Find Academic Supervisors

• Systems and Control
• Mathematical Optimization
• Cyber-Physical Human Systems
• +7 more

Yasuaki Wasa is an Associate Professor at Waseda University's Faculty of Science and Engineering, Department of Electrical and Bioengineering, where he has served since 2024. Previously, he held positions as Assistant Professor (tenured and non-tenured) at the same institution from 2019-2024, and Junior Researcher at Waseda University's Research Institute for Science and Engineering from 2017-2019. His academic journey began with Research Fellowships from the Japan Society for the Promotion of Science (2014-2017), following his doctoral studies at Tokyo Institute of Technology. Dr. Wasa earned his Ph.D. in Engineering from Tokyo Institute of Technology in 2016, after completing his Master's (2013) and Bachelor's (2011) degrees at the same institution, all in Mechanical and Control Engineering. His educational background established a strong foundation in systems and control theory that informs his current research. His research spans interdisciplinary domains at the intersection of control theory, game theory, and cyber-physical human systems. Key focus areas include mathematical optimization for dynamic systems, mechanism design for distributed decision-making, and the application of control theory to energy systems, robotics, and social dynamics. His work uniquely bridges theoretical control engineering with practical applications in sustainable energy, human-robot interaction, and societal systems, often employing game-theoretic approaches to address complex multi-agent coordination problems. Analysis of his recent publications reveals a strong trend toward integrating control theory with human factors in cyber-physical systems. His work increasingly focuses on the intersection of energy systems and human behavior, with significant contributions to net-zero energy solutions, game-theoretic approaches to resource allocation, and human-in-the-loop control systems for robotics applications. The mathematical sophistication of his work is consistently paired with practical implementation considerations. Outstanding Paper Award (2025) - Society of Instrument and Control Engineers Pioneer Award (2025) - SICE Control Division Outstanding Paper Award (2023) - Society of Instrument and Control Engineers Best Paper Award Finalist (2022) - Asian Control Conference Funai Information Technology Award for Young Researchers (2021) Waseda University Teaching Award (2024) Seiichi Tejima Doctoral Dissertation Award (2017) - Tokyo Institute of Technology Dr. Wasa actively mentors students through the Wasa Research Group (System Control Research), guiding numerous advisees who appear as co-authors on his publications. His current research is supported by multiple grants including a TEPCO Memorial Foundation Research Grant (2025-2028) on electricity market mechanisms and a JSPS Grants-in-Aid project (2023-2026) on control systems design for societal systems. His lab conducts cutting-edge research on cyber-physical human systems, with projects spanning VR-based drone swarm control, energy management systems, and human-robot cooperative transportation. The Wasa Lab maintains active collaborations with industry partners and participates in regular research camps and open house events to engage prospective students and collaborators.

• Human Robot Interaction
• Healthcare Robotics
• Wearable Sensors
• +6 more

Tamon Miyake is an Assistant Professor at Waseda University's School of Creative Science and Engineering, specializing in Human Robot Interaction and Healthcare Robotics. His research focuses on wearable sensors, muscle deformation analysis, gait training, and mixed reality systems for rehabilitation applications. Dr. Miyake received his Doctor of Engineering from Waseda University in March 2020. His primary research areas include muscle deformation sensing, gait analysis and training, mixed reality rehabilitation systems, and human-robot interaction for healthcare applications. His work bridges engineering and clinical applications, particularly in physiotherapy training and rehabilitation robotics. His research output demonstrates a strong focus on developing objective measurement systems for clinical applications, particularly in analyzing muscle deformation during physiotherapy and developing training systems that provide quantifiable metrics for skill acquisition. His recent work shows increasing integration of AI and machine learning techniques with traditional biomechanical analysis. His publications reveal a consistent research trajectory focused on improving rehabilitation outcomes through technology, with particular emphasis on gait training, muscle load analysis, and developing objective metrics for physiotherapy practice. His work spans both engineering development and clinical validation studies. Dr. Miyake has been actively involved in the IEEE Robotics and Automation Society as Co-Chair of the Student Activities Committee from 2017-2019, demonstrating his commitment to academic community building.

