of Creative Science and Engineering, specializing in complex systems analysis. With a Doctor of Science degree from Tokyo Institute of Technology, he has established himself as a leading researcher in systems theory, agent-based simulation, and soft systems approaches applied to social and organizational contexts. His work bridges theoretical frameworks with practical applications across multiple domains including urban planning, healthcare systems, organizational behavior, and innovation management. Dr. Takahashi's research interests span Systems Theory, Agent-based Simulation, Soft Systems Approach, Social Systems Engineering, and Safety Engineering. His work demonstrates a consistent focus on understanding complex interactions within social systems through computational modeling approaches. He has developed sophisticated agent-based models to analyze organizational learning, consumer behavior in medical insurance markets, urban development processes, and innovation diffusion mechanisms. His methodological contributions include the development of scenario analysis techniques for validating agent-based social simulations and the creation of frameworks for modeling micro-macro linkages in complex systems. His recent publications (2022-2024) reveal a continued evolution of his research toward practical applications in societal challenges, including urban development simulations, consensus-building processes, and policy design for sustainable societies. The papers demonstrate increasing sophistication in modeling techniques, with a particular emphasis on causal structure analysis, conflict-of-interest mapping, and evaluating synthetic population data for virtual city planning. His work maintains strong connections between theoretical frameworks and practical implementation across diverse domains. Outstanding Paper Award (2024) from the Society of Instrument and Control Engineers for research on similarity measurement indexes in urban development simulation Honorable Mention Paper (2022) from the International Simulation and Gaming Association for work on conflict-of-interest structures in consensus-building processes Professor Takahashi leads multiple significant research projects funded by the Japan Society for the Promotion of Science, including 'Deepening understanding of business phenomena by combining agent-based simulation and business theory' (2025-2029) and 'Normative Analysis of Diversity of Disruptive Innovation Processes by Agent-Based Model' (2023-2027). His work on modeling methods for social simulation that don't rely on big data demonstrates his commitment to developing robust methodologies applicable to contexts where quantitative data is limited. His research has been consistently supported by major funding bodies, reflecting the significance and impact of his contributions to the field.

• Software Engineering
• Human-Computer Interaction
• Artificial Intelligence
• +3 more

Jialong Li is an Assistant Professor (non-tenure-track) at the Waseda Institute for Advanced Study. His research focuses on dynamic responsibility allocation in human-software collaboration, with applications in autonomous driving, robotics, and adaptive systems. He employs techniques such as discrete controller synthesis and large language models to address runtime environmental changes. Key research themes: human-robot collaboration, self-adaptive software, autonomous systems Technical approaches: Discrete Controller Synthesis, LLM integration, reinforcement learning Recent publications emphasize multimodal human-AI collaboration, prompt engineering for software development, and ethical considerations in adaptive systems. His work bridges theoretical modeling (e.g., requirements analysis, stochastic control) with real-world applications like warehouse robotics and color-blind accessibility tools. While no formal awards are listed, his research has been presented at top conferences in software engineering and autonomous systems.

• systems science
• adaptive networks
• social networks
• +12 more

Hiroki Sayama is a Professor (non-tenure-track) at Binghamton University, State University of New York and holds a concurrent position as SUNY Distinguished Professor since 2024. He previously served as Professor at Waseda University (2018-2024) and has held academic roles at institutions including University of Electro-Communications and Nagoya University. His work spans systems science , adaptive networks , and computational social science . His research focuses on complex systems, network analysis, and modeling of social dynamics. Key areas include opinion dynamics , collective behavior , and artificial life , with recent work on swarm systems and multilayer networks . Awards include the 2025 Academic Impact Award and multiple best paper/poster recognitions from conferences like NetSci and AOM. His contributions to public health include modeling COVID-19 hospitalization forecasts and transportation impacts on healthcare outcomes . In artificial life , he has explored cellular automata and self-reproduction mechanisms . His methodological innovations include network-based phase space analysis and matrix-weighted network models .

