جست‌وجوی استاد و پژوهشگر

• Control and system engineering
• Thermal engineering
• Heat and Mass Transfer
• +۶ مورد دیگر

Niccolo Giannetti is currently an Associate Professor at Waseda University, affiliated with the Department of Applied Mechanics and Aerospace Engineering and the Waseda Institute for Advanced Study. His career spans roles including Assistant Professor at Waseda University (2017-2021) and Research Associate (2014-2017). Doctor of Engineering, Waseda University Professional Engineer, Association of Professional Engineers of Florence Giannetti's research focuses on thermal engineering and fluid dynamics , particularly in heat and mass transfer, thermodynamic optimization, and absorption/refrigeration systems. He explores microchannel heat exchangers , two-phase flow distribution , and genetic programming for system modeling . His work integrates machine learning for performance prediction and variational principles in entropy production analysis. His recent publications emphasize heat pump optimization , ANN-based HVAC monitoring , and sorption systems . Awards include recognition from JSRAE, Elsevier, and IIR. Giannetti contributes to international standards (ISO, IEA) and serves on conference committees (ISHPC, IIR). Key publications address flow maldistribution, void fraction modeling, and energy-efficient desiccant systems using ionic liquids.

• Structure engineering
• Earthquake engineering
• Concrete material engineering
• +۴ مورد دیگر

Sopokhem Lim is a Researcher at the Faculty of Science and Engineering, Waseda University , specializing in structural engineering, concrete material science, and corrosion effects on infrastructure. His work integrates X-ray imaging , finite element (FE) modeling , and probabilistic analysis to study steel corrosion variability, fiber-reinforced concrete performance, and structural reliability in marine environments. Research Interests: Steel fiber-reinforced concrete (SFRC), corrosion-induced cracks, FE modeling, X-ray technology, spatial corrosion distribution, and life-cycle cost analysis. Key Projects: Development of centrifugal-forming SFRC piles for shear reinforcement replacement, chloride corrosion mitigation using stainless steel rebars in coastal bridges, and Gumbel distribution-based reliability modeling for aging RC structures. His recent publications focus on carbon-neutral concrete technologies , fiber orientation control , and non-uniform corrosion effects on prestressed concrete beams. While no explicit awards or student advisement details are provided, his work emphasizes experimental validation of corrosion models and data-driven structural assessments using X-ray photogrammetry and digital image processing.

• Information Theory
• Coding Theory
• Statistical Learning Theory
• +۳ مورد دیگر

Shunsuke Horii is an Associate Professor at the Center for Data Science, Waseda University. His research spans information theory, coding theory, statistical learning theory, and data science applications. He actively collaborates with industry through initiatives like the Waseda Data Science Consortium. Education: Ph.D. in Science and Engineering from Waseda University (2009), Master's from Waseda University Graduate School of Science and Engineering (2004). Research Focus: Addresses causal effect estimation in data science using Bayesian decision theory, sparse modeling, and optimization techniques like ADMM and variational inference. Develops efficient algorithms for multiuser communication, matrix completion, and privacy-preserving distributed computing. Teaching: Instructs courses on statistics literacy, data science, and programming with Python/R across multiple academic quarters. Grants: Leads projects funded by Japan Society for the Promotion of Science, including causal inference frameworks, product recommendation systems, and business analytics. Publications: 21 papers with 61 Scopus citations, focusing on LP decoding, Bayesian hierarchical models, and statistical causal analysis.