• Robotics
• Tactile Sensing
• Soft Robotics
• +3 more

Tito Pradhono serves as an Assistant Professor and Junior Researcher at the Future Robotics Organization under the Research Council, specializing in advanced robotics research with 34 publications and significant scholarly impact (884 Google Scholar citations, h-index 12). His work bridges hardware innovation and algorithmic development to solve critical challenges in robotic perception and interaction. His primary research focuses on tactile sensing systems and soft robotics, where he has pioneered novel sensor technologies including Halbach array-based robot skin (H-PME), interchangeable fingertip sensors (Fingertac), and low-cost proximity-force fusion systems ("Safe Skin"). These innovations enable enhanced human-robot interaction through precise force measurement, slip detection, and grasping stability prediction. His methodology consistently integrates machine learning—particularly spatio-temporal attention networks and ensemble learning—with physical sensor design to create practical, deployable solutions. Analysis of his 15 most recent publications reveals a clear trajectory toward multimodal perception systems (vision-touch fusion), geometric data augmentation techniques, and culturally contextual robotics (anime embodiment). His work demonstrates exceptional consistency in developing cost-effective, real-world applicable technologies while maintaining theoretical rigor in sensor fusion and deep learning architectures. He received the Integrated Doctoral Tuition Support Scholarship in 2015, which supported his foundational research. His scholarly impact is evidenced by sustained citation growth across Scopus (612 citations) and Google Scholar (884 citations) platforms. Dr. Pradhono's research is conducted within the Future Robotics Organization, which appears to focus on socially engaged robotics development including the darumato-3 social robot platform and culturally specific implementations like Wayang puppet theater robots with Gamelan music recognition. His work emphasizes participatory design and real-world deployment rather than purely theoretical exploration.

• Linguistics
• Educational Technology
• English Linguistics
• +4 more

Akira Morita is a Professor of English at Waseda University's Faculty of Commerce (School of Commerce). With a career spanning over three decades at Waseda University, he has progressed from Assistant Professor to his current position as full Professor. His academic work focuses on English language education, linguistics, and educational technology, with particular expertise in Standard English and its pedagogical implications. Dr. Morita received his Master of Arts from Waseda University's Graduate School, Division of Letters, following undergraduate studies in the Department of English Literature at Waseda University's Faculty of Literature. His educational background laid the foundation for his extensive research in English linguistics and language education. His research interests center on Language Education (English), History of English, Standard English, and Educational Technology. Morita has conducted significant investigations into how Standard English is perceived by both students and faculty in British universities, examining the authority and social implications of linguistic standards. His work bridges theoretical linguistics with practical language teaching methodologies, particularly in the context of Japan's evolving English education landscape. Analysis of Morita's publication record reveals a clear trajectory from early work on computer-assisted language learning and multimedia educational technologies to more recent research on parental involvement in elementary English education and the development of teaching materials considering diversity and gender. His scholarly output demonstrates consistent engagement with how technological advancements and social changes impact English language education across different educational levels. Among his notable achievements: Associate Scholar at Pembroke College, Cambridge (2019) Senior Fellow at Xi'an Jiaotong University's School of Management (2017) Visiting Scholar at Pembroke College, Cambridge and Hertford College, Oxford Professor Morita has led numerous significant research projects, including the Development of EFL Teaching Methods to Foster Global Leaders (2015-2018) and Data Analysis of Parents' Involvement in Primary-School English Language Education (2009-2011). His work has been supported by prestigious funding bodies including the Japan Society for the Promotion of Science. He has also contributed to the development of authorized MEXT textbooks for Japanese high schools. At Waseda University, Morita directs the Institute for Digital Enhancement of Cognitive Development and teaches a variety of courses including English Linguistics, Academic Writing, and The Culture and Language of Iceland. His research institute focuses on leveraging digital technologies to enhance language learning and cognitive development.