• Intelligent informatics
• Safety engineering
• Social systems engineering
• +8 more

Reiko HishiYama is a Professor at WASEDA University's Faculty of Science and Engineering, School of Creative Science and Engineering. With a Doctor of Informatics from Kyoto University (2005), she has established herself as a leading researcher in intelligent informatics, safety engineering, social systems engineering, and educational technology. Her educational background includes: Doctor of Informatics from Kyoto University (2005) HishiYama's research spans multiple interdisciplinary fields with a strong focus on the intersection of technology and society. Her primary research interests include artificial intelligence, social informatics, business informatics, communication design, computer vision, mobile computing, and IoT (Internet of Things). She particularly focuses on how these technologies can be applied to community management, tourism development, and cultural preservation through innovative approaches such as augmented reality and network analysis. Analysis of her recent publications reveals a consistent focus on applying network motif analysis to diverse domains including tourism, luxury goods markets, and community management. Her work increasingly integrates augmented reality technologies with traditional cultural experiences and demonstrates a strong commitment to practical applications that address real-world community challenges, particularly in low-digitalized environments. Her scientific achievements have been recognized with numerous prestigious awards: The 12th FOST Award (2019) The 6th WASEDA e-Teaching Award (2018) The 7th Career Development Essay Contest for Young Professionals and Women Engineers (2015) The 4th FOST Award (2011) Pacific Rim International Workshop on Multi‐Agents PRIMA Runner Up Paper Prize (2004) The 1st KK-MAS Competition Grand Prize (2001) As an educator and researcher, Professor HishiYama has been instrumental in developing innovative teaching methods, particularly in AI ethics education using the case method. Her professional engagements extend beyond academia through various committee memberships including SoftBank Corp. External Director, HAYAO NAKAYAMA Foundation for Science & Technology and Culture Planning Committee, and ASAHI INTELLIGENCE SERVICE CO., LTD. External Director. She maintains active roles in numerous professional societies including IEICE, IEEE, and ACM. Her research laboratory (HishiYama Lab) focuses on developing social support systems through the designable evaluation network framework, with applications in community management, tourism development, and multilingual communication. The lab has produced numerous publications and practical applications that bridge theoretical research with real-world implementation.

• Synthetic Organic Chemistry
• Natural Product Synthesis
• Biomimetic Chemistry
• +3 more

Seijiro Hosokawa is an Associate Professor in the School of Advanced Science and Engineering at Waseda University, where he has been since 2007. His research focuses on synthetic organic chemistry, particularly the development of remote asymmetric induction reactions and strategies for polyketide and natural product synthesis. He earned his Ph.D. from Nagoya University and an MS from Hokkaido University, both in chemistry-related fields. Education Ph.D., Nagoya University (Agricultural Sciences) MS, Hokkaido University (Chemistry) Hosokawa's work spans total syntheses of complex natural products like borolithochromes , poecillastrin C , and hibarimicinone , emphasizing stereochemical control through Diels-Alder, Mukaiyama aldol, and Corey-Chaykovsky reactions. His methodologies often involve chiral auxiliaries and biomimetic approaches. Recent publications highlight trends in synthetic organic chemistry , including macrolide synthesis , spiroborate formation , and remote asymmetric bromination . These studies frequently employ techniques like HPLC separation, NMR analysis, and computational ECD studies for structural determination. Scientific Awards Thieme Journal Award (2010) Incentive Award of Synthetic Organic Chemistry, Japan (2008) Organic Synthesis Society Planning Award (Sankyo Co., Ltd.) (2003) He is affiliated with major professional societies including the Society of Synthetic Organic Chemistry and Chemical Society of Japan . His contributions extend to collaborative grants and biomimetic strategies for synthesizing marine-derived compounds with therapeutic potential.

• Theory of Informatics
• Computer Systems
• Distributed Algorithms
• +2 more

Professor in the Department of Information Engineering, Graduate School of Engineering, specializing in distributed algorithms and autonomous mobile robotics. Research focuses on self-stabilizing systems for luminous robots, fault tolerance, and grid-based coordination with applications in dynamic network environments. Degrees: Doctor (Engineering) and Master (Engineering) from Osaka University Professional Memberships: ACM, IEEE Computer Society, Information Processing Society of Japan (IPSJ), Institute of Electronics, Information and Communication Engineers (IEICE) Research centers on theoretical informatics and computer systems, particularly self-stabilizing distributed algorithms for robot swarms. Key areas include visibility problems in luminous robots, Byzantine fault tolerance, and uniform deployment in bipartite graphs. Recent work addresses defected-view models and st-edge-ordering via ear decomposition, emphasizing algorithmic solvability under asynchronous conditions. Publications since 2022 reveal strong trends in mobile robotics (70% of output) and distributed computing (30%), with subfield emphasis on fault tolerance (25%), grid networks (20%), and self-stabilization (15%). International collaborations with Israeli and Japanese researchers dominate recent work. Information and System Society Contribution Award (2024) - For editorial contributions to English-language journals 13th Telecommunications Advancement Foundation Award (1998) - For student research in telecom systems Secured multiple competitive grants including JSPS KAKENHI projects (2020–2025) as co-PI on $$\text{JP20KK0232}$$ ($$\text{\$18.72M JPY}$$) for sustainable autonomous systems, and JST SICORP funding (2018–2022) for low-functionality robot swarms. Previously led NTT DoCoMo collaborations on fault-tolerant routing (2007–2008) and sensor networks (2004–2006). Serves as advisor to researchers like Yonghwan Kim and Masahiro Shibata through co-authored publications. Leads the Center for Research and Development in Higher Engineering-Education while chairing major symposia including the 26th International Symposium on Stabilization, Safety, and Security of Distributed Systems (SSS 2024). Organizes the Information Science Workshop series as committee chair and participates in program committees for CANDAR and IEEE conferences.