• Logic Programming
• Constraint Programming
• Hybrid Systems
• +۲ مورد دیگر

Kazunori Ueda is a Professor at Waseda University's Faculty of Science and Engineering, with a career spanning over three decades in logic/constraint programming, hybrid systems, and concurrency. He has held visiting positions at the Egypt-Japan University of Science and Technology and part-time roles at the University of Tokyo. His research bridges theoretical advancements and practical implementations, focusing on languages like HydLa and LMNtal for hybrid and concurrent system modeling. Research Interests: Logic and Constraint Programming Hybrid Systems Modeling Concurrency and Parallelism Programming Language Design and Implementation Article Trends: Recent works emphasize symbolic simulation of hybrid systems, graph rewriting optimization, and distributed storage reliability. His work integrates interval arithmetic, constraint hierarchies, and formal verification techniques. Scientific Awards: Fellow, Japan Society for Software Science and Technology (2016) Fellow, Information Processing Society of Japan (2015) Basic Research Award, Japan Society for Software Science and Technology (2011) Multiple Best Paper and Encouragement Awards (1985–2010)

• Robot Manipulation
• Human Measurement
• Haptics
• +۱۲ مورد دیگر

Zixi Gu is an Assistant Professor at Waseda University's School of Creative Science and Engineering, Department of Integrative Bioscience and Biomedical Engineering, since 2025.04. With a Ph.D. in Engineering (2025) and Master of Engineering (2018) from Waseda University, their research focuses on Human-Machine Interfaces Wearable Sensor Systems Intelligent Robotics for Rehabilitation Muscle Activity Estimation Algorithms Research trends show a consistent focus on gait analysis and assistive robotics , utilizing IMU-based systems for real-time muscular activity measurement and developing training devices for elderly mobility preservation. Key innovations include non-contact sensors for knee extensor monitoring and humanoid robots for cultural acceptance in elder care. Scientific recognition includes 2019 : Best Student Paper Award, IEEE ICMA 2019 2019 : Best Paper Finalist, IEEE ICMA 2019 Current teaching responsibilities include Fundamentals of Robotics and Control Systems courses at Waseda University. Actively involved in research projects like the 2025 Research Base Formation Grant for academic infrastructure development.

• Optical Engineering
• Photon Science
• Applied Condensed Matter Physics
• +۴ مورد دیگر

Takayoshi Shimura is a Professor at Waseda University's Graduate School of Information, Production, and Systems . With a Ph.D. in Engineering from Nagoya University, he specializes in semiconductor materials and device physics, particularly focusing on Silicon Carbide (SiC) and Gallium Nitride (GaN) technologies. Current research emphasizes defect engineering in MOS structures Developing quantum photonics via color centers Optimizing epitaxial growth for optoelectronics His recent work reveals trends in nitrogen passivation , single-photon emitter fabrication , and high-temperature annealing for oxide reliability. Over 235 publications with 3,083 citations demonstrate his impact in applied physics and materials science. Scientific Awards : Multiple Japan Society of Applied Physics Poster Awards (2016, 2014) IWDTF Best Poster Award (2008) Research leadership includes: Collaborations with Osaka University and Waseda University Professional memberships in four major academic societies Patents and media coverage in 5 major publications (2018)

• Composite Materials
• Fatigue and Fracture Mechanics
• Nondestructive Inspection
• +۳ مورد دیگر

Atsushi Hosoi is a Professor at Waseda University's Faculty of Science and Engineering. His research focuses on composite materials, fracture mechanics, and fatigue analysis for structural integrity. Key Affiliations: Waseda University (2016–present), Nagoya University (2008–2014) Education: Engineering degree from Waseda University Research Interests encompass: Nondestructive inspection of composite materials Fatigue crack initiation and damage progression in CFRP Interlaminar fracture toughness and nanostructured bonding Carbon nanotube composites for mechanical/electrical enhancement High-cycle fatigue testing using ultrasonic methods Scientific Awards include: Hayashi Award (2020) from Japan Society for Composite Materials Ministry of Education Award for Young Scientists (2017) Funai Academic Award (2017) for composite reliability research JSME Paper Awards (2015, 2016)

