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PhD Computer Science in Hiroshima University - Higashihiroshima City - Japan

Hiroshima University - Higashihiroshima City - Japan

About Hiroshima University

  Hiroshima University is a national institution in the city of Hiroshima, Japan and was chartered in 1949. Hiroshima University has a long history of furnishing high-quality education and carrying out groundbreaking research across various areas. One of Hiroshima University-s core areas of research is in the field of nuclear energy and its related sciences.

Hiroshima University also focuses on transdisciplinary research, with its researchers working over multiple fields to contend with some of the world-s most pressing challenges. Hiroshima University is also known for its dedication to social responsibility and sustainability.

Address & Website of Hiroshima University

Address:  1 Chome-3-2 Kagamiyama, Higashihiroshima, Hiroshima 739-8511, Japan

Phone:  +81 82-422-7111

Email:  infoeng-office@huis.hiroshima-u.ac.jp

Website:  https://www.hiroshima-u.ac.jp/

University Type:  National university

Computer Science Courses Offered by Hiroshima University

  

 •  Bachelor of Engineering in Computer Science and Intelligent Systems
 •  Master of Engineering in Computer Science and Intelligent Systems
 •  Doctor of Philosophy in Computer Science
 •  Data Science Course
 •  Informatics Course

Computer Science Research Areas - Hiroshima University

  

Hiroshima University in Japan is renowned for its outstanding research in various areas of computer science including
 •  Computer Systems
 •  Intelligent Systems
 •  Visual Information Science
 •  Learning Engineering
 •  Foundation of Computer Science
 •  Dependable Systems
 •  Distributed Systems
 •  Data Analytics and Modeling
 •  Advanced Network
 •  Information Security
 •  Informatics and Mathematical Science
 •  Pattern Recognition
 •  Social Computing
 •  Computational Complexity Theory
 •  Learning Analytics

Research Topics in Computer Science Research - Hiroshima University

Computer Systems;
 •  GPU Computing
 •  FPGA Computing
 •  Quantum Computing
 •  Artificial Intelligence and Machine Learning

Intelligent Systems;
 •  Machine learning
 •  High-performance computing
 •  Parallel and distributed computing
 •  Quantum computing
 •  Embedded System

Visual Information Science;
 •  Computer graphics and visualization
 •  Machine learning and deep learning
 •  Computer vision and natural language processing
 •  Biomedical imaging and image analysis

Learning Engineering;
 •  Knowledge-driven artificial intelligence
 •  Learning engineering
 •  Learning science
 •  educational technology
 •  human-computer interaction
 •  psychology

Foundation of Computer Science;
 •  Cryptography
 •  Privacy Protection
 •  Mobile Computing
 •  Wireless Networks
 •  Cellular Automata

Dependable Systems;
 •  Software reliability
 •  Software testing
 •  System performance evaluation
 •  Formal verification
 •  Safety analysis
 •  Software development

Distributed Systems;
 •  Edge computing
 •  Internet of Things (IoT)
 •  Pervasive computing
 •  Distributed consensus protocols
 •  Interactive computing

Data Analytics and Modeling;
 •  Deep Learning
 •  Bayesian Statistics and Modeling
 •  Model Selection
 •  Natural Language and Text Analysis
 •  Network Analysis
 •  Time Series Analysis

Advanced Network;
 •  Network Architecture
 •  IoT
 •  Cloud and Edge Computing
 •  Multimedia communication
 •  Network Operation and Management

Information Security;
 •  Access Control
 •  Lifecycle Management
 •  Data Security
 •  Data Science Education
 •  Cloud Security

Informatics and Mathematical Science;
 •  System theory
 •  Optimization
 •  Stochastic processes
 •  Fractals
 •  Signal processing
 •  Biological signal
 •  Statistical machine learning

Pattern Recognition;
 •  Machine learning
 •  Neural networks
 •  Image understanding
 •  Artificial intelligence

Social Computing;
 •  Data mining
 •  Recommendation System
 •  Privacy-preserving information retrieval
 •  Distributed Algorithms
 •  Biomedical Statistics

Computational Complexity Theory;
 •  Theoretical computer science
 •  Hierarchies of complexity classes
 •  Combinatorial computational geometry
 •  art gallery theorems

Learning Analytics;
 •  LMS (Learning Management System)
 •  learning data
 •  access log
 •  visualization
 •  text mining
 •  LTI (Learning Tools Interoperability)

Computer Science Research Labs with Specialization - Hiroshima University

 •  Hiroshima University Digital Monozukuri (Manufacturing) Education and Research Center
 •  HiSIM Research Center
 •  Information Media Center
 •  Natural Science Center for Basic Research and Development
 •  Education and Research Center for Artificial Intelligence and Data Innovation
 •  Research Institute for Radiation Biology and Medicine
 •  Center for Developing Pioneers in Science
 •  Research Center for Biomedical Engineering
 •  Research Institute for Nanodevices
 •  Research Institute for Radiation Accidents and Medical Science

Scholarship Programs and Funded Projects for Computer Science - Hiroshima University

 •  Research Scholarship for Doctoral Students
 •  Hiroshima University Graduate School of Information Sciences Scholarship for International Students
 •  Hiroshima University International Doctoral Program in Engineering Scholarship
 •  Japan Society for the Promotion of Science (JSPS) Fellowship for Postdoctoral Research in Japan
 •  MEXT (Ministry of Education, Culture, Sports, Science, and Technology) Scholarship for International Students
 •  Rotary Yoneyama Memorial Foundation Scholarship for International Students in Japan
 •  Asian Development Bank-Japan Scholarship Program for International Students
 •  JASSO (Japan Student Services Organization) Scholarship for Short-term Study in Japan
 •  Joint Japan/World Bank Graduate Scholarship Program (JJ/WBGSP) for Developing Country Nationals

PhD Admission Procedure for Computer Science -Hiroshima University


 •  To admit for a Ph.D. in Computer Science at Hiroshima University, the following admission requirements are generally expected
 •  Candidates must hold a master-s degree in Computer Science or a closely related field from an authorized institution
 •  As the language of instruction at Hiroshima University is Japanese, proficiency in Japanese is required. International students who are nonnative Japanese speakers must submit evidence of their proficiency in Japanese, such as the Japanese Language Proficiency Test (JLPT) certificate
 •  A detailed research proposal detailing research interests, research questions, methodology, and expected outcomes is required
 •  Candidates must submit official transcripts of their academic records, such as all courses and grades obtained in their undergraduate and graduate studies
 •  Candidates must provide at least two letters of recommendation from professors
 •  If English is not the candidate-s first language, candidates must submit evidence of proficiency in English, such as the TOEFL or IELTS scores
 •  Additional documents such as a statement of purpose, a CV or resume, and any other relevant certificates are also required

List of PhD Supervisors:
  Ph.D Supervisors in Hiroshima University