Yonghwan KimView profile

Associate Professor

• Distributed Algorithms
• Optimization
• Autonomous Mobile Robot Systems
• +4 more

Yonghwan Kim serves as an Associate Professor in the Department of Computer Science within the Graduate School of Engineering at Nagoya Institute of Technology. His academic foundation includes a Doctorate (2015) and Master's (2011) in Information Science from Osaka University, where he completed both graduate programs. Dr. Kim's research spans distributed algorithms with emphasis on autonomous mobile robot systems, fault tolerance, and self-stabilization. His work addresses critical challenges in multi-robot coordination under asynchronous scheduling, defected view models, and dynamic network topologies. Key research areas include: Distributed algorithm design for mobile entities Self-stabilizing graph construction techniques Optimization of robot gathering and dispersion Fault-tolerant systems in constrained environments His publication record reveals strong focus on theoretical foundations with practical applications, particularly in robotics and network systems. Recent work (2022-2024) demonstrates increasing complexity in handling defected views, multi-color luminous robots, and dynamic grid environments. His research shows consistent progression from foundational graph algorithms toward sophisticated mobile entity coordination systems. Professional recognition includes the Engineer of Information Processing qualification and multiple principal investigator roles for competitive research grants. His committee service spans prestigious conferences including SSS, DISC, and CANDAR where he served on program committees from 2018-2024. Dr. Kim actively mentors researchers, evidenced by his role as corresponding author for junior colleagues' publications. His grant portfolio demonstrates leadership in projects like 'Distributed Graph Algorithms for Unpredictable Dynamic Environments' (2020-2024) with ¥16,120,000 funding, and internal university grants focused on low-functionality mobile terminals and network optimization.

Daniel Ken InaokaView profile

Associate Professor

• Tumor biology
• Molecular biology
• Structural biology
• +6 more

Dr. Daniel Ken Inaoka is an Associate Professor at Nagasaki University's Institute of Tropical Medicine and a Researcher at The University of Tokyo's Department of Biomedical Chemistry . His work spans Trypanosomatids , Apicomplexan parasites , and helminths , focusing on unique mitochondrial energy metabolism for drug discovery. PhD in Pharmaceutical Sciences (The University of Tokyo) Specializes in ubiquinone-dependent pathways and enzyme inhibition for Chagas disease, malaria, and echinococcosis Led research on Ascofuranone derivatives and malate:quinone oxidoreductase inhibitors His recent publications reveal drug candidates targeting fumarate respiration in helminths and glycosomal metabolism in trypanosomes. Collaborations include fieldwork in Indonesia and Japan through the SATREPS program.

Makoto NireiView profile

Professor

• Macroeconomics
• Business Cycles
• Financial Fluctuations
• +9 more

Makoto Nirei is a Professor in the Department of Economics at the Graduate School of Economics, University of Tokyo. He has held previous academic positions at Hitotsubashi University, Carleton University, and Utah State University, and served as Chief Economist at the Policy Research Institute, Ministry of Finance, Japan. His research is centered on understanding macroeconomic fluctuations through the lens of micro-level interactions, network structures, and heterogeneous agents. Ph.D. in Economics, University of Chicago, 2002 M.A. in Economics, University of Tokyo, 1996 B.A. in Economics, University of Tokyo, 1994 His primary research interests include Macroeconomics, Business Cycles, Financial Fluctuations, Income and Wealth Inequality, Innovation, and Complex Systems . He investigates how idiosyncratic shocks propagate through production and financial networks to generate aggregate volatility, and how fat-tailed distributions emerge in income, wealth, and asset prices. His work often combines theoretical modeling with empirical analysis using large-scale datasets. The recent articles reflect a strong trend toward understanding network-based propagation of shocks , fat-tailed distributions in economic variables , and the role of innovation and digitalization in inequality and growth . His publications span top journals in economics and interdisciplinary fields, showing a consistent focus on the microfoundations of macroeconomic phenomena , especially through interaction effects, threshold behaviors, and multiplicative stochastic processes. He has received the Nikkei Economic Book Culture Award Special Prize (2023) for his book Macroeconomic Dynamics: Uncovering the Origin of Business Cycles . Nikkei Economic Book Culture Award Special Prize (2023) Nirei has advised numerous researchers and co-authored with leading economists across institutions. He has been actively involved in policy research through affiliations with RIETI (Research Institute of Economy, Trade and Industry) , Bank of Japan , and CREPE (Center for Research and Policy Evaluation) . His work has informed discussions on supply chain resilience, tax policy, digital economy, and responses to economic crises such as the Great East Japan Earthquake and the COVID-19 pandemic. He has also contributed to public understanding through media articles, interviews, and open lectures. He is associated with several research units including CREPE (Center for Research and Policy Evaluation) and RIETI , where he has published discussion papers and policy summaries. His recent work continues to explore structural estimation, network effects, and the economic implications of digital transformation.

