Find Academic Supervisors

• Bioinformatics
• Computational Biology
• RNA Biology
• +5 more

Chao Zeng is an Associate Professor at Waseda University’s Research Institute for Science and Engineering, affiliated with the School of Advanced Science and Engineering. He holds a PhD in Science from the University of Tokyo (2016) and a Master’s in Information Science from Kyoto University (2013). His research integrates computational biology and RNA genomics, focusing on non-coding RNAs, RNA localization mechanisms, and repetitive genetic elements. Dr. Zeng’s work spans bioinformatics algorithm development , RNA structure-function relationships , and transcriptomic regulation in disease . Key interests include lncRNA interactions with ribosomes, phase separation of RNA, and RNA-binding protein networks. His lab employs high-throughput sequencing, machine learning, and comparative genomics to decode RNA regulatory systems across species. His publications emphasize RNA biology in cancer and fibrosis , with recent work exploring mitotic RNA editing, inflammatory recovery pathways, and RNA quality control. Article analyses reveal consistent themes: lncRNA mechanisms (35%), RNA-protein interactions (25%), computational methods (20%), splicing/localization (15%), and translational applications (5%). Awards & Grants: Waseda University Teaching Award (2022) JSPS Grants: PI for ‘Repetitive Elements in Genome Regulation’ (2022-2025) and ‘lncRNAs in Genetic Compensation’ (2020-2022) Co-investigator for Phase Separation Research (2023-2026) and Cancer RNA Mechanisms (2021-2023) He leads the RNA Bioinformatics group at Waseda, collaborating with the Hamada Lab and international teams. Future work targets RNA-based therapeutics and multi-omics integration for disease modeling.

• Power Engineering
• Computational Electromagnetics
• Finite Element Method
• +6 more

Shinji Wakao is a full Professor in the School of Advanced Science and Engineering, Waseda University, Japan, where he has served since 1993 and was Dean of the School from 2016 to 2020. Holding doctoral and master degrees in electrical engineering from Waseda, he leads a prolific research group specialising in computational electromagnetics and renewable-energy power systems. Education: Doctor of Engineering, Waseda University Master of Engineering, Waseda University Bachelor of Engineering (Electrical Engineering), Faculty of Science and Engineering, Waseda University Research Interests: His work integrates large-scale numerical electromagnetic field analysis—finite-element and infinite edge-element methods, level-set topology optimisation—with practical power-engineering challenges such as photovoltaic generation forecasting, smart-grid battery scheduling, zero-energy-house design, and electric-machine optimisation. Publication Trends: Recent articles emphasise deep-learning-enhanced PV forecasting (auto-encoders, CNNs, just-in-time modelling) and advanced topology-optimisation techniques (encoder-decoder networks, MMA-accelerated level-set methods) for magnetic shields and motors, reflecting a convergence of machine learning and energy-system science. Scientific Awards: IEEJ Academic Promotion Award (2008) IEEJ Distinguished Paper Award (2008) Committee & Society Roles: He serves on Japanese national committees including METI’s Power Safety Sub-committee and the Cabinet Office’s solar-energy evaluation panels, and is a board member of the Japan Solar Energy Society. Professional memberships include IEEE, IEEJ, JSCES and JSES. Laboratory & Projects: He heads the Wakao Laboratory within Waseda’s Department of Electrical Engineering, conducting projects on smart-grid PV management, magnetic-sensor optimisation for railway signalling, and net-zero-energy building renovation strategies.

