Dr. Ming Xiao

Professor

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Biography

Ming Xiao is a Professor at the KTH Royal Institute of Technology, actively engaged in research and education in the field of Information Science Engineering. His work encompasses several cutting-edge areas including Wireless Communications, Machine Learning, and Network and Channel Coding. Professor Xiao's research focuses on next-generation mobile networks, particularly Millimeter Wave and TeraHertz communications, as well as the Internet of Things and intelligent reconfigurable surfaces. He also explores distributed storage systems and coding in fog computing, demonstrating a notable commitment to the application of Machine Learning across various domains, including wireless networks and smart grid technologies. Professor Xiao has been recognized among the world's top 2% of researchers in his field by Stanford University and has received numerous funding for his research projects from prestigious organizations such as the Swedish Research Council and the EU Horizon programs. He has an extensive record of publication, contributing to various high-impact journals, and serves on several editorial boards and committees within the academic community. His roles also include comprehensive mentorship of Ph.D. candidates and postdoctoral fellows, guiding them through advanced studies and projects.

Research Interests

Experience

Professor

— Present

KTH Royal Institute of Technology • Stockholm, Sweden

Leading research and educational initiatives in Information Science and Engineering.

Courses

Project courses in Information Engineering Data Science Machine Learning Emerging Information Technologies Industrial Digitalization Seminar Courses in Network and Information Engineering

Requirements for KTH Royal Institute of Technology

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:5.5
Reading
Required:5.5
Writing
Required:5.5
Speaking
Required:5.5
Overall
Required:6.5
TOEFL
Listening
Required:0
Reading
Required:0
Writing
Required:20
Speaking
Required:0
Total
Required:90
PTE
Listening
Required:0
Reading
Required:0
Writing
Required:62
Speaking
Required:0
Overall
Required:62
Prerequisites
Bachelor's degree (180 ECTS) in Science, Engineering, or a related field. Specific course requirements vary by department (e.g., Mathematics, Programming, or Subject-specific credits).
Application Checklist
  • Certificates and diplomas of completed degree
  • Transcript of records
  • Proof of English proficiency
  • Copy of passport or ID
  • Curriculum Vitae (CV)
  • Letter of Motivation
  • Letters of Recommendation (if required by program)
  • Summary of Project (if required)
Specialization Notes

Master's programs are organized under Schools; departments listed are units within these schools (e.g., EECS, ABE, CBH, ITM, SCI).