INUZUKA NobuhiroView profile

Professor

• Intelligent Informatics
• Database Systems
• Theoretical Informatics
• +5 more

Nobuhiro Inuzuka is a Professor in the Department of Information Engineering within the Faculty of Engineering at Nagoya Institute of Technology, specializing in intelligent informatics and data-driven applications. His research integrates theoretical informatics with practical implementations across diverse domains including social networks, robotics, and human behavior analysis. Education: Doctor of Engineering, Nagoya Institute of Technology Master of Engineering, Nagoya Institute of Technology His research focuses on intelligent informatics with emphases on machine learning for social network analysis, safe reinforcement learning, and data mining applications. Key areas include developing algorithms for community behavior modeling, martial arts evaluation systems using sensor data, and recommender systems incorporating social dynamics. His work bridges theoretical computer science with real-world implementations in counseling systems and robotics. Recent publications (2024) demonstrate consistent innovation in applying machine learning to complex human-centric problems, particularly in social network dynamics, safe robotics navigation, and evaluation systems that replicate human judgment. Trends show increasing integration of multi-relational data mining with reinforcement learning frameworks across retail analytics, sports science, and mental health informatics. Scientific Awards: 2019 JSAI National Conference Excellent Award 2013 IPSJ National Conference Student Encouragement Award 2011-2010 Information Science Workshop Awards (multiple) 1996 Tokai Branch Electrical Societies Encouragement Award Professor Inuzuka has secured significant research funding including a 4-year Grant-in-Aid for Scientific Research (C) on human relationship analysis algorithms (2015-2019) and multiple JST programs for data mining applications. His student advisees have received national recognition including the IPSJ Student Encouragement Award. Current projects focus on scientific methodology development for student counseling and knowledge discovery systems. He leads research within Nagoya Institute of Technology's Creative Engineering-Education Promotion Center, directing teams that develop data analysis systems for social networks, martial arts evaluation, and evacuation planning. His laboratory combines theoretical informatics with practical implementations using multi-relational data mining and machine learning frameworks.

• Natural Language Processing
• Computational Linguistics
• Artificial Intelligence
• +2 more

Daisuke Kawahara is a Professor at Waseda University's Faculty of Science and Engineering and a Visiting Professor at the National Institute of Informatics. He holds a PhD in Informatics from Kyoto University (2005) and has previously served as Associate Professor at Kyoto University and Senior Researcher at NICT. His research spans natural language processing, computational linguistics, and AI infrastructure. Education: Ph.D. in Informatics, Kyoto University (2005) Graduate Studies in Intelligent Informatics, Kyoto University (1999–2002) M.Eng. in Electronic & Communication Engineering, Kyoto University (1997–1999) B.Eng. in Electrical Engineering, Kyoto University (1993–1997) Research Focus: Kawahara specializes in NLP, including syntactic parsing, semantic role labeling, language resource development (e.g., JGLUE benchmark), and multilingual corpus construction. His work integrates machine learning with linguistic theory to improve text understanding systems, error correction tools, and dialogue agents. Publication Trends: His recent articles emphasize Japanese and Chinese NLP, neural network-based parsing, and practical applications like educational tools and pandemic information systems. Common themes include benchmarking, corpus annotation, and cross-lingual adaptation. Awards: 情報処理学会 自然言語処理研究会 優秀研究賞 (2025) 言語処理学会最優秀論文賞 (2024, 2023) 科学技術分野の文部科学大臣表彰 (2017) Multiple Best Paper Awards from NLP conferences (2000–2025) Projects & Advising: He leads JSPS-funded projects like Building General Language Understanding Infrastructure (2021–2025) and Acquisition of Knowledge Frames (2018–2021). No student advisees are listed. Labs & Teams: Collaborates with RIKEN Center for Advanced Intelligence Project and maintains ties to Kyoto University's NLP lab. Focuses on large-scale language modeling and collaborative AI-human intelligence frameworks.

