Dr. Amir Payberah

Associate Professor

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Biography

Amir Hossein Payberah is an Associate Professor at KTH Royal Institute of Technology in the Computer Science Division, specializing in software computer systems. He earned his PhD from KTH in 2013, focusing on distributed systems. During his doctoral studies, he worked as a postdoctoral researcher at the Research Institute of Sweden (RISE), where he concentrated on data-intensive computing platforms. From 2013 to 2015, he served as a guest lecturer at Amirkabir University of Tehran (AUT). In 2017, he took on the role of machine learning scientist at Oxford University until 2018 before returning to KTH as an Assistant Professor in Computer Science. He currently directs the Information Communication Technology (ICT) doctoral program and represents the Software Computer Systems (SCS) specialization in the department. His research emphasizes the intersection of equity and justice in artificial intelligence, particularly in the context of large language models. He initiated the co-liberative computing research group, promoting critical awareness in computer science education and advocating for justice and equity as foundational values in research and education. His commitment to collective liberation seeks to address systemic injustices in the field of computing, aiming for technology to serve as a force for positive change.

Research Interests

Experience

Associate Professor

2018-01-01 — Present

KTH Royal Institute of Technology • Stockholm, Sweden

Teaching and conducting research in Computer Science, focusing on machine learning and data-intensive systems.

Courses

Advanced Course in Large Scale Machine Learning Advanced course in Data-Intensive Computing Data Feminism Data-Intensive Computing Scalable Machine Learning

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).