• Semiconductor Physics
• Power Electronics
• Materials Science
• +۴ مورد دیگر

Professor Masashi KATO serves at Nagoya Institute of Technology within the Electrical and Electronic Engineering Program under the Graduate School of Engineering. His research focuses on semiconductor materials engineering, particularly wide-bandgap semiconductors like silicon carbide (SiC) for power electronics and artificial photosynthesis applications. His research interests center on Semiconductor Physics and Defect Engineering , with specific expertise in SiC power device reliability, carrier lifetime control, ion implantation techniques, and hydrogen production technologies. His work bridges fundamental materials science with practical applications in power electronics and renewable energy systems. Professor KATO's recent publications demonstrate strong trends in SiC defect characterization and recombination control , with significant contributions to understanding stacking fault suppression, surface passivation, and photocarrier dynamics. His research spans both fundamental semiconductor physics and applied energy conversion technologies. 46th (2024) Japan Society of Applied Physics Paper Award Nagai Technology Award (2021) Multiple Outstanding Reviewer Awards from IOP Publishing journals Minister of Education Award for Public Understanding Promotion He actively serves on numerous technical committees including ICSCRM2025/2026, SSDM2025, and as Program Committee Chair for the Japan Society of Applied Physics. His industrial property rights portfolio includes multiple patents related to SiC photoelectrodes and hydrogen production devices. Professor KATO maintains strong international collaborations, particularly with Lithuanian institutions, and serves as Principal Investigator for research projects dating back to 2000.

Madan Niraulaمشاهده پروفایل

استاد

• Semiconductor Radiation Detectors
• CdTe Crystal Growth
• Perovskite X-ray Detectors
• +۴ مورد دیگر

Professor Madan Niraula serves in the Department of Electrical and Electronic Engineering at Nagoya Institute of Technology's Graduate School of Engineering, where he leads semiconductor radiation detector research. His laboratory (SMD Lab) focuses on developing advanced materials for medical and industrial imaging applications. Doctor of Engineering, Shizuoka University (2000) Master's Degree, Shizuoka University (1997) B.E., Bangladesh University of Engineering and Technology (1993) B.Sc. in Biology, Tribhuvan University, Nepal (1987) Professor Niraula's research centers on semiconductor radiation detection technology, with particular expertise in CdTe crystal growth and perovskite-based X-ray detectors . His work addresses critical challenges in dislocation engineering, MOVPE epitaxy, and detector performance optimization for medical imaging applications. Recent investigations focus on halide perovskite single crystals and advanced annealing techniques to enhance radiation detection capabilities. Analysis of his publication record reveals consistent advancement in semiconductor detector technology, with increasing emphasis on perovskite materials since 2020 while maintaining core expertise in CdTe/Si heterostructures. His research demonstrates strong industry-academia collaboration through multiple patents and NEDO-funded projects. The Electrical Science and Engineering Promotion Awards (2012) 2004 Tokai Academic Promotion Prize Japan Society of Applied Physics Spring Meeting Award (2002) Professor Niraula has secured continuous research funding since 2003, including competitive Japanese scientific grants (Kakenhi) and industry partnerships with organizations like NEDO and the Nakatani Foundation. His laboratory maintains active collaborations with Brookhaven National Laboratory and international research institutions, evidenced by his committee roles in IEEE, SPIE, and the Applied Physics Society. Current projects focus on developing photon-counting X-ray detectors and improving CdTe growth techniques for medical imaging applications.

• Robotics
• Mechanical Engineering
• Fiber Optics
• +۳ مورد دیگر

Shinya Sadachika is a researcher affiliated with Tokyo Institute of Science , focusing on robotics, mechanical engineering, and materials science. His work centers on synthetic fiber rope mechanics, motion control systems, and sensing technologies. Research Highlights: Twisted string actuators, non-circular pulley fixation, Brillouin optical reflectometry, and semi-autonomous mobile systems Key Collaborations: Gen Endo, Hiroyuki Nabae, and other robotics experts His research combines material durability testing with advanced optical sensing and mechanical design innovations. Patents highlight practical applications in industrial systems. Scientific Awards: Not explicitly mentioned Grants: Not explicitly mentioned Lab affiliations and student mentorship details remain unspecified, though he contributes to international conferences and collaborative projects.