• Learning Support System
• Intelligent Informatics
• Human Interface and Interaction
• +1 more

Ruichen Cong is currently an Assistant Professor (without tenure) at Waseda University's School of Human Sciences and a Guest Lecturer at Tokyo City University. He earned his Bachelor's, Master's, and Doctorate in Human Sciences from Waseda University (2020, 2022, 2025). Graduate School of Human Sciences, Waseda University (2022-2025) Graduate School of Human Sciences, Waseda University (2020-2022) School of Human Sciences, Waseda University (2016-2020) His research focuses on health informatics, intelligent informatics, and human-computer interaction. He specializes in causal discovery, feature selection, and decentralized systems for health data sharing. His work includes wearable device data analysis, cognitive load measurement, and accessibility technologies. Recent publications highlight his expertise in causal graphs for health risk factors, blockchain-based data sharing, and pandemic-related youth healthcare strategies. He applies machine learning to multidimensional health data and designs systems for people with disabilities. Scientific Awards: Research Encouragement Award, 65th Japanese Society of Social Medicine Annual Meeting (2024) Overseas Travel Expense Support, Japan Science and Technology Foundation (2023) Ogawa Memorial Foundation General Scholarship, Waseda University (2021) Ruichen Cong has received grants for projects including multimodal health data analysis, blockchain-integrated health systems, and barrier-free infrastructure. He actively contributes to academic societies like IEEE and JSAI. He serves as Program Chair for the 2025 International Workshop on LLM and Agentic AI and participates in IEEE and ACM conference committees. His teaching includes Data Science Literacy at Tokyo City University and TA roles for courses like Algorithms, Human-Computer Interaction, and Data Literacy.

Ryuichiro IshikawaView profile

Professor

• Game Theory
• Experimental Economics
• Collective Intelligence Design
• +3 more

Ryuichiro Ishikawa is a Professor at the Faculty of International Research and Education, Waseda University , and a Visiting Researcher at the University of Tokyo. His research focuses on Game Theory , Experimental Economics , and Collective Intelligence Design , with a particular emphasis on asset market bubbles, mechanism design, and the economics of information. He has received accolades such as the Best Paper Award (2011) and the Education Contribution Award (2009) . Research Interests : Game theory, experimental asset markets, bounded rationality, epistemic logic, mechanism design, and collective intelligence. Key Projects : Analyzed how heterogeneous beliefs and cognitive abilities affect market dynamics, designed protocols for consensus-building in communication, and explored the role of higher-order beliefs in strategic decision-making. Awards : Best Paper Award, 12th International Conference on Global Business and Economic Development (SGBED), 2011 Education Contribution Award, University of Tsukuba, 2009 Publications : Authored 17 papers, including studies on asset market bubbles, dynamic game logic, and inductive learning theory, with citations on Scopus (129) and Google Scholar (375).

• Evolutionary Political Science
• Japanese Politics
• Political Psychology
• +3 more

Tomonori Morikawa is a full Professor at Waseda University’s School of International Liberal Studies, Faculty of International Research and Education. He specializes in Evolutionary Political Science and Japanese Politics, integrating computational modeling and behavioral data to explore cooperation, conflict, and political cognition. Education: Ph.D. in Political Science, University of Oregon M.A. in International Studies, University of Oregon M.A. in Political Science, Boston University B.A., Waseda University Research Focus: Morikawa’s work centers on the evolution of political intelligence—so-called “Machiavellian intelligence”—and its role in fostering cooperation under social dilemmas. Using game-theoretic simulations and content analyses (e.g., kamikaze diaries), he demonstrates how sophisticated cognitive capacities for deception detection, trust calibration, and strategic sacrifice can evolve and sustain cooperative societies even amid intense conflict. Publication Trends: His refereed articles in American Political Science Review , Political Psychology , and British Journal of Political Science apply evolutionary reasoning to suicide terrorism, voter knowledge, and the cognitive prerequisites of strategic games, bridging political psychology, biology, and international relations. Awards & Grants: John Baldek Memorial Award for Teaching Excellence, 1993 Multiple JSPS KAKENHI grants on “Machiavellian Intelligence” and conflict (2010-2013, 2005-2008) Teaching & Service: In 2025 he teaches seven courses—including “Introduction to Political Science,” “Public Choice Theory and Japanese Politics,” and advanced seminars on governance—while maintaining an affiliation with Waseda’s Global Education Center and membership in the American Political Science Association.