• Computer-Supported Collaborative Learning
• Learning Science
• Collaborative Learning Support Systems
• +6 more

Toshio Mochizuki is an Associate Professor at Waseda University's Faculty of Human Sciences and a Part-time Lecturer at Senshu University's School of Network and Information. His academic career spans over two decades with significant contributions to educational technology and learning sciences. He holds a Ph.D. from The Graduate University for Advanced Studies and a Master's degree from Keio University. 2000-2002: Master's in Policy and Media, Keio University Graduate School of Media and Governance 2002-2004: Ph.D. in Cultural Science, The Graduate University for Advanced Studies, Department of Cyber Society and Culture 2000: Bachelor's in Environment and Information Studies, Keio University Mochizuki's research focuses on Computer-Supported Collaborative Learning (CSCL) , exploring how technology can facilitate effective collaboration and learning. His work particularly examines perspective-taking in educational contexts, developing innovative systems like tangible puppetry for microteaching simulations. He investigates how learners can better regulate their collaborative processes through emergent division of labor and co-regulation mechanisms. His research bridges educational theory with practical applications, focusing on creating learning environments that foster both social and cognitive development. An analysis of Mochizuki's recent publications reveals a strong emphasis on emergent division of labor , perspective-taking , and co-regulation in collaborative learning environments. His work increasingly incorporates advanced technologies like holographic agents and tangible interfaces to support learning processes. A significant portion of his research addresses challenges in the "post-truth" era, focusing on developing students' abilities to evaluate evidence and engage with conflicting information. His publications consistently appear in top learning sciences venues, demonstrating his influence in the field. Human Agent Interaction 2019 Best Poster Award CSCL2009 Best Technology Design Paper Award ED-MEDIA 2008 Outstanding Paper Award and Outstanding Poster Award Japan Society for Science Education Outstanding Paper Award (2008) Japan Society for Educational Technology Best Paper Award (2005) Japan Society for Educational Technology Outstanding Young Researcher Award (2004) Mochizuki has served in various committee memberships, including as guidance advisor for multiple high schools in Kanagawa Prefecture, focusing on ICT integration and educational curriculum development. He has been actively involved with professional organizations including the International Society of the Learning Sciences (serving as Membership Committee Co-Chair), Japan Society for Educational Technology (as board member and International Committee Chair), and several other academic societies. His work extends to media coverage where he has contributed insights on remote education implementation during the pandemic. Mochizuki leads the "mochi-lab" research group, focusing on collaborative learning systems and educational technology development. His team has created several innovative learning tools including EduceBoard (a tangible puppetry system for teaching simulation), LiveScreenBoard (a desktop sharing tool), and various software applications supporting argumentative reading and writing. Current research directions include the development of holographic agents to facilitate collaborative discussions and systems for supporting critical information literacy in the post-truth era.

• Materials Science
• Solid-State Ionics
• Electrochemistry
• +4 more

NAKAYAMA Masanobu serves as Professor in the Department of Life and Applied Chemistry at Tokyo Institute of Technology, leading research in solid-state battery materials. His work integrates computational modeling, machine learning, and experimental electrochemistry to develop advanced energy storage solutions, with particular focus on ionic conduction mechanisms and interface engineering in next-generation batteries. His academic foundation includes: Bachelor of Engineering in Chemical Engineering (Tokyo Institute of Technology, 1997) Master of Science in Chemical Engineering (Tokyo Institute of Technology, 1999) Doctor of Engineering in Applied Chemistry (Tokyo Institute of Technology, 2004) Professor Nakayama's research spans solid-state ionics, electrochemistry, and materials informatics, emphasizing the application of neural network potentials for molecular dynamics simulations. His group pioneers AI-driven approaches to predict ionic conductivity, optimize electrode materials, and understand degradation mechanisms in lithium/sodium-ion batteries. Current projects address critical challenges in sustainable battery development, including cobalt-free cathodes and chloride-based solid electrolytes. Analysis of his 2024 publications reveals a strong trend toward integrating deep learning with experimental validation to accelerate materials discovery. Key themes include atomic-scale simulation of battery interfaces, machine learning prediction of ionic conductivity, and development of sustainable electrode architectures with enhanced energy density. His significant contributions have been recognized through: Japan Ceramic Society Academic Award (2021) MEXT Young Scientist Award (2014) Nagai Science and Technology Foundation Academic Award (2013) Takagawa Memorial Solid-State Chemistry Award (2009) Tokyo Institute of Technology Engineering Young Researcher Award (2008) Tedashima Memorial Research Award Doctoral Thesis Award (2005) Professor Nakayama actively mentors graduate researchers in interdisciplinary projects combining computation and experiment. His group secures competitive funding from Japanese research agencies including JSPS and NEDO, supporting collaborations with industry partners on solid-state battery commercialization. Current grants focus on AI-accelerated materials discovery and interface engineering for all-solid-state batteries. Based in the Environmental Ceramics Field at Tokyo Tech, his laboratory employs advanced characterization techniques including in situ XPS alongside neural network potential simulations. The team maintains strong industry partnerships for translating fundamental research into practical battery technologies, with recent work emphasizing sustainable materials design and manufacturing scalability.

