The Tokyo Institute of Technology is one of the most influential universities in Japan and was founded in 1881. The Tokyo Institute of Technology is famed for its research excellence and technological innovation. Tokyo Institute of Technology has a long academic excellence history and is constantly ranked as one of the leading universities in the country.
Tokyo Institute of Technology research is strongly focused on advancing technology and resolving real-world problems. The Tokyo Institute of Technology is the hub of various research centers and institutes, covering fields such as energy, environment, information and communications technology, materials science, and more.
Some significant research areas at the Tokyo Institute of Technology are robotics and artificial intelligence, urban planning and design, and biomedical engineering. Tokyo Institute of Technology-s research aims to significantly affect society and the world by advancing technology and solving the most pressing challenges facing humanity today.
The Tokyo Institute of Technology endeavors to advance civilization, foster peace and prosperity around the world and strives to excel in cultivating global human potential through pioneering research and education in science and technology, enclosing industrial and social management.
Address:  2 Chome-12-1 Ookayama, Meguro City, Tokyo 152-8550, Japan
Phone:  +81 3-3726-1111
Email:  nyu.gak@jim.titech.ac.jp
Website:  https://www.titech.ac.jp/
• Undergraduate - Major Computer Science
• Graduate - Major Computer Science
• Graduate - Major Artificial Intelligence
• Graduate - Major Human Centered Science and Biomedical Engineering
The Tokyo Institute of Technology in Japan is renowned for its leading-edge research in computer science and some of its research areas are
• Bioinformatics
• Distributed algorithms
• Natural Language Processing
• Software Engineering
• Artificial Intelligence
• Data mining
• Archaeological Informatics
• Dependable System
• Computer Architecture
• Human-Computer Interaction
• Large Scale Computing
• Program Semantics
• Computer Graphics
• Machine Intelligence
• Computational Linguistics
• High-performance computing
• Programming Languages
Bioinformatics:
• Genome assembly and annotation
• Protein structure prediction
• Gene expression analysis
• Metagenomics
• Comparative genomics
Distributed algorithms:
• Consensus protocols in distributed systems
• Distributed graph algorithms
• Byzantine fault tolerance
Natural Language Processing:
• Machine translation
• Sentiment analysis
• Named entity recognition
• Question answering
Software Engineering:
• Empirical software engineering
• Software security
Artificial Intelligence:
• Explainable AI
• Multi-agent systems
• Transfer learning
• Robotics
Data mining:
• Time series analysis
• Big data analytics
• Social network analysis
• Web mining
Archaeological Informatics:
• 3D modeling and visualization of archaeological sites
• Digital preservation of cultural heritage
• Geospatial analysis in archaeology
• Citizen science in archaeology
Dependable System:
• Fault tolerance in distributed systems
• Real-time systems
• Safety-critical systems
• Cybersecurity
• Software reliability
Computer Architecture:
• Interconnection networks
• Energy-efficient computing
• High-performance computing
• FPGA-based computing
• Quantum computing
Human-Computer Interaction:
• Social computing
• Mobile computing
• Virtual and augmented reality
• Human-robot interaction
• Human factors in cybersecurity
Large-Scale Computing:
• Cloud computing
• High-performance computing
• Distributed computing
• Parallel algorithms
• Scalable storage systems
Computer Graphics:
• Computer animation
• Rendering algorithms
• Virtual reality
• Augmented reality
Machine Intelligence:
• Cognitive computing
• Neuro-inspired computing
• Explainable AI
• Brain-computer interfaces
• Computational Neuroscience
Computational Linguistics:
• Corpus linguistics
• Phonetics and phonology
• Syntax and semantics
• Computational lexicography
• Information retrieval
High-performance computing:
• Parallel programming models
• High-performance data analytics
• Performance optimization techniques
• Distributed computing frameworks
• Big data analytics
• Scientific computing
Programming Languages:
• Domain-specific languages
• Functional programming
• Object-oriented programming
• Logic programming
• Concurrent and parallel programming
Ichise Ryutaro Laboratory - Artificial Intelligence: Building intelligent machines
• Saito Suguru Laboratory - Computer graphics Image processing Human vision Color science
• Sato Laboratory - Machine-learning-based visual recognition
• Ohue Masahito Laboratory - Controlling life through computing
• Hayashi Shinpei Laboratory - Building smart software to enhance software evolution
• Kanezaki Asako Laboratory - Data-driven Intelligent Robotics
• Itoh Yuta Laboratory - Debug the real world; augment the human
• Okazaki Naoaki Laboratory - Intelligent computers that handle human languages
• Yano Kazuo Laboratory - AI & Data for the Happiness of People
• Ono Shunsuke Laboratory - Leverage math for sensing data processing
• Isshiki Tsuyoshi Laboratory - Creating All Kinds of Hardware from SW programs
• Takinoue Masahiro Laboratory - Creating Living Matter with Molecular Computing
• Murata Tsuyoshi Laboratory - Discovering knowledge from networks
• Tokunaga Takenobu Laboratory - Natural language understanding by computers
• Yamamura Masayuki Laboratory - Systems Life Sciences
• Ishida Takashi Laboratory - Data mining specific for big biological data
• Nishizaki Shin-ya Laboratory - Application of Theories to Applications
• Ishii Hideaki Laboratory - New directions in systems control driven by information and communications
• Kobayashi Takashi Laboratory - Exploit reusable experience for software development
• Ono Isao Laboratory - Artificial Intelligence based on Natural Evolution
• Shinoda Koichi Laboratory - Pattern Recognition & Its Applications to Real World
• Akiyama Yutaka Laboratory - Bioinformatics & drug discovery by supercomputing
• Yamada Seiji Laboratory - Cooperative systems with Humans and Computers
• Miyake Yoshihiro Laboratory - From Communication Science to Interface Creation
• Miyazaki Jun Laboratory - User-friendly smart information retrieval systems
• Takayasu Misako Laboratory - Big data: Systematic understanding of the complexity
• Gondow Katsuhiko Laboratory - Software development
• Kaneko Haruhiko Laboratory - Coding methods for dependable/efficient computers
• Shimosaka Masamichi Laboratory - Machine intelligence in ubiquitous computing
• Yokota Rio Laboratory - Fast algorithms for next-generation computers
• Kise Kenji Laboratory - Exploring high-performance computing architecture
• Yokota Haruo Laboratory - Secure and Dependable Data Processing
• Defago Xavier Laboratory - Dependable Distributed Systems
• Inoue Katsumi Laboratory - Human-Like Computing with Inference and Learning
• Watanabe Takuo Laboratory - Programming Languages for Complex and Secure CPS
• Koike Hideki Laboratory - Human-computer interaction, Computer vision, Computer graphics, Information security
• Yoshikawa Atsushi Laboratory - Embedded learning Critical thinking learning by business game Information management
• Sekijima Masakazu Laboratory - Drug Discovery and High Performance Computing
• Fujii Atsushi Laboratory
• International Graduate Program (IGP)
• Japanese Government (MEXT) Scholarship
• School of Computing Scholarship
• JASSO Scholarship
• Tokyo Tech Fellowships
To pursue a Ph.D. study at the Tokyo Institute of Technology, here are some general requirements and guidelines:
• Applicants should have completed a master-s degree in a closely related field from an approved university
• Applicants are required to demonstrate proficiency in English, and their TOEFL or IELTS scores are required
• Applicants must submit a research proposal that describes their proposed research topic, research questions, and methodologies
• Applicants are required to submit letters of recommendation from professors or researchers