• Civil Engineering
• Structural Engineering
• Concrete Technology
• +5 more

Professor Yasuhiko Sato is affiliated with Waseda University's Faculty of Science and Engineering, School of Creative Science and Engineering, where he has been working since April 2018. Prior to this, he held positions at Hokkaido University from April 1994 to March 2018, progressing from Assistant to Associate Professor and then to Professor. His academic journey began with a Doctor of Engineering degree from Hokkaido University. Professor Sato's research focuses on civil engineering materials, structural engineering and earthquake engineering, safety engineering, and social systems engineering, with particular emphasis on concrete technology and FRP strengthening of concrete structures. His work explores the durability of concrete under various environmental conditions, including frost damage and fatigue behavior, as well as the bond mechanics between FRP and concrete. He has developed innovative methods for analyzing and predicting the behavior of concrete structures under different loading conditions and environmental exposures. His research output demonstrates a strong focus on the mechanical properties of concrete, especially under combined deterioration from fatigue and frost damage. Professor Sato has pioneered methods for predicting ultimate debonding strain in FRP-strengthened concrete and has investigated the importance of mortar skin characteristics in concrete surface layers. His recent work (2023-2024) continues to advance understanding of FRP-concrete interfaces and their behavior under various conditions. Professor Sato has received numerous prestigious awards for his contributions to civil engineering, including the Structural Engineering Paper Award from the Japan Society of Civil Engineers (2020), the Yoshida Award (2020 and 2003), the Cement Association Paper Award (2013), and the Best Basic Research Paper award from the American Society of Civil Engineers Journal of Composites for Construction (2005). As an active researcher, Professor Sato maintains professional memberships with several organizations including fib (International Federation for Structural Concrete), aci (American Concrete Institute), Resource and Materials Society, Concrete Engineering Society, PC Engineering Society, Materials Society, and the Japan Society of Civil Engineers. His research has significant practical applications in infrastructure maintenance and repair, particularly in cold regions where frost damage is a major concern.

• Electron device and electronic equipment
• Chemical reaction and process system engineering
• Wireless sensor networks
• +4 more

Shigeyuki Tateno is a Professor at the Graduate School of Information, Production and Systems within the Faculty of Science and Engineering at Waseda University. Holding a Doctor of Engineering degree from Kyushu University, he has established himself as a leading researcher in wireless sensor networks, fault diagnosis systems, and corrosion engineering. His academic journey spans over three decades, with significant contributions to both theoretical frameworks and practical industrial applications. Dr. Tateno received his graduate education from Kyushu University's Division of Engineering, specializing in chemical engineering, completing his studies in 1992. His academic career progressed from Research Assistant in the Department of Chemical Engineering at Kyushu University (1992-2003) to Associate Professor at Waseda University's Graduate School of Information, Production and Systems (2003-2009), culminating in his current position as Professor. He maintains active membership in four professional societies: Japan Facility Management Society, Institute of Electronics, Information and Communication Engineers, Society of Instrument and Control Engineers, and Society of Chemical Engineers. His research portfolio demonstrates remarkable breadth across multiple engineering disciplines. Dr. Tateno's primary research thrusts include wireless sensor networks for human motion detection and indoor positioning, fault detection and diagnosis using signed digraphs and graph theory, and corrosion engineering with particular focus on corrosion under insulation in petrochemical plants. His work bridges chemical engineering with computer science and electronics, creating innovative solutions for challenges in industrial maintenance, autonomous systems, and healthcare monitoring. Recent projects have expanded into autonomous driving systems, elderly monitoring technologies, and rescue operation support systems. Analyzed across his 67 publications with 276 citations and an h-index of 8, Dr. Tateno's research shows clear evolution from theoretical fault diagnosis methods toward practical applications in safety-critical systems. His most recent work demonstrates strong interdisciplinary connections between electronics, chemical engineering, and computer science, with increasing emphasis on real-world implementations in automotive technology, elderly care facilities, and industrial maintenance systems. The consistent thread throughout his career is the application of measurement technology to solve practical engineering problems. Japan Facility Management Society Institute of Electronics, Information and Communication Engineers Society of Instrument and Control Engineers Society of Chemical Engineers Dr. Tateno has supervised numerous research projects addressing critical engineering challenges in industrial maintenance, safety systems, and sensor technology development. His research has been applied in diverse settings including petrochemical plants, elderly care facilities, and automotive systems. The practical impact of his work is evident in implemented systems for pipe corrosion management, autonomous vehicle control, and rescue operation monitoring. His approach consistently bridges theoretical frameworks with practical implementations, ensuring research outcomes deliver tangible benefits in real-world environments. His laboratory focuses on developing wireless sensor network applications for positioning systems, human motion detection, and industrial monitoring. The research team combines expertise in electronics, chemical engineering, and computer science to create innovative solutions for challenges in elderly care, rescue operations, and petrochemical plant maintenance. Current projects include autonomous driving systems for elderly mobility, real-time logistics monitoring, and drowsiness detection systems based on physiological changes, reflecting the team's commitment to addressing societal challenges through engineering innovation.

