The Kyoto Institute of Technology is a prestigious national institution in the heart of Kyoto, Japan, founded in 1949. Kyoto Institute of Technology has a long history of furnishing quality education and conducting groundbreaking research in various fields such as engineering, design, and science.
Kyoto Institute of Technology has been dedicated to innovation, and collaboration has assisted it in becoming a leader in advanced materials science, robotics and automation, and environmental science and engineering.
Kyoto Institute of Technology contributes to the sustainable advancement of society via education, research, and technological innovation. Kyoto Institute of Technology strongly emphasizes transdisciplinary collaboration, focusing on tackling society-s complicated challenges by incorporating diverse knowledge and perspectives.
Address: Matsugasaki Hashikamicho, Sakyo Ward, Kyoto, 606-8585, Japan
Phone: +81 75-724-7014
Email: nyushi@kit.ac.jp
Website: https://www.kit.ac.jp/
• Undergraduate Program - Information Science
• Master-s Program - Information Science
• Doctoral Program - Engineering Design　
The Kyoto Institute of Technology in Japan has a vibrant computer science research community that is focused on developing cutting-edge technologies in areas such as
• Intelligent Science and Technology
• Social Informatics
• System Science
• Communication and Computer Engineering
• Computational Intelligence and Systems
• Intelligent Control Systems
• Interactive Intelligence
• Multimedia Data Engineering
• Image Processing
• Visual Information
• Computer Systems
• Software Engineering
• Information Security
• Communication Systems
• Distributed Systems
• Educational Technology
• Human Information Technology
• Cognitive Behavioral Science
• Human Interface
• Data Science
Intelligent Science and Technology;
Neuroinformatics;
• Brain Decoding
• Brain-Machine Interface
• Brain Imaging
• Computational Neuroscience
• Vision Science
Psychoinformatics;
• Higher Brain Function
• Cognitive Neuropsychology
• Cognitive Interface
• Neuromarketing
• Cognitive Science
Cognitive Informatics;
• Cognitive Neural Dynamics
• Neural Informatics for Communication
• Multimodal Information Integration
• Functional Brain Measurements
Computational Cognitive Neuroscience;
• Cognitive Neuroscience
• Decision Making and Reinforcement Learning
• Neurocomputational Mechanism of Social Functions
• Brain-based Intelligence and Machine Learning
• Human fMRI Experiments with Quantitative Methods
Computational Intelligence;
• Knowledge Discovery
• Computational Learning Theory
• Optimization for Machine Learning
Collective Intelligence;
• Machine Learning
• Data Mining
• Human Computation
Conversational Informatics;
• Artificial Intelligence
• Interaction
• Visual Computation
• Cognitive Design
Language Media Processing;
• Language Information Processing
• Language Analysis
• Language Synthesis
• Machine Translation
• Information Retrieval
Speech and Audio Processing;
• Speech Recognition and Understanding
• Music Information Processing
• Human-Robot Interaction
• Statistical Signal Processing and Pattern Recognition
Computer Vision;
• Visual Information Processing
• Visual Intelligence
Video Media;
• Visual and Physiological Sensing
• Human Motion Understanding and Assist
• Communication Sensing and Support
Network Media;
• The Internet
• Information Security
• Algorithms
• Computational Complexity
Text Media;
• Language Understanding
• Language Generation
• Language Knowledge Acquisition
• Verbalizing for Thought and Understanding
• Symbol Grounding
Biological Information Networks;
• Bioinformatics
• Mathematical and Computational Biology
• Complex Networks
Social Informatics;
• Educational and Learning Analytics
• Large-scale consensus formation support system using automatic facilitation agents
• Information system for Pedestrian Navigation
System Science;
Human Machine Symbiosis;
• Mechanical Systems Control
• Human Systems
• Integrated Dynamical Systems
System Synthesis;
• Mathematical Information Systems
• Statistical Intelligence
Systems Informatics:
• Learning Machines
• Integrated Systems Biology
• Biomedical Engineering
Applied Informatics;
• Super Computing
• Media Computing
Communication and Computer Engineering;
• Multi-media communications and information networks
• signal processing
• VLSI technologies
• space radio and computer radio engineering
• radio atmospheric sciences
Computational Intelligence and Systems;
• Optimization
• machine learning for designing artificial intelligent systems
• Artificial intelligence
• Reinforcement learning
• Evolutionary computation
• Genetic algorithms
Intelligent Control Systems;
• System and control theory
• Intelligent control
• System analysis
• Control system design
Interactive Intelligence;
• Machine learning
• Interaction design
• Cognitive developmental model
• Spoken dialogue system
• Social presence
Multimedia Data Engineering;
• Data engineering
• Data Science
• Multimedia
• Affective engineering
• Facial expression recognition
Image Processing;
• Image instrumentation
• Image recognition
• Machine learning
• Design methodology of embedded systems
• Industrial IoT
Visual Information;
• Signal and image processing
• Pattern recognition
• Computer vision
• Machine learning
Computer Systems;
• Computer architecture
• Parallel processing
• Microprocessor design
• Storage system architecture
• Multithreading architecture
Software Engineering;
• Software repositories
• Software defects
• Source code analysis
• Machine learning
• Software testing
• Clone code
Information Security;
• Network security
• Secure protocol
• Technology for copyright protection
• Personal authentication
Communication Systems;
• Synchronization
• Modulation and coding scheme
• MIMO
• Medium access control
• Multiple access
• Local positioning systems
Distributed Systems;
• Internet operation and management technology
• Distributed system management
• Infrastructure visualization
• e-Learning
Educational Technology;
• The online learning environment
• Learning analytics
• and IT infrastructure for the educational environment
Human Information Technology;
• Motion sensing
• Machine learning
• Agent design
• AR and VR
• IoT
Cognitive Behavioral Science;
• Cognitive and psychological characteristics
• Individual differences in human characteristics
• Cognitive science and engineering
Human Interface;
• Interaction design
• Media communication
• Mobile interaction
• Awareness
Data Science;
• Text data analysis
• Interaction models
• Biological information modeling
• Biomedical Research Center
• Center for Manufacturing Technology
• Future-Applied Conventional Technology Centre
• Green Innovation Lab
• Materials Innovation Lab
• Center for Information Science
• Center for Open Access
• Center Advanced Technology Center
• International Program in Engineering for System Innovation (Doctoral Program)
• JASSO Honors Scholarship for Privately Financed International Students
• MEXT Scholarship
• JSPS Research Fellowship for Young Scientists
• KIT International Doctoral Program (IDP) Scholarship
To apply for a Ph.D. program at the Kyoto Institute of Technology in Japan, the following admission requirements are:
• Applicants must hold a Master-s degree in a related field from an authorized institution
• Non-native-speaking applicants must submit an official TOEFL or IELTS score report to demonstrate their language proficiency in English or Japanese
• Applicants are required to submit a detailed research proposal describing their proposed research topic, methodology, and objectives
• Applicants must provide official transcripts from all universities and colleges pursued
• Applicants must submit two or three letters of recommendation from academic referees
• Applicants may be expected to take a standardized test such as the GRE or GMAT
• A non-refundable application fee is required to pay