Tomohiro IView profile

Associate Professor

• Algorithms on Strings
• String Pattern Matching
• Indexing
• +9 more

Tomohiro I is an Associate Professor in the Department of Artificial Intelligence at Kyushu Institute of Technology, Japan. He has been in this position since January 2019, following a research associate role at the same institution from 2015 to 2018. Prior to that, he held postdoctoral positions at Kyushu University and TU Dortmund, Germany. His academic foundation includes a Ph.D. in Science from Kyushu University, awarded in 2012. His research primarily centers on string algorithms , with a strong emphasis on compressed data structures , pattern matching , indexing , and algorithmic efficiency . Key interests include Lyndon factorization, Lempel-Ziv compression, palindrome matching, and reverse engineering of string data structures. He frequently collaborates with prominent researchers like Hideo Bannai and Shunsuke Inenaga, producing high-impact work in theoretical computer science. His recent publications demonstrate a consistent focus on improving algorithms for string processing in compressed formats. Work on Re-Pair , RLBWT , and SLP encoding highlights his expertise in space-efficient computation. The 2022 Best Paper Award at IWOCA for work on Lyndon subsequences underscores the quality and recognition of his contributions. His research bridges theoretical analysis with practical algorithm design. Best Paper Award, International Workshop on Combinatorial Algorithms (IWOCA) 2022 Tomohiro I advises graduate students in his laboratory, although he currently notes that the lab is not accepting new research students. His work involves significant algorithmic research, often supported by theoretical grants or institutional funding, leading to numerous publications in peer-reviewed journals and conferences. He has also presented his work in invited talks, such as at CompressedAI2025 and WCTA 2024, indicating active engagement with the research community. He leads a research laboratory at Kyushu Institute of Technology, focused on advanced string processing and compressed data structures. His team collaborates extensively on algorithm design and analysis, contributing to the broader field of combinatorial pattern matching.

• Green Infrastructure
• Inclusive City
• Urban Sustainability
• +4 more

Tetsuya Yaguchi is a Professor at Waseda University's Faculty of Science and Engineering, School of Creative Science and Engineering, Department of Architecture. With over 20 years of professional experience as an architect and urban designer working on international projects across the United States, Asia, and Middle East countries, he brings extensive practical knowledge to his academic role. He is a registered architect in both Japan and California, and serves on multiple urban planning committees for Tokyo's Adachi, Minato, and Shinjuku wards as well as other municipalities. Dr. Yaguchi earned his Doctor of Architecture from Waseda University in 2020, following a Master of Urban Design from the University of California at Berkeley (2001-2002), graduate studies at Tokyo Institute of Technology (1993-1995), and undergraduate studies at Tokyo University of Science (1989-1993). Before joining Waseda University in 2016, he worked at prominent firms including EDAW/AECOM as Associate Principal, BMS Design Group (now Page), Kaplan McLaughlin Diaz Architects, and Kajima Corporation. His research focuses on understanding the physical, social, ecological and technological systems of cities to create sustainable and inclusive urban environments. Key research areas include: Green Infrastructure for urban stormwater management and flood mitigation in tropical cities Universal Design principles for accessible urban spaces and assistive technologies Urban Agriculture and local food systems integration in metropolitan areas Pre-Disaster Community Planning and inclusive disaster preparedness games Waterfront regeneration in the context of climate change Social media analysis for understanding urban landscape perception Dr. Yaguchi's scholarly work demonstrates a strong focus on practical applications of urban design theory to address contemporary challenges. His recent publications reveal a methodological diversity including multi-agent simulation, spatial analysis of social media data, and community-based participatory research. His work often centers on Asian cities, particularly Bangkok, Phnom Penh, and Tokyo, examining how urban systems can be made more resilient and inclusive through innovative design approaches. His significant contributions to the field have been recognized with several prestigious awards: Urban Design Award (2018.12) from the American Institute of Architects Japan Chapter for the Thousand Islands Tourism Master Plan Pavilion @ Utica Junction, Roseville, MI (2017.04) from the Roseville Downtown Development Authority PCBC Gold Nugget Award (2013.05) Focused Issue Planning Award (2008) from the American Planning Association, California Chapter for San Leandro TOD Dr. Yaguchi actively teaches across multiple levels at Waseda University, offering courses in City Planning, Architectural Design, Environmental Aspects of Buildings and Cities, and Regenerative Design of the Built Environment. His current research projects, funded by organizations like the Japan Society for the Promotion of Science and the River Foundation, focus on green infrastructure assessment, riverfront development, and accessible housing environments. He serves as Director of the Institute of Urban and Regional Studies (2021-2025) and is a concurrent researcher at the Waseda Research Institute for Science and Engineering and the Waseda Center for a Carbon Neutral Society. His laboratory, the Yaguchi Lab (http://www.yaguchilab.arch.waseda.ac.jp/), brings together students and researchers to explore innovative approaches to urban design challenges. The lab's work bridges theoretical research with practical applications, often collaborating with municipal governments and community organizations to implement sustainable urban solutions.