• Data Science
• Artificial Intelligence
• Statistical Causal Inference
• +۳ مورد دیگر

Shohei SHIMIZU is a Professor at Osaka University 's Department of Reasoning for Intelligence and a Specially Appointed Professor at Shiga University 's Faculty of Data Science . With a career spanning multiple institutions and roles, he has been pivotal in advancing causal discovery methodologies. His research focuses on Statistical Causal Inference Machine Learning for Observational Data Reliability of AI Systems Industry-Academia Collaborations Recent work includes differentiable causal discovery and counterfactual explanations for complex AI models, emphasizing applications in biomedical research and financial analysis . Key trends in his publications show a strong emphasis on non-Gaussian models , hidden variables , and scalable algorithms , with recent integrations of large language models and open-source Python tools . Students and Collaborations Ph.D. students: Yuji Sakamoto, Kentaro Tagawa, Yi Jiang, Yoshimitsu Morinishi, Daigo Fujiwara Collaborations: RIKEN AIP Causal Inference Team, JST CREST Project, Tokyo Institute of Technology

Yasutaka Kameiمشاهده پروفایل

استاد

• Empirical Software Engineering
• Software Reliability
• Software Testing and Debugging
• +۷ مورد دیگر

Yasutaka Kamei is a Full Professor at the Graduate School and Faculty of Information Science and Electrical Engineering , Kyushu University since 2024. He holds a Doctorate in Information Science from Nara Institute of Science and Technology and has been a InaRIS Fellow since 2023. His career spans roles as Associate Professor (2015-2023), Visiting Researcher at Queen's University (2015-2017), and Assistant Professor (2011-2015). Research Fields: Specializing in Empirical Software Engineering , he investigates software reliability, defect prediction, code review practices, and mining software repositories. His work on fuzz testing , technical debt , and automated program repair has produced influential frameworks like TraceJIT and PAFL . He pioneered studies on developer behavior in GitHub and federated learning for cross-project defect prediction. Scientific Trends: Recent publications focus on LLM applications in mutation testing , visual bug reporting , and CI/CD inefficiencies . His team explores developer-centric challenges in modern practices, including token-based micro commits and fuzzing build failures . Awards & Grants: InaRIS Fellowship (2023): 10-year, 100M yen grant for human-machine interaction in software development IPSJ/ACM Early Career Award (2013) Leadership: He chairs PC for MSR2018 , co-organizes NII Shonan Seminars , and serves on committees for ICSE , ASE , and SANER conferences. His editorial roles include Empirical Software Engineering and Automated Software Engineering journals.

Yuji Iwamotoمشاهده پروفایل

استاد

• Nanotechnology
• Inorganic Materials
• Ceramic Membranes
• +۴ مورد دیگر

Yuji Iwamoto is a Professor at the Department of Life and Applied Chemistry, Environmental Ceramics Field, Graduate School of Engineering, Nagoya Institute of Technology. His research spans nanotechnology, inorganic materials, and advanced ceramic applications for energy and environmental challenges. He maintains active international collaborations, particularly with French research institutions through CNRS projects. Education: Bachelor of Pharmaceutical Science, Nagoya City University (1985) Master of Organic Chemistry, Nagoya City University Graduate School (1987) Ph.D. in Science, University of Tokyo (2004) Iwamoto's research focuses on polymer-derived ceramics, hydrogen separation membranes, and phosphor materials. His work bridges fundamental material science with industrial applications, particularly in energy conversion and environmental protection. Recent breakthroughs include nickel-iron nanoparticle encapsulation for OER catalysis and superhydrophobic ceramic membranes for seawater desalination. His group specializes in controlling microstructure-property relationships in advanced ceramics through novel synthesis routes. Analysis of his 15 most recent publications reveals strong emphasis on hydrogen-related materials (membranes, catalysts) and nitride-based ceramics (silicon nitride, anti-perovskites). Key trends include in situ nanoparticle confinement within amorphous matrices, oxygen impurity effects on phase transformations, and multi-functional membrane design for energy applications. Scientific Awards: ACerS Global Ambassador (2024) Society Fellow, The American Ceramic Society (2022) Society Fellow, Ceramic Society of Japan (2022) Richard M. Fulrath Award (2006) Japanese Ceramic Society Academic Award (2006) Iwamoto has secured substantial competitive funding including JSPS KAKENHI grants totaling over ¥40 million and major NEDO/CHEST projects exceeding ¥150 million. His research group collaborates with industrial partners like Fuji Electric and TAIYO YUDEN on membrane technologies and ceramic components. He leads the FRESH international research project with CNRS focusing on functional ceramics for societal challenges. His laboratory specializes in polymer-derived ceramic synthesis, advanced membrane characterization, and high-temperature material testing. The group maintains strong ties with Japanese ceramic industry consortia and participates in standardization committees for ceramic materials.

