Dr. Thashmee Karunaratne

Associate Professor

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Biography

Thashmee Karunaratne is an Associate Professor at the KTH Royal Institute of Technology, specializing in digital learning. With a focus on analytics-based design and digital transformation, Thashmee's research centers around data-informed education and educational transformation. His work bridges the fields of datafication, semantics, and implementation science within information systems, emphasizing the role of machine learning and data mining in enhancing student performance and skill development. Thashmee has led numerous national and international projects, including EU-funded initiatives such as SkillsMatch and De4A, which explore semantic interoperability in public services. He is a proactive researcher in institutional readiness for data sharing and evidence-based decision-making, contributing to frameworks and platforms that promote collaboration among universities, industry partners, and public sector organizations. Additionally, Thashmee investigates the impact of digital transformation on soft digital skills, aiming to enhance the employability and digital competence of students and educators. He has been instrumental in designing online blended learning initiatives and teacher training programs in countries such as Ukraine and Rwanda, and has contributed to ICT development projects across Africa, Asia, and Latin America.

Research Interests

Experience

Associate Professor

— Present

KTH Royal Institute of Technology • Stockholm, Sweden

Teaching and research in the field of digital learning, focusing on analytics-based design and digital transformation.

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).