• Catalysis
• Low-temperature catalysis
• Chemical looping
• +7 more

Takuma Higo is an Assistant Professor at the Faculty of Science and Engineering, Waseda Research Institute for Science and Engineering, Waseda University. His research focuses on developing innovative catalytic processes for energy conversion and environmental protection, with particular expertise in low-temperature catalysis, chemical looping, and electric field-assisted reactions. He has made significant contributions to the fields of CO 2 conversion, hydrogen production, ammonia synthesis, and methane reforming, with 51 publications, 1,233 citations, and an h-index of 23 as of September 2025. Dr. Higo's research interests center on catalyst design and reaction engineering for sustainable energy systems. His work explores how electric fields can dramatically enhance catalytic activity at low temperatures (373-473 K), enabling energy-efficient chemical processes. He investigates surface protonics mechanisms, oxygen carrier materials for chemical looping, and bimetallic catalysts with synergistic effects. His research has important applications for CO 2 utilization, hydrogen economy, and automotive emissions control, with significant potential to reduce industrial energy consumption. Analysis of his publication trends shows a consistent focus on overcoming thermodynamic limitations through innovative approaches like chemical looping and electric field assistance. His work demonstrates how these methods enable high conversion rates at significantly lower temperatures than conventional processes, particularly for CO 2 conversion, methane reforming, and ammonia synthesis. This represents a paradigm shift in catalytic process design toward more sustainable energy systems. Dr. Higo has established himself as a leading researcher in low-temperature catalysis, with publications in high-impact journals including Chemical Science, ACS Catalysis, and Catalysis Science and Technology. His research combines experimental and computational approaches to understand fundamental reaction mechanisms at the molecular level. He collaborates extensively with Professor Yasushi Sekine and other researchers at Waseda University, focusing on advancing catalytic technologies for a sustainable future. His work spans from fundamental surface science to practical applications in energy and environmental technologies, with strong potential for industrial implementation.

• Social Psychology
• Industrial and Organizational Psychology
• Organizational Behavior
• +5 more

Toshio Murase is an Associate Professor at the School of Commerce, Waseda University, where he has taught Organizational Behavior and related courses since 2017. His academic journey includes postdoctoral research at Northwestern University's Engineering Department and Georgia Institute of Technology's School of Psychology, followed by an Assistant Professor role at Roosevelt University's Psychology Department. Ph.D. in Industrial Organizational Psychology (2011), University of Central Florida M.S. in Psychology (2006), California State University, San Bernardino M.A. in Psychology with sociology minor (2002), California State University, Stanislaus His research spans Social Psychology , Industrial Organizational Psychology , and Organizational Behavior , focusing on team cognition, multiteam systems, and network analysis. Recent work examines cognitive versatility in hospital teams and cross-functional team dynamics through scale development. Key contributions include pre-publication replication frameworks and behavioral sequence analysis for team processes. He has received multiple awards, including the 2015 NCA Top Paper Award and 2008 UCF Social Sciences Award. 2024–2028: JSPS Grant on Innovation Processes and Prohibitive Voice 2018–2023: JSPS Grant on Shared Cognition and Leadership 2018–2020: Special Research Project on Cognitive Gaps in Organizations As a concurrent researcher at Waseda's Research Institute of Business Administration, he explores leadership mechanisms for inter-departmental collaboration and psychological safety in nursing education.

• Industrial Engineering
• Operations Research
• Optimization
• +5 more

Shunichi Ohmori , a Professor at the Faculty of Science and Engineering , Waseda University , holds a Doctorate in Engineering from the same institution. His academic journey includes continuous affiliation with Waseda University since 2011, currently serving as a faculty member and concurrently as Director of Research Institute at the Institute of Global Production & Logistics (2022-2026). Education: Doctorate (2009-2012), Master's (2007-2009), and Bachelor's (2004-2007) from Waseda University His research focuses on industrial engineering and operations research , with specific interests in optimization , facility planning , logistics , and supply chain management . He has developed innovative frameworks for: Robust supply chain design under disruption risks Multi-echelon inventory optimization 3D facility layout planning with pipeline arrangements Collaborative vehicle routing cost allocation Green product portfolio strategies under uncertainty His publication record demonstrates expertise in stochastic optimization (15+ peer-reviewed papers) and heuristic algorithms (14+ conference proceedings). He has received multiple Best Paper Awards (2012-2016) and contributed to curriculum development through courses like Advanced Facilities Planning , Supply Chain Transformation , and Logistics at both undergraduate and graduate levels.

