جست‌وجوی استاد و پژوهشگر

• Polymer Synthesis
• Functional Polymers
• Organic Electronic Devices
• +۴ مورد دیگر

Takeo Suga is an Associate Professor at Waseda University's Department of Applied Chemistry within the Faculty of Science and Engineering. He holds a Doctor of Engineering degree from Waseda University (2007) and has been at the institution since 2007, progressing from Research Associate to his current tenured position. His academic career spans multiple roles including Post-doctoral Fellow at Virginia Tech (2005-2007) and various committee roles in professional societies. Research Interests Education Professional Memberships Scientific Awards Teaching Experience Professor Suga's research focuses on Polymer Synthesis for Functional Polymers and Organic Electronic Devices . His work addresses energy conversion and storage through dielectric materials, redox-active polymers, and photocatalytic systems. Key contributions include developing isotactic polyacrylonitrile for high-energy-density capacitors and designing redox-switchable block copolymers for resistive memory devices. His publications demonstrate expertise in Materials Science , Electrochemistry , and Chemical Engineering . Notable achievements include enhancing TEMPO-based polymers for battery applications, optimizing interdomain spacing in polythiourea dielectrics, and pioneering metal-free photocathodes for water splitting. These studies span from fundamental polymer chemistry to industrial applications in solar cells and fuel cells. 15+ peer-reviewed articles in journals like Advanced Materials , ACS Macro Letters , and Macromolecules Over 3000 Scopus citations and 3900+ Google Scholar citations h-index of 24 (Scopus) and 27 (Google Scholar) Scientific Recognition: Mizuno Award (Waseda University, 2007) WISE Fellowship (2004) Multiple awards from the Society of Polymer Science Japan (2006-2017) IUPAC Macro2012 Lecture Award He actively contributes to academic communities through roles in the Kanto Branch of The Chemical Society of Japan and the Society of Polymer Science, Japan . His research integrates polymer chemistry with energy technologies, fostering collaborations across materials science and electrochemistry.

• Combinatorial Algorithms
• Decision Diagrams
• Blockchain Technology
• +۴ مورد دیگر

KAWAHARA Jun is an Associate Professor at the Department of Communications and Computers Engineering, Graduate School of Informatics, Kyoto University. He leads research in combinatorial algorithms and decision diagram applications. Research focuses on combinatorial reconfiguration, network reliability, and blockchain algorithm design Key technical contributions include ZDD-based enumeration frameworks His recent publications (2020-2025) span: Graph enumeration techniques using decision diagrams Reconfiguration problem algorithms Blockchain network optimizations Combinatorial optimization applications Notable awards include: 2024 Japan Society for Artificial Intelligence Best Presentation Award 2022 LA/EATCS-Japan Presentation Award 2019 Japanese Society for Computation and Statistics Award 2008 COMP-NHC Best Paper Award Current grants include multiple JSPS-funded projects in combinatorial algorithms and blockchain research. He collaborates with researchers like Shin-ichi Minato and Masaharu Kasahara on graph theory and network security applications.

Hayato Chibaمشاهده پروفایل

استاد

• Dynamical Systems
• Bifurcation Theory
• Singular Perturbation Theory
• +۹ مورد دیگر

