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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
• +6 more

Hiroki Iwamoto is an Assistant Professor at Waseda University's School of Creative Science and Engineering, Department of Industrial & Management Systems Engineering since 2023. Previously, he held research and teaching positions at Keio University and Tokyo Keizai University. His academic work bridges Business Administration, Social Systems Engineering, and Statistical Science with applications in Accounting. Education: Ph.D. in Engineering (2021, Keio University) Research Interests: Management Strategy Human Resource Management Creating Shared Value (CSV) Statistical Quality Control Business Analytics Recent Research Trends: Focus on advanced statistical methods like Mahalanobis-Taguchi Systems, DEA-R models, and SMOTE for small-sample anomaly detection. His work connects quality management with corporate social responsibility and human capital analytics. Scientific Awards 22th Asian Network for Quality Best Paper Award (2024) 21th Asian Network for Quality Best Paper Award (2023) 20th Asian Network for Quality Best Paper Award (2022) 2015 Japan Academy of Management Information Student Award Teaching: Delivers courses on Business Data Analysis, Multivariate Analysis, and Science/Engineering Literacy. Professional memberships span Japanese Society of Applied Statistics, Japan Industrial Management Association, and Bayesian SEM research communities.

• Business Administration
• Social Systems Engineering
• Statistical Science
• +1 more

Takahiro Uchiya serves as Professor at Nagoya Institute of Technology, holding dual appointments in the Department of Information Engineering within the Faculty of Engineering and the Information Technology Center. His academic leadership spans agent-oriented knowledge engineering and intelligent informatics, with recent focus on disaster response robotics and multi-agent systems development. Uchiya completed his academic foundation at Tohoku University through a rigorous progression: Bachelor of Engineering, Faculty of Engineering (1999) Master of Information Science, Graduate School of Information Science (2001) Doctor of Information Science, Graduate School of Information Science (2004) His research centers on agent-oriented knowledge representation, problem solving, and acquisition techniques, with significant extensions into cyber society software platforms and social knowledge applications. Recent investigations reveal a pronounced shift toward practical disaster management solutions, including robot-guided evacuation systems and BLE-based positioning technologies. This trajectory demonstrates consistent innovation in translating theoretical multi-agent frameworks into real-world emergency response tools. Uchiya's scientific contributions have earned recognition including the BWCCA2024 Best Paper Award and IEEE CES West Japan Chapter Young Researcher Award. His award portfolio spans both Japanese and international venues, reflecting broad scholarly impact. Through committee roles in the Information Processing Society of Japan and Institute of Electronics, Information and Communication Engineers, Uchiya actively shapes academic discourse. His societal engagement manifests in developing voice dialogue systems for elderly care and robotics programming workshops for schoolchildren, bridging academic research with community needs through events like Science Agora 2018.

• Intelligent Informatics
• Computer Systems
• Agent-based Systems
• +3 more

Siya BAO is an Assistant Professor at Waseda University's Faculty of Science and Engineering, focusing on quantum computing applications in combinatorial optimization and geospatial information processing. Currently affiliated with the Green Computing Systems Research Organization, her work bridges theoretical computer science with practical implementations in travel planning, indoor localization, and financial forecasting. Key research interests include: Quantum Computing Geospatial Information Processing Text Mining Based on 15 recent publications, her research trajectory demonstrates: Quantum annealing solutions for multi-day trip planning Machine learning applications in financial time series analysis Advancements in smartphone-based pedestrian dead reckoning Innovations in QUBO model formulation for constrained optimization Scientific recognition includes: DICOMO 2023 Outstanding Paper Award IEEE ICSC 2020 Best Student Opponent 2017 Telecommunications Advancement Foundation Travel Aid Research activities span: Principal investigator for JSPS-funded geospatial optimization projects (2021-2024, 2024-2027) Contributing author to Springer's 'Machine Learning for Indoor Localization and Navigation' (2023) Extensive conference presentation history including IPSJ-ONE 2024 invited talk on quantum computing applications

• Quantum Computing
• Geospatial Information Processing
• Text Mining

Masato Sekine is a Professor at Waseda University's Faculty of Science and Engineering, School of Creative Science and Engineering, specializing in hydraulic engineering with a focus on urban flooding, river mechanics, and sediment transport. He holds a Doctor of Engineering degree from Waseda University and maintains an active research profile with numerous publications and ongoing projects. His research interests encompass River Engineering, Hydraulics, River Mechanics, and Hydroengineering, with particular emphasis on urban flood risk assessment, sediment transport in mixed-grain rivers, and levee stability. Sekine's work bridges theoretical hydraulic principles with practical urban flood management applications, especially in Tokyo's complex urban environment. Sekine's recent research output demonstrates a strong focus on urban flooding phenomena, with numerous papers analyzing flood processes in Tokyo's 23 wards, Kawasaki, and Yokohama during extreme rainfall events. His work examines the interactions between river systems, sewer networks, and urban infrastructure during flood events, providing critical insights for flood risk management in densely populated areas. Waseda University Teaching Award President's Award (2018) Japan Society of Civil Engineers Hydraulic Engineering Paper Award (2016) Japan Society of Civil Engineers Hydraulic Engineering Paper Award (2015) Japan Society of Civil Engineers Hydraulic Engineering Paper Award (2004) Professor Sekine leads several significant research projects including 'Reconstruction of sediment transport models on riverbeds consisting of materials ranging from clay to large gravels' (2020-2023) and 'Real-time prediction and management control of urban flood risk' (2017-2020). His work has practical applications for urban flood management systems and infrastructure design in Japan's densely populated coastal regions.

• River Engineering
• Hydraulics
• River Mechanics
• +3 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.

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

Youki Kadobayashi is a Professor at NAIST, specializing in cybersecurity and network engineering. He holds a Ph.D. in Computer Science from Osaka University. His research focuses on Internet infrastructure evolution, cybersecurity education, and standards development. He collaborates with industry and academia on projects like creating technologies for failure recovery and infrastructure co-creation. Research interests include: Internet engineering, web security, cybersecurity education standards, and privacy-preserving systems. His work addresses challenges in smart home security, federated learning for fraud detection, and secure edge computing. Publications span topics like differential privacy, federated learning frameworks, and authentication protocols. He contributes to consortia such as WIDE and organizes competitions like CDMC and Hardening Zero. His lab explores advanced cybersecurity tools and datasets.

• Internet Engineering
• Web Security
• Cybersecurity Education
• +4 more