Dr. Carlo Fischione

Professor

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Biography

Carlo Fischione is a Professor at KTH Royal Institute of Technology, with extensive experience in the field of Network and Systems Engineering. He specializes in various aspects of machine learning and communication networks. His research interests encompass advanced topics in wireless networks, the Internet of Things (IoT), and artificial intelligence applied to networked systems. Fischione is actively involved in teaching and guiding students in courses related to machine learning and networked artificial intelligence. He contributes to the academic community through his published works and participation in research projects. With a robust academic background and a passion for innovation in network technologies, he is dedicated to advancing the field and mentoring the next generation of engineers.

Research Interests

Machine Learning Communication Networks Wireless Networks Internet of Things Artificial Intelligence Networked Artificial Intelligence

Courses

Fundamentals of Machine Learning Networks (FEP3260) Internet of Things (EP270V) Internet of Things Artificial Intelligence (EP271V) Networked Artificial Intelligence (EP2900) Principles of Wireless Sensor Networks (EP2700) Seminar on Advanced Topics in Communication Networks 1 (FEP3316) Seminar on Advanced Topics in Communication Networks 2 (FEP3317) Wireless Networks (EP2950)

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).