• Educational Technology
• Learning Support Systems
• Generative AI
• +3 more

Shintaro Uchiyama serves as a Research Associate at Waseda University's Faculty of Human Sciences since April 2025. Previously, he held positions as a Part-time Lecturer at National Institute of Technology, Toyota College (2021-2024) and teaching assistant roles at Toyohashi University of Technology. His academic foundation includes Bachelor's and Master's degrees in Engineering from Toyohashi University of Technology, completed in 2020 and 2022 respectively. Bachelor of Engineering (2020), Toyohashi University of Technology Master of Engineering (2022), Toyohashi University of Technology Graduate Coursework Completed (2025), Toyohashi University of Technology Uchiyama's research focuses on educational technology innovation, particularly in generative AI applications for learning support systems and flipped classroom methodologies. His work bridges speech recognition technologies with educational applications, developing systems that enhance student engagement through immediate feedback mechanisms and annotation tools. Current projects include STEAM learning environments using XR technology and learning behavior analysis systems for correspondence high schools. His publication record demonstrates consistent output in educational technology conferences and journals, with recent work emphasizing large language models for educational feedback and mixed reality applications. Research trends show progression from foundational VR/Hololens educational tools (2018) toward sophisticated AI-driven learning systems (2023-2025), maintaining focus on practical classroom implementation. 特別研究報告会最優秀特別研究発表賞 (Toyohashi University, 2022) 優秀講演賞 (ATS2020 Symposium, 2021) Rinnai Scholarship Foundation Award (2022) Japan Student Services Organization Half-Repayment Exemption (2022) Multiple student support awards from Toyohashi University (2021-2022) Uchiyama actively contributes to educational research through JSPS-funded projects including 'Establishing STEAM learning environments utilizing generative AI' (2024-2029) and 'Learning behavior analysis for correspondence high schools' (2025-2027). His committee work includes publicity chair roles for International Conferences on Advanced Informatics. Professional memberships span the Japanese Society for Information and Systems in Education and Japan Society for Educational Technology since 2019-2020.

• Metals production and resources production
• Metallic material properties
• Mechanics of materials
• +8 more