Qi FengView profile

Assistant Professor

• Deep Learning
• Computer Graphics
• Computer Vision
• +5 more

Qi Feng is an Assistant Professor at the Faculty of Science and Engineering, Waseda University, specializing in deep learning applications for computer graphics and vision, with a focus on virtual and augmented reality. He holds a Doctor of Engineering (2022), Master of Engineering (2019), and Bachelor of Engineering (2017) from Waseda University. Research Interests: His work spans 3D reconstruction, depth estimation, occlusion handling, and multimodal systems integrating eye tracking and speech recognition. Notable projects include SyncViolinist for audio-driven motion generation and the Depth360 dataset for omnidirectional imaging. Publications: Qi's research has been featured in top conferences like CHI, ISMR, ICCVW, and journals such as The Visual Computer. His articles emphasize practical solutions for immersive environments, language learning, and synchronized audio-visual editing. Contact: Email: fengqi@ruri.waseda.jp

• Architectural Environment
• Indoor Environmental Engineering
• Facility Horticulture
• +3 more

Soma Sugano is an Assistant Professor at Waseda University's Faculty of Science and Engineering, with concurrent part-time lecturer roles at Tokyo City University and Keio University's Shonan Fujisawa Campus. Holding a Doctor of Engineering degree from Waseda University (2023), he actively contributes to architectural environment research through multiple affiliations. Current affiliations: Waseda Research Institute for Science and Engineering (Assistant Professor), Tokyo City University (Part-time Lecturer), Keio University (Part-time Lecturer) Professional memberships: ISHS, ISIAQ, ASHRAE, SHASE, AIJ Research Focus: Specializing in biophilic design, indoor plant environments, and sustainable building systems, he bridges architectural engineering with agricultural technology to create human-centric, energy-efficient spaces. His work addresses both physiological plant needs and psychological human responses to built environments. Publication Trends: Recent studies demonstrate expertise in Spectral irradiance modeling for plant growth Thermal comfort optimization Indoor air quality improvement Zero-energy agricultural systems Scientific Recognition: 44th Tohoku Architecture 'Work Award' (2024) Top Downloaded Article, JAPAN ARCHITECTURAL REVIEW (2023) Young Excellent Presentation Award (2022) JIA Environmental Architecture Award (2021) Academic Leadership: Serves as committee member for AIJ Subcommittee on Biophilia Spaces and as peer reviewer for Building and Environment journal.

• Sports Medicine
• Orthopaedic Science
• Human Anatomy
• +4 more

Professor Tsukasa Kumai is affiliated with the Faculty of Sport Sciences, where he teaches courses such as Basic Sports Medicine, Basic Human Anatomy, and advanced seminars on orthopaedic science in sports injury. He also contributes to graduate education through directed research and seminars at the Graduate School of Sport Sciences, with a focus on functional anatomy for orthopaedic sports medicine. Research Focus: Biomechanics, sports injury prevention, and musculoskeletal stiffness analysis. Current Projects: Investigating the relationship between ball-tracking data (spin rate/effectiveness) and pitching-related shoulder/elbow injuries in baseball players. Sub-Affiliations: Faculty of Sport Sciences, Graduate School of Sport Sciences, Global Education Center. Recent Research Trends: Utilizing ball-tracking technology and ultrasound diagnostics to analyze musculoskeletal health in athletes, particularly focusing on rotational mechanics and injury prediction models. Advising: Mentors students in biomechanical research, including co-authors on studies related to plantar vibration therapy and posture stability.