• Communication and network engineering
• Measurement engineering
• Electron device and electronic equipment
• +۳ مورد دیگر

Makoto Tsubokawa is a Professor at the Faculty of Science and Engineering and Graduate School of Information, Production and Systems at Waseda University . His career spans multiple institutions, including a visiting scholar position at the University of California, Davis (2023-2024) and prior roles at NTT Labs and NTT-East Corp. Research Interests : Optical fiber sensors and polarization-maintaining fibers Fiber optic measurement techniques and mode coupling analysis Photonic network reliability and security in WDM/TDM systems Nanoscale optical devices and metasurface structures His work has focused on enhancing optical signal transmission, suppression of fiber fuse propagation, and innovative designs for photonic nanojets, bowtie core capillaries, and ultra-thin photodiodes. His recent publications (2023-2025) emphasize directional scattering for absorption enhancement, bidirectional nanoparticle transport, and MIMO-based network protection schemes. Education : Ph.D. in Engineering, Hokkaido University (1984) Master’s in Applied Physics, Hokkaido University (1982) B.Sc. in Applied Physics, Hokkaido University (1981) Professional Memberships : OSA (The Optical Society) IEEE (Institute of Electrical and Electronics Engineers) IEICE (Institute of Electronics, Information and Communication Engineers)

• Nanoionics
• Atomic Switches
• Reservoir Computing
• +۵ مورد دیگر

Tsuyoshi Hasegawa is a Professor at Waseda University's School of Advanced Science and Engineering, holding a Ph.D. in Physics from Tokyo Institute of Technology. With over two decades of research experience including positions at National Institute for Materials Science (NIMS) and Yokohama City University, he leads cutting-edge work in nanoionics and neuromorphic computing. His research focuses on atomic switches , reservoir computing , and memristive systems , with particular expertise in Ag 2 S-based physical reservoirs that process information through ionic diffusion and filament formation. Hasegawa's work bridges materials science, electronics, and artificial intelligence, developing hardware solutions for edge computing that operate with minimal power consumption. Analysis of his 15 most recent publications reveals a strong trend toward practical implementations of physical reservoir computing, with applications in optical signal processing, tactile sensation, game theory systems, and deep learning hardware. His team consistently achieves high accuracy rates (81-98%) while addressing critical challenges like fabrication yield, noise sensitivity, and operational stability. SSDM Award 2020 for Quantum Point Contact Switch Tsukuba Prize 2017 Japan Society of Applied Physics Outstanding Paper Award 2012 NIMS Chairman's Research Achievement Award 2010 Science and Technology Prize of MEXT 2007 Hasegawa maintains active collaborations with institutions including NIMS and RIKEN, securing significant research funding for nanoarchitectonics projects. His laboratory specializes in in-materio computing using atomic switch networks, with recent work demonstrating million-cycle endurance and direct optical signal processing capabilities. Current research emphasizes practical deployment of reservoir computing systems for robotics and edge AI applications.