Shinsuke Suzuki is a Professor at the School of Fundamental Science and Engineering, Faculty of Science and Engineering, Waseda University. He holds a Doctor of Engineering degree from Waseda University and has established himself as a leading researcher in materials science and engineering with a particular focus on metallic materials and their applications in high-temperature environments and aerospace engineering. Dr. Suzuki's educational background includes a Doctor of Engineering from Waseda University, indicating a strong foundation in advanced materials science and engineering principles. Professor Suzuki's research spans multiple domains within materials science. His primary interests include solidification, casting, physical properties of liquid metals, porous metals, plastic deformation, mechanical properties, and space utilization . His work bridges fundamental materials science with practical engineering applications, particularly in high-temperature environments. He has made significant contributions to understanding the behavior of metallic materials under extreme conditions, with applications in aerospace engineering and advanced manufacturing processes. His research often combines experimental approaches with computational modeling to address complex materials challenges. Analysis of Professor Suzuki's recent publications reveals a strong focus on Ni-based superalloys and their high-temperature properties. His work consistently addresses critical challenges in oxidation resistance, impurity effects, and desulfurization techniques for advanced alloys. A significant portion of his research investigates methods to improve the performance of turbine blade materials through CaO crucible melting and other innovative processing techniques. He also maintains active research in porous metals, deformation behavior, and space-related materials science, demonstrating remarkable breadth across multiple sub-disciplines within materials engineering. Professor Suzuki has received numerous prestigious awards for his contributions to materials science: 日本金属学会 論文賞第7回「まてりあ論文」 (2009) 高温学会 解説賞 (2009) 日本マイクログラビティ応用学会 奨励賞 (2005) 軽金属学会 学生優秀発表賞 (1996) 軽金属学会 学生優秀発表賞 (1994) Professor Suzuki is an active member of numerous professional societies including the Japan Institute of Metals, High Temperature Society, Japan Society of Microgravity Applications, Light Metals Society of Japan, Japan Society for Plastic Processing, Japan Society of Mechanical Engineers, and others. His research has been supported by various grants focusing on advanced materials development, particularly in the areas of high-temperature alloys, porous metals, and space materials science. He has advised numerous graduate students who have gone on to successful careers in academia and industry. Professor Suzuki's work involves collaboration with multiple research teams across Japan, particularly with researchers working on Ni-based superalloys and high-temperature materials. His laboratory at Waseda University appears to have capabilities for advanced materials characterization, thermal analysis, and mechanical testing, with particular expertise in high-temperature oxidation testing and microstructure analysis. His research often involves international collaboration, particularly with space agencies for microgravity-related materials research.

• 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.

• Biophysics
• Computational Biology
• System Genome Science
• +2 more

Kei Yura is a Professor (without tenure) at Waseda University's School of Advanced Science and Engineering, concurrently serving as Vice Director of the Research Advancement Division at Ochanomizu University's Center for Interdisciplinary AI and Data Science. He previously held positions as Professor and President at Ochanomizu University (2016-2019). His research spans biophysics, computational biology, genomics, and bioinformatics, with applications in evolutionary biology, marine symbiosis, and medical diagnostics. Education includes: PhD, Nagoya University (1999) Graduate studies in Biology, Nagoya University (1990-1993) MS in Physics and Applied Physics, Waseda University (1988-1990) BS in Applied Physics, Waseda University (1984-1988) Research focuses on biophysical modeling, genomic evolution, and host-microbe interactions. Work integrates computational methods (machine learning, network analysis) with experimental validation across diverse systems—from thermophilic bacteria to coral holobionts. Recent studies explore protein folding, mitochondrial genomics, and single-cell omics for drug discovery. Articles predominantly address molecular mechanisms in extremophiles, neuronal development, and cancer diagnostics. Computational themes include protein structure prediction, coevolution analysis, and deep learning for histopathology. Awards include: 2024 Waseda Research Award 2018 Waseda Research Award Leads interdisciplinary collaborations through the Yura Lab, focusing on genomic data integration and AI-driven biomarker discovery. Current grants support work in entomophagy genomics and coral reef resilience.

• Intelligent robotics
• Mechanics and mechatronics
• Robotics and intelligent system
• +3 more

Shigeki Sugano is a Professor at Waseda University's Faculty of Science and Engineering, School of Creative Science and Engineering. He has served as Senior Dean of the Faculty of Science and Engineering (2020-2024) and Dean of the School of Creative Science and Engineering (2014-2020). His academic journey at Waseda spans from Research Assistant (1986-1990) to Assistant Professor (1990-1992), Associate Professor (1992-1998), and Professor (1998-present), with a visiting scholar position at Stanford University (1993-1994). Dr. Sugano's research focuses on intelligent robotics, mechanics and mechatronics, and robotics and intelligent systems. His work emphasizes tactile sensing, human-robot collaboration, robotic manipulation, and assistive technologies. His extensive publication record demonstrates expertise in developing practical robotic systems for applications in disaster response, healthcare, infrastructure inspection, and human augmentation. He has made significant contributions to the development of tactile sensors, human-robot interaction frameworks, and robotic systems for gait analysis and assistance. His recent publications (2024-2025) reveal a strong focus on tactile sensing technologies (H-PME sensors, uSkin systems), human-robot collaboration frameworks, and advanced manipulation techniques using deep learning. His research integrates mechanical engineering principles with AI techniques to create practical robotic solutions. The consistent publication output across multiple high-impact venues demonstrates sustained research productivity and relevance in the robotics field. SII2025 Best Paper Award (2025) SI2024 優秀講演表彰 (2024) 文部科学大臣表彰（科学技術賞・研究部門）(2017) IEEE Fellow Award (2007) 日本ロボット学会功労賞 (2012) Dr. Sugano currently serves as President of The Robotics Society of Japan (2023-present) and previously as President of The Society of Instrument and Control Engineers (2017-2018). His leadership extends to editorial roles, including Editor-in-Chief of the International Journal of Advanced Robotics (2007-2012). His research group has secured numerous grants supporting their work in robotics and intelligent systems, with applications spanning healthcare, manufacturing, and infrastructure maintenance. He maintains active collaborations with researchers worldwide, as evidenced by his extensive co-authorship network.

