جست‌وجوی استاد و پژوهشگر

• Human-Computer Interaction
• Virtual Reality
• Haptics
• +۳ مورد دیگر

Haruo Igarashi serves as Assistant Professor at Waseda University's School of Advanced Science and Engineering since April 2025, following a Research Assistant position at the same institution (2022-2025). His academic foundation spans mathematics and physics across Japan's top universities. His educational pathway includes: Doctorate in Physics and Applied Physics (2022-2025), Waseda University Graduate School of Advanced Science and Engineering Master's in Pure and Applied Physics (2020-2022), Waseda University Graduate School of Advanced Science and Engineering Bachelor's in Mathematics (2016-2020), University of Tokyo Faculty of Science Dr. Igarashi pioneers human-computer interaction systems that translate abstract high-dimensional concepts into tangible experiences. His research integrates virtual reality with advanced haptics—particularly shape-memory alloy tactile displays and thermal feedback mechanisms—to enable intuitive exploration of 4D+ spaces. Key innovations include decomposing 4D force vectors for 3D haptic presentation and developing VR systems for scientific data visualization like XAFS analysis. His publication trajectory (2021-2025) reveals progressive refinement from foundational 4D interaction frameworks to applied medical/industrial implementations. Early work established core algorithms for tactile 4D navigation, while recent publications demonstrate practical applications in pain management and materials science, maintaining consistent focus on user-centered interface design. Recognition includes: Best Presentation Award from Information Processing Society of Japan (2021) for tactile 4D visualization research He leads the internal research project 'High-dimensional Space Interaction Using Force Feedback' (2023), which developed novel algorithms for projecting 4D force vectors into dual 3D haptic streams. His primary collaboration with Hideyuki Sawada spans 7 publications, creating an integrated pipeline from hardware (tactile sensors) to theoretical frameworks (4D spatial reasoning).

• Human-Computer Interaction
• Image Processing
• Digital Signal Processing
• +۴ مورد دیگر

Yoichi Kato serves as a Professor (without tenure) at Waseda University's School of Creative Science and Engineering and Global Center for Science and Engineering. He maintains additional affiliations with the Graduate School of Creative Science and Engineering and the Global Education Center. His academic profile spans decades of research and teaching in information and communication technologies, with particular expertise in video coding algorithms, image processing, and human-computer interaction systems. Professor Kato's research interests focus on Human interface and interaction, Image Processing, Digital Signal Processing, and Design Thinking. His scholarly trajectory demonstrates a progression from foundational work in signal processing during the 1980s-1990s toward more applied, interdisciplinary research in recent years. Early publications established his expertise in motion picture coding algorithms and image restoration techniques, while his current work explores IoT applications, machine learning prototyping methods, and user-centered design approaches. Analysis of his publication history reveals significant contributions to video compression standards and image processing algorithms, with recent research expanding into collaborative systems, disaster prevention technologies, and educational applications. His work bridges theoretical foundations with practical implementations, particularly evident in his recent projects involving drone-based terrain analysis and automated plant monitoring systems. Professor Kato actively supervises graduate students through Master's Thesis projects in the Department of Modern Mechanical Engineering and Research on Neuro Robotics. His teaching portfolio includes diverse courses such as SHIP Field Practice, Modern Information and Communication Systems, Exercise for Co-Creation workshop, and Introduction to Python Programming, reflecting his interdisciplinary approach to education. His laboratory activities center on practical applications of information technologies, with current projects examining drone applications for disaster prevention, remote plant monitoring systems using IoT technology, and prototyping methodologies for machine learning applications. These initiatives demonstrate his commitment to translating theoretical knowledge into real-world solutions that address contemporary challenges.