• Foreign Language Education
• Language Testing
• Learner Corpus
• +3 more

Yusuke Kondo is an Associate Professor at the Global Education Center, Waseda University , where he has worked since 2014. He holds a PhD from Waseda University and specializes in foreign language education , with a focus on language testing , learner corpus studies , and automated scoring systems . PhD in Education from Waseda University (2010) Master's and Bachelor's degrees in English Language and Literature from Waseda University His research bridges second language acquisition and educational technology , emphasizing the development of automated speech evaluation systems for Japanese English learners. He has pioneered longitudinal learner corpus projects to track speaking proficiency over time. 15+ peer-reviewed articles on speech scoring, corpus linguistics, and language testing Key projects include JSPS-funded studies on syntactic complexity and L2 developmental indicators Dr. Kondo has received awards for his contributions, including the JACET Newcomer Award (2012) and a presentation award from the Japan Society for Testing (2007). His work impacts language education policy and technology-enhanced learning , with applications in university-level courses and high school programs.

• RNA therapeutics
• Artificial Intelligence
• probabilistic model
• +10 more

Michiaki Hamada is a Professor at Waseda University's Faculty of Science and Engineering, School of Advanced Science and Engineering. He also serves as President of the Japanese Society for Bioinformatics (since April 2024) and holds visiting positions at the National Institute of Advanced Industrial Science and Technology and Nippon Medical School's Graduate School of Medicine. His research laboratory focuses on bioinformatics with particular emphasis on functional RNA, epigenetics, and RNA drug discovery. Ph.D. in Science from Tokyo Institute of Technology (2009) Master's in Mathematics from Tohoku University (2002) Bachelor's in Mathematics from Tohoku University (2000) Professor Hamada's research spans multiple areas of bioinformatics, with particular focus on RNA biology, machine learning applications in sequence analysis, and computational approaches to drug discovery. His work bridges computational methodologies with biological applications, developing tools for RNA structure prediction, aptamer design, and genome analysis. His laboratory has made significant contributions to understanding RNA-protein interactions, transposable element biology, and the application of deep learning to RNA engineering problems. His recent publications demonstrate a strong focus on applying machine learning and deep learning techniques to RNA-related problems, including RNA aptamer generation, RNA structure prediction, and RNA therapeutic development. His research group has developed several computational tools like RaptGen for aptamer design, DeepRaccess for RNA accessibility prediction, and REPrise for repeat detection. His work shows a consistent pattern of developing computational methods with direct biological applications, particularly in the areas of RNA therapeutics and genome analysis. Okuma Memorial Academic Award (Encouragement Award) 2024.11 Waseda University Teaching Award 2023.07 Waseda University Next Generation Core Researchers 2022 Waseda University Research Award for International Research Dissemination 2021.12 MEXT Young Scientists' Award 2017.04 National Institute of Advanced Industrial Science and Technology President's Award (Research) 2016.04 As Principal Investigator, Professor Hamada has led numerous competitive research projects including multiple KAKENHI grants (Young Researcher, Challenging Exploratory Research, New Academic Fields), CREST programs, and industry collaborations. He actively contributes to the bioinformatics community through leadership roles, including serving as President of the Japanese Society for Bioinformatics and organizing joint symposia between Waseda University and Nippon Medical School. His laboratory maintains strong collaborations with both computational and experimental groups, facilitating the translation of computational methods into biological applications. Professor Hamada leads the Hamada Laboratory (hamadalab.com), which focuses on developing computational tools for RNA analysis and design. His group maintains active collaborations with researchers at Nippon Medical School, AIST, and other institutions, creating a strong interdisciplinary research environment. The laboratory has developed several widely-used bioinformatics tools and maintains an active publication record in high-impact journals across computational biology, genomics, and RNA research fields.