Hayato Chiba is a Professor of Mathematics at the Advanced Institute for Materials Research (AIMR) at Tohoku University in Japan. His research focuses on dynamical systems theory, particularly bifurcation theory, synchronization phenomena, and the Kuramoto model of coupled oscillators. He has made significant contributions to understanding synchronization in infinite-dimensional systems and their applications to diverse fields including machine learning, brain science, and diabetes research. Chiba received his PhD from Kyoto University's Graduate School of Information Science in 2009. After serving as a Japan Society for the Promotion of Science Special Researcher and holding positions at Kyushu University, he became a Professor at Tohoku University's Institute for Advanced Materials Science in 2019. His academic journey demonstrates a strong progression from theoretical mathematics to interdisciplinary applications. Chiba's research interests span dynamical systems theory , differential equations , and nonlinear functional equations , with particular focus on bifurcation theory, chaos, and the Painlevé equations. His work bridges abstract mathematical theory with practical applications in physics, engineering, biology, and medicine. Recent research has explored synchronization phenomena in coupled oscillator systems, which have implications for understanding brain function, cardiac rhythms, and other biological processes. His approach combines rigorous mathematical analysis with computational methods to tackle problems in systems with large degrees of freedom. Chiba's publication record shows a consistent focus on advancing the mathematical theory of synchronization, particularly through spectral methods and bifurcation analysis. His work demonstrates progression from foundational theoretical work to increasingly applied research, with recent papers addressing medical applications. The Kuramoto model and its variants form a central theme throughout his work, showing evolution from basic theoretical analysis to applications in neuroscience and other fields. 2013 2nd Hiroshi Fujiwara Mathematical and Physical Science Awards for 'The solution that combines the oscillator system's ideas' 2016 Minister of Education, Culture, Sports, Science and Technology Commendation Award for Wakatek Scholars 2018 Kyushu University Lecture Award Chiba has secured substantial external funding throughout his career, including JSPS grants, JST SAKIGAKE projects, CREST funding, and Medical Research and Development Projects. His research group explores the mathematics of synchronization phenomena through both theoretical development and experimental validation, as evidenced by his metronome synchronization demonstrations. Chiba actively collaborates across disciplines, working with physicists, biologists, and medical researchers to apply mathematical insights to real-world problems.

• Lexical-Functional Grammar
• Constraint-based Grammar
• Linguistic Typology
• +۷ مورد دیگر

Ryo Otoguro is a Professor at Waseda University's Faculty of Law, specializing in theoretical linguistics. He holds a PhD from the University of Essex and has been at Waseda since 2009, progressing from Assistant Professor to Professor. His research focuses on Lexical-Functional Grammar, constraint-based approaches, and linguistic typology, with particular emphasis on morphology-syntax interfaces across languages including Japanese, Germanic, and Romance languages. His research examines case systems, agreement phenomena, verb inflection, modality, and negation through formal linguistic frameworks. Otoguro develops models connecting conceptual structures with linguistic representations using mathematical functions, contributing to theories of language evolution from primitive to complex grammatical systems. Otoguro has received the British Government Overseas Research Students Award (2003) and secured multiple JSPS grants including studies on agreement phenomena (2017-2020), verb inflection (2014-2017), and modality (2011-2013). As Director of Waseda's Institute for the Study of Language and Information (2021-2025), he leads research initiatives while teaching linguistics courses across departments.

• Linguistics
• Foreign Language Education
• Corpus Linguistics
• +۳ مورد دیگر

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.

• Wireless Communication
• Wireless Sensing
• Wireless Network Systems
• +۵ مورد دیگر