• Evolutionary economics
• Innovation
• Entrepreneurship
• +۴ مورد دیگر

Kazue Haga serves as Associate Professor at Waseda University's Faculty of Science and Engineering, School of Creative Science and Engineering since 2021, following her position as Associate Professor at Bunkyo Gakuin University (2017-2021) and research roles at the German Institute for Japanese Studies (2013-2017). Holding a Dr. rer. pol. from Philipps-Universitaet Marburg (2012), she bridges German-Japanese academic traditions in her interdisciplinary work. Current Affiliation: Waseda University, Faculty of Science and Engineering Academic Background: Tokyo University of Foreign Studies (BA), Philipps-Universitaet Marburg (MA, PhD) Research Focus: Evolutionary economics applied to aging societies and rural communities Committee Memberships: Human Interface Society, Society for Philosophy and Technology Her research centers on innovation mechanisms in demographic transition contexts, particularly examining how co-creation processes and effectuation theory can generate sustainable community solutions. She investigates entrepreneurial approaches to maintaining vitality in aging and shrinking rural areas, with special attention to Japan-Germany comparative perspectives. Her work integrates economic theory with practical community development strategies, emphasizing knowledge transfer between diverse stakeholders. Her recent publications reveal a strong focus on practical applications of innovation theory, with increasing attention to living lab methodologies and catalyst functions in multi-stakeholder innovation ecosystems. The research demonstrates consistent evolution from theoretical economic frameworks toward actionable community implementation strategies. 2025: Strategies for creative job-seeking after retirement in Japan 2025: Co-Creation Approach for Community Innovation 2024: Living Lab as Co-Creation Approach 2023: Co-Creation for Technology Development Haga actively contributes to national policy discussions as a Cabinet Office committee member for elderly population studies (2020-2021, 2025-2026) and leads international youth development initiatives. Her teaching portfolio spans German language instruction, socio-cultural studies, and entrepreneurship education, reflecting her commitment to cross-cultural knowledge exchange and practical application of theoretical frameworks.

• social psychology
• decision science
• behavioral metrics
• +۳ مورد دیگر

Kazuhisa Takemura is a Professor at Waseda University's School of Humanities and Social Sciences where he has served since 2003. He also directs the Waseda University Center for Decision Research (since 2007) and serves as Director of the Medical Safety Promotion Organization. His academic credentials include dual doctorates: a Ph.D. in System Science from Tokyo Institute of Technology (1994) and a Ph.D. in Medicine from Kitasato University (2013). Dr. Takemura's educational journey began at Doshisha University with undergraduate and graduate studies in Psychology, followed by interdisciplinary studies at Kyoto Institute of Technology. His research career shows a remarkable interdisciplinary trajectory spanning psychology, medicine, mathematics, and decision science. His research focuses on social psychology and behavioral decision theory, with specific interests in consumer behavior, risk perception, and decision-making processes. He employs diverse methodologies including eye-tracking experiments, mathematical modeling, and neuroeconomic approaches. Recent work examines multi-attribute decision strategies, consumer responses to energy labels, breast cancer screening behavior, and risk tolerance measurement across cultures. His research demonstrates consistent integration of theoretical frameworks with practical applications in consumer protection, medical decision-making, and public policy. Dr. Takemura's recent publication record shows remarkable productivity, with numerous articles in 2023-2025 across journals spanning psychology, mathematics, public health, and energy efficiency. His work reveals interdisciplinary connections between cognitive psychology, behavioral economics, and mathematical modeling of decision processes. He frequently collaborates with researchers across disciplines and countries, demonstrating global engagement in his field. Award for Science and Technology from MEXT (2024) for 'Reconstruction of Behavioral Decision Theory and Its Social Practical Research' Distinctive Achievement Award (Chikio Hayashi Award) from Behaviormetric Society (2022) Kimura Award from Transdisciplinary Federation of Science and Technology (2021) Fellow of the International Association of Applied Psychology (2018) Multiple Best Paper Awards across various academic societies Dr. Takemura serves as Editor in Chief of The Japanese Society of Theoretical Psychology journal and on editorial boards for Scientific Reports (Springer Nature) and The Japanese Society of Social Psychology. His leadership extends to directing research centers and participating in national and international research collaborations. His work bridges theoretical advancements in decision science with practical applications in consumer protection, medical decision-making, and public policy development. He leads the Waseda University Center for Decision Research, which functions as an interdisciplinary hub investigating human decision processes through psychological, economic, and mathematical perspectives. His research program demonstrates how theoretical insights about human decision-making can inform practical interventions in consumer protection, healthcare, and public policy.