• Biophysics
• Structural Biochemistry
• RNA-Binding Proteins
• +7 more

Ikuo Kurisaki is an Associate Professor at the Waseda Research Institute for Science and Engineering, Faculty of Science and Engineering, Waseda University. His research focuses on computational biophysics, particularly using molecular dynamics simulations to study protein-RNA interactions, protein allostery, and molecular recognition mechanisms. Dr. Kurisaki received his Master of Science in Biology from Hokkaido University and his PhD in Science from Kobe University. His educational background includes undergraduate studies at Waseda University's School of Science and Engineering (2000-2004), followed by graduate studies at Hokkaido University (2004-2006) and Kobe University (2006-2009). His primary research interests include: RNA-binding proteins and RNA structure Molecular dynamics simulation and hybrid Monte Carlo methods Protein allostery and molecular recognition Protein aggregation and amyloid formation Theoretical molecular biology and computational biophysics Dr. Kurisaki's research employs advanced computational methods to investigate fundamental biological processes at the molecular level. His work spans from studying the mechanisms of RNA-protein interactions to understanding the physical principles underlying protein allostery and aggregation. He has made significant contributions to our understanding of thrombin activation mechanisms, hemoglobin oxygen binding, and amyloid beta aggregation processes. His recent publications demonstrate a strong focus on applying deep learning to RNA structure prediction, thermal signaling mechanisms, and protein aggregation phenomena. The research shows a consistent pattern of using computational approaches to address challenging problems in structural biology and biophysics. Dr. Kurisaki has received research funding from the Japan Society for the Promotion of Science, including grants for studying biological phase separation based on RNA-centric molecular networks and heterogeneous thermal signaling in muscle cells. He actively contributes to the scientific community as a member of the Biophysical Society of Japan and has participated in educational initiatives, including workshops on molecular simulation software such as AMBER.

• Neuroscience
• Biomedical engineering
• Biosignal Interpretation
• +7 more

Keiko Momose is an Associate Professor at Waseda University's Faculty of Human Sciences, specializing in Biomedical Engineering. She holds a Doctor of Engineering degree from Waseda University and has maintained continuous academic appointment since 2005. Her academic journey began with undergraduate studies at Waseda University's School of Science and Engineering, followed by advanced research that led to her current position. Dr. Momose's research primarily focuses on biosignal interpretation, with particular expertise in visual evoked potentials (VEPs), eye movement analysis, and mother-infant interaction studies. Her work integrates engineering principles with neuroscience to develop novel methods for assessing visual function and understanding human cognitive processes. She has made significant contributions to the development of pseudorandom binary sequence (PRBS) stimulation techniques for rapidly assessing temporal frequency characteristics of the visual system, which has important clinical applications in diagnosing and monitoring conditions like glaucoma and macular degeneration. Her recent research has expanded into cross-cultural studies of mother-infant interactions, comparing Japanese and Scottish parenting behaviors during feeding and infant pick-up scenarios. This work reveals culturally specific patterns in intersubjectivity, timing, and empathy between mothers and infants, demonstrating how cultural contexts shape early developmental experiences. Her publications show a clear progression from technical development of VEP measurement techniques to broader applications in developmental psychology and cross-cultural neuroscience. Dr. Momose has secured multiple research grants from the Japan Society for the Promotion of Science, including projects on eye movement training for children with dyslexia, blink-based detection methods for visual motion evoked potentials, and the early development of parent-infant inter-body relationships. Her research demonstrates consistent innovation in methodology development while addressing clinically and developmentally significant questions. She actively teaches across Waseda University's programs, including undergraduate courses in Human Sensory Processing and Measurement and Modeling of Human, as well as graduate-level seminars in Biomedical Engineering. Her teaching spans both traditional and online degree programs, reflecting her commitment to accessible education in biomedical engineering principles and applications.

• Energy Systems Optimization
• Systems Engineering
• Robotics
• +3 more

Professor Yoshiharu Amano is affiliated with the Faculty of Science and Engineering at Waseda University in the Department of Applied Mechanics and Aerospace Engineering . With a Doctor of Engineering degree from Waseda University, his research spans energy systems, robotics, and environmental engineering. Education: Ph.D. in Mechanical Engineering (Waseda University) Current Position: Full Professor at Waseda University His research interests include: Optimization of energy systems with renewable integration Development of autonomous mobile systems and UAVs GNSS signal processing and multipath mitigation 3D mapping for industrial and environmental applications Control Moment Gyro (CMG) technology for flight stability Standardization of industrial energy management systems (IEC 63376) Recent publications focus on: Macroeconomic modeling of distributed energy resources Geothermal system optimization using deep learning CO2 emission reduction through advanced district cooling systems High-precision 3D piping measurement methods Hydrogen production economics with hybrid energy sources GNSS reliability improvements in urban environments Scientific awards highlight his contributions to: Best energy systems research (ECOS 2015, IJPGC ASME) Thermal engineering excellence (JSME 2005, 2012) Robotics innovations (ROBOMECH Journal 2011) International recognition (SICE 2021)