Professor Jiang Liu is a distinguished academic at Waseda University's Faculty of Science and Engineering, where he serves as a Professor in the Global Center for Science and Engineering. Previously, he held positions as Associate Professor (2017-2024), Assistant Professor (2014-2017), Junior Researcher (2012-2014), and Research Assistant (2009-2012), demonstrating a steady progression in his academic career at the same institution. Dr. Liu holds a Doctor of Science and Master of Science in Global Information and Telecommunication Studies from Waseda University. His professional affiliations include the Institute of Electrical and Electronics Engineers (IEEE), IET, and the Institute of Electronics, Information and Communication Engineers (IEICE). His research spans multiple cutting-edge domains with a strong focus on Wireless Communication and Sensing , Wireless Network Systems , and Optical Wireless Communications . Dr. Liu has pioneered non-contact medical measurement techniques using microwave and infrared technologies for blood pressure monitoring, blood glucose measurement, and arteriosclerosis detection. His work bridges engineering and healthcare applications, developing AI-powered diagnostic systems for cardiovascular diseases, breast tumor classification, and autism detection. He also contributes significantly to energy systems research, particularly in photovoltaic power forecasting and building energy management. Dr. Liu has an impressive publication record with 109 papers, accumulating 868 citations (Scopus) and 1190 citations (Google Scholar), with h-indices of 14 and 15 respectively. His recent work shows a strong trend toward interdisciplinary research combining wireless communications, machine learning, and healthcare applications, with numerous 2024-2025 publications reflecting his active research program. His scientific contributions include innovative approaches to non-contact medical diagnostics, wireless communication systems, and energy-efficient computing. Dr. Liu's work on wireless-powered edge computing networks, non-invasive blood glucose monitoring, and brain-computer interfaces has established him as a leader in applying communication technologies to solve healthcare challenges. As an advisor and researcher, Dr. Liu leads projects that integrate multiple disciplines, from developing machine learning models for medical diagnostics to creating novel wireless communication frameworks for Internet of Vehicles and edge computing applications. His laboratory focuses on practical implementations of theoretical concepts, with many projects resulting in tangible healthcare and communication technologies.

• Educational Technology
• e-Learning
• Distance Education
• +۵ مورد دیگر

Shoji Nishimura is a Professor at the Faculty of Human Sciences, Waseda University, where he has served since 2006. Prior to his current position, he was an Associate Professor (2004-2006) and Assistant Professor (1997-1999) at the same institution. He holds a Doctor of Philosophy in Human Sciences from Osaka University and a Master of Science from Waseda University. Dr. Nishimura's educational background includes graduate studies in Pure and Applied Physics at Waseda University Graduate School and undergraduate studies in Mathematics at Waseda University Faculty of Science and Engineering. His academic journey reflects a strong foundation in quantitative disciplines that has informed his research in educational technology and data analysis. Dr. Nishimura's primary research interests focus on Educational Technology, Distance Education, and e-Learning . His work spans multiple domains including health informatics, biometrics, and human factors engineering. He has made significant contributions to the development of e-learning systems, particularly for tacit knowledge transfer and advanced skill acquisition. His research increasingly integrates health data analysis, wearable devices, and gait recognition technologies, demonstrating an interdisciplinary approach that bridges educational theory with practical applications in healthcare and safety. His recent publications (2020-2025) reveal a clear trend toward sophisticated health data analytics and biometric applications. The research shows increasing sophistication in causal analysis of health data, development of trustworthy decentralized health data systems, and applications of motion analysis for safety assessment. His work on gait recognition and driver behavior analysis demonstrates practical applications of his theoretical frameworks in real-world safety contexts. The shift from purely educational technology to health-focused applications represents a significant evolution in his research trajectory. Dr. Nishimura is actively involved in several major research projects including the development of e-learning systems for tacit knowledge transfer, research on broadcasting-telecommunications cooperation, and empirical studies on active learning behavior. His work has been supported by prestigious funding sources including Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research. He maintains active membership in numerous professional societies including The Institute of Electronics, Information and Communication Engineers, Information Processing Society of Japan, The Botanical Society of Japan, The Society of Population Ecology, Ecological Society of Japan, Japanese Society for Information and Systems in Education, and Japan Society for Educational Technology, reflecting the interdisciplinary nature of his work.

• Theory of Informatics
• Computer Systems
• Distributed Algorithms
• +۲ مورد دیگر

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

TSUMURA Tomoakiمشاهده پروفایل

استاد

• Parallel Processing
• High Performance Computing
• Computer Architecture
• +۷ مورد دیگر