• Educational technology
• Second Language Acquisition
• Artificial Intelligence in Education
• +۴ مورد دیگر

John Maurice Gayed is an Associate Professor at the Global Education Center of Waseda University . Holding a PhD from Tokyo Institute of Technology (2023) , he specializes in Educational Technology , focusing on AI-driven tools for language learning and metacognitive strategies. Research Themes : AI writing assistants, equity in educational technology, cognitive load reduction for EFL learners. Grants : Japan Society for the Promotion of Science (JSPS) Grant (2022.04–2025.03) for AI-based writing assistant studies. Courses Taught : Academic Writing and Discussion in English (Alpha/Beta) for undergraduate and retaker students. His publications (9+3) span Computer Science , Linguistics , and Education , with key trends including: AI-based writing tools (e.g., AI KAKU, Grammarly) for EFL learners. Metacognitive training in online learning environments. Equity implications of educational technology (Matthew effect in CALL). Twine for nonlinear educational storytelling. Climate risk mitigation tools for elderly populations. MOOCs and blended learning in cross-cultural contexts. Grant Details : His JSPS-funded project investigates AI writing assistants' long-term impact on EFL writing proficiency. Collaboration with May Kristine Jonson Carlon and Jeffrey S. Cross is frequent, with tools like AI KAKU and metacognitive tutors being central to his work.

• Software Engineering
• Human-Computer Interaction
• Artificial Intelligence
• +۳ مورد دیگر

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.

• High Performance Computing
• Entertainment and Game Informatics
• Human Interface and Interaction
• +۳ مورد دیگر

Dr. Tsukasa Fukusato is an Assistant Professor at the School of Fundamental Science and Engineering , Waseda University since April 2023. His work spans Human Interface and Interaction , Entertainment Informatics , and High-Performance Computing , with a focus on interactive systems for digital art and animation. Current Research: Developing interactive tools for 2D/3D animation, workflow systems in bioinformatics, and AI-assisted artistic creation Technical Expertise: Latent diffusion models, motion segmentation, sketch-based interfaces, garment transfer, and aerodynamic design His recent publications (2022-2024) demonstrate advancements in: Animation and motion design (15+ papers) Workflow execution services AI-guided facial synthesis Interactive garment/textile modeling Biomechanical simulation systems Visual language interfaces Scientific Awards: 2024 Best Poster Award (NICOGRAPH) 2023 Honorable Mention (Computational Visual Media) Multiple Best Paper/Poster awards (2014-2023) 2014 Nishida Award from the Institute of Image Information and Television Engineers of Japan Teaching Activities (2025): Lecturer for Computer Graphics, Media Science, and Project-Based Learning Supervising graduation theses and advanced digital media projects

• Intelligent informatics
• Safety engineering
• Social systems engineering
• +۸ مورد دیگر

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.

• Human Interface and Interaction
• Ergonomics/Human Factors
• Virtual Reality
• +۳ مورد دیگر

Takashi Kawai is a Professor at the Department of Intermedia Art and Science, School of Fundamental Science and Engineering, Waseda University , since 2008. He earned his Ph.D. in Human Sciences (1998), MA (1995), and BA (1993) from Waseda University. His career includes visiting professorships at the Institute of Behavioral Sciences, University of Helsinki (2008–2016). Education: Ph.D., MA, BA in Human Sciences (Waseda University) Appointments: Waseda University (1998–Present), University of Helsinki (Visiting Professor) Research interests focus on Human Interface and Interaction , Ergonomics/Human Factors , and 3D Display Systems . He investigates VR Sickness , Visual Fatigue , and Cross-Modality Sensory Effects in virtual environments. Publication trends show a strong focus on VR User Experience , 3D Visual Systems , and Ergonomic Design for emerging technologies like Head-Mounted Displays and Automated Vehicles . His works often combine Psychophysiological Measurements with Human Behavior Analysis . Awards include: Japan Ergonomics Society Research Award (2022, 2009) Charles E. Ives Journal Award (2019) Best Paper Award (2014) The Best Use of Stereoscopic Presentation Tools (2004) Mobile Content Forum Mobile Movie Award (2001) Azusa Ono Memorial Award (1994) Labs and teams include collaborations with the Institute of Behavioral Sciences (University of Helsinki) , Virtual Reality Society of Japan , and projects involving NIRS brain imaging , Autostereoscopic Displays , and 3D Digital Archiving of cultural heritage.

• Natural Language Processing
• Computational Linguistics
• Artificial Intelligence
• +۲ مورد دیگر

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
• +۱ مورد دیگر

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.