Yasumasa NishiuraView profile

Professor

• Pattern formation
• Mathematical modeling
• Multi-scale materials science
• +5 more

Yasumasa Nishiura is a Specially Appointed Professor at the Advanced Institute for Materials Research (AIMR) at Tohoku University and serves as Research Advisor of the AIST-Tohoku University Mathematics for Advanced Materials – Open Innovation Laboratory (MathAM-OIL). His academic career spans several decades with a focus on interdisciplinary research connecting mathematics with materials science, physics, and biology. Professor Nishiura's research interests center around pattern formation theory, mathematical modeling of complex systems, and multi-scale materials science. His work particularly focuses on reaction-diffusion systems, phase-field modeling, and computational homology applications to materials science. He has made significant contributions to understanding traveling pulses, spot dynamics, and pattern formation in heterogeneous media. His research bridges theoretical mathematics with practical applications in polymer science, neuroscience, and materials characterization. Analysis of his recent publications reveals a consistent focus on reaction-diffusion systems, with increasing integration of computational methods and interdisciplinary applications. His work shows a progression from fundamental mathematical analysis to practical applications in materials science, particularly in polymer physics and amorphous materials. The research demonstrates strong collaboration between mathematicians, materials scientists, and experimentalists. Among his notable achievements is the MIMS Mimura Award, recognizing his contributions to mathematical sciences. His publications span top journals across mathematics, physics, materials science, and computational neuroscience, demonstrating the breadth of his interdisciplinary impact. Professor Nishiura has mentored numerous researchers who have gone on to become independent investigators, including Shuangquan Xie (now Assistant Professor) and Edgar Avalos (Researcher). His work has been supported by multiple grants including JSPS KAKENHI (Grants-in-Aid for Scientific Research) A and B, A3 Foresight Program, and SIP (Cross-ministerial Strategic Innovation Promotion Program). He leads research activities at the Advanced Institute for Materials Research at Tohoku University and collaborates extensively through the MathAM-OIL initiative. His team combines mathematical theorists with experimental materials scientists to tackle complex problems in pattern formation and materials design. The research environment fosters strong collaboration between mathematicians and domain scientists across multiple institutions in Japan and internationally.

• Linguistics
• Foreign Language Education
• Corpus Linguistics
• +3 more

Joachim Scharloth is a Professor at Waseda University's School of International Liberal Studies, specializing in linguistics and foreign language education. His research bridges computational methods, political discourse, and pedagogical innovation, with leadership roles including co-founding the Waseda Game Lab and hosting the linguistics podcast 'Tuwort'. Research interests span: Corpus linguistics and digital text analysis Political discourse (hate speech, far-right rhetoric) Game-based language learning design Sociolinguistics of protest movements Cross-cultural education Recent publications (2021-2024) cluster around: discourse analysis of political extremism, historical semantics, digital communication patterns, and language pedagogy. A strong methodological focus on corpus-driven approaches unites these works. Awards: WASEDA e-Teaching Award (2022) for gamified German learning platform Dresden University Teaching Prize (2016) for interdisciplinary risk narratives course Current projects: JSPS-funded 'Best Practice in Video Game Design for Language Learning' (2025-2029) DAAD-supported 'Loop Lab' for game-based German instruction (2025) Swiss-Japanese collaboration on spatial metaphors in learning (2024-2025) Leads the Waseda Game Lab exploring ludic pedagogy and co-hosts the academic podcast 'Tuwort'. Member of Chaos Computer Club.