TSUMURA Tomoaki is a Professor at the Department of Information Engineering, Graduate School of Engineering, Nagoya Institute of Technology. With a Doctor of Informatics from Kyoto University (2004), he has established himself as a leading researcher in computer architecture, parallel processing, and high-performance computing. His academic career spans from research assistant positions at Kyoto and Toyohashi Universities to his current professorship at Nagoya Institute of Technology. Graduated from Faculty of Engineering, Kyoto University (1996) Master of Engineering, Graduate School of Engineering, Kyoto University (1998) Doctor of Informatics, Graduate School of Information and Communication, Kyoto University (2004) Professor TSUMURA's research focuses on parallel processing systems, high-performance computing architectures, and innovative memory systems. His work bridges theoretical computer science with practical implementations, particularly in transactional memory systems, auto-memoization processors, and GPU computing. His research group has made significant contributions to shared memory parallel computing platforms that balance productivity and performance, with recent work extending to approximate computing applications and energy-efficient processor designs. His publication record shows a consistent output of high-impact research, with numerous papers presented at prestigious venues like xSIG, IEEE conferences, and IPSJ journals. The research trends indicate a strong focus on practical computing systems that address real-world challenges in parallelism, memory management, and energy efficiency. Recent work has particularly emphasized GPU computing, transactional memory systems, and precision optimization in numerical computing. Computer Science Field Achievement Award (IPSJ, 2019) Activity Contribution Award (IEICE, 2017) Multiple Best Paper/Research Awards from IEEE, ICNC, and xSIG conferences 1st Place in Championship Branch Prediction (CBP 2025) Professor TSUMURA has successfully secured substantial research funding, including multiple JSPS Grant-in-Aid projects spanning from 2006 to the present. His current major project "Software cache and distributed time management for shared memory massively parallel computing platform" (2025-2029) continues his long-standing research trajectory. He actively advises numerous graduate students, with many appearing as first authors on publications where he serves as corresponding author. His leadership extends to committee memberships including Chair of the IPSJ System Architecture Research Group and Editor-in-Chief of the IPSJ Journal of Computing Systems. Through his laboratory (tsumulab.org), Professor TSUMURA leads a research team focused on next-generation computing systems, with particular emphasis on practical implementations of theoretical concepts in computer architecture. The lab maintains strong industry and academic collaborations, evidenced by joint research projects and participation in international competitions like Championship Branch Prediction.

• Distributed Systems
• Network Systems
• Operating Systems
• +۳ مورد دیگر

Hiroshi Matsuo is a Professor in the Department of Information Engineering at Nagoya Institute of Technology's Faculty of Engineering, with additional affiliations in the Graduate School of Engineering (Network Program) and Information Technology Center. His research focuses on distributed systems, network architecture, and operating systems with practical applications in cloud infrastructure. Education: Doctor of Engineering, Nagoya Institute of Technology (1989) Master of Engineering, Nagoya Institute of Technology Bachelor of Engineering, Nagoya Institute of Technology (1983) Matsuo's research centers on performance optimization in virtualized environments, particularly addressing bottlenecks in network I/O, distributed databases, and cloud-native applications. His work bridges theoretical informatics with practical system implementations, emphasizing real-world scalability and efficiency in high-throughput computing environments. Key contributions include novel caching mechanisms, transaction processing acceleration, and resource contention solutions for virtual network functions. Recent publications demonstrate consistent focus on network function virtualization and distributed systems, with increasing emphasis on hardware-aware optimizations and transparent proxy architectures. His team's work shows strong progression from foundational operating system research toward cloud-native infrastructure solutions, maintaining relevance in both academic and industrial contexts. Awards: IEEE NFV-SDN 2018 Best Paper Award 12th IEICE Communications Society Paper Award (2017) 2022 IEICE Information and Communication Management Research Award 1st International Conference on Networking and Computing Best Paper Award (2010) JAWS2010 Excellent Paper Award Matsuo has supervised numerous graduate students evident through co-authorship patterns in publications, particularly in network systems and distributed computing. His research has been supported by institutional projects on distributed processing frameworks, though specific grant details aren't publicly documented. He maintains active industry collaborations through his work on Microsoft Defender integration and enterprise networking solutions. His laboratory within Nagoya Institute of Technology's Network Field focuses on practical systems research, combining DPDK-based implementations with theoretical performance modeling. Current work emphasizes cache optimization for virtualized network functions and transaction processing acceleration in distributed databases, maintaining strong ties to industry partners through the Information Technology Center.