• Human-Computer Interaction
• Virtual Reality
• Mixed Reality
• +۴ مورد دیگر

Yoshihiro Banchi serves as an Assistant Professor (non-tenure-track) at the School of Fundamental Science and Engineering, Faculty of Science and Engineering, Waseda University. His academic career spans human-computer interaction with specialization in virtual and mixed reality systems. Dr. Banchi is an active member of the Virtual Reality Society of Japan, Japanese Society for Artificial Intelligence, Japan Office Studies Association, and Japan Ergonomics Society, demonstrating his interdisciplinary approach to research. Dr. Banchi's research focuses on Human-Computer Interaction, Virtual Reality, Mixed Reality, and Human Factors and Ergonomics. His work investigates user experience in immersive environments, physiological responses to visual stimuli, and motion sickness mitigation strategies. He has developed innovative approaches using deep learning to predict user discomfort and optimize VR/MR experiences. His research bridges computer science, psychology, and engineering to solve practical challenges in immersive technology design. Analysis of Dr. Banchi's publication record reveals a consistent trajectory of interdisciplinary research with increasing emphasis on practical applications. His work spans fundamental studies of human perception in VR environments to applied sports data analytics. Recent publications show growing integration of deep learning techniques with physiological measurements for real-time user state estimation, particularly in automotive contexts and sports performance analysis. Dr. Banchi's scientific achievements have been recognized through multiple prestigious awards: Winner of the 2024 Sports Data Science Competition eSports Division 2025.01 Japan Statistical Society Sports Data Science Subcommittee Visualization of Players' Attack Intentions in Preemptive Attacks in "Puyo Puyo" 2023 Sports Data Science Competition Basketball Division Excellence Award 2023 Sports Data Science Competition Judo Division Grand Prize 2022 Sports Data Science Competition Judo Division Grand Prize 11th Sports Data Analysis Competition, Baseball Division, Grand Prize 10th Sports Data Analysis Competition, Gateball Division, Excellence Award As an educator, Dr. Banchi teaches courses including Human Factors and Ergonomics in Data Science across multiple Waseda University schools, Basic Experiments in Science and Engineering, Virtual Reality, and the Endowed Lecture by Sony Group. His research program includes multiple internally funded projects examining human state estimation, visual usability in XR, and ergonomic data augmentation technology. His work frequently involves industry collaboration, particularly with Sony Group, reflecting his commitment to translating academic research into practical applications. Dr. Banchi's research environment focuses on the intersection of human perception and immersive technologies, with particular attention to motion sickness mitigation, user experience optimization, and practical applications of VR/MR in sports analytics and automotive contexts. His team employs a multidisciplinary methodology combining physiological measurements, eye tracking, deep learning algorithms, and user-centered design principles to advance the field of immersive human-computer interaction.

• Electron device and electronic equipment
• Chemical reaction and process system engineering
• Wireless sensor networks
• +۴ مورد دیگر

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.

Qi Fengمشاهده پروفایل

استادیار

• Deep Learning
• Computer Graphics
• Computer Vision
• +۵ مورد دیگر

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

• Wireless Communication
• Optical Wireless Communication
• Satellite Communication
• +۴ مورد دیگر

Shigeru Shimamoto is a Professor at Waseda University's School of Fundamental Science and Engineering, Faculty of Science and Engineering. His research spans wireless communication systems, biomedical sensing technologies, and intelligent transportation solutions. Since 2014, he has led the Communication and Computer Engineering department at Waseda University, previously serving as Director of the Global Information and Telecommunication Institute (2020-2024). 2008: Visiting Professor at Stanford University's Electrical Engineering 2000-2002: Research Assistant at University of Electro-Communications Key research areas include: Wireless Communication: OTFS modulation, NOMA, RIS-aided systems, and microwave-based vital sensing Smart Healthcare: Non-contact blood pressure monitoring, SpO2 estimation using microwave reflection Transportation Optimization: On-street parking analysis, traffic flow modeling, and energy-efficient vehicular networks Awarded the 2024 Commendation for Science and Technology from MEXT, his work demonstrates strong interdisciplinary impact combining communication engineering with medical applications. Recent publications focus on machine learning integration in gesture recognition, vehicular detection, and resource allocation for autonomous systems.