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Professor Dr. Anne Håkansson

Professor

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Biography

Anne Håkansson is a Professor at KTH Royal Institute of Technology, specializing in Intelligent Software Systems. Her research focuses on various aspects of Artificial Intelligence, including multi-agent systems, decision-making strategies, negotiation systems, and explainable AI. Håkansson is currently researching fully autonomous cyber-physical systems within the transportation sector and Industry 4.0, emphasizing adaptiveness and robustness to ensure trustworthy behaviors. She aims to leverage smart technologies to enhance social interactions in smart cities, creating automated smart products and services that promote context-awareness and sustainability. Among her notable contributions is groundbreaking work on intelligent software systems for detecting premature colon cancer through advanced visualization techniques, which have yielded outstanding results in the early detection of similar diseases. Throughout her career, Håkansson has been involved in various national and international projects.

Research Interests

Artificial Intelligence Intelligent Software Systems Multi-Agent Systems Decision-Making Strategies Negotiation Systems Explainable AI Cyber-Physical Systems Smart Cities Sustainability

Courses

Artificial Intelligence Applied Methods (ID1214) Artificial Intelligence Applications (FID3027)

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).