• Network Engineering
• Quality of Experience
• Information-Centric Networking
• +۳ مورد دیگر

Toshiro Nunome serves as Associate Professor in the Department of Information Engineering at Nagoya Institute of Technology, Japan, specializing in network engineering and Quality of Experience (QoE) optimization for multimedia systems. His research focuses on Information-Centric Networking (ICN), adaptive bitrate streaming, and multi-view video transmission, with significant contributions to IEEE and IEICE publications. Dr. Nunome earned his Doctor of Engineering and Master of Engineering degrees from Nagoya Institute of Technology, where he also completed undergraduate studies in the Faculty of Engineering, Department of Electrical and Computer Engineering (1998). Prior to academia, he worked as Researcher at Pioneer Corporation's AV & Network Development Center (2000-2001). Doctor (Engineering), Nagoya Institute of Technology Master (Engineering), Nagoya Institute of Technology B.E., Nagoya Institute of Technology (1998) His research centers on user-perceived quality in multimedia delivery systems, particularly investigating cache control mechanisms in ICN/CCN architectures, multi-view video synchronization, and protocol impacts (HTTP/3, WebRTC) on streaming quality. Current work addresses emerging challenges in 5G environments, multi-link operation (MLO), and cloud gaming through rigorous subjective evaluation methodologies. Key innovations include cache hit judgment algorithms for adaptive streaming and QoE models for viewpoint changes in multi-view content. Analysis of his 10 recent publications (2024-2025) reveals a cohesive research trajectory emphasizing practical ICN/CCN implementations for QoE enhancement. The work spans theoretical modeling (cache decision policies) and applied studies (WebRTC in cloud gaming), consistently targeting real-world network constraints. A notable trend involves cross-layer optimization techniques bridging network protocols and human perception metrics. Dr. Nunome's scholarly recognition includes: IEICE Communication Quality Study Group 2021 Meritorious Service Award (2022) ICCE-TW 2021 Best Paper Award Third Place (2021) IEICE Information and System Society Activity Meritorious Service Award (2019) Multiple IEICE Communication Society Activity Awards (2010-2019) He currently leads the Japanese Grant-in-Aid project 'ICN/Wireless LAN Integrated Scalable Distribution Technology' (2024-2027) as Principal Investigator, continuing a 20-year history of competitive funding including 'QoE-based Multi-View Video Transmission' (2011-2014). His professional service spans editorial roles (IEICE Transactions) and committee leadership in IEICE Technical Committees on Communication Quality and Information-Centric Networking. Dr. Nunome actively contributes to the IEICE Technical Committee on Communication Quality and IEICE Technical Committee on Information-Centric Networking, while maintaining affiliations with IEEE, IEICE, and ITE societies. His work bridges academic research and industrial applications through ongoing collaborations with Japan's networking community.

Yonghwan Kimمشاهده پروفایل

دانشیار

• Distributed Algorithms
• Optimization
• Autonomous Mobile Robot Systems
• +۴ مورد دیگر

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

• Natural Language Processing
• Automated Text Summarization
• Computer Assisted Language Learning
• +۶ مورد دیگر

Professor Manabu Okumura is affiliated with the Advanced Information Processing Division at Tokyo Institute of Technology, leading the Precision and Intelligence Laboratory. His research focuses on natural language processing (NLP), automated text summarization, and speech dialogue systems, emphasizing real-time, user-friendly interaction. Key areas include incremental language understanding, robustness in ill-formed input analysis, and semi-automatic lexical acquisition. His work addresses challenges like syntactic-semantic integration using case frame analysis, ellipse resolution in Japanese, and associative lexical relations extraction from corpora. Research projects include communication assistive technologies for disabled individuals and natural language-driven animation control. Publications span foundational NLP topics such as word sense disambiguation via semantic networks, zero pronoun resolution using centering theory, and incremental discourse processing. The lab collaborates on bilingual corpus analysis for lexicon development and maintains a focus on practical applications of theoretical advances.

Motoko Kotaniمشاهده پروفایل

استاد

• Geometry
• Topological Data Analysis
• Graphene Modeling
• +۳ مورد دیگر

Motoko Kotani is a Professor at the Department of Mathematics , Graduate School of Science , Tohoku University , and serves as Principal Investigator at the Advanced Institute for Materials Research (AIMR). She leads the Mathematical Application Research Team at RIKEN Center for iTHEMS and has held positions such as Director of WPI-AIMR (2012–2020) and Executive Vice President for Research at Tohoku University since 2021. Her research focuses on geometric and topological analysis of materials, particularly graphene and amorphous structures, bridging mathematics with materials science. Recent work includes topological classification of weaves, heat conduction in germanium, and mathematical modeling for battery technologies. The 15 most recent publications highlight her work in applied mathematics and materials science , with sub-fields spanning topological data analysis, graphene geometry, jammed matter, and SDG-related science policy. She has contributed to the UN 10-Member Group (2024–2025), advising on science and technology for sustainable development. Asia’s 50 top women scientists (AASSA, 2019) Appointed to UN 10-Member Group (2024) As a science advisor to Japan’s Minister for Foreign Affairs (2022) and President-Elect of the International Science Council (2021), she emphasizes international collaboration. Her lab ( M. Kotani Laboratory ) hosts regular seminars on mathematical applications in materials science.

Hirokazu Takahashiمشاهده پروفایل

استاد

• Neuroscience
• Neural engineering
• Electrophysiology
• +۱۳ مورد دیگر

Hirokazu Takahashi is a Professor and Principal Investigator at the Department of Mechano-Informatics, Graduate School of Information Science and Technology, University of Tokyo. He leads the Bio-Intelligence Systems Lab, where his team approaches neuroscience from a mechanical engineering perspective. His research spans multiple scales of neural networks, from dissociated neuronal cultures to rodent and human brains. Born in Sendai, Japan (1975) B.S., M.S., Ph.D. in Mechanical Engineering from University of Tokyo (1998, 2000, 2003) Assistant Professor at Department of Mechano-Informatics (2004) Associate Professor (2019) Professor (2023) His research focuses on reverse engineering the brain to understand neural computation in the cerebral cortex. His lab develops novel experimental methods including high-density microelectrode arrays to obtain large-scale neural data, which is then analyzed using machine learning and AI techniques. Key research areas include emergent computing with dissociated neuronal cultures, auditory system processing in rodents, and epilepsy research in both animal models and humans. The lab investigates how intelligence, consciousness, and fine arts emerge from neural networks at various scales. His recent publications demonstrate significant advancements in understanding spontaneous beat synchronization in rats, physical reservoir computing with living neuronal cultures, and vagus nerve stimulation effects on cortical responses. His work bridges engineering, neuroscience, and informatics to extract design principles of brain function. Engineering Department Head Award (Research) for student Kiki Mamiya Professor Takahashi has supervised numerous students through graduation theses, master's theses, and doctoral research. His lab maintains extensive collaborations with institutions including ETH Zurich, Maxwell Biosystems, Monash University, and NTT. His research is funded through various grants supporting interdisciplinary work at the intersection of mechanical engineering and neuroscience. The Bio-Intelligence Systems Lab operates at the cutting edge of neural engineering, developing technologies such as high-density CMOS arrays with 10,000 recording sites and creating bio-silicon hybrid sensors. The team investigates neural representation with functional maps, learning-induced plasticity, auditory streaming, and mismatch negativity. Current projects include studying the effects of music on brain activity, developing seizure detection algorithms, and exploring the mechanisms of vagus nerve stimulation.